WorldWideScience

Sample records for based intranet remote

  1. Networked control and supervision system based on LonWorks fieldbus and Intranet/Internet

    Institute of Scientific and Technical Information of China (English)

    WU Min; ZHAO Hong; LIU Guo-ping; SHE Jin-hua

    2007-01-01

    A networked control and supervision system (NCSS) based on LonWorks fieldbus and Intranet/Internet was designed,which was composed of the universal intelligent control nodes (ICNs), the visual control and supervision configuration platforms (VCCP and VSCP) and an Intranet/Internet-based remote supervision platform (RSP). The ICNs were connected to field devices,such as sensors, actuators and controllers. The VCCP and VSCP were implemented by means of a graphical programming environment and network management so as to simplify the tasks of programming and maintaining the ICNs. The RSP was employed to perform the remote supervision function, which was based on a three-layer browser/server(B/S) structure mode. The validity of the NCSS was demonstrated by laboratory experiments.

  2. 36 CFR 1194.22 - Web-based intranet and internet information and applications.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 3 2010-07-01 2010-07-01 false Web-based intranet and internet information and applications. 1194.22 Section 1194.22 Parks, Forests, and Public Property... STANDARDS Technical Standards § 1194.22 Web-based intranet and internet information and applications. (a)...

  3. Structuring Job Related Information on the Intranet: An Experimental Comparison of Task vs. an Organization-Based Approach

    Science.gov (United States)

    Cozijn, Reinier; Maes, Alfons; Schackman, Didie; Ummelen, Nicole

    2007-01-01

    In this article, we present a usability experiment in which participants were asked to make intensive use of information on an intranet in order to execute job-related tasks. Participants had to work with one of two versions of an intranet: one with an organization-based hyperlink structure, and one with a task-based hyperlink structure.…

  4. Research of Secure Intranet/Internet Access Platform Based on Ontology

    Directory of Open Access Journals (Sweden)

    Shigen Shen

    2009-12-01

    Full Text Available Faced with the general trend of centralization of information, the biggest challenge to enterprise is how to ensure that all fixed computers and different mobile devices anywhere can access securely and quickly enterprise's businesses. To solve this problem, an Ontology-based Secure intranet/Internet Access Platform (OSAP is presented. Ontology has been applied to the field of software resources sharing. Software resource ontology is defined for building the foundation of Software Resource Ontology Sharing Model (SROSM and the OSAP. The OSAP framework is presented by semantic modeling based on SROSM for providing users with better and higher QOS in sharing software resources. The OSAP is designed with OSAP Portal, Connection Module, Session Management Module, Security Module, RDP Module, and Bitmap Caching Module. The design ideas and functionalities of all modules are introduced. Based on the open Remote Desktop Protocol (RDP, the OSAP prototype is realized and key technologies including client display, data compression and security are described. To guarantee data transmission security and avoid access problem due to the firewall obstructing port 3389, the SSL protocol is employed to encapsulate RDP data packages between clients and OSAP as the RDP is used between OSAP and Terminal Services servers. Experimental results demonstrate that the OSAP has better performance involving response time, network usage, RAM usage and CPU usage.

  5. Developing an intranet towards knowledge sharing: A practitioner-based inquiry

    Directory of Open Access Journals (Sweden)

    U. R. Averweg

    2008-11-01

    Full Text Available The intranet is a common feature in many organizations. With the increasing use of a technology infrastructure in organizations, there is a continued challenge for employees in an organization to contribute their knowledge willingly and to make use of knowledge sharing with other employees. Intranets are well-suited for use as a strategic tool in knowledge sharing due to their ability to support the distribution, connectivity and publishing of data and information. Intranets should be seen as integral to an organization’s knowledge management strategy and should be tailored to suit and enhance an organization’s knowledge-sharing activities. The question arises: To what extent does an organization’s existing intranet facilitate knowledge sharing? From a practitioner-based inquiry perspective, this question was explored by the selection of a large organization – eThekwini Municipality, Durban, South Africa – as the field of application. Derived from a mixed methodology approach, the results of a survey are presented. It is suggested that encouragement be given for more practitioner-based inquiry research.

  6. Upgrading a ColdFusion-Based Academic Medical Library Staff Intranet

    Science.gov (United States)

    Vander Hart, Robert; Ingrassia, Barbara; Mayotte, Kerry; Palmer, Lisa A.; Powell, Julia

    2010-01-01

    This article details the process of upgrading and expanding an existing academic medical library intranet to include a wiki, blog, discussion forum, and photo collection manager. The first version of the library's intranet from early 2002 was powered by ColdFusion software and existed primarily to allow staff members to author and store minutes of…

  7. Intranet design annual 2016 the year's 10 best intranets

    CERN Document Server

    Pernice, Kara; Caya, Patty

    2016-01-01

    Get an inside look at the 10 best intranet designs of 2016. This 498-page report is the only place to find this information, with 166 full-color screenshots of before-and-after designs, which are usually protected behind the organization's firewall. Comprehensive case studies, detailed best practices and annotated screenshots keep you up-to-date on current trends and challenges that you can use to improve your own intranet design. The winning intranets were chosen by expert review based on design and usability, from an international field of submissions.

  8. The intranet management handbook

    CERN Document Server

    White, Martin

    2011-01-01

    Rarely does the organization have more than one intranet manager, and intranet management is often only one of their many responsibilities. This book offers practical advice on intranet management. It includes areas such as: managing intranets - opportunities and challenges; defining user requirements; making a business case; and, more.

  9. The ambiguous challenge of intranets

    DEFF Research Database (Denmark)

    Thommesen, Jacob

    2003-01-01

    increases with tendencies to cooperate and communicate across organisational boundaries, mainly as a reaction to developments in markets and industrial knowledge base, but also due to the potential provided by computer network. In the third chapter I identify some characteristics of two fundamental intranet...... media, email and the web, partly in the perspective of media richness theory, partly compared with philosophical discussions of classical media. The fourth chapter presents an intranet in a global company, in which problems and challenges related to ambiguity have proven significant....

  10. The Simulation Intranet Architecture

    Energy Technology Data Exchange (ETDEWEB)

    Holmes, V.P.; Linebarger, J.M.; Miller, D.J.; Vandewart, R.L.

    1998-12-02

    The Simdarion Infranet (S1) is a term which is being used to dcscribc one element of a multidisciplinary distributed and distance computing initiative known as DisCom2 at Sandia National Laboratory (http ct al. 1998). The Simulation Intranet is an architecture for satisfying Sandia's long term goal of providing an end- to-end set of scrviccs for high fidelity full physics simu- lations in a high performance, distributed, and distance computing environment. The Intranet Architecture group was formed to apply current distributed object technologies to this problcm. For the hardware architec- tures and software models involved with the current simulation process, a CORBA-based architecture is best suited to meet Sandia's needs. This paper presents the initial desi-a and implementation of this Intranct based on a three-tier Network Computing Architecture(NCA). The major parts of the architecture include: the Web Cli- ent, the Business Objects, and Data Persistence.

  11. Intranet for library services

    OpenAIRE

    Gunjal, Bhojaraju

    2003-01-01

    The article gives brief introduction about the Intranet, its history, need in an organization, merits and demerits, characteristics and current trends in internet technology. The use of intranet in providing library services like SDI, CAS and other information management explained with a schematic diagram.

  12. Report on the Design, Development and Compilation of a Bilingual Multifunctional Intranet-based Convergence Telecom Lexinome at a Major Danish Telecoms Group

    DEFF Research Database (Denmark)

    Simonsen, Henrik Køhler

    2000-01-01

    This paper discusses the conceptual considerations for the design and development of an Intranet-based lexicographic knowledge management system at Tele Danmark (TD). The Convergence Telecom Lexinome is thus the result of the interplay between theory and practice. The design and development of CTL...

  13. Exploiting the potential of intranet for managing drug spectrum a web base publication in a Tertiary Care Hospital in Mumbai

    Directory of Open Access Journals (Sweden)

    Yashashri Chandrakant Shetty

    2015-01-01

    Full Text Available Objective: The study surveyed the availability of the intranet in campus and also the knowledge related to drug spectrum an intranet publication. Materials and Methods: Institutional ethics committee permission was obtained. Verbal consent was taken from the faculty and resident doctors of departments where all the facilities were available. Universal sampling method was used for recruitment. Pre-validated questionnaires were given to approximately 100 faculty and 500 resident doctors in the year 2012-2013. The questionnaire contained 15 items. Content analysis was done. The study questionnaire focused on a survey to obtain participants feedback on the use of the intranet and to evaluate the use of intranet as a source of knowledge. It also dealt on the relevance of the drug spectrum in the context of their subject. The responses were taken after giving the participants sufficient time. Data was entered into an Excel 2003 spread sheet and analyzed by using descriptive statistics. Results: The total number of respondents who participated in our study was 134 including faculty and residents from various departments. A total of 117 (89.66% respondents stated that their departments have access to the internet. Departments having access to intranet was 103 (76.29%. 67 (49.62% respondents have accessed. 67 (49.62% did not have the time to visit intranet site whereas 67 (49.62% have not accessed intranet. 89 (65.92% respondents were not aware of the drug spectrum. 101 (74.81% respondents felt that drug spectrum is a useful activity on intranet. 45 (33.33% knew about the intranet periodical drug spectrum, but most of the respondents (33.33% explained the meaning of the word drug spectrum according to their understanding, but never knew about the online intranet journal drug spectrum. Conclusion: The study found that the intranet is available in the campus, but it is not being utilized. The awareness and knowledge regarding drug spectrum is lacking, but

  14. Exploiting the potential of intranet for managing drug spectrum a web base publication in a Tertiary Care Hospital in Mumbai

    OpenAIRE

    Yashashri Chandrakant Shetty; Tejal Chetan Patel; Urwashi Indrakumar Parmar

    2015-01-01

    Objective: The study surveyed the availability of the intranet in campus and also the knowledge related to drug spectrum an intranet publication. Materials and Methods: Institutional ethics committee permission was obtained. Verbal consent was taken from the faculty and resident doctors of departments where all the facilities were available. Universal sampling method was used for recruitment. Pre-validated questionnaires were given to approximately 100 faculty and 500 resident doctors in the ...

  15. Java technology for implementing efficient numerical analysis in intranet

    International Nuclear Information System (INIS)

    This paper introduces some useful Java technologies for utilizing the internet in numerical analysis, and suggests one architecture performing efficient numerical analysis in the intranet by using them. The present work has verified it's possibility by implementing some parts of this architecture with two easy examples. One is based on Servlet-Applet communication, JDBC and swing. The other is adding multi-threads, file transfer and Java remote method invocation to the former. Through this work it has been intended to make the base for the later advanced and practical research that will include efficiency estimates of this architecture and deal with advanced load balancing

  16. Curso autoasistido en intranet

    OpenAIRE

    Cavaller, Daniel G.; Piccolella, Fernando

    1998-01-01

    El presente proyecto de investigación: “Desarrollo de la Capacitación en intranets por aplicación de sistemas inteligentes” o “Curso Autoasistido en Intranet” contó con el auspicio de la Cooperadora de la Facultad de Ciencias Económicas de la Universidad Nacional de Cuyo y se presenta al C.A.C.I.C. 98. El proyecto, trata sobre el análisis cualitativo y cuantitativo de las bondades de la capacitación por medios no convencionales a través de la Intranet. Para ello se parten de los requisitos...

  17. INTRANET AND INTERNET

    OpenAIRE

    Waghmode, S. S.; Giri, V. V

    2010-01-01

    Libraries are turning to a relatively new concept call the INTRANET to gain competitive advantage, expedite information sharing, and provide enhanced readers service, conduct online training, improve productivity and quality, and bring the library to new levels of effectiveness with one stroke.

  18. Workshop Scheduling Based on a Rule-restrained Colored Petri Net and the Development of a Scheduling System on the Internet/Intranet

    Institute of Scientific and Technical Information of China (English)

    CAO Yan; ZHAO Ru-jia

    2004-01-01

    In the paper, the gap between theoretical research and practical applications of workshop scheduling is analyzed. According to practical application requirements, the traditional Petri net is expanded and a Rule-restrained Colored Petri Net(RCPN) is put forward to model workshop activities.Then, the architecture of the workshop scheduling system based on RCPN is presented. Finally, the scheduling system that adopts a 3-layer B/S/D mode is developed on the Internet/Intranet by using the Web database and Java.

  19. 基于DHCP Snooping的校园网ARP防范研究%Study on ARP’s Preventions on School Intranet Based on DHCP Snooping

    Institute of Scientific and Technical Information of China (English)

    覃仲宇

    2014-01-01

    针对校园网普遍存在的ARP攻击、私设DHCP服务器和IP地址冲突等问题,经过分析ARP攻击原理,并结合本院实例给出了基于DHCP Snooping的校园网ARP防范解决方案。%Aiming at the problems of attack by ARP on the school intranet, Private DHCP server and the conflict by IP address, this article accounts for the principles of ARP. Moreover, it also provides the how to prevent attack by ARP with the concrete examples base on DHCP Snooping.

  20. A New European distance training environment delivering VET services: In.Tra.Net system

    Directory of Open Access Journals (Sweden)

    Maria Riccio

    2009-10-01

    Full Text Available This contribution' main goal is to describe an innovative learning system and approach aimed to support professional training in using complex and last generation electric apparatus through distance laboratory reproducing real conditions and technical instruments The paper describes a comprehensive solution based on a distance learning environment to distribute theoretical and practical learning activities to control and manage remote real instrumentations via Internet and web solutions. This specific solution derives from the project IN.TRA.NET (Innovation Transfer Network, a Leonardo da Vinci’ transfer of innovation project funded under the 2008 call of Life Long Learning. The paper briefly presents the general framework for distance experimental learning environments, IN.TRA.NET' goals and features and the first project' evidences arising from preliminary need analysis.

  1. Kozloduy NPP intranet portal, Bulgaria

    International Nuclear Information System (INIS)

    The Kozloduy NPP intranet portal was established in the late 1990s. The purpose of the portal was to provide access to general and frequently used information necessary for routine and daily work of the plant staff. Over the years the intranet site has been continuously improved and extended. The portal is now a standard tool for every member of plant personnel. The portal architecture has been designed on a modular basis and follows the general structure of the plant. The home page contains general, publicly accessible and frequently used information and corresponding links. Each major division maintains its own sub-portal, which services the specific needs of the division personnel. Hierarchical structure, pull down and shortcut menus facilitate navigation and provide a user friendly interface. The portal is based on FrameWork 1.1 and DotNetNuke and provides group and individual communications and data exchange. Most of the major plant databases related to documentation, plant operation, plant safety, plant systems data, training and human resources are accessible through the portal. Miscellaneous information and useful internal and external links also are available. Different types of communication services are organized through a separate server. Depending on their role and position, each staff member has been provided with an internal and/or external email address and an individually configured internet connection. For general purposes cable internet is accessible at several points, which are evenly located around the site, and there is also a secure wireless network connection. Search and retrieve functions are implemented through respective engines, which are incorporated into applications. The portal has a strongly defined access rights system. Anonymous access is prevented; page personalization is available only for limited specific cases. Figures show the home page and the path to Units 5 and 6 on-line technical parameters

  2. Design and development of motor parts trade netware based on intemet/intranet%汽配行业基于Internet/Intranet网络的设计与实现

    Institute of Scientific and Technical Information of China (English)

    袁友伟; 张建伟; 周序生

    2001-01-01

    文中介绍了基于Internet/Intranet网络的设计与实现,并对千兆位以太网和ATM的QoS进行了分析和比较,采用先进的基于硬件的防火墙技术,有效地改善了管理网络用户的方式。%The paper introduces the design and the realization of the motor parts trade netware based on Intemet/Intranet The paper analyses a few kinds of combined techniques which are adopted by the QoS ofgigabit Ethernet, and compares these techniques with QoS of ATM. A kind of technology ofimplementing fireware which based on Hardwall. The way to manage the network is improved in the realization of network management.

  3. Intranet in Nuclear Power Plant Krsko - IntraNEK

    International Nuclear Information System (INIS)

    Intranet servers enable real business functionality such as publishing information, processing data and database applications, and collaboration among employees, vendors, and customers. Across all industries, intranet is rapidly reshaping company-wide communication, productivity, and innovation - and saving significant time and money in the process. IntraNEK can provide information in a way that is immediate, cost-effective, easy to use and rich in format. First Home Page of intranet in NPP Krsko was published early 1997. Until now, we published USAR-Updated Safety Analysis Report, Flow diagrams (the most frequently used series of drawings), With normal option which inernet/intranet (prompt access to any part of USAR and Technical Specification, prompt access and zooming capabilities to flow diagrams, full text searching common/advance...) and Safety Screenings Data Base. Safety Screenings Data Base is typical example of connection of Data Base (in our case popular and well know ACCESS) and PC based WWW server. Those first applications (on a one-to-many basis) show how IntraNEK brings an immediate payback to NPP Krsko, eliminating the costs of producing, printing, and shipping necessary information and reducing bulky, easily outdated paper-based documents. USAR and drawings are published on HP-UX platform (Netscape WWW Server) and Safety Screenings Data Base is published on PC platform (Microsoft WWW Server) and show us how hardware become transparent and how intranet reduce cost in client software, regardless of their choice of hardware platform. We do believe that this new technological solution should also be used in the nuclear industry, since intranet could meet and exceed all required QA and QC standards and regulations. In the paper we are going to present the examples of future applications and we will described the necessary preconditions which have to be fulfilled before IntraNET could be used as an official tool and source of information in the design

  4. A clinical intranet model for radiation oncology

    International Nuclear Information System (INIS)

    Purpose: A new paradigm in computing is being formulated from advances in client-server technology. This new way of accessing data in a network is referred to variously as Web-based computing, Internet computing, or Intranet computing. The difference between an internet and intranet being that the former is for global access and the later is only for intra-departmental access. Our purpose with this work is to develop a clinically useful radiation oncology intranet for accessing physically disparate data sources. Materials and Methods: We have developed an intranet client-server system using Windows-NT Server 4.0 running Internet Information Server (IIS) on the back-end and client PCs using a typical World Wide Web (WWW) browser. The clients also take advantage of the Microsoft Open Database Connectivity (ODBC) standard for accessing commercial database systems. The various data sources used include: a traditional Radiation Oncology Information (ROIS) System (VARiS 1.3tm); a 3-D treatment planning system (CAD Plantm); a beam scanning system (Wellhoffertm); as well as an electronic portal imaging device (PortalVisiontm) and a CT-Simulator providing digitally reconstructed radiographs (DRRs) (Picker AcQsimtm). We were able to leverage previously developed Microsoft Visual C++ applications without major re-writing of source code for this. Results: With the data sources and development materials used, we were able to develop a series of WWW-based clinical tool kits. The tool kits were designed to provide profession-specific clinical information. The physician's tool kit provides a treatment schedule for daily patients along with a dose summary from VARiS and the ability to review portal images and prescription images from the EPID and Picker. The physicists tool kit compares dose summaries from VARiS with an independent check against RTP beam data and serves as a quick 'chart-checker'. Finally, an administrator tool kit provides a summary of periodic charging

  5. Intranet technology in Scottish NHS Trusts.

    Science.gov (United States)

    Wilson, S M; Jackson, K A

    1999-02-01

    Intranet technology has the potential to turn everything we've taken for granted in internal communication upside down. This paper looks at the uptake and use of Intranet technology in NHS Trusts in Scotland and discusses some of the uses of an Intranet system. PMID:10218226

  6. Self Acknowledgeable Intranet Mail System

    Directory of Open Access Journals (Sweden)

    Ms. Rajaprabha M N

    2013-02-01

    Full Text Available Intranet mail system allows members of an organization to send or receive mails among them. But the sender don’t know whether the sent mail is viewed by the receiver in time or not, the response for the mail in the receiver side and so on, unless he receive a mail or message personally from the receiver. So this Self Acknowledgeable Intranet Mail System has been designed and implemented to benefit thesender about the status of his mail. Once a mail is sent, the sender can know the receiver activity in the mail system until the mail is viewed.

  7. Designing and developing library intranets

    CERN Document Server

    McHale, Nina

    2013-01-01

    For the past decade, e-mail has been the preferred method of internal communication in libraries. However, relying on email for organizational knowledge management seems a bit like storing birth certificates, car titles, and deeds in a pile of junk mail: the important documents are lost amongst other items of only minimal or fleeting importance. A successful intranet can provide a secure place for information exchange and storage; however, in order to be successful, a library intranet must be easy to use, have the functionality desired by its users, and be integrated into the daily workflows o

  8. Intranets and Digital Organizational Information Resources: Towards a Portable Methodology for Design and Development.

    Science.gov (United States)

    Rosenbaum, Howard

    1997-01-01

    Discusses the concept of the intranet, comparing and contrasting it with groupware, and presents an argument for its value based on technical and information management considerations. Presents an intranet development project for an academic organization and describes a portable, user-centered and team-based methodology for the design and…

  9. I&R Systems on the Internet/Intranet Cites as the Tool for Distance Learning

    OpenAIRE

    Donchenko, Andrii

    2007-01-01

    This article considers the Internet/Intranet information systems as the tool for distance learning. Author considers the model of the 3-tier WEB based information system, the idea of the language for implementing and customized solution, which includes the original language and processor for fast prototyping and implementing small and middle sized Internet/Intranet information systems.

  10. 铁路企业网(Intranet)的应用%Application of Railway Intranet

    Institute of Scientific and Technical Information of China (English)

    孙喜平

    2001-01-01

    以国际互联网技术为基础的电子贸易对铁路运输管理体制产生了深远的影响。作为铁路运输和外部社会进行信息、服务交流界面的铁路营销,面对着电子商务时代的挑战和历史机遇。本文论述了在这种形势下,铁路企业网(Intranet)的应用。%Based on the Internet technology,electronic trade brings about profound influence on railway management system.As the interface to exchange information,service etc.between railway and the outside world,Railway marketing is facing a history challenge and opportunity.This paper introduced application of Railway Intranet.

  11. MSDS and TDG - intranet software for an electric utility

    Energy Technology Data Exchange (ETDEWEB)

    Fernihough, W.J.; Wilson, K. [British Columbia Hydro, Vancouver, BC (Canada)

    1998-12-01

    In the last decade, employers faced many challenges in complying with the elements of WHMIS (Workplace Hazardous Materials Information System). One of the biggest challenges for BC Hydro with WHMIS compliance was the management of the Materials Safety Data Sheet (MSDS). This challenge led to the development of BC Hydro`s current data base system which provides employees with intranet access not only to MSDS and workplace labels but also to transportation of dangerous goods (TDG) fact sheets and sample shipping documents. The intranet capability allows the MSDS program to be accessed from multiple locations and provides a consistent service throughout the province. Some of the features of the service are instantaneous updating and feedback to the users. A search conducted on the INTRANET produces an MSDS in a matter of seconds.

  12. Building an intranet digital mammography case library

    Science.gov (United States)

    Zhang, Hong; Lou, Shyhliang A.; Fan, Yu; Sickles, Edward A.; Huang, H. K.

    2000-05-01

    To practice mammography diagnosis effectively, radiologists expect convenient access to well-organized and authoritative mammography related information, especially when there is case in question. The purpose of this study is to build infrastructural diagnosis support by incorporating various clinical information into a digital mammography case library, and allow user to search the library based on mammographic findings. The digital mammography case library has a three- tier architecture: (1) Back-end mammography databases integrate multimedia clinical information from various operational systems, including RIS and PACS. Cases are stored in a finding index database powered by an object-relational database with finding-coded reports, which are modeled around the ACR BI-RADS (American College of Radiology, Breast Imaging Report and Data System) standard. (2) The middle-end application controllers process application logic, such as user authorization, HTTP request handling, database connection and dynamic HTML page generation. (3) Web-based user interface is developed for authorized Intranet personnel to formulate query based on radiological finding (such as mass, calcification and architectural distortion), shape and assessment, using ACR BI-RADS specified lexicon. The case library so far has 103 cases selected from over 800 digital mammography studies carried out at the Mt. Zion hospital, UCSF, during an on-going digital telemammography project. We believe that an Intranet based digital mammography case library with mammographic finding search capability facilitates continuous medical education and online decision support, by providing exemplary study to compare with case in question.

  13. Factors that contribute to the reduction of the intranet portal usage in Malaysian Nuclear Agency and proposed solution to facilitate knowledge management activities

    International Nuclear Information System (INIS)

    Intranet has been identified as one of the base technology that could facilitate knowledge management activities in an organization. However, the Intranet utilization has became a global issue recently. In Malaysian Nuclear Agency, Intranet portal has been launched in April 2006 and was found that the intranet usage reduced dramatically since July 2006. Therefore, during the Intranet Tour Program 2007, a user survey has been conducted to identify potential factors that caused the reduction of the intranet usage and propose solution to overcome the problem. At the early stage, we found that there were many factors have contributed to the reduction of the intranet usage. And the important factor has led to the proposed Intranet Model called Knowledge-Nuclear Space (K-NSpace) to increase the intranet usage. K-NSpace is developed by associating available information or knowledge to the right user context which can improve usability and user acceptance of the intranet portal. This paper articulates the result of the user survey during the Intranet Tour 2007 program and generally explains the development of the proposed K-NSpace Model to Intranet portal in facilitating knowledge management activities at Malaysian Nuclear Agency. (Author)

  14. When the New Application Smell Is Gone: Traditional Intranet Best Practices and Existing Web 2.0 Intranet Infrastructures

    Science.gov (United States)

    Yoose, Becky

    2010-01-01

    With the growth of Web 2.0 library intranets in recent years, many libraries are leaving behind legacy, first-generation intranets. As Web 2.0 intranets multiply and mature, how will traditional intranet best practices--especially in the areas of planning, implementation, and evaluation--translate into an existing Web 2.0 intranet infrastructure?…

  15. Research of Distributed Inventory Management Based on Intranet%基于Intranet的分布式库存管理的模式研究

    Institute of Scientific and Technical Information of China (English)

    夏立玲

    2012-01-01

    In order to help enterprises to effectively reduce inventory cost, increase income, enhance the inventory management and control, this paper, according to the characteristics and demands of the modern enterprises for distributed inventory management, propo- ses the distributed inventory management system based on intranet system structure. It analyzes and designs the function model of dis- tributed inventory management system with the functions of in and out warehouse management, inventory statistical analysis and special business. It introduces the design and implementation methods for the system based on the. NET frame, and 3-layer system architecture of database system, application server and browser, which realizes the effective management and fast accurate retrieval of distributed in- ventory information.%为有效帮助企业降低库存成本,增加收益,加强库存管理和控制,根据现代企业分布式库存管理的特点和要求,提出了基于Intranet体系结构的分布式库存管理系统。分析并设计了具有出入库管理、库存统计分析及特殊业务等功能的分布式库存管理系统的功能模型。介绍了基于.NET框架且具有数据库系统、应用服务器和浏览器3层体系结构的系统设计与实现方法,实现了分布式库存信息的有效管理及快速准确检索。

  16. Installing, maintaining, and using a local copy of BLAST for intranet and workstation use.

    Science.gov (United States)

    Littlejohn, Timothy G

    2004-05-01

    The Basic Local Alignment Search Tool (BLAST) is one of the widest used and most useful applications in sequence-based bioinformatics analysis. Frequently it is not practical or possible to use remote BLAST services through the Internet due to restrictions of a security or technical nature or the need for high-throughput analysis requiring greater amounts of processing power than are available from remote services. This unit describes the steps involved in obtaining and installing a copy of the BLAST software for use on a local intranet or stand-alone workstation. Once installed, the BLAST package can be used to create BLAST-searchable nucleotide and protein sequence databanks. Various popular hardware (PPC, Intel) and operating system (MacOSX, FreeBSD and Linux) options for running and maintaining the software are discussed. Finally, steps for indexing proprietary and third party (publicly available) sequence databanks for use with BLAST and managing these resources are discussed. PMID:18428721

  17. La intranet en organizaciones colombianas

    Directory of Open Access Journals (Sweden)

    Sergio Llano Aristizábal

    2006-01-01

    Full Text Available En este artículo se presentan y analizan los resultados de una investigación realizada entre 95 empresas colombianas sobre algunas generalidades de las intranet como medio de comunicación interna. Estas empresas fueron tomadas de las posiciones más destacadas entre varios escalafones de organizaciones del país, las cuales evidencian la alta penetración de este medio y diferentes características del papel que las áreas de comunicación han jugado en su desarrollo.

  18. The reorganization of content curation on the intranet of the company

    OpenAIRE

    Vidmar, Boštjan

    2016-01-01

    An intranet is a network with a similar architecture to the internet, but designed for closed environments, within companies. The Intranet of the company, about which the BSc thesis has been written, represents a corporative web-based portal that constitutes a single point of access to all resources the employees need for their work. It enables publishing various types of contents like news, introduction of employees, dealing with documents, supports running and implementing office business p...

  19. Communicating via Internet and Intranet

    International Nuclear Information System (INIS)

    Full text: Not so long ago, the simple existence of a company's web site could be seen as a way on its own to promote an image of modernism and openness. Today, the use of internet has become so commonplace and the number of sites related to any given industry so huge that companies must build a specific internet communication strategy should they want to ensure a minimum of efficiency to their 'cyber communication'. This is especially true for the nuclear industry: in its case, the challenge is to provide relevant and dated up information to a broad and demanding audience when at the same time responding to attacks from opponents who master 'cyber-activism' with a great deal of skill. Starting from this background, the proposed contribution will address the following topics: - Maintaining visibility among some 1,000 web sites registered under the name 'nuclear'; - Communicating in real time through internet (and intranet internally); Ensuring synergy between internet and other communication tools. (author)

  20. Intranet portal at the Krsko NPP, Slovenia

    International Nuclear Information System (INIS)

    The intranet portal (named IntraNEK) at Krsko NPP serves as a single entry point to access the internet and various plant applications and links. The front page consists of the standard internet search bar and links to various applications that can either reside within the technological computer network (TRM) or within the plant business computer network. Access to the TRM applications is read only. Some applications on the business computer network are open to all personnel who log on to the network while some applications are restricted and secured, and require additional login entries. A selected link will open in a new window. Documents will open with the appropriate software tool depending on the document file format. Some categories of documents are available in image form only (e.g. procedures, drawings etc.), while some are available in fully searchable PDF format (e.g. technical specifications, updated safety analysis reports (USARs) etc.). Plant departments (organizational units) have their own pages accessible from the front page. Their pages contain links to their own information resources or links to other resources and applications, tailored to the department needs. During recent years a number of web based applications have been developed that are connected also with a common Oracle database. Some are designed to serve for data entry and browsing while others serve for browsing only

  1. Intranet usage and potential in acute care hospitals in the United States: survey-2000.

    Science.gov (United States)

    Hatcher, M

    2001-12-01

    This paper provides the results of the Survey-2000 measuring Intranet and its potential in health care. The survey measured the levels of Internet and Intranet existence and usage in acute care hospitals. Business-to-business electronic commerce and electronic commerce for customers were measured. Since the Intranet was not studied in survey-1997, no comparisons could be made. Therefore the results were presented and discussed. The Intranet data were compared with the Internet data and statistically significant differences were presented and analyzed. This information will assist hospitals to plan Internet and Intranet technology. This is the third of three articles based upon the results of the Survey-2000. Readers are referred to prior articles by the author, which discusses the survey design and provides a tutorial on technology transfer in acute care hospitals.(1) The first article based upon the survey results discusses technology transfer, system design approaches, user involvement, and decision-making purposes. (2) The second article based upon the survey results discusses distribution of Internet usage and rating of Internet usage applied to specific applications. Homepages, advertising, and electronic commerce are discussed from an Internet perspective. PMID:11708394

  2. Turbines : remote condition based monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Graves, S. [Azima Inc., Woburn, MA (United States)

    2005-07-01

    One of the most expensive and critical pieces of equipment at a electric power plant is the turbine which operates at high pressure and high speeds. Even a small misalignment of the shaft, bearing wear or other breakdowns can lead to damage to the turbine and other nearby equipment, extensive downtime for repair and purchase of replacement power. In order to address these risks, all turbines have built-in protection systems that monitor peak to peak displacement of the shaft through proximity probes. When the peak to peak motion exceeds a predetermined value, the protection device sends a signal to shutdown the turbine. An impending failure generally develops over time from a degrading component that creates abnormal movement in the system resulting in vibration, shaft orbit, or direct current gap voltage. Although the protection device provides information on the general vibration trend of the turbine, this has limited value. Information on other key parameters besides vibration trend are needed to monitor the health of a turbine. This includes information on spectrum displacement as a function of frequency at a specific point in time; time wave or amount of motion and symmetry of a wave shape; orbits or cross sectional views of shaft movement; and, DC gap voltage that is the distance between the shaft and the proximity probes. Daily monitoring of these parameters can warn of impending failure and provide information regarding the cause and expected time of failure. The information can be used for faster problem resolution and time to restart the turbine. Azima has developed a remote condition based monitoring system to collect and trend these parameters on a daily basis. The Azima system gathers analog data from the proximity probes mounted on the turbine at a sensor hub which digitizes the data and then sends it wirelessly via internet to a hosted server. The data can be accessed anytime through a standard web browser, allowing for daily remote monitoring of

  3. Design and Implementation of an Intranet Dashboard

    OpenAIRE

    Wolpin, SE

    2005-01-01

    Healthcare organizations are complex systems and well served by efficient feedback mechanisms. Many organizations have invested in data warehouses; however there are few tools for automatically extracting and delivering relevant measures to decision makers. This research study resulted in the design and implementation of an intranet dashboard linked to a data warehouse

  4. 基于Lotus Domino的Intranet构建技术%The techology of building intranet with lotus domino

    Institute of Scientific and Technical Information of China (English)

    金飚; 陈传波

    2001-01-01

    通过一个具体的实例,讨论了Lotus Domino的特点,并给出了基于Lotus Domino的Intranet构建方法及关键技术,为企业的Intranet建设提供了参考和借鉴.%The specialities of Lotus Domino and the method of building Intranet based on Lotus Domino by an instance were discussed in this paper, These experiences are very useful for the building of Intranet.

  5. Laser Remote Sensing: Velocimetry Based Techniques

    Science.gov (United States)

    Molebny, Vasyl; Steinvall, Ove

    Laser-based velocity measurement is an area of the field of remote sensing where the coherent properties of laser radiation are the most exposed. Much of the published literature deals with the theory and techniques of remote sensing. We restrict our discussion to current trends in this area, gathered from recent conferences and professional journals. Remote wind sensing and vibrometry are promising in their new scientific, industrial, military, and biomedical applications, including improving flight safety, precise weapon correction, non-contact mine detection, optimization of wind farm operation, object identification based on its vibration signature, fluid flow studies, and vibrometry-associated diagnosis.

  6. 基于Web的远程机器人控制系统的研究%RESEARCH ON REMOTE ROBOT CONTROL SYSTEM BASED ON WEB

    Institute of Scientific and Technical Information of China (English)

    陆璐; 施伯乐

    2001-01-01

    Using network three model structure, this paper presented a new remote monitor robot control system method based on WWW technology, and which could be applied to actual control system, by the research work we have done some instructive exploration for remote monitor based on Internet/Intranet system.%本文采用网络三层模型结构,提出了一种基于WWW的远程监控机器人系统的方案,并在实际系统中进行了应用,为基于Internet/Intranet系统进行远程监控进行了有益的探索.

  7. Intranet Development and Design that Works

    International Nuclear Information System (INIS)

    Making information available and easy to find is the objective of designing a good web site. A company's Intranet typically provides a great deal of information to its employees in an effort to help them better perform their jobs. If the information is available but is difficult to locate, the usefulness of this information is diminished. Sandia National Laboratories performed a redesign of its home page and has obtained a successful design which enables its employees to locate information quickly and efficiently. Three phases of usability testing were conducted to develop and optimize the home page. This paper will discuss the redesign of the Intranet home page and describe how usability studies were used to help ensure a usable design

  8. Liferay 6.x portal enterprise intranets cookbook

    CERN Document Server

    Filipowicz, Piotr

    2015-01-01

    If you are a Java developer or administrator with a technical background and want to install and configure Liferay Portal as an enterprise intranet, this is the book for you. In short, reusable recipes help you realize business goals as working features in Liferay. This book will also give you useful hints on how to easily improve the default functionality of the system and its performance.

  9. A radiology department intranet: development and applications.

    Science.gov (United States)

    Willing, S J; Berland, L L

    1999-01-01

    An intranet is a "private Internet" that uses the protocols of the World Wide Web to share information resources within a company or with the company's business partners and clients. The hardware requirements for an intranet begin with a dedicated Web server permanently connected to the departmental network. The heart of a Web server is the hypertext transfer protocol (HTTP) service, which receives a page request from a client's browser and transmits the page back to the client. Although knowledge of hypertext markup language (HTML) is not essential for authoring a Web page, a working familiarity with HTML is useful, as is knowledge of programming and database management. Security can be ensured by using scripts to write information in hidden fields or by means of "cookies." Interfacing databases and database management systems with the Web server and conforming the user interface to HTML syntax can be achieved by means of the common gateway interface (CGI), Active Server Pages (ASP), or other methods. An intranet in a radiology department could include the following types of content: on-call schedules, work schedules and a calendar, a personnel directory, resident resources, memorandums and discussion groups, software for a radiology information system, and databases. PMID:9925398

  10. 基于Intranet的分布式库存管理及库存优化研究%Study about Distributed Inventory Management and Inventory Optimization Based on the Intranet

    Institute of Scientific and Technical Information of China (English)

    夏立玲

    2013-01-01

    In order to effectively help enterprises to reduce inventory costs, increase revenue, strengthen inventory management and control, according to the characteristic and requirement of distributed inventory management in modern enterprise, we put forward the distributed inventory management system based on the Intranet architecture. The inventory optimization mathematical model was analyzed and designed in this article. We can real—time grasp the information data of distributed warehouse through the network transmissioa It provides a more efficient, reliable management method for the warehouse coordination center.%为有效帮助企业降低库存成本,增加收益,加强库存管理和控制,根据现代企业分布式库存管理的特点和要求,提出了基于Intranet体系结构的分布式库存管理系统.分析并设计了库存优化数学模型,通过网络传输实时掌握各分布式仓库的信息数据,为仓库协调中心提供更快捷、可靠的管理.

  11. Intranet 2.0 from a Project Management Perspective

    Science.gov (United States)

    Sharpe, Paul A.; Vacek, Rachel E.

    2010-01-01

    Library intranets require flexibility and efficiency and enhance the internal communication and collaborative nature of creating and organizing the institution's information. At the University of Houston Libraries, the focus was on public services, so little attention was given to the intranet--the tool every department relied on for quick access…

  12. Design Scheme of Remote Monitoring System Based on Qt

    Directory of Open Access Journals (Sweden)

    Xu Dawei

    2015-01-01

    Full Text Available This paper introduces a design scheme of remote monitoring system based on Qt, the scheme of remote monitoring system based on S3C2410 and Qt, with the aid of cross platform development tools Qt and powerful ARM platform design and implementation. The development of remote video surveillance system based on embedded terminal has practical significance and value.

  13. Documentation for Spectrum Intranet: Discussion of the Writing Process

    OpenAIRE

    Jónas Örn Ólafsson 1977

    2010-01-01

    This thesis covers the writing of user documentation for a company intranet. The documentation in question is of two kinds; on the one hand, guidance level documentation or a user manual containing procedures, and, on the other, teaching level documentation or tutorials. The user manual describes the steps involved in using individual intranet features, whereas the tutorials lead users through tasks that reflect real-world situations. The coverage in the thesis consists of a general discus...

  14. A QoS Management and Control Architecture for Intranet

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    With the appearance of application, such as VoIP and VOD, traditional best-effort service of network cant meet the needs of these applications. This paper proposes a QoS management and control architecture for Intranet, through which guaranteed services of network can be implemented in Intranet. In this architecture, there is a QoS control server, which is responsible for QoS control and management,while the router forwards packets according to the command from it.

  15. The NHS Lanarkshire Intranet site (FirstPort) and its effectiveness as a knowledge management tool.

    Science.gov (United States)

    Herbert, Paul

    2013-03-01

    The use of intranets as knowledge management tools in the NHS has been applied with varying success. This study set out to evaluate the effectiveness of the NHS Lanarkshire intranet site FirstPort as a knowledge management tool and to capture opinions on what would be required of a new FirstPort 2 site to be launched in the summer of 2012. The research was conducted in June 2011 by Paul Herbert as part of MSc in Health Informatics at the University of Sheffield, supervised by Nigel Ford. At the time of the study, Paul was working at NHS Lanarkshire and he was able to give his employers a useful set of recommendations. He moved to his present post with Healthcare Improvement Scotland in June 2012. This article is the first in the Dissertations into Practice series to investigate web-based tools for information and communication inside the NHS, but there are more in the pipeline. AM. PMID:23413795

  16. The NHS Lanarkshire Intranet site (FirstPort) and its effectiveness as a knowledge management tool.

    Science.gov (United States)

    Herbert, Paul

    2013-03-01

    The use of intranets as knowledge management tools in the NHS has been applied with varying success. This study set out to evaluate the effectiveness of the NHS Lanarkshire intranet site FirstPort as a knowledge management tool and to capture opinions on what would be required of a new FirstPort 2 site to be launched in the summer of 2012. The research was conducted in June 2011 by Paul Herbert as part of MSc in Health Informatics at the University of Sheffield, supervised by Nigel Ford. At the time of the study, Paul was working at NHS Lanarkshire and he was able to give his employers a useful set of recommendations. He moved to his present post with Healthcare Improvement Scotland in June 2012. This article is the first in the Dissertations into Practice series to investigate web-based tools for information and communication inside the NHS, but there are more in the pipeline. AM.

  17. Web based remote instrumentation and control

    International Nuclear Information System (INIS)

    The Web-based technology provides a very powerful communication medium for transmitting effectively multimedia information containing data generated from various sources, which may be in the form of audio, video, text, still or moving images etc. Large number of sophisticated web based software tools are available that can be used to monitor and control distributed electronic instrumentation projects. For example data can be collected online from various smart sensors/instruments such as images from CCD camera, pressure/ humidity sensor, light intensity transducer, smoke detectors etc and uploaded in real time to a central web server. This information can be processed further, to take control action in real time from any remote client, of course with due security care. The web-based technology offers greater flexibility, higher functionality, and high degree of integration providing standardization. Further easy to use standard browser based interface at the client end to monitor, view and control the desired process parameters allow you to cut down the development time and cost to a great extent. A system based on a web client-server approach has been designed and developed at Computer division, BARC and is operational since last year to monitor and control remotely various environmental parameters of distributed computer centers. In this paper we shall discuss details of this system, its current status and additional features which are currently under development. This type of system is typically very useful for Meteorology, Environmental monitoring of Nuclear stations, Radio active labs, Nuclear waste immobilization plants, Medical and Biological research labs., Security surveillance and in many such distributed situations. A brief description of various tools used for this project such as Java, CGI, Java Script, HTML, VBScript, M-JPEG, TCP/IP, UDP, RTP etc. along with their merits/demerits have also been included

  18. Magnetism-Based Remote Query Glucose Sensors

    Directory of Open Access Journals (Sweden)

    C. A. Grimes

    2001-10-01

    Full Text Available Two wireless, passive remote query magnetism-based glucose sensors, which operate in combination with a mass and volume changing glucose responsive polymer, are presented. One sensor design is based upon the magnetostatic coupling of magnetically soft thin-film elements; as the polymer volume changes in response to glucose concentration so does the magnetostatic coupling between elements. In response to a time varying magnetic field, upon reversal of the magnetization vector of the elements the magnetostatic coupling determines the time rate of change of magnetic flux, and hence the amplitude of the voltage spike generated in a pick-up coil. The other sensor consists of a free-standing magnetoelastic thick-film, coated with a thin layer of the glucose responsive polymer. In response to a time varying magnetic field the sensor mechanically vibrates at a characteristic resonant frequency; the characteristic resonant frequency of the sensor linearly tracks the change in mass of the glucose responsive polymer.

  19. Cognition for robot scanner based remote welding

    Science.gov (United States)

    Thombansen, U.; Ungers, Michael

    2014-02-01

    The effort for reduced cycle times in manufacturing has supported the development of remote welding systems which use a combination of scanners for beam delivery and robots for scanner positioning. Herein, close coupling of both motions requires a precise command of the robot trajectory and the scanner positioning to end up with a combined beam delivery. Especially the path precision of the robot plays a vital role in this kinematic chain. In this paper, a sensor system is being presented which allows tracking the motion of the laser beam against the work piece. It is based on a camera system which is coaxially connected to the scanner thus observing the relative motion of the laser beam relative to the work piece. The acquired images are processed with computer vision algorithms from the field of motion detection. The suitability of the algorithms is being demonstrated with a motion tracking tool which visualizes the homogeneity of the tracking result. The reported solution adds cognitive capabilities to manufacturing systems for robot scanner based materials processing. It allows evaluation of the relative motion between work piece and the laser beam. Moreover, the system can be used to adapt system programming during set-up of a manufacturing task or to evaluate the functionality of a manufacturing system during production. The presented sensor system will assist in optimizing manufacturing processes.

  20. A Web-Based Remote Access Laboratory Using SCADA

    Science.gov (United States)

    Aydogmus, Z.; Aydogmus, O.

    2009-01-01

    The Internet provides an opportunity for students to access laboratories from outside the campus. This paper presents a Web-based remote access real-time laboratory using SCADA (supervisory control and data acquisition) control. The control of an induction motor is used as an example to demonstrate the effectiveness of this remote laboratory,…

  1. The effects of a shared, Intranet science learning environment on the academic behaviors of problem-solving and metacognitive reflection

    Science.gov (United States)

    Parker, Mary Jo

    This study investigated the effects of a shared, Intranet science environment on the academic behaviors of problem-solving and metacognitive reflection. Seventy-eight subjects included 9th and 10th grade male and female biology students. A quasi-experimental design with pre- and post-test data collection and randomization occurring through assignment of biology classes to traditional or shared, Intranet learning groups was employed. Pilot, web-based distance education software (CourseInfo) created the Intranet learning environment. A modified ecology curriculum provided contextualization and content for traditional and shared learning environments. The effect of this environment on problem-solving, was measured using the standardized Watson-Glaser Critical Thinking Appraisal test. Metacognitive reflection, was measured in three ways: (a) number of concepts used, (b) number of concept links noted, and (c) number of concept nodes noted. Visual learning software, Inspiration, generated concept maps. Secondary research questions evaluated the pilot CourseInfo software for (a) tracked user movement, (b) discussion forum findings, and (c) difficulties experienced using CourseInfo software. Analysis of problem-solving group means reached no levels of significance resulting from the shared, Intranet environment. Paired t-Test of individual differences in problem-solving reached levels of significance. Analysis of metacognitive reflection by number of concepts reached levels of significance. Metacognitive reflection by number of concept links noted also reach significance. No significance was found for metacognitive reflection by number of concept nodes. No gender differences in problem-solving ability and metacognitive reflection emerged. Lack of gender differences in the shared, Intranet environment strongly suggests an equalizing effect due to the cooperative, collaborative nature of Intranet environments. Such environments appeal to, and rank high with, the female

  2. A Web-Based Airborne Remote Sensing Telemetry Server Project

    Data.gov (United States)

    National Aeronautics and Space Administration — A Web-based Airborne Remote Sensing Telemetry Server (WARSTS) is proposed to integrate UAV telemetry and web-technology into an innovative communication, command,...

  3. Remote Laboratory Java Server Based on JACOB Project

    Directory of Open Access Journals (Sweden)

    Pavol Bisták

    2011-02-01

    Full Text Available Remote laboratories play an important role in the educational process of engineers. This paper deals with the structure of remote laboratories. The principle of the proposed remote laboratory structure is based on the Java server application that communicates with Matlab through the COM technology for the data exchange under the Windows operating system. Java does not support COM directly so the results of the JACOB project are used and modified to cope with this problem. In laboratories for control engineering education a control algorithm usually runs on a PC with Matlab that really controls the real plant. This is the server side described in the paper in details. To demonstrate the possibilities of a remote control a Java client server application is also introduced. It covers communication and offers a user friendly interface for the control of a remote plant and visualization of measured data.

  4. Web-based Remote Control by LiveConnect

    Directory of Open Access Journals (Sweden)

    Reinhard Langmann

    2005-06-01

    Full Text Available This paper deals with the application of LiveConnect for the remote control of real devices/stations over the Web. In this context, both the concept of Lean Web Automation and a flexible Java-based application tool have been developed ensuring a fast and secure process data transfer between device-server and Web browser by the subscriber/publisher principle. Index Term: Web-based remote control, Lean Web Automation, teletechnology, Web Access Kit.

  5. ARM Processor Based Embedded System for Remote Data Acquisition

    Directory of Open Access Journals (Sweden)

    Raj Kumar Tiwari

    2014-01-01

    Full Text Available The embedded systems are widely used for the data acquisition. The data acquired may be used for monitoring various activity of the system or it can be used to control the parts of the system. Accessing various signals with remote location has greater advantage for multisite operation or unmanned systems. The remote data acquisition used in this paper is based on ARM processor. The Cortex M3 processor used in this system has in-built Ethernet controller which facilitate to acquire the remote data using internet. The system developed provides high performance, low power consumption, smaller size {&} high speed

  6. Increasing Effectiveness of IDS to Improve Security in Intranet

    Directory of Open Access Journals (Sweden)

    Umesh K. Singh

    2005-01-01

    Full Text Available Today Intrusion Detection Systems (IDS are becoming one of the most important tools for intranet security. Research regarding Intrusion Detection Systems (IDSs has become more active with the recent increases in illegal accesses to computer systems. Many researchers focus only on the techniques or mechanisms for detecting intrusions automatically, without considering the security of IDSs themselves. When an intruder attacks and breaks into a system, he or she often deletes system logs and stops auditing processes. Thus, the security of an intrusion detection system is an important aspect of intrusion detection. This study explores the methods for increasing effectiveness in configurations of an IDS for obtaining maximum effects in security in an intranet. We also discuss the hurdles that have blocked successful measurements in this area and present suggestions for improving effectiveness of an IDS.

  7. De rol van Intranet bij communicatie en veranderingsbereidheid in organisatieveranderingsprocessen

    OpenAIRE

    Koppel, C.A. van der

    2003-01-01

    Organisational change seems nowadays very common with all sorts of different organisations undergoing some kind of change. The main objective in this research is to gain insight in the usability of the Intranet as a means for communication in organisational change processes. For this purpose literature was studied and a survey was held within Leerdammer Company, an international cheese making company. The kind of strategy that is used to change organisations depends on it's goal and chan...

  8. A Novel Approach For Protecting Exposed Intranet From Intrusions

    Directory of Open Access Journals (Sweden)

    K.B.Chandradeep

    2010-07-01

    Full Text Available This paper proposes a novel approach for protecting groups of computers in an intranet from maliciousattacks. The proposed scheme uses a distributed intrusion detection system as the primary source ofsecurity mechanism along with micro-firewalls at the host level to enable dynamic policy update for theintranet as and when the threat pattern changes. The authentication mechanism used for authenticatingthe hosts along with the communication mechanism used for communicating the policy update to thehosts is presented.

  9. 基于USG的企业分支机构VPN接入技术设计与实现%Design and Implementation of Intranet VPN Access Technology Based on USG

    Institute of Scientific and Technical Information of China (English)

    徐书良; 莫永华

    2011-01-01

    With the business globalization, the management of modem enterprise group is also tended to information-based, information and network security is very important, the security need of business enterprise branch remote access to the enterprise information resources is getting more urgent. Analyzes a VPN technology and proposes a VPN solution according to the characteristics of business enterprise branch, and carries out a security correspondence based on the USG hardware platform.%随着企业发展的全球化,现代企业的管理也趋于信息化,信息和网络的安全显得尤为重要,企业分支机构远程访问企业信息资源的安全性需求更加迫切。通过分析VPN技术,根据企业分支机构的特点提出VPN解决方案.并基于USG硬件平台实现安全访问。

  10. Development and Application of Intranet%企业内部网(Intranet)的开发与应用

    Institute of Scientific and Technical Information of China (English)

    钟洁

    2001-01-01

    This paper states the details of the development and application of Intranet in our institute. The Internet technology is mainly used to information releasing on quality management, Internet access agency service and the transmission and receiving of e-mail. This paper states the platform for hardware and software, as well as its effect and meaning on a long-term basis%阐述了广西电力工业勘察设计研究院企业内部网(Intranet)的开发与应用的具体情况,采用Internet技术进行质量管理信息发布、Internet访问代理服务、电子邮件的收发等主要特点,说明了所采用的硬软件平台、取得的成效及其长远意义

  11. Forbush Decrease Prediction Based on the Remote Solar Observations

    CERN Document Server

    Dumbovic, Mateja; Calogovic, Jasa

    2015-01-01

    We employ remote observations of coronal mass ejections (CMEs) and the associated solar flares to forecast the CME-related Forbush decreases, i.e., short-term depressions in the galactic cosmic-ray flux. The relationship between the Forbush effect at the Earth and remote observations of CMEs and associated solar flares is studied via a statistical analysis. Relationships between Forbush decrease magnitude and several CME/flare parameters was found, namely the initial CME speed, apparent width, source position, associated solar-flare class and the effect of successive-CME occurrence. Based on the statistical analysis, remote solar observations are employed for a Forbush-decrease forecast. For that purpose, an empirical probabilistic model is constructed that uses selected remote solar observations of CME and associated solar flare as an input, and gives expected Forbush-decrease magnitude range as an output. The forecast method is evaluated using several verification measures, indicating that as the forecast t...

  12. Web Based System Architecture for Long Pulse Remote Experimentation

    International Nuclear Information System (INIS)

    Remote experimentation methods will be essential in next generation fusion devices. Requirements for long pulse operation will be the real-time visualization of data, the real-time monitoring of data acquisition processes and the real-time interaction with data acquisition systems (start, stop or set-up modifications). INDRA Sistemas S.A., CIEMAT and UPM (polytechnic university of Madrid) have designed a specific software architecture for these purposes. The architecture is based on the BeansNet platform, whose integration with an application server provides a proper solution to the requirements. BeansNet is a JINI based framework developed by INDRA, which makes easy the implementation of a remote participation model based on a Service Oriented Architecture. BeansNet and its interaction with the Messaging Services provides the users with the information acquired by real time acquisition systems, with no further delay than the derived from the information transmission over the network, depending on its bandwidth. The new software architecture has been designed based on the existing experience with the TJ-II remote experimentation system. In that case, different aspects of remote participation in experiments from distributed environments were addressed, as remote configuration of data acquisition systems or user authentication. The new design allows the required real-time interactions within a secure environment and with an easy system administration. (authors)

  13. A Dynamic ID-based Remote User Authentication Scheme

    CERN Document Server

    Das, Manik Lal; Gulati, Ved P

    2004-01-01

    Password-based authentication schemes are the most widely used techniques for remote user authentication. Many static ID-based remote user authentication schemes both with and without smart cards have been proposed. Most of the schemes do not allow the users to choose and change their passwords, and maintain a verifier table to verify the validity of the user login. In this paper we present a dynamic ID-based remote user authentication scheme using smart cards. Our scheme allows the users to choose and change their passwords freely, and do not maintain any verifier table. The scheme is secure against ID-theft, and can resist the reply attacks, forgery attacks, guessing attacks, insider attacks and stolen verifier attacks.

  14. Konzeption und Realisierung einer Intranet-Lösung mit TYPO3 und Neustrukturierung bestehender Prozesse am Beispiel der CENIT AG

    OpenAIRE

    Reis, Susana dos

    2010-01-01

    Das Medium Intranet ist eines der wichtigsten Instrumente, die ein Unternehmen zur Verbesserung seiner Produktivität und Leistungsfähigkeit nutzen kann. Auf den Technologien des Internet aufbauend, schließt ein Intranet alle Angestellten in einem Unternehmen lokal ein. Heute gehört ein Intranet zu den grundlegenden Bestandteilen und liefert eine einfache und schnelle Möglichkeit, Informationen in einem geschlossenen System zu verteilen. Basis dieser Arbeit bildet ein bestehendes Intranet und ...

  15. An Unexpected Ally: Using Microsoft's SharePoint to Create a Departmental Intranet

    Science.gov (United States)

    Dahl, David

    2010-01-01

    In September 2008, the Albert S. Cook Library at Towson University implemented an intranet to support the various functions of the library's Reference Department. This intranet is called the RefPortal. After exploring open source options and other Web 2.0 tools, the department (under the guidance of the library technology coordinator) chose…

  16. The Effect of a Shared, Intranet Science Learning Environment on Academic Behaviors.

    Science.gov (United States)

    Parker, Mary Jo

    This study investigated the effectiveness of a shared, Intranet learning environment on problem-solving ability and reflective metacognition. Subjects were 78 9th and 10th grade biology students from three public high schools in Texas. Research focused on the following questions: (1) Will the use of a shared, Intranet environment improve learner…

  17. Who Moved My Intranet? The Human Side of Introducing Collaborative Technologies to Library Staff

    Science.gov (United States)

    Jeffery, Keven; Dworak, Ellie

    2010-01-01

    Intranets can be crucial tools in fostering communication within an academic library. This article describes the successful implementation of an intranet wiki at the San Diego State University Library & Information Access. The steps involved with implementing, marketing, and supporting the MediaWiki software are described, and the results of a…

  18. Remote Labs and Game-Based Learning for Process Control

    Science.gov (United States)

    Zualkernan, Imran A.; Husseini, Ghaleb A.; Loughlin, Kevin F.; Mohebzada, Jamshaid G.; El Gaml, Moataz

    2013-01-01

    Social networking platforms and computer games represent a natural informal learning environment for the current generation of learners in higher education. This paper explores the use of game-based learning in the context of an undergraduate chemical engineering remote laboratory. Specifically, students are allowed to manipulate chemical…

  19. A remote laboratory for USRP-based software defined radio

    Science.gov (United States)

    Gandhinagar Ekanthappa, Rudresh; Escobar, Rodrigo; Matevossian, Achot; Akopian, David

    2014-02-01

    Electrical and computer engineering graduates need practical working skills with real-world electronic devices, which are addressed to some extent by hands-on laboratories. Deployment capacity of hands-on laboratories is typically constrained due to insufficient equipment availability, facility shortages, and lack of human resources for in-class support and maintenance. At the same time, at many sites, existing experimental systems are usually underutilized due to class scheduling bottlenecks. Nowadays, online education gains popularity and remote laboratories have been suggested to broaden access to experimentation resources. Remote laboratories resolve many problems as various costs can be shared, and student access to instrumentation is facilitated in terms of access time and locations. Labs are converted to homeworks that can be done without physical presence in laboratories. Even though they are not providing full sense of hands-on experimentation, remote labs are a viable alternatives for underserved educational sites. This paper studies remote modality of USRP-based radio-communication labs offered by National Instruments (NI). The labs are offered to graduate and undergraduate students and tentative assessments support feasibility of remote deployments.

  20. Remote Sensing Image Deblurring Based on Grid Computation

    Institute of Scientific and Technical Information of China (English)

    LI Sheng-yang; ZHU Chong-guang; GE Ping-ju

    2006-01-01

    In general, there is a demand for real-time processing of mass quantity remote sensing images. However, the task is not only data-intensive but also computating-intensive. Distributed processing is a hot topic in remote sensing processing and image deblurring is also one of the most important needs. In order to satisfy the demand for quick processing and deblurring of mass quantity satellite images, we developed a distributed, grid computation-based platform as well as a corresponding middleware for grid computation. Both a constrained power spectrum equalization algorithm and effective block processing measures, which can avoid boundary effect, were applied during the processing. The result is satisfactory since computation efficiency and visual effect were greatly improved. It can be concluded that the technology of spatial information grids is effective for mass quantity remote sensing image processing.

  1. Implementation of Wi-Ap; An IEEE 802.11b/g Based Electrical Switch Module With Web Enabled Interface for Electrical Appliances Control

    Directory of Open Access Journals (Sweden)

    E. Adetiba

    2011-12-01

    Full Text Available The aim of this research study is to design and implement a Wi-Fi-based control panel for remote control of lights and electrical appliances with a web functionality that allows for wide area control via the intranet or Internet. This eliminates the inconvenience of moving from one switch to another for analog operation of light fixtures and appliance in home, office and campus environment. The wireless technology we adopted is IEEE 802.11 (2008 b/g, also called Wi-Fi (Wireless Fidelity which operates in free band and is easily accessible. Wi-Ap (Wi-Fi Automated Appliance control system contains a web portal which allows for management and control purposes via the intranet or Internet. We built a standalone Wi-Ap console that allows the wireless switching on and off of any appliance(s that is(are plugged into it. The prototype we built was tested within the Electrical and Information Engineering department, Covenant University, Nigeria intranet and the test achieved our aim of remote appliances control from a web portal vial the intranet.

  2. Remote sensing image fusion based on Bayesian linear estimation

    Institute of Scientific and Technical Information of China (English)

    GE ZhiRong; WANG Bin; ZHANG LiMing

    2007-01-01

    A new remote sensing image fusion method based on statistical parameter estimation is proposed in this paper. More specially, Bayesian linear estimation (BLE) is applied to observation models between remote sensing images with different spatial and spectral resolutions. The proposed method only estimates the mean vector and covariance matrix of the high-resolution multispectral (MS) images, instead of assuming the joint distribution between the panchromatic (PAN) image and low-resolution multispectral image. Furthermore, the proposed method can enhance the spatial resolution of several principal components of MS images, while the traditional Principal Component Analysis (PCA) method is limited to enhance only the first principal component. Experimental results with real MS images and PAN image of Landsat ETM+ demonstrate that the proposed method performs better than traditional methods based on statistical parameter estimation,PCA-based method and wavelet-based method.

  3. Study of Internet-based Open Remote Diagnostic System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    With the wide application of information technologi es , Internet-based remote diagnosis (IRD) of plant will surely become the main se rvice mode of corporations in the future. Therefore, it has received a great dea l recognition from academia and the industry. The IRD technology, which is based upon database, computer, and network technologies is the focus of correlative r esearch all over the world. Although some scientific institutions have developed primary IRD systems, their functions are quite narro...

  4. Forbush Decrease Prediction Based on Remote Solar Observations

    Science.gov (United States)

    Dumbović, M.; Vršnak, B.; Čalogović, J.

    2016-01-01

    We employ remote observations of coronal mass ejections (CMEs) and the associated solar flares to forecast the CME-related Forbush decreases, i.e. short-term depressions in the galactic cosmic-ray flux. The relation between the Forbush effect at Earth and remote observations of CMEs and associated solar flares is studied via a statistical analysis. Relations between Forbush decrease magnitude and several CME/flare parameters were found: the initial CME speed, apparent width, source position, associated solar-flare class, and the effect of successive-CME occurrence. Based on the statistical analysis, remote solar observations are employed to forecast a Forbush-decrease. For this purpose, an empirical probabilistic model is constructed that uses selected remote solar observations of the CME and associated solar flare as input and gives the expected Forbush-decrease magnitude range as output. The forecast method is evaluated using several verification measures, indicating that as the forecast tends to be more specific, it is less reliable, which is its main drawback. However, the advantages of the method are that it provides an early prediction and that the input does not necessarily depend on using a spacecraft.

  5. Wireless Remote Weather Monitoring System Based on MEMS Technologies

    OpenAIRE

    Rong-Hua Ma; Yu-Hsiang Wang; Chia-Yen Lee

    2011-01-01

    This study proposes a wireless remote weather monitoring system based on Micro-Electro-Mechanical Systems (MEMS) and wireless sensor network (WSN) technologies comprising sensors for the measurement of temperature, humidity, pressure, wind speed and direction, integrated on a single chip. The sensing signals are transmitted between the Octopus II-A sensor nodes using WSN technology, following amplification and analog/digital conversion (ADC). Experimental results show that the resistance of t...

  6. Content-based retrieval of remote sensed images using a feature-based approach

    Science.gov (United States)

    Vellaikal, Asha; Dao, Son; Kuo, C.-C. Jay

    1995-01-01

    A feature-based representation model for content-based retrieval from a remote sensed image database is described in this work. The representation is formed by clustering spatially local pixels, and the cluster features are used to process several types of queries which are expected to occur frequently in the context of remote sensed image retrieval. Preliminary experimental results show that the feature-based representation provides a very promising tool for content-based access.

  7. Diseño y desarrollo de una Intranet corporativa con SharePoint

    OpenAIRE

    Gervilla Diaz, Ruben

    2015-01-01

    [CASTELLÀ] Elaboración de una Intranet corporativa Enterprise 2.0 en la empresa Marmedsa Noatum Maritime. En esta memoria se define la elaboración de todos los pasos llevados a cabo a través de la metología PMI para el desarrollo de una Intranet corporativa utilizando la plataforma SharePoint 2010. [ANGLÈS] Development of a corporate Intranet Enterprise 2.0 in the company Marmedsa Noatum Maritime. This thesis explain the development of all the steps taken by the PMI methodology for the dev...

  8. Web-Enabled Remote Laboratories

    Directory of Open Access Journals (Sweden)

    K. Ganesan

    2011-12-01

    Full Text Available This paper describes about accessing the real laboratories using web services.   Students doing the course on “Embedded systems” can perform the various experiments such as analyzing the frequency measurement, generation of pulse width modulation using Freescale-semiconductor’s kit and Digital Storage Oscilloscope (DSO by giving different input parameters from anywhere at anytime through Internet or Intranet using a webpage provided in a client browser and submit it to a lab server (LS, which is interfaced with Freescale-semiconductor’s kit and digital storage oscilloscope (DSO. The experimental specification is forwarded to the lab server through a service broker. Based on the experimental specifications given by the user, experiments can be conducted on the lab server side using real equipment interfaced with the LS. The application can be executed and the output generated on the DSO can be captured by the lab server machine and one can even convert the results into XML file and send those results to service broker. If user needs, the results can even be displayed on the remote client machine by the service broker. The present work uses iLab architecture which provides three tier client / broker / server architecture for the development and deployment of remote labs.

  9. Web-Enabled Remote Laboratories

    Directory of Open Access Journals (Sweden)

    K. Ganesan

    2011-12-01

    Full Text Available

    This paper describes about accessing the real laboratories using web services.   Students doing the course on “Embedded systems” can perform the various experiments such as analyzing the frequency measurement, generation of pulse width modulation using Freescale-semiconductor’s kit and Digital Storage Oscilloscope (DSO by giving different input parameters from anywhere at anytime through Internet or Intranet using a webpage provided in a client browser and submit it to a lab server (LS, which is interfaced with Freescale-semiconductor’s kit and digital storage oscilloscope (DSO.

    The experimental specification is forwarded to the lab server through a service broker. Based on the experimental specifications given by the user, experiments can be conducted on the lab server side using real equipment interfaced with the LS. The application can be executed and the output generated on the DSO can be captured by the lab server machine and one can even convert the results into XML file and send those results to service broker. If user needs, the results can even be displayed on the remote client machine by the service broker. The present work uses iLab architecture which provides three tier client / broker / server architecture for the development and deployment of remote labs.

  10. Secure Access to Private Services in Intranet for Mobile Clients

    Directory of Open Access Journals (Sweden)

    Li Kuang

    2013-02-01

    Full Text Available With wide adoption of Service Computing and Mobile Computing, people tend to invoke services with mobile devices, requiring accurate and real-time feedback from services at any time and any place. Among these services, some are private to limited users and require identity authorization before use; hence secure access control in wireless network should be provided. To address the challenge, in this study, we propose the architecture and protocols of a system of access to private services for mobile clients, which combines the technologies of trusted computing, Diffie-Hellman key agreement protocol, digital certificate, DES data encryption algorithm and twice verification. We further show the implementation of the proposed system, in which we have realized the authentication and authorization of mobile clients and then secure data transfer between mobile clients in the unsafe Internet and private services in the Intranet.

  11. Parallelized LEDAPS method for Remote Sensing Preprocessing Based on MPI

    Institute of Scientific and Technical Information of China (English)

    Xionghua; CHEN; Xu; ZHANG; Ying; GUO; Yong; MA; Yanchen; YANG

    2013-01-01

    Based on Landsat image,the Landsat Ecosystem Disturbance Adaptive Processing System(LEDAPS)uses radiation change detection method for image processing and offers the surface reflectivity products for ecosystem carbon sequestration and carbon reserves.As the accumulation of massive remote sensing data especially for the Landsat image,the traditional serial LEDAPS for image processing has a long cycle that make a lot of difficulties in practical application.For this problem,this paper design a high performance parallel LEDAPS processing method based on MPI.The results not only aimed to improve the calculation speed and save computing time,but also considered the load balance between the flexibly extended computing nodes.Results show that the highest speed ratio of parallelized LEDAPS reached 7.37 when the number of MPI process is 8.It effectively improves the ability of LEDAPS to handle massive remote sensing data and reduces the forest carbon stocks calculation cycle by using the remote sensing images.

  12. Web based system architecture for long pulse remote experimentation

    International Nuclear Information System (INIS)

    Remote experimentation (RE) methods will be essential in next generation fusion devices. Requirements for long pulse RE will be: on-line data visualization, on-line data acquisition processes monitoring and on-line data acquisition systems interactions (start, stop or set-up modifications). Note that these methods are not oriented to real-time control of fusion plant devices. INDRA Sistemas S.A., CIEMAT (Centro de Investigaciones Energeticas Medioambientales y Tecnologicas) and UPM (Universidad Politecnica de Madrid) have designed a specific software architecture for these purposes. The architecture can be supported on the BeansNet platform, whose integration with an application server provides an adequate solution to the requirements. BeansNet is a JINI based framework developed by INDRA, which makes easy the implementation of a remote experimentation model based on a Service Oriented Architecture. The new software architecture has been designed on the basis of the experience acquired in the development of an upgrade of the TJ-II remote experimentation system.

  13. Google glass-based remote control of a mobile robot

    Science.gov (United States)

    Yu, Song; Wen, Xi; Li, Wei; Chen, Genshe

    2016-05-01

    In this paper, we present an approach to remote control of a mobile robot via a Google Glass with the multi-function and compact size. This wearable device provides a new human-machine interface (HMI) to control a robot without need for a regular computer monitor because the Google Glass micro projector is able to display live videos around robot environments. In doing it, we first develop a protocol to establish WI-FI connection between Google Glass and a robot and then implement five types of robot behaviors: Moving Forward, Turning Left, Turning Right, Taking Pause, and Moving Backward, which are controlled by sliding and clicking the touchpad located on the right side of the temple. In order to demonstrate the effectiveness of the proposed Google Glass-based remote control system, we navigate a virtual Surveyor robot to pass a maze. Experimental results demonstrate that the proposed control system achieves the desired performance.

  14. A Behavior-Based Remote Trust Attestation Model

    Institute of Scientific and Technical Information of China (English)

    ZHANG Huanguo; WANG Fan

    2006-01-01

    While remote trust attestation is a useful concept to detect unauthorized changes to software, the current mechanism only ensures authenticity at the start of the operating system and cannot ensure the action of running software. Our approach is to use a behavior-based monitoring agent to make remote attestation more flexible, dynamic, and trustworthy. This approach was mostly made possible by extensive use of process information which is readily available in Unix. We also made use of a behavior tree to effectively record predictable behaviors of each process. In this paper, we primarily focus on building a prototype implementation of such framework, presenting one example built on it, successfully find potential security risks in the run time of a ftp program and then evaluate the performance of this model.

  15. Design of DSP-based Embedded Video Remote Monitoring System

    Institute of Scientific and Technical Information of China (English)

    CHEN Lei; WANG Jin-hai; DONG-le

    2009-01-01

    Presented is a scheme of an embedded video remote monitoring system based on TMS320DM642.Using DM642 as the data processing core,the remote monitoring system is composed of video acquisition module,video processing module and communication module,which gives an implementation of class/mini driver module in DSP/BIOS integrated developing environment and also a common task module in application layer is achieved.The system realizes the entire functions of the analog video signal acquisition,H.264 video coding and Internet transmission.It provides the general connection for the future development and has good flexibility and extendibility.The system uses a modular design and overall development of programming methods to improve the efficiency of system development.

  16. Web Based System Architecture for Long Pulse Remote Experimentation

    Energy Technology Data Exchange (ETDEWEB)

    De Las Heras, E.; Lastra, D. [INDRA Sistemas, S.A., Unidad de Sistemas de Control, Madrid (Spain); Vega, J.; Castro, R. [Association Euratom CIEMAT for Fusion, Madrid (Spain); Ruiz, M.; Barrera, E. [Universidad Politecnica de Madrid (Spain)

    2009-07-01

    INDRA is the first Information Technology company in Spain and it presents here, through a series of transparencies, its own approach for the remote experimentation architecture for long pulses (REAL). All the architecture is based on Java-2 platform standards and REAL is a totally open architecture. By itself REAL offers significant advantages: -) access authentication and authorization under multiple security implementations, -) local or remote network access: LAN, WAN, VPN..., -) on-line access to acquisition systems for monitoring and configuration, -) scalability, flexibility, robustness, platform independence,.... The BeansNet implementation of REAL gives additional good things such as: -) easy implementation, -) graphical tool for service composition and configuration, -) availability and hot-swap (no need of stopping or restarting services after update or remodeling, and -) INDRA support. The implementation of BeansNet at the TJ-2 stellarator at Ciemat is presented. This document is made of the presentation transparencies. (A.C.)

  17. Remote Sensing Image Feature Extracting Based Multiple Ant Colonies Cooperation

    Directory of Open Access Journals (Sweden)

    Zhang Zhi-long

    2014-02-01

    Full Text Available This paper presents a novel feature extraction method for remote sensing imagery based on the cooperation of multiple ant colonies. First, multiresolution expression of the input remote sensing imagery is created, and two different ant colonies are spread on different resolution images. The ant colony in the low-resolution image uses phase congruency as the inspiration information, whereas that in the high-resolution image uses gradient magnitude. The two ant colonies cooperate to detect features in the image by sharing the same pheromone matrix. Finally, the image features are extracted on the basis of the pheromone matrix threshold. Because a substantial amount of information in the input image is used as inspiration information of the ant colonies, the proposed method shows higher intelligence and acquires more complete and meaningful image features than those of other simple edge detectors.

  18. Intranet搜索引擎设计与实现%Design and Implementation of Intranet Search Engine

    Institute of Scientific and Technical Information of China (English)

    黄坤; 董晓明; 张剑

    2012-01-01

    随着企业内部网络应用的深入,Intranet内部的信息资源越来越庞大,怎样为这些数据信息构建索引是我们面临的主要任务,而全文检索的产生解决了这一问题.目前越来越多的中小企业采用Linux系统作为Web平台,并且利用检索系统来管理内部繁多的文本和HTML文件.文章对WWW搜索引擎的全文检索及其相关技术进行了分析和讨论,实现了一个基于Linux环境的Intranet搜索引擎LISE(Linux Intranet Search Engine).LISE利用了基于词表的索引方法,为用户提供了更加准确的信息,能满足多种中小企业用户的需求.%With the increasing depth of the network application within enterprise, the information resource in intranet become larger and larger. It is our main job that how to build index for masses of data. However, full-text retrieval is just for people to do this. Now more and more small or medium enterprise use Linux as its web platform, and they use retrieval system to manage their many documents and HTML files. This thesis analyze and discuss Full-text retrieval and its related technologies in WWW search engine in detail, and realize a search engine prototype-LISECLinux Intranet Search Engine), which based on Linux. LISE use indexing method based phrased list, it can provide more correct information for the users and meets the requirements in many kinds of enterprise users.

  19. Laser-based sensors for oil spill remote sensing

    Science.gov (United States)

    Brown, Carl E.; Fingas, Mervin F.; Mullin, Joseph V.

    1997-07-01

    Remote sensing is becoming an increasingly important tool for the effective direction of oil spill countermeasures. Cleanup personnel have recognized that remote sensing can increase spill cleanup efficiency. It has long been recognized that there is no one sensor which is capable of detecting oil and related petroleum products in all environments and spill scenarios. There are sensors which possess a wide field-of- view and can therefore be used to map the overall extent of the spill. These sensors, however lack the capability to positively identify oil and related products, especially along complicated beach and shoreline environments where several substrates are present. The laser-based sensors under development by the Emergencies Science Division of Environment Canada are designed to fill specific roles in oil spill response. The scanning laser environmental airborne fluorosensor (SLEAF) is being developed to detect and map oil and related petroleum products in complex marine and shoreline environments where other non-specific sensors experience difficulty. The role of the SLEAF would be to confirm or reject suspected oil contamination sites that have been targeted by the non-specific sensors. This confirmation will release response crews from the time-consuming task of physically inspecting each site, and direct crews to sites that require remediation. The laser ultrasonic remote sensing of oil thickness (LURSOT) sensor will provide an absolute measurement of oil thickness from an airborne platform. There are presently no sensors available, either airborne or in the laboratory which can provide an absolute measurement of oil thickness. This information is necessary for the effective direction of spill countermeasures such as dispersant application and in-situ burning. This paper describes the development of laser-based airborne oil spill remote sensing instrumentation at Environment Canada and identifies the anticipated benefits of the use of this technology

  20. The remote monitoring system of BESⅢ detector based on web

    International Nuclear Information System (INIS)

    It designed a remote monitoring system of BESⅢ experiment based on web. The software of the system is mainly based on module programming. The Ajax technology and the MVC pattern is used in system framework construction. The function of selecting multiple tables is realized by structural checkbox tree using jstree library. Data chart is plotted by High Charts library. The updating of data curve is realized by the method of calculating the time span between the real data record to measure the http request. The system design can be used by detector monitoring system like BESⅢ. (authors)

  1. First results of ground-based LWIR hyperspectral imaging remote gas detection

    Science.gov (United States)

    Zheng, Wei-jian; Lei, Zheng-gang; Yu, Chun-chao; Wang, Hai-yang; Fu, Yan-peng; Liao, Ning-fang; Su, Jun-hong

    2014-11-01

    The new progress of ground-based long-wave infrared remote sensing is presented. The LWIR hyperspectral imaging by using the windowing spatial and temporal modulation Fourier spectroscopy, and the results of outdoor ether gas detection, verify the features of LWIR hyperspectral imaging remote sensing and technical approach. It provides a new technical means for ground-based gas remote sensing.

  2. Web based remote monitoring and controlling system for vulnerable environments

    Science.gov (United States)

    Thomas, Aparna; George, Minu

    2016-03-01

    The two major areas of concern in industrial establishments are monitoring and security. The remote monitoring and controlling can be established with the help of Web technology. Managers can monitor and control the equipment in the remote area through a web browser. The targeted area includes all type of susceptible environment like gas filling station, research and development laboratories. The environmental parameters like temperature, light intensity, gas etc. can be monitored. Security is a very important factor in an industrial setup. So motion detection feature is added to the system to ensure the security. The remote monitoring and controlling system makes use of the latest, less power consumptive and fast working microcontroller like S3C2440. This system is based on ARM9 and Linux operating system. The ARM9 will collect the sensor data and establish real time video monitoring along with motion detection feature. These captured video data as well as environmental data is transmitted over internet using embedded web server which is integrated within the ARM9 board.

  3. The remote sensing image segmentation mean shift algorithm parallel processing based on MapReduce

    Science.gov (United States)

    Chen, Xi; Zhou, Liqing

    2015-12-01

    With the development of satellite remote sensing technology and the remote sensing image data, traditional remote sensing image segmentation technology cannot meet the massive remote sensing image processing and storage requirements. This article put cloud computing and parallel computing technology in remote sensing image segmentation process, and build a cheap and efficient computer cluster system that uses parallel processing to achieve MeanShift algorithm of remote sensing image segmentation based on the MapReduce model, not only to ensure the quality of remote sensing image segmentation, improved split speed, and better meet the real-time requirements. The remote sensing image segmentation MeanShift algorithm parallel processing algorithm based on MapReduce shows certain significance and a realization of value.

  4. An Android-based Remote Desktop for IOS Platforms

    Directory of Open Access Journals (Sweden)

    Siew-Chin Chong

    2013-09-01

    Full Text Available Thanks to globalization, mobile devices have become an inseparable entity of our daily life. We often expect our smart devices (mobile phone, tablet, portable media player to possess the functionalities of a personal computer. As the technology is getting cheaper, owning multiple mobile devices, each for a specific purpose, is becoming the current trend. For instance, an Android smartphone to fulfill a user’s communication needs on-the-go, an iPad could serve the user’s reading hobby, and lastly, a laptop for productivity activities. As such, to switch among different devices could be the emerging problem of the current generation. With our proposed Android based remote control app, a user does not only able to control his Windows based office laptop, but he could access to his IOS based devices too. Besides click event and text input, this application also supports panning and zooming gesture inputs.

  5. Frequency Based Volcanic Activity Detection through Remotely Sensed Data

    Science.gov (United States)

    Worden, A. K.; Dehn, J.; Webley, P. W.

    2015-12-01

    Satellite remote sensing has proved to offer a useful and relatively inexpensive method for monitoring large areas where field work is logistically unrealistic, and potentially dangerous. Current sensors are able to detect the majority of explosive volcanic activity; those that tend to effect and represent larger scale changes in the volcanic systems, eventually relating to ash producing periods of extended eruptive activity, and effusive activity. As new spaceborne sensors are developed, the ability to detect activity improves so that a system to gauge the frequency of volcanic activity can be used as a useful monitoring tool. Four volcanoes were chosen for development and testing of a method to monitor explosive activity: Stromboli (Italy); Shishaldin and Cleveland (Alaska, USA); and Karymsky (Kamchatka, Russia). Each volcano studied had similar but unique signatures of pre-cursory and eruptive activity. This study has shown that this monitoring tool could be applied to a wide range of volcanoes and still produce useful and robust data. Our method deals specifically with the detection of small scale explosive activity. The method described here could be useful in an operational setting, especially at remote volcanoes that have the potential to impact populations, infrastructure, and the aviation community. A number of important factors will affect the validity of application of this method. They are: (1) the availability of a continuous and continually populated dataset; (2) appropriate and reasonable sensor resolutions; (3) a recorded history of the volcano's previous activity; and, if available, (4) some ground-based monitoring system. We aim to develop the method further to be able to capture and evaluate the frequency of other volcanic processes such as lava flows, phreatomagmatic eruptions and dome growth and collapse. The work shown here has served to illustrate the capability of this method and monitoring tool for use at remote, un-instrumented volcanoes.

  6. Collaborative distribution of remote sensing data based on user profile similarity

    Science.gov (United States)

    Li, Xinguang; Liu, Yang; Li, Yunhua; Wang, Yuhua

    2015-12-01

    With the rapid development of earth observation technology and the rapid increase of remote sensors, the amount of remote sensing data rapidly expands, which leads to increasingly outstanding contradiction of "more and less" remote sensing data. According to the user's preference characteristics, intelligent distribution of remote sensing data is an effective solution to the problem. The user profile model is the basis of intelligent distribution of remote sensing data. This paper intends to (1) establish the user profile model which describes the user's preference characteristics of remote sensing data; (2) develop similarity measure methods of user profile models, according to which similarities of user preference characteristics can be calculated; (3) put forward prediction methods of the user's ratings of remote sensing data, based on which remote sensing data can be collaboratively distributed.

  7. Ground-Based Icing Condition Remote Sensing System Definition

    Science.gov (United States)

    Reehorst, Andrew L.; Koenig, George G.

    2001-01-01

    This report documents the NASA Glenn Research Center activities to assess and down select remote sensing technologies for the purpose of developing a system capable of measuring icing condition hazards aloft. The information generated by such a remote sensing system is intended for use by the entire aviation community, including flight crews. air traffic controllers. airline dispatchers, and aviation weather forecasters. The remote sensing system must be capable of remotely measuring temperature and liquid water content (LWC), and indicating the presence of super-cooled large droplets (SLD). Technologies examined include Profiling Microwave Radiometer, Dual-Band Radar, Multi-Band Radar, Ka-Band Radar. Polarized Ka-Band Radar, and Multiple Field of View (MFOV) Lidar. The assessment of these systems took place primarily during the Mt. Washington Icing Sensors Project (MWISP) in April 1999 and the Alliance Icing Research Study (AIRS) from November 1999 to February 2000. A discussion of the various sensing technologies is included. The result of the assessment is that no one sensing technology can satisfy all of the stated project goals. Therefore a proposed system includes radiometry and Ka-band radar. A multilevel approach is proposed to allow the future selection of the fielded system based upon required capability and available funding. The most basic level system would be the least capable and least expensive. The next level would increase capability and cost, and the highest level would be the most capable and most expensive to field. The Level 1 system would consist of a Profiling Microwave Radiometer. The Level 2 system would add a Ka-Band Radar. The Level 3 system would add polarization to the Ka-Band Radar. All levels of the system would utilize hardware that is already under development by the U.S. Government. However, to meet the needs of the aviation community, all levels of the system will require further development. In addition to the proposed system

  8. Hydrogen-based industry from remote excess hydroelectricity

    International Nuclear Information System (INIS)

    This paper examines synergies, opportunities and barriers associated with hydrogen and excess hydro-electricity in remote areas. The work is based on a case study that examined the techno-economic feasibility of a new hydrogen-based industry using surplus/off-peak generating capacity of the Taltson Dam and Generating Station in the Northwest Territories, Canada. After evaluating the amount and cost of hydrogen that could be produced from the excess capacity, the study investigates three hydrogen utilization scenarios: (1) merchant liquid or compressed hydrogen, (2) hydrogen as a chemical feedstock for the production of hydrogen peroxide, (3) methanol production from biomass, oxygen and hydrogen. Hydrogen peroxide production is the most promising and attractive strategy in the Fort Smith context. The study also illustrates patterns that recur in isolated sites throughout the world. (Author)

  9. FRACTAL DIMENSION OF URBAN EXPANSION BASED ON REMOTE SENSING IMAGES

    Directory of Open Access Journals (Sweden)

    IACOB I. CIPRIAN

    2012-11-01

    Full Text Available Fractal Dimension of Urban Expansion Based on Remote Sensing Images: In Cluj-Napoca city the process of urbanization has been accelerated during the years and implication of local authorities reflects a relevant planning policy. A good urban planning framework should take into account the society demands and also it should satisfy the natural conditions of local environment. The expansion of antropic areas it can be approached by implication of 5D variables (time as a sequence of stages, space: with x, y, z and magnitude of phenomena into the process, which will allow us to analyse and extract the roughness of city shape. Thus, to improve the decision factor we take a different approach in this paper, looking at geometry and scale composition. Using the remote sensing (RS and GIS techniques we manage to extract a sequence of built-up areas (from 1980 to 2012 and used the result as an input for modelling the spatialtemporal changes of urban expansion and fractal theory to analysed the geometric features. Taking the time as a parameter we can observe behaviour and changes in urban landscape, this condition have been known as self-organized – a condition which in first stage the system was without any turbulence (before the antropic factor and during the time tend to approach chaotic behaviour (entropy state without causing an disequilibrium in the main system.

  10. Research on the Remote Data Collection Based SQL Server

    Institute of Scientific and Technical Information of China (English)

    QI Xiangyang; LIN Shuzhong; CUI Hui; WANG Jiangfeng; SUN Huilai

    2006-01-01

    The remote data collection system based on SQL Server database technology was developed by Visual C++ and SQL Server database technology together. The Client/Server mode was adopted. The system adopted the database search technological-ADO to work out the communication procedure of the server. And the old data of corresponding memory units were upgraded by the new data which gathered from PLC through serial port real time in the database. The Client utilizes the network technology and database technology through queries procedure to access the data information in the database. Thus a large number of relevant data that the production line operated were obtained. The goal of understanding operation conditions of product line was achieved through analysis of these data. This system has been debugged by the experiment successfully.

  11. MIS Based on Intranet%基于Intranet的MIS研究

    Institute of Scientific and Technical Information of China (English)

    樊康新

    2004-01-01

    分析了传统管理信息系统(MIS)开发和应用中的缺陷,说明了Intranet的概念、技术与特点,阐述了基于Intranet的MIS结构和功能,探讨了基于Intranet的MIS开发过程中需着重考虑的一些问题.

  12. Remote laboratories: new technology and standard based architecture

    CERN Document Server

    Benmohamed, Hcene; Prévot, Patrick

    2004-01-01

    E-Laboratories are important components of e- learning environments, especially in scientific and technical disciplines. First widespread E-Labs consisted in proposing simulations of real systems (virtual labs), as building remote labs (remote control of real systems) was difficult by lack of industrial standards and common protocols. Nowadays, robotics and automation technologies make easier the interfacing of systems with computers. In this frame, many researchers (such as those mentioned in [1]) focus on how to set up such a remote control. But, only a few of them deal with the educational point of view of the problem. This paper outlines our current research and reflection about remote laboratory modelling.

  13. Web-based remote monitoring of infant incubators in the ICU.

    Science.gov (United States)

    Shin, D I; Huh, S J; Lee, T S; Kim, I Y

    2003-09-01

    A web-based real-time operating, management, and monitoring system for checking temperature and humidity within infant incubators using the Intranet has been developed and installed in the infant Intensive Care Unit (ICU). We have created a pilot system which has a temperature and humidity sensor and a measuring module in each incubator, which is connected to a web-server board via an RS485 port. The system transmits signals using standard web-based TCP/IP so that users can access the system from any Internet-connected personal computer in the hospital. Using this method, the system gathers temperature and humidity data transmitted from the measuring modules via the RS485 port on the web-server board and creates a web document containing these data. The system manager can maintain centralized supervisory monitoring of the situations in all incubators while sitting within the infant ICU at a work space equipped with a personal computer. The system can be set to monitor unusual circumstances and to emit an alarm signal expressed as a sound or a light on a measuring module connected to the related incubator. If the system is configured with a large number of incubators connected to a centralized supervisory monitoring station, it will improve convenience and assure meaningful improvement in response to incidents that require intervention.

  14. The Remote Product Check and Acceptance Technology Based on Web

    Institute of Scientific and Technical Information of China (English)

    YANG Musheng; ZHANG Yu

    2006-01-01

    This paper analyzes the feasibility of the remote check and acceptance of product and presents an architecture through which the remote product check and acceptance system can be realized. This paper also illuminates the work process of this system and discusses the technological details of the quality inspection as well as the key technologies.

  15. Ground-Based Remote Sensing of Water-Stressed Crops: Thermal and Multispectral Imaging

    Science.gov (United States)

    Ground-based methods of remote sensing can be used as ground-truthing for satellite-based remote sensing, and in some cases may be a more affordable means of obtaining such data. Plant canopy temperature has been used to indicate and quantify plant water stress. A field research study was conducted ...

  16. DEVELOPING MULTITHREADED DATABASE APPLICATION USING JAVA TOOLS AND ORACLE DATABASE MANAGEMENT SYSTEM IN INTRANET ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Raied Salman

    2015-11-01

    Full Text Available In many business organizations, database applications are designed and implemented using various DBMS and Programming Languages. These applications are used to maintain databases for the organizations. The organization departments can be located at different locations and can be connected by intranet environment. In such environment maintenance of database records become an assignment of complexity which needs to be resolved. In this paper an intranet application is designed and implemented using Object-Oriented Programming Language Java and Object-Relational Database Management System Oracle in multithreaded Operating System environment.

  17. PENGEMBANGAN WEB INTRANET FISIKA UNTUK MENINGKATKAN PENGUASAAN KONSEP DAN KEMAMPUAN PEMECAHAN MASALAH SISWA SMK

    Directory of Open Access Journals (Sweden)

    A. Doyan

    2015-04-01

    Full Text Available Penelitian ini bertujuan untuk mengembangkan media pembelajaran web intranet fisika dan mengetahui pengaruhnya terhadap penguasaan konsep dan kemampuan pemecahan masalah siswa. Penelitian ini menggunakan desain penelitian dan pengembangan model Borg dan Gall yang dimodifikasi menjadi tiga tahap, yaitu tahap studi pendahuluan, tahap pengembangan media,dan tahap uji coba media. Tahap studi pendahuluan dilaksanakan dengan studi kepustakaan dan survei awal. Tahap pengembangan media menghasilkan draf awal media. Penelitian dilanjutkan dengan tahap implementasi uji coba terbatas dan uji coba lebih luas media pembelajaran web intranet fisika di SMKN 2 Praya Tengah. Pembelajaran materi usaha, energi, dan daya di kelas eksperimen menggunakan web intranet fisika sedangkan di kelas kontrol menggunakan pembelajaran konvensional. Kedua kelas dianalisis menggunakan uji perbedaan rata-rata (Uji t atau Uji Mann-Whitney dan skor gain ternormalisasi (N-gain. Berdasarkan hasil penelitian dapat disimpulkan bahwa pembelajaran web intranet fisika efektif meningkatkan penguasaan konsep tetapi tidak efektif meningkatkan kemampuan pemecahan masalah siswa SMK.ABSTRACTThe research was aimed at developing a learning media of physics intranet web and knowing its impacts to the student’s concept comprehension and problem solving skills. The research used a research design and development model of Borg and Gall which was modified into three stages; those were stage of preliminary study, stage of media development, and stage of media testing.The stage of preliminary study was conducted by having literature review and initial survey. Furthermore media development generated an initial draft of media. The research was continued with the stage of limited testing and more extensive testing implementation of physics intranet web learning media at SMKN 2 Praya Tengah. The learning material of work, energy and power in the experimental group used the physics intranet web, while the

  18. Natural gas leaks detection by spatial-resolvable-CW-laser-based remote monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Agishev, R.R.; Bajazitov, R.A.; Galeyev, M.M.; Ismagilow, Z.B. [Kazan State Technical Univ., Tatarstan (Russian Federation). Dept. of Radioelectronic and Quantum Systems

    1996-12-31

    The opportunities of spatial-resolvable atmosphere monitoring and atmospheric pollutions remote chemical analysis based on the CW-laser radiants are investigated. A frequency-responsive processing peculiarities of atmosphere remote sensing signals are described. Application of the mentioned approach for the limited hydrocarbons remote detection and sensing is discussed. The requirements to the CW-LIDAR receiving and radiating systems parameters are formulated. The evaluations of the system sensitivity limit, measurement accuracy and accuracy increase ways are presented.

  19. Ground-based remote sensing of tropospheric water vapour isotopologues within the project MUSICA

    OpenAIRE

    Schneider, M.; S. Barthlott; F. Hase; González, Y.; Yoshimura, K; O. E. García; E. Sepúlveda; Gomez-Pelaez, A.; Gisi, M.; R. Kohlhepp; S. Dohe; Blumenstock, T.; Wiegele, A.; E. Christner; Strong, K.

    2012-01-01

    Within the project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water), long-term tropospheric water vapour isotopologues data records are provided for ten globally distributed ground-based mid-infrared remote sensing stations of the NDACC (Network for the Detection of Atmospheric Composition Change). We present a new method allowing for an extensive and straightforward characterisation of the complex nature of such isotopologue remote sens...

  20. Design of Content-Based Retrieval System in Remote Sensing Image Database

    Institute of Scientific and Technical Information of China (English)

    LI Feng; ZENG Zhiming; HU Yanfeng; FU Kun

    2006-01-01

    To retrieve the object region efficaciously from massive remote sensing image database, a model for content-based retrieval of remote sensing image is given according to the characters of remote sensing image application firstly, and then the algorithm adopted for feature extraction and multidimensional indexing, and relevance feedback by this model are analyzed in detail. Finally, the contents intending to be researched about this model are proposed.

  1. Remote Access using Remote Frame Buffer Protocol based on Virtual Network Computing Architecture in Mobile Cloud

    Directory of Open Access Journals (Sweden)

    Maddali M. V. M. Kumar

    2013-07-01

    Full Text Available Mobile Cloud Computing is the emerging area with the usage of Cloud Computing in mixture with mobile devices. The principle of mobile cloud computing physically splits the user interface from the application logic. Although they suffer from intrinsic resource limitations, mobile devices have become very prevalent. Mobile cloud computing provides a elucidation to come across the intensifying functionality demands of end-users, as all application logic is proficient on reserved servers and only user interface functionalities reside on the mobile device. The mobile device turns as a remote display, taking user input and translation the display updates acknowledged from the reserved server. The key challenge for mobile cloud computing is the boundaries inherent to the mobile devices like processing power, memory, network bandwidth and storage capacity as compared to a fixed device like PC, and short battery lifetime and interaction latency present additional major challenges for the remote display on mobile devices of cloud applications. In this paper a number of adequate solutions that have been suggested to tackle the main issues accompanying with the remote display on mobile devices of cloud facilities.

  2. Ground-Based Correction of Remote-Sensing Spectral Imagery

    Science.gov (United States)

    Alder-Golden, Steven M.; Rochford, Peter; Matthew, Michael; Berk, Alexander

    2007-01-01

    Software has been developed for an improved method of correcting for the atmospheric optical effects (primarily, effects of aerosols and water vapor) in spectral images of the surface of the Earth acquired by airborne and spaceborne remote-sensing instruments. In this method, the variables needed for the corrections are extracted from the readings of a radiometer located on the ground in the vicinity of the scene of interest. The software includes algorithms that analyze measurement data acquired from a shadow-band radiometer. These algorithms are based on a prior radiation transport software model, called MODTRAN, that has been developed through several versions up to what are now known as MODTRAN4 and MODTRAN5 . These components have been integrated with a user-friendly Interactive Data Language (IDL) front end and an advanced version of MODTRAN4. Software tools for handling general data formats, performing a Langley-type calibration, and generating an output file of retrieved atmospheric parameters for use in another atmospheric-correction computer program known as FLAASH have also been incorporated into the present soft-ware. Concomitantly with the soft-ware described thus far, there has been developed a version of FLAASH that utilizes the retrieved atmospheric parameters to process spectral image data.

  3. Remote control of magnetostriction-based nanocontacts at room temperature

    Science.gov (United States)

    Jammalamadaka, S. Narayana; Kuntz, Sebastian; Berg, Oliver; Kittler, Wolfram; Kannan, U. Mohanan; Chelvane, J. Arout; Sürgers, Christoph

    2015-09-01

    The remote control of the electrical conductance through nanosized junctions at room temperature will play an important role in future nano-electromechanical systems and electronic devices. This can be achieved by exploiting the magnetostriction effects of ferromagnetic materials. Here we report on the electrical conductance of magnetic nanocontacts obtained from wires of the giant magnetostrictive compound Tb0.3Dy0.7Fe1.95 as an active element in a mechanically controlled break-junction device. The nanocontacts are reproducibly switched at room temperature between “open” (zero conductance) and “closed” (nonzero conductance) states by variation of a magnetic field applied perpendicularly to the long wire axis. Conductance measurements in a magnetic field oriented parallel to the long wire axis exhibit a different behaviour where the conductance switches between both states only in a limited field range close to the coercive field. Investigating the conductance in the regime of electron tunneling by mechanical or magnetostrictive control of the electrode separation enables an estimation of the magnetostriction. The present results pave the way to utilize the material in devices based on nano-electromechanical systems operating at room temperature.

  4. Inquiry-Based Learning in Remote Sensing: A Space Balloon Educational Experiment

    Science.gov (United States)

    Mountrakis, Giorgos; Triantakonstantis, Dimitrios

    2012-01-01

    Teaching remote sensing in higher education has been traditionally restricted in lecture and computer-aided laboratory activities. This paper presents and evaluates an engaging inquiry-based educational experiment. The experiment was incorporated in an introductory remote sensing undergraduate course to bridge the gap between theory and…

  5. Designing an intranet from scratch to sketch: experiences from techniques used in the IDEnet project

    DEFF Research Database (Denmark)

    Berndtsson, Johan

    1999-01-01

    , participatory design and human-computer interaction. This paper discusses the use of one technique from each of these research areas in the development of an intranet (IDEnet) from `scratch to sketch' at the Department of Computer Science and Business Administration (IDE) in the University College of Karlskrona...

  6. A Distributed Intranet/Web Solution to Integrated Management of Access Networks

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    In this article, we describe the present situation of access network management, enumerate a few problems during the development of network management systems, then put forward a distributed Intranet/Web solution named iMAN to the integrated management of access networks, present its architecture and protocol stack, and describe its application in practice.

  7. Two Approaches to Surfacing Full-Text News on an Intranet

    Science.gov (United States)

    Jones, Barrett; Maslyukova, Elena

    2006-01-01

    Integrating news services into an intranet can be tricky. Even within related organizations, slight differences in subscriptions and end-user needs can necessitate different integration approaches. This article examines how the World Bank and the International Monetary Fund took separate approaches to tackle the same integration challenge in…

  8. AmericaView - A State-Based Remote Sensing Initiative Integrating Remote Sensing Data Into Geospatial Education and Applications

    Science.gov (United States)

    Dodge, R. L.; Lawrence, R.

    2007-12-01

    AmericaView (AV) is a national program created to advance the availability, timely distribution, and widespread use of land remote sensing data, especially among users within the university and government communities. Since the 1970s the federal government and private sector have spent billions of dollars on satellite-based earth observing systems, but distribution of data and development of real-world applications have been tough issues for the government and the academic research communities. It has often been hard for researchers to use or even access the data, particularly at smaller schools or research facilities, hindering applied research and current and future workforce development. Many state and local agencies working with applied research programs have not been able to effectively integrate remote sensing data into their geospatial management or decision-support programs. AV addresses these issues through a partnership between the U.S. Geological Survey and the AmericaView Consortium, which is a 501c3 non-profit comprised of university-led, state-based consortia. AmericaView is the federal government's partner in achieving the program vision and goals, which focus both on making data available in usable, cost-effective formats and on helping the university, secondary-education, and public sectors in each state identify, develop, and implement the kinds of remote sensing applications each state needs most. AV is developing applied remote sensing research programs in each of its thirty StateViews. Partner academic institutions are creating internships programs involving students and faculty with applications development, in cooperation with local, state, and federal government agencies. Education and training outreach programs are improving workforce preparation at K-12, post-secondary, and professional levels. Data distribution and sharing infrastructure that leverages funding and avoids duplication is enabling practical archive expansion and distribution

  9. Natural Radioactivity Source Term Based on Remote Sensing Data

    International Nuclear Information System (INIS)

    The paper describes the basic principles for applying satellite remote sensing technology to the investigation of natural radioactivity. The relationship between areas of natural background anomalies and geological characteristics is analysed systematically. The supervised classification method and spectral angle mapping are used for the extraction of remote sensing information. Geological features with elevated levels of gamma radiation can be identified on small scale maps. On-site inspections have been launched. The relationship between natural radiation level and radiation source term is becoming clearer. The study provides exact locations and targets for protection and control in areas with elevated levels of gamma radiation. The project has the potential for expanding the range of services in environmental geochemistry and remote sensing geology. It opens up a new approach for conducting research on natural radioactivity. (author)

  10. Wireless remote weather monitoring system based on MEMS technologies.

    Science.gov (United States)

    Ma, Rong-Hua; Wang, Yu-Hsiang; Lee, Chia-Yen

    2011-01-01

    This study proposes a wireless remote weather monitoring system based on Micro-Electro-Mechanical Systems (MEMS) and wireless sensor network (WSN) technologies comprising sensors for the measurement of temperature, humidity, pressure, wind speed and direction, integrated on a single chip. The sensing signals are transmitted between the Octopus II-A sensor nodes using WSN technology, following amplification and analog/digital conversion (ADC). Experimental results show that the resistance of the micro temperature sensor increases linearly with input temperature, with an average TCR (temperature coefficient of resistance) value of 8.2 × 10(-4) (°C(-1)). The resistance of the pressure sensor also increases linearly with air pressure, with an average sensitivity value of 3.5 × 10(-2) (Ω/kPa). The sensitivity to humidity increases with ambient temperature due to the effect of temperature on the dielectric constant, which was determined to be 16.9, 21.4, 27.0, and 38.2 (pF/%RH) at 27 °C, 30 °C, 40 °C, and 50 °C, respectively. The velocity of airflow is obtained by summing the variations in resistor response as airflow passed over the sensors providing sensitivity of 4.2 × 10(-2), 9.2 × 10(-2), 9.7 × 10(-2) (Ω/ms(-1)) with power consumption by the heating resistor of 0.2, 0.3, and 0.5 W, respectively. The passage of air across the surface of the flow sensors prompts variations in temperature among each of the sensing resistors. Evaluating these variations in resistance caused by the temperature change enables the measurement of wind direction. PMID:22163762

  11. Wireless Remote Weather Monitoring System Based on MEMS Technologies

    Directory of Open Access Journals (Sweden)

    Rong-Hua Ma

    2011-03-01

    Full Text Available This study proposes a wireless remote weather monitoring system based on Micro-Electro-Mechanical Systems (MEMS and wireless sensor network (WSN technologies comprising sensors for the measurement of temperature, humidity, pressure, wind speed and direction, integrated on a single chip. The sensing signals are transmitted between the Octopus II-A sensor nodes using WSN technology, following amplification and analog/digital conversion (ADC. Experimental results show that the resistance of the micro temperature sensor increases linearly with input temperature, with an average TCR (temperature coefficient of resistance value of 8.2 × 10−4 (°C−1. The resistance of the pressure sensor also increases linearly with air pressure, with an average sensitivity value of 3.5 × 10−2 (Ω/kPa. The sensitivity to humidity increases with ambient temperature due to the effect of temperature on the dielectric constant, which was determined to be 16.9, 21.4, 27.0, and 38.2 (pF/%RH at 27 °C, 30 °C, 40 °C, and 50 °C, respectively. The velocity of airflow is obtained by summing the variations in resistor response as airflow passed over the sensors providing sensitivity of 4.2 × 10−2, 9.2 × 10−2, 9.7 × 10−2 (Ω/ms−1 with power consumption by the heating resistor of 0.2, 0.3, and 0.5 W, respectively. The passage of air across the surface of the flow sensors prompts variations in temperature among each of the sensing resistors. Evaluating these variations in resistance caused by the temperature change enables the measurement of wind direction.

  12. Remote sensing clustering analysis based on object-based interval modeling

    Science.gov (United States)

    He, Hui; Liang, Tianheng; Hu, Dan; Yu, Xianchuan

    2016-09-01

    In object-based clustering, image data are segmented into objects (groups of pixels) and then clustered based on the objects' features. This method can be used to automatically classify high-resolution, remote sensing images, but requires accurate descriptions of object features. In this paper, we ascertain that interval-valued data model is appropriate for describing clustering prototype features. With this in mind, we developed an object-based interval modeling method for high-resolution, multiband, remote sensing data. We also designed an adaptive interval-valued fuzzy clustering method. We ran experiments utilizing images from the SPOT-5 satellite sensor, for the Pearl River Delta region and Beijing. The results indicate that the proposed algorithm considers both the anisotropy of the remote sensing data and the ambiguity of objects. Additionally, we present a new dissimilarity measure for interval vectors, which better separates the interval vectors generated by features of the segmentation units (objects). This approach effectively limits classification errors caused by spectral mixing between classes. Compared with the object-based unsupervised classification method proposed earlier, the proposed algorithm improves the classification accuracy without increasing computational complexity.

  13. [Design of the remote monitoring system of vital sign based on smartphone and mobile internet].

    Science.gov (United States)

    Wen, Chuanxue; Zhou, Hongjian; Zhang, Junfei

    2015-02-01

    The present paper presents the design of a remote monitoring system based on smartphone and mobile internet. The system can realize functions such as multi-physiological parameter collection, micromation of collecting equipment, real-time monitoring, remote data transmission, automatic alarm, physiological parameter analyze and Global Position System (GPS) location of patient's position. Besides acting as a receiver and transmission platform, smartphone can also process and analyze the physiological parameters, such as detection of the apnea from electrocardiogram (ECG). The system contains technologies of MCU, Bluetooth transmission, Android and Wed development, wavelet transform, mobile communication as a whole. It propels further developments of the remote mobile medical based on smartphone. PMID:25997272

  14. Structured nonlinear optical materials for LIDAR-based remote sensing Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This NASA Phase II STTR effort will develop domain-engineered magnesium oxide doped lithium niobate (MgO:LN) for LIDAR-based remote sensing and communication...

  15. a Hadoop-Based Distributed Framework for Efficient Managing and Processing Big Remote Sensing Images

    Science.gov (United States)

    Wang, C.; Hu, F.; Hu, X.; Zhao, S.; Wen, W.; Yang, C.

    2015-07-01

    Various sensors from airborne and satellite platforms are producing large volumes of remote sensing images for mapping, environmental monitoring, disaster management, military intelligence, and others. However, it is challenging to efficiently storage, query and process such big data due to the data- and computing- intensive issues. In this paper, a Hadoop-based framework is proposed to manage and process the big remote sensing data in a distributed and parallel manner. Especially, remote sensing data can be directly fetched from other data platforms into the Hadoop Distributed File System (HDFS). The Orfeo toolbox, a ready-to-use tool for large image processing, is integrated into MapReduce to provide affluent image processing operations. With the integration of HDFS, Orfeo toolbox and MapReduce, these remote sensing images can be directly processed in parallel in a scalable computing environment. The experiment results show that the proposed framework can efficiently manage and process such big remote sensing data.

  16. Remote Multimedia Monitoring System Based on Embedded Web Server for Networked Manufacturing

    Institute of Scientific and Technical Information of China (English)

    HEDeqiang; YANGYu; 等

    2002-01-01

    A new-style remote monitoring system is propsed.which is based on enterprises' embedded wed servers and can be widely used in enterprises' networked manufactureing systems.The principle and characteristics of remote monitoring system based on embedded web server are analyzed.Such a kind of system for networked manufacturing is designed ,and it proves efficient and feasible in promoting communication among enterprises,improving designing and scheduling,decreasing facility failure and reducing product cost.

  17. The Research and Design of the Android-Based Facilities Environment Multifunction Remote Monitoring System

    OpenAIRE

    Gao, Lutao; Yang, Linnan; Peng, Lin; Chen, Yingjie; Yu, Yongzhou

    2012-01-01

    International audience; For the actual demand of national facilities environment remote monitoring system combined with mobile Internet technology is cheaper, simpler to operate and better performance of mobility management. This article describes the research of the Android-based facilities environment multifunction remote monitoring system that based on the Android Smartphone as the terminal, was combined with wireless camera, relay group, wireless AP + temperature and humidity (light inten...

  18. Remote measurement of microwave distribution based on optical detection

    International Nuclear Information System (INIS)

    In this letter, we present the development of a remote microwave measurement system. This method employs an arc discharge lamp that serves as an energy converter from microwave to visible light, which can propagate without transmission medium. Observed with a charge coupled device, quantitative microwave power distribution can be achieved when the operators and electronic instruments are in a distance from the high power region in order to reduce the potential risk. We perform the experiments using pulsed microwaves, and the results show that the system response is dependent on the microwave intensity over a certain range. Most importantly, the microwave distribution can be monitored in real time by optical observation of the response of a one-dimensional lamp array. The characteristics of low cost, a wide detection bandwidth, remote measurement, and room temperature operation make the system a preferred detector for microwave applications

  19. Remote measurement of microwave distribution based on optical detection

    Energy Technology Data Exchange (ETDEWEB)

    Ji, Zhong; Ding, Wenzheng; Yang, Sihua; Chen, Qun, E-mail: redrocks-chenqun@hotmail.com, E-mail: xingda@scnu.edu.cn; Xing, Da, E-mail: redrocks-chenqun@hotmail.com, E-mail: xingda@scnu.edu.cn [MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, South China Normal University, Guangzhou 510631 (China)

    2016-01-04

    In this letter, we present the development of a remote microwave measurement system. This method employs an arc discharge lamp that serves as an energy converter from microwave to visible light, which can propagate without transmission medium. Observed with a charge coupled device, quantitative microwave power distribution can be achieved when the operators and electronic instruments are in a distance from the high power region in order to reduce the potential risk. We perform the experiments using pulsed microwaves, and the results show that the system response is dependent on the microwave intensity over a certain range. Most importantly, the microwave distribution can be monitored in real time by optical observation of the response of a one-dimensional lamp array. The characteristics of low cost, a wide detection bandwidth, remote measurement, and room temperature operation make the system a preferred detector for microwave applications.

  20. Research on Coal Exploration Technology Based on Satellite Remote Sensing

    OpenAIRE

    Dong Xiao; Ba Tuan Le; Yachun Mao; Jinhong Jiang; Liang Song; Shanjun Liu

    2016-01-01

    Coal is the main source of energy. In China and Vietnam, coal resources are very rich, but the exploration level is relatively low. This is mainly caused by the complicated geological structure, the low efficiency, the related damage, and other bad situations. To this end, we need to make use of some advanced technologies to guarantee the resource exploration is implemented smoothly and orderly. Numerous studies show that remote sensing technology is an effective way in coal exploration and m...

  1. Remote control of magnetostriction-based nanocontacts at room temperature

    OpenAIRE

    S. Narayana Jammalamadaka; Sebastian Kuntz; Oliver Berg; Wolfram Kittler; U. Mohanan Kannan; Arout Chelvane, J.; Christoph Sürgers

    2015-01-01

    The remote control of the electrical conductance through nanosized junctions at room temperature will play an important role in future nano-electromechanical systems and electronic devices. This can be achieved by exploiting the magnetostriction effects of ferromagnetic materials. Here we report on the electrical conductance of magnetic nanocontacts obtained from wires of the giant magnetostrictive compound Tb 0.3 Dy 0.7 Fe 1.95 as an active element in a mechanically controlled break-junction...

  2. Non Radiation Hardened Microprocessors in Spaced Based Remote Sensing Systems

    Science.gov (United States)

    Decoursey, Robert J.; Estes, Robert F.; Melton, Ryan

    2006-01-01

    The CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) mission is a comprehensive suite of active and passive sensors including a 20Hz 230mj Nd:YAG lidar, a visible wavelength Earth-looking camera and an imaging infrared radiometer. CALIPSO flies in formation with the Earth Observing System Post-Meridian (EOS PM) train, provides continuous, near-simultaneous measurements and is a planned 3 year mission. CALIPSO was launched into a 98 degree sun synchronous Earth orbit in April of 2006 to study clouds and aerosols and acquires over 5 gigabytes of data every 24 hours. The ground track of one CALIPSO orbit as well as high and low intensity South Atlantic Anomaly outlines is shown. CALIPSO passes through the SAA several times each day. Spaced based remote sensing systems that include multiple instruments and/or instruments such as lidar generate large volumes of data and require robust real-time hardware and software mechanisms and high throughput processors. Due to onboard storage restrictions and telemetry downlink limitations these systems must pre-process and reduce the data before sending it to the ground. This onboard processing and realtime requirement load may mean that newer more powerful processors are needed even though acceptable radiation-hardened versions have not yet been released. CALIPSO's single board computer payload controller processor is actually a set of four (4) voting non-radiation hardened COTS Power PC 603r's built on a single width VME card by General Dynamics Advanced Information Systems (GDAIS). Significant radiation concerns for CALIPSO and other Low Earth Orbit (LEO) satellites include the South Atlantic Anomaly (SAA), the north and south poles and strong solar events. Over much of South America and extending into the South Atlantic Ocean the Van Allen radiation belts dip to just 200-800km and spacecraft entering this area are subjected to high energy protons and experience higher than normal Single Event Upset

  3. OpenRS-Cloud:A remote sensing image processing platform based on cloud computing environment

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    This paper explores the use of cloud computing for remote sensing image processing.The main contribution of our work is to develop a remote sensing image processing platform based on cloud computing technology(OpenRS-Cloud).This paper focuses on enabling methodical investigations into the development pattern,computational model,data management and service model exploring this novel distributed computing model.The experimental INSAR processing flow is implemented to verify the efficiency and feasibility of OpenRS-Cloud platform.The results show that cloud computing is well suited for computationally-intensive and data-intensive remote sensing services.

  4. On Analysis and Design of the Enhanced Firewall for Intranet Security

    Directory of Open Access Journals (Sweden)

    U. K. Singh

    2005-01-01

    Full Text Available Intranet often employ an Internet firewall to mitigate risks of system penetration, data theft, data destruction and other security breaches. Conventional Internet firewalls impose an overly simple inside vs. outside model of security that is incompatible with many business practices that require extending limited trust to external entities. Additionally, firewall security perimeters are somewhat weak: they provide no protection from inside attacks and do not protect sensitive data, which can be exported by tunneling through permitted protocols. In this study we have suggested the integration of some useful additional information along-with intrusion detection system and virus monitors into firewall. In particular, we aim at integrating as many security measures as possible into the firewall, creating what we will call an enhanced firewall. One of the main features of the enhanced firewall will be protecting intranet against various malicious attack

  5. THE STRENGTH OF INTRANET IN CASES OF COMMUNICATION IN SANTOS PORT TERMINALS BUSINESS

    Directory of Open Access Journals (Sweden)

    Fernanda Barazal Duarte Vieira

    2013-06-01

    Full Text Available This paper proposes an analysis of the process of internal communication and use of new media, focusing on the Intranet as a tool for work and development of intellectual capital. There were a theoretical review and an empirical study which sought to experience the process of internal communication. Cargo storage companies of the Port of Santos were selected as the universe of the research, which included interviews with those responsible for communication with their workforce. The potential of the intranet and collaborative tools as allies in the complex process of communication and development of people became apparent, as well as the benefits that new technologies have provided to the companies studied

  6. Fusion of urban remote image based on multi-characteristics

    Institute of Scientific and Technical Information of China (English)

    Xuhong Yang; Zhongliang Jing; Gang Liu

    2006-01-01

    @@ A fusion approach is proposed to refine the resolution of urban multi-spectral images using the corre sponding high-resolution panchromatic (PAN) images. Firstly, the two images are decomposed by wavelet transformation, and five texture features are extracted from high-frequency detailed sub-images. Then a multi-characteristics fusion rule is used to merge wavelet coefficients from the two images according to the extracted features. Experimental results indicate that, comparing with the non-characteristic methods, the proposed method can efficiently preserve the spectral information while improving the spatial resolution of the urban remote sensing images.

  7. Evaluation of a remote webcam-based eye tracker

    DEFF Research Database (Denmark)

    Skovsgaard, Henrik; Agustin, Javier San; Johansen, Sune Alstrup;

    2011-01-01

    In this paper we assess the performance of an open-source gaze tracker in a remote (i.e. table-mounted) setup, and compare it with two other commercial eye trackers. An experiment with 5 subjects showed the open-source eye tracker to have a significantly higher level of accuracy than one of the c...... of the commercial systems, Mirametrix S1, but also a higher error rate than the other commercial system, a Tobii T60. We conclude that the web-camera solution may be viable for people who need a substitute for the mouse input but cannot afford a commercial system....

  8. Model-based acoustic remote sensing of seafloor characteristics

    Digital Repository Service at National Institute of Oceanography (India)

    De, Ch.; Chakraborty, B.

    characterization of seafloor sediment employing a hybrid method of neural network architecture and fuzzy algorithm,” IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 743–747, Oct. 2009. [7] C. De and B. Chakraborty, “Preference of echo features... for classification of seafloor sediments using neural networks,” Mar. Geophy. Res., vol. 31, no. 3, pp. 215–221, Sep. 2010. [8] B. Chakraborty, H. W. Schenke, V. Kodagali, and R. Hagen, “Sea bottom characterization using multibeam echo sounder angular backscatter...

  9. Introducing WebSocket-Based Real-Time Monitoring System for Remote Intelligent Buildings

    OpenAIRE

    Kun Ma; Runyuan Sun

    2013-01-01

    Today, wireless sensor networks (WSNs) in electronic engineering are used in the monitoring of remote intelligent buildings, and the need for emerging Web 3.0 is becoming more and more in every aspect of electronic engineering. However, the key challenges of monitoring are the monitoring approaches and storage models of huge historical monitoring data. To address these limitations, we attempt to design a WebSocket-based real-time monitoring system for remote intelligent buildings. On one hand...

  10. REMOTE, a Wireless Sensor Network Based System to Monitor Rowing Performance

    OpenAIRE

    Jordi Llosa; Ignasi Vilajosana; Xavier Vilajosana; Nacho Navarro; Emma Suriñach; Joan Manuel Marquès

    2009-01-01

    In this paper, we take a hard look at the performance of REMOTE, a sensor network based application that provides a detailed picture of a boat movement, individual rower performance, or his/her performance compared with other crew members. The application analyzes data gathered with a WSN strategically deployed over a boat to obtain information on the boat and oar movements. Functionalities of REMOTE are compared to those of RowX [1] outdoor instrument, a commercial wired sensor instrument de...

  11. A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining

    OpenAIRE

    Yun Zhang; Xueming Li; Jianli Zhang; Derui Song

    2013-01-01

    In this paper, data mining theory is applied to carry out the field of the pretreatment of remote sensing images. These results show that it is an effective method for carrying out the pretreatment of low-precision remote sensing images by multisource image matching algorithm with SIFT operator, geometric correction on satellite images at scarce control points, and other techniques; the result of the coastline extracted by the edge detection method based on a chromatic aberration Canny operat...

  12. An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing

    OpenAIRE

    Chenghai Yang; Westbrook, John K.; Charles P.-C. Suh; Martin, Daniel E.; W. Clint Hoffmann; Yubin Lan; Bradley K. Fritz; John A. Goolsby

    2014-01-01

    This paper describes the design and evaluation of an airborne multispectral imaging system based on two identical consumer-grade cameras for agricultural remote sensing. The cameras are equipped with a full-frame complementary metal oxide semiconductor (CMOS) sensor with 5616 × 3744 pixels. One camera captures normal color images, while the other is modified to obtain near-infrared (NIR) images. The color camera is also equipped with a GPS receiver to allow geotagged images. A remote control ...

  13. Intregration vorhandener heterogener Applikationen ins Inter-/Intranet mittels Web-Technologie.

    OpenAIRE

    Priemer, Karsten

    1997-01-01

    Gegenstand der Arbeit ist die Analyse und Verbesserung des bestehenden Softwaresystems ¨Internet Gateway Language - IGL¨. Dieses Softwaresystem wurde bei der Siemens Nixdorf Informationssysteme AG, in der Abteilung ¨Dienstleistungszentrum Systemtechnik/-integration¨ entwickelt. Ziel von ¨IGL¨ ist die schnelle und kosteneffiziente Anbindung bestehender Applikationen an das Internet bzw. an Intranets mittels der World Wide Web-Technologie. Um auftretende Performance-...

  14. Implementation of bibliographic research system in the Library Web Site (Intranet)

    International Nuclear Information System (INIS)

    The development of an automatic system of bibliographic research for the library using the infrastructure of the net installed in the RACSO Nuclear Center is described. A private web site (Intranet) was used searching the minimum reduction of the costs derived from the use of licenses and/or commercial programs. All the development was carried out using programs of free distribution with GPL license (GNU Public License)

  15. THE STRENGTH OF INTRANET IN CASES OF COMMUNICATION IN SANTOS PORT TERMINALS BUSINESS

    OpenAIRE

    Fernanda Barazal Duarte Vieira; José Alberto Carvalho dos Santos Claro

    2013-01-01

    This paper proposes an analysis of the process of internal communication and use of new media, focusing on the Intranet as a tool for work and development of intellectual capital. There were a theoretical review and an empirical study which sought to experience the process of internal communication. Cargo storage companies of the Port of Santos were selected as the universe of the research, which included interviews with those responsible for communication with their workforce. The potenti...

  16. SOPC BASED WIRELESS REMOTE PATIENT MONITORING USING ULTRA LIGHTWEIGHT CRYPTOGRAPHY

    Directory of Open Access Journals (Sweden)

    A. Arun

    2014-01-01

    Full Text Available Remote Patient Monitoring (RPM provides flexible and powerful patient surveillance through wearable devices at anytime and anywhere. This can be achieved by using a Body Sensor Network (BSN, which is deployed on a human body for monitoring the healthcare. The mobile healthcare management with increased feasibility and handiness introduced several noteworthy challenges for the provider, policy makers, patient and hospitals. A significant challenge is to provide round-the-clock healthcare services to those patients who require it via wearable medical devices. In addition to this, the sensors collect the personal medical data where the security and privacy are important components in RPM. As a result, one of the most significant and challenging concern to deal with is how to secure the personal information of the patients and to eliminate their privacy issue. This study presents System on Programmable Chip (SoPC implementation of Remote Patient Monitoring System (RPM with Ultra Lightweight algorithms for security issues. Humming Bird 2 (HB-2, PRESENT and HIGHT algorithms were implemented since the wearable medical devices require fewer areas to achieve portability. The comparison results shows that Degree of Confusion of HB-2 is 50.43 which outstand the other, the efficiency of the entire algorithm implemented in SoPC are higher comparing with conventional Field Programmable Gate Array (FPGA implementation. The comparison was extended and in Particular, power and area consumption of HB-2 is less than PRESENT and HIGHT algorithm, which is more suitable for RPM devices.

  17. Hyperspectral remote sensing image classification based on decision level fusion

    Institute of Scientific and Technical Information of China (English)

    Peijun Du; Wei Zhang; Junshi Xia

    2011-01-01

    @@ To apply decision level fusion to hyperspectral remote sensing (HRS) image classification, three decision level fusion strategies are experimented on and compared, namely, linear consensus algorithm, improved evidence theory, and the proposed support vector machine (SVM) combiner.To evaluate the effects of the input features on classification performance, four schemes are used to organize input features for member classifiers.In the experiment, by using the operational modular imaging spectrometer (OMIS) II HRS image, the decision level fusion is shown as an effective way for improving the classification accuracy of the HRS image, and the proposed SVM combiner is especially suitable for decision level fusion.The results also indicate that the optimization of input features can improve the classification performance.%To apply decision level fusion to hyperspectral remote sensing (HRS) image classification, three decision level fusion strategies are experimented on and compared, namely, linear consensus algorithm, improved evidence theory, and the proposed support vector machine (SVM) combiner. To evaluate the effects of the input features on classification performance, four schemes are used to organize input features for member classifiers. In the experiment, by using the operational modular imaging spectrometer (OMIS) Ⅱ HRS image, the decision level fusion is shown as an effective way for improving the classification accuracy of the HRS image, and the proposed SVM combiner is especially suitable for decision level fusion. The results also indicate that the optimization of input features can improve the classification performance.

  18. Some Insights on Grassland Health Assessment Based on Remote Sensing

    Directory of Open Access Journals (Sweden)

    Dandan Xu

    2015-01-01

    Full Text Available Grassland ecosystem is one of the largest ecosystems, which naturally occurs on all continents excluding Antarctica and provides both ecological and economic functions. The deterioration of natural grassland has been attracting many grassland researchers to monitor the grassland condition and dynamics for decades. Remote sensing techniques, which are advanced in dealing with the scale constraints of ecological research and provide temporal information, become a powerful approach of grassland ecosystem monitoring. So far, grassland health monitoring studies have mostly focused on different areas, for example, productivity evaluation, classification, vegetation dynamics, livestock carrying capacity, grazing intensity, natural disaster detecting, fire, climate change, coverage assessment and soil erosion. However, the grassland ecosystem is a complex system which is formed by soil, vegetation, wildlife and atmosphere. Thus, it is time to consider the grassland ecosystem as an entity synthetically and establish an integrated grassland health monitoring system to combine different aspects of the complex grassland ecosystem. In this review, current grassland health monitoring methods, including rangeland health assessment, ecosystem health assessment and grassland monitoring by remote sensing from different aspects, are discussed along with the future directions of grassland health assessment.

  19. A LabVIEW based Remote DSP Laboratory

    Directory of Open Access Journals (Sweden)

    Athanasios Kalantzopoulos

    2008-07-01

    Full Text Available Remote laboratories provide the students with the capability to perform laboratory exercises exploiting the relevant equipment any time of the day without their physical presence. Furthermore, providing the ability to use a single workstation by more than one student, they contribute to the reduction of the laboratory cost. Turning to advantage the above and according to the needs of post graduate modules in the fields of DSP Systems Design and Signal Processing Systems with DSPs, we designed and developed a Remote DSP Laboratory. A student using a Web Browser has the ability via internet to turn to account the R-DSP Lab and perform experiments using DSPs (Digital Signal Processors. For now, there is the opportunity to carry out laboratory exercises such as FIR, IIR digital filters and FFT as well as run any executable file developed by the user. In any case the observation of the results is carried out through the use of specially designed Graphical User Interfaces (GUIs.

  20. Remote network control plasma diagnostic system for Tokamak T-10

    Science.gov (United States)

    Troynov, V. I.; Zimin, A. M.; Krupin, V. A.; Notkin, G. E.; Nurgaliev, M. R.

    2016-09-01

    The parameters of molecular plasma in closed magnetic trap is studied in this paper. Using the system of molecular diagnostics, which was designed by the authors on the «Tokamak T-10» facility, the radiation of hydrogen isotopes at the plasma edge is investigated. The scheme of optical radiation registration within visible spectrum is described. For visualization, identification and processing of registered molecular spectra a new software is developed using MatLab environment. The software also includes electronic atlas of electronic-vibrational-rotational transitions for molecules of protium and deuterium. To register radiation from limiter cross-section a network control system is designed using the means of the Internet/Intranet. Remote control system diagram and methods are given. The examples of web-interfaces for working out equipment control scenarios and viewing of results are provided. After test run in Intranet, the remote diagnostic system will be accessible through Internet.

  1. Mobile SIF-application : Cross-platform development of a Xamarin application utilizing data from a SharePoint intranet solution

    OpenAIRE

    Berglind, Raymond; Larsson, Louise

    2016-01-01

    Xamarin, a cross-platform development framework, was used in this project for the development of a proof-of-concept mobile client application for an existing intranet solution. The intranet consists of Microsoft SharePoint components and is a pre-assembled product produced by the requestor of this project; Sogeti. To fetch the intranet’s data, a web API was implemented as an intermediary between the mobile application and the intranet. The Xamarin application targets three different mobile pl...

  2. An Interactive Web-Based Analysis Framework for Remote Sensing Cloud Computing

    Science.gov (United States)

    Wang, X. Z.; Zhang, H. M.; Zhao, J. H.; Lin, Q. H.; Zhou, Y. C.; Li, J. H.

    2015-07-01

    Spatiotemporal data, especially remote sensing data, are widely used in ecological, geographical, agriculture, and military research and applications. With the development of remote sensing technology, more and more remote sensing data are accumulated and stored in the cloud. An effective way for cloud users to access and analyse these massive spatiotemporal data in the web clients becomes an urgent issue. In this paper, we proposed a new scalable, interactive and web-based cloud computing solution for massive remote sensing data analysis. We build a spatiotemporal analysis platform to provide the end-user with a safe and convenient way to access massive remote sensing data stored in the cloud. The lightweight cloud storage system used to store public data and users' private data is constructed based on open source distributed file system. In it, massive remote sensing data are stored as public data, while the intermediate and input data are stored as private data. The elastic, scalable, and flexible cloud computing environment is built using Docker, which is a technology of open-source lightweight cloud computing container in the Linux operating system. In the Docker container, open-source software such as IPython, NumPy, GDAL, and Grass GIS etc., are deployed. Users can write scripts in the IPython Notebook web page through the web browser to process data, and the scripts will be submitted to IPython kernel to be executed. By comparing the performance of remote sensing data analysis tasks executed in Docker container, KVM virtual machines and physical machines respectively, we can conclude that the cloud computing environment built by Docker makes the greatest use of the host system resources, and can handle more concurrent spatial-temporal computing tasks. Docker technology provides resource isolation mechanism in aspects of IO, CPU, and memory etc., which offers security guarantee when processing remote sensing data in the IPython Notebook. Users can write

  3. Yb:YAG Lasers for Space Based Remote Sensing

    Science.gov (United States)

    Ewing, J.J.; Fan, T. Y.

    1998-01-01

    Diode pumped solid state lasers will play a prominent role in future remote sensing missions because of their intrinsic high efficiency and low mass. Applications including altimetry, cloud and aerosol measurement, wind velocity measurement by both coherent and incoherent methods, and species measurements, with appropriate frequency converters, all will benefit from a diode pumped primary laser. To date the "gold standard" diode pumped Nd laser has been the laser of choice for most of these concepts. This paper discusses an alternate 1 micron laser, the YB:YAG laser, and its potential relevance for lidar applications. Conceptual design analysis and, to the extent possible at the time of the conference, preliminary experimental data on the performance of a bread board YB:YAG oscillator will be presented. The paper centers on application of YB:YAG for altimetry, but extension to other applications will be discussed.

  4. SIMON: Remote collaboration system based on large scale simulation

    International Nuclear Information System (INIS)

    Development of SIMON (SImulation MONitoring) system is described. SIMON aims to investigate many physical phenomena of tokamak type nuclear fusion plasma by simulation and to exchange information and to carry out joint researches with scientists in the world using internet. The characteristics of SIMON are followings; 1) decrease load of simulation by trigger sending method, 2) visualization of simulation results and hierarchical structure of analysis, 3) decrease of number of license by using command line when software is used, 4) improvement of support for using network of simulation data output by use of HTML (Hyper Text Markup Language), 5) avoidance of complex built-in work in client part and 6) small-sized and portable software. The visualization method of large scale simulation, remote collaboration system by HTML, trigger sending method, hierarchical analytical method, introduction into three-dimensional electromagnetic transportation code and technologies of SIMON system are explained. (S.Y.)

  5. A web-based remote radiation treatment planning system using the remote desktop function of a computer operating system: a preliminary report.

    Science.gov (United States)

    Suzuki, Keishiro; Hirasawa, Yukinori; Yaegashi, Yuji; Miyamoto, Hideki; Shirato, Hiroki

    2009-01-01

    We developed a web-based, remote radiation treatment planning system which allowed staff at an affiliated hospital to obtain support from a fully staffed central institution. Network security was based on a firewall and a virtual private network (VPN). Client computers were installed at a cancer centre, at a university hospital and at a staff home. We remotely operated the treatment planning computer using the Remote Desktop function built in to the Windows operating system. Except for the initial setup of the VPN router, no special knowledge was needed to operate the remote radiation treatment planning system. There was a time lag that seemed to depend on the volume of data traffic on the Internet, but it did not affect smooth operation. The initial cost and running cost of the system were reasonable.

  6. A Robust and Effective Smart-Card-Based Remote User Authentication Mechanism Using Hash Function

    Science.gov (United States)

    Odelu, Vanga; Goswami, Adrijit

    2014-01-01

    In a remote user authentication scheme, a remote server verifies whether a login user is genuine and trustworthy, and also for mutual authentication purpose a login user validates whether the remote server is genuine and trustworthy. Several remote user authentication schemes using the password, the biometrics, and the smart card have been proposed in the literature. However, most schemes proposed in the literature are either computationally expensive or insecure against several known attacks. In this paper, we aim to propose a new robust and effective password-based remote user authentication scheme using smart card. Our scheme is efficient, because our scheme uses only efficient one-way hash function and bitwise XOR operations. Through the rigorous informal and formal security analysis, we show that our scheme is secure against possible known attacks. We perform the simulation for the formal security analysis using the widely accepted AVISPA (Automated Validation Internet Security Protocols and Applications) tool to ensure that our scheme is secure against passive and active attacks. Furthermore, our scheme supports efficiently the password change phase always locally without contacting the remote server and correctly. In addition, our scheme performs significantly better than other existing schemes in terms of communication, computational overheads, security, and features provided by our scheme. PMID:24892078

  7. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Remote Sensing image fusion is an effective way to use the large volume of data from multi-source images.This paper introduces a new method of remote sensing image fusion based on support vector machine (SVM), using highspatial resolution data SPIN-2 and multi-spectral remote sensing data SPOT-4. Firstly, the new method is established bybuilding a model of remote sensing image fusion based on SVM. Then by using SPIN-2 data and SPOT-4 data, image classification fusion is tested. Finally, an evaluation of the fusion result is made in two ways. 1 ) From subjectivity assessment,the spatial resolution of the fused image is improved compared to the SPOT-4. And it is clearly that the texture of thefused image is distinctive. 2) From quantitative analysis, the effect of classification fusion is better. As a whole, the result shows that the accuracy of image fusion based on SVM is high and the SVM algorithm can be recommended for application in remote sensing image fusion processes.

  8. MULTI—SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

    Institute of Scientific and Technical Information of China (English)

    ZHAOShu-he; FENGXue-zhi; 等

    2002-01-01

    Remote Sensing image fusion is an effective way to use the large volume of data from multi-source images.This paper introduces a new method of remote sensing image fusion based on support vector machine(SVM),using high spatial resolution data SPIN-2 and multi-spectral remote sensing data SPOT-4.Firstly,the new method is established by building a model of remote sensing image fusion based on SVM.Then by using SPIN-2 data and SPOT-4 data ,image classify-cation fusion in tested.Finally,and evaluation of the fusion result is made in two ways.1)From subjectivity assessment,the spatial resolution of the fused image is improved compared to the SPOT-4.And it is clearly that the texture of the fused image is distinctive.2)From quantitative analysis,the effect of classification fusion is better.As a whole ,the re-sult shows that the accuracy of image fusion based on SVM is high and the SVM algorithm can be recommended for applica-tion in remote sensing image fusion processes.

  9. Research on Coal Exploration Technology Based on Satellite Remote Sensing

    Directory of Open Access Journals (Sweden)

    Dong Xiao

    2016-01-01

    Full Text Available Coal is the main source of energy. In China and Vietnam, coal resources are very rich, but the exploration level is relatively low. This is mainly caused by the complicated geological structure, the low efficiency, the related damage, and other bad situations. To this end, we need to make use of some advanced technologies to guarantee the resource exploration is implemented smoothly and orderly. Numerous studies show that remote sensing technology is an effective way in coal exploration and measurement. In this paper, we try to measure the distribution and reserves of open-air coal area through satellite imagery. The satellite picture of open-air coal mining region in Quang Ninh Province of Vietnam was collected as the experimental data. Firstly, the ENVI software is used to eliminate satellite imagery spectral interference. Then, the image classification model is established by the improved ELM algorithm. Finally, the effectiveness of the improved ELM algorithm is verified by using MATLAB simulations. The results show that the accuracies of the testing set reach 96.5%. And it reaches 83% of the image discernment precision compared with the same image from Google.

  10. Estimation of Fractional Vegetation Cover Based on Digital Camera Survey Data and a Remote Sensing Model

    Institute of Scientific and Technical Information of China (English)

    HU Zhen-qi; HE Fen-qin; YIN Jian-zhong; LU Xia; TANG Shi-lu; WANG Lin-lin; LI Xiao-jing

    2007-01-01

    The objective of this paper is to improve the monitoring speed and precision of fractional vegetation cover (fc). It mainly focuses onfc estimation when fcmax andfcmin are not approximately equal to 100% and 0%, respectively due to using remote sensing image with medium or low spatial resolution. Meanwhile, we present a new method offc estimation based on a random set offc maximum and minimum values from digital camera (DC) survey data and a dimidiate pixel model. The results show that this is a convenient, efficient and accurate method forfc monitoring, with the maximum error -0.172 and correlation coefficient of 0.974 between DC survey data and the estimated value of the remote sensing model. The remaining DC survey data can be used as verification data for the precision of thefc estimation. In general, the estimation offc based on DC survey data and a remote sensing model is a brand-new development trend and deserves further extensive utilization.

  11. Dynamic analysis of evapotranspiration based on remote sensing in Yellow River Delta

    Institute of Scientific and Technical Information of China (English)

    PANZhiqiang; LIUGaohuan; ZHOUChenghu

    2003-01-01

    Evapotranspiration (ET) is an important parameter for water resource management. Compared to the traditional ET computation and measurement methods, the ET computation method based on remote sensing has the advantages of quickness, precision, raster mapping and regional scale. SEBAL, an ET computation model using remote sensing method is based on the surface energy balance equation which is a function of net radiance flux, soil heat flux, sensible heat flux and latent heat flux. The former three fluxes can be computed through the parameters retrieved from remote sensing image, then the latent heat flux can be obtained to provide energy for ET. Finally we can obtain the daily ET. In this study SEBAL was applied to compute ET in the Yellow River Delta of China where water resource faces a rigorous situation. Three Landsat TM images and meteorology data of 1999 were used for ET computation, and spatial and temporal change patterns of ET in the Yellow River Delta were analysed.

  12. Research Progress of Farmland Drought Monitoring and Prediction Based on Multi-Source Remote Sensing Data

    Science.gov (United States)

    Yang, Guijun; Yang, Hao; Jin, Xiuliang; Pignatti, Stefano; Casa, Raffaele; Pascucci, Simone; Silvesrtro, Paolo Cosmo

    2014-11-01

    Since the Kick-off of the Dragon-3 project Farmland Drought Monitoring and Prediction Based on Multi-source Remote Sensing Data (ID: 10448), our research focuses on three points including 1) the monitoring of key biophysical variables of crop and soil in farmland drought by optical and radar remote sensing data, 2) the risk assessment of farmland drought by time series remote sensing and meteorological data, and 3) the crop loss evaluation under farmland drought mainly based on AquaCrop crop model. Our study area is mainly located in Beijing, and Shaanxi Province (semi-arid region), China. Experiment campaign and data analysis were carried out and some new methods aiming at farmland drought monitoring and prediction were developed, which highlighting the importance of ESA-NRSCC Dragon cooperation.

  13. Review of Remotely Sensed Imagery Classification Patterns Based on Object-oriented Image Analysis

    Institute of Scientific and Technical Information of China (English)

    LIU Yongxue; LI Manchun; MAO Liang; XU Feifei; HUANG Shuo

    2006-01-01

    With the wide use of high-resolution remotely sensed imagery, the object-oriented remotely sensed information classification pattern has been intensively studied. Starting with the definition of object-oriented remotely sensed information classification pattern and a literature review of related research progress, this paper sums up 4 developing phases of object-oriented classification pattern during the past 20 years. Then, we discuss the three aspects of methodology in detail, namely remotely sensed imagery segmentation, feature analysis and feature selection, and classification rule generation, through comparing them with remotely sensed information classification method based on per-pixel. At last, this paper presents several points that need to be paid attention to in the future studies on object-oriented RS information classification pattern: 1) developing robust and highly effective image segmentation algorithm for multi-spectral RS imagery; 2) improving the feature-set including edge, spatial-adjacent and temporal characteristics; 3) discussing the classification rule generation classifier based on the decision tree; 4) presenting evaluation methods for classification result by object-oriented classification pattern.

  14. Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling.

    Science.gov (United States)

    Walz, Yvonne; Wegmann, Martin; Leutner, Benjamin; Dech, Stefan; Vounatsou, Penelope; N'Goran, Eliézer K; Raso, Giovanna; Utzinger, Jürg

    2015-01-01

    Schistosomiasis is a widespread water-based disease that puts close to 800 million people at risk of infection with more than 250 million infected, mainly in sub-Saharan Africa. Transmission is governed by the spatial distribution of specific freshwater snails that act as intermediate hosts and the frequency, duration and extent of human bodies exposed to infested water sources during human water contact. Remote sensing data have been utilized for spatially explicit risk profiling of schistosomiasis. Since schistosomiasis risk profiling based on remote sensing data inherits a conceptual drawback if school-based disease prevalence data are directly related to the remote sensing measurements extracted at the location of the school, because the disease transmission usually does not exactly occur at the school, we took the local environment around the schools into account by explicitly linking ecologically relevant environmental information of potential disease transmission sites to survey measurements of disease prevalence. Our models were validated at two sites with different landscapes in Côte d'Ivoire using high- and moderate-resolution remote sensing data based on random forest and partial least squares regression. We found that the ecologically relevant modelling approach explained up to 70% of the variation in Schistosoma infection prevalence and performed better compared to a purely pixel-based modelling approach. Furthermore, our study showed that model performance increased as a function of enlarging the school catchment area, confirming the hypothesis that suitable environments for schistosomiasis transmission rarely occur at the location of survey measurements.

  15. Remote CT reading using an ultramobile PC and web-based remote viewing over a wireless network.

    Science.gov (United States)

    Choi, Hyuk Joong; Lee, Jeong Hun; Kang, Bo Seung

    2012-01-01

    We developed a new type of mobile teleradiology system using an ultramobile PC (UMPC) for web-based remote viewing over a wireless network. We assessed the diagnostic performance of this system for abdominal CT interpretation. Performance was compared with an emergency department clinical monitor using a DICOM viewer. A total of 100 abdominal CT examinations were presented to four observers. There were 56 examinations showing appendicitis and 44 which were normal. The observers viewed the images using a UMPC display and an LCD monitor and rated each examination on a five-point scale. Receiver operating characteristics (ROC) analysis was used to test for differences. The sensitivity and specificities of all observers were similarly high. The average area under the ROC curve for readings performed on the UMPC and the LCD monitor was 0.959 and 0.976, respectively. There were no significant differences between the two display systems for interpreting abdominal CTs. The web-based mobile teleradiology system appears to be feasible for reading abdominal CTs for diagnosing appendicitis and may be valuable in emergency teleconsultation.

  16. Observer based output feedback tuning for underwater remotely operated vehicle based on linear quadratic performance

    Science.gov (United States)

    Aras, Mohd Shahrieel Mohd; Abdullah, Shahrum Shah; Kamarudin, Muhammad Nizam; Rahman, Ahmad Fadzli Nizam Abdul; Azis, Fadilah Abd; Jaafar, Hazriq Izzuan

    2015-05-01

    This paper describes the effectiveness of observer-based output feedback for Unmanned Underwater Vehicle (UUV) with Linear Quadratic Regulation (LQR) performance. Tuning of observer parameters is crucial for tracking purpose. Prior to tuning facility, the ranges of observer and LQR parameters are obtained via system output cum error. The validation of this technique using unmanned underwater vehicles called Remotely Operated Vehicle (ROV) modelling helps to improve steady state performance of system response. The ROV modeling is focused for depth control using ROV 1 developed by the Underwater Technology Research Group (UTeRG). The results are showing that this technique improves steady state performances in term of overshoot and settling time of the system response.

  17. IRISS '98: The Intranet as a Learning Tool: A Preliminary Study

    Directory of Open Access Journals (Sweden)

    K. J. Garland

    1998-01-01

    Full Text Available Using the World Wide Web (WWW as an interactive educative tool is still a relatively new concept, and little is known of its impact on learning when it is used as a dynamic learning tool. Despite this the use of educational internet sites, in the form of virtual classrooms and courses, appears to be increasing rapidly. Thus, it is important that their ability to facilitate learning is evaluated. We present the findings of a preliminary study which examined the amount, type and quality of leaning of an undergraduate indroductory history course when presented to three different groups of participants. All participants received four regularly spaced 30 minute study and repeated test sessions over an eight day period. A final test of new questions was also administered at the end of the study. Results showed that the amount of historical knowledge acquired by the end of the study was greatest for those paticpants who learnt using traditional methods, and that over the four test sessions this group consistently outperformed both computer groups. Moreover, the way in which knowledge was acquired was qualitatively different in the groups with the traditional group exhibiting more 'Know' responses while the Intranet group exhibited more 'Remember' responses. Finally, using useability questionnaires, we found that participants preferred learning via traditional methods to screen and Intranet presentations, and that participants who had learnt using computers felt that their learning experience had suffered. These findings have important implications for educators, and others who wish to use the Internet as a training tool, and we discuss our findings through the evaluation of the different presentational media used, specific Intranet design criteria and general usability factors, which, we suggest, are of paramount importance.

  18. Security Design of Remote Maintenance Systems for Nuclear Power Plants Based on ISO/IEC 15408

    Science.gov (United States)

    Watabe, Ryosuke; Oi, Tadashi; Endo, Yoshio

    This paper presents a security design of remote maintenance systems for nuclear power plants. Based on ISO/IEC 15408, we list assets to be protected, threats to the assets, security objectives against the threats, and security functional requirements that achieve the security objectives. Also, we show relations between the threats and the security objectives, and relations between the security objectives and the security functional requirements. As a result, we concretize a necessary and sufficient security design of remote maintenance systems for nuclear power plants that can protect the instrumentation and control system against intrusion, impersonation, tapping, obstruction and destruction.

  19. An on-line remote supervisory system for microparticles based on image analysis

    Science.gov (United States)

    Liu, Wei-Hua; Jiang, Ming-Shun; Sui, Qing-Mei

    2011-11-01

    A new on-line remote particle analysis system based on image processing has been developed to measure microparticles. The system is composed of particle collector sensor (PCS), particle image sensor (PIS), image remote transmit module and image processing system. Then some details of image processing are discussed. The main advantage of this system is more convenient in particle sample collection and particle image acquisition. The particle size can be obtained using the system with a deviation abot less than 1 μm, and the particle number can be obtained without deviation. The developed system is also convenient and versatile for other analyses of microparticle for academic and industrial application.

  20. Remote radiation sensing module based on a silicon photomultiplier for industrial applications.

    Science.gov (United States)

    Park, Hye Min; Joo, Koan Sik

    2016-09-01

    We have designed a silicon-photomultiplier-based remote radiation-sensing module consisting of a master port (displaying radiation information) and a slave port (detects radiation, transmits to master). The master port merges radiation and dose values and displays them. Counting detection efficiency and radiation response simulated using MCNPX were used to calibrate the module. We performed radioactive source tests ((137)Cs, (22)Na, (60)Co, (55)Fe) and compared experimental and simulation results. Remote detection capability was demonstrated and the detection accuracy was determined. Applications abound in the radioactivity industry. PMID:27295513

  1. Methods for Enhancing Geological Structures in Spectral Spatial Difference-Based on Remote-Sensing Image

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    @@In this paper, some image processing methods such as directional template (mask) matching enhancement, pseudocolor or false color enhancement, K-L transform enhancement are used to enhance a geological structure, one of important ore-controlling factors, shown in the remote-sensing images.This geological structure is regarded as image anomaly in the remote-sensing image, since considerable differences, based on the spatial spectral distribution pattern, in gray values (spectral), color tones and texture, are always present between the geological structure and background. Therefore,the enhancement of the geological structure in the remotesensing image is that of the spectral spatial difference.

  2. Red Tide Information Extraction Based on Multi-source Remote Sensing Data in Haizhou Bay

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    [Objective] The aim was to extract red tide information in Haizhou Bay on the basis of multi-source remote sensing data.[Method] Red tide in Haizhou Bay was studied based on multi-source remote sensing data,such as IRS-P6 data on October 8,2005,Landsat 5-TM data on May 20,2006,MODIS 1B data on October 6,2006 and HY-1B second-grade data on April 22,2009,which were firstly preprocessed through geometric correction,atmospheric correction,image resizing and so on.At the same time,the synchronous environment mon...

  3. Deformable mirror based remote focusing for fast three-dimensional microscopy

    Science.gov (United States)

    Zurauskas, Mantas; Frade, Maria; Booth, Martin

    2016-03-01

    We present a deformable mirror based remote focusing method for three-dimensional imaging in high-resolution microscopy systems. The method relies on predefined mirror mode arrays that are obtained during initial mirror training step with a low complexity wavefront-sensing module. The imaging plane can be refocused over distances over a hundred times greater than the original depth of field of the objective lens along the optical axis at millisecond rates. We will demonstrate the combination of the remote focusing method with spatiotemporally focused two-photon excitation applied to three-dimensional imaging of biological samples.

  4. Flexible Wing Base Micro Aerial Vehicles: Micro Air Vehicles (MAVs) for Surveillance and Remote Sensor Delivery

    Science.gov (United States)

    Ifju, Peter

    2002-01-01

    Micro Air Vehicles (MAVs) will be developed for tracking individuals, locating terrorist threats, and delivering remote sensors, for surveillance and chemical/biological agent detection. The tasks are: (1) Develop robust MAV platform capable of carrying sensor payload. (2) Develop fully autonomous capabilities for delivery of sensors to remote and distant locations. The current capabilities and accomplishments are: (1) Operational electric (inaudible) 6-inch MAVs with novel flexible wing, providing superior aerodynamic efficiency and control. (2) Vision-based flight stability and control (from on-board cameras).

  5. Towards Competence-Based Learning Design Driven Remote and Virtual Labs Recommendations for Science Teachers

    Science.gov (United States)

    Zervas, Panagiotis; Sergis, Stylianos; Sampson, Demetrios G.; Fyskilis, Stefanos

    2015-01-01

    Remote and virtual labs (RVLs) are widely used by science education teachers in their daily teaching practice. This has led to a plethora of RVLs that are offered with or without cost. In order to organise them and facilitate their search and findability, several RVL web-based repositories have been operated. As a result, a key open challenge is…

  6. Ground-based remote sensing scheme for monitoring aerosol-cloud interactions

    NARCIS (Netherlands)

    Sarna, K.; Russchenberg, H.W.J.

    2016-01-01

    A new method for continuous observation of aerosol–cloud interactions with ground-based remote sensing instruments is presented. The main goal of this method is to enable the monitoring of the change of the cloud droplet size due to the change in the aerosol concentration. We use high-resolution mea

  7. Ground-based remote sensing scheme for monitoring aerosol–cloud interactions (discussion)

    NARCIS (Netherlands)

    Sarna, K.; Russchenberg, H.W.J.

    2015-01-01

    A method for continuous observation of aerosol–cloud interactions with ground-based remote sensing instruments is presented. The main goal of this method is to enable the monitoring of cloud microphysical changes due to the changing aerosol concentration. We use high resolution measurements from lid

  8. Retrieval of liquid water cloud properties from ground-based remote sensing observations

    NARCIS (Netherlands)

    Knist, C.L.

    2014-01-01

    Accurate ground-based remotely sensed microphysical and optical properties of liquid water clouds are essential references to validate satellite-observed cloud properties and to improve cloud parameterizations in weather and climate models. This requires the evaluation of algorithms for retrieval of

  9. Wireless Remote Monitoring of Glucose Using a Functionalized ZnO Nanowire Arrays Based Sensor

    Directory of Open Access Journals (Sweden)

    Magnus Willander

    2011-08-01

    Full Text Available This paper presents a prototype wireless remote glucose monitoring system interfaced with a ZnO nanowire arrays-based glucose sensor, glucose oxidase enzyme immobilized onto ZnO nanowires in conjunction with a Nafion® membrane coating, which can be effectively applied for the monitoring of glucose levels in diabetics. Global System for Mobile Communications (GSM services like General Packet Radio Service (GPRS and Short Message Service (SMS have been proven to be logical and cost effective methods for gathering data from remote locations. A communication protocol that facilitates remote data collection using SMS has been utilized for monitoring a patient’s sugar levels. In this study, we demonstrate the remote monitoring of the glucose levels with existing GPRS/GSM network infra-structures using our proposed functionalized ZnO nanowire arrays sensors integrated with standard readily available mobile phones. The data can be used for centralized monitoring and other purposes. Such applications can reduce health care costs and allow caregivers to monitor and support to their patients remotely, especially those located in rural areas.

  10. Computer-based remote diabetes education for school personnel.

    Science.gov (United States)

    Radjenovic, D; Wallace, F L

    2001-01-01

    Teachers are expected to respond quickly and accurately to any diabetes incident that may occur to children in the school setting. Access to diabetes information is crucial for student safety, health, academic achievement, and social competence. This paper describes a technique to provide Web-based diabetes information using computer audio and video to enrich a text-based training experience. Two groups of teachers were presented with diabetes training material via either paper or a Web-based computer system. Both groups were then evaluated for diabetes knowledge and satisfaction. Subjects using the Web-based system had significantly (t = 2.22; p distance education is a viable and desirable alternative to paper-based diabetes education. PMID:11911172

  11. [A method of object detection for remote sensing-imagery based on spectral space transformation].

    Science.gov (United States)

    Wu, Gui-Ping; Xiao, Peng-Feng; Feng, Xue-Zhi; Wang, Ke

    2013-03-01

    Object detection is an intermediate link for remote sensing image processing, which is an important guarantee of remote sensing application and services aspects. In view of the characteristics of remotely sensed imagery in frequency domain, a novel object detection algorithm based on spectral space transformation was proposed in the present paper. Firstly, the Fourier transformation method was applied to transform the image in spatial domain into frequency domain. Secondly, the wedge-shaped sample and overlay analysis methods for frequency energy were used to decompose signal into different frequency spectrum zones, and the center frequency values of object's features were acquired as detection marks in frequency domain. Finally, object information was detected with the matched Gabor filters which have direction and frequency selectivity. The results indicate that the proposed algorithm here performs better and it has good detection capability in specific direction as well.

  12. Scene Classification of Remote Sensing Image Based on Multi-scale Feature and Deep Neural Network

    Directory of Open Access Journals (Sweden)

    XU Suhui

    2016-07-01

    Full Text Available Aiming at low precision of remote sensing image scene classification owing to small sample sizes, a new classification approach is proposed based on multi-scale deep convolutional neural network (MS-DCNN, which is composed of nonsubsampled Contourlet transform (NSCT, deep convolutional neural network (DCNN, and multiple-kernel support vector machine (MKSVM. Firstly, remote sensing image multi-scale decomposition is conducted via NSCT. Secondly, the decomposing high frequency and low frequency subbands are trained by DCNN to obtain image features in different scales. Finally, MKSVM is adopted to integrate multi-scale image features and implement remote sensing image scene classification. The experiment results in the standard image classification data sets indicate that the proposed approach obtains great classification effect due to combining the recognition superiority to different scenes of low frequency and high frequency subbands.

  13. Prototyping of Remote Experiment and Exercise Systems for an Engineering Education based on World Wide Web

    Science.gov (United States)

    Iwatsuki, Masami; Kato, Yoriyuki; Yonekawa, Akira

    State-of-the-art Internet technologies allow us to provide advanced and interactive distance education services. However, we could not help but gather students for experiments and exercises in an education for engineering because large-scale equipments and expensive software are required. On the other hand, teleoperation systems with robot manipulator or vehicle via Internet have been developed in the field of robotics. By fusing these two techniques, we can realize remote experiment and exercise systems for the engineering education based on World Wide Web. This paper presents how to construct the remote environment that allows students to take courses on experiment and exercise independently of their locations. By using the proposed system, users can exercise and practice remotely about control of a manipulator and a robot vehicle and programming of image processing.

  14. Time-bin-encoding-based remote states generation of nitrogen-vacancy centers through noisy channels

    Institute of Scientific and Technical Information of China (English)

    苏石磊; 陈丽; 郭奇; 王洪福; 朱爱东; 张寿

    2015-01-01

    We design proposals to generate remote Greenberger–Horne–Zeilinger (GHZ) state and W state of nitrogen-vacancy (NV) centers coupled to microtoroidal resonators (MTRs) through noisy channels by utilizing the time-bin encoding pro-cesses and fast-optical-switch-based polarization rotation operations. The polarization and phase noise induced by noisy channels generally affect the time of state generation but not its success probability and fidelity. Besides, the above pro-posals can be generalized to n-qubit between two or among n remote nodes with success probability unity under ideal conditions. Furthermore, the proposals are robust for regular noise-changeable channels for the n-node case. This method is also useful in other remote quantum information processing tasks through noisy channels.

  15. ‘Baseline-offset’ scheme for a methane remote sensor based on wavelength modulation spectroscopy

    Science.gov (United States)

    Ding, Wuwen; Sun, Liqun; Yi, Luying; Zhang, Enyao

    2016-08-01

    A new scheme for methane remote sensing is presented. Unlike a standard published remote sensor based on wavelength modulation spectroscopy (WMS), a reference cell is inserted into the measuring optical path. This scheme inherits the merits of WMS and can achieve high signal-to-noise ratio especially in a low concentration environment. Experimental results show that the presented remote sensor can detect ambient methane with a detection limit of 5 ppm m (parts per million · meter) at a distance of 10 m and 16 ppm m for 20 m. A methane leak test shows the sensor can detect a methane leak of 15 ml min-1 within a range up to 37 m.

  16. A New Remote Monitoring System Application in Laser Power Based on LabVIEW

    Directory of Open Access Journals (Sweden)

    Liu Gaoqiang

    2016-01-01

    Full Text Available In this paper, a new remote monitoring system based on LabVIEW was proposed to measure laser power automatically and remotely. This system consists of four basic components: an DH-JG2 optical power meter, a NI-USB 6008 data acquisition card, a personal computer (PC, and HP laserJet 1020 Plus printer. Since power output of laser is generally so unstable that abnormal work situation could not retroaction to inspectors right away, new system was designed to solve this problem. The detection system realized function of remote control by TCP protocol and mobile phone. Laser power curve that is measured by detection system demonstrated that the design has a good performance in real-time detection and operability.

  17. Graphene based Photonics Devices for Remote Sensing Applications Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Develop scalable graphene-based bolometer technology. Use low pressure chemical vapor deposition (LPCVD) technique to grow large area graphene. Develop a process to...

  18. A Secured and Improved Dynamic ID based Remote User Authentication Scheme using Smart Card and Hash Function for Distributed Systems

    Directory of Open Access Journals (Sweden)

    S.Ramesh

    2014-08-01

    Full Text Available Authentication is a major concern for accessing remote service residing over on server in an distributed systems. It is difficult to remember different identities and passwords for users. In order to solve the flaws encountered in many remote user authentication schemes in multi-server environment, only authentic user login to the remote server has been used. These remote schemes resist various attacks and have some weakness. Leu and Hsieh proposed an efficient and secure dynamic ID based remote user authentication for distributed environment using smart cards but is vulnerable to impersonation attack, leak verifier attack, stolen smart card attack. We propose a strong authentication scheme with user anonymity and secured dynamic ID based remote user authentication using smart cards that remove aforementioned weakness in distributed systems. The function and performance efficiency of our scheme was analysed and proved to provide a strong mutual authentication between user and server when compared with the existing methods.

  19. CROPCAST - A Review Of An Existing Remote Sensor-Based Agricultural Information System With A View Toward Future Remote Sensor Applications

    Science.gov (United States)

    Merritt, Earl S.; Heitkemper, Lawrence; Marcus, Kevin

    1984-08-01

    Global agricultural production information is the key to many economic decisions. National level planners use it to plan imports or to assess balance of payments, farmers use it to make planting decisions, lending and aid institutions use it to plan loans and aid needs, commodity buyers use it to plan purchases. Traditional information systems are slow, offer little confidence and may be inaccurate; systems based on the use of space remote sensor systems are, on the other hand, fast, provide good confidence and are demonstrating improving accuracies. The system structure for remote sensor assisted agricultural information systems is centered on a geobased structure, mapped outputs pinpoint locations where plant stress is impacting yields. Meteorological satellite assessments pinpoint where rainfall and significant solar radiation is impacting the plant environment. The CROPCAST Agricultural Information System offers an opportunity to examine an operating system which contains characteristics essential to all future systems. CROPCAST's use of a grid/cell geobased structure provides a mechanism to effectively use remote-sensor derived data of all types, i.e., Landsats, metsats, aircraft and human eyeball derived data. Predictive models operating in CROPCAST provide updated agricultural assessments in the time intervals when no Landsat or other field observation data are available. Economic models provide the opportunity to merge CROPCAST diagnostic and predictive output with the market place at both the cash and futures level. This presentation will examine the CROPCAST structure as a model for future uses of remote sensing data from civil remote sensing systems in assessing global agricultural production. A review of the future direction to be taken by the CROPCAST System will be included to identify new avenues for remote sensor-based agricultural information system growth over the coming decade of change in remote sensor systems.

  20. Development of Remote Monitoring and a Control System Based on PLC and WebAccess for Learning Mechatronics

    OpenAIRE

    Wen-Jye Shyr; Te-Jen Su; Chia-Ming Lin

    2013-01-01

    This study develops a novel method for learning mechatronics using remote monitoring and control, based on a programmable logic controller (PLC) and WebAccess. A mechatronics module, a Web‐CAM and a PLC were integrated with WebAccess software to organize a remote laboratory. The proposed system enables users to access the Internet for remote monitoring and control of the mechatronics module via a web browser, thereby enhancing work flexibility by enabling personnel to control mechatronics equ...

  1. AN INTERACTIVE WEB-BASED ANALYSIS FRAMEWORK FOR REMOTE SENSING CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    X. Z. Wang

    2015-07-01

    Full Text Available Spatiotemporal data, especially remote sensing data, are widely used in ecological, geographical, agriculture, and military research and applications. With the development of remote sensing technology, more and more remote sensing data are accumulated and stored in the cloud. An effective way for cloud users to access and analyse these massive spatiotemporal data in the web clients becomes an urgent issue. In this paper, we proposed a new scalable, interactive and web-based cloud computing solution for massive remote sensing data analysis. We build a spatiotemporal analysis platform to provide the end-user with a safe and convenient way to access massive remote sensing data stored in the cloud. The lightweight cloud storage system used to store public data and users’ private data is constructed based on open source distributed file system. In it, massive remote sensing data are stored as public data, while the intermediate and input data are stored as private data. The elastic, scalable, and flexible cloud computing environment is built using Docker, which is a technology of open-source lightweight cloud computing container in the Linux operating system. In the Docker container, open-source software such as IPython, NumPy, GDAL, and Grass GIS etc., are deployed. Users can write scripts in the IPython Notebook web page through the web browser to process data, and the scripts will be submitted to IPython kernel to be executed. By comparing the performance of remote sensing data analysis tasks executed in Docker container, KVM virtual machines and physical machines respectively, we can conclude that the cloud computing environment built by Docker makes the greatest use of the host system resources, and can handle more concurrent spatial-temporal computing tasks. Docker technology provides resource isolation mechanism in aspects of IO, CPU, and memory etc., which offers security guarantee when processing remote sensing data in the IPython Notebook

  2. Establishment of Winter Wheat Regional Simulation Model Based on Remote Sensing Data and Its Application

    Institute of Scientific and Technical Information of China (English)

    MA Yuping; WANG Shili; ZHANG Li; HOU Yingyu; ZHUANG Liwei; WANG Futang

    2006-01-01

    Accurate crop growth monitoring and yield forecasting are significant to the food security and the sus tainable development of agriculture. Crop yield estimation by remote sensing and crop growth simulation models have highly potential application in crop growth monitoring and yield forecasting. However, both of them have limitations in mechanism and regional application, respectively. Therefore, approach and methodology study on the combination of remote sensing data and crop growth simulation models are con cerned by many researchers. In this paper, adjusted and regionalized WOFOST (World Food Study) in North China and Scattering by Arbitrarily Inclined Leaves-a model of leaf optical PROperties SPECTra (SAIL-PROSFPECT) were coupled through LAI to simulate Soil Adjusted Vegetation Index (SAVI) of crop canopy, by which crop model was re-initialized by minimizing differences between simulated and synthesized SAVI from remote sensing data using an optimization software (FSEOPT). Thus, a regional remote-sensing crop-simulation-framework-model (WSPFRS) was established under potential production level (optimal soil water condition). The results were as follows: after re-initializing regional emergence date by using remote sensing data, anthesis, and maturity dates simulated by WSPFRS model were more close to measured values than simulated results of WOFOST; by re-initializing regional biomass weight at turn-green stage, the spa tial distribution of simulated storage organ weight was more consistent with measured yields and the area with high values was nearly consistent with actual high yield area. This research is a basis for developing regional crop model in water stress production level based on remote sensing data.

  3. VOICE AND DATA APPLICATIONS IN DIFFERENTIATED SERVICE INTRANETS

    Directory of Open Access Journals (Sweden)

    M. Angulo-Bernal

    2004-04-01

    Full Text Available One of the options that telephonic systems have, in order to optimize the required bandwidth, is to migrate tostatistical multiplexing systems. These multiplexing schemes also allow the convergence with current datacommunications systems. This work is based on the interconnection of telephonic systems through the datanetwork using digitalization and voice compression techniques. The optimization of the resources is achievedusing the voice compression standard of 8 kbps instead of the 64 kbps standard, thus introducing differentiatedservices in IP networks. The performance of the voice packets is improved in terms of delay and packet losses. Theresults presented here obtained by means of computer simulations using COMNET. Real telephonic trafficinformation acquired for several months at the UABC was used. This allowed the consideration of effects such as:busy hours and variable call duration. The performance of the system was evaluated, obtaining very satisfactoryresults in terms of resources utilization.

  4. A model-based performance test for forest classifiers on remote-sensing imagery

    OpenAIRE

    Couturier, Stéphane; Gastellu-Etchegorry, Jean-Philippe; Patino, P.; Martin, Emmanuel

    2009-01-01

    Ambiguity between forest types on remote-sensing imagery is a major cause of errors found in accuracy assessments of forest inventorymaps. This paper presents a methodology, based on forest plot inventory, ground measurements and simulated imagery, for systematically quantifying these ambiguities in the sense of the minimum distance (MD), maximum likelihood (ML), and frequency-based (FB) classifiers. The method is tested with multi-spectral IKONOS images acquired on areas containing six major...

  5. Human-factors-based implementation of the remote characterization system high-level control station

    International Nuclear Information System (INIS)

    The detection and characterization of buried objects and materials is an important first step in the restoration of the numerous US Department of Energy (DOE) and US Department of Defense waste disposal sites. DOE, through its Environmental Restoration and Waste Management Robotics and Technology Development Program, has developed the Remote Characterization System (RCS) to address the needs of remote subsurfacecharacterization. The RCS consists of a low-metal-content (low-metallic-signature) remotely piloted vehicle, a high-level control station (HLCS) where operators can remotely control the vehicle and analyze real-time data from sensors, and an array of sensors that can be chosen to meet the survey task at hand. Communication between the vehicle and the base station is handled by a radio link. Site mapping is made possible through the use of geopositioning satellite data. The primary mode of vehicle operation is teleoperation, but provision has been made for semiautonomous or supervisory control that allows for automated sitesurvey on simple sites. Data analysis and display is supported for both real-time observation and postprocessing of data. The particular emphasis of this paper documents the human-factors-based design influences on the HLCS and describes the design in detail

  6. [An operational remote sensing algorithm of land surface evapotranspiration based on NOAA PAL dataset].

    Science.gov (United States)

    Hou, Ying-Yu; He, Yan-Bo; Wang, Jian-Lin; Tian, Guo-Liang

    2009-10-01

    Based on the time series 10-day composite NOAA Pathfinder AVHRR Land (PAL) dataset (8 km x 8 km), and by using land surface energy balance equation and "VI-Ts" (vegetation index-land surface temperature) method, a new algorithm of land surface evapotranspiration (ET) was constructed. This new algorithm did not need the support from meteorological observation data, and all of its parameters and variables were directly inversed or derived from remote sensing data. A widely accepted ET model of remote sensing, i. e., SEBS model, was chosen to validate the new algorithm. The validation test showed that both the ET and its seasonal variation trend estimated by SEBS model and our new algorithm accorded well, suggesting that the ET estimated from the new algorithm was reliable, being able to reflect the actual land surface ET. The new ET algorithm of remote sensing was practical and operational, which offered a new approach to study the spatiotemporal variation of ET in continental scale and global scale based on the long-term time series satellite remote sensing images. PMID:20077694

  7. An Adaptive Web-Based Learning Environment for the Application of Remote Sensing in Schools

    Science.gov (United States)

    Wolf, N.; Fuchsgruber, V.; Riembauer, G.; Siegmund, A.

    2016-06-01

    Satellite images have great educational potential for teaching on environmental issues and can promote the motivation of young people to enter careers in natural science and technology. Due to the importance and ubiquity of remote sensing in science, industry and the public, the use of satellite imagery has been included into many school curricular in Germany. However, its implementation into school practice is still hesitant, mainly due to lack of teachers' know-how and education materials that align with the curricula. In the project "Space4Geography" a web-based learning platform is developed with the aim to facilitate the application of satellite imagery in secondary school teaching and to foster effective student learning experiences in geography and other related subjects in an interdisciplinary way. The platform features ten learning modules demonstrating the exemplary application of original high spatial resolution remote sensing data (RapidEye and TerraSAR-X) to examine current environmental issues such as droughts, deforestation and urban sprawl. In this way, students will be introduced into the versatile applications of spaceborne earth observation and geospatial technologies. The integrated web-based remote sensing software "BLIF" equips the students with a toolset to explore, process and analyze the satellite images, thereby fostering the competence of students to work on geographical and environmental questions without requiring prior knowledge of remote sensing. This contribution presents the educational concept of the learning environment and its realization by the example of the learning module "Deforestation of the rainforest in Brasil".

  8. A Remote Temperature Monitoring System Based on GSM

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    <正>This paper has discussed the home and abroad’s current situation of temperature monitoring system and compared the advantages and disadvantages of several common methods.According to cold storage,container, medicines library and greenhouse’s requirements on temperature,this thesis has analyzed the advantages and significance of the system and elaborated each module’s function and implementation based on hardware and software’s introduction and demonstrated the pictures of its practical application and the alarm information saved in the SD card which extracted from the database.

  9. Remote Sensing Image Resolution Enlargement Algorithm Based on Wavelet Transformation

    Directory of Open Access Journals (Sweden)

    Samiul Azam

    2014-05-01

    Full Text Available In this paper, we present a new image resolution enhancement algorithm based on cycle spinning and stationary wavelet subband padding. The proposed technique or algorithm uses stationary wavelet transformation (SWT to decompose the low resolution (LR image into frequency subbands. All these frequency subbands are interpolated using either bicubic or lanczos interpolation, and these interpolated subbands are put into inverse SWT process for generating intermediate high resolution (HR image. Finally, cycle spinning (CS is applied on this intermediate high resolution image for reducing blocking artifacts, followed by, traditional Laplacian sharpening filter is used to make the generated high resolution image sharper. This new technique has been tested on several satellite images. Experimental result shows that the proposed technique outperforms the conventional and the state-of-the-art techniques in terms of peak signal to noise ratio, root mean square error, entropy, as well as, visual perspective.

  10. Cryptanalysis And Further Improvement Of A Biometric-Based Remote User Authentication Scheme Using Smart Cards

    Directory of Open Access Journals (Sweden)

    Ashok Kumar Das

    2011-03-01

    Full Text Available Recently, Li et al. proposed a secure biometric-based remote user authentication scheme using smartcards to withstand the security flaws of Li-Hwang’s efficient biometric-based remote user authenticationscheme using smart cards. Li et al.’s scheme is based on biometrics verification, smart card and one-wayhash function, and it also uses the random nonce rather than a synchronized clock, and thus it is efficientin computational cost and more secure than Li-Hwang’s scheme. Unfortunately, in this paper we showthat Li et al.’s scheme still has some security weaknesses in their design. In order to withstand thoseweaknesses in their scheme, we further propose an improvement of their scheme so that the improvedscheme always provides proper authentication and as a result, it establishes a session key between theuser and the server at the end of successful user authentication.

  11. Cryptanalysis And Further Improvement Of A Biometric-Based Remote User Authentication Scheme Using Smart Cards

    CERN Document Server

    Das, Ashok Kumar

    2011-01-01

    Recently, Li et al. proposed a secure biometric-based remote user authentication scheme using smart cards to withstand the security flaws of Li-Hwang's efficient biometric-based remote user authentication scheme using smart cards. Li et al.'s scheme is based on biometrics verification, smart card and one-way hash function, and it also uses the random nonce rather than a synchronized clock, and thus it is efficient in computational cost and more secure than Li-Hwang's scheme. Unfortunately, in this paper we show that Li et al.'s scheme still has some security weaknesses in their design. In order to withstand those weaknesses in their scheme, we further propose an improvement of their scheme so that the improved scheme always provides proper authentication and as a result, it establishes a session key between the user and the server at the end of successful user authentication.

  12. Study on remote monitoring system for landslide hazard based on Wireless Sensor Network and its application

    Institute of Scientific and Technical Information of China (English)

    GUI Yang; TAO Zhi-gang; WANG Chang-jun; XIE Xing

    2011-01-01

    Based on Beidou satellite communication platform,sliding force remote monitoring and warning system was widely used in Lingbao Luoshan gold ore,which had achieved remarkable social and economical benefits.However,there is one monitoring point at every 1 000 m2,and their distribution is so discrete that it will no doubt increase construction and operation cost if every monitoring point was installed a Beidou subscriber machine.Therefore,based on Zigbee wireless sensor network technology,network structure and the nodes,embed wireless sensor node in remote monitoring and warning system,a base platform of local wireless sensor network is formed,and it can combine punctiform monitoring information with planar network and transmit concentrated information through Beidou satellite terminal machine; as a result,this largely expands the transmission distance of monitoring data.

  13. A remote sensing model for monitoring soil evaporation based on differential thermal inertia and its validation

    Institute of Scientific and Technical Information of China (English)

    张仁华; 孙晓敏; 朱治林; 苏红波; 唐新斋

    2003-01-01

    The presently applied remote sensing algorithms and approaches to monitor soil surface fluxes are reviewed at the beginning of this paper, and the bottleneck of the estimation of soil surface fluxes lies in the dependence on non remotely sensed parameters (NRSP). A soil surface evaporation model based on differential thermal inertia, only using remotely sensed information, has thus been proposed after many experiments. The key of the model is to derive soil moisture availability by differential thermal inertia rather than local soil parameters such as soil properties and type. Bowen ratio is estimated by means of soil moisture availability instead of NRSP, such as temperature and wind velocity. Net radiation flux and apparent thermal inertia have been used for soil heat flux parameterization, therefore, the objective of evaporation (latent heat flux) inversion for bare soil only by remotely sensed information can be realized. Two NOAA-AVHRR five-band images, taken at Shapotou northwest of China when soil surface temperature approximated to the highest and lowest of the region, were applied in combination with the ground surface information measured synchronously. The distribution of soil evaporation in Shapotou could be determined. Model verification has been performed between the measured soil surface evaporation and the corresponding calculated value of the images, and the result has proved model to be feasible. Finally, the possible errors and further modifications when applying model to fulling vegetation canopy have been discussed.

  14. Fiber-optic sensor-based remote acoustic emission measurement of composites

    Science.gov (United States)

    Yu, Fengming; Okabe, Yoji; Wu, Qi; Shigeta, Naoki

    2016-10-01

    Acoustic emission (AE) detection functioning at high temperatures could clarify the damage process in high heat-resistant composites. To achieve the high-temperature AE detection, a remote AE measurement based on a phase-shifted fiber Bragg grating (PS-FBG) sensor with a high sensitivity over a broad bandwidth was proposed. The common optical fibers were made from glass with good heat resistance. Hence, in this method, optical fiber was used as the waveguide to propagate the AE in the composite from a high-temperature environment to the room-temperature environment wherein the PS-FBG was located. Owing to the special AE detection configuration, this method was a new adhesive method for remote measurement (ADRM). The experiment and numerical simulation revealed that the PS-FBG sensor in the ADRM configuration demonstrated accurate remote sensing for the AE signals. This was because of the good waveguide system provided by the thin optical fiber and the sensitivity of the PS-FBG sensor to the axial strain in the core of the fiber. Consequently, the remote measurement utilizing the PS-FBG sensor in the ADRM configuration has a high potential for AE detection in high-temperature conditions.

  15. A remote sensing-based irrigation performance assessment: a case study of the Office du Niger in Mali

    NARCIS (Netherlands)

    Zwart, S.J.; Leclert, L.M.C.

    2009-01-01

    The irrigation performance of the Office du Niger in Mali, a large-scale rice-based irrigation scheme, was analysed with the use of remote sensing technology. The major advantage of remote sensing derived data over field measured data is that it provides system-wide, spatially distributed and object

  16. Effects of remote feedback in home-based physical activity interventions for older adults : A systematic review

    NARCIS (Netherlands)

    Geraedts, Hilde; Zijlstra, Agnes; Bulstra, Sjoerd K.; Stevens, Martin; Zijlstra, Wiebren

    2013-01-01

    Objective: To evaluate the literature on effectiveness of remote feedback on physical activity and capacity in home-based physical activity interventions for older adults with or without medical conditions. In addition, the effect of remote feedback on adherence was inventoried. Methods: A systemati

  17. Environmental monitoring based on automatic change detection from remotely sensed data: kernel-based approach

    Science.gov (United States)

    Shah-Hosseini, Reza; Homayouni, Saeid; Safari, Abdolreza

    2015-01-01

    In the event of a natural disaster, such as a flood or earthquake, using fast and efficient methods for estimating the extent of the damage is critical. Automatic change mapping and estimating are important in order to monitor environmental changes, e.g., deforestation. Traditional change detection (CD) approaches are time consuming, user dependent, and strongly influenced by noise and/or complex spectral classes in a region. Change maps obtained by these methods usually suffer from isolated changed pixels and have low accuracy. To deal with this, an automatic CD framework-which is based on the integration of change vector analysis (CVA) technique, kernel-based C-means clustering (KCMC), and kernel-based minimum distance (KBMD) classifier-is proposed. In parallel with the proposed algorithm, a support vector machine (SVM) CD method is presented and analyzed. In the first step, a differential image is generated via two approaches in high dimensional Hilbert space. Next, by using CVA and automatically determining a threshold, the pseudo-training samples of the change and no-change classes are extracted. These training samples are used for determining the initial value of KCMC parameters and training the SVM-based CD method. Then optimizing a cost function with the nature of geometrical and spectral similarity in the kernel space is employed in order to estimate the KCMC parameters and to select the precise training samples. These training samples are used to train the KBMD classifier. Last, the class label of each unknown pixel is determined using the KBMD classifier and SVM-based CD method. In order to evaluate the efficiency of the proposed algorithm for various remote sensing images and applications, two different datasets acquired by Quickbird and Landsat TM/ETM+ are used. The results show a good flexibility and effectiveness of this automatic CD method for environmental change monitoring. In addition, the comparative analysis of results from the proposed method

  18. Study of Remote Monitoring and Maintenance Guiding Technique Based on LabVIEW for Machining Centers

    Institute of Scientific and Technical Information of China (English)

    JIA Zhi-cheng; HU Zhong-xiang; SHI Xiao-jun

    2005-01-01

    The virtual instruments (VIs), as a new type of instrument based on computer, has many advanced attractive characteristics.This research is based on VIs, and brings condition monitoring and knowledge-based maintenance support together through an integrated (including Intemet, ASP. NET, XML technique,VIs) network environment. Within the environment, machining centers operators, engineers or managers can share real-time data through the browser-based interface and minimize machining centers downtime by providing status monitoring and remote maintenance guiding from service centers.

  19. HTTP-based remote operational options for the Vacuum Tower Telescope, Tenerife

    Science.gov (United States)

    Staiger, J.

    2012-09-01

    We are currently developing network based tools for the Vacuum Tower Telescope (VTT), Tenerife which will allow to operate the telescope together with the newly developed 2D-spectrometer HELLRIDE under remote control conditions. The computational configuration can be viewed as a distributed system linking hardware components of various functionality from different locations. We have developed a communication protocol which is basically an extension of the HTTP standard. It will serve as a carrier for command- and data-transfers. The server-client software is based on Berkley-Unix sockets in a C++ programming environment. A customized CMS will allow to create browser accessible information on-the-fly. Java-based applet pages have been tested as optional user access GUI's. An access tool has been implemented to download near-realtime, web-based target information from NASA/SDO. Latency tests have been carried out at the VTT and the Swedish STT at La Palma for concept verification. Short response times indicate that under favorable network conditions remote interactive telescope handling may be possible. The scientific focus of possible future remote operations will be set on the helioseismology of the solar atmosphere, the monitoring of flares and the footpoint analysis of coronal loops and chromospheric events.

  20. A Low-Cost Remote Healthcare Monitor System Based on Embedded Server

    Directory of Open Access Journals (Sweden)

    He Liu

    2013-04-01

    Full Text Available In the paper, we propose a scheme about a low-cost remote healthcare monitor system based on embedded server between home and hospital. In the scheme, we design an embedded server based on an ARM9 microprocessor. The embedded server supplies all kinds of interfaces such as GPIO interfaces, serial interfaces. These interfaces can acquire all kinds of physiology signals such as Electrocardiograph, heart rate, respiration wave, blood pressure, oxygen saturation, body temperature and so on through connecting the sensor modules. The network is based on local area network and adopts the Browser/Server model. Each home with an embedded server is as a server endpoint and the hospital is as a Browser endpoint. Every embedded server owns an independent static internet protocol address. The doctors can easily acquire patients’ physiology information through writing patients’ internet protocol address on any computer browser. The embedded server can store patients’ physiology information using database in an 8 GB SD card. The doctor can download the database information into the local computers. The system can conveniently upgrade all software in the embedded server only on a remote hospital computer. The remote healthcare monitor system based on embedded server has advantages of low-cost, convenience and feasibility.

  1. Kuntaseiskan intranet

    OpenAIRE

    Hanninen, Tarja

    2007-01-01

    Tämän opinnäytetyön tavoitteena oli selvittää, onko Kouvolan seudun kunnilla (Kouvola, Kuusankoski, Valkeala, Anjalankoski, Elimäki, Iitti ja Jaala) yhteisen intranetin tarvetta tutkimalla ko. kuntien intranetien tämänhetkistä tilannetta. Tutkimuksen viitekehyksen muodostavat julkishallinnossa käynnissä olevat kehittämisprojektit, verkkoviestinnän kirjallisuuslähteet ja muissa kunnissa jo käytössä olevien useamman kunnan yhteisten introjen käyttökokemukset ja kehittämistoiveet. Tutkimuksessa ...

  2. Study on the Consultation Mechanism of an Internet-Based Remote Fault Diagnosis System

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Aimed at the deficiency of the mechanism of management and consultation, an idea of an internet-based Virtual Diagnosis Center (VDC) for machine fault is proposed, and the key elements of remote consultation are abstracted. Around the key elements, the construct scheme and cooperative mechanism among experts of VDC are designed. According to the diagnosed object, the context knowledge of a fault machine, fault cases and ActiveX-based analysis tools are integrated into a multimedia consultation environment in VDC to enhance the efficiency of expert consultation. Simultaneously, the technique of push subscription in a SQL Server is utilized to collect machine condition data in an enterprise machine condition database, which ensures the security of the database. The VDC system in Xi'an Jiaotong University has been applied to remote diagnosis of a blower in Wuhan Iron and Steel Corporation and the system construction reasonableness and the running stability are verified.

  3. Security risk assessment model in intranet%内网安全风险评估模型

    Institute of Scientific and Technical Information of China (English)

    沈瑞雪; 姚国祥; 官全龙

    2011-01-01

    针对内网安全评估问题构建了内网安全风险评估的系统模型.该模型采用的是基于模糊综合评价的评估方法,并在此基础上重点讨论了基于聚类分析的风险分类方法,其摒弃了传统标准分类的主观方法,对大量客观实验数据进行聚类分析,使风险的分类更具客观性.同时,在评估过程中利用信息熵原理确定各风险因素的权重系数,避免直接赋值的主观性,从而使风险评估的整个过程更加客观,评估结果更加准确.%An security risk assessment model in Intranet is established, because of the network assessment problems. It is implemented with the assessment method, which is based on fuzzy comprehensive evaluation. And on this basis, the risk classification based on cluster analysis method which abandoned the traditional methods is mainly researched and the risk based on clustering analysis method is discussed, so that risk assessment is more objective. Meanwhile, in the evaluation process using the information entropy theory to determine the weight coefficient of risk factors, avoid the subjectivity of direct assignment, thus make the whole process of assessment of the risks more objective and results more accurate.

  4. Edge detection of remote sensing image based on nonlinear intensity of curved surface

    Institute of Scientific and Technical Information of China (English)

    张连蓬; 刘国林; 江涛

    2003-01-01

    A new edge detector based on the nonlinear intensity of curved surface was proposed. The edge detector describes the largest curvature and the smallest curvature of curved surface, therefore it can reflect the real largest direction of image edge jump. By the new edge detector, it is convenient to calculate the curvature in any direction of the curved surface and the curvature can be used in the identification of edge direction and the feature extraction of objects on remote sensing image.

  5. Remote Detection of Xenon-based Molecular Sensors and the Development of Novel Paramagnetic Agents

    OpenAIRE

    Smith, Monica A.

    2012-01-01

    Applications of laser-polarized xenon nuclear magnetic resonance (NMR) spectroscopy and imaging have grown in number due to the exceptional sensitivity of xenon to its local environment. When paired with microfluidic technology, xenon-based molecular sensors (XBMS) have the potential to be used in a broad range of applications from medical devices to geochemistry. Detection of XBMS on a microfluidic chip requires remote detection NMR methodology, where the encoding and detection of aqueous...

  6. Ground-based remote sensing of tropospheric water vapour isotopologues within the project MUSICA

    Directory of Open Access Journals (Sweden)

    M. Schneider

    2012-08-01

    Full Text Available Within the project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water, long-term tropospheric water vapour isotopologues data records are provided for ten globally distributed ground-based mid-infrared remote sensing stations of the NDACC (Network for the Detection of Atmospheric Composition Change. We present a new method allowing for an extensive and straightforward characterisation of the complex nature of such isotopologue remote sensing datasets. We demonstrate that the MUSICA humidity profiles are representative for most of the troposphere with a vertical resolution ranging from about 2 km (in the lower troposphere to 8 km (in the upper troposphere and with an estimated precision of better than 10%. We find that the sensitivity with respect to the isotopologue composition is limited to the lower and middle troposphere, whereby we estimate a precision of about 30‰ for the ratio between the two isotopologues HD16O and H216O. The measurement noise, the applied atmospheric temperature profiles, the uncertainty in the spectral baseline, and interferences from humidity are the leading error sources. We introduce an a posteriori correction method of the humidity interference error and we recommend applying it for isotopologue ratio remote sensing datasets in general. In addition, we present mid-infrared CO2 retrievals and use them for demonstrating the MUSICA network-wide data consistency.

    In order to indicate the potential of long-term isotopologue remote sensing data if provided with a well-documented quality, we present a climatology and compare it to simulations of an isotope incorporated AGCM (Atmospheric General Circulation Model. We identify differences in the multi-year mean and seasonal cycles that significantly exceed the estimated errors, thereby indicating deficits in the modeled atmospheric water cycle.

  7. Ground-based remote sensing of tropospheric water vapour isotopologues within the project MUSICA

    Science.gov (United States)

    Schneider, M.; Barthlott, S.; Hase, F.; González, Y.; Yoshimura, K.; García, O. E.; Sepúlveda, E.; Gomez-Pelaez, A.; Gisi, M.; Kohlhepp, R.; Dohe, S.; Blumenstock, T.; Wiegele, A.; Christner, E.; Strong, K.; Weaver, D.; Palm, M.; Deutscher, N. M.; Warneke, T.; Notholt, J.; Lejeune, B.; Demoulin, P.; Jones, N.; Griffith, D. W. T.; Smale, D.; Robinson, J.

    2012-12-01

    Within the project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water), long-term tropospheric water vapour isotopologue data records are provided for ten globally distributed ground-based mid-infrared remote sensing stations of the NDACC (Network for the Detection of Atmospheric Composition Change). We present a new method allowing for an extensive and straightforward characterisation of the complex nature of such isotopologue remote sensing datasets. We demonstrate that the MUSICA humidity profiles are representative for most of the troposphere with a vertical resolution ranging from about 2 km (in the lower troposphere) to 8 km (in the upper troposphere) and with an estimated precision of better than 10%. We find that the sensitivity with respect to the isotopologue composition is limited to the lower and middle troposphere, whereby we estimate a precision of about 30‰ for the ratio between the two isotopologues HD16O and H216O. The measurement noise, the applied atmospheric temperature profiles, the uncertainty in the spectral baseline, and the cross-dependence on humidity are the leading error sources. We introduce an a posteriori correction method of the cross-dependence on humidity, and we recommend applying it to isotopologue ratio remote sensing datasets in general. In addition, we present mid-infrared CO2 retrievals and use them for demonstrating the MUSICA network-wide data consistency. In order to indicate the potential of long-term isotopologue remote sensing data if provided with a well-documented quality, we present a climatology and compare it to simulations of an isotope incorporated AGCM (Atmospheric General Circulation Model). We identify differences in the multi-year mean and seasonal cycles that significantly exceed the estimated errors, thereby indicating deficits in the modeled atmospheric water cycle.

  8. Ground-based remote sensing of tropospheric water vapour isotopologues within the project MUSICA

    Directory of Open Access Journals (Sweden)

    M. Schneider

    2012-12-01

    Full Text Available Within the project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water, long-term tropospheric water vapour isotopologue data records are provided for ten globally distributed ground-based mid-infrared remote sensing stations of the NDACC (Network for the Detection of Atmospheric Composition Change. We present a new method allowing for an extensive and straightforward characterisation of the complex nature of such isotopologue remote sensing datasets. We demonstrate that the MUSICA humidity profiles are representative for most of the troposphere with a vertical resolution ranging from about 2 km (in the lower troposphere to 8 km (in the upper troposphere and with an estimated precision of better than 10%. We find that the sensitivity with respect to the isotopologue composition is limited to the lower and middle troposphere, whereby we estimate a precision of about 30‰ for the ratio between the two isotopologues HD16O and H216O. The measurement noise, the applied atmospheric temperature profiles, the uncertainty in the spectral baseline, and the cross-dependence on humidity are the leading error sources. We introduce an a posteriori correction method of the cross-dependence on humidity, and we recommend applying it to isotopologue ratio remote sensing datasets in general. In addition, we present mid-infrared CO2 retrievals and use them for demonstrating the MUSICA network-wide data consistency. In order to indicate the potential of long-term isotopologue remote sensing data if provided with a well-documented quality, we present a climatology and compare it to simulations of an isotope incorporated AGCM (Atmospheric General Circulation Model. We identify differences in the multi-year mean and seasonal cycles that significantly exceed the estimated errors, thereby indicating deficits in the modeled atmospheric water cycle.

  9. PENERAPAN TEKNOLOGI VOIP UNTUK MENGOPTIMALKAN PENGGUNAAN JARINGAN INTRANET KAMPUS UNIVERSITAS UDAYANA

    Directory of Open Access Journals (Sweden)

    Pande Ketut Sudiarta

    2009-12-01

    Full Text Available Jaringan intranet Universitas Udayana telah menghubungkan ketiga lokasi kampus, yaitu Kampus Bukit, Kampus Sudirman, dan Kampus Nias.  Lokasi kampus yang terpisah-pisah dan kampus Bukit yang memiliki area yang cukup luas memerlukan prasarana teleponi yang memadai.  Selama ini, komunikasi teleponi masih memanfaatkan provider seperti PT Telkom, walaupun komunikasi telepon hanya untuk komunikasi antar fakultas atau antar fakultas dengan rektorat di area kampus bukit.  Demikian juga untuk komunikasi telepon antar lokasi kampus yang berbeda. Walaupun beberapa fakultas dan juga gedung Rektorat memiliki perangkat PABX namun keberadaan kebanyakan hanya melayani komunikasi dalam satu gedung saja.  Pemanfaatan intranet kampus UNUD baru dimanfaatkan untuk akses Internet, akses Sistem Informasi dan untuk videoconference. Dengan beban trafik yang ada, jaringan intranet masih memungkinkan untuk dibebani dengan trafik yang lebih tinggi. Dengan demikian, untuk mengoptimalkan pemanfaatan bandwith,  diupayakan dengan mengembangakan sistem teleponi berbasis VoIP yang memanfaatkan infrastruktur yang ada. Tujuan yang ingin dicapai adalah menyediakan fasilitas telepon internal kampus yang tidak berbayar. Melalui teknologi VoIP ini,  komunikasi dapat dilakukan dengan beberapa cara baik menggunakan telepon analog maupun softphone yang dapat diinstall di masing-masing PC atau laptop. Hal ini nanti tentu akan memberikan efisiensi waktu bagi civitas karena mudah dihubungi dan secara langsung akan berdampak pada efisiensi biaya telekomunikasi di kampus. Infrastruktur yang dikembangkan menggunakan protokol SIP memanfaatkan Free Software Linux Fedora sebagai Operating System, Asterisk dan Ondo sebagai aplikasi server.  Di sisi pemakai, perangkat telepon dapat menggunakan dua model, pertama menggunakan softphone  yang ditujukan untuk personal dengan memanfaatkan nomor induk pegawai (NIP atau nomor induk mahasiswa (NIM sebagai nomor telepon. Model telepon ini aksesnya

  10. Gestión, mejora e implantación de la Intranet Corporativa de Sanitas Residencial mediante SharePoint 2010

    OpenAIRE

    González Carreño, Pedro

    2015-01-01

    Mediante la gestión, mejora e implantación de la Intranet Corporativa de Sanitas Residencial a través de SharePoint 2010, el presente proyecto real pretende mejorar la actual Intranet existente en la empresa. Ésta se dedica a la gestión de centros residenciales geriátricos en toda España. Para un total de cuarenta centros, dispone de una Intranet en la que los empleados comparten información y utilizan flujos de trabajo necesarios para su trabajo diario. El principal...

  11. Solid-State, High Energy 2-Micron Laser Development for Space-Based Remote Sensing

    Science.gov (United States)

    Singh, Upendra N.

    2010-01-01

    Lidar (light detection and ranging) remote sensing enjoys the advantages of excellent vertical and horizontal resolution; pointing capability; a signal source independent from natural light; and control and knowledge of transmitted wavelength, pulse shape, and polarization and received polarization. Lidar in space is an emerging technology now being developing to fit applications where passive sensors cannot meet current measurement requirements. Technical requirements for space lidar are more demanding than for ground-based or airborne systems. Perhaps the most distinguishing characteristics of space lidars are the environmental requirements. Space lidar systems must be specially designed to survive the mechanical vibration loads of launch and operate in the vacuum of space where exposure to ionizing radiation limits the electronic components available. Finally, space lidars must be designed to be highly reliable because they must operate without the need for repair or adjustment. Lifetime requirements tend to be important drivers of the overall system design. The maturity of the required technologies is a key to the development of any space lidar system. NASA entered a new era in the 1990 s with the approval of several space-based remote sensing missions employing laser radar (lidar) techniques. Following the steps of passive remote sensing and then active radar remote sensing, lidar sensors were a logical next step, providing independence from natural light sources, and better spatial resolution and smaller sensor size than radar sensors. The shorter electromagnetic wavelengths of laser light also allowed signal reflectance from air molecules and aerosol particles. The smaller receiver apertures allowed the concept of scanning the sensor field of view. However, technical problems with several space-based lidar missions during that decade led to concern at NASA about the risk of lidar missions. An external panel was convened to make recommendations to NASA. Their

  12. Aerosol-cloud interactions (ACI) viewed by satellite and ground-based remote sensing

    Science.gov (United States)

    Kim, Yoo-Jun; Kim, Byung-Gon

    2013-05-01

    Various aerosol and cloud microphysical properties have been compared and examined for several years using ground-based remote sensing data from Atmospheric Radiation Measurement (ARM), which showed that the clouds with strong above-cloud inversions are more immune to variations in the meteorological environment and the associated aerosol-cloud interactions appear to be more dominant in nearly adiabatic clouds by comparing different environmental conditions. Meanwhile, MODIS (Moderate-Resolution Imaging Spectroradiometer) and NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research) reanalysis data from 2001 to 2008 have been analysed to understand long-term aerosol and cloud optical properties, and their relationships in East Asia. Specifically only relationships between aerosol optical depth (AOD) and cloud fraction (CF) for the low-level liquid-phase clouds exhibit the overall positive correlation, being consistent with cloud lifetime effect. The results imply that ground-based remote sensing is probably better for the study of aerosol-cloud microphysical interactions, whereas satellite remote sensing is more appropriate for the study of aerosol and cloud macroscopic interactions.

  13. Distributed Storage Cluster Design for Remote Mirroring Based on Storage Area Network

    Institute of Scientific and Technical Information of China (English)

    Jun Yao; Ji-Wu Shu; Wei-Min Zheng

    2007-01-01

    With the explosion of information nowadays, applying data storage safety requirements has become a new challenge, especially in high data available cluster environments. With the emergence of Storage Area Networks (SANs), storage can be network-based and consolidated, and mass data movements via Fiber Channels (FCs) can be of very high speed. Based on these features, this paper introduces a dual-node storage cluster designed for remote mirroring as a concurrent data replication method to protect data during system failures. This design takes full advantage of a SAN system's benefits, and it adopts a synchronous protocol to guarantee a fully up-to-date data copy on the remote site. By developing a Linux kernel module to control the I/O flow and by using the technologies of software Logic Unit Number (LUN) masking, background online resynchronization and a self-management daemon, we have achieved a reliable mirroring system with the characteristics of server-free data replication, fault tolerance, online disaster recovery and high performance. In this study, we implemented the design in a remote mirror subsystem built on a software Fiber Channel Storage Area Network (FC-SAN) system.

  14. A data-distributed parallel algorithm for wavelet-based fusion of remote sensing images

    Institute of Scientific and Technical Information of China (English)

    YANG Xuejun; WANG Panfeng; DU Yunfei; ZHOU Haifang

    2007-01-01

    With the increasing importance of multiplatform remote sensing missions,the fast integration or fusion of digital images from disparate sources has become critical to the success of these endeavors.In this paper,to speed up the fusion process,a Data-distributed Parallel Algorithm for wavelet-based Fusion (DPAF for short) of remote sensing images which are not geo-registered remote sensing images is presented for the first time.To overcome the limitations on memory space as well as the computing capability of a single processor,data distribution,data-parallel processing and load balancing techniques are integrated into DPAF.To avoid the inherent communication overhead of a wavelet-based fusion method,a special design called redundant partitioning is used,which is inspired by the characteristics of wavelet transform.Finally,DPAF is evaluated in theory and tested on a 32-CPU cluster of workstations.The experimental results show that our algorithm has good parallel performance and scalability.

  15. Remote heartbeat signal detection from visible spectrum recordings based on blind deconvolution

    Science.gov (United States)

    Kaur, Balvinder; Moses, Sophia; Luthra, Megha; Ikonomidou, Vasiliki N.

    2016-05-01

    While recent advances have shown that it is possible to acquire a signal equivalent to the heartbeat from visual spectrum video recordings of the human skin, extracting the heartbeat's exact timing information from it, for the purpose of heart rate variability analysis, remains a challenge. In this paper, we explore two novel methods to estimate the remote cardiac signal peak positions, aiming at a close representation of the R-peaks of the ECG signal. The first method is based on curve fitting (CF) using a modified filtered least mean square (LMS) optimization and the second method is based on system estimation using blind deconvolution (BDC). To prove the efficacy of the developed algorithms, we compared results obtained with the ground truth (ECG) signal. Both methods achieved a low relative error between the peaks of the two signals. This work, performed under an IRB approved protocol, provides initial proof that blind deconvolution techniques can be used to estimate timing information of the cardiac signal closely correlated to the one obtained by traditional ECG. The results show promise for further development of a remote sensing of cardiac signals for the purpose of remote vital sign and stress detection for medical, security, military and civilian applications.

  16. Realization on the interactive remote video conference system based on multi-Agent

    Directory of Open Access Journals (Sweden)

    Zheng Yan

    2016-01-01

    Full Text Available To make people at different places participate in the same conference, speak and discuss freely, the interactive remote video conferencing system is designed and realized based on multi-Agent collaboration. FEC (forward error correction and tree P2P technology are firstly used to build a live conference structure to transfer audio and video data; then the branch conference port can participate to speak and discuss through the application of becoming a interactive focus; the introduction of multi-Agent collaboration technology improve the system robustness. The experiments showed that, under normal network conditions, the system can support 350 branch conference node simultaneously to make live broadcasting. The audio and video quality is smooth. It can carry out large-scale remote video conference.

  17. An on-line remote supervisory system for microparticles based on image analysis

    Institute of Scientific and Technical Information of China (English)

    LIU Wei-hua; JIANG Ming-shun; SUI Qing-mei

    2011-01-01

    A new on-line remote particle analysis system based on image processing has been developed to measure microparticles.The system is composed of particle collector sensor (PCS),particle image sensor (PIS),image remote wansmit module and image processing system.Then some details of image processing are discussed.The main advantage of this system is more convenient in particle sample collection and particle image acquisition.The particle size can be obtained using the system with a deviation abot less than 1 μm,and the particle number can be obtained without deviation,The developed system is also convenient and versatile for other analyses of microparticle for academic and industrial application.

  18. Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

    Institute of Scientific and Technical Information of China (English)

    WANG Jing; TANG Jilong; LIU Jibin; REN Chunying; LIU Xiangnan; FENG Jiang

    2009-01-01

    Remote sensing image segmentation is the basis of image understanding and analysis. However, the precision and the speed of segmentation can not meet the need of image analysis, due to strong uncertainty and rich texture details of remote sensing images. We proposed a new segmentation method based on Adaptive Genetic Algorithm (AGA) and Alternative Fuzzy C-Means (AFCM). Segmentation thresholds were identified by AGA. Then the image was segmented by AFCM. The results indicate that the precision and the speed of segmentation have been greatly increased, and the accuracy of threshold selection is much higher compared with traditional Otsu and Fuzzy C-Means (FCM) segmentation methods. The segmentation results also show that multi-thresholds segmentation has been achieved by combining AGA with AFCM.

  19. SHALLOW SEAWATER DEPTH RETRIEVAL BASED ON BOTTOM CLASSIFICATION FROM REMOTE SENSING IMAGERY

    Institute of Scientific and Technical Information of China (English)

    PANG Lei; ZHANG Ming-bo; ZHANG Ji-xian; ZHENG Zhao-qing; LIN Zong-jian

    2004-01-01

    Remote sensing technique,replacing conventional sonar bathymetry technique,has become an effective complementary method of mapping submarine terrain where special conditions make the sonar technique difficult to be carried out.At the same time,as one kind of data set,multispectral remote sensing data has the disadvantage of being influenced by the variable bottom types in shallow seawater,when it is applied in bathymetry.This paper puts forward a new method to extract water depth information from multispectral data,considering the bottom classification and the true water depth accuracy.That is the Principal Component Analysis (PCA) technique based on the bottom classification.By the least square regression with significance,the experiment near Qingdao City has obtained more satisfactory bathymetry accuracy than that of the traditional single-band method,with the mean absolute error about 2.57m.

  20. A Review of Semantic Network based System Architecture for Remote Medical Applications: Efficacy & Applicability

    Directory of Open Access Journals (Sweden)

    Onkar S Kemkar

    2012-07-01

    Full Text Available Nowadays, the evolution of wireless communication and network technologies enables remote medical services to be available everywhere in the world. In this paper, a semantic network-based system architecture adopting wireless personal area network, body area network (BAN protocol and 3G communication networks for remote medical applications is proposed. In the proposed system, the number and type of medical sensors are scalable depending on individual needs. This feature allows the system to be flexibly applied in several medical applications. Furthermore, a differentiated service using priority scheduling and data compression is introduced. This scheme can not only reduce transmission delay for critical physiological signals and enhance bandwidth utilization at the same time, but also decrease power consumption of the hand-held personal server. Our research combines ubiquitous computing with mobile health technology. We use wireless sensors and smart phones to monitor the wellbeing of high risk patients.

  1. A Web-Based System for Remote Data Browsing in HT-7 Tokamak

    Institute of Scientific and Technical Information of China (English)

    Cheng Ting; Luo Jiarong; Meng Yuedong; Wang Huazhong

    2005-01-01

    HT-7 is the first superconducting tokamak device for fusion research in China. Many experiments have been performed on the HT-7 tokamak since 1994 with numerous satisfactory results achieved in the fusion research field. As more and better communication is required with other fusion research laboratories, remote access to experimental data is becoming increasingly important in order to raise the degree of openness of experiments and to expand research results.The web-based remote data browsing system enables authorized users in geographically different locations to view and search for experimental data without having to install any utility software at their terminals. The three-tier software architecture and thin client technology are used to operate the system effectively. This paper describes the structure of the system and the realization of its functions, focusing on three main points: the communication between the participating tiers, the data structure of the system and the visualization of the raw data on web pages.

  2. Remote operation of robotics systems using WLAN- and CORBA-based architecture

    Science.gov (United States)

    Tikanmaki, Antti; Riekki, Jukka P.; Roning, Juha

    2003-10-01

    Our work describes generic solutions for controlling various different robots through IEEE 802.11b Wireless LAN. Our goals have been to develop a remote-operating architecture for robots with different configurations of sensors and actuators, as well as, controlling multiple robots through a wireless network. Our earlier development work on network-distributed control architecture for mobile robots provides a suitable platform for remote operation. In CORBA based architecture, new sensors or actuators, and new automatic functionality are easy to append. In addition to functionality, we have been developing user interfaces that contain generally useful components for multiple purposes and a possibility to control different shapes of robots and multiple robots at the same time. As a basic idea, the user interface should always be easily customizable, platform portable and require only a minimum amount of installation packages.

  3. The orthorectified technology for UAV aerial remote sensing image based on the Programmable GPU

    International Nuclear Information System (INIS)

    Considering the time requirements of the disaster emergency aerial remote sensing data acquisition and processing, this paper introduced the GPU parallel processing in orthorectification algorithm. Meanwhile, our experiments verified the correctness and feasibility of CUDA parallel processing algorithm, and the algorithm can effectively solve the problem of calculation large, time-consuming for ortho rectification process, realized fast processing of UAV airborne remote sensing image orthorectification based on GPU. The experimental results indicate that using the assumption of same accuracy of proposed method with CPU, the processing time is reduced obviously, maximum acceleration can reach more than 12 times, which greatly enhances the emergency surveying and mapping processing of rapid reaction rate, and has a broad application

  4. REMOTE, a Wireless Sensor Network Based System to Monitor Rowing Performance

    Directory of Open Access Journals (Sweden)

    Jordi Llosa

    2009-09-01

    Full Text Available In this paper, we take a hard look at the performance of REMOTE, a sensor network based application that provides a detailed picture of a boat movement, individual rower performance, or his/her performance compared with other crew members. The application analyzes data gathered with a WSN strategically deployed over a boat to obtain information on the boat and oar movements. Functionalities of REMOTE are compared to those of RowX [1] outdoor instrument, a commercial wired sensor instrument designed for similar purposes. This study demonstrates that with smart geometrical configuration of the sensors, rotation and translation of the oars and boat can be obtained. Three different tests are performed: laboratory calibration allows us to become familiar with the accelerometer readings and validate the theory, ergometer tests which help us to set the acquisition parameters, and on boat tests shows the application potential of this technologies in sports.

  5. Design and development of microblaze processor based Remote Terminal Units for Fast Breeder Reactors

    International Nuclear Information System (INIS)

    Remote Terminal Units (RTUs) are single board remote data acquisition and control systems that are widely used in FBRs during all states of plant operation. Distributed Digital Control System (DDCS) architecture is being followed for the plant control and operation, which mandates the need for multiple sockets support in TCPIP Ethernet communication in an embedded system. Existing RTUs are 89C51 microcontroller based systems where the TCPIP communication is done using Wiznet Module. These modules can support maximum of four sockets and are already obsolete from the market. In this paper a new RTU design is described where the complete digital logic of a board is implemented in one single FPGA device using Soft-core processor and EMAC controller with multiple socket support for the Ethernet communication. This makes design more reliable and immune to obsolescence. (author)

  6. AN ADAPTIVE WEB-BASED LEARNING ENVIRONMENT FOR THE APPLICATION OF REMOTE SENSING IN SCHOOLS

    Directory of Open Access Journals (Sweden)

    N. Wolf

    2016-06-01

    Full Text Available Satellite images have great educational potential for teaching on environmental issues and can promote the motivation of young people to enter careers in natural science and technology. Due to the importance and ubiquity of remote sensing in science, industry and the public, the use of satellite imagery has been included into many school curricular in Germany. However, its implementation into school practice is still hesitant, mainly due to lack of teachers’ know-how and education materials that align with the curricula. In the project “Space4Geography” a web-based learning platform is developed with the aim to facilitate the application of satellite imagery in secondary school teaching and to foster effective student learning experiences in geography and other related subjects in an interdisciplinary way. The platform features ten learning modules demonstrating the exemplary application of original high spatial resolution remote sensing data (RapidEye and TerraSAR-X to examine current environmental issues such as droughts, deforestation and urban sprawl. In this way, students will be introduced into the versatile applications of spaceborne earth observation and geospatial technologies. The integrated web-based remote sensing software “BLIF” equips the students with a toolset to explore, process and analyze the satellite images, thereby fostering the competence of students to work on geographical and environmental questions without requiring prior knowledge of remote sensing. This contribution presents the educational concept of the learning environment and its realization by the example of the learning module “Deforestation of the rainforest in Brasil”.

  7. Determining suitability of Large Aperture Scintillometer for validating remote sensing based evapotranspiration maps

    Science.gov (United States)

    Paul, G.; Gowda, P. H.; Howell, T. A.; Basu, S.; Colaizzi, P. D.; Marek, T.

    2013-12-01

    Scintillation method is a relatively new technique for measuring the sensible heat and water fluxes over land surfaces. Path integrating capabilities of scintillometer over heterogeneous landscapes make it a potential tool for comparing the energy fluxes derived from remote sensing based energy balance algorithms. For this reason, scintillometer-derived evapotranspiration (ET) fluxes are being used to evaluate remote sensing based energy balance algorithms for their ability to estimate ET fluxes. However, LAS' (Large Aperture Scintillometer) ability to derive ET fluxes is not thoroughly tested. The objective of this study was to evaluate LAS- and Surface Energy Balance System (SEBS)-derived fluxes against lysimetric data to determine LAS' suitability for validating remote sensing based evapotranspiration (ET) maps. The study was conducted during the Bushland Evapotranspiration and Agricultural Remote sensing EXperiment - 2008 (BEAREX-08) at the USDA-ARS Conservation and Production Research Laboratory (CPRL), Bushland, Texas. SEBS was coded in a GIS environment to retrieve ET fluxes from the high resolution imageries acquired using airborne multispectral sensors. The CPRL has four large weighing lysimeters (3 m long x 3 m wide x 2.4 m deep), each located in the middle of approximately 5 ha fields, arranged in a block pattern. The two lysimeter fields located on the east (NE and SE) were managed under irrigated conditions, and the other two lysimeters on the west (NW and SW) were under dryland management. Each lysimeter field was equipped with an automated weather station that provided measurements for net radiation (Rn), Ts, soil heat flux (Go), Ta, relative humidity, and wind speed. During BEAREX08, the NE and SE fields were planted to cotton on May 21, and the NW and SW dryland lysimeters fields were planted to cotton on June 5. One LAS each was deployed across two large dryland lysimeter fields (NW and SW) and two large irrigated lysimeter fields (NE and SE). The

  8. Information Extraction of High-Resolution Remotely Sensed Image Based on Multiresolution Segmentation

    Directory of Open Access Journals (Sweden)

    Peng Shao

    2014-08-01

    Full Text Available The principle of multiresolution segmentation was represented in detail in this study, and the canny algorithm was applied for edge-detection of a remotely sensed image based on this principle. The target image was divided into regions based on object-oriented multiresolution segmentation and edge-detection. Furthermore, object hierarchy was created, and a series of features (water bodies, vegetation, roads, residential areas, bare land and other information were extracted by the spectral and geometrical features. The results indicate that the edge-detection has a positive effect on multiresolution segmentation, and overall accuracy of information extraction reaches to 94.6% by the confusion matrix.

  9. Road Extraction from High-resolution Remote Sensing Images Based on Multiple Information Fusion

    Directory of Open Access Journals (Sweden)

    LI Xiao-feng

    2016-02-01

    Full Text Available Road extraction from high-resolution remote sensing images has been considered to be a significant but very difficult task.Especially the spectrum of some buildings is similar with that of roads,which makes the surfaces being connect with each other after classification and difficult to be distinguished.Based on the cooperation between road surfaces and edges,this paper presents an approach to purify roads from high-resolution remote sensing images.Firstly,we try to improve the extraction accuracy of road surfaces and edges respectively.The logic cooperation between these two binary images is used to separate road and non-road objects.Then the road objects are confirmed by the cooperation between surfaces and edges.And the effective shape indices(e.g.polar moment of inertia and narrow extent index are applied to eliminate non-road objects.So the road information is refined.The experiments indicate that the proposed approach is efficient for eliminating non-road information and extracting road information from high-resolution remote sensing image.

  10. Silk-based resorbable electronic devices for remotely controlled therapy and in vivo infection abatement

    Science.gov (United States)

    Tao, Hu; Hwang, Suk-Won; Marelli, Benedetto; An, Bo; Moreau, Jodie E.; Yang, Miaomiao; Brenckle, Mark A.; Kim, Stanley; Kaplan, David L.; Rogers, John A.; Omenetto, Fiorenzo G.

    2014-01-01

    A paradigm shift for implantable medical devices lies at the confluence between regenerative medicine, where materials remodel and integrate in the biological milieu, and technology, through the use of recently developed material platforms based on biomaterials and bioresorbable technologies such as optics and electronics. The union of materials and technology in this context enables a class of biomedical devices that can be optically or electronically functional and yet harmlessly degrade once their use is complete. We present here a fully degradable, remotely controlled, implantable therapeutic device operating in vivo to counter a Staphylococcus aureus infection that disappears once its function is complete. This class of device provides fully resorbable packaging and electronics that can be turned on remotely, after implantation, to provide the necessary thermal therapy or trigger drug delivery. Such externally controllable, resorbable devices not only obviate the need for secondary surgeries and retrieval, but also have extended utility as therapeutic devices that can be left behind at a surgical or suturing site, following intervention, and can be externally controlled to allow for infection management by either thermal treatment or by remote triggering of drug release when there is retardation of antibiotic diffusion, deep infections are present, or when systemic antibiotic treatment alone is insufficient due to the emergence of antibiotic-resistant strains. After completion of function, the device is safely resorbed into the body, within a programmable period. PMID:25422476

  11. A Remote Monitoring System for Greenhouse Based on the Internet of Things

    Directory of Open Access Journals (Sweden)

    Xu Zhenfeng

    2016-01-01

    Full Text Available The Internet of Things (IOT is considered as a great opportunity for the development in the information field nowadays, and has been applied widely in many fields. The IOT can be applied to monitor and control the microclimate factors of greenhouse remotely. In this paper, a wireless monitoring network is designed in the perception layer of the IOT. The nodes are developed based on the Mica2 hardware and the TinyOS software. The LPL (low power listening technology is adopted to reduce the energy consumption of the relay node which is powered by a solar panel. The ACK (Acknowledgement mechanism is used in the software to improve the quality of wireless communications. A remote monitoring terminal is developed by using Java technology. The monitoring terminal is easy to operate with good interactivity. The system has been installed in a glass greenhouse. The actual operation results show that the system is stable and reliable, which lays a good foundation for the development of remote control strategies in future.

  12. Study on Method of Geohazard Change Detection Based on Integrating Remote Sensing and GIS

    International Nuclear Information System (INIS)

    Following a comprehensive literature review, this paper looks at analysis of geohazard using remote sensing information. This paper compares the basic types and methods of change detection, explores the basic principle of common methods and makes an respective analysis of the characteristics and shortcomings of the commonly used methods in the application of geohazard. Using the earthquake in JieGu as a case study, this paper proposes a geohazard change detection method integrating RS and GIS. When detecting the pre-earthquake and post-earthquake remote sensing images at different phases, it is crucial to set an appropriate threshold. The method adopts a self-adapting determination algorithm for threshold. We select a training region which is obtained after pixel information comparison and set a threshold value. The threshold value separates the changed pixel maximum. Then we apply the threshold value to the entire image, which could also make change detection accuracy maximum. Finally, we output the result to the GIS system to make change analysis. The experimental results show that this method of geohazard change detection based on integrating remote sensing and GIS information has higher accuracy with obvious advantages compared with the traditional methods

  13. Remote Sensing CO,CO2 in Vehicle Emissions Based on TDLAS

    Institute of Scientific and Technical Information of China (English)

    WANG Tie-dong; LIU Wen-qing; ZHANG Yu-jun; LIU Jian-guo; DONG Feng-zhong; WANG Min; WANG Xiao-mei; XU Min

    2007-01-01

    Knowing the quantity of pollutants that the vehicle fleet is emitting to the air has become a vital problem in almost every major city in China. Finding and fixing gross polluters is therefore very important to control the urban air quality and protect the human health and the environment. Remote sensing is an important advance in the technology of on-road vehicle emissions testing because it is fast, mobile, and unobtrusive. This on-road vehicle emissions remote system is designed to measure the carbon monoxide, carbon dioxide and opacity from the vehicles's tailpipe based on the Tunable Diode Laser Absorption Spectroscopy (TDLAS). There are several advantages of this system such as compact design and easy of use. The measurement principle and optical layout of the instrument has been described in this paper. Field testing at Beijing and Hefei were conducted over one year, more than 6 000 vehicles were tested. This vehicle emissions remote system has been shown to be able to measure CO,CO2 and opacity from individual at highway speeds. In parallel, the plate license, speed, acceleration and length of vehicle are recognised by computer so that the owners of vehicles exceeding the permissible level of emissions can be identified.

  14. A DNA-based semantic fusion model for remote sensing data.

    Science.gov (United States)

    Sun, Heng; Weng, Jian; Yu, Guangchuang; Massawe, Richard H

    2013-01-01

    Semantic technology plays a key role in various domains, from conversation understanding to algorithm analysis. As the most efficient semantic tool, ontology can represent, process and manage the widespread knowledge. Nowadays, many researchers use ontology to collect and organize data's semantic information in order to maximize research productivity. In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data. Our ontology is made up of 1,264 concepts and 2,030 semantic relationships. However, the growth of big data is straining the capacities of current semantic fusion and reasoning practices. Considering the massive parallelism of DNA strands, we propose a novel DNA-based semantic fusion model. In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data. The semantic information is read in a parallel and bit-wise manner and an individual bit is converted to a base. By doing so, a considerable amount of conversion time can be saved, i.e., the cluster-based multi-processes program can reduce the conversion time from 81,536 seconds to 4,937 seconds for 4.34 GB source data files. Moreover, the size of result file recording DNA sequences is 54.51 GB for parallel C program compared with 57.89 GB for sequential Perl. This shows that our parallel method can also reduce the DNA synthesis cost. In addition, data types are encoded in our model, which is a basis for building type system in our future DNA computer. Finally, we describe theoretically an algorithm for DNA-based semantic fusion. This algorithm enables the process of integration of the knowledge from disparate remote sensing data sources into a consistent, accurate, and complete representation. This process depends solely on ligation reaction and screening operations instead of the ontology.

  15. A DNA-based semantic fusion model for remote sensing data.

    Directory of Open Access Journals (Sweden)

    Heng Sun

    Full Text Available Semantic technology plays a key role in various domains, from conversation understanding to algorithm analysis. As the most efficient semantic tool, ontology can represent, process and manage the widespread knowledge. Nowadays, many researchers use ontology to collect and organize data's semantic information in order to maximize research productivity. In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data. Our ontology is made up of 1,264 concepts and 2,030 semantic relationships. However, the growth of big data is straining the capacities of current semantic fusion and reasoning practices. Considering the massive parallelism of DNA strands, we propose a novel DNA-based semantic fusion model. In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data. The semantic information is read in a parallel and bit-wise manner and an individual bit is converted to a base. By doing so, a considerable amount of conversion time can be saved, i.e., the cluster-based multi-processes program can reduce the conversion time from 81,536 seconds to 4,937 seconds for 4.34 GB source data files. Moreover, the size of result file recording DNA sequences is 54.51 GB for parallel C program compared with 57.89 GB for sequential Perl. This shows that our parallel method can also reduce the DNA synthesis cost. In addition, data types are encoded in our model, which is a basis for building type system in our future DNA computer. Finally, we describe theoretically an algorithm for DNA-based semantic fusion. This algorithm enables the process of integration of the knowledge from disparate remote sensing data sources into a consistent, accurate, and complete representation. This process depends solely on ligation reaction and screening operations instead of the ontology.

  16. Toward autonomous surface-based infrared remote sensing of polar clouds: cloud-height retrievals

    Science.gov (United States)

    Rowe, Penny M.; Cox, Christopher J.; Walden, Von P.

    2016-08-01

    Polar regions are characterized by their remoteness, making measurements challenging, but an improved knowledge of clouds and radiation is necessary to understand polar climate change. Infrared radiance spectrometers can operate continuously from the surface and have low power requirements relative to active sensors. Here we explore the feasibility of retrieving cloud height with an infrared spectrometer that would be designed for use in remote polar locations. Using a wide variety of simulated spectra of mixed-phase polar clouds at varying instrument resolutions, retrieval accuracy is explored using the CO2 slicing/sorting and the minimum local emissivity variance (MLEV) methods. In the absence of imposed errors and for clouds with optical depths greater than ˜ 0.3, cloud-height retrievals from simulated spectra using CO2 slicing/sorting and MLEV are found to have roughly equivalent high accuracies: at an instrument resolution of 0.5 cm-1, mean biases are found to be ˜ 0.2 km for clouds with bases below 2 and -0.2 km for higher clouds. Accuracy is found to decrease with coarsening resolution and become worse overall for MLEV than for CO2 slicing/sorting; however, the two methods have differing sensitivity to different sources of error, suggesting an approach that combines them. For expected errors in the atmospheric state as well as both instrument noise and bias of 0.2 mW/(m2 sr cm-1), at a resolution of 4 cm-1, average retrieval errors are found to be less than ˜ 0.5 km for cloud bases within 1 km of the surface, increasing to ˜ 1.5 km at 4 km. This sensitivity indicates that a portable, surface-based infrared radiance spectrometer could provide an important complement in remote locations to satellite-based measurements, for which retrievals of low-level cloud are challenging.

  17. Region-based geometric active contour for classification using hyperspectral remote sensing images

    Science.gov (United States)

    Yan, Lin

    2011-12-01

    The high spectral resolution of hyperspectral imaging (HSI) systems greatly enhances the capabilities of discrimination, identification and quantification of objects of different materials from remote sensing images, but they also bring challenges to the processing and analysis of HSI data. One issue is the high computation cost and the curse of dimensionality associated with the high dimensions of HSI data. A second issue is how to effectively utilize the information including spectral and spatial information embedded in HSI data. Geometric Active Contour (GAC) is a widely used image segmentation method that utilizes the geometric information of objects within images. One category of GAC models, the region-based GAC models (RGAC), have good potential for remote sensing image processing because they use both spectral and geometry information in images are robust to initial contour placement. These models have been introduced to target extractions and classifications on remote sensing images. However, there are some restrictions on the applications of the RGAC models on remote sensing. First, the heavy involvement of iterative contour evolutions makes GAC applications time-consuming and inconvenient to use. Second, the current RGAC models must be based on a certain distance metric and the performance of RGAC classifiers are restricted by the performance of the employed distance metrics. According to the key features of the RGAC models analyzed in this dissertation, a classification framework is developed for remote sensing image classifications using the RGAC models. This framework allows the RGAC models to be combined with conventional pixel-based classifiers to promote them to spectral-spatial classifiers and also greatly reduces the iterations of contour evolutions. An extended Chan-Vese (ECV) model is proposed that is able to incorporate the widely used distance metrics in remote sensing image processing. A new type of RGAC model, the edge-oriented RGAC model

  18. Measurement of ecological capital of Chinese terrestrial ecosystem based on remote sensing

    Institute of Scientific and Technical Information of China (English)

    PAN; Yaozhong; SHI; Peijun; ZHU; Wenquan; GU; Xiaohe; FAN

    2005-01-01

    The biosphere of the Earth is essential to human survival and development. The services of ecosystems are critical to the functioning of the Earth's life-support system. They contribute to human welfare both directly and indirectly. Ecological capital refers to the sum of the direct biological resources value and the indirect ecosystem services value. It is necessary to estimate the ecological capital in order to bring it to the society and market economic system, and draw the social attention to ecological environment constructions. An estimation model for ecological capital based on remote sensing is presented in this paper. The parameters in the model are quantitatively measured using NOAA/AVHRR and other ancillary data, including the land cover types, the vegetation coverage, and the vegetation net primary productivity (NPP) of terrestrial ecosystem. Based on the economic parameters in previously published studies and a few original calculations, the annual ecological capital of the entire terrestrial ecosystem of China is quantitatively estimated at 6.44 trillion (1012) yuan (RMB), and the spatial distribution of the ecological capital is also analyzed. Traditional ecological methods to ecological capital measurement are based on homogeneous plot scales, and the regional scaling is a key problem in their applications. As the proposed remote sensing approach, it provides a new method to ecological capital measurement completely based on observation data. It can not only overcome the regional scaling problem easily, but also allows the ecological capital to be estimated objectively and spatial-explicitly.

  19. A remote islanding detection and control strategy for photovoltaic-based distributed generation systems

    International Nuclear Information System (INIS)

    Highlights: • This study presents a new remote islanding detection method for PV based DG systems. • An uncomplicated VLSI based structure for voltage drifting detection is proposed with FPGA. • The proposed method was verified by the developed PV testbed constituted in the laboratory. • The islanding detection time is 1.65 ms even in a resonant condition. • The proposed method is independent from inverter & load so it can be easily implemented. - Abstract: This study presents a new remote islanding detection method and control system for photovoltaic (PV) based Distributed Generation (DG) systems. The proposed method monitors and controls the grid, local load and the output of the PV inverter in real time with the communication of circuit breakers. The proposed remote control system detects the changes in the currents of the circuit breakers, frequency, and the voltages by checking the defined threshold values at all electrical branches of the PV system. The proposed islanding detection algorithm was implemented by a low-cost FPGA board. The control system was also designed by considering a Very Large Scale Integration (VLSI) structure. The proposed method was verified by a developed prototype PV system constituted in the laboratory. The proposed control system was checked in a resonance condition with an active power match, and the verified results indicated that the developed system was also independent of the load and the inverter. Islanding detection time is approximately 1.65 ms even in a worst-case operational scenario, and this is a significantly shorter response time according to the existing standards. The proposed method presents a realistic solution to islanding, is easy to implement, and is suitable for real system applications. The method also provides a reliable islanding detection and presents a low-cost solution to the subject

  20. A robust anonymous biometric-based remote user authentication scheme using smart cards

    Directory of Open Access Journals (Sweden)

    Ashok Kumar Das

    2015-04-01

    Full Text Available Several biometric-based remote user authentication schemes using smart cards have been proposed in the literature in order to improve the security weaknesses in user authentication system. In 2012, An proposed an enhanced biometric-based remote user authentication scheme using smart cards. It was claimed that the proposed scheme is secure against the user impersonation attack, the server masquerading attack, the password guessing attack, and the insider attack and provides mutual authentication between the user and the server. In this paper, we first analyze the security of An’s scheme and we show that this scheme has three serious security flaws in the design of the scheme: (i flaw in user’s biometric verification during the login phase, (ii flaw in user’s password verification during the login and authentication phases, and (iii flaw in user’s password change locally at any time by the user. Due to these security flaws, An’s scheme cannot support mutual authentication between the user and the server. Further, we show that An’s scheme cannot prevent insider attack. In order to remedy the security weaknesses found in An’s scheme, we propose a new robust and secure anonymous biometric-based remote user authentication scheme using smart cards. Through the informal and formal security analysis, we show that our scheme is secure against all possible known attacks including the attacks found in An’s scheme. The simulation results of our scheme using the widely-accepted AVISPA (Automated Validation of Internet Security Protocols and Applications tool ensure that our scheme is secure against passive and active attacks. In addition, our scheme is also comparable in terms of the communication and computational overheads with An’s scheme and other related existing schemes. As a result, our scheme is more appropriate for practical applications compared to other approaches.

  1. Extraction Method for Earthquake-Collapsed Building Information Based on High-Resolution Remote Sensing

    International Nuclear Information System (INIS)

    At present, the extraction of earthquake disaster information from remote sensing data relies on visual interpretation. However, this technique cannot effectively and quickly obtain precise and efficient information for earthquake relief and emergency management. Collapsed buildings in the town of Zipingpu after the Wenchuan earthquake were used as a case study to validate two kinds of rapid extraction methods for earthquake-collapsed building information based on pixel-oriented and object-oriented theories. The pixel-oriented method is based on multi-layer regional segments that embody the core layers and segments of the object-oriented method. The key idea is to mask layer by layer all image information, including that on the collapsed buildings. Compared with traditional techniques, the pixel-oriented method is innovative because it allows considerably rapid computer processing. As for the object-oriented method, a multi-scale segment algorithm was applied to build a three-layer hierarchy. By analyzing the spectrum, texture, shape, location, and context of individual object classes in different layers, the fuzzy determined rule system was established for the extraction of earthquake-collapsed building information. We compared the two sets of results using three variables: precision assessment, visual effect, and principle. Both methods can extract earthquake-collapsed building information quickly and accurately. The object-oriented method successfully overcomes the pepper salt noise caused by the spectral diversity of high-resolution remote sensing data and solves the problem of same object, different spectrums and that of same spectrum, different objects. With an overall accuracy of 90.38%, the method achieves more scientific and accurate results compared with the pixel-oriented method (76.84%). The object-oriented image analysis method can be extensively applied in the extraction of earthquake disaster information based on high-resolution remote sensing

  2. The Monitoring of Red Tides Based on Modular Neural Networks Using Airborne Hyperspectral Remote Sensing

    Institute of Scientific and Technical Information of China (English)

    JI Guangrong; SUN Jie; ZHAO Wencang; ZHANG Hande

    2006-01-01

    This paper proposes a red tide monitoring method based on clustering and modular neural networks. To obtain the features of red tide from a mass of aerial remote sensing hyperspectral data, first the Log Residual Correction (LRC) is used to normalize the data, and then clustering analysis is adopted to select and form the training samples for the neural networks. For rapid monitoring, the discriminator is composed of modular neural networks, whose structure and learning parameters are determined by an Adaptive Genetic Algorithm (AGA). The experiments showed that this method can monitor red tide rapidly and effectively.

  3. Land Use/Land Cover Classification Based on Multi-resolution Remote Sensing Data

    OpenAIRE

    Liu, Yuechen; Pei, Zhiyuan; Wu, Quan; Guo, Lin; Zhao, Hu; Chen, Xiwei

    2011-01-01

    Part 1: GIS, GPS, RS and Precision Farming; International audience; The paper summarized pre-existing research works relating to land use/land cover classification based on multi-resolution remote sensing data. According to the features of regions, we carried out of the land use/land cover classification of level III classes in 148 group of Xinjiang agricultural reclamation eighth division. The land use/land cover classification system divided land in study area into 6 level I classes, 16 lev...

  4. Neural Network Based on Rough Sets and Its Application to Remote Sensing Image Classification

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    This paper presents a new kind of back propagation neural network (BPNN) based on rough sets,called rough back propagation neural network (RBPNN).The architecture and training method of RBPNN are presented and the survey and analysis of RBPNN for the classification of remote sensing multi-spectral image is discussed.The successful application of RBPNN to a land cover classification illustrates the simple computation and high accuracy of the new neural network and the flexibility and practicality of this new approach.

  5. A Hash Based Remote User Authentication and Authenticated Key Agreement Scheme for the Integrated EPR Information System.

    Science.gov (United States)

    Li, Chun-Ta; Weng, Chi-Yao; Lee, Cheng-Chi; Wang, Chun-Cheng

    2015-11-01

    To protect patient privacy and ensure authorized access to remote medical services, many remote user authentication schemes for the integrated electronic patient record (EPR) information system have been proposed in the literature. In a recent paper, Das proposed a hash based remote user authentication scheme using passwords and smart cards for the integrated EPR information system, and claimed that the proposed scheme could resist various passive and active attacks. However, in this paper, we found that Das's authentication scheme is still vulnerable to modification and user duplication attacks. Thereafter we propose a secure and efficient authentication scheme for the integrated EPR information system based on lightweight hash function and bitwise exclusive-or (XOR) operations. The security proof and performance analysis show our new scheme is well-suited to adoption in remote medical healthcare services.

  6. Groundwater prospective mapping: remote sensing and a GIS-based index model approach

    Science.gov (United States)

    Shetty, Amba; Nandagiri, Lakshman; Ramachandra, Padami

    2009-01-01

    The present study is concerned with the development and test of an integrated remote sensing and GIS based methodology for identification of groundwater potential areas in a humid tropical river basin. Indian Remote Sensing Satellite (IRS 1C-LISS-III) data along with other collateral data such as existing maps and field observations was utilized to extract information on the hydro-geomorphic features of the terrain. The study involves two components: (a) demarcation of groundwater potential zones (b) validation of sites with yield data. In order to demarcate potential groundwater zones, six pertinent thematic layers were integrated and assigned appropriate rankings. Layers considered were: geology, geomorphology, drainage density, slope, rainfall with infiltration factor and land cover map. The layer parameters were also rated according to their importance relative to other classes in the same theme. All the layers were superimposed and analyzed in ARC GIS environment. A linear additive model based on the DRASTIC model concept was used to find the groundwater potential index (GPI). The map comprised of six categories of groundwater yield. To carry out more focused investigations on the potential zones, lineament maps were superimposed over it. The validity of different potential zones identified using the GIS-based model was compared with available borewell yield data and found to be in good agreement. The map generated can be used in future as a preliminary screening tool in selecting well sites and as a basic tool in land use planning for groundwater protection.

  7. ANALYSIS ON SPATIAL FEATURES OF LUCC BASED ON REMOTE SENSING AND GIS IN CHINA

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    In view of the large quantities of areas, complex landform and dynamic change of resources and environment in China, China has already funded abundantly a series of macro remote sensing investigation projects in land use/ cover change(LUCC) since 1990. Supported by the achievements of such projects, Chinese resources, environmental and remote sensing database (CRERS) was created. In this paper, we standardized the LUCC dataset of CRERS at scale of 1km, which facilitated the study of spatial features of LUCC in China. The analysis on the spatial features of LUCC and their causes of formation in China are based on the CRERS supported by the technologies of Geographic Information System (GIS). The whole research was based on the grade index of land use, ecological environmental index and index of population density. Based on the correlation analysis, we found that the special features of LUCC were closely related with those of ecological environment and population density, which resulted from that areas with better ecological environment and high production potential of land were easy and convenient for human being to live, which, furthermore, led to the aggravation of excessive exploitation of land resources there.

  8. ANALYSIS ON SPATIAL FEATURES OF LUCC BASED ON REMOTE SENSING AND GIS IN CHINA

    Institute of Scientific and Technical Information of China (English)

    GAOZhi-qiang; DENGXiang-zheng

    2002-01-01

    In view of the large quantities of areas,complex landform and dynamic change of resources and environ-ment in China,China has already funded abundantly a series of macro remote sensing investigation projects in land use cover change(LUCC) since 1990.Supported by the achievements of such projects,Chinese resources,environmental and remote sensing database(CRERS) was created.In this paper,we standardized the LUCC dataset of CRERS at scale of 1km,which facilitated the study of spatial features of LUCC in China.The analysis on the spatial features of LUCC and their causes of formation in China are based on the CRERS supported by the technologies of Geographic Information System(GIS) .The whole research was based on the grade index of land use,ecological environmental index and index of population density.Based on the correlation analysis,we found that the special features of LUCC were closely related with those of ecological environment and population density,which resulted form that areas with better ecological environ-ment and high production potential of land were easy and convenient for human being to live,which,furthermore,led to the aggravation of excessive exploitation of land resources there.

  9. The non-point source (NPS) information system based on remote sensing and GIS and its preliminary application

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    A non-point source information system (NPSIS) has been constructed by use of remote sensing and GIS technology, and a construction method of NPSlS introduced with Shenzhen as an example. With the remote sensing land-using images as an environment unit, the analysis modules based on NPSIS are built through combining the NPS model with NPSIS, and the preliminary NPS calculation and analysis performed.

  10. Remote sensing new model for monitoring the east Asian migratory locust infections based on its breeding circle

    Science.gov (United States)

    Han, Xiuzhen; Ma, Jianwen; Bao, Yuhai

    2006-12-01

    Currently the function of operational locust monitor system mainly focused on after-hazards monitoring and assessment, and to found the way effectively to perform early warning and prediction has more practical meaning. Through 2001, 2002 two years continuously field sample and statistics for locusts eggs hatching, nymph growth, adults 3 phases observation, sample statistics and calculation, spectral measurements as well as synchronically remote sensing data processing we raise the view point of Remote Sensing three stage monitor the locust hazards. Based on the point of view we designed remote sensing monitor in three stages: (1) during the egg hitching phase remote sensing can retrieve parameters of land surface temperature (LST) and soil moisture; (2) during nymph growth phase locust increases appetite greatly and remote sensing can calculate vegetation index, leaf area index, vegetation cover and analysis changes; (3) during adult phase the locust move and assembly towards ponds and water ditches as well as less than 75% vegetation cover areas and remote sensing combination with field data can monitor and predicts potential areas for adult locusts to assembly. In this way the priority of remote sensing technology is elaborated effectively and it also provides technique support for the locust monitor system. The idea and techniques used in the study can also be used as reference for other plant diseases and insect pests.

  11. Feasibility of consistently estimating timber volume through landsat-based remote sensing applications

    Science.gov (United States)

    Arroyo, Renaldo Josue Salazar

    The Mississippi Institute for Forest Inventory (MIFI) is the only cost-effective large-scale forest inventory system in the United States with sufficient precision for producing reliable volume/weight/biomass estimates for small working circle areas (procurement areas). When forest industry is recruited to Mississippi, proposed working circles may overlap existing boundaries of bordering states leaving a gap of inventory information, and a remote sensing-based system for augmenting missing ground inventory data is desirable. The feasibility of obtaining acceptable cubic foot volume estimates from a Landsat-derived volume estimation model (Wilkinson 2011) was assessed by: 1) an initial study to temporally validate Landsat-derived cubic foot volume outside bark to a pulpwood top estimates in comparison with MIFI ground truth inventory plot estimates at two separate time periods, and 2) re-developing a regression model based on remotely sensed imagery in combination with available MIFI plot data. Initial results failed to confirm the relationships shown in past research between radiance values and volume estimation. The complete lack of influence of radiance values in the model led to a re-assessment of volume estimation schemes. Data outlier trimming manipulation was discovered to lead to false relationships with radiance values reported in past research. Two revised volume estimation models using age, average stand height, and trees per-acre and age and height alone as independent variables were found sufficient to explain variation of volume across the image. These results were used to develop a procedure for other remote sensing technologies that could produce data with sufficient precision for volume estimation where inventory data are sparse or non-existent.

  12. Remote programming of the Mitsubishi Movemaster robot by using the web-based interface

    Directory of Open Access Journals (Sweden)

    K. Foit

    2008-12-01

    Full Text Available Purpose: The aim of this paper is to present a prototype of web-based programming interface for the MitsubishiMovemaster RV-M1 robot.Design/methodology/approach: The web techniques have been selected due to modularity of this solution andpossibility of use the existing code fragments for elaborating new applications. The previous papers [11-14] havepresented the off-line, remote programming system for the RV-M1 robot. The general idea of this system is abase for developing a web-based programming interface.Findings: The prototype of the system has been developed.Research limitations/implications: The presented system is in the early development stage and there is a lackof some functions. In the future a visualisation module will be elaborated and the trajectory translator intendedto co-operate with CAD software will be included.Practical implications: The previous version of the system has been intended for educational purposes. It isplanned that new version will be more flexible and it will have the possibility of being adapted for other devices,like small PLC’s or other robots.Originality/value: Remote supervision of machines during a manufacturing process is an actual issue. Most ofautomation systems manufacturers produce supervising software for their PLC’s and robots. The MovemasterRV-M1 robot is an old model and is lack of the high-tech software. On the other hand, the programming anddevelopment of applications for this robot are very easy. The aim of the presented project is to develop a flexible,remote-programming environment.

  13. Development of remote sensing based site specific weed management for Midwest mint production

    Science.gov (United States)

    Gumz, Mary Saumur Paulson

    Peppermint and spearmint are high value essential oil crops in Indiana, Michigan, and Wisconsin. Although the mints are profitable alternatives to corn and soybeans, mint production efficiency must improve in order to allow industry survival against foreign produced oils and synthetic flavorings. Weed control is the major input cost in mint production and tools to increase efficiency are necessary. Remote sensing-based site-specific weed management offers potential for decreasing weed control costs through simplified weed detection and control from accurate site specific weed and herbicide application maps. This research showed the practicability of remote sensing for weed detection in the mints. Research was designed to compare spectral response curves of field grown mint and weeds, and to use these data to develop spectral vegetation indices for automated weed detection. Viability of remote sensing in mint production was established using unsupervised classification, supervised classification, handheld spectroradiometer readings and spectral vegetation indices (SVIs). Unsupervised classification of multispectral images of peppermint production fields generated crop health maps with 92 and 67% accuracy in meadow and row peppermint, respectively. Supervised classification of multispectral images identified weed infestations with 97% and 85% accuracy for meadow and row peppermint, respectively. Supervised classification showed that peppermint was spectrally distinct from weeds, but the accuracy of these measures was dependent on extensive ground referencing which is impractical and too costly for on-farm use. Handheld spectroradiometer measurements of peppermint, spearmint, and several weeds and crop and weed mixtures were taken over three years from greenhouse grown plants, replicated field plots, and production peppermint and spearmint fields. Results showed that mints have greater near infrared (NIR) and lower green reflectance and a steeper red edge slope than

  14. Assessment of Urban Plantation Climate-Regulating Function based on Remote Sensing Data (Case Study Moscow)

    Science.gov (United States)

    Sandlerskiy, Robert

    2010-05-01

    A variety of active surfaces in combination with various building levels forms a specific urban mode of atmospheric turbulence. The spatial combination of green plantings, asphalt and building defines a temperature and wind mode, and creates various air circulation systems. Influence of spatial structure and buildings height on a wind mode of urban territories is full enough studied in town-planning. Assessment of the input to formation of urban climate of surfaces with various heat capacity and, vegetation is not developed. This assessment can be based on the multispectral remote sensing data which contain information on energetic surface condition. Multispectral data development make possible a calculation of the basic energetic characteristics of surfaces: input and absorption of solar energy, energy consumption on evapotranspiration, thermal scattering and accumulation, a heat flux and temperature of surface. This technique gives a possibility to estimate a thermal mode of surface at various spatial scales. In world practice urban landscapes condition estimation based on remote data (Urban Remote Sensing) is underdeveloped, and focused, mainly, on temperature and heat flux estimation. For energetic characteristics estimation for Moscow territory we use Landsat 5 TM and 7 ETM + remote sensing data for three terms in the vegetational season: May (26/05/2003), July (21/07/2003), August (17/08/2007), with the spatial resolution 30х30 m for 6 channels in a short-wave range and 60х60 m - for the thermal channel. Mean values of calculated temperatures have been compared to daily temperatures on a municipal meteorological station. The calculated energetic characteristics have been analyzed to estimate independent factors which determine their spatial variation. Basing on the estimated factors we classify surface, and allocate surface types with a various temperature and energetic mode. Next we calculate mean values of energetic characteristics to each type. Type

  15. Numerical Representation of Web Sites of Remote Sensing Satellite Data Providers and Its Application to Knowledge Based Information Retrievals with Natural Language

    OpenAIRE

    Kohei Arai

    2013-01-01

    A method for numerical expression of web site which is relating to satellite remote sensing and its application to knowledge based information retrieval system which allows retrievals with natural language is proposed and implemented. Through experiments with remote sensing related information, it is found that the proposed information retrieval system does work in particular for remote sensing satellite data retrievals with natural language.

  16. INTRANET: AS TENDÊNCIAS NA COMUNICAÇÃO INTERNA DE ORGANIZAÇÕES PÚBLICAS

    Directory of Open Access Journals (Sweden)

    Virginia Palmerston

    2008-12-01

    Full Text Available Com este artigo, procura-se encontrar resposta para o seguinte questionamento: Quais são os caminhos que estão sendo seguidos para que as intranets das organizações públicas funcionem como instrumento de dinamização da comunicação interna? Assim, o objetivo é verificar as tendências da comunicação interna sistematizada pelo uso das intranets. Neste estudo mostram-se alguns sinais que apontam para uma preocupação na adequada utilização das intranets como forma de maximizar a comunicação interna das organizações públicas Por intermédio dos estudos de caso, pôde-se perceber que os responsáveis pelo gerenciamento das informações têm aperfeiçoado os recursos que lhes permitem atingir tal objetivo.

  17. REMOTE SENSING OF WATER VAPOR CONTENT USING GROUND-BASED GPS DATA

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Spatial and temporal resolution of water vapor content is useful in improving the accuracy of short-term weather prediction.Dense and continuously tracking regional GPS arrays will play an important role in remote sensing atmospheric water vapor content.In this study,a piecewise linear solution method was proposed to estimate the precipitable water vapor (PWV) content from ground-based GPS observations in Hong Kong.To evaluate the solution accuracy of the water vapor content sensed by GPS,the upper air sounding data (radiosonde) that are collected locally was used to calculate the precipitable water vapor during the same period.One-month results of PWV from both ground-based GPS sensing technique and radiosonde method are in agreement within 1~2 mm.This encouraging result will motivate the GPS meteorology application based on the establishment of a dense GPS array in Hong Kong.

  18. [Hyperspectral remote sensing image classification based on radical basis function neural network].

    Science.gov (United States)

    Tan, Kun; Du, Pei-jun

    2008-09-01

    Based on the radial basis function neural network (RBFNN) theory and the specialty of hyperspectral remote sensing data, the effective feature extraction model was designed, and those extracted features were connected to the input layer of RBFNN, finally the classifier based on radial basis function neural network was constructed. The hyperspectral image with 64 bands of OMIS II made by Chinese was experimented, and the case study area was zhongguancun in Beijing. Minimum noise fraction (MNF) was conducted, and the former 20 components were extracted for further processing. The original data (20 dimension) of extraction by MNF, the texture transformation data (20 dimension) extracted from the former 20 components after MNF, and the principal component analysis data (20 dimension) of extraction were combined to 60 dimension. For classification by RBFNN, the sizes of training samples were less than 6.13% of the whole image. That classifier has a simple structure and fast convergence capacity, and can be easily trained. The classification precision of radial basis function neural network classifier is up to 69.27% in contrast with the 51.20% of back propagation neural network (BPNN) and 40. 88% of traditional minimum distance classification (MDC), so RBFNN classifier performs better than the other three classifiers. It proves that RBFNN is of validity in hyperspectral remote sensing classification.

  19. Corn and sorghum phenotyping using a fixed-wing UAV-based remote sensing system

    Science.gov (United States)

    Shi, Yeyin; Murray, Seth C.; Rooney, William L.; Valasek, John; Olsenholler, Jeff; Pugh, N. Ace; Henrickson, James; Bowden, Ezekiel; Zhang, Dongyan; Thomasson, J. Alex

    2016-05-01

    Recent development of unmanned aerial systems has created opportunities in automation of field-based high-throughput phenotyping by lowering flight operational cost and complexity and allowing flexible re-visit time and higher image resolution than satellite or manned airborne remote sensing. In this study, flights were conducted over corn and sorghum breeding trials in College Station, Texas, with a fixed-wing unmanned aerial vehicle (UAV) carrying two multispectral cameras and a high-resolution digital camera. The objectives were to establish the workflow and investigate the ability of UAV-based remote sensing for automating data collection of plant traits to develop genetic and physiological models. Most important among these traits were plant height and number of plants which are currently manually collected with high labor costs. Vegetation indices were calculated for each breeding cultivar from mosaicked and radiometrically calibrated multi-band imagery in order to be correlated with ground-measured plant heights, populations and yield across high genetic-diversity breeding cultivars. Growth curves were profiled with the aerial measured time-series height and vegetation index data. The next step of this study will be to investigate the correlations between aerial measurements and ground truth measured manually in field and from lab tests.

  20. A Study on Integrated Community Based Flood Mitigation with Remote Sensing Technique in Kota Bharu, Kelantan

    International Nuclear Information System (INIS)

    This study is conducted to establish a community based flood management system that is integrated with remote sensing technique. To understand local knowledge, the demographic of the local society is obtained by using the survey approach. The local authorities are approached first to obtain information regarding the society in the study areas such as the population, the gender and the tabulation of settlement. The information about age, religion, ethnic, occupation, years of experience facing flood in the area, are recorded to understand more on how the local knowledge emerges. Then geographic data is obtained such as rainfall data, land use, land elevation, river discharge data. This information is used to establish a hydrological model of flood in the study area. Analysis were made from the survey approach to understand the pattern of society and how they react to floods while the analysis of geographic data is used to analyse the water extent and damage done by the flood. The final result of this research is to produce a flood mitigation method with a community based framework in the state of Kelantan. With the flood mitigation that involves the community's understanding towards flood also the techniques to forecast heavy rainfall and flood occurrence using remote sensing, it is hope that it could reduce the casualties and damage that might cause to the society and infrastructures in the study area

  1. A Method of Road Extraction from High-resolution Remote Sensing Images Based on Shape Features

    Directory of Open Access Journals (Sweden)

    LEI Xiaoqi

    2016-02-01

    Full Text Available Road extraction from high-resolution remote sensing image is an important and difficult task.Since remote sensing images include complicated information,the methods that extract roads by spectral,texture and linear features have certain limitations.Also,many methods need human-intervention to get the road seeds(semi-automatic extraction,which have the great human-dependence and low efficiency.The road-extraction method,which uses the image segmentation based on principle of local gray consistency and integration shape features,is proposed in this paper.Firstly,the image is segmented,and then the linear and curve roads are obtained by using several object shape features,so the method that just only extract linear roads are rectified.Secondly,the step of road extraction is carried out based on the region growth,the road seeds are automatic selected and the road network is extracted.Finally,the extracted roads are regulated by combining the edge information.In experiments,the images that including the better gray uniform of road and the worse illuminated of road surface were chosen,and the results prove that the method of this study is promising.

  2. Evaluation of impact of earthquake on agriculture in Nepal based on remote sensing

    Science.gov (United States)

    Sekiyama, Ayako; Shimada, Sawahiko; Okazawa, Hiromu; Mihara, Machito; Kuo, Kuang Ting

    2016-07-01

    The big earthquake happening on April, 2015 killed over than 8000 people in Nepal. The effect of earthquake not only affected safety of local people but also agricultural field. Agricultural economy dominates income of local people. Therefore, restoration of agricultural areas are required for improving life of local people. However, lack of information about agricultural areas is main problem for local government to assess and restore damaged agricultural areas. Remote sensing was applied for accessing damaged agricultural field due to its advantages in observing responds of environment without temporal and spatial restriction. Accordingly, the objective of the study is to evaluate impact of earthquake on agriculture in Nepal based on remote sensing. The experimental procedure includes conducting the impact of earthquake on changes of total agricultural area, and analysis of response of greenness affected by earthquake in agricultural land. For conducting agricultural land changes, land use map was first created and classified into four categories: road, city, forest, and agricultural land. Changes before and after earthquake in total area of agricultural land were analyzed by GIS. Moreover, vegetation index was used as indicator for evaluating greenness responds in agricultural land and computed based on high-resolution satellite imagery such as World view-3. Finally, the conclusion of the study and suggestions will be made and provided for helping local government in Nepal restore agricultural areas.

  3. Distortion correction algorithm for UAV remote sensing image based on CUDA

    International Nuclear Information System (INIS)

    In China, natural disasters are characterized by wide distribution, severe destruction and high impact range, and they cause significant property damage and casualties every year. Following a disaster, timely and accurate acquisition of geospatial information can provide an important basis for disaster assessment, emergency relief, and reconstruction. In recent years, Unmanned Aerial Vehicle (UAV) remote sensing systems have played an important role in major natural disasters, with UAVs becoming an important technique of obtaining disaster information. UAV is equipped with a non-metric digital camera with lens distortion, resulting in larger geometric deformation for acquired images, and affecting the accuracy of subsequent processing. The slow speed of the traditional CPU-based distortion correction algorithm cannot meet the requirements of disaster emergencies. Therefore, we propose a Compute Unified Device Architecture (CUDA)-based image distortion correction algorithm for UAV remote sensing, which takes advantage of the powerful parallel processing capability of the GPU, greatly improving the efficiency of distortion correction. Our experiments show that, compared with traditional CPU algorithms and regardless of image loading and saving times, the maximum acceleration ratio using our proposed algorithm reaches 58 times that using the traditional algorithm. Thus, data processing time can be reduced by one to two hours, thereby considerably improving disaster emergency response capability

  4. Remote sensing-based estimation of annual soil respiration at two contrasting forest sites

    Science.gov (United States)

    Huang, Ni; Gu, Lianhong; Black, T. Andrew; Wang, Li; Niu, Zheng

    2015-11-01

    Soil respiration (Rs), an important component of the global carbon cycle, can be estimated using remotely sensed data, but the accuracy of this technique has not been thoroughly investigated. In this study, we proposed a methodology for the remote estimation of annual Rs at two contrasting FLUXNET forest sites (a deciduous broadleaf forest and an evergreen needleleaf forest). A version of the Akaike's information criterion was used to select the best model from a range of models for annual Rs estimation based on the remotely sensed data products from the Moderate Resolution Imaging Spectroradiometer and root-zone soil moisture product derived from assimilation of the NASA Advanced Microwave Scanning Radiometer soil moisture products and a two-layer Palmer water balance model. We found that the Arrhenius-type function based on nighttime land surface temperature (LST-night) was the best model by comprehensively considering the model explanatory power and model complexity at the Missouri Ozark and BC-Campbell River 1949 Douglas-fir sites. In addition, a multicollinearity problem among LST-night, root-zone soil moisture, and plant photosynthesis factor was effectively avoided by selecting the LST-night-driven model. Cross validation showed that temporal variation in Rs was captured by the LST-night-driven model with a mean absolute error below 1 µmol CO2 m-2 s-1 at both forest sites. An obvious overestimation that occurred in 2005 and 2007 at the Missouri Ozark site reduced the evaluation accuracy of cross validation because of summer drought. However, no significant difference was found between the Arrhenius-type function driven by LST-night and the function considering LST-night and root-zone soil moisture. This finding indicated that the contribution of soil moisture to Rs was relatively small at our multiyear data set. To predict intersite Rs, maximum leaf area index (LAImax) was used as an upscaling factor to calibrate the site-specific reference respiration

  5. Utilization of Internet Protocol-Based Voice Systems in Remote Payload Operations

    Science.gov (United States)

    Chamberlain, jim; Bradford, Bob; Best, Susan; Nichols, Kelvin

    2002-01-01

    Due to limited crew availability to support science and the large number of experiments to be operated simultaneously, telescience is key to a successful International Space Station (ISS) science program. Crew, operations personnel at NASA centers, and researchers at universities and companies around the world must work closely together to per orm scientific experiments on-board ISS. The deployment of reliable high-speed Internet Protocol (IP)-based networks promises to greatly enhance telescience capabilities. These networks are now being used to cost-effectively extend the reach of remote mission support systems. They reduce the need for dedicated leased lines and travel while improving distributed workgroup collaboration capabilities. NASA has initiated use of Voice over Internet Protocol (VoIP) to supplement the existing mission voice communications system used by researchers at their remote sites. The Internet Voice Distribution System (IVoDS) connects remote researchers to mission support "loopsll or conferences via NASA networks and Internet 2. Researchers use NODS software on personal computers to talk with operations personnel at NASA centers. IVoDS also has the ;capability, if authorized, to allow researchers to communicate with the ISS crew during experiment operations. NODS was developed by Marshall Space Flight Center with contractors & Technology, First Virtual Communications, Lockheed-Martin, and VoIP Group. NODS is currently undergoing field-testing with full deployment for up to 50 simultaneous users expected in 2002. Research is being performed in parallel with IVoDS deployment for a next-generation system to qualitatively enhance communications among ISS operations personnel. In addition to the current voice capability, video and data/application-sharing capabilities are being investigated. IVoDS technology is also being considered for mission support systems for programs such as Space Launch Initiative and Homeland Defense.

  6. Multi-class remote sensing object recognition based on discriminative sparse representation.

    Science.gov (United States)

    Wang, Xin; Shen, Siqiu; Ning, Chen; Huang, Fengchen; Gao, Hongmin

    2016-02-20

    The automatic recognition of multi-class objects with various backgrounds is a big challenge in the field of remote sensing (RS) image analysis. In this paper, we propose a novel recognition framework for multi-class RS objects based on the discriminative sparse representation. In this framework, the recognition problem is implemented in two stages. In the first, or discriminative dictionary learning stage, considering the characterization of remote sensing objects, the scale-invariant feature transform descriptor is first combined with an improved bag-of-words model for multi-class objects feature extraction and representation. Then, information about each class of training samples is fused into the dictionary learning process; by using the K-singular value decomposition algorithm, a discriminative dictionary can be learned for sparse coding. In the second, or recognition, stage, to improve the computational efficiency, the phase spectrum of a quaternion Fourier transform model is applied to the test image to predict a small set of object candidate locations. Then, a multi-scale sliding window mechanism is utilized to scan the image over those candidate locations to obtain the object candidates (or objects of interest). Subsequently, the sparse coding coefficients of these candidates under the discriminative dictionary are mapped to the discriminative vectors that have a good ability to distinguish different classes of objects. Finally, multi-class object recognition can be accomplished by analyzing these vectors. The experimental results show that the proposed work outperforms a number of state-of-the-art methods for multi-class remote sensing object recognition. PMID:26906591

  7. Remote Sensing-Based Characterization of Settlement Structures for Assessing Local Potential of District Heat

    Directory of Open Access Journals (Sweden)

    Michael Nast

    2011-07-01

    Full Text Available In Europe, heating of houses and commercial areas is one of the major contributors to greenhouse gas emissions. When considering the drastic impact of an increasing emission of greenhouse gases as well as the finiteness of fossil resources, the usage of efficient and renewable energy generation technologies has to be increased. In this context, small-scale heating networks are an important technical component, which enable the efficient and sustainable usage of various heat generation technologies. This paper investigates how the potential of district heating for different settlement structures can be assessed. In particular, we analyze in which way remote sensing and GIS data can assist the planning of optimized heat allocation systems. In order to identify the best suited locations, a spatial model is defined to assess the potential for small district heating networks. Within the spatial model, the local heat demand and the economic costs of the necessary heat allocation infrastructure are compared. Therefore, a first and major step is the detailed characterization of the settlement structure by means of remote sensing data. The method is developed on the basis of a test area in the town of Oberhaching in the South of Germany. The results are validated through detailed in situ data sets and demonstrate that the model facilitates both the calculation of the required input parameters and an accurate assessment of the district heating potential. The described method can be transferred to other investigation areas with a larger spatial extent. The study underlines the range of applications for remote sensing-based analyses with respect to energy-related planning issues.

  8. Retrieval of aerosol composition using ground-based remote sensing measurements

    Science.gov (United States)

    Xie, Yisong; Li, Zhengqiang; Zhang, Ying; Li, Donghui; Li, Kaitao

    2016-04-01

    The chemical composition and mixing states of ambient aerosol are the main factors deciding aerosol microphysical and optical properties, and thus have significant impacts on regional or global climate change and air quality. Traditional approaches to detect atmospheric aerosol composition include sampling with laboratory analysis and in-situ measurements. They can accurately acquire aerosol components, however, the sampling or air exhausting could change the status of ambient aerosol or lead to some mass loss. Additionally, aerosol is usually sampled at the surface level so that it is difficult to detect the columnar aerosol properties. Remote sensing technology, however, can overcome these problems because it is able to detect aerosol information of entire atmosphere by optical and microphysical properties without destructing the natural status of ambient aerosol. This paper introduces a method to acquire aerosol composition by the remote sensing measurements of CIMEL CE318 ground-based sun-sky radiometer. A six component aerosol model is used in this study, including one strong absorbing component Black Carbon (BC), two partly absorbing components Brown Carbon (BrC) and Mineral Dust (MD), two scattering components Ammonia Sulfate-like (AS) and Sea Salt (SS), and Aerosol Water uptake (AW). Sensitivity analysis are performed to find the most sensitive parameters to each component and retrieval method for each component is accordingly developed. Different mixing models such as Maxwell-Garnett (MG), Bruggeman (BR) and Volume Average (VA) are also studied. The residual minimization method is used by comparing remote sensing measurements and simulation outputs to find the optimization of aerosol composition (including volume fraction and mass concentration of each component). This method is applied to measurements obtained from Beijing site under different weather conditions, including polluted haze, dust storm and clean days, to investigate the impacts of mixing

  9. A RBF classification method of remote sensing image based on genetic algorithm

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The remote sensing image classification has stimulated considerable interest as an effective method for better retrieving information from the rapidly increasing large volume, complex and distributed satellite remote imaging data of large scale and cross-time, due to the increase of remote image quantities and image resolutions. In the paper, the genetic algorithms were employed to solve the weighting of the radial basis faction networks in order to improve the precision of remote sensing image classification. The remote sensing image classification was also introduced for the GIS spatial analysis and the spatial online analytical processing (OLAP) ,and the resulted effectiveness was demonstrated in the analysis of land utilization variation of Daqing city.

  10. A Method of Case Retrieval for Web-based Remote Customization Platform

    Directory of Open Access Journals (Sweden)

    Yuhuai Wang

    2014-04-01

    Full Text Available A web-based remote customization platform is developed for hardware product in this paper. To realize the rapid product customization, a case-based reasoning approach based on fuzzy set is put forward. To retrieve the most similar case from the case base, a parabola membership function is constructed based on the fuzzy set, and synthesis weights are introduced by combining subjective weights with objective weights which are calculated based on the deviation information of similarity. Then the model for solving cases' global similarity is set up based on synthesis weights. To improve the accuracy of the similarity measurement, center distance revision method based on area is presented for the Bi-interval type which is one of fuzzy numeric attribute. Implementation example applying above methods is given in the area of electric drill customization. Results show that the presented approach helps to improve the accuracy of the similarity of the case product, and reduce the time and cost of product design process

  11. Remote Stabilization of Copper Paddlewheel Based Molecular Building Blocks in Metal-Organic Frameworks

    Energy Technology Data Exchange (ETDEWEB)

    Gao, Wen-Yang; Cai, Rong; Pham, Tony; Forrest, Katherine A.; Hogan, Adam; Nugent, Patrick; Williams, Kia; Wojtas, Lukasz; Luebke, Ryan; Weseli; #324; ski, Lukasz J.; Zaworotko, Michael J.; Space, Brian; Chen, Yu-Sheng; Eddaoudi, Mohamed; Shi, Xiaodong; Ma, Shengqian (KAUST); (UC); (USF); (WVU)

    2015-08-21

    Copper paddlewheel based molecular building blocks (MBBs) are ubiquitous and have been widely employed for the construction of highly porous metal–organic frameworks (MOFs). However, most copper paddlewheel based MOFs fail to retain their structural integrity in the presence of water. This instability is directly correlated to the plausible displacement of coordinating carboxylates in the copper paddlewheel MBB, [Cu₂(O₂C-)₄], by the strongly coordinating water molecules. In this comprehensive study, we illustrate the chemical stability control in the rht-MOF platform via strengthening the coordinating bonds within the triangular inorganic MBB, [Cu₃O(N4–x(CH)xC-)₃] (x = 0, 1, or 2). Remotely, the chemical stabilization propagated into the paddlewheel MBB to afford isoreticular rht-MOFs with remarkably enhanced water/chemical stabilities compared to the prototypal rht-MOF-1.

  12. SOA Meets Robots - A Service-Based Software Infrastructure for Remote Laboratories

    Directory of Open Access Journals (Sweden)

    Frank Feinbube

    2008-05-01

    Full Text Available With the ongoing internationalization of virtual laboratories, the integration aspect becomes more important. The meanwhile commonly accepted ’glue’ for such legacy systems are service oriented architectures, based on standardized and accepted Web service standards. We present our concept of the ’experiment as a service’, where the idea of service-based architectures is applied to virtual remote laboratories. In our laboratory middleware, experiments are represented as stateful service implementations and jobs as logical service instances of these implementations. We discuss performance, reliability, security and monitoring issues in this approach, and show how the resulting infrastructure - the Distributed Control Lab - is applied in the European VetTrend project.

  13. Research on ground-based LWIR hyperspectral imaging remote gas detection

    Science.gov (United States)

    Yang, Zhixiong; Yu, Chunchao; Zheng, Weijian; Lei, Zhenggang; Yan, Min; Yuan, Xiaochun; Zhang, Peizhong

    2015-10-01

    The new progress of ground-based long-wave infrared remote sensing is presented, which describes the windowing spatial and temporal modulation Fourier spectroscopy imaging in details. The prototype forms the interference fringes based on the corner-cube of spatial modulation of Michelson interferometer, using cooled long-wave infrared photovoltaic staring FPA (focal plane array) detector. The LWIR hyperspectral imaging is achieved by the process of collection, reorganization, correction, apodization, FFT etc. from data cube. Noise equivalent sensor response (NESR), which is the sensitivity index of CHIPED-1 LWIR hyperspectral imaging prototype, can reach 5.6×10-8W/(cm-1.sr.cm2) at single sampling. Hyperspectral imaging is used in the field of organic gas VOC infrared detection. Relative to wide band infrared imaging, it has some advantages. Such as, it has high sensitivity, the strong anti-interference ability, identify the variety, and so on.

  14. [Ecosystem services evaluation based on geographic information system and remote sensing technology: a review].

    Science.gov (United States)

    Li, Wen-Jie; Zhang, Shi-Huang; Wang, Hui-Min

    2011-12-01

    Ecosystem services evaluation is a hot topic in current ecosystem management, and has a close link with human beings welfare. This paper summarized the research progress on the evaluation of ecosystem services based on geographic information system (GIS) and remote sensing (RS) technology, which could be reduced to the following three characters, i. e., ecological economics theory is widely applied as a key method in quantifying ecosystem services, GIS and RS technology play a key role in multi-source data acquisition, spatiotemporal analysis, and integrated platform, and ecosystem mechanism model becomes a powerful tool for understanding the relationships between natural phenomena and human activities. Aiming at the present research status and its inadequacies, this paper put forward an "Assembly Line" framework, which was a distributed one with scalable characteristics, and discussed the future development trend of the integration research on ecosystem services evaluation based on GIS and RS technologies.

  15. New radiological material detection technologies for nuclear forensics: Remote optical imaging and graphene-based sensors.

    Energy Technology Data Exchange (ETDEWEB)

    Harrison, Richard Karl [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Martin, Jeffrey B. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Wiemann, Dora K. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Choi, Junoh [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Howell, Stephen W. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-09-01

    We developed new detector technologies to identify the presence of radioactive materials for nuclear forensics applications. First, we investigated an optical radiation detection technique based on imaging nitrogen fluorescence excited by ionizing radiation. We demonstrated optical detection in air under indoor and outdoor conditions for alpha particles and gamma radiation at distances up to 75 meters. We also contributed to the development of next generation systems and concepts that could enable remote detection at distances greater than 1 km, and originated a concept that could enable daytime operation of the technique. A second area of research was the development of room-temperature graphene-based sensors for radiation detection and measurement. In this project, we observed tunable optical and charged particle detection, and developed improved devices. With further development, the advancements described in this report could enable new capabilities for nuclear forensics applications.

  16. Remote stabilization of copper paddlewheel based molecular building blocks in metal-organic frameworks

    KAUST Repository

    Gao, Wenyang

    2015-03-24

    Copper paddlewheel based molecular building blocks (MBBs) are ubiquitous and have been widely employed for the construction of highly porous metal-organic frameworks (MOFs). However, most copper paddlewheel based MOFs fail to retain their structural integrity in the presence of water. This instability is directly correlated to the plausible displacement of coordinating carboxylates in the copper paddlewheel MBB, [Cu2(O2C-)4], by the strongly coordinating water molecules. In this comprehensive study, we illustrate the chemical stability control in the rht-MOF platform via strengthening the coordinating bonds within the triangular inorganic MBB, [Cu3O(N4-x(CH)xC-)3] (x = 0, 1, or 2). Remotely, the chemical stabilization propagated into the paddlewheel MBB to afford isoreticular rht-MOFs with remarkably enhanced water/chemical stabilities compared to the prototypal rht-MOF-1. © 2015 American Chemical Society.

  17. A nuclear medicine information system that allows reporting and sending images through intranet

    International Nuclear Information System (INIS)

    A nuclear medicine information system that allows reporting and sending images through intranet. Aim: This system was developed in order to improve the processes of typing, correcting, verifying and distribution of the reports and images, improving the efficiency of the personnel in the nuclear medicine department and reducing the time between the creation of the report and its reading by the referring physician. Materials and Methods: The system runs a web server (Personal Web Server, Microsoft) which serves web pages written in hypertext markup language (HTML) and active server pages (ASP). The database utilized is Microsoft Access 97. The whole communication between the web server and the database is performed by the programs written in ASP. Integrating the images from the patients is done through a 486 ibm-pc running Red Hat Linux, which serves as an intermediary between the isolated nuclear medicine network and the hospital's network. Results: The time from report verification and referring physician reading has decreased from approximately 24 hours to 12 hours. It is possible to run queries in the system in order to get productivity reports or clinical research. Imaging storage allows for correlation of current and previous studies. Conclusion: Bureaucratic processes have diminished to a certain extent in the department. Reports are now online as soon as they are verified by the nuclear medicine physician. There is no need to install dedicated software in the viewing stations since the whole system runs in the server

  18. Internet-Based Device-Assisted Remote Monitoring of Cardiovascular Implantable Electronic Devices

    Science.gov (United States)

    Pron, G; Ieraci, L; Kaulback, K

    2012-01-01

    Executive Summary Objective The objective of this Medical Advisory Secretariat (MAS) report was to conduct a systematic review of the available published evidence on the safety, effectiveness, and cost-effectiveness of Internet-based device-assisted remote monitoring systems (RMSs) for therapeutic cardiac implantable electronic devices (CIEDs) such as pacemakers (PMs), implantable cardioverter-defibrillators (ICDs), and cardiac resynchronization therapy (CRT) devices. The MAS evidence-based review was performed to support public financing decisions. Clinical Need: Condition and Target Population Sudden cardiac death (SCD) is a major cause of fatalities in developed countries. In the United States almost half a million people die of SCD annually, resulting in more deaths than stroke, lung cancer, breast cancer, and AIDS combined. In Canada each year more than 40,000 people die from a cardiovascular related cause; approximately half of these deaths are attributable to SCD. Most cases of SCD occur in the general population typically in those without a known history of heart disease. Most SCDs are caused by cardiac arrhythmia, an abnormal heart rhythm caused by malfunctions of the heart’s electrical system. Up to half of patients with significant heart failure (HF) also have advanced conduction abnormalities. Cardiac arrhythmias are managed by a variety of drugs, ablative procedures, and therapeutic CIEDs. The range of CIEDs includes pacemakers (PMs), implantable cardioverter-defibrillators (ICDs), and cardiac resynchronization therapy (CRT) devices. Bradycardia is the main indication for PMs and individuals at high risk for SCD are often treated by ICDs. Heart failure (HF) is also a significant health problem and is the most frequent cause of hospitalization in those over 65 years of age. Patients with moderate to severe HF may also have cardiac arrhythmias, although the cause may be related more to heart pump or haemodynamic failure. The presence of HF, however

  19. Remote information service access system based on a client-server-service model

    Science.gov (United States)

    Konrad, Allan M.

    1996-01-01

    A local host computing system, a remote host computing system as connected by a network, and service functionalities: a human interface service functionality, a starter service functionality, and a desired utility service functionality, and a Client-Server-Service (CSS) model is imposed on each service functionality. In one embodiment, this results in nine logical components and three physical components (a local host, a remote host, and an intervening network), where two of the logical components are integrated into one Remote Object Client component, and that Remote Object Client component and the other seven logical components are deployed among the local host and remote host in a manner which eases compatibility and upgrade problems, and provides an illusion to a user that a desired utility service supported on a remote host resides locally on the user's local host, thereby providing ease of use and minimal software maintenance for users of that remote service.

  20. METHOD OF GROUP OBJECTS FORMING FOR SPACE-BASED REMOTE SENSING OF THE EARTH

    Directory of Open Access Journals (Sweden)

    A. N. Grigoriev

    2015-07-01

    Full Text Available Subject of Research. Research findings of the specific application of space-based optical-electronic and radar means for the Earth remote sensing are considered. The subject matter of the study is the current planning of objects survey on the underlying surface in order to increase the effectiveness of sensing system due to the rational use of its resources. Method. New concept of a group object, stochastic swath and stochastic length of the route is introduced. The overview of models for single, group objects and their parameters is given. The criterion for the existence of the group object based on two single objects is formulated. The method for group objects formation while current survey planning has been developed and its description is presented. The method comprises several processing stages for data about objects with the calculation of new parameters, the stochastic characteristics of space means and validates the spatial size of the object value of the stochastic swath and stochastic length of the route. The strict mathematical description of techniques for model creation of a group object based on data about a single object and onboard special complex facilities in difficult conditions of registration of spatial data is given. Main Results. The developed method is implemented on the basis of modern geographic information system in the form of a software tool layout with advanced tools of processing and analysis of spatial data in vector format. Experimental studies of the forming method for the group of objects were carried out on a different real object environment using the parameters of modern national systems of the Earth remote sensing detailed observation Canopus-B and Resurs-P. Practical Relevance. The proposed models and method are focused on practical implementation using vector spatial data models and modern geoinformation technologies. Practical value lies in the reduction in the amount of consumable resources by means of

  1. Distinctive Order Based Self-Similarity descriptor for multi-sensor remote sensing image matching

    Science.gov (United States)

    Sedaghat, Amin; Ebadi, Hamid

    2015-10-01

    Robust, well-distributed and accurate feature matching in multi-sensor remote sensing image is a difficult task duo to significant geometric and illumination differences. In this paper, a robust and effective image matching approach is presented for multi-sensor remote sensing images. The proposed approach consists of three main steps. In the first step, UR-SIFT (Uniform robust scale invariant feature transform) algorithm is applied for uniform and dense local feature extraction. In the second step, a novel descriptor namely Distinctive Order Based Self Similarity descriptor, DOBSS descriptor, is computed for each extracted feature. Finally, a cross matching process followed by a consistency check in the projective transformation model is performed for feature correspondence and mismatch elimination. The proposed method was successfully applied for matching various multi-sensor satellite images as: ETM+, SPOT 4, SPOT 5, ASTER, IRS, SPOT 6, QuickBird, GeoEye and Worldview sensors, and the results demonstrate its robustness and capability compared to common image matching techniques such as SIFT, PIIFD, GLOH, LIOP and LSS.

  2. Advances in estimation methods of vegetation water content based on optical remote sensing techniques

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Quantitative estimation of vegetation water content(VWC) using optical remote sensing techniques is helpful in forest fire as-sessment,agricultural drought monitoring and crop yield estimation.This paper reviews the research advances of VWC retrieval using spectral reflectance,spectral water index and radiative transfer model(RTM) methods.It also evaluates the reli-ability of VWC estimation using spectral water index from the observation data and the RTM.Focusing on two main definitions of VWC-the fuel moisture content(FMC) and the equivalent water thickness(EWT),the retrieval accuracies of FMC and EWT using vegetation water indices are analyzed.Moreover,the measured information and the dataset are used to estimate VWC,the results show there are significant correlations among three kinds of vegetation water indices(i.e.,WSI,NDⅡ,NDWI1640,WI/NDVI) and canopy FMC of winter wheat(n=45).Finally,the future development directions of VWC detection based on optical remote sensing techniques are also summarized.

  3. An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing

    Directory of Open Access Journals (Sweden)

    Chenghai Yang

    2014-06-01

    Full Text Available This paper describes the design and evaluation of an airborne multispectral imaging system based on two identical consumer-grade cameras for agricultural remote sensing. The cameras are equipped with a full-frame complementary metal oxide semiconductor (CMOS sensor with 5616 × 3744 pixels. One camera captures normal color images, while the other is modified to obtain near-infrared (NIR images. The color camera is also equipped with a GPS receiver to allow geotagged images. A remote control is used to trigger both cameras simultaneously. Images are stored in 14-bit RAW and 8-bit JPEG files in CompactFlash cards. The second-order transformation was used to align the color and NIR images to achieve subpixel alignment in four-band images. The imaging system was tested under various flight and land cover conditions and optimal camera settings were determined for airborne image acquisition. Images were captured at altitudes of 305–3050 m (1000–10,000 ft and pixel sizes of 0.1–1.0 m were achieved. Four practical application examples are presented to illustrate how the imaging system was used to estimate cotton canopy cover, detect cotton root rot, and map henbit and giant reed infestations. Preliminary analysis of example images has shown that this system has potential for crop condition assessment, pest detection, and other agricultural applications.

  4. The remote supervisory and controlling experiment system of traditional Chinese medicine production based on Fieldbus

    Science.gov (United States)

    Zhan, Jinliang; Lu, Pei

    2006-11-01

    Since the quality of traditional Chinese medicine products are affected by raw material, machining and many other factors, it is difficult for traditional Chinese medicine production process especially the extracting process to ensure the steady and homogeneous quality. At the same time, there exist some quality control blind spots due to lacking on-line quality detection means. But if infrared spectrum analysis technology was used in traditional Chinese medicine production process on the basis of off-line analysis to real-time detect the quality of semi-manufactured goods and to be assisted by advanced automatic control technique, the steady and homogeneous quality can be obtained. It can be seen that the on-line detection of extracting process plays an important role in the development of Chinese patent medicines industry. In this paper, the design and implement of a traditional Chinese medicine extracting process monitoring experiment system which is based on PROFIBUS-DP field bus, OPC, and Internet technology is introduced. The system integrates intelligence node which gathering data, superior sub-system which achieving figure configuration and remote supervisory, during the process of traditional Chinese medicine production, monitors the temperature parameter, pressure parameter, quality parameter etc. And it can be controlled by the remote nodes in the VPN (Visual Private Network). Experiment and application do have proved that the system can reach the anticipation effect fully, and with the merits of operational stability, real-time, reliable, convenient and simple manipulation and so on.

  5. Prioritization of catchments based on soil erosion using remote sensing and GIS.

    Science.gov (United States)

    Khadse, Gajanan K; Vijay, Ritesh; Labhasetwar, Pawan K

    2015-06-01

    Water and soil are the most essential natural resources for socioeconomic development and sustenance of life. A study of soil and water dynamics at a watershed level facilitates a scientific approach towards their conservation and management. Remote sensing and Geographic Information System are tools that help to plan and manage natural resources on watershed basis. Studies were conducted for the formulation of catchment area treatment plan based on watershed prioritization with soil erosion studies using remote sensing techniques, corroborated with Geographic Information System (GIS), secondary data and ground truth information. Estimation of runoff and sediment yield is necessary in prioritization of catchment for the design of soil conservation structures and for identifying the critical erosion-prone areas of a catchment for implementation of best management plan with limited resources. The Universal Soil Loss Equation, Sediment Yield Determination and silt yield index methods are used for runoff and soil loss estimation for prioritization of the catchments. On the basis of soil erosion classes, the watersheds were grouped into very high, high, moderate and low priorities. High-priority watersheds need immediate attention for soil and water conservation, whereas low-priority watershed having good vegetative cover and low silt yield index may not need immediate attention for such treatments.

  6. Vision-Based Haptic Feedback for Remote Micromanipulation in-SEM Environment

    Science.gov (United States)

    Bolopion, Aude; Dahmen, Christian; Stolle, Christian; Haliyo, Sinan; Régnier, Stéphane; Fatikow, Sergej

    2012-07-01

    This article presents an intuitive environment for remote micromanipulation composed of both haptic feedback and virtual reconstruction of the scene. To enable nonexpert users to perform complex teleoperated micromanipulation tasks, it is of utmost importance to provide them with information about the 3-D relative positions of the objects and the tools. Haptic feedback is an intuitive way to transmit such information. Since position sensors are not available at this scale, visual feedback is used to derive information about the scene. In this work, three different techniques are implemented, evaluated, and compared to derive the object positions from scanning electron microscope images. The modified correlation matching with generated template algorithm is accurate and provides reliable detection of objects. To track the tool, a marker-based approach is chosen since fast detection is required for stable haptic feedback. Information derived from these algorithms is used to propose an intuitive remote manipulation system that enables users situated in geographically distant sites to benefit from specific equipments, such as SEMs. Stability of the haptic feedback is ensured by the minimization of the delays, the computational efficiency of vision algorithms, and the proper tuning of the haptic coupling. Virtual guides are proposed to avoid any involuntary collisions between the tool and the objects. This approach is validated by a teleoperation involving melamine microspheres with a diameter of less than 2 μ m between Paris, France and Oldenburg, Germany.

  7. Remote monitoring and security alert based on motion detection using mobile

    Science.gov (United States)

    Suganya Devi, K.; Srinivasan, P.

    2016-03-01

    Background model does not have any robust solution and constitutes one of the main problems in surveillance systems. The aim of the paper is to provide a mobile based security to a remote monitoring system through a WAP using GSM modem. It is most designed to provide durability and versatility for a wide variety of indoor and outdoor applications. It is compatible with both narrow and band networks and provides simultaneous image detection. The communicator provides remote control, event driven recording, including pre-alarm and post-alarm and image motion detection. The web cam allowing them to be mounted either to a ceiling or wall without requiring bracket, with the use of web cam. We could continuously monitoring status in the client system through the web. If any intruder arrives in the client system, server will provide an alert to the mobile (what we are set in the message that message send to the authorized person) and the client can view the image using WAP.

  8. [Remote intelligent Brunnstrom assessment system for upper limb rehabilitation for post-stroke based on extreme learning machine].

    Science.gov (United States)

    Wang, Yue; Yu, Lei; Fu, Jianming; Fang, Qiang

    2014-04-01

    In order to realize an individualized and specialized rehabilitation assessment of remoteness and intelligence, we set up a remote intelligent assessment system of upper limb movement function of post-stroke patients during rehabilitation. By using the remote rehabilitation training sensors and client data sampling software, we collected and uploaded the gesture data from a patient's forearm and upper arm during rehabilitation training to database of the server. Then a remote intelligent assessment system, which had been developed based on the extreme learning machine (ELM) algorithm and Brunnstrom stage assessment standard, was used to evaluate the gesture data. To evaluate the reliability of the proposed method, a group of 23 stroke patients, whose upper limb movement functions were in different recovery stages, and 4 healthy people, whose upper limb movement functions were normal, were recruited to finish the same training task. The results showed that, compared to that of the experienced rehabilitation expert who used the Brunnstrom stage standard table, the accuracy of the proposed remote Brunnstrom intelligent assessment system can reach a higher level, as 92.1%. The practical effects of surgery have proved that the proposed system could realize the intelligent assessment of upper limb movement function of post-stroke patients remotely, and it could also make the rehabilitation of the post-stroke patients at home or in a community care center possible.

  9. Eye-Base Domestic Robot Allowing Patient to Be Self-Services and Communications Remotely

    Directory of Open Access Journals (Sweden)

    Kohei Arai

    2013-02-01

    Full Text Available Eye-based domestic helper is proposed for helping patient self-sufficient in hospital circumstance. This kind of system will benefit for those patient who cannot move around, it especially happen to stroke patient who in the daily they just lay on the bed. They could not move around due to the body malfunction. The only information that still could be retrieved from user is eyes. In this research, we develop a new system in the form of domestic robot helper controlled by eye which allows patient self-service and speaks remotely. First, we estimate user sight by placing camera mounted on user glasses. Once eye image is captured, the several image processing are used to estimate the sight. Eye image is cropped from the source for simplifying the area. We detect the centre of eye by seeking the location of pupil. The pupil and other eye component could be easily distinguished based on the color. Because pupil has darker color than others, we just apply adaptive threshold for its separation. By using simple model of eye, we could estimate the sight based on the input from pupil location. Next, the obtained sight value is used as input command to the domestic robot. User could control the moving of robot by eye. Also, user could send the voice through text to speech functionality. We use baby infant robot as our domestic robot. We control the robot movement by sending the command via serial communication (utilizing the USB to serial adapter. Three types of command consist of move forward, turn left, and turn right are used in the system for moving the robot. In the robot, we place another camera for capturing the scenery in the front of robot. Between robot and user, they are separated by distance. They are connected over TCP/IP network. The network allows user control the robot remotely. We set the robot as server and user’s computer as client. The robot streams the scenery video and receives command sending by the client. In the other place

  10. Remote-Sensing-Based Evaluation of Relative Consumptive Use Between Flood- and Drip-Irrigated Fields

    Science.gov (United States)

    Martinez Baquero, G. F.; Jordan, D. L.; Whittaker, A. T.; Allen, R. G.

    2013-12-01

    Governments and water authorities are compelled to evaluate the impacts of agricultural irrigation on economic development and sustainability as water supply shortages continue to increase in many communities. One of the strategies commonly used to reduce such impacts is the conversion of traditional irrigation methods towards more water-efficient practices. As part of a larger effort by the New Mexico Interstate Stream Commission to understand the environmental and economic impact of converting from flood irrigation to drip irrigation, this study evaluates the water-saving effectiveness of drip irrigation in Deming, New Mexico, using a remote-sensing-based technique combined with ground data collection. The remote-sensing-based technique used relative temperature differences as a proxy for water use to show relative differences in crop consumptive use between flood- and drip-irrigated fields. Temperature analysis showed that, on average, drip-irrigated fields were cooler than flood-irrigated fields, indicating higher water use. The higher consumption of water by drip-irrigated fields was supported by a determination of evapotranspiration (ET) from all fields using the METRIC Landsat-based surface energy balance model. METRIC analysis yielded higher instantaneous ET for drip-irrigated fields when compared to flood-irrigated fields and confirmed that drip-irrigated fields consumed more water than flood-irrigated fields planted with the same crop. More water use generally results in more biomass and hence higher crop yield, and this too was confirmed by greater relative Normalized Difference Vegetation Index for the drip irrigated fields. Results from this study confirm previous estimates regarding the impacts of increased efficiency of drip irrigation on higher water consumption in the area (Ward and Pulido-Velazquez, 2008). The higher water consumption occurs with drip because, with the limited water supplies and regulated maximum limits on pumping amounts, the

  11. Email based remote access and surveillance system for smart home infrastructure

    Directory of Open Access Journals (Sweden)

    Pooshkar Rajiv

    2016-09-01

    Full Text Available With the rapid rise of Internet of Things in public domain, people expect fast, reliable and on-demand home security via the Internet. However, existing remote home surveillance systems place a very rigid constraint on authentication and require customized hardware and software. In this paper we have proposed an ingenious and reliable internet based, home access system for smart homes that can be easily deployed on generic hardware. The proposed architecture uses popular email service providers to notify and update the user about the home access. It sends an email to the owner with the attached picture of the person who is at the door. It also incorporates a protected mechanism to give access of the door to a remote user by responding to that email. It essentially means that we can view and give access to the person at our door via sending and receiving an email. Furthermore, an image processing based mechanism has also been incorporated to provide access without email, to few selected personnel who are trusted by the owner. It works by capturing and comparing the visitor's image with the stored images in the database. Perceptual hashing or fingerprint matching algorithm is used for comparison purposes. Similarity percentage based on hamming distance was evaluated, and the similarity threshold for providing access was set. The simulations were performed in rigorous environment. The efficiency of the hashing algorithm was found to be 97% at the similarity threshold of 95%. The results validate that the average latency is only 155 ms with low standard deviation. The CPU utilization remained quite low with a minimum value of 10 MHz and a maximum value of 30 MHz when the payload size of the sent mail was increased to 1500 kB. Thus, the proposed system can be used for developing a larger low power infrastructure.

  12. Annual South American Forest Loss Estimates (1989-2011) Based on Passive Microwave Remote Sensing

    Science.gov (United States)

    van Marle, M.; van der Werf, G.; de Jeu, R.; Liu, Y.

    2014-12-01

    Vegetation dynamics, such as forest loss, are an important factor in global climate, but long-term and consistent information on these dynamics on continental scales is lacking. We have quantified large-scale forest loss over the 90s and 00s in the tropical biomes of South America using a passive-microwave satellite-based vegetation product. Our forest loss estimates are based on remotely sensed vegetation optical depth (VOD), which is an indicator of vegetation water content simultaneously retrieved with soil moisture. The advantage of low-frequency microwave remote sensing is that aerosols and clouds do not affect the observations. Furthermore, the longer wavelengths of passive microwaves penetrate deeper into vegetation than other products derived from optical and thermal sensors. This has the consequence that both woody parts of vegetation and leaves can be observed. The merged VOD product of AMSR-E and SSM/I observations, which covers over 23 years of daily observations, is used. We used this data stream and an outlier detection algorithm to quantify spatial and temporal variations in forest loss dynamics. Qualitatively, our results compared favorably to the newly developed Global Forest Change (GFC) maps based on Landsat data (r2=0.96), and this allowed us to convert the VOD outlier count to forest loss. Our results are spatially explicit with a 0.25-degree resolution and annual time step and we will present our estimates on country level. The added benefit of our results compared to GFC is the longer time period. The results indicate a relatively steady increase in forest loss in Brazil from 1989 until 2003, followed by two high forest loss years and a declining trend afterwards. This contrasts with other South American countries such as Bolivia and Peru, where forest losses increased in almost the whole 00s in comparison with the 90s.

  13. Community-based clinical education increases motivation of medical students to medicine of remote area: comparison between lecture and practice.

    Science.gov (United States)

    Tani, Kenji; Yamaguchi, Harutaka; Tada, Saaya; Kondo, Saki; Tabata, Ryo; Yuasa, Shino; Kawaminami, Shingo; Nakanishi, Yoshinori; Ito, Jun; Shimizu, Nobuhiko; Obata, Fumiaki; Shin, Teruki; Bando, Hiroyasu; Kohno, Mitsuhiro

    2014-01-01

    In this study, we administered a questionnaire to medical students to evaluate the effect of community-based clinical education on their attitudes to community medicine and medicine in remote area. Questionnaires were given 4 times to all the students from first-year to sixth-year. Of 95 students, 65 students (68.4%) who completed all questionnaires, were used in this study. The intensity of students' attitudes was estimated by using visual analogue scale. The intensity of interest, a sense of fulfillment and passion in medicine of remote area was significantly increased after the community-based practice. On the other hand, the level of understanding in medicine in remote area was increased by the lecture not by the practice. The intensity of desire both to become a generalist and a specialist was significantly increased when the grade went up. Most of sixth-year students desired to have abilities of a generalist and a specialist simultaneously. This study shows that the community-based practice is more meaningful in increasing motivation in medicine in remote area than the lecture, and suggests that it is important to prepare more courses to experience community medicine to increase the number of physicians who desire to work in remote area. PMID:24705761

  14. Improving Distributed Runoff Prediction in Urbanized Catchments with Remote Sensing based Estimates of Impervious Surface Cover

    Science.gov (United States)

    Chormanski, Jaroslaw; Van de Voorde, Tim; De Roeck, Tim; Batelaan, Okke; Canters, Frank

    2008-01-01

    The amount and intensity of runoff on catchment scale are strongly determined by the presence of impervious land-cover types, which are the predominant cover types in urbanized areas. This paper examines the impact of different methods for estimating impervious surface cover on the prediction of peak discharges, as determined by a fully distributed rainfall-runoff model (WetSpa), for the upper part of the Woluwe River catchment in the southeastern part of Brussels. The study shows that detailed information on the spatial distribution of impervious surfaces, as obtained from remotely sensed data, produces substantially different estimates of peak discharges than traditional approaches based on expert judgment of average imperviousness for different types of urban land use. The study also demonstrates that sub-pixel estimation of imperviousness may be a useful alternative for more expensive high-resolution mapping for rainfall-runoff modelling at catchment scale.

  15. A Novel Digital Certificate Based Remote Data Access Control Scheme in WSN

    Directory of Open Access Journals (Sweden)

    Wei Liang

    2015-01-01

    Full Text Available A digital certificate based remote data access control scheme is proposed for safe authentication of accessor in wireless sensor network (WSN. The scheme is founded on the access control scheme on the basis of characteristic expression (named CEB scheme. Data is divided by characteristics and the key for encryption is related to characteristic expression. Only the key matching with characteristic expression can decrypt the data. Meanwhile, three distributed certificate detection methods are designed to prevent the certificate from being misappropriated by hostile anonymous users. When a user starts query, the key access control method can judge whether the query is valid. In this case, the scheme can achieve public certificate of users and effectively protect query privacy as well. The security analysis and experiments show that the proposed scheme is superior in communication overhead, storage overhead, and detection probability.

  16. Evaluation of Eco-Environmental Frangibility Based on Remote Sensing and Geographic Information System

    Institute of Scientific and Technical Information of China (English)

    WU Hua; TAG Heping; LU Yuan

    2007-01-01

    The eco-environmental frangibility is studied by choosing the factors of land use class change and vegetation cover rate, and the equation of eco-environmental frangibility and its evaluation system are established based on remote sensing (RS) and geographic information system technology (GIS). Four different years of TM images are selected to calculate land use change grads and vegetation cover rate, and the relationship between the two factors and eco-environment frangibility index are build, taking Fuzhou as an example. The character of times change and space distribution of eco-environment frangibility are described. The result indicates the area of eco-environment frangibility increased 2.6% in Fuzhou during twelve years, and expands from the region between infield and forest land to forest land in space distribution.

  17. Identification of Contamination Information of Vegetation in Coal Mines Based on Hyperspectral Remote Sensing Data

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    The development and application of the hyper-spectral remote sensing (HRS) in the environment investigation and evaluation of coal mines have been discussed in detail. By using Hyperion HRS technology and field spectrum measuring and integrating traditional geological method as well as laboratory chemical measurement, the absorption spectrum features and the spectral variation rules of vegetation caused by coal mine waste piles were studied. Based on the spectral modeling methods and Vegetation Red Edge Parameter (VREP), the diagnose spectra information and spectral variation parameter were extracted, and the mapping methods of VREP were researched. The spatial distributions of contaminative vegetation have been quickly found out.This study has provided technical supports for the environment investigation and pollution management of coal mines.

  18. Multifunctional fiber-optic microwave links based on remote heterodyne detection

    DEFF Research Database (Denmark)

    Gliese, Ulrik Bo; Nielsen, Torben Nørskov; Nielsen, Søren Nørskov;

    1998-01-01

    fiber-optic microwave links. The resulting links are inherently transparent. As opposed to DD links, RHD links can perform radio-system functionalities such as modulation and frequency conversion in addition to transparency. All of these three functionalities are presented and experimentally...... carrier to a 9-GHz carrier with penalty-free transmission over 25 km of optical fiber. Finally, the transparent link transmits a standard FM video 7.6-GHz radio-link signal over 25 km of optical fiber without measurable distortion......The multifunctionality of microwave links based on remote heterodyne detection (RHD) of signals from a dual-frequency laser transmitter is discussed and experimentally demonstrated in this paper. Typically, direct detection (DD) in conjunction with optical intensity modulation is used to implement...

  19. Remote monitoring based on Modbus%基于Modbus的远程监控

    Institute of Scientific and Technical Information of China (English)

    林雪; 黄昶

    2011-01-01

    通过对Modbus的研究,利用LabView平台实现了客户端程序,完成了对网络上支持该协议的设备的访问.以研华公司提供的ADAM-6050为例,实现了对其的实时远程监控,以及灵活配置.%Based on the research of Modbus, we completed the client application with the platform of Lab View and accomplished the access to the device supporting the protocol on the web. Taking the ADAM-6050 from YanHua Corporation for example, we achieved remote real-time monitoring with flexible configuration.

  20. Multi-spectral remote sensing image enhancement method based on PCA and IHS transformations

    Institute of Scientific and Technical Information of China (English)

    Shan-long LU; Le-jun ZOU; Xiao-hua SHEN; Wen-yuan WU; Wei ZHANG

    2011-01-01

    This paper introduces a new enhancement method for multi-spectral satellite remote sensing imagery, based on principal component analysis (PCA) and intensity-hue-saturation (IHS) transformations. The PCA and the IHS transformations are used to separate the spatial information of the multi-spectral image into the first principal component and the intensity component,respectively. The enhanced image is obtained by replacing the intensity component of the IHS transformation with the first principal component of the PCA transformation, and undertaking the inverse IHS transformation. The objective of the proposed method is to make greater use of the spatial and spectral information contained in the original multi-spectral image. On the basis of the visual and statistical analysis results of the experimental study, we can conclude that the proposed method is an ideal new way for multi-spectral image quality enhancement with little color distortion. It has potential advantages in image mapping optimization, object recognition, and weak information sharpening.

  1. Integrated ground-based and remotely sensed data to support global studies of environmental change

    Energy Technology Data Exchange (ETDEWEB)

    Olson, R.J.; Turner, R.S.; Garten, C.T.

    1994-09-15

    Data centers routinely archive and distribute large databases of high quality and with rigorous documentation but, to meet the needs of global studies effectively and efficiently, data centers must go beyond these traditional roles. Global studies of environmental change require integrated databases of multiple data types that are accurately coordinated in terms of spatial, temporal and thematic properties. Such datasets must be designed and developed jointly by scientific researchers, computer specialists, and policy analysts. The presentation focuses on our approach for organizing data from ground-based research programs so that the data can be linked with remotely sensed data and other map data into integrated databases with spatial, temporal, and thematic characteristics relevant to global studies. The development of an integrated database for Net Primary Productivity is described to illustrate the process.

  2. Inductance-based sensing technique for wireless,remote-query measurement in liquid media

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    A novel inductance-based sensing technique is presented for remote query measurement in different liquid media including organic solvents and inorganic solutions.The inorganic solutions tested included salt solutions of different concentrations,and the organic solvents detected included 1,4-dioxane and tetrahydrofuran.To extend the application of the sensor,bacterial culture media were also detected,and the growth of Escherichia coli (E.coli) was controlled.The influential factors which may affect the inductance responses were studied in detail.It was found that quantitative relationships exist between the sensor’s inductance response and the physico-chemical parameters of the liquid media.The sensor’s inductance response (L) decreases with the increase of salt concentration (C) and its ionic valence (e) according to a semi-logarithmic equation LgL =-aeC + b,where a and b are constants,which is in accordance with the theoretically deduced equation.The inductance variation rate (ΔK) increases directly with the temperature (T): ΔK = a′ T + b′.As for organic solutions,the sensor’s inductance was found to increase with the increasing permittivity of the organic solution.The wireless sensor we designed is simple and easy to manipulate.It has the potential for remote determination of not only chemical substances but also microbiological species such as bacteria.Using the newly developed inductance-based sensor,the pathogenic E.coli was monitored with a limit of detection of 10 cells/mL and a linear semi-logarithmic range of 1.0 × 101 to 2.5 × 109 cells/mL.

  3. Investigating rural poverty and marginality in Burkina Faso using remote sensing-based products

    Science.gov (United States)

    Imran, M.; Stein, A.; Zurita-Milla, R.

    2014-02-01

    Poverty at the national and sub-national level is commonly mapped on the basis of household surveys. Typical poverty metrics like the head count index are not able to identify its underlaying factors, particularly in rural economies based on subsistence agriculture. This paper relates agro-ecological marginality identified from regional and global datasets including remote sensing products like the normalized difference vegetation index (NDVI) and rainfall to rural agricultural production and food consumption in Burkina Faso. The objective is to analyze poverty patterns and to generate a fine resolution poverty map at the national scale. We compose a new indicator from a range of welfare indicators quantified from Georeferenced household surveys, indicating a spatially varying set of welfare and poverty states of rural communities. Next, a local spatial regression is used to relate each welfare and poverty state to the agro-ecological marginality. Our results show strong spatial dependency of welfare and poverty states over agro-ecological marginality in heterogeneous regions, indicating that environmental factors affect living conditions in rural communities. The agro-ecological stress and related marginality vary locally between rural communities within each region. About 58% variance in the welfare indicator is explained by the factors of rural agricultural production and 42% is explained by the factor of food consumption. We found that the spatially explicit approach based on multi-temporal remote sensing products effectively summarizes information on poverty and facilitates further interpretation of the newly developed welfare indicator. The proposed method was validated with poverty incidence obtained from national surveys.

  4. Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China

    Directory of Open Access Journals (Sweden)

    Shanyu Huang

    2015-08-01

    Full Text Available Rice farming in Northeast China is crucially important for China’s food security and sustainable development. A key challenge is how to optimize nitrogen (N management to ensure high yield production while improving N use efficiency and protecting the environment. Handheld chlorophyll meter (CM and active crop canopy sensors have been used to improve rice N management in this region. However, these technologies are still time consuming for large-scale applications. Satellite remote sensing provides a promising technology for large-scale crop growth monitoring and precision management. The objective of this study was to evaluate the potential of using FORMOSAT-2 satellite images to diagnose rice N status for guiding topdressing N application at the stem elongation stage in Northeast China. Five farmers’ fields (three in 2011 and two in 2012 were selected from the Qixing Farm in Heilongjiang Province of Northeast China. FORMOSAT-2 satellite images were collected in late June. Simultaneously, 92 field samples were collected and six agronomic variables, including aboveground biomass, leaf area index (LAI, plant N concentration (PNC, plant N uptake (PNU, CM readings and N nutrition index (NNI defined as the ratio of actual PNC and critical PNC, were determined. Based on the FORMOSAT-2 imagery, a total of 50 vegetation indices (VIs were computed and correlated with the field-based agronomic variables. Results indicated that 45% of NNI variability could be explained using Ratio Vegetation Index 3 (RVI3 directly across years. A more practical and promising approach was proposed by using satellite remote sensing to estimate aboveground biomass and PNU at the panicle initiation stage and then using these two variables to estimate NNI indirectly (R2 = 0.52 across years. Further, the difference between the estimated PNU and the critical PNU can be used to guide the topdressing N application rate adjustments.

  5. Proposal for a remote sensing trophic state index based upon Thematic Mapper/Landsat images

    Directory of Open Access Journals (Sweden)

    Evlyn Márcia Leão de Moraes Novo

    2013-12-01

    Full Text Available This work proposes a trophic state index based on the remote sensing retrieval of chlorophyll-α concentration. For that, in situ Bidirectional Reflectance Factor (BRF data acquired in the Ibitinga reservoir were resampled to match Landsat/TM spectral simulated bands (TM_sim bands and used to run linear correlation with concurrent measurements of chlorophyll-α concentration. Monte Carlo simulation was then applied to select the most suitable model relating chlorophyll-α concentration and simulated TM/Landsat reflectance. TM4_sim/TM3_sim ratio provided the best model with a R2 value of 0.78. The model was then inverted to create a look-up-table (LUT relating TM4_sim/TM3_sim ratio intervals to chlorophyll-α concentration trophic state classes covering the entire range measured in the reservoir. Atmospheric corrected Landsat TM images converted to surface reflectance were then used to generate a TM4/TM3 ratio image. The ratio image frequency distribution encompassed the range of TM4_sim/TM3_sim ratio indicating agreement between in situ and satellite data and supporting the use of satellite data to map chlorophyll- concentration trophic state distribution in the reservoir. Based on that, the LUT was applied to a Landsat/TM ratio image to map the spatial distribution of chlorophyll- trophic state classes in Ibitinga reservoir. Despite the stochastic selection of TM4_sim/TM3_sim ratio as the best input variable for modeling the chlorophyll-α concentration, it has a physical basis: high concentration of phytoplankton increases the reflectance in the near-infrared (TM4 and decreases the reflectance in the red (TM3. The band ratio, therefore, enhances the relationship between chlorophyll- concentration and remotely sensed reflectance.

  6. Simulation-based design process for the verification of ITER remote handling systems

    Energy Technology Data Exchange (ETDEWEB)

    Sibois, Romain, E-mail: romain.sibois@vtt.fi [VTT Technical Research Centre of Finland, P.O. Box 1300, FI-33101 Tampere (Finland); Määttä, Timo; Siuko, Mikko [VTT Technical Research Centre of Finland, P.O. Box 1300, FI-33101 Tampere (Finland); Mattila, Jouni [Tampere University of Technology, Korkeakoulunkatu 6, 33720 Tampere (Finland)

    2014-10-15

    Highlights: •Verification and validation process for ITER remote handling system. •Simulation-based design process for early verification of ITER RH systems. •Design process centralized around simulation lifecycle management system. •Verification and validation roadmap for digital modelling phase. -- Abstract: The work behind this paper takes place in the EFDA's European Goal Oriented Training programme on Remote Handling (RH) “GOT-RH”. The programme aims to train engineers for activities supporting the ITER project and the long-term fusion programme. One of the projects of this programme focuses on the verification and validation (V and V) of ITER RH system requirements using digital mock-ups (DMU). The purpose of this project is to study and develop efficient approach of using DMUs in the V and V process of ITER RH system design utilizing a System Engineering (SE) framework. Complex engineering systems such as ITER facilities lead to substantial rise of cost while manufacturing the full-scale prototype. In the V and V process for ITER RH equipment, physical tests are a requirement to ensure the compliance of the system according to the required operation. Therefore it is essential to virtually verify the developed system before starting the prototype manufacturing phase. This paper gives an overview of the current trends in using digital mock-up within product design processes. It suggests a simulation-based process design centralized around a simulation lifecycle management system. The purpose of this paper is to describe possible improvements in the formalization of the ITER RH design process and V and V processes, in order to increase their cost efficiency and reliability.

  7. Developing the remote sensing-based early warning system for monitoring TSS concentrations in Lake Mead.

    Science.gov (United States)

    Imen, Sanaz; Chang, Ni-Bin; Yang, Y Jeffrey

    2015-09-01

    Adjustment of the water treatment process to changes in water quality is a focus area for engineers and managers of water treatment plants. The desired and preferred capability depends on timely and quantitative knowledge of water quality monitoring in terms of total suspended solids (TSS) concentrations. This paper presents the development of a suite of nowcasting and forecasting methods by using high-resolution remote-sensing-based monitoring techniques on a daily basis. First, the integrated data fusion and mining (IDFM) technique was applied to develop a near real-time monitoring system for daily nowcasting of the TSS concentrations. Then a nonlinear autoregressive neural network with external input (NARXNET) model was selected and applied for forecasting analysis of the changes in TSS concentrations over time on a rolling basis onward using the IDFM technique. The implementation of such an integrated forecasting and nowcasting approach was assessed by a case study at Lake Mead hosting the water intake for Las Vegas, Nevada, in the water-stressed western U.S. Long-term monthly averaged results showed no simultaneous impact from forest fire events on accelerating the rise of TSS concentration. However, the results showed a probable impact of a decade of drought on increasing TSS concentration in the Colorado River Arm and Overton Arm. Results of the forecasting model highlight the reservoir water level as a significant parameter in predicting TSS in Lake Mead. In addition, the R-squared value of 0.98 and the root mean square error of 0.5 between the observed and predicted TSS values demonstrates the reliability and application potential of this remote sensing-based early warning system in terms of TSS projections at a drinking water intake.

  8. Minimum cost solution of wind–photovoltaic based stand-alone power systems for remote consumers

    International Nuclear Information System (INIS)

    Renewable energy sources (RES) based stand-alone systems employing either wind or solar power and energy storage comprise a reliable energy alternative, on top of conventional diesel-electric generator sets, commonly used by remote consumers. However, such systems usually imply the need for oversizing and considerable energy storage requirements leading to relatively high costs. On the other hand, hybrid configurations that may exploit both wind and solar potential of a given area may considerably reduce energy storage capacity and improve the economic performance of the system. In this context, an integrated techno-economic methodology for the evaluation of hybrid wind–photovoltaic stand-alone power systems is currently developed, aiming at the designation of optimum configurations for a typical remote consumer, using economic performance criteria. For the problem investigation, the developed evaluation model is applied to four representative areas of the Greek territory with different wind potential characteristics in order to obtain optimum configurations on the basis of minimum initial investment, 10-year and 20-year total cost. According to the results obtained, the proposed solution is favorably compared with all other stand-alone energy alternatives, reflecting the ability of hybrid systems to adjust even in areas where the local RES potential is not necessarily of high quality. - Highlights: ► Wind- and PV-stand alone systems often imply use of extreme battery capacity. ► Hybrid wind–PV systems may reduce energy storage requirements and associated costs. ► An optimization methodology is developed, based on economic performance criteria. ► Methodology is applied to four Greek regions of different wind potential. ► Results obtained reflect the hybrid solution's advantages over other alternatives.

  9. Drought Forecasting Based on Machine Learning of Remote Sensing and Long-Range Forecast Data

    Science.gov (United States)

    Rhee, J.; Im, J.; Park, S.

    2016-06-01

    The reduction of drought impacts may be achieved through sustainable drought management and proactive measures against drought disaster. Accurate and timely provision of drought information is essential. In this study, drought forecasting models to provide high-resolution drought information based on drought indicators for ungauged areas were developed. The developed models predict drought indices of the 6-month Standardized Precipitation Index (SPI6) and the 6-month Standardized Precipitation Evapotranspiration Index (SPEI6). An interpolation method based on multiquadric spline interpolation method as well as three machine learning models were tested. Three machine learning models of Decision Tree, Random Forest, and Extremely Randomized Trees were tested to enhance the provision of drought initial conditions based on remote sensing data, since initial conditions is one of the most important factors for drought forecasting. Machine learning-based methods performed better than interpolation methods for both classification and regression, and the methods using climatology data outperformed the methods using long-range forecast. The model based on climatological data and the machine learning method outperformed overall.

  10. DROUGHT FORECASTING BASED ON MACHINE LEARNING OF REMOTE SENSING AND LONG-RANGE FORECAST DATA

    Directory of Open Access Journals (Sweden)

    J. Rhee

    2016-06-01

    Full Text Available The reduction of drought impacts may be achieved through sustainable drought management and proactive measures against drought disaster. Accurate and timely provision of drought information is essential. In this study, drought forecasting models to provide high-resolution drought information based on drought indicators for ungauged areas were developed. The developed models predict drought indices of the 6-month Standardized Precipitation Index (SPI6 and the 6-month Standardized Precipitation Evapotranspiration Index (SPEI6. An interpolation method based on multiquadric spline interpolation method as well as three machine learning models were tested. Three machine learning models of Decision Tree, Random Forest, and Extremely Randomized Trees were tested to enhance the provision of drought initial conditions based on remote sensing data, since initial conditions is one of the most important factors for drought forecasting. Machine learning-based methods performed better than interpolation methods for both classification and regression, and the methods using climatology data outperformed the methods using long-range forecast. The model based on climatological data and the machine learning method outperformed overall.

  11. Mapping of leptospirosis risk factor based on remote sensing image in Tembalang, Semarang City, Central Java

    Directory of Open Access Journals (Sweden)

    Sunaryo Sunaryo

    2012-09-01

    of leptospirosis, physical environment of risk factor analysis.Methods: This cross sectional design consisted of 246 leptospirosis subjects mapped with GPS, and processed by using ArcGis 92 program. Leptospirosis case was overlaid with remote sensing (Quickbird image, then is done interpretation of spatial feature, and digitation on screen to visual identify of risk factor.Results: Based on digital visualization leptospirosis cases in 2009 were clustered in Tembalang with shortest distance index 0,009 km and is furthermost 18 km. More case distribution found at children and men adolescent. Temporally, case increased in the dry season, among of July and August. Result of visual interpretation and digitation can obtain land use map, water body, settlement, fl oods area, vegetation index and height.Conclusion: Spatial high resolution remote sensing image is very good for mapping of leptospirosis risk factor. Leptospirosis case distribution forms the cluster in Tembalang; case is predominated by children andmen adolescent. (Health Science Indones 2012;1:45-50 

  12. An SNMP-based solution to enable remote ISO/IEEE 11073 technical management.

    Science.gov (United States)

    Lasierra, Nelia; Alesanco, Alvaro; García, José

    2012-07-01

    This paper presents the design and implementation of an architecture based on the integration of simple network management protocol version 3 (SNMPv3) and the standard ISO/IEEE 11073 (X73) to manage technical information in home-based telemonitoring scenarios. This architecture includes the development of an SNMPv3-proxyX73 agent which comprises a management information base (MIB) module adapted to X73. In the proposed scenario, medical devices (MDs) send information to a concentrator device [designated as compute engine (CE)] using the X73 standard. This information together with extra information collected in the CE is stored in the developed MIB. Finally, the information collected is available for remote access via SNMP connection. Moreover, alarms and events can be configured by an external manager in order to provide warnings of irregularities in the MDs' technical performance evaluation. This proposed SNMPv3 agent provides a solution to integrate and unify technical device management in home-based telemonitoring scenarios fully adapted to X73.

  13. Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery

    Science.gov (United States)

    Zhong, Yanfei; Wang, Xinyu; Zhao, Lin; Feng, Ruyi; Zhang, Liangpei; Xu, Yanyan

    2016-09-01

    Recently, many blind source separation (BSS)-based techniques have been applied to hyperspectral unmixing. In this paper, a new blind spectral unmixing method based on sparse component analysis (BSUSCA) is proposed to solve the problem of highly mixed data. The BSUSCA algorithm consists of an alternative scheme based on two-block alternating optimization, by which we can simultaneously obtain the endmember signatures and their corresponding fractional abundances. According to the spatial distribution of the endmembers, the sparse properties of the fractional abundances are considered in the proposed algorithm. A sparse component analysis (SCA)-based mixing matrix estimation method is applied to update the endmember signatures, and the abundance estimation problem is solved by the alternating direction method of multipliers (ADMM). SCA is utilized for the unmixing due to its various advantages, including the unique solution and robust modeling assumption. The robustness of the proposed algorithm is verified through simulated experimental study. The experimental results using both simulated data and real hyperspectral remote sensing images confirm the high efficiency and precision of the proposed algorithm.

  14. Analysis of Spectral Characteristics Based on Optical Remote Sensing and SAR Image Fusion

    Institute of Scientific and Technical Information of China (English)

    Weiguo LI; Nan JIANG; Guangxiu GE

    2014-01-01

    Because of cloudy and rainy weather in south China, optical remote sens-ing images often can't be obtained easily. With the regional trial results in Baoying, Jiangsu province, this paper explored the fusion model and effect of ENVISAT/SAR and HJ-1A satel ite multispectral remote sensing images. Based on the ARSIS strat-egy, using the wavelet transform and the Interaction between the Band Structure Model (IBSM), the research progressed the ENVISAT satel ite SAR and the HJ-1A satel ite CCD images wavelet decomposition, and low/high frequency coefficient re-construction, and obtained the fusion images through the inverse wavelet transform. In the light of low and high-frequency images have different characteristics in differ-ent areas, different fusion rules which can enhance the integration process of self-adaptive were taken, with comparisons with the PCA transformation, IHS transfor-mation and other traditional methods by subjective and the corresponding quantita-tive evaluation. Furthermore, the research extracted the bands and NDVI values around the fusion with GPS samples, analyzed and explained the fusion effect. The results showed that the spectral distortion of wavelet fusion, IHS transform, PCA transform images was 0.101 6, 0.326 1 and 1.277 2, respectively and entropy was 14.701 5, 11.899 3 and 13.229 3, respectively, the wavelet fusion is the highest. The method of wavelet maintained good spectral capability, and visual effects while improved the spatial resolution, the information interpretation effect was much better than other two methods.

  15. Climate- and remote sensing-based tools for drought management application in North and South Korea

    Science.gov (United States)

    Nam, W.; Wardlow, B.; Hayes, M. J.; Tadesse, T.; Svoboda, M.; Fuchs, B.; Wilhite, D. A.

    2015-12-01

    North and South Korea have experienced more frequent and extreme droughts since the late 1990s. In recent years, severe droughts in 2000-2001, 2012, and 2015 have led to widespread agricultural and environmental impacts, and resulted in water shortages and large reductions in crop yields. This has been particularly problematic in the agricultural sector of North Korea, which has a high-level of vulnerability due to variations of climate and this, in turn, results in food security issues. This vulnerability is exacerbated by North Korea's relatively small area of arable land, most of which is not very productive. The objective of this study was to develop a drought management application using climate- and remote sensing-based tools for North and South Korea. These tools are essential for improving drought planning and preparedness in this area. In this study, various drought indicators derived from climate and remote sensing data (SPI, SC-PDSI, SPEI, and VegDRI-Korea) were investigated to monitor the current drought condition and evaluate their ability to characterize agricultural and meteorological drought events and their potential impacts. Results from this study can be used to develop or improve the national-level drought management application for these countries. The goal is to provide improved and more timely information on both the spatial and temporal dimensions of drought conditions and provide a tool to identify both past and present drought events in order to make more informed management decisions and reduce the impacts of current droughts and reduce the risk to future events.

  16. Study on the techniques of valuation of ecosystem services based on remote sensing in Anxin County

    Science.gov (United States)

    Wang, Hongyan; Li, Zengyuan; Gao, Zhihai; Wang, Bengyu; Bai, Lina; Wu, Junjun; Sun, Bin; Wang, Zhibo

    2014-05-01

    The farmland ecosystem is an important component of terrestrial ecosystems and has a fundamental role in the human life. The wetland is an unique and versatile ecological system. It is important for rational development and sustainable utilization of farmland and wetland resources to study on the measurement of valuation of farmland and wetland ecosystem services. It also has important significance for improving productivity. With the rapid development of remote sensing technology, it has become a powerful tool for evaluation of the value of ecosystem services. The land cover types in Anxin County mainly was farmland and wetland, the indicator system for ecosystem services valuation was brought up based on the remote sensing data of high spatial resolution ratio(Landsat-5 TM data and SPOT-5 data), the technology system for measurement of ecosystem services value was established. The study results show that the total ecosystem services value in 2009 in Anxin was 4.216 billion yuan, and the unit area value was between 8489 yuan/hm2 and 329535 yuan/hm2. The value of natural resources, water conservation value in farmland ecosystem and eco-tourism value in wetland ecosystem were higher than the other, total of the three values reached 2.858 billion yuan, and the percentage of the total ecosystem services values in Anxin was 67.79%. Through the statistics in the nine towns and three villages of Anxin County, the juantou town has the highest services value, reached 0.736 billion yuan. Scientific and comprehensive evaluation of the ecosystem services can conducive to promoting the understanding of the importance of the ecosystem. The research results had significance to ensure the sustainable use of wetland resources and the guidance of ecological construction in Anxin County.

  17. Study on ecosytem service function change of island based on remote sensing

    Institute of Scientific and Technical Information of China (English)

    WANG Lian; PAN Delu; FU Dongyang

    2015-01-01

    Based on the interpretation of the remote sensing data presented by the resource satellite, this paper states the fact that the land-use area in Donghai Island, which is located in the south of Zhanjiang, Guangdong Province, had expanded by 576.71 hm2 in the 25 years from 1986 to 2010 because of human activities such as land reclamation; in the meantime, great changes in types of land cover on the island have occurred. The definite change in land use leads to the remarkable transition in its ecosystem service value. Therefore, by applying the Costanza method in this paper to quantificationally analyze the changes in its ecosystem services on this island;the Costanza method is a calculation technique that shows the service value per unit area of island. It is found that from 1986 to 2010, especially in the recent years, due to the rapid development in the petrifaction, steel and port industries, the areas of cultivated land, woodland, grassland and desert have decreased in different degrees, while the lands for residence, industry and traffic construction and the areas of water and wetlands have increased. Consequently, compared with the number of RMB 547.57×106 yuan per year in 1986, the ecosystem service value of Donghai Island was greatly reduced to RMB 493.94×106 yuan per year in 2010. As for the spatial distribution, it presents a feature that it is higher in the west and low in the east. The results manifest that it is of great significance to analyze the changes in the ecosystem service function on the basis of the service value of the island presented by the remote sensing data in a quantificational way, which will contribute to the promotion of ecological compensation.

  18. Confronting remote sensing product with ground base measurements across time and scale

    Science.gov (United States)

    Pourmokhtarian, A.; Dietze, M.

    2015-12-01

    Ecosystem models are essential tools in forecasting ecosystem responses to global climate change. One of the most challenging issues in ecosystem modeling is scaling while preserving landscape characteristics and minimizing loss of information, when moving from point observation to regional scale. There is a keen interest in providing accurate inputs for ecosystem models which represent ecosystem initial state conditions. Remote sensing land cover products, such as Landsat NLCD and MODIS MCD12Q1, provide extensive spatio-temporal coverage but do not capture forest composition and structure. Lidar and hyperspectral have the potential to meet this need but lack sufficient spatial and historical coverage. Forest inventory measurements provide detailed information on the landscape but in a very small footprint. Combining inventory and land cover could improve estimates of ecosystem state and characteristic across time and space. This study focuses on the challenges associated with fusing and scaling the US Forest Service FIA database and NLCD across regional scales to quantify ecosystem characteristics and reduce associated uncertainties. Across Southeast of U.S. 400 stratified random samples of 10x10 km2 landscapes were selected. Data on plant density, species, age, and DBH of trees in FIA plots within each site were extracted. Using allometry equations, the canopy cover of different plant functional types (PFTs) was estimated using a PPA-style canopy model and used to assign each inventory plot to a land cover class. Inventory and land cover were fused in a Bayesian model that adjusts the fractional coverage of inventory plots while accounting for multiple sources of uncertainty. Results were compared to estimates derived from inventory alone, land cover alone, and model spin-up alone. Our findings create a framework of data assimilation to better interpret remote sensing data using ground-based measurements.

  19. White Light Emission from Planar Remote Phosphor Based on NHC Cycloplatinated Complexes.

    Science.gov (United States)

    Fuertes, Sara; Chueca, Andrés J; Perálvarez, Mariano; Borja, Pilar; Torrell, Marc; Carreras, Josep; Sicilia, Violeta

    2016-06-29

    We report on the generation of bright white luminescence through solid-state illumination of remote phosphors based on novel cycloplatinated N-heterocyclic carbene (NHC) compounds. Following a stepwise protocol we got the new NHC compound [{Pt(μ-Cl)(C(∧)C*)}2] (4) (HC(∧)C*-κC* = 1-(4-(ethoxycarbonyl)phenyl)-3-methyl-1H-imidazol-2-ylidene), which was used together with the related ones 4a (HC(∧)C*-κC*= 1-(4-cyanophenyl)-3-methyl-1H-imidazol-2-ylidene) and 4b (HC(∧)C*-κC*= 3-methyl-1-(naphthalen-2-yl)-1H-imidazol-2-ylidene) as starting materials for the synthesis of the new ionic derivatives [Pt(R-C(∧)C*) (CNR')2]PF6 (R = -COOEt, R' = t-Bu (5), Xyl (6); R = -CN, R' = t-Bu (7), Xyl (8); R(∧)C = Naph, R' = t-Bu (9), Xyl (10)). The X-ray structures of 6 and 8-10 have been determined. The photophysical properties of these cationic compounds have been studied and supported by the time-dependent-density functional theory (TD-DFT) calculations. The compounds 5, 8, and 9 have been revealed as the most efficient emitters in the solid state with quantum yields of 41%, 21%, and 40%, respectively. White-light remote-phosphors have been prepared just by stacking different combinations of these compounds and [Pt(bzq) (CN) (CN(t)Bu)] (R1) as blue (5, 8), yellow (9), and red (R1) components onto the same substrate. The CCT (correlated color temperature) and the CRI (color rendering index) of the emitted white-light have been tuned by accurately controlling the individual contributions. PMID:27268265

  20. A NEW DSS BASED ON INTRANET AND DATA WAREHOUSE%Intranet 环境下基于数据仓库技术的新型DSS

    Institute of Scientific and Technical Information of China (English)

    张华雨; 韩伯棠; 覃云

    2002-01-01

    文中构造了一种Intranet环境下基于数据仓库技术的新型决策支持系统(DSS)的框架,并与传统的DSS进行比较,分析其优势,指出此新型DSS是今后决策支持系统的发展方向.

  1. A secure WDM ring access network employing silicon micro-ring based remote node

    Science.gov (United States)

    Sung, Jiun-Yu; Chow, Chi-Wai; Yeh, Chien-Hung; Xu, Ke; Hsu, Chin-Wei; Su, Hong-Quan; Tsang, Hon-Ki

    2014-08-01

    A secure and scalable wavelength-division-multiplexing (WDM) ring-based access network is proposed and demonstrated using proof-of-concept experiments. In the remote node (RN), wavelength hopping for specific optical networking unit (ONU) is deployed by using silicon micro-ring resonators (SMR). Using silicon-based devices could be cost-effective for the cost-sensitive access network. Hence the optical physical layer security is introduced. The issues of denial of service (DOS) attacks, eavesdropping and masquerading can be made more difficult in the proposed WDM ring-based access network. Besides, the SMRs with different dropped wavelengths can be cascaded, such that the signals pass through the preceding SMRs can be dropped by a succeeding SMR. This can increase the scalability of the RN for supporting more ONUs for future upgrade. Here, error-free 10 Gb/s downlink and 1.25 Gb/s uplink transmission are demonstrated to show the feasibility of the proposed network.

  2. A remote real-time PACS-based platform for medical imaging telemedicine

    Science.gov (United States)

    Maani, Rouzbeh; Camorlinga, Sergio; Eskicioglu, Rasit

    2009-02-01

    This paper describes a remote real-time PACS-based telemedicine platform for clinical and diagnostic services delivered at different care settings where the physicians, specialists and scientists may attend. In fact, the platform aims to provide a PACS-based telemedicine framework for different medical image services such as segmentation, registration and specifically high-quality 3D visualization. The proposed approach offers services which are not only widely accessible and real-time, but are also secure and cost-effective. In addition, the proposed platform has the ability to bring in a realtime, ubiquitous, collaborative, interactive meeting environment supporting 3D visualization for consultations, which has not been well addressed with the current PACS-based applications. Using this ability, physicians and specialists can consult with each other at separate places and it is especially helpful for settings, where there is no specialist or the number of specialists is not enough to handle all the available cases. Furthermore, the proposed platform can be used as a rich resource for clinical research studies as well as for academic purposes.

  3. Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment.

    Science.gov (United States)

    Shahabi, Himan; Hashim, Mazlan

    2015-01-01

    This research presents the results of the GIS-based statistical models for generation of landslide susceptibility mapping using geographic information system (GIS) and remote-sensing data for Cameron Highlands area in Malaysia. Ten factors including slope, aspect, soil, lithology, NDVI, land cover, distance to drainage, precipitation, distance to fault, and distance to road were extracted from SAR data, SPOT 5 and WorldView-1 images. The relationships between the detected landslide locations and these ten related factors were identified by using GIS-based statistical models including analytical hierarchy process (AHP), weighted linear combination (WLC) and spatial multi-criteria evaluation (SMCE) models. The landslide inventory map which has a total of 92 landslide locations was created based on numerous resources such as digital aerial photographs, AIRSAR data, WorldView-1 images, and field surveys. Then, 80% of the landslide inventory was used for training the statistical models and the remaining 20% was used for validation purpose. The validation results using the Relative landslide density index (R-index) and Receiver operating characteristic (ROC) demonstrated that the SMCE model (accuracy is 96%) is better in prediction than AHP (accuracy is 91%) and WLC (accuracy is 89%) models. These landslide susceptibility maps would be useful for hazard mitigation purpose and regional planning. PMID:25898919

  4. Android Platform Based Smartphones for a Logistical Remote Association Repair Framework

    Directory of Open Access Journals (Sweden)

    Shao-Fan Lien

    2014-06-01

    Full Text Available The maintenance of large-scale systems is an important issue for logistics support planning. In this paper, we developed a Logistical Remote Association Repair Framework (LRARF to aid repairmen in keeping the system available. LRARF includes four subsystems: smart mobile phones, a Database Management System (DBMS, a Maintenance Support Center (MSC and wireless networks. The repairman uses smart mobile phones to capture QR-codes and the images of faulty circuit boards. The captured QR-codes and images are transmitted to the DBMS so the invalid modules can be recognized via the proposed algorithm. In this paper, the Linear Projective Transform (LPT is employed for fast QR-code calibration. Moreover, the ANFIS-based data mining system is used for module identification and searching automatically for the maintenance manual corresponding to the invalid modules. The inputs of the ANFIS-based data mining system are the QR-codes and image features; the output is the module ID. DBMS also transmits the maintenance manual back to the maintenance staff. If modules are not recognizable, the repairmen and center engineers can obtain the relevant information about the invalid modules through live video. The experimental results validate the applicability of the Android-based platform in the recognition of invalid modules. In addition, the live video can also be recorded synchronously on the MSC for later use.

  5. Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment.

    Science.gov (United States)

    Shahabi, Himan; Hashim, Mazlan

    2015-01-01

    This research presents the results of the GIS-based statistical models for generation of landslide susceptibility mapping using geographic information system (GIS) and remote-sensing data for Cameron Highlands area in Malaysia. Ten factors including slope, aspect, soil, lithology, NDVI, land cover, distance to drainage, precipitation, distance to fault, and distance to road were extracted from SAR data, SPOT 5 and WorldView-1 images. The relationships between the detected landslide locations and these ten related factors were identified by using GIS-based statistical models including analytical hierarchy process (AHP), weighted linear combination (WLC) and spatial multi-criteria evaluation (SMCE) models. The landslide inventory map which has a total of 92 landslide locations was created based on numerous resources such as digital aerial photographs, AIRSAR data, WorldView-1 images, and field surveys. Then, 80% of the landslide inventory was used for training the statistical models and the remaining 20% was used for validation purpose. The validation results using the Relative landslide density index (R-index) and Receiver operating characteristic (ROC) demonstrated that the SMCE model (accuracy is 96%) is better in prediction than AHP (accuracy is 91%) and WLC (accuracy is 89%) models. These landslide susceptibility maps would be useful for hazard mitigation purpose and regional planning.

  6. ROCKETMAS: A sounding-rocket-based remote sensing measurement of mesospheric water vapor and ozone

    Science.gov (United States)

    Croskey, C. L.; Olivero, J. J.; Puliafito, S. E.; Mitchell, J. D.

    1994-01-01

    The ROCKETMAS rocketborne technique, based on the shuttle-borne millimeter wave atmospheric sounder (MAS), to obtain water vapor and ozone measurements with vertical resolution, is described. The concentrations of mesospheric water vapor and ozone are not well known, yet both contribute significantly to the chemical and radiative structure of that region. In situ measurements of water vapor are difficult to make because water that was absorbed on the instrument surfaces outgasses in space and contaminates the local environment of the payload. However, a remote sensing technique that uses a long pathlength through the atmosphere greatly reduces the effect of such local contamination. The 183.3 GHz line of water vapor and 184.4 GHz line of ozone are good choices for spaceborne radiometer measurements because one front-end mixer assembly can be used to simultaneously observe both gases. The design of a sounding rocket based millimeter wave radiometer for measuring water vapor and ozone with a height resolution not possible by either ground based or limb sounding techniques is described.

  7. Android platform based smartphones for a logistical remote association repair framework.

    Science.gov (United States)

    Lien, Shao-Fan; Wang, Chun-Chieh; Su, Juhng-Perng; Chen, Hong-Ming; Wu, Chein-Hsing

    2014-01-01

    The maintenance of large-scale systems is an important issue for logistics support planning. In this paper, we developed a Logistical Remote Association Repair Framework (LRARF) to aid repairmen in keeping the system available. LRARF includes four subsystems: smart mobile phones, a Database Management System (DBMS), a Maintenance Support Center (MSC) and wireless networks. The repairman uses smart mobile phones to capture QR-codes and the images of faulty circuit boards. The captured QR-codes and images are transmitted to the DBMS so the invalid modules can be recognized via the proposed algorithm. In this paper, the Linear Projective Transform (LPT) is employed for fast QR-code calibration. Moreover, the ANFIS-based data mining system is used for module identification and searching automatically for the maintenance manual corresponding to the invalid modules. The inputs of the ANFIS-based data mining system are the QR-codes and image features; the output is the module ID. DBMS also transmits the maintenance manual back to the maintenance staff. If modules are not recognizable, the repairmen and center engineers can obtain the relevant information about the invalid modules through live video. The experimental results validate the applicability of the Android-based platform in the recognition of invalid modules. In addition, the live video can also be recorded synchronously on the MSC for later use. PMID:24967603

  8. Efficient and Secure Dynamic ID-Based Remote User Authentication Scheme with Session Key Agreement for Multi-Server Environment

    Directory of Open Access Journals (Sweden)

    Rafael Martínez-Peláez

    2010-10-01

    Full Text Available In 2007, Liao-Wang proposed a dynamic ID-based remote user authentication scheme for multi-serverenvironment using smart cards. However, Hsiang-Shih demonstrated that Liao-Wang’s scheme hassecurity flaws. Moreover, Hsiang-Shih proposed an improvement scheme which resolves the securityflaws of Liao-Wang scheme. In this paper, we propose an enhanced remote user authentication schemewhich maintains the merits of Hsiang-Shih’s scheme. Performance evaluation demonstrated the efficiencyof the proposed scheme over related works. Security analysis proved that the proposed scheme is secureagainst known attacks.

  9. The Security of Intranet and Group Cipher Method%Intranet的安全及群密码系统

    Institute of Scientific and Technical Information of China (English)

    朱亮

    2000-01-01

    Intranet 的广泛应用使得它的安全越来越被人们所重视.本文首先对Intranet和Internet进行比较,提出Intranet存在的安全问题;然后介绍了一种面向Intranet内部群的加密方式,对于通过WWW服务器在群内共享的数据,就可用这种方法产生的群密钥进行加密;最后分析了该方法的特点.

  10. A thermal-based remote sensing modelling system for estimating crop water use and stress from field to regional scales

    Science.gov (United States)

    Thermal-infrared remote sensing of land surface temperature provides valuable information for quantifying root-zone water availability, evapotranspiration (ET) and crop condition. A thermal-based scheme, called the Two-Source Energy Balance (TSEB) model, solves for the soil/substrate and canopy temp...

  11. Assessing groundwater storage changes using remote sensing - based evapotranspiration and precipitation at a large semiarid basin scale

    NARCIS (Netherlands)

    Gokmen, Mustafa; Vekerdy, Zoltan; Lubczynski, Maciek W.; Timmermans, Joris; Batelaan, Okke; Verhoef, Wouter

    2013-01-01

    A method is presented that uses remote sensing (RS)-based evapotranspiration (ET) and precipitation estimates with improved accuracies under semiarid conditions to quantify a spatially distributed water balance, for analyzing groundwater storage changes due to supplementary water uses. The method is

  12. An Open Source Software and Web-GIS Based Platform for Airborne SAR Remote Sensing Data Management, Distribution and Sharing

    International Nuclear Information System (INIS)

    With more and more Earth observation data available to the community, how to manage and sharing these valuable remote sensing datasets is becoming an urgent issue to be solved. The web based Geographical Information Systems (GIS) technology provides a convenient way for the users in different locations to share and make use of the same dataset. In order to efficiently use the airborne Synthetic Aperture Radar (SAR) remote sensing data acquired in the Airborne Remote Sensing Center of the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), a Web-GIS based platform for airborne SAR data management, distribution and sharing was designed and developed. The major features of the system include map based navigation search interface, full resolution imagery shown overlaid the map, and all the software adopted in the platform are Open Source Software (OSS). The functions of the platform include browsing the imagery on the map navigation based interface, ordering and downloading data online, image dataset and user management, etc. At present, the system is under testing in RADI and will come to regular operation soon

  13. Challenges amp Solutions Of Adoption In Regards To Phone-Based Remote E-Voting

    Directory of Open Access Journals (Sweden)

    Hermann Ken Jamnadas

    2015-08-01

    Full Text Available Abstract Remote Voting Systems has not been universally adopted by most countries for their elections such as in the case of Fiji. Although mobile phones are quite prevalent around the world and the amount of smart phones sold is increasing at a rapid rate there have not been many elections which have capitalized on the use of Mobile Phones as a remote voting tool. This paper is a limited review of previous papers on remote voting systems. The aim was to study challenges of adoption of remote e-voting systems such as through a mobile phone and suggest innovative solutions to those challenges. As such we propose a combination of new policy solutions and technical solutions such as the use of QR code and checksum for vote verification the use of real time facial recognition systems and the leveraging of existing mobile hardware to ensure a secure anonymous and trustworthy remote voting system like it has never been before.

  14. Research and implement of remote vehicle monitoring and early-warning system based on GPS/GPRS

    Science.gov (United States)

    Li, Shiwu; Tian, Jingjing; Yang, Zhifa; Qiao, Feiyan

    2013-03-01

    Concerning the problem of road traffic safety, remote monitoring and early-warning of vehicle states was the key to prevent road traffic accidents and improve the transportation effectiveness. Through the embedded development technology, a remote vehicle monitoring and early-warning system was developed based on UNO2170 industrial computer of Advantech with WinCE operating system using Embedded Visual C++ (EVC), which combined with multisensor data acquisition technology, global positioning system (GPS) and general packet radio service (GPRS). It achieved the remote monitoring and early-warning of commercial vehicle. This system was installed in a CA1046L2 light truck. Through many road tests, test results showed that the system reacted rapidly for abnormal vehicle states and had stable performance.

  15. Novel classification method for remote sensing images based on information entropy discretization algorithm and vector space model

    Science.gov (United States)

    Xie, Li; Li, Guangyao; Xiao, Mang; Peng, Lei

    2016-04-01

    Various kinds of remote sensing image classification algorithms have been developed to adapt to the rapid growth of remote sensing data. Conventional methods typically have restrictions in either classification accuracy or computational efficiency. Aiming to overcome the difficulties, a new solution for remote sensing image classification is presented in this study. A discretization algorithm based on information entropy is applied to extract features from the data set and a vector space model (VSM) method is employed as the feature representation algorithm. Because of the simple structure of the feature space, the training rate is accelerated. The performance of the proposed method is compared with two other algorithms: back propagation neural networks (BPNN) method and ant colony optimization (ACO) method. Experimental results confirm that the proposed method is superior to the other algorithms in terms of classification accuracy and computational efficiency.

  16. Pan-Sharpening Approaches Based on Unmixing of Multispectral Remote Sensing Imagery

    Science.gov (United States)

    Palubinskas, G.

    2016-06-01

    Model based analysis or explicit definition/listing of all models/assumptions used in the derivation of a pan-sharpening method allows us to understand the rationale or properties of existing methods and shows a way for a proper usage or proposal/selection of new methods `better' satisfying the needs of a particular application. Most existing pan-sharpening methods are based mainly on the two models/assumptions: spectral consistency for high resolution multispectral data (physical relationship between multispectral and panchromatic data in a high resolution scale) and spatial consistency for multispectral data (so-called Wald's protocol first property or relationship between multispectral data in different resolution scales). Two methods, one based on a linear unmixing model and another one based on spatial unmixing, are described/proposed/modified which respect models assumed and thus can produce correct or physically justified fusion results. Earlier mentioned property `better' should be measurable quantitatively, e.g. by means of so-called quality measures. The difficulty of a quality assessment task in multi-resolution image fusion or pan-sharpening is that a reference image is missing. Existing measures or so-called protocols are still not satisfactory because quite often the rationale or assumptions used are not valid or not fulfilled. From a model based view it follows naturally that a quality assessment measure can be defined as a combination of error model residuals using common or general models assumed in all fusion methods. Thus in this paper a comparison of the two earlier proposed/modified pan-sharpening methods is performed. Preliminary experiments based on visual analysis are carried out in the urban area of Munich city for optical remote sensing multispectral data and panchromatic imagery of the WorldView-2 satellite sensor.

  17. [Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].

    Science.gov (United States)

    Gao, Lin; Li, Chang-chun; Wang, Bao-shan; Yang Gui-jun; Wang, Lei; Fu, Kui

    2016-01-01

    With the innovation of remote sensing technology, remote sensing data sources are more and more abundant. The main aim of this study was to analyze retrieval accuracy of soybean leaf area index (LAI) based on multi-source remote sensing data including ground hyperspectral, unmanned aerial vehicle (UAV) multispectral and the Gaofen-1 (GF-1) WFV data. Ratio vegetation index (RVI), normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), difference vegetation index (DVI), and triangle vegetation index (TVI) were used to establish LAI retrieval models, respectively. The models with the highest calibration accuracy were used in the validation. The capability of these three kinds of remote sensing data for LAI retrieval was assessed according to the estimation accuracy of models. The experimental results showed that the models based on the ground hyperspectral and UAV multispectral data got better estimation accuracy (R² was more than 0.69 and RMSE was less than 0.4 at 0.01 significance level), compared with the model based on WFV data. The RVI logarithmic model based on ground hyperspectral data was little superior to the NDVI linear model based on UAV multispectral data (The difference in E(A), R² and RMSE were 0.3%, 0.04 and 0.006, respectively). The models based on WFV data got the lowest estimation accuracy with R2 less than 0.30 and RMSE more than 0.70. The effects of sensor spectral response characteristics, sensor geometric location and spatial resolution on the soybean LAI retrieval were discussed. The results demonstrated that ground hyperspectral data were advantageous but not prominent over traditional multispectral data in soybean LAI retrieval. WFV imagery with 16 m spatial resolution could not meet the requirements of crop growth monitoring at field scale. Under the condition of ensuring the high precision in retrieving soybean LAI and working efficiently, the approach to acquiring agricultural information by UAV remote

  18. [Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].

    Science.gov (United States)

    Gao, Lin; Li, Chang-chun; Wang, Bao-shan; Yang Gui-jun; Wang, Lei; Fu, Kui

    2016-01-01

    With the innovation of remote sensing technology, remote sensing data sources are more and more abundant. The main aim of this study was to analyze retrieval accuracy of soybean leaf area index (LAI) based on multi-source remote sensing data including ground hyperspectral, unmanned aerial vehicle (UAV) multispectral and the Gaofen-1 (GF-1) WFV data. Ratio vegetation index (RVI), normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), difference vegetation index (DVI), and triangle vegetation index (TVI) were used to establish LAI retrieval models, respectively. The models with the highest calibration accuracy were used in the validation. The capability of these three kinds of remote sensing data for LAI retrieval was assessed according to the estimation accuracy of models. The experimental results showed that the models based on the ground hyperspectral and UAV multispectral data got better estimation accuracy (R² was more than 0.69 and RMSE was less than 0.4 at 0.01 significance level), compared with the model based on WFV data. The RVI logarithmic model based on ground hyperspectral data was little superior to the NDVI linear model based on UAV multispectral data (The difference in E(A), R² and RMSE were 0.3%, 0.04 and 0.006, respectively). The models based on WFV data got the lowest estimation accuracy with R2 less than 0.30 and RMSE more than 0.70. The effects of sensor spectral response characteristics, sensor geometric location and spatial resolution on the soybean LAI retrieval were discussed. The results demonstrated that ground hyperspectral data were advantageous but not prominent over traditional multispectral data in soybean LAI retrieval. WFV imagery with 16 m spatial resolution could not meet the requirements of crop growth monitoring at field scale. Under the condition of ensuring the high precision in retrieving soybean LAI and working efficiently, the approach to acquiring agricultural information by UAV remote

  19. Spmk and Grabcut Based Target Extraction from High Resolution Remote Sensing Images

    Science.gov (United States)

    Cui, Weihong; Wang, Guofeng; Feng, Chenyi; Zheng, Yiwei; Li, Jonathan; Zhang, Yi

    2016-06-01

    Target detection and extraction from high resolution remote sensing images is a basic and wide needed application. In this paper, to improve the efficiency of image interpretation, we propose a detection and segmentation combined method to realize semi-automatic target extraction. We introduce the dense transform color scale invariant feature transform (TC-SIFT) descriptor and the histogram of oriented gradients (HOG) & HSV descriptor to characterize the spatial structure and color information of the targets. With the k-means cluster method, we get the bag of visual words, and then, we adopt three levels' spatial pyramid (SP) to represent the target patch. After gathering lots of different kinds of target image patches from many high resolution UAV images, and using the TC-SIFT-SP and the multi-scale HOG & HSV feature, we constructed the SVM classifier to detect the target. In this paper, we take buildings as the targets. Experiment results show that the target detection accuracy of buildings can reach to above 90%. Based on the detection results which are a series of rectangle regions of the targets. We select the rectangle regions as candidates for foreground and adopt the GrabCut based and boundary regularized semi-auto interactive segmentation algorithm to get the accurate boundary of the target. Experiment results show its accuracy and efficiency. It can be an effective way for some special targets extraction.

  20. Gesture recognition based on computer vision and glove sensor for remote working environments

    Energy Technology Data Exchange (ETDEWEB)

    Chien, Sung Il; Kim, In Chul; Baek, Yung Mok; Kim, Dong Su; Jeong, Jee Won; Shin, Kug [Kyungpook National University, Taegu (Korea)

    1998-04-01

    In this research, we defined a gesture set needed for remote monitoring and control of a manless system in atomic power station environments. Here, we define a command as the loci of a gesture. We aim at the development of an algorithm using a vision sensor and glove sensors in order to implement the gesture recognition system. The gesture recognition system based on computer vision tracks a hand by using cross correlation of PDOE image. To recognize the gesture word, the 8 direction code is employed as the input symbol for discrete HMM. Another gesture recognition based on sensor has introduced Pinch glove and Polhemus sensor as an input device. The extracted feature through preprocessing now acts as an input signal of the recognizer. For recognition 3D loci of Polhemus sensor, discrete HMM is also adopted. The alternative approach of two foregoing recognition systems uses the vision and and glove sensors together. The extracted mesh feature and 8 direction code from the locus tracking are introduced for further enhancing recognition performance. MLP trained by backpropagation is introduced here and its performance is compared to that of discrete HMM. (author). 32 refs., 44 figs., 21 tabs.

  1. CONTEXT MODELS FOR CRF-BASED CLASSIFICATION OF MULTITEMPORAL REMOTE SENSING DATA

    Directory of Open Access Journals (Sweden)

    T. Hoberg

    2012-07-01

    Full Text Available The increasing availability of multitemporal satellite remote sensing data offers new potential for land cover analysis. By combining data acquired at different epochs it is possible both to improve the classification accuracy and to analyse land cover changes at a high frequency. A simultaneous classification of images from different epochs that is also capable of detecting changes is achieved by a new classification technique based on Conditional Random Fields (CRF. CRF provide a probabilistic classification framework including local spatial and temporal context. Although context is known to improve image analysis results, so far only little research was carried out on how to model it. Taking into account context is the main benefit of CRF in comparison to many other classification methods. Context can be already considered by the choice of features and in the design of the interaction potentials that model the dependencies of interacting sites in the CRF. In this paper, these aspects are more thoroughly investigated. The impact of the applied features on the classification result as well as different models for the spatial interaction potentials are evaluated and compared to the purely label-based Markov Random Field model.

  2. Object-Oriented Change Detection for Remote Sensing Images Based on Multi-Scale Fusion

    Science.gov (United States)

    Feng, Wenqing; Sui, Haigang; Tu, Jihui

    2016-06-01

    In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this problem, this paper presents a novel object-level change detection method based on multi-scale segmentation and fusion. First of all, the fine to coarse segmentation is used to obtain initial objects of different sizes; then, according to the features of the objects, Change Vector Analysis is used to obtain the change detection results of various scales. Furthermore, in order to improve the accuracy of change detection, this paper introduces fuzzy fusion and two kinds of decision level fusion methods to get the results of multi-scale fusion. Based on these methods, experiments are done with SPOT5 multi-spectral remote sensing imagery. Compared with pixel-level change detection methods, the overall accuracy of our method has been improved by nearly 10%, and the experimental results prove the feasibility and effectiveness of the fusion strategies.

  3. Ground-based remote sensing scheme for monitoring aerosol–cloud interactions

    Directory of Open Access Journals (Sweden)

    K. Sarna

    2015-11-01

    Full Text Available A method for continuous observation of aerosol–cloud interactions with ground-based remote sensing instruments is presented. The main goal of this method is to enable the monitoring of cloud microphysical changes due to the changing aerosol concentration. We use high resolution measurements from lidar, radar and radiometer which allow to collect and compare data continuously. This method is based on a standardised data format from Cloudnet and can be implemented at any observatory where the Cloudnet data set is available. Two example study cases were chosen from the Atmospheric Radiation Measurement (ARM Program deployment at Graciosa Island, Azores, Portugal in 2009 to present the method. We show the Pearson Product–Moment Correlation Coefficient, r, and the Coefficient of Determination, r2 for data divided into bins of LWP, each of 10 g m−2. We explain why the commonly used way of quantity aerosol cloud interactions by use of an ACI index (ACIr,τ = dln re,τ/dlnα is not the best way of quantifying aerosol–cloud interactions.

  4. [Remote sensing estimation of urban forest carbon stocks based on QuickBird images].

    Science.gov (United States)

    Xu, Li-Hua; Zhang, Jie-Cun; Huang, Bo; Wang, Huan-Huan; Yue, Wen-Ze

    2014-10-01

    Urban forest is one of the positive factors that increase urban carbon sequestration, which makes great contribution to the global carbon cycle. Based on the high spatial resolution imagery of QuickBird in the study area within the ring road in Yiwu, Zhejiang, the forests in the area were divided into four types, i. e., park-forest, shelter-forest, company-forest and others. With the carbon stock from sample plot as dependent variable, at the significance level of 0.01, the stepwise linear regression method was used to select independent variables from 50 factors such as band grayscale values, vegetation index, texture information and so on. Finally, the remote sensing based forest carbon stock estimation models for the four types of forest were established. The estimation accuracies for all the models were around 70%, with the total carbon reserve of each forest type in the area being estimated as 3623. 80, 5245.78, 5284.84, 5343.65 t, respectively. From the carbon density map, it was found that the carbon reserves were mainly in the range of 25-35 t · hm(-2). In the future, urban forest planners could further improve the ability of forest carbon sequestration through afforestation and interplanting of trees and low shrubs.

  5. EDGE DETECTION METHOD OF REMOTE SENSING IMAGES BASED ON MATHEMATICAL MORPHOLOGY OF MULTI-STRUCTURE ELEMENTS

    Institute of Scientific and Technical Information of China (English)

    LIN Hui; DU Pei-jun; ZHAO Chang-sheng; SHU Ning

    2004-01-01

    This paper puts forward an effective,specific algorithm for edge detection.Based on multi-structure elements of gray mathematics morphology,in the light of difference between noise and edge shape of RS images,the paper establishes multi-structure elements to detect edge by utilizing the grey form transformation principle.Compared with some classical edge detection operators,such as Sobel Edge Detection Operator,LOG Edge Detection Operator,and Canny Edge Detection Operator,the experiment indicates that this new algorithm possesses very good edge detection ability,which can detect edges more effectively,but its noise-resisting ability is relatively low.Because of the bigger noise of remote sensing image,the authors probe into putting forward other edge detection method based on combination of wavelet directivity checkout technology and small-scale Mathematical Morphology finally.So,position at the edge can be accurately located,the noise can be inhibited to a certain extent and the effect of edge detection is obvious.

  6. Integrated Evaluation Model for Eco- Environmental Quality in Mountainous Region Based on Remote Sensing and GIS

    Institute of Scientific and Technical Information of China (English)

    LI Ainong; WANG Angsheng; HE Xiaorong; FENG Wenlan; ZHOU Wancun

    2006-01-01

    Based on Remote Sensing (RS), Geographic Information System (GIS), and combining Principal Component Analysis, this paper designed a numerical integrated evaluation model for mountain eco-environment on the base of grid scale. Using this model, we evaluated the mountain eco-environmental quality in a case study area-the upper reaches of Minjiang River, and achieved a good result, which accorded well with the real condition. The study indicates that, the integrated evaluation model is suitable for multi-layer spatial factor computation, effectively lowing man's subjective influence in the evaluation process; treating the whole river basin as a system, the model shows full respect to the circulation of material and energy, synthetically embodies the determining impact of such natural condition as water-heat and landform, as well as human interference in natural eco-system; the evaluation result not only clearly presents mountainous vertical distribution features of input factors, but also provides a scientific and reliable thought for quantitatively evaluating mountain eco-environment.

  7. DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM

    Directory of Open Access Journals (Sweden)

    H.-T. Gao

    2016-06-01

    Full Text Available Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distribution of histograms,the centroid of histogram is selected to be an eigenvalue representing uniformity of ground objects,histogrammic centroid of whole image and each pixels are calculated first,the differences between them are regard as rough correction coefficients, then in order to avoid the sensitivity caused by single parameter and considering the strong continuity and pertinence of ground objects between two adjacent pixels,correlation coefficient of the histograms is introduces to reflect the similarities between them,fine correction coefficient is obtained by searching around the rough correction coefficient,additionally,in view of the influence of bright cloud on histogram,an automatic cloud detection based on multi-feature including grey level,texture,fractal dimension and edge is used to pre-process image.Two 0-level panchromatic images of SJ-9A satellite with obvious strip noise are processed by proposed method to evaluate the performance, results show that the visual quality of images are improved because the strip noise is entirely removed,we quantitatively analyse the result by calculating the non-uniformity ,which has reached about 1% and is better than histogram matching method.

  8. Ground-based remote sensing scheme for monitoring aerosol-cloud interactions

    Science.gov (United States)

    Sarna, K.; Russchenberg, H. W. J.

    2015-11-01

    A method for continuous observation of aerosol-cloud interactions with ground-based remote sensing instruments is presented. The main goal of this method is to enable the monitoring of cloud microphysical changes due to the changing aerosol concentration. We use high resolution measurements from lidar, radar and radiometer which allow to collect and compare data continuously. This method is based on a standardised data format from Cloudnet and can be implemented at any observatory where the Cloudnet data set is available. Two example study cases were chosen from the Atmospheric Radiation Measurement (ARM) Program deployment at Graciosa Island, Azores, Portugal in 2009 to present the method. We show the Pearson Product-Moment Correlation Coefficient, r, and the Coefficient of Determination, r2 for data divided into bins of LWP, each of 10 g m-2. We explain why the commonly used way of quantity aerosol cloud interactions by use of an ACI index (ACIr,τ = dln re,τ/dlnα) is not the best way of quantifying aerosol-cloud interactions.

  9. Miniature, Low-Power, Waveguide Based Infrared Fourier Transform Spectrometer for Spacecraft Remote Sensing

    Science.gov (United States)

    Hewagama, TIlak; Aslam, Shahid; Talabac, Stephen; Allen, John E., Jr.; Annen, John N.; Jennings, Donald E.

    2011-01-01

    Fourier transform spectrometers have a venerable heritage as flight instruments. However, obtaining an accurate spectrum exacts a penalty in instrument mass and power requirements. Recent advances in a broad class of non-scanning Fourier transform spectrometer (FTS) devices, generally called spatial heterodyne spectrometers, offer distinct advantages as flight optimized systems. We are developing a miniaturized system that employs photonics lightwave circuit principles and functions as an FTS operating in the 7-14 micrometer spectral region. The inteferogram is constructed from an ensemble of Mach-Zehnder interferometers with path length differences calibrated to mimic scan mirror sample positions of a classic Michelson type FTS. One potential long-term application of this technology in low cost planetary missions is the concept of a self-contained sensor system. We are developing a systems architecture concept for wide area in situ and remote monitoring of characteristic properties that are of scientific interest. The system will be based on wavelength- and resolution-independent spectroscopic sensors for studying atmospheric and surface chemistry, physics, and mineralogy. The self-contained sensor network is based on our concept of an Addressable Photonics Cube (APC) which has real-time flexibility and broad science applications. It is envisaged that a spatially distributed autonomous sensor web concept that integrates multiple APCs will be reactive and dynamically driven. The network is designed to respond in an event- or model-driven manner or reconfigured as needed.

  10. De-Striping for Tdiccd Remote Sensing Image Based on Statistical Features of Histogram

    Science.gov (United States)

    Gao, Hui-ting; Liu, Wei; He, Hong-yan; Zhang, Bing-xian; Jiang, Cheng

    2016-06-01

    Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distribution of histograms,the centroid of histogram is selected to be an eigenvalue representing uniformity of ground objects,histogrammic centroid of whole image and each pixels are calculated first,the differences between them are regard as rough correction coefficients, then in order to avoid the sensitivity caused by single parameter and considering the strong continuity and pertinence of ground objects between two adjacent pixels,correlation coefficient of the histograms is introduces to reflect the similarities between them,fine correction coefficient is obtained by searching around the rough correction coefficient,additionally,in view of the influence of bright cloud on histogram,an automatic cloud detection based on multi-feature including grey level,texture,fractal dimension and edge is used to pre-process image.Two 0-level panchromatic images of SJ-9A satellite with obvious strip noise are processed by proposed method to evaluate the performance, results show that the visual quality of images are improved because the strip noise is entirely removed,we quantitatively analyse the result by calculating the non-uniformity ,which has reached about 1% and is better than histogram matching method.

  11. DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.

    Science.gov (United States)

    Taherkhani, Aboozar; Belatreche, Ammar; Li, Yuhua; Maguire, Liam P

    2015-12-01

    Recent research has shown the potential capability of spiking neural networks (SNNs) to model complex information processing in the brain. There is biological evidence to prove the use of the precise timing of spikes for information coding. However, the exact learning mechanism in which the neuron is trained to fire at precise times remains an open problem. The majority of the existing learning methods for SNNs are based on weight adjustment. However, there is also biological evidence that the synaptic delay is not constant. In this paper, a learning method for spiking neurons, called delay learning remote supervised method (DL-ReSuMe), is proposed to merge the delay shift approach and ReSuMe-based weight adjustment to enhance the learning performance. DL-ReSuMe uses more biologically plausible properties, such as delay learning, and needs less weight adjustment than ReSuMe. Simulation results have shown that the proposed DL-ReSuMe approach achieves learning accuracy and learning speed improvements compared with ReSuMe.

  12. Analysis of Urban Expansion and Driving Forces in Xuzhou City Based on Remote Sensing

    Institute of Scientific and Technical Information of China (English)

    HU Zhao-ling; DU Pei-jun; GUO Da-zhi

    2007-01-01

    Based on satellite remote sensing TM/ETM+ images of Xuzhou city, land use forms of the city in 1987, 1994 and 2000 were extracted by using a neural network classification method. The expansion contribution rate and annual expansion intensity index of each administrative district have been calculated and the contribution rate matrices and spatial distribution maps of land use changes were obtained. Based on the above analysis, the characteristics of urban expansion from 1987 to 2000 have been explored. From 1987 to 1994, the expansion contribution rate of Quanshan district reached 46.80%, the highest in all administrative districts of Xuzhou city; Tongshan town was in a high-speed expansion period; both Quanshan and Yunlong districts were experiencing fast-speed expansion periods while the entire city was expanding at a medium-speed with an annual expansion intensity index of 0.98; the city spread eastwards and southwards. From 1994 to 2000, the expansion contribution rate of Quanshan district reached 43.67%, the highest in Xuzhou; the entire city was in a medium-speed expansion period with an annual expansion intensity index of 1.04; the city has rapidly been extended towards the southeast. According to the contribution rate matrices of land use changes, urban expansion mainly usurps cropland and woodland. A quantitative analysis found that population growth, industrialization and economic development are the primary driving forces behind urban expansion.

  13. Estimation of soil organic carbon based on remote sensing and process model

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The estimation of the soil organic carbon content (SOC) is one of the important issues in the research of the global carbon cycle.However,there are great differences among different scientists regarding the estimated magnitude of SOC.There are two commonly used methods for the estimation of SOC,with each method having both advantages and disadvantages.One method is the so called direct method,which is based on the samples of measured SOC and maps of soil or vegetation types.The other method is the so called indirect method,which is based on the ecosystem process model of the carbon cycle.The disadvantage of the direct method is that it mainly discloses the difference of the SOC among different soil or vegetation types.It can hardly distinguish the difference of the SOC in the same type of soil or vegetation.The indirect method,a process-based method,is based on the mechanics of carbon transfer in the ecosystem and can potentially improve the spatial resolution of the SOC estimation if the input variables have a high spatial resolution.However,due to the complexity of the process-based model,the model usually simplifies some key model parameters that have spatial heterogeneity with constants.This simplification will produce a great deal of uncertainties in the estimation of the SOC,especially on the spatial precision.In this paper,we combined the process-based model (CASA model) with the measured SOC,in which the remote sensing data (AVHRR NDIV) was incorporated into the model to enhance the spatial resolution.To model the soil base respiration,the Van't Hoff model was used to combine with the CASA model.The results show that this method could significantly improve the spatial precision (8 km spatial resolution).The results also show that there is a relationship between soil base respiration and the SOC as the influence of environmental factors,i.e.,temperature and moisture,had been removed from soil respiration which makes the SOC the most important factor of soil

  14. Sampling strategies for estimating forest cover from remote sensing-based two-stage inventories

    Institute of Scientific and Technical Information of China (English)

    Piermaria; Corona; Lorenzo; Fattorini; Maria; Chiara; Pagliarella

    2015-01-01

    Background: Remote sensing-based inventories are essential in estimating forest cover in tropical and subtropical countries, where ground inventories cannot be performed periodically at a large scale owing to high costs and forest inaccessibility(e.g. REDD projects) and are mandatory for constructing historical records that can be used as forest cover baselines. Given the conditions of such inventories, the survey area is partitioned into a grid of imagery segments of pre-fixed size where the proportion of forest cover can be measured within segments using a combination of unsupervised(automated or semi-automated) classification of satellite imagery and manual(i.e. visual on-screen)enhancements. Because visual on-screen operations are time expensive procedures, manual classification can be performed only for a sample of imagery segments selected at a first stage, while forest cover within each selected segment is estimated at a second stage from a sample of pixels selected within the segment. Because forest cover data arising from unsupervised satellite imagery classification may be freely available(e.g. Landsat imagery)over the entire survey area(wall-to-wall data) and are likely to be good proxies of manually classified cover data(sample data), they can be adopted as suitable auxiliary information.Methods: The question is how to choose the sample areas where manual classification is carried out. We have investigated the efficiency of one-per-stratum stratified sampling for selecting segments and pixels, where to carry out manual classification and to determine the efficiency of the difference estimator for exploiting auxiliary information at the estimation level. The performance of this strategy is compared with simple random sampling without replacement.Results: Our results were obtained theoretically from three artificial populations constructed from the Landsat classification(forest/non forest) available at pixel level for a study area located in central Italy

  15. Supporting a Diverse Community of Undergraduate Researchers in Satellite and Ground-Based Remote Sensing

    Science.gov (United States)

    Blake, R.; Liou-Mark, J.

    2012-12-01

    The U.S. remains in grave danger of losing its global competitive edge in STEM. To find solutions to this problem, the Obama Administration proposed two new national initiatives: the Educate to Innovate Initiative and the $100 million government/private industry initiative to train 100,000 STEM teachers and graduate 1 million additional STEM students over the next decade. To assist in ameliorating the national STEM plight, the New York City College of Technology has designed its NSF Research Experience for Undergraduate (REU) program in satellite and ground-based remote sensing to target underrepresented minority students. Since the inception of the program in 2008, a total of 45 undergraduate students of which 38 (84%) are considered underrepresented minorities in STEM have finished or are continuing with their research or are pursuing their STEM endeavors. The program is comprised of the three primary components. The first component, Structured Learning Environments: Preparation and Mentorship, provides the REU Scholars with the skill sets necessary for proficiency in satellite and ground-based remote sensing research. The students are offered mini-courses in Geographic Information Systems, MATLAB, and Remote Sensing. They also participate in workshops on the Ethics of Research. Each REU student is a member of a team that consists of faculty mentors, post doctorate/graduate students, and high school students. The second component, Student Support and Safety Nets, provides undergraduates a learning environment that supports them in becoming successful researchers. Special networking and Brown Bag sessions, and an annual picnic with research scientists are organized so that REU Scholars are provided with opportunities to expand their professional community. Graduate school support is provided by offering free Graduate Record Examination preparation courses and workshops on the graduate school application process. Additionally, students are supported by college

  16. A parallelogram-based compliant remote-center-of-motion stage for active parallel alignment

    Science.gov (United States)

    Qu, Jianliang; Chen, Weihai; Zhang, Jianbin

    2014-09-01

    Parallel alignment stage with remote-center-of-motion (RCM) is of key importance in precision out-of-plane aligning since it can eliminate the harmful lateral displacement generated at the output platform. This paper presents the development of a parallelogram-based compliant RCM stage for active parallel alignment. Different from conventional parallelogram-based RCM mechanism, the proposed stage is designed with compliant mechanisms, which endows the stage with many attractive merits when used in precision micro-/nanomanipulations. A symmetric double-parallelogram mechanism (SDPM) based on flexure hinges is developed as the rotary guiding component to realize desired RCM function. Due to the geometrical constraint of the SDPM, the operating space of the stage can be easily adjusted by bending the input links without loss of rotational precision. The stage is driven by a piezoelectric actuator and its output motion is measured by non-contact displacement sensors. Based on pseudo-rigid-body simplification method, the analytical models predicting kinematics, statics, and dynamics of the RCM stage have been established. Besides, the dimensional optimization is conducted in order to maximize the first resonance frequency of the stage. After that, finite element analysis is conducted to validate the established models and the prototype of the stage is fabricated for performance tests. The experimental results show that the developed RCM stage has a rotational range of 1.45 mrad while the maximum center shift of the RCM point is as low as 1 μm, which validate the effectiveness of the proposed scheme.

  17. Comparing near-earth and satellite remote sensing based phenophase estimates: an analysis using multiple webcams and MODIS (Invited)

    Science.gov (United States)

    Hufkens, K.; Richardson, A. D.; Migliavacca, M.; Frolking, S. E.; Braswell, B. H.; Milliman, T.; Friedl, M. A.

    2010-12-01

    In recent years several studies have used digital cameras and webcams to monitor green leaf phenology. Such "near-surface" remote sensing has been shown to be a cost effective means of accurately capturing phenology. Specifically, it allows for accurate tracking of intra- and inter-annual phenological dynamics at high temporal frequency and over broad spatial scales compared to visual observations or tower-based fAPAR and broadband NDVI measurements. Near surface remote sensing measurements therefore show promise for bridging the gap between traditional in-situ measurements of phenology and satellite remote sensing data. For this work, we examined the relationship between phenophase estimates derived from satellite remote sensing (MODIS) and near-earth remote sensing derived from webcams for a select set of sites with high-quality webcam data. A logistic model was used to characterize phenophases for both the webcam and MODIS data. We documented model fit accuracy, phenophase estimates, and model biases for both data sources. Our results show that different vegetation indices (VI's) derived from MODIS produce significantly different phenophase estimates compared to corresponding estimates derived from webcam data. Different VI's showed markedly different radiometric properties, and as a result, influenced phenophase estimates. The study shows that phenophase estimates are not only highly dependent on the algorithm used but also depend on the VI used by the phenology retrieval algorithm. These results highlight the need for a better understanding of how near-earth and satellite remote data relate to eco-physiological and canopy changes during different parts of the growing season.

  18. Laser-Based Optical Trap for Remote Sampling of Interplanetary and Atmospheric Particulate Matter Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Phase 1 of this study intends to leverage advances in laser optical trapping technology in order to study the feasibility of a system that could remotely capture a...

  19. Design and Field Tests of an Inverted Based Remote MicroGrid on a Korean Island

    Directory of Open Access Journals (Sweden)

    Woo-Kyu Chae

    2015-08-01

    Full Text Available In this paper, we present the results of an economic feasibility study and propose a system structure to test and maintain electrical stability. In addition, we present real operation results after constructing a remote microgrid on an island in South Korea. To perform the economic feasibility study, a commercial tool called HOMER was used. The developed remote microgrid consists of a 400 kW wind turbine (WT generator, 314 kW photovoltaic (PV generator, 500 kVA × 2 grid forming inverter, 3 MWh lithium ion battery, and an energy management system (EMS. The predicted renewable energy fraction was 91% and real operation result was 82%. The frequency maintaining rate of the diesel power plants was 57% but the remote microgrid was 100%. To improve the operating efficiency of the remote microgrid, we investigated the output range of a diesel generator.

  20. Remote Sensing Terminology in a Global and Knowledge-Based World

    Science.gov (United States)

    Kancheva, Rumiana

    The paper is devoted to terminology issues related to all aspects of remote sensing research and applications. Terminology is the basis for a better understanding among people. It is crucial to keep up with the latest developments and novelties of the terminology in advanced technology fields such as aerospace science and industry. This is especially true in remote sensing and geoinformatics which develop rapidly and have ever extending applications in various domains of science and human activities. Remote sensing terminology issues are directly relevant to the contemporary worldwide policies on information accessibility, dissemination and utilization of research results in support of solutions to global environmental challenges and sustainable development goals. Remote sensing and spatial information technologies are an integral part of the international strategies for cooperation in scientific, research and application areas with a particular accent on environmental monitoring, ecological problems natural resources management, climate modeling, weather forecasts, disaster mitigation and many others to which remote sensing data can be put. Remote sensing researchers, professionals, students and decision makers of different counties and nationalities should fully understand, interpret and translate into their native language any term, definition or acronym found in papers, books, proceedings, specifications, documentation, and etc. The importance of the correct use, precise definition and unification of remote sensing terms refers not only to people working in this field but also to experts in a variety of disciplines who handle remote sensing data and information products. In this paper, we draw the attention on the specifics, peculiarities and recent needs of compiling specialized dictionaries in the area of remote sensing focusing on Earth observations and the integration of remote sensing with other geoinformation technologies such as photogrammetry, geodesy

  1. Based on LSRMAM ICA-Batch Processing for Spectral Unmixing in Remote Sensing

    Science.gov (United States)

    Zhao, Z.; Wang, J.; Hu, B.; Yu, P.

    2009-05-01

    The individual pixels in remote sensing multispectral images are generally compounded as the sum of the radiances of all materials within the instantaneous filed of view of the sensor. Those pixels are called mixed pixels. The decomposition of mixed pixels is constantly an on-going research topic in remote sensing. The current decomposition models have the following characteristics: linear, probability-statistical, random geometric, geometric optical and fuzzy etc. Linear spectral random mixture analysis model (LSMAM) is the most commonly used model for sub-pixel detection and mixed pixel classification at the current time. It is built on the assumption that the same materials within pixels possess the same spectral characteristics as linear additive model. Its structure is simple along with clear theoretical and physical interpretation. There is a better way that assumes the composition of each of the mixed pixels to be a random variable, i.e. a random signal source, and the spectral response curves of ground types are independent to each other. In this way, each of the spectral response curves constitutes a source signal so that the multispectral image can be considered as a mixture of these source signals. Thus the classification of this mixture turns into a blind source separation task, which is no other than the mathematical model of ICA (independent component analysis). Batch processing is one type of linear ICA approaches that are based on high-order statistics. Its core is to use the high order cumulants matrix to optimize the goal function through the Givens transformation. JADE, SHIBBS and JCC algorithms are commonly used at the current time. As the great virtue, the ICA-Batch processing does not require estimating the probability density function of the mixed signal, and is able to process the mixed signal that contains super-Gaussian and sub-Gaussian signals as well. Furthermore, the sum-to-one constraint can be applied to the ICA-Batch processing so

  2. A Method of Target Detection in Remote Sensing Image Captured based for Sensor Network

    Directory of Open Access Journals (Sweden)

    Hai Jin

    2012-02-01

    Full Text Available A refined energy constrained minimization method is developed for target detection in hyperspectral remote sensing images captured by unmanned aerial vehicles (UAVs during their surveillance missions, which has been tested in the experiment under this paper. The experiment result proves, in the detection process, this method can effectively restrain noises so far as the spectral characteristics of any potential target are known, and find sub-pixel targets out effectively from the hyperspectral remote sensing image in unknown background spectrum

  3. The Mach-Zehnder Interferometer: A smart remote experiment based on a software template

    OpenAIRE

    Halimi, Wissam; Salzmann, Christophe; Gillet, Denis

    2016-01-01

    Hands-on laboratory sessions are one of the pillars of science and engineering education. It is reputed that institu- tions find it difficult to provide enough laboratory setups that cover all taught scientific topics due to logistical and budgetary limitations. With the recent advances in web technologies en- abling real-time interaction, remotely accessing physical devices became possible, and so the rise of remote experimentation as a solution to the mentioned limitations. The development ...

  4. A Design of Sensor Network for Remote Communication Based on GPON

    Science.gov (United States)

    Wang, Yubao; Ma, Chong; Wu, Changqi

    2012-09-01

    A new scheme is proposed to realize the remote communication and monitor the sensor network, which is based on GPON. It is suited to carry data collected from optical sensor networks and to monitor environment on a public network. It is a cost-effective system architecture, which not only avoids re-laying of additional sensor fiber channel for sensor data communication, but also increases the flexibility of sensor network. In order to facilitate sensor monitoring center to receive and analyze sensor data, a novel frame format of sensor signal is designed to carry the low-rate sensor data. Here, TDMA techniques have been employed to upload data of various sensor networks to one port of ONU, which makes full use of time domain resources. The delay effect, identification method of the sensor data, and various interference factors which influence the sensor data to be correctly received are analyzed. The uplink simulation indicates that the accurate judgement can be obtained in the condition of time synchronization. The integration of the sensor network and communication network is feasible in reality. However, the time synchronization error, the laser response time delay and the received signal power difference will degrade the system performance to some extent.

  5. Remote health monitoring: predicting outcome success based on contextual features for cardiovascular disease.

    Science.gov (United States)

    Alshurafa, Nabil; Eastwood, Jo-Ann; Pourhomayoun, Mohammad; Liu, Jason J; Sarrafzadeh, Majid

    2014-01-01

    Current studies have produced a plethora of remote health monitoring (RHM) systems designed to enhance the care of patients with chronic diseases. Many RHM systems are designed to improve patient risk factors for cardiovascular disease, including physiological parameters such as body mass index (BMI) and waist circumference, and lipid profiles such as low density lipoprotein (LDL) and high density lipoprotein (HDL). There are several patient characteristics that could be determining factors for a patient's RHM outcome success, but these characteristics have been largely unidentified. In this paper, we analyze results from an RHM system deployed in a six month Women's Heart Health study of 90 patients, and apply advanced feature selection and machine learning algorithms to identify patients' key baseline contextual features and build effective prediction models that help determine RHM outcome success. We introduce Wanda-CVD, a smartphone-based RHM system designed to help participants with cardiovascular disease risk factors by motivating participants through wireless coaching using feedback and prompts as social support. We analyze key contextual features that secure positive patient outcomes in both physiological parameters and lipid profiles. Results from the Women's Heart Health study show that health threat of heart disease, quality of life, family history, stress factors, social support, and anxiety at baseline all help predict patient RHM outcome success.

  6. Study on the urban heat island effect based on quantitative remote sensing technology

    Science.gov (United States)

    Nie, Yunju; Tong, Chengzhuo; Cheng, Penggen; Chen, Xiaoyong; Zhou, Mengyu

    2015-12-01

    In recent years, the effect of urban heat island (UHI) is increasingly obvious with moving forward in further urbanization process, which has become one of the prominent issues of environment. The image data of Nanchang city supplied by Landsat 5 Thematic Mapper (TM) in September 2006 is used in this paper, and the land surface temperature (LST) over the same period has been retrieved by using a mono-window algorithm based on remote sensing technology. The classification of LST is subsequently fulfilled by the method of proper density cutting. Characteristics of intensity and spatial distribution of UHI effect in Nanchang, as well as its relationships with land use type and vegetation coverage degree (VCD) are discussed in detail. The result shows that the phenomena of UHI are significantly presented in urban area with an inhomogeneous distribution, and the degree of influence of UHI depends on types of land uses. The intensity of UHI effect has a significant negative linear correlation with normalized difference vegetation index (NDVI). It is deduced that suitably optimizing land use types and raising VCR are obvious and effective ways to reduce UHI.

  7. A digital filter-based approach to the remote condition monitoring of railway turnouts

    International Nuclear Information System (INIS)

    Railway operations in Europe have changed dramatically since the early 1990s, partly as a result of new European Union Directives. Performance targets have become more and more exacting, due to reductions in state support for railways and the need to increasing traffic. More intensive operations also place greater demands on the hardware of the railway. This is true for both rolling stock and infrastructure subsystems and components, particularly so in the case of the latter where the time available for maintenance is being reduced. The authors of this paper focus on the railway infrastructure, and more specifically on points. These are critical elements whose reliability is key to the operation of the whole system. Using intelligent monitoring systems, it is possible to predict problems and enable quick recovery before component failures disrupt operations. The authors have studied the application of remote condition monitoring to point mechanisms and their operation, and have identified algorithms which may be used to identify incipient failures. In this paper, the authors propose a Kalman filter for the linear discrete data filtering problem encountered when using current sensor data in a point condition monitoring system. The reason for applying Kalman filtering in this study was to increase the reliability of the model presented to the rule-based decision mechanism

  8. Status and trend of NO2 pollution in Indian cities from space based remote sensing

    Directory of Open Access Journals (Sweden)

    ARYA RAMACHANDRAN NAIR

    2015-09-01

    Full Text Available NO2 pollution in Indian cities is a well-known problem requiring adequate analysis and implementation of appropriate control strategies. Advanced space-borne instrument ‘ SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY(SCI AMACHY ’- measurements are proved to be helpful in estimating the tropospheric concentration of NO2 which can meaningfully relate to the ground level pollution. Here, these satellite data are explored to analyse the status and trend in NO2 pollution at ten selected metro cities of India. The appropriate geospatial and statistical methods are employed for the processing and analysis of data. The observed results indicated the status of NO2 pollution in these cities as well as its trend throughout the period 2002 to 2012. This study reports, statistically significant increasing trends in NO2 level at all these cities except one. Also, the influence of climatic seasons on modulating the ambient NO2 level is reflected in all cities. For ensuring the validity of results based on satellite data, a comparison is made between the SCIAMACHY NO2 and ground stations measurements which yielded an agreeable correlation of 0.5.This study demonstrates the applicability of satellite remote sensing for urban air quality monitoring and suggest its usability for other parts of the world where ground station measurements are scarce or not available.

  9. Home-based speech treatment for Parkinson's disease delivered remotely: a case report.

    Science.gov (United States)

    Constantinescu, Gabriella A; Theodoros, Deborah G; Russell, Trevor G; Ward, Elizabeth C; Wilson, Stephen J; Wootton, Richard

    2010-01-01

    We investigated the validity and feasibility of online delivery of the Lee Silverman Voice Treatment (LSVT) for the treatment of the speech disorder of a patient with idiopathic Parkinson's disease. The treatment was delivered in 16 sessions to the participant's home, 90 km from the speech language pathologist. A PC-based videoconferencing system was used, operating at 128 kbit/s over the public telecommunications network. The patient achieved substantial improvements in vocal sound pressure levels during sustained vowel phonation (6.13 dB), reading (12.28 dB) and conversational monologue (11.32 dB). There were improvements in the duration of sustained vowel phonation (4 s). Improvements were also perceived in the degree of breathiness and roughness in the voice, and in overall speech intelligibility in conversation. The patient was very satisfied with the audio and video quality of the conferencing, and with the online treatment overall. He reported a preference for online sessions for the future management of his condition, rather than face-to-face treatment. Remote LSVT delivery was found to be feasible and effective. PMID:20008051

  10. Remote sensing image classification based on block feature point density analysis and multiple-feature fusion

    Science.gov (United States)

    Li, Shijin; Jiang, Yaping; Zhang, Yang; Feng, Jun

    2015-10-01

    With the development of remote sensing (RS) and the related technologies, the resolution of RS images is enhancing. Compared with moderate or low resolution images, high-resolution ones can provide more detailed ground information. However, a variety of terrain has complex spatial distribution. The different objectives of high-resolution images have a variety of features. The effectiveness of these features is not the same, but some of them are complementary. Considering the above information and characteristics, a new method is proposed to classify RS images based on hierarchical fusion of multi-features. Firstly, RS images are pre-classified into two categories in terms of whether feature points are uniformly or non-uniformly distributed. Then, the color histogram and Gabor texture feature are extracted from the uniformly-distributed categories, and the linear spatial pyramid matching using sparse coding (ScSPM) feature is obtained from the non-uniformly-distributed categories. Finally, the classification is performed by two support vector machine classifiers. The experimental results on a large RS image database with 2100 images show that the overall classification accuracy is boosted by 10.1% in comparison with the highest accuracy of single feature classification method. Compared with other multiple-feature fusion methods, the proposed method has achieved the highest classification accuracy on this dataset which has reached 90.1%, and the time complexity of the algorithm is also greatly reduced.

  11. Software Application for Remote Monitoring of Fleets Based on Geographic Information Systems Using Open Source Technologies.

    Directory of Open Access Journals (Sweden)

    Jesse Daniel Cano

    2012-11-01

    Full Text Available Controlling a fleet usually implies to establish means of control of vehicles, to collect the data associated with the routes taken by these vehicles, to interpret and evaluate the meaning of the collected data and to make the appropriate decisions to improve the efficiency in the use of vehicles in an organization. The implementation of this process of fleet management is mainly performed manually and the solutions available on the market are costly because of the payments for licenses, it is also necessary that the people monitoring the fleets are geographically close to them. This paper aims to answer the following questions: How to reduce errors in the management of information resulting from the fleet management process? How to reduce the cost of remote fleet monitoring? To obtain the solution, we propose the use of GPS devices in each vehicle, the GPS device’s information is captured and consistently stored in a data base, then the information is consulted, analyzed and represented on a map. The result is a software application that allows users have fast and reliable information that will enable them to take the necessary decisions in the vehicle fleet they are trying to control at a low cost.

  12. An Improved Unmixing-Based Fusion Method: Potential Application to Remote Monitoring of Inland Waters

    Directory of Open Access Journals (Sweden)

    Yulong Guo

    2015-02-01

    Full Text Available Although remote sensing technology has been widely used to monitor inland water bodies; the lack of suitable data with high spatial and spectral resolution has severely obstructed its practical development. The objective of this study is to improve the unmixing-based fusion (UBF method to produce fused images that maintain both spectral and spatial information from the original images. Images from Environmental Satellite 1 (HJ1 and Medium Resolution Imaging Spectrometer (MERIS were used in this study to validate the method. An improved UBF (IUBF algorithm is established by selecting a proper HJ1-CCD image band for each MERIS band and thereafter applying an unsupervised classification method in each sliding window. Viewing in the visual sense—the radiance and the spectrum—the results show that the improved method effectively yields images with the spatial resolution of the HJ1-CCD image and the spectrum resolution of the MERIS image. When validated using two datasets; the ERGAS index (Relative Dimensionless Global Error indicates that IUBF is more robust than UBF. Finally, the fused data were applied to evaluate the chlorophyll a concentrations (Cchla in Taihu Lake. The result shows that the Cchla map obtained by IUBF fusion captures more detailed information than that of MERIS.

  13. Analysis of Spatio-Temporal Changes of Land Usein Xuzhou City Based on Remote Sensing

    Institute of Scientific and Technical Information of China (English)

    HU Zhao-ling; DU Pei-jun; GUO Da-zhi

    2006-01-01

    Based on the satellite remote sensing TM/ETM images of Xuzhou city, basic data about land use of the city from 1994 to 2000 are obtained with the neural network classification module of PCI software, and the dynamic conversion matrix of land use is thus calculated. The areas of construction land and water body have increased by 1833.93hm2 and 804.87 hm2, respectively. On the contrary, the area of cropland has decreased by 3207.24 hm2. The area of cropland converted into construction land makes up 26.84%, and that converted into water body amounts for 8.17% of the total area of cropland in 1994. The variation index of land use degree and the dynamic degree index of land use computed are 1.38 and 57.81%, respectively, which demonstrate that land use in Xuzhou is in a development period and the changes are drastic. The frequency index and importance index of the form in which cropland converted into construction land are 29.91% and 68.93% respectively. The results indicate that the change is not only widespread in space but a major form of spatial change of land use in the area.

  14. Fusing Multiscale Charts into 3D ENC Systems Based on Underwater Topography and Remote Sensing Image

    Directory of Open Access Journals (Sweden)

    Tao Liu

    2015-01-01

    Full Text Available The purpose of this study is to propose an approach to fuse multiscale charts into three-dimensional (3D electronic navigational chart (ENC systems based on underwater topography and remote sensing image. This is the first time that the fusion of multiscale standard ENCs in the 3D ENC system has been studied. First, a view-dependent visualization technology is presented for the determination of the display condition of a chart. Second, a map sheet processing method is described for dealing with the map sheet splice problem. A process order called “3D order” is designed to adapt to the characteristics of the chart. A map sheet clipping process is described to deal with the overlap between the adjacent map sheets. And our strategy for map sheet splice is proposed. Third, the rendering method for ENC objects in the 3D ENC system is introduced. Fourth, our picking-up method for ENC objects is proposed. Finally, we implement the above methods in our system: automotive intelligent chart (AIC 3D electronic chart display and information systems (ECDIS. And our method can handle the fusion problem well.

  15. Ship Detection of Remote Sensing Image on FRHT and Multi-Points Curvature Based Polygon Approximation

    Directory of Open Access Journals (Sweden)

    Wang Luo

    2012-08-01

    Full Text Available One of the most difficult tasks of ship detection is detecting the ship which is docking at the port in remote sensing image. Traditional methods of automatic detection cannot be used to detect the land/waterboundaries, because both the gray values and textural features of a port are similar to those of the ships which are docking at the port. Therefore, ships cannot be accurately detected in this case. In this study, a novel method of land/water-boundaries detection is proposed, which is based on a polygon approximation method by incorporating two techniques, i.e., Fuzzy Randomized Hough Transform (FRHT and Multi-Points Curvature (MPC. The method considered the feature of human vision that the straight-line of the land/water-boundaries can be detected more accurately and rapidly. With the detection result of land/water-boundaries, ships docking at the port can be accurately detected. The experiment results demonstrate that this method can achieve good result of ship detection.

  16. Performance assessment of a remotely readable graphite oxide (GO)-based tamper-evident seal

    Science.gov (United States)

    Cattaneo, Alessandro; Marchi, Alexandria N.; Bossert, Jason A.; Dumont, Joseph H.; Gupta, Gautam; Mascareñas, David D. L.

    2016-04-01

    Tamper-evident seals are commonly used for non-proliferation applications. A properly engineered tamper-evident seal enables the detection of unauthorized access to a protected item or a secured zone. Tamper-evident seals must be susceptible to malicious attacks. These attacks should cause irreversible and detectable damage to the seals. At the same time, tamper-evident seals must demonstrate robustness to environmental changes in order to minimize false-positive and false-negative rates under real operating conditions. The architecture of the tamper-evident seal presented in this paper features a compressive sampling (CS) acquisition scheme, which provides the seal with a means for self- authentication and self-state of health awareness. The CS acquisition scheme is implemented using a micro-controller unit (MCU) and an array of resistors engraved on a graphite oxide (GO) film. CS enables compression and encryption of messages sent from the seal to the remote reader in a non-bit sensitive fashion. As already demonstrated in our previous work through the development of a simulation framework, the CS non-bit sensitive property ensures satisfactory reconstruction of the encrypted messages sent back to the reader when the resistance values of the resistor array are simultaneously affected by modest changes. This work investigates the resistive behavior of the reduced GO film to changes in temperature and humidity when tested in an environmental chamber. The goal is to characterize the humidity and temperature range for reliable operation of a GO-based seal.

  17. Ground-based imaging remote sensing of ice clouds: uncertainties caused by sensor, method and atmosphere

    Science.gov (United States)

    Zinner, Tobias; Hausmann, Petra; Ewald, Florian; Bugliaro, Luca; Emde, Claudia; Mayer, Bernhard

    2016-09-01

    In this study a method is introduced for the retrieval of optical thickness and effective particle size of ice clouds over a wide range of optical thickness from ground-based transmitted radiance measurements. Low optical thickness of cirrus clouds and their complex microphysics present a challenge for cloud remote sensing. In transmittance, the relationship between optical depth and radiance is ambiguous. To resolve this ambiguity the retrieval utilizes the spectral slope of radiance between 485 and 560 nm in addition to the commonly employed combination of a visible and a short-wave infrared wavelength.An extensive test of retrieval sensitivity was conducted using synthetic test spectra in which all parameters introducing uncertainty into the retrieval were varied systematically: ice crystal habit and aerosol properties, instrument noise, calibration uncertainty and the interpolation in the lookup table required by the retrieval process. The most important source of errors identified are uncertainties due to habit assumption: Averaged over all test spectra, systematic biases in the effective radius retrieval of several micrometre can arise. The statistical uncertainties of any individual retrieval can easily exceed 10 µm. Optical thickness biases are mostly below 1, while statistical uncertainties are in the range of 1 to 2.5.For demonstration and comparison to satellite data the retrieval is applied to observations by the Munich hyperspectral imager specMACS (spectrometer of the Munich Aerosol and Cloud Scanner) at the Schneefernerhaus observatory (2650 m a.s.l.) during the ACRIDICON-Zugspitze campaign in September and October 2012. Results are compared to MODIS and SEVIRI satellite-based cirrus retrievals (ACRIDICON - Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems; MODIS - Moderate Resolution Imaging Spectroradiometer; SEVIRI - Spinning Enhanced Visible and Infrared Imager). Considering the identified

  18. WindScanner.dk - a new Remote Sensing based Research Infrastructure for on- and offshore Wind Energy Research

    DEFF Research Database (Denmark)

    Mikkelsen, Torben

    Recent measurement achievements obtained with new 3D remote sensing based WindScanners will be presented. Our new WindScanner research infrastructure (www.windscanner.dk) development based on remote sensing wind lidars will be presented and first results shown. Wind velocity 3D vector measurements...... obtained in planetary boundary layer turbulent flow have been acquired from both ground-based and wind turbine-integrated space by time and space synchronized scanning lidars. Results to date include: turbulent inflow over complex terrain scanned in a horizontal-vertical 2D scan plane, and 2-dimensional...... and 3-dimensional wind vector scan measurements obtained during various WindScanner boundary-layer field campaigns. A special designed `2D upwind rotor plane scanning SpinnerLidar', mounted in the rotating spinner, and able to provide the wind turbine control systems with detailed upwind feed...

  19. [The Change Detection of High Spatial Resolution Remotely Sensed Imagery Based on OB-HMAD Algorithm and Spectral Features].

    Science.gov (United States)

    Chen, Qiang; Chen, Yun-hao; Jiang, Wei-guo

    2015-06-01

    The high spatial resolution remotely sensed imagery has abundant detailed information of earth surface, and the multi-temporal change detection for the high resolution remotely sensed imagery can realize the variations of geographical unit. In terms of the high spatial resolution remotely sensed imagery, the traditional remote sensing change detection algorithms have obvious defects. In this paper, learning from the object-based image analysis idea, we proposed a semi-automatic threshold selection algorithm named OB-HMAD (object-based-hybrid-MAD), on the basis of object-based image analysis and multivariate alternative detection algorithm (MAD), which used the spectral features of remotely sensed imagery into the field of object-based change detection. Additionally, OB-HMAD algorithm has been compared with other the threshold segmentation algorithms by the change detection experiment. Firstly, we obtained the image object by the multi-solution segmentation algorithm. Secondly, we got the object-based difference image object using MAD and minimum noise fraction rotation (MNF) for improving the SNR of the image object. Then, the change objects or area are classified using histogram curvature analysis (HCA) method for the semi-automatic threshold selection, which determined the threshold by calculated the maximum value of curvature of the histogram, so the HCA algorithm has better automation than other threshold segmentation algorithms. Finally, the change detection results are validated using confusion matrix with the field sample data. Worldview-2 imagery of 2012 and 2013 in case study of Beijing were used to validate the proposed OB-HMAD algorithm. The experiment results indicated that OB-HMAD algorithm which integrated the multi-channel spectral information could be effectively used in multi-temporal high resolution remotely sensed imagery change detection, and it has basically solved the "salt and pepper" problem which always exists in the pixel-based change

  20. Comparing the Cloud Vertical Structure Derived from Several Methods Based on Radiosonde Profiles and Ground-based Remote Sensing Measurements

    Energy Technology Data Exchange (ETDEWEB)

    Costa-Suros, M.; Calbo, J.; Gonzalez, J. A.; Long, Charles N.

    2014-08-27

    The cloud vertical distribution and especially the cloud base height, which is linked to cloud type, is an important characteristic in order to describe the impact of clouds in a changing climate. In this work several methods to estimate the cloud vertical structure (CVS) based on atmospheric sounding profiles are compared, considering number and position of cloud layers, with a ground based system which is taken as a reference: the Active Remote Sensing of Clouds (ARSCL). All methods establish some conditions on the relative humidity, and differ on the use of other variables, the thresholds applied, or the vertical resolution of the profile. In this study these methods are applied to 125 radiosonde profiles acquired at the ARM Southern Great Plains site during all seasons of year 2009 and endorsed by GOES images, to confirm that the cloudiness conditions are homogeneous enough across their trajectory. The overall agreement for the methods ranges between 44-88%; four methods produce total agreements around 85%. Further tests and improvements are applied on one of these methods. In addition, we attempt to make this method suitable for low resolution vertical profiles, which could be useful in atmospheric modeling. The total agreement, even when using low resolution profiles, can be improved up to 91% if the thresholds for a moist layer to become a cloud layer are modified to minimize false negatives with the current data set, thus improving overall agreement.

  1. Tracking of urban aerosols using combined LIDAR-based remote sensing and ground-based measurements

    Directory of Open Access Journals (Sweden)

    T.-Y. He

    2012-05-01

    Full Text Available A measuring campaign was performed over the neighboring towns of Nova Gorica in Slovenia and Gorizia in Italy on 24 and 25 May 2010, to investigate the concentration and distribution of urban aerosols. Tracking of two-dimensional spatial and temporal aerosol distributions was performed using scanning elastic LIDAR, operating at 1064 nm. In addition, PM10 concentrations of particles, NOx concentrations and meteorological data were continuously monitored within the LIDAR scanning region. Based on the data we collected, we investigated the flow dynamics and the aerosol concentrations within the lower troposphere and found an evidence for daily aerosol cycles. We observed a number of cases with spatially localized increased LIDAR returns, which are associated with the presence of point sources of particulate matter. Daily aerosol concentration cycles were also clearly visible with a peak in aerosol concentration during the morning rush hours and daily plateau at around 17:00 Central European Time. We also found that horizontal atmospheric extinction at the height of 200 m, averaged in limited region with a radius of 300 m directly above the ground-based measuring site, was linearly correlated to the PM10 concentration with a correlation coefficient of 0.84. When considering the average of the horizontal atmospheric extinction over the entire scanning region, a strong dependence on traffic conditions (concentration of NOx in the vicinity of the ground-based measuring site was observed.

  2. Development and Evaluation of a Uav Based Mapping System for Remote Sensing and Surveying Applications

    Science.gov (United States)

    Eling, C.; Wieland, M.; Hess, C.; Klingbeil, L.; Kuhlmann, H.

    2015-08-01

    In recent years, unmanned aerial vehicles (UAVs) have increasingly been used in various application areas, such as in the remote sensing or surveying. For these applications the UAV has to be equipped with a mapping sensor, which is mostly a camera. Furthermore, a georeferencing of the UAV platform and/or the acquired mapping data is required. The most efficient way to realize this georeferencing is the direct georeferencing, which is based on an onboard multi-sensor system. In recent decades, direct georeferencing systems have been researched and used extensively in airborne, ship and land vehicle applications. However, these systems cannot easily be adapted to UAV platforms, which is mainly due to weight and size limitations. In this paper a direct georeferencing system for micro- and mini-sized UAVs is presented, which consists of a dual-frequency geodetic grade OEM GPS board, a low-cost single-frequency GPS chip, a tactical grade IMU and a magnetometer. To allow for cm-level position and sub-degree attitude accuracies, RTK GPS (real-time kinematic) and GPS attitude (GPS compass) determination algorithms are running on this system, as well as a GPS/IMU integration. Beside the direct georeferencing, also the precise time synchronization of the camera, which acts as the main sensor for mobile mapping applications, and the calibration of the lever arm between the camera reference point and the direct georeferencing reference point are explained in this paper. Especially the high accurate time synchronization of the camera is very important, to still allow for high surveying accuracies, when the images are taken during the motion of the UAV. Results of flight tests demonstrate that the developed system, the camera synchronization and the lever arm calibration make directly georeferenced UAV based single point measurements possible, which have cm-level accuracies on the ground.

  3. PC-based workstation for global PACS remote consultation and diagnosis in rural clinics

    Science.gov (United States)

    Martinez, Ralph; Robles, Saul; Kim, Jinman

    1995-05-01

    Most rural clinics across the country have limited facilities to provide state-of-the-art medical services. The availability of enabling technologies, such as telecommunication networks, multimedia workstations, and telemedicine systems which provide medical services to patients without requiring them to travel from their cities represents a great step in patient care. In previous work, we have developed a distributed software for remote consultation and diagnosis (RCD) in a Global PACS environment over the Internet. The RCD system has been designed and tested on DEC and SUN workstations. In this paper, we present a Unix-PC based platform to implement the RCD over a standard telephone line and Serial Line Internet Protocol (SLIP). The Unix-PC platform offers an inexpensive option for telemedicine workstations in rural clinics, where no Internet is available. If an Internet connection is available at the rural clinic, full RCD multimedia services are possible. The Unix-PC platform has been developed by using Linux, a Unix-like operating system available from several public sites over the Internet. We call the system PC-PACS. The PC-PACS workstation has been tested from different rural sites by connecting the Unix-PC system to the Internet through SLIP. Once the system is connected, RCD sessions have been performed between the Unix- PC platform and SUN workstations. The tests have included diagnosis on radiology and pathology images. A separate telephone line for voice communications during the RCD session is required. This paper describes performance tests for the PC-based workstation and the RCD system over SLIP and Ethernet interfaces. Results show acceptable performance of the workstation and the RCD software.

  4. Verification of the two-dimensional hydrodynamic model based on remote sensing

    Science.gov (United States)

    Sazonov, Alexey; Mikhailukova, Polina; Krylenko, Inna; Frolova, Natalya; Kireeva, Mariya

    2016-04-01

    Mathematical modeling methods are used more and more actively to evaluate possible damage, identify potential flood zone and the influence of individual factors affecting the river during the passage of the flood. Calculations were performed by means of domestic software complex «STREAM-2D» which is based on the numerical solution of two-dimensional St. Venant equations. One of the major challenges in mathematical modeling is the verification of the model. This is usually made using data on water levels from hydrological stations: the smaller the difference of the actual level and the simulated one, the better the quality of the model used. Data from hydrological stations are not always available, so alternative sources of verification, such as remote sensing, are increasingly used. The aim of this work is to develop a method of verification of hydrodynamic model based on a comparison of actual flood zone area, which in turn is determined on the basis of the automated satellite image interpretation methods for different imaging systems and flooded area obtained in the course of the model. The study areas are Lena River, The North Dvina River, Amur River near Blagoveshchensk. We used satellite images made by optical and radar sensors: SPOT-5/HRG, Resurs-F, Radarsat-2. Flooded area were calculated using unsupervised classification (ISODATA and K-mean) for optical images and segmentation for Radarsat-2. Knowing the flow rate and the water level at a given date for the upper and lower limits of the model, respectively, it is possible to calculate flooded area by means of program STREAM-2D and GIS technology. All the existing vector layers with the boundaries of flooding are included in a GIS project for flood area calculation. This study was supported by the Russian Science Foundation, project no. 14-17-00155.

  5. Combination of ground-based and satellite remote sensing measurements over Limassol

    Science.gov (United States)

    Nisantzi, Argyro; Mamouri, Rodanthi E.; Akylas, Evangelos; Hadjimitsis, Diofantos G.

    2013-08-01

    According to the International Panel of Climate Change (IPCC, 2007) there are still uncertainties in climate change predictions due to the impact of aerosols in the solar irradiance. The scattering procedure of aerosols depends strongly on their shape and size distribution while lidar techniques could give the vertical distribution of them. Southeastern Mediterranean is affected by air masses of different sources thus layers with complicate aerosol composition are frequently observed over Cyprus. A backscatter lidar has been established at Cyprus University of Technology's (CUT) premises (34°N, 33°E) since 2010, in order to provide vertical profiles of the aerosol optical properties such as backscatter coefficient and particle depolarization ratio. More than 2 years of daily measurements have been analyzed for the period of May 2010 to May 2012. From this dataset, there are almost 45 CALISPO coincidence overpasses at a distance of less than 105km from the location of the ground-based lidar and from those two cases were selected. Both, ground based and space born active remote sensing techniques were used in order to characterize aerosol layers in the free troposphere over SE Mediterranean. The layers of CALIPSO and CUT's lidar observations have been examined with respect to their origin, in order to retrieve the backscatter coefficient and the particle depolarization ratio at 532nm. The analysis of the presented cases, together with the air mass back-trajectories calculations, in accordance with depolarization retrievals, show that non-spherical particles originated from Africa whereas marine layer consist of spherical particles. Furthermore aerosol optical properties such as Ångström exponents (AE) derived from the sun-photometer belonging to the AERONET network at Limassol city were used complementary in order to support our analysis.

  6. Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion

    Directory of Open Access Journals (Sweden)

    Yansheng Li

    2016-08-01

    Full Text Available With the urgent demand for automatic management of large numbers of high-resolution remote sensing images, content-based high-resolution remote sensing image retrieval (CB-HRRS-IR has attracted much research interest. Accordingly, this paper proposes a novel high-resolution remote sensing image retrieval approach via multiple feature representation and collaborative affinity metric fusion (IRMFRCAMF. In IRMFRCAMF, we design four unsupervised convolutional neural networks with different layers to generate four types of unsupervised features from the fine level to the coarse level. In addition to these four types of unsupervised features, we also implement four traditional feature descriptors, including local binary pattern (LBP, gray level co-occurrence (GLCM, maximal response 8 (MR8, and scale-invariant feature transform (SIFT. In order to fully incorporate the complementary information among multiple features of one image and the mutual information across auxiliary images in the image dataset, this paper advocates collaborative affinity metric fusion to measure the similarity between images. The performance evaluation of high-resolution remote sensing image retrieval is implemented on two public datasets, the UC Merced (UCM dataset and the Wuhan University (WH dataset. Large numbers of experiments show that our proposed IRMFRCAMF can significantly outperform the state-of-the-art approaches.

  7. Remote Sensing Based Yield Estimation in a Stochastic Framework — Case Study of Durum Wheat in Tunisia

    Directory of Open Access Journals (Sweden)

    Michele Meroni

    2013-01-01

    Full Text Available Multitemporal optical remote sensing constitutes a useful, cost efficient method for crop status monitoring over large areas. Modelers interested in yield monitoring can rely on past and recent observations of crop reflectance to estimate aboveground biomass and infer the likely yield. Therefore, in a framework constrained by information availability, remote sensing data to yield conversion parameters are to be estimated. Statistical models are suitable for this purpose, given their ability to deal with statistical errors. This paper explores the performance in yield estimation of various remote sensing indicators based on varying degrees of bio-physical insight, in interaction with statistical methods (linear regressions that rely on different hypotheses. Performances in estimating the temporal and spatial variability of yield, and implications of data scarcity in both dimensions are investigated. Jackknifed results (leave one year out are presented for the case of wheat yield regional estimation in Tunisia using the SPOT-VEGETATION instrument. Best performances, up to 0.8 of R2, are achieved using the most physiologically sound remote sensing indicator, in conjunction with statistical specifications allowing for parsimonious spatial adjustment of the parameters.

  8. A new approach to accurate validation of remote sensing retrieval of evapotranspiration based on data fusion

    Directory of Open Access Journals (Sweden)

    C. Sun

    2010-03-01

    Full Text Available The study presented a new method of validating the remote-sensing (RS retrieval of evapotranspiration (ET under the support of a distributed hydrological model: Soil and Water Assessment Tool (SWAT. In this method, the output runoff data based on a fusion of ET data, meteorological data and rainfall data, etc. were compared with the observed runoff data, so as to carry out validation analysis. A new pattern of validating the ET data obtained from RS retrieval, which was more appropriate than the conventional means of observing the ET at several limited stations based on eddy covariance, was proposed. It has integrated the advantage of high requirement of ET with high spatial resolution in the distributed hydrological model and that of the capacity of providing ET with high spatial resolution in RS methods.

    First, the ET data in five years (2000–2004 were retrieved with RS according to the principle of energy balance. The temporal/spatial ditribution of monthly ET data and related causes were analyzed in the year of 2000, and the monthly ET in the five years was calculated according to the PM model. Subsequently, the results of the RS retrieval of ET and the PM-based ET calculation were compared and validated. Finnaly, the ET data obtained from RS retrieval was evaluated with the new method, under the support of SWAT, meteorologic data, Digital Elevation Model (DEM, landuse data and soil data, etc. as the input, being compared with the PM-based ET.

    According to the ET data analysis, it can be inferred that the ET obtained from RS retrieval was more continuous and stable with less saltation, while the PM-based ET presented saltation, especially in the year of 2000 and 2001. The correlation coefficient between the monthly ET in two methods reaches 0.8914, which could be explained by the influence from clouds and the inadequate representativeness of the meteorologic stations. Moreover, the PM-based ET was smaller than the ET

  9. DESIGN AND IMPLEMENTATION OF ROLE BASE ACCESS CONTROL SYSTEM FOR NETWORK RESOURCES

    Directory of Open Access Journals (Sweden)

    S.R. Kodituwakku

    2010-11-01

    Full Text Available Role Based Access Control is very useful for providing a high level description of access control for organizational applications. This paper proposes a role based framework that deals with security problems in an intranet environment. The proposed framework protects intranet resources from unauthorized users. The salient feature of the framework is that it allows intranet users to access only authorized resources. It consists of two kinds of role hierarchies: global role hierarchy and local role hierarchy, and two levels of permissions: server permission and object permission. They simplify the way of structuring authority and responsibility in the whole intranet and the allocation of privileges for different objects within a particular server. The proposed framework is implemented over Windows platform and tested for the validity. The test results indicated that it can successfully be used to control accessing network objects.

  10. INTERACTIVE CHANGE DETECTION USING HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON ACTIVE LEARNING WITH GAUSSIAN PROCESSES

    Directory of Open Access Journals (Sweden)

    H. Ru

    2016-06-01

    Full Text Available Although there have been many studies for change detection, the effective and efficient use of high resolution remote sensing images is still a problem. Conventional supervised methods need lots of annotations to classify the land cover categories and detect their changes. Besides, the training set in supervised methods often has lots of redundant samples without any essential information. In this study, we present a method for interactive change detection using high resolution remote sensing images with active learning to overcome the shortages of existing remote sensing image change detection techniques. In our method, there is no annotation of actual land cover category at the beginning. First, we find a certain number of the most representative objects in unsupervised way. Then, we can detect the change areas from multi-temporal high resolution remote sensing images by active learning with Gaussian processes in an interactive way gradually until the detection results do not change notably. The artificial labelling can be reduced substantially, and a desirable detection result can be obtained in a few iterations. The experiments on Geo-Eye1 and WorldView2 remote sensing images demonstrate the effectiveness and efficiency of our proposed method.

  11. Interactive Change Detection Using High Resolution Remote Sensing Images Based on Active Learning with Gaussian Processes

    Science.gov (United States)

    Ru, Hui; Yu, Huai; Huang, Pingping; Yang, Wen

    2016-06-01

    Although there have been many studies for change detection, the effective and efficient use of high resolution remote sensing images is still a problem. Conventional supervised methods need lots of annotations to classify the land cover categories and detect their changes. Besides, the training set in supervised methods often has lots of redundant samples without any essential information. In this study, we present a method for interactive change detection using high resolution remote sensing images with active learning to overcome the shortages of existing remote sensing image change detection techniques. In our method, there is no annotation of actual land cover category at the beginning. First, we find a certain number of the most representative objects in unsupervised way. Then, we can detect the change areas from multi-temporal high resolution remote sensing images by active learning with Gaussian processes in an interactive way gradually until the detection results do not change notably. The artificial labelling can be reduced substantially, and a desirable detection result can be obtained in a few iterations. The experiments on Geo-Eye1 and WorldView2 remote sensing images demonstrate the effectiveness and efficiency of our proposed method.

  12. Design and Implementation of Remote/Short-range Smart Home Monitoring System Based on ZigBee and STM32

    Directory of Open Access Journals (Sweden)

    Yuanxin Lin

    2013-03-01

    Full Text Available As the continuous development of Internet of Things (IOT, life intelligent gradually. Therefore, home devices of remote/short-range monitoring become the inevitable trend of development. Based on this background, the smart home monitoring system is presented based on the STM32 and ZigBee technology. The system uses a low-power-cost STM32 processor as the main controller and porting of µC/OS-II and µC/GUI on the system is achieved. The system uses a resistive touch screen as the human-computer interaction interface, combined with the ZigBee technology to achieve a short-range monitoring of home devices. The system transplanted and modified the procedures of UIP network protocol. The master controller is connected to the Ethernet and erected a WEB server, achieved the remote monitoring of home devices. And finally give the implementation details of the prototype system and functional testing.

  13. Improved ground-based remote-sensing systems help monitor plant response to climate and other changes

    Science.gov (United States)

    Dye, Dennis G.; Bogle, Rian C.

    2016-05-26

    Scientists at the U.S. Geological Survey are improving and developing new ground-based remote-sensing instruments and techniques to study how Earth’s vegetation responds to changing climates. Do seasonal grasslands and forests “green up” early (or late) and grow more (or less) during unusually warm years? How do changes in temperature and precipitation affect these patterns? Innovations in ground-based remote-sensing instrumentation can help us understand, assess, and mitigate the effects of climate change on vegetation and related land resources.

  14. Improved ground-based remote-sensing systems help monitor plant response to climate and other changes

    Science.gov (United States)

    Dye, Dennis G.; Bogle, Rian C.

    2016-01-01

    Scientists at the U.S. Geological Survey are improving and developing new ground-based remote-sensing instruments and techniques to study how Earth’s vegetation responds to changing climates. Do seasonal grasslands and forests “green up” early (or late) and grow more (or less) during unusually warm years? How do changes in temperature and precipitation affect these patterns? Innovations in ground-based remote-sensing instrumentation can help us understand, assess, and mitigate the effects of climate change on vegetation and related land resources.

  15. SECURE REMOTE CLIENT AUTHENTICATION

    Directory of Open Access Journals (Sweden)

    K.Pradeep,

    2010-10-01

    Full Text Available This paper discusses an application of Secure Remote Client Authentication. It presents a Smart Cards and Digitally certification from third party vendors, Smart cards are based on algorithm to provide secure Remote client Authentication. These schemes vary significantly.In relation to today’s security challenges, which includephishing, man-in-the-middle attacks and malicious software. Secure Remote Client authentication plays a key role.

  16. SECURE REMOTE CLIENT AUTHENTICATION

    OpenAIRE

    K.Pradeep,; R.Usha Rani; E.Ravi Kumar; K.Nikhila,; Vijay Sankar

    2010-01-01

    This paper discusses an application of Secure Remote Client Authentication. It presents a Smart Cards and Digitally certification from third party vendors, Smart cards are based on algorithm to provide secure Remote client Authentication. These schemes vary significantly.In relation to today’s security challenges, which includephishing, man-in-the-middle attacks and malicious software. Secure Remote Client authentication plays a key role.

  17. Community-based clinical education increases motivation of medical students to medicine of remote area : comparison between lecture and practice

    OpenAIRE

    TANI, Kenji; Yamaguchi, Harutaka; Tada, Saaya; Kondo, Saki; Tabata, Ryo; Yuasa, Shino; Kawaminami, Shingo; Nakanishi, Yoshinori; Ito, Jun; Shimizu, Nobuhiko; Obata, Fumiaki; Shin, Teruki; Bando, Hiroyasu; Kohno, Mitsuhiro

    2014-01-01

    In this study, we administered a questionnaire to medical students to evaluate the effect of community-based clinical education on their attitudes to community medicine and medicine in remote area. Questionnaires were given 4 times to all the students from first-year to sixth-year. Of 95 students, 65 students (68.4%) who completed all questionnaires, were used in this study. The intensity of students’ attitudes was estimated by using visual analogue scale. The intensity of interest, a sens...

  18. Remote Sensing of Sonoran Desert Vegetation Structure and Phenology with Ground-Based LiDAR

    OpenAIRE

    Sankey, Joel B.; Munson, Seth M.; Webb, Robert H.; Wallace, Cynthia S.A.; Cesar M. Duran

    2014-01-01

    Long-term vegetation monitoring efforts have become increasingly important for understanding ecosystem response to global change. Many traditional methods for monitoring can be infrequent and limited in scope. Ground-based LiDAR is one remote sensing method that offers a clear advancement to monitor vegetation dynamics at high spatial and temporal resolution. We determined the effectiveness of LiDAR to detect intra-annual variability in vegetation structure at a long-term Sonoran Desert moni...

  19. Architecture, Inertial Navigation, and Payload Designs for Low-Cost Unmanned Aerial Vehicle-Based Personal Remote Sensing

    OpenAIRE

    Coopmans, Calvin

    2010-01-01

    This thesis presents work done towards a Personal Remote Sensing (PRS) system: small Unmanned Aerial Vehicles (UAVs) with electronic, control, and sensing subsystems. Based on papers presented to conferences (AutoTestCon2008 and MESA2009), as well as other work on PRS, multiple levels of engineering are detailed: complex multi-UAV data flow; attitude estimation filters; real-time microprocessor functionality; and small, mobile power systems. Wherever possible, Open-Source tools and designs ...

  20. Remote Sensing-based Estimates of Potential Evapotranspiration for Hydrologic Modeling in the Upper Colorado River Basin Region

    OpenAIRE

    Barik, Muhammad Ghulam

    2014-01-01

    Potential Evapotranspiration (PET) is used as a common input to calculate evaporative demand in hydrological, ecological and biological modeling. Dynamic and distributed measurement of PET is important for improved hydrologic predictions at the watershed scale since PET varies with time and space. In this work, an advanced dynamic PET estimation is proposed by integrating geostationary satellite products into a currently existing remote sensing-based PET algorithm and evaluated in the framewo...

  1. Tracking of urban aerosols using combined lidar-based remote sensing and ground-based measurements

    Directory of Open Access Journals (Sweden)

    T.-Y. He

    2011-10-01

    Full Text Available A measuring campaign was performed over the neighboring towns of Nova Gorica in Slovenia and Gorizia in Italy on 24 and 25 May 2010, to investigate the concentration and distribution of urban aerosols. Tracking of two-dimensional spatial and temporal aerosol distributions was performed using scanning elastic lidar operating at 1064 nm. In addition, PM10 concentrations of particles, NOx and meteorological data were continuously monitored within the lidar scanning region. Based on the collected data, we investigated the flow dynamics and the aerosol concentrations within the lower troposphere and an evidence for daily aerosol cycles. We observed a number of cases with spatially localized increased lidar returns, which were found to be due to the presence of point sources of particulate matter. Daily aerosol concentration cycles were also clearly visible with a peak in aerosol concentration during the morning rush hours and daily maximum at around 17:00 Central European Time. We also found that the averaged horizontal atmospheric extinction within the scanning region 200 m above the ground is correlated to the PM10 concentration at the ground level with a correlation coefficient of 0.64, which may be due to relatively quiet meteorological conditions and basin-like terrain configuration.

  2. InfoSequia: the first operational remote sensing-based Drought Monitoring System of Spain

    Science.gov (United States)

    Contreras, Sergio; Hunink, Johannes E.

    2016-04-01

    We present a satellite-based Drought Monitoring System that provides weekly updates of maps and bulletins with vegetation drought indices over the Iberian Peninsula. The web portal InfoSequía (http://infosequia.es) aims to complement the current Spanish Drought Monitoring System which relies on a hydrological drought index computed at the basin level using data on river flows and water stored in reservoirs. Drought indices computed by InfoSequia are derived from satellite data provided by MODIS sensors (TERRA and AQUA satellites), and report the relative anomaly observed in the Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and in an additive combination of both. Similar to the U.S. Drought Monitoring System by NOAA, the indices include the Vegetation Condition Index (VCI, relative NDVI anomaly), the Temperature Condition Index (TCI, relative LST anomaly) and the Vegetation Health Index (VHI, relative NDVI-LST anomaly). Relative anomalies are codified into four warning levels, and all of them are provided for short periods of time (8-day windows), or longer periods (e.g. 1 year) in order to capture the cumulative effects of droughts in the state variables. Additionally, InfoSequia quantifies the seasonal trajectories of the cumulative deviation of the observed NDVI in relation with the averaged seasonal trajectory observed over a reference period. Through the weekly bulletins, the Drought Monitoring System InfoSequia aims to provide practical information to stakeholders on the sensitivity and resilience of native ecosystems and rainfed agrosystems during drought periods. Also, the remote sensed indices can be used as drought impact indicator to evaluate the skill of seasonal agricultural drought forecasting systems. InfoSequia is partly funded by the Spanish Ministry of Economy and Competiveness through a Torres-Quevedo grant.

  3. Detection of Shoreline and Land Cover Changes around Rosetta Promontory, Egypt, Based on Remote Sensing Analysis

    Directory of Open Access Journals (Sweden)

    Ali Masria

    2015-03-01

    Full Text Available Rosetta Promontory, Egypt has been suffering from a continuous erosion problem. The dramatic retreatment was observed during the last century. It is basically due to the construction of Aswan High Dam in 1964, which reduced the flow and sediment discharges. In this paper, four Landsat images (two Thematic Mapper and two Enhanced Thematic Mapper covering the period from 1984 to 2014 were used. These Landsat images were radio-metrically and geometrically corrected, and then, multi-temporal post-classification analysis was performed to detect land cover changes, extracting shoreline positions to estimate shoreline change rates of the Nile delta coast around Rosetta Promontory. This method provides a viable means for examining long-term shoreline changes. Four categories, including seawater, developed (agriculture and urban, sabkhas (salt-flat, and undeveloped areas, were selected to evaluate their temporal changes by comparing the four selected images. Supervised classification technique was used with support vector machine algorithm to detect temporal changes. The overall accuracy assessment of this method ranged from 97% to 100%. In addition, the shoreline was extracted by applying two different techniques. The first method is based on a histogram threshold of Band 5, and the other uses the combination of histogram threshold of Band 5 and two band ratios (Band 2/Band 4 and Band 2/Band 5. For land cover change detection from 1984 to 2014, it was found that the developed area that increased by 9% although the land in the study area has been contracted by 1.6% due to coastal erosion. The shoreline retreat rate has decreased more than 70% from 1984 to 2014. Nevertheless, it still suffers from significant erosion with a maximum rate of 37 m/year. In comparison to ground survey and different remote sensing techniques, the established trend of shoreline change extracted using histogram threshold was found to be closely consistent with these studies

  4. Change Detection with Multi-Source Defective Remote Sensing Images Based on Evidential Fusion

    Science.gov (United States)

    Chen, Xi; Li, Jing; Zhang, Yunfei; Tao, Liangliang

    2016-06-01

    Remote sensing images with clouds, shadows or stripes are usually considered as defective data which limit their application for change detection. This paper proposes a method to fuse a series of defective images as evidences for change detection. In the proposed method, post-classification comparison process is firstly performed on multi-source defective images. Then, the classification results of all the images, together with their corresponding confusion matrixes are used to calculate the Basic Belief Assignment (BBA) of each pixel. Further, based on the principle of Dempster-Shafer evidence theory, a BBA redistribution process is introduced to deal with the defective parts of multi-source data. At last, evidential fusion and decision making rules are applied on the pixel level, and the final map of change detection can be derived. The proposed method can finish change detection with data fusion and image completion in one integrated process, which makes use of the complementary and redundant information from the input images. The method is applied to a case study of landslide barrier lake formed in Aug. 3rd, 2014, with a series of multispectral images from different sensors of GF-1 satellite. Result shows that the proposed method can not only complete the defective parts of the input images, but also provide better change detection accuracy than post-classification comparison method with single pair of pre- and post-change images. Subsequent analysis indicates that high conflict degree between evidences is the main source of errors in the result. Finally, some possible reasons that result in evidence conflict on the pixel level are analysed.

  5. Multi-Probe Based Artificial DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery

    Directory of Open Access Journals (Sweden)

    Ke Wu

    2016-08-01

    Full Text Available In recent years, a novel matching classification strategy inspired by the artificial deoxyribonucleic acid (DNA technology has been proposed for hyperspectral remote sensing imagery. Such a method can describe brightness and shape information of a spectrum by encoding the spectral curve into a DNA strand, providing a more comprehensive way for spectral similarity comparison. However, it suffers from two problems: data volume is amplified when all of the bands participate in the encoding procedure and full-band comparison degrades the importance of bands carrying key information. In this paper, a new multi-probe based artificial DNA encoding and matching (MADEM method is proposed. In this method, spectral signatures are first transformed into DNA code words with a spectral feature encoding operation. After that, multiple probes for interesting classes are extracted to represent the specific fragments of DNA strands. During the course of spectral matching, the different probes are compared to obtain the similarity of different types of land covers. By computing the absolute vector distance (AVD between different probes of an unclassified spectrum and the typical DNA code words from the database, the class property of each pixel is set as the minimum distance class. The main benefit of this strategy is that the risk of redundant bands can be deeply reduced and critical spectral discrepancies can be enlarged. Two hyperspectral image datasets were tested. Comparing with the other classification methods, the overall accuracy can be improved from 1.22% to 10.09% and 1.19% to 15.87%, respectively. Furthermore, the kappa coefficient can be improved from 2.05% to 15.29% and 1.35% to 19.59%, respectively. This demonstrated that the proposed algorithm outperformed other traditional classification methods.

  6. WPS-based technology for client-side remote sensing data processing

    Science.gov (United States)

    Kazakov, E.; Terekhov, A.; Kapralov, E.; Panidi, E.

    2015-04-01

    Server-side processing is principal for most of the current Web-based geospatial data processing tools. However, in some cases the client-side geoprocessing may be more convenient and acceptable. This study is dedicated to the development of methodology and techniques of Web services elaboration, which allow the client-side geoprocessing also. The practical objectives of the research are focused on the remote sensing data processing, which are one of the most resource-intensive data types. The idea underlying the study is to propose such geoprocessing Web service schema that will be compatible with the current serveroriented Open Geospatial Consortium standard (OGC WPS standard), and additionally will allow to run the processing on the client, transmitting processing tool (executable code) over the network instead of the data. At the same time, the unity of executable code must be preserved, and the transmitted code should be the same to that is used for server-side processing. This unity should provide unconditional identity of the processing results that performed using of any schema. The appropriate services are pointed by the authors as a Hybrid Geoprocessing Web Services (HGWSs). The common approaches to architecture and structure of the HGWSs are proposed at the current stage as like as a number of service prototypes. For the testing of selected approaches, the geoportal prototype was implemented, which provides access to created HGWS. Further works are conducted on the formalization of platform independent HGWSs implementation techniques, and on the approaches to conceptualization of theirs safe use and chaining possibilities. The proposed schema of HGWSs implementation could become one of the possible solutions for the distributed systems, assuming that the processing servers could play the role of the clients connecting to the service supply server. The study was partially supported by Russian Foundation for Basic Research (RFBR), research project No. 13

  7. EVALUATION OF SOIL LOSS IN GUARAÍRA BASIN BY GIS AND REMOTE SENSING BASED MODEL

    Directory of Open Access Journals (Sweden)

    Richarde Marques da Silva

    2007-01-01

    Full Text Available Environmental degradation, and specifically erosion, is a serious and extensive problem in many areas in Brazil. Prediction of runoff and erosion in ungauged basins is one of the most challenging tasks anywhere and it is especially a very difficult one in developing countries where monitoring and continuous measurements of these quantities are carried out in very few basins either due to the costs involved or due to the lack of trained personnel. The erosion processes and land use in the Guaraíra River Experimental Basin, located in Paraíba state, Brazil, are evaluated using remote sensing and a runoff-erosion model. WEPP is a process-based continuous simulation erosion model that can be applied to hillslope profiles and small watersheds. WEPP erosion model have been compared in numerous studies to observed values for soil loss and sediment delivery from cropland plots, forest roads, irrigated lands and small watersheds. A number of different techniques for evaluating WEPP have been used, including one recently developed in which the ability of WEPP to accurately predict soil erosion can be compared to the accuracy of replicated plots to predict soil erosion. WEPP was calibrated with daily rainfall data from five rain gauges for the period of 2003 to 2005. The obtained results showed the susceptible areas to the erosion process within Guaraíra river basin, and that the mean sediment yield could be in the order of 3.0 ton/ha/year (in an area of 5.84 ha.

  8. Distributing File—based Data to Remote sites within the BABAR Collaboration

    Institute of Scientific and Technical Information of China (English)

    TimAdye; AlviseDorigo; 等

    2001-01-01

    BABAR[1] uses two formats for its data:Objectivity database and ROOT[1] files.This poster concerns the distribution of the latter-for Objectivity data see [3].The BABAR analysis data is stored in ROOT files-one per physics run and analysis selection channel-maintained in a large directory tree,Currently BABAR has more than 4.5 TBytes in 200,000 ROOT files.This data is (mostly)produced at SLAC,but is required for analysis at universities and research centres throughout the US and Europe.Two basic problems confront us when we seek to import bulk data from SLAC to an institute's local storage via the network.We must determine which files must be imported (depending on the local site requirements and which files have already been imported),and we must make the optimum use of the network when transferring the data,Basic ftp-like tools(ftp,scp,etc)do not attempt to solve the first problem.More sophisticated tools like rsync[4],the widely-used mirror/synchronisation program,compare local and remote file systems,checking for changes(based on file date,size and,if desired,an elaborate checksum)in order to only copy new or modified files,However rsync allows for only limited file selection.Also when,as in BABAR,an extremely large directory structure must be scanned,rsync can take several hours just to determine which files need to be copied.Although rsync(and scp)provides on -the=fly compression,it does not allow us to optimise the network transfer by using multiple streams,abjusting the TCP window size or separating encrypted authentication from unencrypted data channels.

  9. Forecasting Precipitation over the MENA Region: A Data Mining and Remote Sensing Based Approach

    Science.gov (United States)

    Elkadiri, R.; Sultan, M.; Elbayoumi, T.; Chouinard, K.

    2015-12-01

    We developed and applied an integrated approach to construct predictive tools with lead times of 1 to 12 months to forecast precipitation amounts over the Middle East and North Africa (MENA) region. The following steps were conducted: (1) acquire and analyze temporal remote sensing-based precipitation datasets (i.e. Tropical Rainfall Measuring Mission [TRMM]) over five main water source regions in the MENA area (i.e. Atlas Mountains in Morocco, Southern Sudan, Red Sea Hills of Yemen, and Blue Nile and White Nile source areas) throughout the investigation period (1998 to 2015), (2) acquire and extract monthly values for all of the climatic indices that are likely to influence the climatic patterns over the MENA region (e.g., Northern Atlantic Oscillation [NOI], Southern Oscillation Index [SOI], and Tropical North Atlantic Index [TNA]); and (3) apply data mining methods to extract relationships between the observed precipitation and the controlling factors (climatic indices) and use predictive tools to forecast monthly precipitation over each of the identified pilot study areas. Preliminary results indicate that by using the period from January 1998 until August 2012 for model training and the period from September 2012 to January 2015 for testing, precipitation can be successfully predicted with a three-months lead over South West Yemen, Atlas Mountains in Morocco, Southern Sudan, Blue Nile sources and White Nile sources with confidence (Pearson correlation coefficient: 0.911, 0.823, 0.807, 0.801 and 0.895 respectively). Future work will focus on applying this technique for prediction of precipitation over each of the climatically contiguous areas of the MENA region. If our efforts are successful, our findings will lead the way to the development and implementation of sound water management scenarios for the MENA countries.

  10. Observing wind, aerosol particles, cloud and precipitation: Finland's new ground-based remote-sensing network

    Directory of Open Access Journals (Sweden)

    A. Hirsikko

    2013-08-01

    Full Text Available The Finnish Meteorological Institute, in collaboration with the University of Helsinki, has established a new ground-based remote-sensing network in Finland. The network consists of five topographically, ecologically and climatically different sites distributed from southern to northern Finland. The main goal of the network is to monitor air pollution and boundary layer properties in near real time, with a Doppler lidar and ceilometer at each site. In addition to these operational tasks, two sites are members of the Aerosols, Clouds, and Trace gases Research InfraStructure Network (ACTRIS; a Ka-band Doppler cloud radar at Sodankylä will provide cloud retrievals within CloudNet, and a multi-wavelength Raman lidar, POLLYXT (POrtabLe Lidar sYstem eXTended, in Kuopio provides optical and microphysical aerosol properties through EARLINET (European Aerosol Research Lidar Network to Establish an Aerosol Climatology. Three C-band weather radars are located in the Helsinki metropolitan area and are deployed for operational and research applications. We carried out two inter-comparison campaigns to investigate the Doppler lidar performance. The aims of the campaigns were to compare the backscatter coefficient and retrieved wind profiles, and to optimise the lidar sensitivity through adjusting the telescope focus and data-integration time to ensure enough signals in low-aerosol-content environments. The wind profiles showed good agreement between different lidars. However, due to inaccurate telescope focus setting and varying receiver sensitivity, backscatter coefficient profiles showed disagreement between the lidars. Harsh Finnish winters could pose problems, but, due to the built-in heating systems, low ambient temperatures had no, or only a minor, impact on the lidar operation: including scanning-head motion. However, accumulation of snow and ice on the lens has been observed, which can lead to formation of a water/ice layer thus attenuating the

  11. Spatiotemporal Mining of Time-Series Remote Sensing Images Based on Sequential Pattern Mining

    Science.gov (United States)

    Liu, H. C.; He, G. J.; Zhang, X. M.; Jiang, W.; Ling, S. G.

    2015-07-01

    With the continuous development of satellite techniques, it is now possible to acquire a regular series of images concerning a given geographical zone with both high accuracy and low cost. Research on how best to effectively process huge volumes of observational data obtained on different dates for a specific geographical zone, and to exploit the valuable information regarding land cover contained in these images has received increasing interest from the remote sensing community. In contrast to traditional land cover change measures using pair-wise comparisons that emphasize the compositional or configurational changes between dates, this research focuses on the analysis of the temporal sequence of land cover dynamics, which refers to the succession of land cover types for a given area over more than two observational periods. Using a time series of classified Landsat images, ranging from 2006 to 2011, a sequential pattern mining method was extended to this spatiotemporal context to extract sets of connected pixels sharing similar temporal evolutions. The resultant sequential patterns could be selected (or not) based on the range of support values. These selected patterns were used to explore the spatial compositions and temporal evolutions of land cover change within the study region. Experimental results showed that continuous patterns that represent consistent land cover over time appeared as quite homogeneous zones, which agreed with our domain knowledge. Discontinuous patterns that represent land cover change trajectories were dominated by the transition from vegetation to bare land, especially during 2009-2010. This approach quantified land cover changes in terms of the percentage area affected and mapped the spatial distribution of these changes. Sequential pattern mining has been used for string mining or itemset mining in transactions analysis. The expected novel significance of this study is the generalization of the application of the sequential pattern

  12. Remote Sensing Based Biophysical Characterization of Tropical Deciduous Forest in Central India

    Science.gov (United States)

    Singh, R. P.; Goroshi, S.; Sharma, N. K.; Bairagi, G. D.; Sharma, R.; Jalil, P.; Jain, A.; Sonakia, A.; Parihar, J. S.

    2011-09-01

    The paper reports the measurements of biophysical parameters using field and satellite data over a tropical deciduous forest Kanha National Park (KNP), central India. Field measurement (GBH, LAI, litter, soil moisture) was carried out over ten quadrates of 0.1ha in KNP for characterization of biophysical parameters with specified measurement protocol and sampling. Satellite based remote sensing analysis (LAI, Phenology, and NPP) was carried out using multi date observations of IRS-LISS-III, IMS-1MX, SPOT-VEGETATION and EOS-MODIS instruments. Rank correlation analysis using field data collected in the selected quadrates at KNP showed Sal (Shorea robusta) is dominant forest species followed by Lendia, Jamun (Syzygium cumini), Saja, Harra and Dhawda etc. Field measurement of Sal showed GBH range from 20 cm to 170 cm. Different forest classes such as Sal; Sal mixed with Jamun, Bamboo (Dendrocalamus strictus) etc, including grasslands/scrubland were classified with overall accuracy of 85.56 percent using March, May and October multi spectral data. Sal has distinct growth characteristics (low vegetation growth/ leaf fall in March instead of May) as compared to other vegetation species. As per the Leaf Area Index (LAI) measurement using hemispherical photographs, Sal showed the highest LAI (6.95 m2/m2) during September and lowest LAI (2.63 m2/m2) during March. Overall good agreement (r= 0.79) was found between the LAI generated from LISS-III and MODIS data product. It was observed from SPOT-VEGETATION analysis that NPP varied from 8.4 tC/ha/year (dry deciduous forest) to 14.25 tC/ha/year (Moist deciduous forest) in KNP.

  13. Remote sensing based change analysis of rice environments in Odisha, India.

    Science.gov (United States)

    Gumma, Murali Krishna; Mohanty, Samarendu; Nelson, Andrew; Arnel, Rala; Mohammed, Irshad A; Das, Satya Ranjan

    2015-01-15

    The rainfed rice-growing environment is perhaps one of the most vulnerable to water stress such as drought and floods. It is important to determine the spatial extent of the stress-prone areas to effectively and efficiently promote proper technologies (e.g., stress-tolerant varieties) to tackle the problem of sustainable food production. This study was conducted in Odisha state located in eastern India. Odisha is predominantly a rainfed rice ecosystem (71% rainfed and 29% canal irrigated during kharif-monsoon season), where rice is the major crop and staple food of the people. However, rice productivity in Odisha is one of the lowest in India and a significant decline (9%) in rice cultivated area was observed in 2002 (a drought year). The present study analyzed the temporal rice cropping pattern in various ecosystems and identified the stress-prone areas due to submergence (flooding) and water shortage. The spatial distribution of rice areas was mapped using MODIS (MOD09Q1) 250-m 8-day time-series data (2000-2010) and spectral matching techniques. The mapped rice areas were strongly correlated (R(2) = 90%) with district-level statistics. Also the class accuracy based on field-plot data was 84.8%. The area under the rainfed rice ecosystem continues to dominate, recording the largest share among rice classes across all the years. The use of remote-sensing techniques is rapid, cost-effective, and reliable to monitor changes in rice cultivated area over long periods of time and estimate the reduction in area cultivated due to abiotic stress such as water stress and submergence. Agricultural research institutes and line departments in the government can use these techniques for better planning, regular monitoring of land-use changes, and dissemination of appropriate technologies.

  14. [Remote sensing of chlorophyll fluorescence at airborne level based on unmanned airship platform and hyperspectral sensor].

    Science.gov (United States)

    Yang, Pei-Qi; Liu, Zhi-Gang; Ni, Zhuo-Ya; Wang, Ran; Wang, Qing-Shan

    2013-11-01

    The solar-induced chlorophyll fluorescence (ChlF) has a close relationship with photosynthetic and is considered as a probe of plant photosynthetic activity. In this study, an airborne fluorescence detecting system was constructed by using a hyperspectral imager on board an unmanned airship. Both Fraunhofer Line Discriminator (FLD) and 3FLD used to extract ChlF require the incident solar irradiance, which is always difficult to receive at airborne level. Alternative FLD (aFLD) can overcome the problem by selecting non-fluorescent emitter in the image. However, aFLD is based on the assumption that reflectance is identical around the Fraunhofer line, which is not realistic. A new method, a3FLD, is proposed, which assumes that reflectance varies linearly with the wavelength around Fraunhofer line. The result of simulated data shows that ChlF retrieval error of a3FLD is significantly lower than that of aFLD when vegetation reflectance varies near the Fraunhofer line. The results of hyperspectral remote sensing data with the airborne fluorescence detecting system show that the relative values of retrieved ChlF of 5 kinds of plants extracted by both aFLD and a3FLD are consistent with vegetation growth stage and the ground-level ChlF. The ChlF values of aFLD are about 15% greater than a3FLD. In addition, using aFLD, some non-fluorescent objects have considerable ChlF value, while a3FLD can effectively overcome the problem. PMID:24555390

  15. Assessment of a remote sensing-based model for predicting malaria transmission risk in villages of Chiapas, Mexico

    Science.gov (United States)

    Beck, L. R.; Rodriguez, M. H.; Dister, S. W.; Rodriguez, A. D.; Washino, R. K.; Roberts, D. R.; Spanner, M. A.

    1997-01-01

    A blind test of two remote sensing-based models for predicting adult populations of Anopheles albimanus in villages, an indicator of malaria transmission risk, was conducted in southern Chiapas, Mexico. One model was developed using a discriminant analysis approach, while the other was based on regression analysis. The models were developed in 1992 for an area around Tapachula, Chiapas, using Landsat Thematic Mapper (TM) satellite data and geographic information system functions. Using two remotely sensed landscape elements, the discriminant model was able to successfully distinguish between villages with high and low An. albimanus abundance with an overall accuracy of 90%. To test the predictive capability of the models, multitemporal TM data were used to generate a landscape map of the Huixtla area, northwest of Tapachula, where the models were used to predict risk for 40 villages. The resulting predictions were not disclosed until the end of the test. Independently, An. albimanus abundance data were collected in the 40 randomly selected villages for which the predictions had been made. These data were subsequently used to assess the models' accuracies. The discriminant model accurately predicted 79% of the high-abundance villages and 50% of the low-abundance villages, for an overall accuracy of 70%. The regression model correctly identified seven of the 10 villages with the highest mosquito abundance. This test demonstrated that remote sensing-based models generated for one area can be used successfully in another, comparable area.

  16. dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation.

    Science.gov (United States)

    Chen, Junjie; Long, Ren; Wang, Xiao-Long; Liu, Bin; Chou, Kuo-Chen

    2016-01-01

    Protein remote homology detection is an important task in computational proteomics. Some computational methods have been proposed, which detect remote homology proteins based on different features and algorithms. As noted in previous studies, their predictive results are complementary to each other. Therefore, it is intriguing to explore whether these methods can be combined into one package so as to further enhance the performance power and application convenience. In view of this, we introduced a protein representation called profile-based pseudo protein sequence to extract the evolutionary information from the relevant profiles. Based on the concept of pseudo proteins, a new predictor, called "dRHP-PseRA", was developed by combining four state-of-the-art predictors (PSI-BLAST, HHblits, Hmmer, and Coma) via the rank aggregation approach. Cross-validation tests on a SCOP benchmark dataset have demonstrated that the new predictor has remarkably outperformed any of the existing methods for the same purpose on ROC50 scores. Accordingly, it is anticipated that dRHP-PseRA holds very high potential to become a useful high throughput tool for detecting remote homology proteins. For the convenience of most experimental scientists, a web-server for dRHP-PseRA has been established at http://bioinformatics.hitsz.edu.cn/dRHP-PseRA/. PMID:27581095

  17. Design of remote weather monitor system based on embedded web database

    International Nuclear Information System (INIS)

    The remote weather monitoring system is designed by employing the embedded Web database technology and the S3C2410 microprocessor as the core. The monitoring system can simultaneously monitor the multi-channel sensor signals, and can give a dynamic Web pages display of various types of meteorological information on the remote computer. It gives a elaborated introduction of the construction and application of the Web database under the embedded Linux. Test results show that the client access the Web page via the GPRS or the Internet, acquires data and uses an intuitive graphical way to display the value of various types of meteorological information. (authors)

  18. Bidirectional Wavelength Reconfigurable Module Based on Tunable Fiber Bragg Grating and Remote Pump Amplifier

    Science.gov (United States)

    Yu, Yi-Lin; Liaw, Shien-Kuei; Skaljo, Edvin; Le Minh, Hoa; Ghassemlooy, Zabih

    2014-09-01

    This article presents a novel bidirectional wavelength reconfigurable optical network utilizing a remotely pumped erbium-doped fiber amplifier and tunable fiber Bragg gratings. The system is experimentally demonstrated at a 10-Gb/s per channel over 20-km fiber span that verifies the metro-network range system performance. The achieved power penalty is less than 1 dB when compared to the back-to-back transmission link. An example of practical application where the proposed module is used as an add/drop multiplexer and a remote node in the bidirectional wavelength division multiplexing passive optical network system is described.

  19. A remote condition monitoring system for wind-turbine based DG systems

    Science.gov (United States)

    Ma, X.; Wang, G.; Cross, P.; Zhang, X.

    2012-05-01

    In this paper, a remote condition monitoring system is proposed, which fundamentally consists of real-time monitoring modules on the plant side, a remote support centre and the communications between them. The paper addresses some of the key issues related on the monitoring system, including i) the implementation and configuration of a VPN connection, ii) an effective database system to be able to handle huge amount of monitoring data, and iii) efficient data mining techniques to convert raw data into useful information for plant assessment. The preliminary results have demonstrated that the proposed system is practically feasible and can be deployed to monitor the emerging new energy generation systems.

  20. Vegetation water stress monitoring with remote sensing-based energy balance modelling

    Science.gov (United States)

    González-Dugo, Maria P.; Andreu, Ana; Carpintero, Elisabet; Gómez-Giráldez, Pedro; José Polo, María

    2014-05-01

    Drought is one of the major hazards faced by agroforestry systems in southern Europe, and an increase in frequency is predicted under the conditions of climate change for the region. Timely and accurate monitoring of vegetation water stress using remote sensing time series may assist early-warning services, helping to assess drought impacts and the design of management actions leading to reduce the economic and environmental vulnerability of these systems. A holm oak savanna, known as dehesa in Spain and montado in Portugal, is an agro-silvo-pastoral system occupying more than 3 million hectares the Iberian Peninsula and Greece. It consists of widely-spaced oak trees (mostly Quercus ilex L.), combined with crops, pasture and Mediterranean shrubs, and it is considered an example of sustainable land use, with great importance in the rural economy. Soil water dynamics is known to have a central role in current tree decline and the reduction of the forested area that is threatening its conservation. A two-source thermal-based evapotranspiration model (TSEB) has been applied to monitor the effect on vegetation water use of soil moisture stress in a dehesa located in southern Spain. The TSEB model separates the soil and canopy contributions to the radiative temperature and to the exchange of surface energy fluxes, so it is especially suited for partially vegetated landscapes. The integration of remotely sensed data in this model may support an evaluation of the whole ecosystem state at a large scale. During two consecutive summers, in 2012 and 2013, time series of optical and thermal MODIS images, with 250m and 1 km of spatial resolution respectively, have been combined with meteorological data provided by a ground station to monitor the evapotranspiration (ET) of the system. An eddy covariance tower (38°12' N; 4°17' W, 736 m a.s.l), equipped with instruments to measure all the components of the energy balance and 1 km of homogeneous fetch in the predominant wind

  1. a Kernel Method Based on Topic Model for Very High Spatial Resolution (vhsr) Remote Sensing Image Classification

    Science.gov (United States)

    Wu, Linmei; Shen, Li; Li, Zhipeng

    2016-06-01

    A kernel-based method for very high spatial resolution remote sensing image classification is proposed in this article. The new kernel method is based on spectral-spatial information and structure information as well, which is acquired from topic model, Latent Dirichlet Allocation model. The final kernel function is defined as K = u1Kspec + u2Kspat + u3Kstru, in which Kspec, Kspat, Kstru are radial basis function (RBF) and u1 + u2 + u3 = 1. In the experiment, comparison with three other kernel methods, including the spectral-based, the spectral- and spatial-based and the spectral- and structure-based method, is provided for a panchromatic QuickBird image of a suburban area with a size of 900 × 900 pixels and spatial resolution of 0.6 m. The result shows that the overall accuracy of the spectral- and structure-based kernel method is 80 %, which is higher than the spectral-based kernel method, as well as the spectral- and spatial-based which accuracy respectively is 67 % and 74 %. What's more, the accuracy of the proposed composite kernel method that jointly uses the spectral, spatial, and structure information is highest among the four methods which is increased to 83 %. On the other hand, the result of the experiment also verifies the validity of the expression of structure information about the remote sensing image.

  2. Comparing the cloud vertical structure derived from several methods based on radiosonde profiles and ground-based remote sensing measurements

    Science.gov (United States)

    Costa-Surós, M.; Calbó, J.; González, J. A.; Long, C. N.

    2014-08-01

    The cloud vertical distribution and especially the cloud base height, which is linked to cloud type, are important characteristics in order to describe the impact of clouds on climate. In this work, several methods for estimating the cloud vertical structure (CVS) based on atmospheric sounding profiles are compared, considering the number and position of cloud layers, with a ground-based system that is taken as a reference: the Active Remote Sensing of Clouds (ARSCL). All methods establish some conditions on the relative humidity, and differ in the use of other variables, the thresholds applied, or the vertical resolution of the profile. In this study, these methods are applied to 193 radiosonde profiles acquired at the Atmospheric Radiation Measurement (ARM) Southern Great Plains site during all seasons of the year 2009 and endorsed by Geostationary Operational Environmental Satellite (GOES) images, to confirm that the cloudiness conditions are homogeneous enough across their trajectory. The perfect agreement (i.e., when the whole CVS is estimated correctly) for the methods ranges between 26 and 64%; the methods show additional approximate agreement (i.e., when at least one cloud layer is assessed correctly) from 15 to 41%. Further tests and improvements are applied to one of these methods. In addition, we attempt to make this method suitable for low-resolution vertical profiles, like those from the outputs of reanalysis methods or from the World Meteorological Organization's (WMO) Global Telecommunication System. The perfect agreement, even when using low-resolution profiles, can be improved by up to 67% (plus 25% of the approximate agreement) if the thresholds for a moist layer to become a cloud layer are modified to minimize false negatives with the current data set, thus improving overall agreement.

  3. A Pilot Study of the Effectiveness of Augmented Reality to Enhance the Use of Remote Labs in Electrical Engineering Education

    Science.gov (United States)

    Mejías Borrero, A.; Andújar Márquez, J. M.

    2012-10-01

    Lab practices are an essential part of teaching in Engineering. However, traditional laboratory lessons developed in classroom labs (CL) must be adapted to teaching and learning strategies that go far beyond the common concept of e-learning, in the sense that completely virtualized distance education disconnects teachers and students from the real world, which can generate specific problems in laboratory classes. Current proposals of virtual labs (VL) and remote labs (RL) do not either cover new needs properly or contribute remarkable improvement to traditional labs—except that they favor distance training. Therefore, online teaching and learning in lab practices demand a further step beyond current VL and RL. This paper poses a new reality and new teaching/learning concepts in the field of lab practices in engineering. The developed augmented reality-based lab system (augmented remote lab, ARL) enables teachers and students to work remotely (Internet/intranet) in current CL, including virtual elements which interact with real ones. An educational experience was conducted to assess the developed ARL with the participation of a group of 10 teachers and another group of 20 students. Both groups have completed lab practices of the contents in the subjects Digital Systems and Robotics and Industrial Automation, which belong to the second year of the new degree in Electronic Engineering (adapted to the European Space for Higher Education). The labs were carried out by means of three different possibilities: CL, VL and ARL. After completion, both groups were asked to fill in some questionnaires aimed at measuring the improvement contributed by ARL relative to CL and VL. Except in some specific questions, the opinion of teachers and students was rather similar and positive regarding the use and possibilities of ARL. Although the results are still preliminary and need further study, seems to conclude that ARL remarkably improves the possibilities of current VL and RL

  4. Single-source surface energy balance algorithms to estimate evapotranspiration from satellite-based remotely sensed data

    Science.gov (United States)

    Bhattarai, Nishan

    The flow of water and energy fluxes at the Earth's surface and within the climate system is difficult to quantify. Recent advances in remote sensing technologies have provided scientists with a useful means to improve characterization of these complex processes. However, many challenges remain that limit our ability to optimize remote sensing data in determining evapotranspiration (ET) and energy fluxes. For example, periodic cloud cover limits the operational use of remotely sensed data from passive sensors in monitoring seasonal fluxes. Additionally, there are many remote sensing-based single-source surface energy balance (SEB) models, but no clear guidance on which one to use in a particular application. Two widely used models---surface energy balance algorithm for land (SEBAL) and mapping ET at high resolution with internalized calibration (METRIC)---need substantial human-intervention that limits their applicability in broad-scale studies. This dissertation addressed some of these challenges by proposing novel ways to optimize available resources within the SEB-based ET modeling framework. A simple regression-based Landsat-Moderate Resolution Imaging Spectroradiometer (MODIS) fusion model was developed to integrate Landsat spatial and MODIS temporal characteristics in calculating ET. The fusion model produced reliable estimates of seasonal ET at moderate spatial resolution while mitigating the impact that cloud cover can have on image availability. The dissertation also evaluated five commonly used remote sensing-based single-source SEB models and found the surface energy balance system (SEBS) may be the best overall model for use in humid subtropical climates. The study also determined that model accuracy varies with land cover type, for example, all models worked well for wet marsh conditions, but the SEBAL and simplified surface energy balance index (S-SEBI) models worked better than the alternatives for grass cover. A new automated approach based on

  5. Photogeology: Part W: Apollo 16 landing site: summary of Earth-based remote sensing data

    Science.gov (United States)

    Zisk, S.H.; Masursky, Harold; Milton, D.J.; Schaber, G.G.; Shorthill, R.W.; Thompson, T.W.

    1972-01-01

    The purpose of the infrared (IR) and radar study of the Apollo data is to establish lunar surface conditions in the vicinity of the orbital tracks of the Apollo command modules during the J-series missions. Correlations and comparisons between the Earth-based radar observations, IR observations, and other data will be plotted on photomaps produced from the mapping and panoramic cameras. In addition, the Apollo photography will be used to improve the classifications of the anomalous IR and radar features. The three sets of Earth-based data have already been obtained. The IR (11 μm) data (ref. 29-112) were obtained during a total lunar eclipse. More than a thousand thermally anomalous regions with an unusually high population of exposed boulders have been identified (ref. 29-113). The 70-cm radar backscatter observations made at the same resolution as the IR measurements show regions of anomalous backscatter. These regions have been explained as roughness caused by the boulders on the surface and below the surface. The high-resolution 3.8-cm radar backscatter measurements (ref. 29-114) reveal in great detail regions of anomalous radar backscatter. At this short radar wavelength, small-scale surface and subsurface roughness and boulders less than the order of 10 cm are responsible for the anomalous returns. Previous studies have revealed strong correlation between these three data sets (refs. 29-115 to 29-117). The strongest anomalies (anomalous at all three wavelengths) correspond to features interpreted geologically as young Copernican craters. There are, however, many combinations of enhancements from IR only, 70-cm radar only, 3.8-cm radar only, or combinations of two of these types but not a third. The variation of intensity in all combinations indicates a very complex set of features. These data provide information about the surface on a centimeter- and meter-sized scale although the basic instrumental resolution was 2 to 15 km. The Apollo orbital photography

  6. Annual South American forest loss estimates based on passive microwave remote sensing (1990–2010

    Directory of Open Access Journals (Sweden)

    M. J. E. van Marle

    2015-07-01

    Full Text Available Consistent forest loss estimates are important to understand the role of forest loss and deforestation in the global carbon cycle, for biodiversity studies, and to estimate the mitigation potential of reducing deforestation. To date, most studies have relied on optical satellite data and new efforts have greatly improved our quantitative knowledge on forest dynamics. However, most of these studies yield results for only a relatively short time period or are limited to certain countries. We have quantified large-scale forest losses over a 21 year period (1990–2010 in the tropical biomes of South America using remotely sensed vegetation optical depth (VOD. This passive microwave satellite-based indicator of vegetation water content and vegetation density has a much coarser spatial resolution than optical but its temporal resolution is higher and VOD is not impacted by aerosols and cloud cover. We used the merged VOD product of the Advanced Microwave Scanning Radiometer (AMSR-E and Special Sensor Microwave Imager (SSM/I observations, and developed a change detection algorithm to quantify spatial and temporal variations in forest loss dynamics. Our results compared favorably to the newly developed Global Forest Change (GFC maps based on Landsat data and available for the 2001 onwards period (r2 = 0.90 when comparing annual country-level estimates, which allowed us to convert our results to forest loss area and compute these from 1990 onwards. We found that South American forest exhibited substantial interannual variability without a clear trend during the 1990s, but increased from 2000 until 2004. After 2004, forest loss decreased again, except for two smaller peaks in 2007 and 2010. For a large part, these trends were driven by changes in Brazil, which was responsible for 56 % of the total South American forest loss over our study period according to our results. One of the key findings of our study is that while forest losses decreased in Brazil

  7. Annual South American forest loss estimates based on passive microwave remote sensing (1990-2010)

    Science.gov (United States)

    van Marle, M. J. E.; van der Werf, G. R.; de Jeu, R. A. M.; Liu, Y. Y.

    2016-02-01

    Consistent forest loss estimates are important to understand the role of forest loss and deforestation in the global carbon cycle, for biodiversity studies, and to estimate the mitigation potential of reducing deforestation. To date, most studies have relied on optical satellite data and new efforts have greatly improved our quantitative knowledge on forest dynamics. However, most of these studies yield results for only a relatively short time period or are limited to certain countries. We have quantified large-scale forest loss over a 21-year period (1990-2010) in the tropical biomes of South America using remotely sensed vegetation optical depth (VOD). This passive microwave satellite-based indicator of vegetation water content and vegetation density has a much coarser spatial resolution than optical data but its temporal resolution is higher and VOD is not impacted by aerosols and cloud cover. We used the merged VOD product of the Advanced Microwave Scanning Radiometer (AMSR-E) and Special Sensor Microwave Imager (SSM/I) observations, and developed a change detection algorithm to quantify spatial and temporal variations in forest loss dynamics. Our results compared reasonably well with the newly developed Landsat-based Global Forest Change (GFC) maps, available for the 2001 onwards period (r2 = 0.90 when comparing annual country-level estimates). This allowed us to convert our identified changes in VOD to forest loss area and compute these from 1990 onwards. We also compared these calibrated results to PRODES (r2 = 0.60 when comparing annual state-level estimates). We found that South American forest exhibited substantial interannual variability without a clear trend during the 1990s, but increased from 2000 until 2004. After 2004, forest loss decreased again, except for two smaller peaks in 2007 and 2010. For a large part, these trends were driven by changes in Brazil, which was responsible for 56 % of the total South American forest loss area over our study

  8. Gsm Based Embedded System for Remote Laboratory Safety Monitoring and Alerting

    Directory of Open Access Journals (Sweden)

    V.Ramya

    2012-12-01

    Full Text Available This paper aims to modify an existing safety and security model for the environment of educationalinstitutions and in home. The aim of this project is to design an embedded system for remote monitoringof the laboratory environment. Nowadays remote monitoring the laboratory and its building is necessaryfor safety and security purpose, which also help us to know the environmental status of the laboratory.The environmental parameters inside the laboratory, such as presence of alcohol, gas and fire can bedetected using respective sensors and the sensed data are then transferred to the microcontroller. Themicrocontroller takes the control action of activating an alarm whenever the presence of theseparameters is found. In turn, the Voice alarm and alert message as SMS through GSM are also sent tothe remote area. The advantage of this automated detection and alarm system is that, it offers fasterresponse time and accurate detection during an emergency. Our experimental results show that, thesystem provides safe and secure remote monitoring of the environment in laboratories and it has highreliability and easy to implement a system like this wherever needed.

  9. Information Extraction of High Resolution Remote Sensing Images Based on the Calculation of Optimal Segmentation Parameters.

    Science.gov (United States)

    Zhu, Hongchun; Cai, Lijie; Liu, Haiying; Huang, Wei

    2016-01-01

    Multi-scale image segmentation and the selection of optimal segmentation parameters are the key processes in the object-oriented information extraction of high-resolution remote sensing images. The accuracy of remote sensing special subject information depends on this extraction. On the basis of WorldView-2 high-resolution data, the optimal segmentation parameters methodof object-oriented image segmentation and high-resolution image information extraction, the following processes were conducted in this study. Firstly, the best combination of the bands and weights was determined for the information extraction of high-resolution remote sensing image. An improved weighted mean-variance method was proposed andused to calculatethe optimal segmentation scale. Thereafter, the best shape factor parameter and compact factor parameters were computed with the use of the control variables and the combination of the heterogeneity and homogeneity indexes. Different types of image segmentation parameters were obtained according to the surface features. The high-resolution remote sensing images were multi-scale segmented with the optimal segmentation parameters. Ahierarchical network structure was established by setting the information extraction rules to achieve object-oriented information extraction. This study presents an effective and practical method that can explain expert input judgment by reproducible quantitative measurements. Furthermore the results of this procedure may be incorporated into a classification scheme.

  10. Cloud removal of remote sensing image based on multi-output suppor t vector regression

    Institute of Scientific and Technical Information of China (English)

    Gensheng Hu; Xiaoqi Sun; Dong Liang; Yingying Sun

    2014-01-01

    Removal of cloud cover on the satel ite remote sens-ing image can effectively improve the availability of remote sensing images. For thin cloud cover, support vector value contourlet trans-form is used to achieve multi-scale decomposition of the area of thin cloud cover on remote sensing images. Through enhancing coefficients of high frequency and suppressing coefficients of low frequency, the thin cloud is removed. For thick cloud cover, if the areas of thick cloud cover on multi-source or multi-temporal remote sensing images do not overlap, the multi-output support vector regression learning method is used to remove this kind of thick clouds. If the thick cloud cover areas overlap, by using the multi-output learning of the surrounding areas to predict the sur-face features of the overlapped thick cloud cover areas, this kind of thick cloud is removed. Experimental results show that the pro-posed cloud removal method can effectively solve the problems of the cloud overlapping and radiation difference among multi-source images. The cloud removal image is clear and smooth.

  11. New generation detector for monitoring using remote-controlled ground-based and airborne systems

    International Nuclear Information System (INIS)

    A new generation detector for monitoring with the use of remote-controlled ground (UAG, robotic rovers) or aircraft (UAV, drones) means was developed and tested within a security project. The main characteristics of the detector and the results of field tests with the detector placed on unmanned aerial means (drones) are described. (orig.)

  12. Design Intranet Search Engine Database%企业内网搜索引擎数据库的设计

    Institute of Scientific and Technical Information of China (English)

    杨桃; 陈婷婷; 范云琳; 刘兴强; 闫自金; 宋绍云

    2014-01-01

    Database design is the core of the enterprise network search engine, database design, rational, scientific and efficient performance throughout the search engines play a key role. Explicitly requested intranet search engine database and analyze the structure of the enterprise network databases, database applications are given in the search engines.%数据库设计是企业内网搜索引擎的核心,数据库设计的合理性,科学性及高效性对整个搜索引擎的性能起到关键的作用。明确企业内网搜索引擎数据库的要求,并分析企业内网数据库的结构,给出数据库在搜索引擎中的应用。

  13. VHR image region-based classification potential in the framework of the control with remote sensing of the European CAP

    Science.gov (United States)

    Carleer, Alexandre P.; Wolff, Eléonore

    2005-10-01

    In the framework of the European CAP (Common Agricultural Policy), the European Commission imposes on member states to prevent irregularities, and recommends the control with remote sensing (CwRS) of the declared crops and declared area of crop fields. In the framework of remote sensing procedure, the European Commission, by the way of his Joint Research Centre, advises the use of very high spatial resolution (VHR) satellite data. These data are extraordinary from the point of view of the spatial resolution but the use of these kinds of data involves some problems in the traditional per-pixel classification like the salt and pepper effect and the poor spectral resolution of the VHR data. The region-based classification could solve these problems and allows the use of other features on top of spectral features in the classification process. This study present the potential of the VHR data region-based classification to the classification of the agricultural and rural land cover in the framework of the remote sensing control of the European Union CAP.

  14. 基于GPRS的远程控制技术开发%Development of Remote Control Technology Based On GPRS

    Institute of Scientific and Technical Information of China (English)

    关成斌; 王捷; 邢福成; 孙盛坤

    2011-01-01

    In this paper, with the advantage of data transmission by GPRS, remote control technology was studied based on GPRS, and was used on a self-made car. The experiment results showed that the remote control technology based on GPRS had many advantages, such as real-time, good stability and economy. At last, remote control technology by general communication used on military field was proposed.%分析了采用GPRS进行数据传输的特点和优势,研究了基于GPRS的远程控制技术,并在一个自制的小车上通过了试验.通过试验验证了采用GPRS技术进行远程控制较采用短消息的方法具有实时性高、稳定性好、经济性好的优势.最后,对采用通用通信技术的远程控制技术在军事上的应用进行了展望.

  15. Construction of Microblog System of Hospital Intranet%医院内网微博系统建设

    Institute of Scientific and Technical Information of China (English)

    赵艳阳

    2013-01-01

    Objective: Currently, microblog is developing rapidly. It is worth trying to take advantage of the characteristics and advantages of microblog to promote internal learning and communication of hospital. Method: Hospital intranet microblog system's advantages and disadvantages are analyzed. The specific settings of architecture and system are used to describe construction of microblog system of hospital Intranet. Results: As an effective supplement to office automation in the hospital, it can promote study and communication among employees, and alleviate occupational stress. Conclusion: The construction and utilization of microblog in hospital strengthens the interaction among employees, effectively improves the humanistic environment of hospital and enriches the connotation construction of hospital culture.%  目的:目前微博发展神速,利用微博的特点和优势促进医院内部的学习和交流,是值得尝试的一个创新。方法:分析了医院内网微博系统的优、劣势,利用架构和系统具体设置阐述了医院内网微博系统建设。结果:作为院内办公自动化的有效补充,促进职工之间的学习交流,缓解职业心理压力。结论:院内微博的建设和使用加强了职工之间的互动,有效改善了医院的人文环境,丰富了医院文化的内涵建设。

  16. Efficient crop type mapping based on remote sensing in the Central Valley, California

    Science.gov (United States)

    Zhong, Liheng

    Most agricultural systems in California's Central Valley are purposely flexible and intentionally designed to meet the demands of dynamic markets. Agricultural land use is also impacted by climate change and urban development. As a result, crops change annually and semiannually, which makes estimating agricultural water use difficult, especially given the existing method by which agricultural land use is identified and mapped. A minor portion of agricultural land is surveyed annually for land-use type, and every 5 to 8 years the entire valley is completely evaluated. So far no effort has been made to effectively and efficiently identify specific crop types on an annual basis in this area. The potential of satellite imagery to map agricultural land cover and estimate water usage in the Central Valley is explored. Efforts are made to minimize the cost and reduce the time of production during the mapping process. The land use change analysis shows that a remote sensing based mapping method is the only means to map the frequent change of major crop types. The traditional maximum likelihood classification approach is first utilized to map crop types to test the classification capacity of existing algorithms. High accuracy is achieved with sufficient ground truth data for training, and crop maps of moderate quality can be timely produced to facilitate a near-real-time water use estimate. However, the large set of ground truth data required by this method results in high costs in data collection. It is difficult to reduce the cost because a trained classification algorithm is not transferable between different years or different regions. A phenology based classification (PBC) approach is developed which extracts phenological metrics from annual vegetation index profiles and identifies crop types based on these metrics using decision trees. According to the comparison with traditional maximum likelihood classification, this phenology-based approach shows great advantages

  17. A Mars Analog for Wet-Based Glacial Alteration of Volcanic Terrains: Thermal Infrared Remote Sensing at Three Sisters, Oregon, U.S.A.

    Science.gov (United States)

    Rutledge, A. M.; Scudder, N. A.; Horgan, B.; Rampe, E. B.

    2016-09-01

    This study characterizes wet-based glacial weathering products at a volcanic Mars analog site using thermal infrared remote sensing. Decorrelation stretches are used to examine the geographic relationships between compositional units.

  18. 一种交通视频专网故障定位方法%Traffic video intranet fault location method

    Institute of Scientific and Technical Information of China (English)

    李建; 盛希冬; 陈启美

    2016-01-01

    Considering the difficulty of fault location in the complex and heterogeneous network,using agent technology and analyzing video network quality of service (QoS),this paper proposed a network fault location algorithm based on improved codebook correlation model.The algorithm used a video QoS threshold for fault event detection,introduced a time parameter to establish an intranet fault codebook that had three dimension parameters,and achieved evaluation of video monitoring quality and network fault fast positioning.The experimental results show that this algorithm not only can realize the detection of fault events,but also improves accuracy and efficiency than the original method.%针对复杂异构网络环境中故障定位难的问题,采用代理技术,分析视频专网服务质量(QoS),提出了一种基于改进代码书的网络故障定位算法。该算法采用视频QoS阈值进行故障事件检测,引入时间参数,建立具有三个维度参数的专网故障代码书,实现了视频监控质量评估与网络故障的快速定位。实验结果表明,该算法可实现故障事件实例检测,准确率比原有方法有较大提升,是一种有效的故障定位方法。

  19. Remote Research

    CERN Document Server

    Tulathimutte, Tony

    2011-01-01

    Remote studies allow you to recruit subjects quickly, cheaply, and immediately, and give you the opportunity to observe users as they behave naturally in their own environment. In Remote Research, Nate Bolt and Tony Tulathimutte teach you how to design and conduct remote research studies, top to bottom, with little more than a phone and a laptop.

  20. River Water Quality Model Based on Remote Sensing Information Methods--A Case Study of Lijing River in Guilin City

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    River water quality models based on remote sensing information models are superior to pure water quality models because they combine the inevitability and risk of geographical phenomena and can take complex geographical characteristics into account. A water quality model for forecasting COD has been established with remote sensing information modeling methods by monitoring and analyzing water quantity and water quality of the Lijing River reach which flows through a complicated Karst mountain area. This model provides a good tool to predict water quality of complex rivers. It is validated by simulating contaminant concentrations of the study area. The results show that remote sensing information models are suitable for complex geography. It is not only a combined model of inevitability and risk of the geographical phenomena, but also a semi-theoretical and semi-empirical formula, providing a good tool to study organic contaminants in complicated rivers. The coefficients and indices obtained have limited value and the model is not suitable for all situations. Some improvements are required.

  1. A smartphone-based colorimetric reader coupled with a remote server for rapid on-site catechols analysis.

    Science.gov (United States)

    Wang, Yun; Li, Yuanyuan; Bao, Xu; Han, Juan; Xia, Jinchen; Tian, Xiaoyu; Ni, Liang

    2016-11-01

    The search of a practical method to analyze cis-diol-containing compounds outside laboratory settings remains a substantial scientific challenge. Herein, a smartphone-based colorimetric reader was coupled with a remote server for rapid on-site analysis of catechols. A smallest-scale 2×2 colorimetric sensor array composed of pH indicators and phenylboronic acid was configured. The array was able to distinguish 13 catechols at 6 serial concentrations, through simultaneous treatment via principal component analysis, hierarchical cluster analysis, and linear discriminant analysis. After both the discriminatory power of the array and the prediction ability of the partial least squares quantitative models were proved to be predominant, the smartphone was coupled to the remote server. All the ΔRGB data were uploaded to the remote server wherein linear discriminant analysis and partial least squares processing modules were established to provide qualitative discrimination and quantitative calculation, respectively, of the analytes in real time. The applicability of this novel method to a real-life scenario was confirmed by the on-site analysis of various catechols from a water sample of the Yangtze River; the feedback result in the smartphone showed the method was able to identify the catechols with 100% accuracy and predict the concentrations to within 0.706-2.240 standard deviation. PMID:27591604

  2. Remote Sensing

    CERN Document Server

    Khorram, Siamak; Koch, Frank H; van der Wiele, Cynthia F

    2012-01-01

    Remote Sensing provides information on how remote sensing relates to the natural resources inventory, management, and monitoring, as well as environmental concerns. It explains the role of this new technology in current global challenges. "Remote Sensing" will discuss remotely sensed data application payloads and platforms, along with the methodologies involving image processing techniques as applied to remotely sensed data. This title provides information on image classification techniques and image registration, data integration, and data fusion techniques. How this technology applies to natural resources and environmental concerns will also be discussed.

  3. Design criteria for a PC-based common user interface to remote information systems

    Science.gov (United States)

    Dominick, Wayne D. (Editor); Hall, Philip P.

    1984-01-01

    A set of design criteria are presented which will allow the implementation of an interface to multiple remote information systems on a microcomputer. The focus of the design description is on providing the user with the functionality required to retrieve, store and manipulate data residing in remote information systems through the utilization of a standardized interface system. The intent is to spare the user from learning the details of retrieval from specific systems while retaining the full capabilities of each system. The system design includes multi-level capabilities to enhance usability by a wide range of users and utilizes microcomputer graphics capabilities where applicable. A data collection subsystem for evaluation purposes is also described.

  4. Remote collaborative pseudo-dynamic testing system based on acquisition board control

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    In this paper,NetSLab network platform for remote collaborative pseudo-dynamic testing,which was developed recently by a research group led by the Hunan University,is presented.Aiming at MTS system which is widely used in structural tesring.the control method with acquisition board Was investigated in this study to realize the communication interface between NetSLab and MTS system,and open up the remote collaborative pseudo-dynamic testing system.Using the developed testing system,a collaborative pseudo-dynamic testing on LAN was carried out successfully.The result manifests that the data transmission and collaborative control can be implemented accurately between NetSLab and MTS system,so that the usability of the testing system is validated.

  5. Field-scale remote sensing of soil moisture based on polarimetric characterization of microwave reflections

    International Nuclear Information System (INIS)

    A field-scale remote soil moisture sensing technique that exploits polarization mode dispersion (PMD) associated with radio frequency (RF) signal propagation is considered in this paper. Microwave polarization responses from rough surface scattering are quantified using a dual-polarized receiver system to estimate PMD responses. Changes in PMD response are elicited by changes in the dielectric properties due to soil moisture changes. The ability of PMD characterizations to remotely detect changes in soil moisture, with responses that exhibit good correlation to ground probe measurements, is demonstrated using a prototype with widely separated transmitter/receiver system deployed at the MATERHORN field experiments conducted at the US Army Dugway Proving Ground, Utah. (paper)

  6. Remote Mobile Health Monitoring System Based on Smart Phone and Browser/Server Structure

    Directory of Open Access Journals (Sweden)

    Yunzhou Zhang

    2015-01-01

    Full Text Available A remote mobile health monitoring system with mobile phone and web service capabilities is proposed in this paper. It provides an end-to-end solution; specifically, (1 physiologic parameters, including respiration rate and heart rate, are measured by wearable sensors and recorded by a mobile phone which presents the graphical interface for the user to observe his/her health status more easily; (2 it provides doctors and family members with necessary data through a web interface and enables authorized personnel to monitor the patient’s condition and to facilitate remote diagnosis; and (3 it supports real-time alarming and positioning services during an urgent situation, such as a tumble or a heart attack, so that unexpected events can be handled in a timely manner. Experimental results show that the proposed system can reliably monitor the physiologic parameters and conveniently report the user’s position.

  7. Recent advances in ground based ultraviolet remote sensing of volcanic SO2 fluxes

    OpenAIRE

    Kantzas, Euripides P.; McGonigle, Andrew J. S.; Giancarlo Tamburello; Alessandro Aiuppa

    2011-01-01

    Measurements of volcanic SO2 emission rates have been the mainstay of remote-sensing volcanic gas geochemistry for almost four decades, and they have contributed significantly to our understanding of volcanic systems and their impact upon the atmosphere. The last ten years have brought step-change improvements in the instrumentation applied to these observations, which began with the application of miniature ultraviolet spectrometers that were deployed in scanning and traverse configurations,...

  8. The remote monitor and control system of power based on COM in HIRFL-CSR

    International Nuclear Information System (INIS)

    The design of power-system in HIRFL-CSR include two parts-design of hardware and software. We use COM module in this system to communicate message from Controlled devices to Front server's database, and communicate between web server and center Oracle database. This system makes the operators control devices remotely. And it also makes the data dealt with easily, saves the cost in realization of system. (authors)

  9. AN ADAPTIVE WEB-BASED LEARNING ENVIRONMENT FOR THE APPLICATION OF REMOTE SENSING IN SCHOOLS

    OpenAIRE

    Wolf, N; Fuchsgruber, V.; Riembauer, G.; Siegmund, A.

    2016-01-01

    Satellite images have great educational potential for teaching on environmental issues and can promote the motivation of young people to enter careers in natural science and technology. Due to the importance and ubiquity of remote sensing in science, industry and the public, the use of satellite imagery has been included into many school curricular in Germany. However, its implementation into school practice is still hesitant, mainly due to lack of teachers’ know-how and education materials t...

  10. Estimation of Mediterranean crops evapotranspiration by means of remote-sensing based models

    OpenAIRE

    M. Minacapilli; Agnese, C.; F. Blanda; C. Cammalleri; Ciraolo, G.; G. D'Urso; Iovino, M.; Pumo, D.; Provenzano, G; G. Rallo

    2009-01-01

    Actual evapotranspiration from typical Mediterranean crops has been assessed in a Sicilian study area by using Surface Energy Balance and Agro-Hydrological models. Both modelling approaches require remotely sensed data to estimate evapotranspiration fluxes in a spatially distributed way. The first approach exploits visible (VIS), near-infrared (NIR) and thermal (TIR) observations to solve the surface energy balance equation. To this end two different schemes have been tested: the two-...

  11. Estimating the Agricultural Water Productivity of the Yellow River Basin Based on Remote Sensing Data

    OpenAIRE

    Wang, Guoqiang; Xue, Baolin; Yu, Jingshan; Otsuki, Kyoichi

    2011-01-01

    Water shortage for agricultural water use is a major problem in the Yellow River basin. This research use NDVI value, meteorological data, supervised classification in remote sensing image and actual statistical data to estimate and verify the wheat and maize distribution and the relevant crop water productivity values in the Yellow River basin. The validation of the method is performed by comparing the results with the distribution of CIESIN statistic data for 1990. To obtain the accurate cr...

  12. Remote Mobile Health Monitoring System Based on Smart Phone and Browser/Server Structure

    OpenAIRE

    Yunzhou Zhang; Huiyu Liu; Xiaolin Su; Pei Jiang; Dongfei Wei

    2015-01-01

    A remote mobile health monitoring system with mobile phone and web service capabilities is proposed in this paper. It provides an end-to-end solution; specifically, (1) physiologic parameters, including respiration rate and heart rate, are measured by wearable sensors and recorded by a mobile phone which presents the graphical interface for the user to observe his/her health status more easily; (2) it provides doctors and family members with necessary data through a web interface and enables ...

  13. Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China

    OpenAIRE

    Shanyu Huang; Yuxin Miao; Guangming Zhao; Fei Yuan; Xiaobo Ma; Chuanxiang Tan; Weifeng Yu; Martin L. Gnyp; Victoria I.S. Lenz-Wiedemann; Uwe Rascher; Georg Bareth

    2015-01-01

    Rice farming in Northeast China is crucially important for China’s food security and sustainable development. A key challenge is how to optimize nitrogen (N) management to ensure high yield production while improving N use efficiency and protecting the environment. Handheld chlorophyll meter (CM) and active crop canopy sensors have been used to improve rice N management in this region. However, these technologies are still time consuming for large-scale applications. Satellite remote sensing ...

  14. Community Based Informatics: Geographical Information Systems, Remote Sensing and Ontology collaboration - A technical hands-on approach

    Science.gov (United States)

    Branch, B. D.; Raskin, R. G.; Rock, B.; Gagnon, M.; Lecompte, M. A.; Hayden, L. B.

    2009-12-01

    With the nation challenged to comply with Executive Order 12906 and its needs to augment the Science, Technology, Engineering and Mathematics (STEM) pipeline, applied focus on geosciences pipelines issue may be at risk. The Geosciences pipeline may require intentional K-12 standard course of study consideration in the form of project based, science based and evidenced based learning. Thus, the K-12 to geosciences to informatics pipeline may benefit from an earth science experience that utilizes a community based “learning by doing” approach. Terms such as Community GIS, Community Remotes Sensing, and Community Based Ontology development are termed Community Informatics. Here, approaches of interdisciplinary work to promote and earth science literacy are affordable, consisting of low cost equipment that renders GIS/remote sensing data processing skills necessary in the workforce. Hence, informal community ontology development may evolve or mature from a local community towards formal scientific community collaboration. Such consideration may become a means to engage educational policy towards earth science paradigms and needs, specifically linking synergy among Math, Computer Science, and Earth Science disciplines.

  15. Baseline studies for monitoring global climatic change in the Arctic environment; A remote sensing-spatial data base approach

    International Nuclear Information System (INIS)

    The US Geological Survey's National Mapping Division has initiated research to establish a long-term monitoring program based on remotely sensed and other digital spatial earth science data bases. Six to eight specific eco-physiographic provinces in Alaska will be identified and studied in support of global climate change research in Arctic regions. A study site in the Colville River delta region has been selected for developing a demonstration/pilot data base, which will serve as a conceptual model for the other eco-physiographic regions yet to be identified. Regional data sets assembled to date include a complete Alaskan coastline digitized from 1:250,000 scale USGS map sheets, a state-wide mosaic of digital elevation model data at 0.5-km resolution, and a digitized version of the physiographic divisions of Alaska. The monitoring program focuses on the compilation and integration of digital spatial data bases for scientific investigations of earth system processes. Research elements associated with the climate change study include the spatial integration of widely varying sources of earth science data and multi-platform, multi-temporal sources of remotely sensed data. Selection of the monitoring sites follow criteria established by the international Geosphere-Biosphere Program and will occur through a series of interagency workshops. The integrated digital spatial data bases for the defined monitoring sites will provide a working tool for researchers to examine global climate change over the past 20 years, as well as provide a basis for future comparative studies

  16. Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection

    Directory of Open Access Journals (Sweden)

    Dujin Liu

    2015-01-01

    Full Text Available As the color remote sensing image has the most notable features such as huge amount of data, rich image details, and the containing of too much noise, the edge detection becomes a grave challenge in processing of remote sensing image data. To explore a possible solution to the urgent problem, in this paper, we first introduced the quaternion into the representation of color image. In this way, a color can be represented and analyzed as a single entity. Then a novel artificial bee colony method named improved artificial bee colony which can improve the performance of conventional artificial bee colony was proposed. In this method, in order to balance the exploration and the exploitation, two new search equations were presented to generate candidate solutions in the employed bee phase and the onlookers phase, respectively. Additionally, some more reasonable artificial bee colony parameters were proposed to improve the performance of the artificial bee colony. Then we applied the proposed method to the quaternion vectors to perform the edge detection of color remote sensing image. Experimental results show that our method can get a better edge detection effect than other methods.

  17. Remote sensing based water quality monitoring in Chivero and Manyame lakes of Zimbabwe

    Science.gov (United States)

    Chawira, M.; Dube, T.; Gumindoga, W.

    Lakes Chivero and Manyame are amongst Zimbabwe’s most polluted inland water bodies. MEdium Resolution Imaging Spectrometry level 1b full resolution imagery for 2011 and 2012 were used to derive chlorophyll-a (chl_a) and phycocyanin (blue-green algae) concentrations using a semi-empirical band ratio model; total suspended matter (TSM) concentrations were derived from the MERIS processor. In-situ measured chl_a was used to validate the remotely sensed values. Results indicate that remote sensing measurements are comparable with in situ measurements. A strong positive correlation (R2 = 0.91; MAE = 2.75 mg/m3 (8.5%)) and p phycocyanin (PC) concentration (R2 = 0.9458; p < 0.01 (highly significant)) whilst chl_a and TSM gave (R2 = 0.7344; p < 0.05 (significant)). Modeled TSM and PC concentrations manifested a good relationship with each other (R2 = 9047; p < 0.001 (very highly significant)). We conclude that remote sensing data allow simultaneous retrieval of different water quality parameters as well as providing near real time and space results that can be used by water managers and policy makers to monitor water bodies.

  18. Interval TYPE-2 Fuzzy Based Neural Network for High Resolution Remote Sensing Image Segmentation

    Science.gov (United States)

    Wang, Chunyan; Xu, Aigong; Li, Chao; Zhao, Xuemei

    2016-06-01

    Recently, high resolution remote sensing image segmentation is a hot issue in image procesing procedures. However, it is a difficult task. The difficulties derive from the uncertainties of pixel segmentation and decision-making model. To this end, we take spatial relationship into consideration when constructing the interval type-2 fuzzy neural networks for high resolution remote sensing image segmentation. First, the proposed algorithm constructs a Gaussian model as a type-1 fuzzy model to describe the uncertainty contained in the image. Second, interval type-2 fuzzy model is obtained by blurring the mean and variance in type-1 model. The proposed interval type-2 model can strengthen the expression of uncertainty and simultaneously decrease the uncertainty in the decision model. Then the fuzzy membership function itself and its upper and lower fuzzy membership functions of the training samples are used as the input of neuron network which acts as the decision model in proposed algorithm. Finally, the relationship of neighbour pixels is taken into consideration and the fuzzy membership functions of the detected pixel and its neighbourhood are used to decide the class of each pixel to get the final segmentation result. The proposed algorithm, FCM and HMRF-FCM algorithm and an interval type-2 fuzzy neuron networks without spatial relationships are performed on synthetic and real high resolution remote sensing images. The qualitative and quantitative analyses demonstrate the efficient of the proposed algorithm, especially for homogeneous regions which contains a great difference in its gray level (for example forest).

  19. Remote sensing and GIS-based prediction and assessment of copper-gold resources in Thailand

    International Nuclear Information System (INIS)

    Quantitative integration of geological information is a frontier and hotspot of prospecting decision research in the world. The forming process of large scale Cu-Au deposits is influenced by complicated geological events and restricted by various geological factors (stratum, structure and alteration). In this paper, using Thailand's copper-gold deposit district as a case study, geological anomaly theory is used along with the typical copper and gold metallogenic model, ETM+ remote sensing images, geological maps and mineral geology database in study area are combined with GIS technique. These techniques create ore-forming information such as geological information (strata, line-ring faults, intrusion), remote sensing information (hydroxyl alteration, iron alteration, linear-ring structure) and the Cu-Au prospect targets. These targets were identified using weights of evidence model. The research results show that the remote sensing and geological data can be combined to quickly predict and assess for exploration of mineral resources in a regional metallogenic belt

  20. Emergency Seismic Damage Assessment of the Ms8.0 Great Wenchuan Earthquake Based on Remote Sensing Imagery

    Institute of Scientific and Technical Information of China (English)

    Wang Xiaoqing; Wang Long; Wang Yan; Ding Xiang; Zhang Feiyu

    2009-01-01

    The fast processing, seismic damage data extraction and loss evaluation from RS imagery acquired immediately after a destructive earthquake occurs, are important means for compen-sating the insufficiency of seismic damage information from ground-based investigations and provide an important basis for emergency command and rescue. The paper introduces the method of emergency seismic damage assessment using remote sensing data and its application to the great Wenchuan earthquake of magnitude 8.0 occurring in southwest Sichuan Province on May 12, 2008. The practical effectiveness of the method is also evaluated in the paper.

  1. History of Alibek Glacier based on Earth remote sensing images, bioindication and cosmogenic isopotes (14С and 10Be

    Directory of Open Access Journals (Sweden)

    I. S. Bushueva

    2015-01-01

    Full Text Available In this article we present the reconstruction of fluctuations of Alibek valley glacier situated in the Teberda valley, Western Caucasus. The former positions of glacier of the past 120 years were reconstructed basing on the old photographs of 1904, 1921, remote sensing data of 1955, 1987, 2007, 2008 and 2012, plans created in 20th century. Since the middle of 20th century Alibek Glacier decreased by 650 m in length and by 0,67 km2 in area and its tongue has risen by 110 m.

  2. Design and implementation of geographic information systems, remote sensing, and global positioning system-based information platform for locust control

    Science.gov (United States)

    Li, Lin; Zhu, Dehai; Ye, Sijing; Yao, Xiaochuang; Li, Jun; Zhang, Nan; Han, Yueqi; Zhang, Long

    2014-01-01

    To monitor and control locusts efficiently, an information platform for locust control based on the global positioning system (GPS), remote sensing (RS), and geographic information systems (GIS) was developed. The platform can provide accurate information about locust occurrence and control strategies for a specific geographic place. The platform consists of three systems based on modern pest control: field ecology (locust occurrence) and GIS in a mobile GPS pad, a processing system for locust information based on GIS and RS, and a WebGIS-based real-time monitoring and controlling system. This platform was run at different geographical locations for three years and facilitated locust control in China with high efficiency and great accuracy.

  3. Building Multi-campus CD Reading Room by Intranet%利用Intranet跨校区构建光盘阅览室

    Institute of Scientific and Technical Information of China (English)

    李伟

    2001-01-01

    To discuss how to build CD reading room by Intranet to link campuses,and how to share and release CD resource on lntranet.Kinds of CD servers are introduced to show that Intranet is an optimal choice for the building of multi-campus CD reading room%对在合校情况下,如何利用Intranet构建连接多校区的光盘阅览室进行阐述和探讨,并介绍了光盘服务器的种类,以及如何在Intranet上共享和发布光盘资源。Intranet技术作为Internet技术的延伸,是构建连接多校区光盘阅览室的理想选择。

  4. Mapping genetic and phylogenetic diversity of a temperate forest using remote sensing based upscaling methods

    Science.gov (United States)

    Escriba, C. G.; Yamasaki, E.; Leiterer, R.; Tedder, A.; Shimizu, K.; Morsdorf, F.; Schaepman, M. E.

    2015-12-01

    Functioning and resilience of forest ecosystems under environmental pressures increases when biodiversity at genetic, species, canopy and ecosystem level is higher. Therefore mapping and monitoring diversity becomes a necessity to assess changes in ecosystems and understanding their consequences. Diversity can be assessed by using different metrics, such as diversity of functional traits or genetic diversity amongst others. In-situ approaches have provided useful, but usually spatially constrained information, often dependent on expert knowledge. We propose using remote sensing in combination with in-situ sampling at different spatial scales. We map phylogenetic and genetic diversity using airborne imaging spectroscopy in combination with terrestrial and airborne laser scanning, as well as exhaustive in-situ sampling schemes. To this end, we propose to link leaf optical properties using a taxonomic approach (spectranomics) to genetic and phylogenetic diversity. The test site is a managed mixed temperate forest on the south-facing slope of Laegern Mountain, Switzerland (47°28'42.0" N, 8°21'51.8" E, 682 m.a.s.l.). The intensive sampling area is roughly 300m x 300m and dominant species are European beech (Fagus sylvatica) and Ash (Fraxinus excelsior). We perform phylogenetic and intraspecific genetic variation analyses for the five most dominant tree species at the test site. For these species, information on functional biochemical and architectural plant traits diversity is retrieved from imaging spectroscopy and laser scanning data and validated with laboratory and in-situ measurements. To assess regional-scale genetic diversity, the phylogenetic and genetic signals are quantified using the remote sensing data, resulting in spatially distributed intra-specific genetic variation. We discuss the usefulness of combined remote sensing and in-situ sampling, to bridge diversity scales from genetic to canopy level.

  5. Mapping bathymetry based on waterlines observed from low altitude Helikite remote sensing platform

    Institute of Scientific and Technical Information of China (English)

    JO Young-Heon; SHA Jin; KWON Jae-Il; JUN Kicheon; PARK Jinku

    2015-01-01

    Mapping shoreline changes along coastal regions is critically important in monitoring continuously rising sea surface heights due to climate change and frequent severe storms. Thus, it is especially important if the region has very high tidal ranges over very gentle tidal flats, which is a very vulnerable region. Although the various remote sensing platforms can be used to map shoreline changes, the spatial and temporal resolutions are not enough to obtain it for a short time. Accordingly, in this study we introduce the newly developed low altitude Helikite remote sensing platform to achieve much better resolutions of shorelines and a bathymetry. The Helikite stands for Helium balloon and Kite, which is a kind of aerial platform that uses the advantages of both a Helium balloon and a kite. Field experiments were conducted in the Jaebu Island, off the coast of the west Korean Peninsula in January 29, 2011. In order to extract shorelines from the consecutive images taken by the low altitude Helikite remote sensing platform, active contours without edges (ACWE) is used. Edges or boundaries exist primarily on places between one type of objective and the other. Since the hydrodynamic pressure has an effect everywhere, the locations of the waterlines can be the isobath lines. We could map several waterlines, which would enable us to complete a local bathymetry map ranges from 35 to 60 cm depth. The error resulting from applying ACWE algorithm to the imagery to determine the waterline is approximately less than 1 m. Therefore, it is very unique way to obtain such high resolutions of bathymetry with high accuracy for the regions of extremely high tidal ranges for a short time.

  6. Estimation of Mediterranean crops evapotranspiration by means of remote-sensing based models

    Directory of Open Access Journals (Sweden)

    M. Minacapilli

    2009-01-01

    Full Text Available Actual evapotranspiration from typical Mediterranean crops has been assessed in a Sicilian study area by using Surface Energy Balance and Agro-Hydrological models. Both modelling approaches require remotely sensed data to estimate evapotranspiration fluxes in a spatially distributed way. The first approach exploits visible (VIS, near-infrared (NIR and thermal (TIR observations to solve the surface energy balance equation. To this end two different schemes have been tested: the two-sources TSEB model, where soil and vegetation components of the surface energy balance are treated separately, and the widely used one-source SEBAL model, where soil and vegetation are considered as a sole source. Actual evapotranspiration estimates by means of the two surface energy balance models have been compared with the results of the Agro-Hydrological model SWAP, applied in a spatially distributed way to simulate one-dimensional water flow in the soil-plant-atmosphere continuum. In this latter model, remote sensing data in the VIS and NIR spectral ranges have been used to infer spatially distributed vegetation parameters needed to set up the upper boundary condition of SWAP. In the comparison presented here, actual evapotranspiration values obtained from the application of the soil water balance model SWAP have been considered as the reference.

    Considering that the study area is characterized by typical Mediterranean sparse vegetation, i.e. olive, citrus and vineyards, we focused the attention on the main conceptual differences between SEBAL and TSEB. Airborne hyperspectral data acquired during a NERC campaign in 2005 have been used. The results of the investigation evidenced that the remote sensing two-sources approach used in TSEB model describes turbulent and radiative surface fluxes in a more realistic way than the one-source approach.

  7. Remote stereoscopic video play platform for naked eyes based on the Android system

    Science.gov (United States)

    Jia, Changxin; Sang, Xinzhu; Liu, Jing; Cheng, Mingsheng

    2014-11-01

    As people's life quality have been improved significantly, the traditional 2D video technology can not meet people's urgent desire for a better video quality, which leads to the rapid development of 3D video technology. Simultaneously people want to watch 3D video in portable devices,. For achieving the above purpose, we set up a remote stereoscopic video play platform. The platform consists of a server and clients. The server is used for transmission of different formats of video and the client is responsible for receiving remote video for the next decoding and pixel restructuring. We utilize and improve Live555 as video transmission server. Live555 is a cross-platform open source project which provides solutions for streaming media such as RTSP protocol and supports transmission of multiple video formats. At the receiving end, we use our laboratory own player. The player for Android, which is with all the basic functions as the ordinary players do and able to play normal 2D video, is the basic structure for redevelopment. Also RTSP is implemented into this structure for telecommunication. In order to achieve stereoscopic display, we need to make pixel rearrangement in this player's decoding part. The decoding part is the local code which JNI interface calls so that we can extract video frames more effectively. The video formats that we process are left and right, up and down and nine grids. In the design and development, a large number of key technologies from Android application development have been employed, including a variety of wireless transmission, pixel restructuring and JNI call. By employing these key technologies, the design plan has been finally completed. After some updates and optimizations, the video player can play remote 3D video well anytime and anywhere and meet people's requirement.

  8. Ground and Space-Based Natural Hazard Remote Sensing of Thermosphere-Ionosphere Perturbations Using Gnss Measuremnents

    Science.gov (United States)

    Yang, Y.; Komjathy, A.; Mannucci, A. J.

    2013-12-01

    Traveling ionospheric disturbances (TIDs) induced by acoustic-gravity waves in the neutral atmosphere have significant impact on trans-ionospheric Global Navigation Satellite System (GNSS) measurements. Natural hazard events, such as earthquakes, tsunamis and volcano eruptions are actual sources that may trigger acoustic and gravity waves resulting in disturbances in the upper atmosphere. GNSS measurements sense the integrated electron content (IEC) along the signal propagation path. Methods from the previous space weather related research may be applied to detect disturbances in IEC time series. In our work, we use wavelet-based detection and a novel estimation technique for remote sensing of atmospheric wave-induced TIDs including space weather phenomenon using dual frequency IEC time series collected form worldwide GNSS networks of ground and space-based GNSS measurements corresponding to major natural hazard events. Through the analysis from the GNSS sounding, we are able to find major wave trains that may be observable in the measurements using ground networks and spaceborne GNSS receivers. The dominant frequencies are seen to be associated with the selected nature hazard events. Furthermore, a comparison of space and ground-based GNSS observations, corresponding model simulations and other geophysical measurements will be shown to get a better understanding of the atmosphere-ionosphere responses due to major natural hazards. We anticipate that observations from GNSS remote sensing of thermosphere-ionosphere disturbances will become cornerstones for future applications in natural hazard monitoring and it is expected to become integral part of existing early-warning systems.

  9. Photoresponsive carbohydrate-based giant surfactants: automatic vertical alignment of nematic liquid crystal for the remote-controllable optical device.

    Science.gov (United States)

    Kim, Dae-Yoon; Lee, Sang-A; Kang, Dong-Gue; Park, Minwook; Choi, Yu-Jin; Jeong, Kwang-Un

    2015-03-25

    Photoresponsive carbohydrate-based giant surfactants (abbreviated as CELAnD-OH) were specifically designed and synthesized for the automatic vertical alignment (VA) layer of nematic (N) liquid crystal (LC), which can be applied for the fabrication of remote-controllable optical devices. Without the conventional polymer-based LC alignment process, a perfect VA layer was automatically constructed by directly adding the 0.1 wt % CELA1D-OH in the N-LC media. The programmed CELA1D-OH giant surfactants in the N-LC media gradually diffused onto the substrates of LC cell and self-assembled to the expanded monolayer structure, which can provide enough empty spaces for N-LC molecules to crawl into the empty zones for the construction of VA layer. On the other hand, the CELA3D-OH giant surfactants forming the condensed monolayer structure on the substrates exhibited a planar alignment (PA) rather than a VA. Upon tuning the wavelength of light, the N-LC alignments were reversibly switched between VA and PA in the remote-controllable LC optical devices. Based on the experimental results, it was realized that understanding the interactions between N-LC molecules and amphiphilic giant surfactants is critical to design the suitable materials for the automatic LC alignment.

  10. Face Recognition Based Door Lock System Using Opencv and C# with Remote Access and Security Features

    Directory of Open Access Journals (Sweden)

    Prathamesh Timse

    2014-04-01

    Full Text Available This paper investigates the accuracy and effectiveness of the face detection and recognition algorithms using OpenCV and C# computer language. The adaboost algorithm [2] is used for face detection and PCA algorithm[1] is used for face recognition. This paper also investigates the robustness of the face recognition system when an unknown person is being detected, wherein the system will send an email to the owner of the system using SMTP [7]. The door lock can also be accessed remotely from any part of the world by using a Dropbox [8] account.

  11. Ground-based and Satellite Remote Sensing of Atmospheric Aerosols and Ultraviolet Solar Radiation

    OpenAIRE

    Muyimbwa, Dennis

    2016-01-01

    Satellite remote sensed data have been used to determine the aerosol climatology and to investigate the influence of the aerosol index (AI) on the ultraviolet (UV) index in coastal land areas in Serrekunda (13.28◦ N, 16.34◦ W, 17 m), The Gambia, and Dar-es- Salaam (6.8◦ S, 39.26◦ E, 24 m), Tanzania, as well as in inland areas in Kampala (0.31◦ N, 32.58◦ E, 1200 m), Uganda. Over three decades of satellite data (1979–1994 and 1996–2012) from total ozone mapping spectrometer (TOMS) and ozone moni...

  12. Remote Manipulator System (RMS)-based Controls-Structures Interaction (CSI) flight experiment feasibility study

    Science.gov (United States)

    Demeo, Martha E.

    1990-01-01

    The feasibility of an experiment which will provide an on-orbit validation of Controls-Structures Interaction (CSI) technology, was investigated. The experiment will demonstrate the on-orbit characterization and flexible-body control of large flexible structure dynamics using the shuttle Remote Manipulator System (RMS) with an attached payload as a test article. By utilizing existing hardware as well as establishing integration, operation and safety algorithms, techniques and procedures, the experiment will minimize the costs and risks of implementing a flight experiment. The experiment will also offer spin-off enhancement to both the Shuttle RMS (SRMS) and the Space Station RMS (SSRMS).

  13. Remote diffuse reflectance spectroscopy sensor for tissue engineering monitoring based on blind signal separation.

    Science.gov (United States)

    Martín-Mateos, Pedro; Crespo-Garcia, Sergio; Ruiz-Llata, Marta; Lopez-Fernandez, José Ramón; Jorcano, José Luis; Del Rio, Marcela; Larcher, Fernando; Acedo, Pablo

    2014-09-01

    In this study the first results on evaluation and assessment of grafted bioengineered skin substitutes using an optical Diffuse Reflectance Spectroscopy (DRS) system with a remote optical probe are shown. The proposed system is able to detect early vascularization of skin substitutes expressing the Vascular Endothelial Growth Factor (VEGF) protein compared to normal grafts, even though devitalized skin is used to protect the grafts. Given the particularities of the biological problem, data analysis is performed using two Blind Signal Separation (BSS) methods: Principal Component Analysis (PCA) and Independent Component Analysis (ICA). These preliminary results are the first step towards point-of-care diagnostics for skin implants early assessment. PMID:25401034

  14. Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote Sensing

    OpenAIRE

    Washington Franca Rocha; Antonio Jorge Vasconcellos Garcia; Daniela Dantas de Menezes Ribeiro

    2011-01-01

    The use of Geographic Information System (GIS) and Remote Sensing for modeling groundwater potential give support for the analysis and decision-making processes about water resource management in watersheds. The objective of this work consisted in modeling the groundwater water potential of Siriri river sub-basin, Sergipe state, based on its natural environment (soil, land use, slope, drainage density, lineament density, rainfall and geology) using Remote Sensing and Geographic Information Sy...

  15. Remote handling at LAMPF

    International Nuclear Information System (INIS)

    Experimental area A at the Clinton P. Anderson Meson Physics Facility (LAMPF) encompasses a large area. Presently there are four experimental target cells along the main proton beam line that have become highly radioactive, thus dictating that all maintenance be performed remotely. The Monitor remote handling system was developed to perform in situ maintenance at any location within area A. Due to the complexity of experimental systems and confined space, conventional remote handling methods based upon hot cell and/or hot bay concepts are not workable. Contrary to conventional remote handling which require special tooling for each specifically planned operation, the Monitor concept is aimed at providing a totally flexible system capable of remotely performing general mechanical and electrical maintenance operations using standard tools. The Monitor system is described

  16. ALIAS an innovative intranet-system for the remaining life analysis of systems and components; ALIAS - ein innovatives Intranet-System zur Restlebensdaueranalyse von Systemen und Bauteilen

    Energy Technology Data Exchange (ETDEWEB)

    Jovanovic, A.S.; Schweikhard, T. [Stuttgart Univ. (Germany). Staatliche Materialpruefungsanstalt; Balos, D. [Stuttgart Univ. (Germany). Staatliche Materialpruefungsanstalt]|[Grosskraftwerk Mannheim AG (Germany)

    1998-11-01

    The paper describes an innovative and advanced system for remaining life assessment of industrial high-temperature components developed at MPA Stuttgart, Germany and being currently introduced into the power plants in Germany and in several other countries. The system is a corporate memory system, essentially meaning that all the information/knowledge of a corporation (company, institute, etc.) should be maximally exploited in future activities of the company, with minimum changes in the existing structure of the data/information/knowledge already available. The system has two main aspects of practical implementation: (a) the organizational one, represented by MPA LifeTech, and (b) the software system one represented by the ``parent systems`` WISDOM and (WISDOM - WWW-based Intelligent System for Data and Documentation Management, ALIAS - The Advanced modular intelligent Life Assessment Software System). (orig.) [Deutsch] Das Papier beschreibt ein innovatives und fortschrittliches Softwaresystem, das an der MPA Stuttgart entwickelt wurde und bei mehreren europaeischen und deutschen Kraftwerksbetreibern eingefuehrt wird. Das Konzept beruht auf der Idee von s.g. corporate memory systems mit der Zielsetzung, die gesamte Bandbreite an Informationen und Wissen eines Unternehmens (Firma, Institution usw.) fuer dessen zukuenftige Aktivitaeten optimal zu nutzen. Die bestehende Struktur der bereits vorhandenen Daten sollte dabei nur geringfuegig geaendert werden muessen. Zur praktischen Durchfuehrung des Konzepts sind zwei Aspekte von Bedeutung: die Organisation (MPA LifeTech) und das Softwaresystem bzw. Systeme WISDOM und ALIAS (WISDOM - WWW-based Intelligent System for Data and Documentation Management, ALIAS - The Advanced modular Intelligent Life Assessment Software System). (orig.)

  17. Remote Control System Base on GSM%基于GSM的远程控制系统

    Institute of Scientific and Technical Information of China (English)

    林承华; 覃青生

    2012-01-01

    Introducing the GSM mobile network as a platform for information transmission, designing a remote control system of home appliances and other electrical equipments depending on SMS.SMS follows the standard AT command set of the CSM, adopts a PDU of supporting Chinese coding way at the same time.This system can display the time and temperature, real - time monitor of temperature and fire alarm, achieve remote simulation control by TC3S module of the CSM.Overcame the restriction of distance, so the system has good practical value and spacious applied prospect.%介绍了以GSM移动网络作为信息传输平台,设计了一个可实现短消息远距离控制家电及其他电器设备的系统.短消息遵循GSM的标准AT指令集,同时采用了支持中文的PDU编码方式.可以显示时间、温度,并能实时监控温度和火灾报警,以及由GSM的TC35模块构成的远程模拟控制.克服了距离的限制,因此具有很好的实用价值和广阔的应用前景.

  18. GSM Web-Based Centralized Remote Wireless Automatic Controlling and Monitoring of Aquafeeder

    Science.gov (United States)

    Wong, C. L.; Idris, A.; Hasan, Z.

    2016-03-01

    This project is about producing a prototype to feed fishes at fish ponds of remote location with the use of GSM mobile phone. An automatic fish feeder is an electric device that has been designed to give out the right amount of pellets at the designed time. In this project, the automatic feeder designed consists of photovoltaic solar cells that are used to generate electricity and storing it into batteries. Solar charge controllers can be used to determine the rate of which current is drawn and added from the batteries. GSM cellular communication is used to allow user to control from a distance. Commands or instructions are sent to the operating system which in return runs the servomotor and blower by blowing certain amount of fish pallets into the pond to feed the fishes. The duration of the feeding processes is fixed by the user, hence the amount of fish food pallets released are precisely the same for each time. This technology is especially useful for fish farmers where they can remotely feed their fishes.

  19. Modeling spatial and temporal change of soil erosion based on multi-temporal remotely sensed data

    Institute of Scientific and Technical Information of China (English)

    Pei Liu; PeiJun Du; RuiMei Han; Chao Ma; YouFeng Zou

    2015-01-01

    In order to monitor the pattern, distribution, and trend of land use/cover change (LUCC) and its impacts on soil erosion, it is highly appropriate to adopt Remote Sensing (RS) data and Geographic Information System (GIS) to analyze, assess, simulate, and predict the spatial and temporal evolution dynamics. In this paper, multi-temporal Landsat TM/ETM+ re-motely sensed data are used to generate land cover maps by image classification, and the Cellular Automata Markov (CA_Markov) model is employed to simulate the evolution and trend of landscape pattern change. Furthermore, the Re-vised Universal Soil Loss Equation (RUSLE) is used to evaluate the situation of soil erosion in the case study mining area. The trend of soil erosion is analyzed according to total/average amount of soil erosion, and the rainfall (R), cover man-agement (C), and support practice (P) factors in RUSLE relevant to soil erosion are determined. The change trends of soil erosion and the relationship between land cover types and soil erosion amount are analyzed. The results demonstrate that the CA_Markov model is suitable to simulate and predict LUCC trends with good efficiency and accuracy, and RUSLE can calculate the total soil erosion effectively. In the study area, there was minimal erosion grade and this is expected to con-tinue to decline in the next few years, according to our prediction results.

  20. Remote sensing the plasmasphere, plasmapause, plumes and other features using ground-based magnetometers

    Directory of Open Access Journals (Sweden)

    Menk Frederick

    2014-01-01

    Full Text Available The plasmapause is a highly dynamic boundary between different magnetospheric particle populations and convection regimes. Some of the most important space weather processes involve wave-particle interactions in this region, but wave properties may also be used to remote sense the plasmasphere and plasmapause, contributing to plasmasphere models. This paper discusses the use of existing ground magnetometer arrays for such remote sensing. Using case studies we illustrate measurement of plasmapause location, shape and movement during storms; refilling of flux tubes within and outside the plasmasphere; storm-time increase in heavy ion concentration near the plasmapause; and detection and mapping of density irregularities near the plasmapause, including drainage plumes, biteouts and bulges. We also use a 2D MHD model of wave propagation through the magnetosphere, incorporating a realistic ionosphere boundary and Alfvén speed profile, to simulate ground array observations of power and cross-phase spectra, hence confirming the signatures of plumes and other density structures.