WorldWideScience

Sample records for based intranet remote

  1. Encryption for Remote Control via Internet or Intranet

    Science.gov (United States)

    Lineberger, Lewis

    2005-01-01

    A data-communication protocol has been devised to enable secure, reliable remote control of processes and equipment via a collision-based network, while using minimal bandwidth and computation. The network could be the Internet or an intranet. Control is made secure by use of both a password and a dynamic key, which is sent transparently to a remote user by the controlled computer (that is, the computer, located at the site of the equipment or process to be controlled, that exerts direct control over the process). The protocol functions in the presence of network latency, overcomes errors caused by missed dynamic keys, and defeats attempts by unauthorized remote users to gain control. The protocol is not suitable for real-time control, but is well suited for applications in which control latencies up to about 0.5 second are acceptable. The encryption scheme involves the use of both a dynamic and a private key, without any additional overhead that would degrade performance. The dynamic key is embedded in the equipment- or process-monitor data packets sent out by the controlled computer: in other words, the dynamic key is a subset of the data in each such data packet. The controlled computer maintains a history of the last 3 to 5 data packets for use in decrypting incoming control commands. In addition, the controlled computer records a private key (password) that is given to the remote computer. The encrypted incoming command is permuted by both the dynamic and private key. A person who records the command data in a given packet for hostile purposes cannot use that packet after the public key expires (typically within 3 seconds). Even a person in possession of an unauthorized copy of the command/remote-display software cannot use that software in the absence of the password. The use of a dynamic key embedded in the outgoing data makes the central-processing unit overhead very small. The use of a National Instruments DataSocket(TradeMark) (or equivalent) protocol or

  2. Design and Implementation of Smart Home Intranet Based on ZigBee

    OpenAIRE

    Yuanxin Lin; Rui Kong; Mingzhong Guan; Rongbin She

    2014-01-01

    The study has design and implementation of smart home intranet based on ZigBee. As the continuous development of Internet of Things (IOT), life intelligent gradually. Therefore, designed of home intranet become the inevitable trend of development. Therefore, the study is going to talk about an Intelligent Monitoring System based on ZigBee which was designed by the author. The system uses a low-power-cost CC 2430 processor as central controller, present a home gateway of wireless access scheme...

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

    Science.gov (United States)

    2010-07-01

    ... internet information and applications. 1194.22 Section 1194.22 Parks, Forests, and Public Property ARCHITECTURAL AND TRANSPORTATION BARRIERS COMPLIANCE BOARD ELECTRONIC AND INFORMATION TECHNOLOGY ACCESSIBILITY STANDARDS Technical Standards § 1194.22 Web-based intranet and internet information and applications. (a)...

  5. Design and Implementation of Smart Home Intranet Based on ZigBee

    Directory of Open Access Journals (Sweden)

    Yuanxin Lin

    2014-03-01

    Full Text Available The study has design and implementation of smart home intranet based on ZigBee. As the continuous development of Internet of Things (IOT, life intelligent gradually. Therefore, designed of home intranet become the inevitable trend of development. Therefore, the study is going to talk about an Intelligent Monitoring System based on ZigBee which was designed by the author. The system uses a low-power-cost CC 2430 processor as central controller, present a home gateway of wireless access scheme base on ZigBee wireless network. The touch screen interface allows the ZigBee technology to achieve wireless monitoring of home device. Such as light, temperature, humidity, fire alarm, curtain, smart socket and so on. At the end of the study it will give out the techniques and implementation of the original system.

  6. Intranet corporativa

    OpenAIRE

    Ferreiro Lavandeira, Martín

    2013-01-01

    El documento consiste en el desarrollo e implementación de una intranet empresarial. Para el desarrollo de la misma se utilizará SharePoint 2013 así como otras herramientas como SharePoint Designer 2013, el cual es un complemento que permitirá realizar modificaciones más complejas.

  7. Virtual integration of multiple-facility PAC systems with ISDN intranet and Web-based DICOM white board

    Science.gov (United States)

    Kim, JongHyo; Kang, Heung Sik; Ro, Duk-Woo; Shin, Myung J.; Kim, Dongsung; Kim, Young H.; Kang, Seok H.

    1999-07-01

    As increasing number of medical facilities are introducing PACS, the needs to interconnect PAC systems are also increased. Although the primary goal of PACS is to enable distribution of radiologic images electronically within hospital and thus assist patient care more efficiently, inter-networking of multiple facility PAC systems can create additional application area and bring about clinical impact. By inter-networking multiple facility PACS, exams can be automatically routed to the remote radiologist when the local radiologist is not available such as during the off- duty hours and vacations. Physicians and radiologists can also benefit from the inter-networking of PACS by making telesconsultation of special cases with remote subspecialty radiologists which can lead to improved diagnostic accuracy and confidence. In this study, we attempted to develop an inter-networking system among the multi-facility PAC systems which can be used for image data transfer and telesconsultation by establishing the ISDN intranet and developing a Web based DICOM white board.

  8. ANDROID BASED REMOTE DESKTOP CLIENT

    Directory of Open Access Journals (Sweden)

    AJIT KOTKAR

    2013-04-01

    Full Text Available Android based remote desktop client is a remote control system which allows you to view and interact with one computer (known as “server” to another computer or cellular phones (Android OS anywhere on the intranet. A viewer is provided on the cellular phone that enables the user to see and manipulate the desktop of remote systems such as MS Windows. The system to be accessed must be running a server and it must be attached to a network. A proxy is used to send the image of the desktop to the cellular phone, to convert different devices, to suppress network traffics, and to support recovery from an unscheduled disconnection. A prototype of the proposed system been implemented using Android and will be tested on a Android Virtual Device emulator. To reduce user effort and solve problems inherent to the cellular phone’s small screen, several functions are provided on the cellular viewer. Virtual Network Computing protocol is used to access Graphical User Interface of remote computer. It is based on the concept of a Remote Frame Buffer or RFB. The system will use Remote method invocation (RMI and screen image capturing techniques of API’s to implement VNC. All functions such mouse clicking, opening files, Playing media can be perform on server computer.

  9. 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.

  10. 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.

  11. Intranets: Just Another Bandwagon?

    Science.gov (United States)

    Lynch, Gary

    1997-01-01

    Discusses intranets--the deployment and use of Internet technologies such as the World Wide Web, electronic mail, and Transmission Control Protocol/Internet Protocol (TCP/IP) on a closed network. Considers the "hype," benefits, standards, implementation, and problems of intranets, and concludes that while intranets can be beneficial, "they should…

  12. A UMLS-based method for integrating information databases into an Intranet.

    OpenAIRE

    Volot, F.; M. Joubert; Fieschi, M.; Fieschi, D.

    1997-01-01

    The Internet and the World Wide Web provide today end-users with capabilities to access universally to information in various and heterogeneous databases. The biomedical domain benefits from this new technology, specially for information retrieval by searching and browsing various sites. Nevertheless, end-users may be disoriented by specific ways to access information on different servers. In the framework of an Intranet design and development, we present a method for integrating information ...

  13. 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.

  14. 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.

  15. 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

  16. 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 ...

  17. The ambiguous challenge of intranets

    DEFF Research Database (Denmark)

    Thommesen, Jacob

    2003-01-01

    ambiguity and interpretation. Based on the ideal of rationality I emphasize the ‘challenges’ of ambiguity, which is inhibitive to rational processes, but also holds a potential for a rational and universalising resolution. In the second chapter I identify the role of ambiguity in organisations. Ambiguity...... 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....

  18. Workshop Intranet 1997

    OpenAIRE

    Ehrig, Matthias

    1997-01-01

    Vortragsfolge: Karsten Priemer: Integration heterogener Applikationsumgebungen in Intranets mit Web - Technologien Swen Gerber: Netzcomputer-Konzepte Sven Graupner: JavaOS - Ein Betriebssystem für Intranets? Patrick Voigt: Netscape Internet Foundation Classes (IFC) Christoph Ziegler: MONARCH - Stand und künftige Aufgaben Holger Trinks: WWW-Robots Frank Richter: ¨Das richtige Mailprogramm¨ Bert Auerbach: Internet-Suchsysteme Frank Richter: Directories - Technologie...

  19. 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

  20. 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...

  1. 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.

  2. Advanced Intranet Search Engine

    OpenAIRE

    Narayan, Nitesh

    2009-01-01

    Information retrieval has been a prevasive part of human society since its existence.With the advent of internet and World wide Web it became an extensive area of researchand major foucs, which lead to development of various search engines to locate the de-sired information, mostly for globally connected computer networks viz. internet.Butthere is another major part of computer network viz. intranet, which has not seen muchof advancement in information retrieval approaches, in spite of being ...

  3. 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.

  4. 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.

  5. 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.

  6. 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...... are based on an analysis of the communicative environment and of end-users' skills and competencies. On the basis of this analysis, the CTL functions are identified, and the conclusion is drawn that multiple lexicographic and non-lexicographic data sources must be integrated and networked to solve the...... lexicographic problem identified. Finally, this paper outlines the theoretical framework of the system, which is based on an integrated database and Internet platform converging a multitude of lexicographic and non-lexicographic data sources....

  7. 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

  8. 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.

  9. Intranet and Knowledge Management: Putting the Cart Before the Horse?

    OpenAIRE

    Satrijo Tanudjojo; Ashley Braganza

    2006-01-01

    This paper explores the use of intranet-technology to support knowledge intensive decision-making in a technical service delivery process of a major oilfield services company. Our findings show that creating, mobilising, and exchanging knowledge through a system which is based on intranet-technology delivers some forms of benefits to both the organisation and its clients, and helps in understanding what organisational knowledge is to be managed and the process of managing it defines the role ...

  10. 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

  11. 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

  12. Intranets: Considerations for the Information Services Manager.

    Science.gov (United States)

    Blackmore, Paul

    1997-01-01

    This article identifies benefits of using Internet technologies in an organization's intranet or internal information system: ease-of-use, one interface, implementation cost, access, information services (flat content and interactive intranets), support desks (via Web services and e-mail), document management. Discusses the impact of intranets on…

  13. 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

  14. 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…

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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)

  20. 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。

  1. Hospital Intranet and Extranet in nuclear medicine

    International Nuclear Information System (INIS)

    Since two years ago nuclear medicine service of Laennec Hospital has implemented transmission and distribution networks of scintigraphic images. A new stage was reached at present by developing an Intranet and Extranet system for nursing units and other services of nuclear medicine. The Intranet link to the services of Laennec Hospital and AP HP is based on a image server connected to the service gamma camera and, after a possible post-processing, the images are transmitted in PCX format by e-mail, attached to the medical record. For communication between nuclear medicine services, a heavier procedure making use of a program for image processing under inter-file standards has been implemented. To achieve the Extranet link with services and physicians of town, exterior to AP HP, a procedure was installed which allows reaching any nursing unit or town physicians having at their disposal e-mail on a secured network. This procedure will be generalized when the Health secured network, linking the medical bodies to Health insurance institutions, will be operational. The interactive tele-medicine will be achieved by means of a procedure based on Internet cooperative tools (wild cards, video- and vision-conferences) which will permits in all situations an interactive work on all the transmitted patient files

  2. 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

  3. SMS BASED REMOTE CONTROL SYSTEM

    Directory of Open Access Journals (Sweden)

    Reecha Ranjan Singh , Sangeeta Agrawal , Saurabh Kapoor ,S. Sharma

    2011-08-01

    Full Text Available A modern world contains varieties of electronic equipment and systems like: TV, security system, Hi-fi equipment, central heating systems, fire alarm systems, security alarm systems, lighting systems, SET Top Box, AC (Air Conditioner etc., we need to handle, ON/OFF or monitor these electrical devices remotely or to communicate with these but, if you are not at the home or that place and you want to communicate with these device. So the new technology for handled these devices remotely and for communication to required the GSM, mobile technology, SMS (short message service and some hardware resources. SMS based remote control for home appliances is beneficial for the human generation, because mobile is most recently used technology nowadays.

  4. Intranets for Learning and Performance Support.

    Science.gov (United States)

    Gilbert, Linda S.

    1998-01-01

    Internal computer networks, or intranets, are a way for organizations to provide learning opportunities and performance support. The value of intranets depends on the quality of resources, the degree to which they are maintained, and ease of use. Users need help in learning to use these resources for optimal benefit. (SK)

  5. Developing an Intranet: Tool Selection and Management Issues.

    Science.gov (United States)

    Chou, David C.

    1998-01-01

    Moving corporate systems onto an intranet will increase the data traffic within the corporate network, which necessitates a high-quality management process to the intranet. Discusses costs and benefits of adopting an intranet, tool availability and selection criteria, and management issues for developing an intranet. (Author/AEF)

  6. Yrityksen intranet-sivuston suunnittelu ja toteutus

    OpenAIRE

    Andersson, Niko

    2014-01-01

    Intranetsivustojen, eli yritysten sisäisten sivustojen suosio on kasvanut yritysten kes-kuudessa ja yhä useammat yritykset tarvitsevat oman intranetin käyttöönsä sen anta-mien hyödyllisten ominaisuuksien takia. Opinnäytetyössä toteutetaan intranet-sivusto Tradentum Oy:lle itse laaditun intranet-strategian pohjalta. Opinnäytetyössä perehdyttiin ensiksi intranetsivustojen teoriaan, jonka jälkeen luotiin oma intranet-strategia sekä toteutettiin intranetsivusto sen pohjalta. Teoriaosuudessa k...

  7. Hospital Intranet and Extranet in nuclear medicine; Intranet et Extranet hospitalier en medecine nucleaire

    Energy Technology Data Exchange (ETDEWEB)

    Gambini, D.J.; Baum, T.P.; Spector, M.; Dumas, F.; Elgard, M.C.; Collington, M.A.; Barritault, L. [Service de Medecine Nucleaire, Hopital Laennec, Paris (France)

    1997-12-31

    Since two years ago nuclear medicine service of Laennec Hospital has implemented transmission and distribution networks of scintigraphic images. A new stage was reached at present by developing an Intranet and Extranet system for nursing units and other services of nuclear medicine. The Intranet link to the services of Laennec Hospital and AP HP is based on a image server connected to the service gamma camera and, after a possible post-processing, the images are transmitted in PCX format by e-mail, attached to the medical record. For communication between nuclear medicine services, a heavier procedure making use of a program for image processing under inter-file standards has been implemented. To achieve the Extranet link with services and physicians of town, exterior to AP HP, a procedure was installed which allows reaching any nursing unit or town physicians having at their disposal e-mail on a secured network. This procedure will be generalized when the Health secured network, linking the medical bodies to Health insurance institutions, will be operational. The interactive tele-medicine will be achieved by means of a procedure based on Internet cooperative tools (wild cards, video- and vision-conferences) which will permits in all situations an interactive work on all the transmitted patient files

  8. User Acceptance of the Intranet in Restaurant Franchise Systems: An Empirical Study

    OpenAIRE

    Park, Kunsoon

    2006-01-01

    This research study examined the acceptance of the intranet in restaurant franchise systems. The widely accepted Technology Acceptance Model (TAM) developed by Davis (1986, 1989) was the basis for this study. TAM is an excellent model to predict information technology (IT) usage and is based on the Theory of Reasoned Action (TRA). Therefore, TAM was adopted in this study of intranet acceptance. Furthermore, this study attempted to see if the earlier results of TAM are still valid. The origina...

  9. Intranet, lihtne vahend infovahetuse parandamiseks / Kristjan Hiiemaa

    Index Scriptorium Estoniae

    Hiiemaa, Kristjan

    2005-01-01

    Intraneti vajalikkusest ettevõttesisese infoliikumise paremaks korraldamiseks. Lisad: Intraneti miinimumkomplekt; Kasutaja meelespea; Intranet toetab ettevõtte tööd mitmete praktiliste funktsioonidega; Üldkasud; Intraneti plussid töötajale; Intraneti plussid juhile

  10. La definición de un modelo estratégico de desarrollo para intranets corporativas en grandes organizaciones. El caso del Ayuntamiento de Madrid

    OpenAIRE

    García de Paso Gómez, Esperanza

    2006-01-01

    A strategic model to develop a corporate Intranet for a large organization based upon Madrid Town Council Intranet is presented. Several approaches to information and content audits were used. The model's main features are: the integration between the Intranet and other municipal information-related projects, its decentralized management, a comprehensive architecture covering all organisational needs, the grouping of contents by category and management approach and, finally, the required upgr...

  11. Java-based browsing, visualization and processing of heterogeneous medical data from remote repositories.

    Science.gov (United States)

    Masseroli, M; Bonacina, S; Pinciroli, F

    2004-01-01

    The actual development of distributed information technologies and Java programming enables employing them also in the medical arena to support the retrieval, integration and evaluation of heterogeneous data and multimodal images in a web browser environment. With this aim, we used them to implement a client-server architecture based on software agents. The client side is a Java applet running in a web browser and providing a friendly medical user interface to browse and visualize different patient and medical test data, integrating them properly. The server side manages secure connections and queries to heterogeneous remote databases and file systems containing patient personal and clinical data. Based on the Java Advanced Imaging API, processing and analysis tools were developed to support the evaluation of remotely retrieved bioimages through the quantification of their features in different regions of interest. The Java platform-independence allows the centralized management of the implemented prototype and its deployment to each site where an intranet or internet connection is available. Giving healthcare providers effective support for comprehensively browsing, visualizing and evaluating medical images and records located in different remote repositories, the developed prototype can represent an important aid in providing more efficient diagnoses and medical treatments. PMID:17270994

  12. 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)

  13. 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

  14. 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

  15. 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.

  16. 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

  17. 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.

  18. 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.

  19. 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

  20. 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.

  1. 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

  2. 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…

  3. Information Technology Diffusion: A Comparative Case Study of Intranet Adoption

    OpenAIRE

    Zolla, George A.

    1999-01-01

    This exploratory study identifies factors that influence the adoption and diffusion of intranet technology. A comparative case study of bipolar organizations is used to identify crucial implementation factors and create an innovation adoption model. A strategic approach for the adoption and diffusion of intranet technology is then presented.

  4. 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.

  5. Organizational and Social Factors in the Adoption of Intranet 2.0: A Case Study

    Science.gov (United States)

    Kim, Bohyun

    2010-01-01

    This article presents a case study of the intranet implementation and adoption process of a SharePoint intranet at a small academic library and investigates why the many Web 2.0 tools of the library intranet are currently underused. Staff interviews showed that common goals for an intranet, such as information dissemination, knowledge sharing,…

  6. 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

  7. 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...

  8. 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.

  9. 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.

  10. A study of intranet implementation for the Republic of China Navy

    OpenAIRE

    Liu, Yi

    1997-01-01

    An intranet is a computer network based on the data communication standards of the World Wide Web. These standards can contribute to enhance communication, collaboration, and information distribution within this organization. The adoption and implementation of this technology by industry has been swift, and broad, a organizations have quickly recognized the benefits to be realized from this technology for new organizational networks. This study presents a review of the Republic of China Navy'...

  11. The role of the Intranet at Lonmin Platinum : the perceptions of middle management / Nicola Theunissen

    OpenAIRE

    Theunissen, Nicola

    2007-01-01

    The rapid changes in the world of online technology during the last two decades brought along new challenges and opportunities for public relations practitioners. Literature has proven that the interactive capabilities of web-based technology have the possibility to build and maintain relationships with stakeholders and create two-way symmetrical communication opportunities. One such technology is an intranet, which could have an immense impact on an organisation's internal com...

  12. 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.

  13. Remote visualization system based on particle based volume rendering

    Science.gov (United States)

    Kawamura, Takuma; Idomura, Yasuhiro; Miyamura, Hiroko; Takemiya, Hiroshi; Sakamoto, Naohisa; Koyamada, Koji

    2015-01-01

    In this paper, we propose a novel remote visualization system based on particle-based volume rendering (PBVR),1 which enables interactive analyses of extreme scale volume data located on remote computing systems. The re- mote PBVR system consists of Server, which generates particles for rendering, and Client, which processes volume rendering, and the particle data size becomes significantly smaller than the original volume data. Depending on network bandwidth, the level of detail of images is flexibly controlled to attain high frame rates. Server is highly parallelized on various parallel platforms with hybrid programing model. The mapping process is accelerated by two orders of magnitudes compared with a single CPU. The structured and unstructured volume data with ~108 cells is processed within a few seconds. Compared with commodity Client/Server visualization tools, the total processing cost is dramatically reduced by using proposed system.

  14. Remote sensing based on hyperspectral data analysis

    Science.gov (United States)

    Sharifahmadian, Ershad

    In remote sensing, accurate identification of far objects, especially concealed objects is difficult. In this study, to improve object detection from a distance, the hyperspecral imaging and wideband technology are employed with the emphasis on wideband radar. As the wideband data includes a broad range of frequencies, it can reveal information about both the surface of the object and its content. Two main contributions are made in this study: 1) Developing concept of return loss for target detection: Unlike typical radar detection methods which uses radar cross section to detect an object, it is possible to enhance the process of detection and identification of concealed targets using the wideband radar based on the electromagnetic characteristics --conductivity, permeability, permittivity, and return loss-- of materials. During the identification process, collected wideband data is evaluated with information from wideband signature library which has already been built. In fact, several classes (e.g. metal, wood, etc.) and subclasses (ex. metals with high conductivity) have been defined based on their electromagnetic characteristics. Materials in a scene are then classified based on these classes. As an example, materials with high electrical conductivity can be conveniently detected. In fact, increasing relative conductivity leads to a reduction in the return loss. Therefore, metals with high conductivity (ex. copper) shows stronger radar reflections compared with metals with low conductivity (ex. stainless steel). Thus, it is possible to appropriately discriminate copper from stainless steel. 2) Target recognition techniques: To detect and identify targets, several techniques have been proposed, in particular the Multi-Spectral Wideband Radar Image (MSWRI) which is able to localize and identify concealed targets. The MSWRI is based on the theory of robust capon beamformer. During identification process, information from wideband signature library is utilized

  15. Remote Laboratory Hardware Modules Based on Networked Embedded Systems

    Directory of Open Access Journals (Sweden)

    Darko Fudurić

    2007-08-01

    Full Text Available Networked embedded microcontrollers integrated into remote laboratory are proposed. Hardware and software architecture responsible for functioning of the laboratory is discussed. Compatibility with existing networks is mandatory, so common TCP/IP stack layer is introduced. Open remote laboratory, based on embedded systems is accessible from anywhere on the Internet.. It is suitable for practical

  16. 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,...

  17. 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.

  18. Intranet pel control i administració de versions

    OpenAIRE

    Lacasta Felix, Carlos

    2014-01-01

    Este proyecto consiste en la construcción de una intranet para la correcta y eficaz gestión de la información de los cambios en los productos de software que Arvato Services desarrolla y comercializa y mejorar la gestión de las licencias y configuraciones de producto de nuestros clientes.

  19. 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.

  20. Value Based Selling of Remote Services

    OpenAIRE

    Pajala, Teemu

    2014-01-01

    The objective of this study is to propose suggestions for internal cooperation and external and internal value propositions for the Remote Diagnostic Services offered by a global company. The case company in the study is a major manufacturer of electrical products and systems operating globally, and the unit of the study a Marine Unit in this company. An additional issue to address is the cooperation between the product sales and service sales units, with the purpose to allow installation of...

  1. 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

  2. Ontology-based topological representation of remote-sensing images

    OpenAIRE

    Oliva Santos, Rafael; Maciá Pérez, Francisco; Garea Llano, Eduardo

    2013-01-01

    This article proposes an ontology-based topological representation of remote-sensing images. Semantics, especially related to the topological relationships between the objects represented, are not explicit in remote-sensing images and this fact limits spatial analysis. Our aim is to provide an explicit ontological definition of the topological relations between objects in the image using the Quadtree data structure for spatial indexing. This structure is explicitly defined in an ontology allo...

  3. 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

  4. 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...

  5. Remote sensing image compression assessment based on multilevel distortions

    Science.gov (United States)

    Jiang, Hongxu; Yang, Kai; Liu, Tingshan; Zhang, Yongfei

    2014-01-01

    The measurement of visual quality is of fundamental importance to remote sensing image compression, especially for image quality assessment and compression algorithm optimization. We exploit the distortion features of optical remote sensing image compression and propose a full-reference image quality metric based on multilevel distortions (MLD), which assesses image quality by calculating distortions of three levels (such as pixel-level, contexture-level, and content-level) between original images and compressed images. Based on this, a multiscale MLD (MMLD) algorithm is designed and it outperforms the other current methods in our testing. In order to validate the performance of our algorithm, a special remote sensing image compression distortion (RICD) database is constructed, involving 250 remote sensing images compressed with different algorithms and various distortions. Experimental results on RICD and Laboratory for Image and Video Engineering databases show that the proposed MMLD algorithm has better consistency with subjective perception values than current state-of-the-art methods in remote sensing image compression assessment, and the objective assessment results can show the distortion features and visual quality of compressed image well. It is suitable to be the evaluation criteria for optical remote sensing image compression.

  6. 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)

  7. 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.

  8. 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...

  9. CREATING AN INTRANET PORTAL FOR THE STRATEGY OF HALTON GROUP

    OpenAIRE

    Vainio, Taina

    2009-01-01

    This applied thesis deals with Halton Group’s new strategy and its communication to the company’s employees. In this study organisational communication and internal marketing are seen as the key elements behind successful implementation of a company strategy, and therefore discussed mainly from the point of view of communicating the strategy. The purpose of this thesis was to facilitate Halton Group’s internal communication of the strategy. Creating an intranet portal that would act as a...

  10. It's About Letting Go of Control : A Practice Lens Perspective on a Municipal Social Intranet

    OpenAIRE

    Lövgren, Daniel

    2012-01-01

    Social intranets have over the last few years gained momentum in popularity and are rapidly being implemented in organizations around the world. Research is mainly limited to consist of analyses of use of particular technologies, and is mostly conducted in relation to private organizations. This thesis provides an analysis of the implementation and use of a social intranet in a public organization. In February 2012, Uppsala municipality (Sweden) implemented their new social intranet Insidan f...

  11. 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

  12. 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…

  13. Protein Remote Homology Detection Based on an Ensemble Learning Approach

    Science.gov (United States)

    Chen, Junjie; Liu, Bingquan; Huang, Dong

    2016-01-01

    Protein remote homology detection is one of the central problems in bioinformatics. Although some computational methods have been proposed, the problem is still far from being solved. In this paper, an ensemble classifier for protein remote homology detection, called SVM-Ensemble, was proposed with a weighted voting strategy. SVM-Ensemble combined three basic classifiers based on different feature spaces, including Kmer, ACC, and SC-PseAAC. These features consider the characteristics of proteins from various perspectives, incorporating both the sequence composition and the sequence-order information along the protein sequences. Experimental results on a widely used benchmark dataset showed that the proposed SVM-Ensemble can obviously improve the predictive performance for the protein remote homology detection. Moreover, it achieved the best performance and outperformed other state-of-the-art methods. PMID:27294123

  14. 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.

  15. Remote sensing images fusion based on block compressed sensing

    Science.gov (United States)

    Yang, Sen-lin; Wan, Guo-bin; Zhang, Bian-lian; Chong, Xin

    2013-08-01

    A novel strategy for remote sensing images fusion is presented based on the block compressed sensing (BCS). Firstly, the multiwavelet transform (MWT) are employed for better sparse representation of remote sensing images. The sparse representations of block images are then compressive sampling by the BCS with an identical scrambled block hadamard operator. Further, the measurements are fused by a linear weighting rule in the compressive domain. And finally, the fused image is reconstructed by the gradient projection sparse reconstruction (GPSR) algorithm. Experiments result analyzes the selection of block dimension and sampling rating, as well as the convergence performance of the proposed method. The field test of remote sensing images fusion shows the validity of the proposed method.

  16. 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.

  17. 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...

  18. 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 ...

  19. Seven Steps on the Road to Success: Principles To Bear in Mind When Launching an Intranet.

    Science.gov (United States)

    Adams, Ian

    1997-01-01

    Presents seven guidelines for launching a company intranet: (1) don't promise what can't be delivered; (2) be clear about who owns what; (3) be demand-led; (4) invest time in practical demonstrations; (5) avoid jargon; (6) have adequate resources to support colleagues; and (7) make intranet benefits relevant to colleagues. (AEF)

  20. 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…

  1. 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…

  2. As intranets como valor acrescentado para uma empresa

    OpenAIRE

    Pinto, Francisco Queirós; Carvalho, Paulo

    1997-01-01

    Uma empresa como organizaçao economica e social gera e manuseia diversos recursos de informaçao, que poderao ser obtidos e disponibilizados a toda a comunidade envolvente usando os serviços oferecidos pela infra-estrutura da Internet. Neste sentido, a instalaçao de uma rede empresarial baseada na tecnologia Internet e na Web (Intranet) introduz como vantagens imediatas a partilha alargada de recursos (de informaçao e computacionais) e a circulaçao eficiente de informaçao interna, atraves do u...

  3. 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.

  4. Regional Drought Monitoring Based on Multi-Sensor Remote Sensing

    Science.gov (United States)

    Rhee, Jinyoung; Im, Jungho; Park, Seonyoung

    2014-05-01

    Drought originates from the deficit of precipitation and impacts environment including agriculture and hydrological resources as it persists. The assessment and monitoring of drought has traditionally been performed using a variety of drought indices based on meteorological data, and recently the use of remote sensing data is gaining much attention due to its vast spatial coverage and cost-effectiveness. Drought information has been successfully derived from remotely sensed data related to some biophysical and meteorological variables and drought monitoring is advancing with the development of remote sensing-based indices such as the Vegetation Condition Index (VCI), Vegetation Health Index (VHI), and Normalized Difference Water Index (NDWI) to name a few. The Scaled Drought Condition Index (SDCI) has also been proposed to be used for humid regions proving the performance of multi-sensor data for agricultural drought monitoring. In this study, remote sensing-based hydro-meteorological variables related to drought including precipitation, temperature, evapotranspiration, and soil moisture were examined and the SDCI was improved by providing multiple blends of the multi-sensor indices for different types of drought. Multiple indices were examined together since the coupling and feedback between variables are intertwined and it is not appropriate to investigate only limited variables to monitor each type of drought. The purpose of this study is to verify the significance of each variable to monitor each type of drought and to examine the combination of multi-sensor indices for more accurate and timely drought monitoring. The weights for the blends of multiple indicators were obtained from the importance of variables calculated by non-linear optimization using a Machine Learning technique called Random Forest. The case study was performed in the Republic of Korea, which has four distinct seasons over the course of the year and contains complex topography with a variety

  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. Kaiser Permanente's "metadata-driven" national clinical intranet.

    Science.gov (United States)

    Dolin, R H; Boles, M; Dolin, R; Green, S; Hanifin, S; Hochhalter, B; Inglesis, R; Ivory, M; Levy, D; Nadspal, K; Rae, M A; Rucks, C J; Snyder, A; Stibolt, T; Stiefel, M; Travis, V

    2001-01-01

    This paper describes the approach taken to build Kaiser Permanente's national clinical intranet. A primary objective for the site is to facilitate resource discovery, which is enabled by the use of "metadata", or data (fields and field values) that describe the various resources available. Users can perform full text queries and/or fielded searching against the metadata. Metadata serves as the organizing principle of the site--it is used to index documents, sort search results, and structure the site's table of contents. The site's use of metadata--what it is, how it is created, how it is applied to documents, how it is indexed, how it is presented to the user in the search and the search results interface, and how it is used to construct the table of contents for the web site--will be discussed in detail. The result is that KP's national clinical intranet has coupled the power of Internet-like full text search engines with the power of MedLine-like fielded searching in order to maximize search precision and recall. Organizing content on the site in accordance with the metadata promotes overall consistency. Issues currently under investigation include how to better exploit the power of the controlled terminology within the metadata; whether the value gained is worth the cost of collecting metadata; and how automatic classification algorithms might obviate the need for manual document indexing. PMID:11604755

  8. 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.

  9. 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.

  10. 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.

  11. Web Based System Architecture for Long Pulse Remote Experimentation

    International Nuclear Information System (INIS)

    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.)

  12. 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.

  13. 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)

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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...

  19. Quantizing remote sensing radiation field research based on J-C model

    International Nuclear Information System (INIS)

    Remote sensing provides a powerful tool for human to explore the environment around us from multidimensional perspective and macroscopic view. As marrow of remote sensing, remote sensing information is about the message of light or electromagnetic wave obtained by remote sensing platform. Quantum remote sensing reveals remote sensing theories and methods in quantum level. Quantum remote sensing information is about how to express and transmit information by quantum state. Quantizing remote sensing radiation field is its main basis. Based on J-C model, which describes interaction between single mode light field and a two-level atom, expressions of operators correlated with light field can be obtained through state vector of atom-light field coupling system and Schrodinger equation. Both analysis and calculations show that quantum fluctuation of the light field can be squeezed. Numerical simulation is used to study the variation of quantum fluctuation, which deepens our understanding of quantum remote sensing information

  20. 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.

  1. 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.

  2. 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.

  3. Integrating Security-Critical Intranet Information Systems to Internet Consumer Services

    OpenAIRE

    Yrjölä, Markus

    2015-01-01

    Evolving business needs in an organization can require information systems to be integrated with each other, allowing business processes to be streamlined and optimized. However, system integrations can also increase security risks, as the interaction mechanisms can be vulnerable to exploitation. Security is especially important when a system in an intranet is integrated with the outside world, as the intranet often contains very sensitive data. The goal of this thesis was to determine how an...

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

    OpenAIRE

    Raied Salman

    2015-01-01

    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 an...

  5. Pla de govern d'una intranet basada en SharePoint

    OpenAIRE

    Parés Rosinés, Xavier

    2015-01-01

    L'objecte del projecte és la definició del Pla de Govern per a la Intranet de Raona Enginyers S.L. Es treballarà el concepte d'intranet, des del punt de vista del lloc web intern d'una organització. Per requisits de l'empresa, la tecnologia emprada serà SharePoint 2013.

  6. 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)

  7. 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.

  8. 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.

  9. Zigbee Based Wearable Remote Healthcare Monitoring System for Elderly Patients

    Directory of Open Access Journals (Sweden)

    Khalifa AlSharqi

    2014-10-01

    Full Text Available Remote health care monitoring system (RHCMS has drawn considerable attentions for the last decade. As the aging population are increasing and at the same time the health care cost is skyrocketing there has been a need to monitor a patient from a remote location. Moreover, many people of the World are out of the reach of existing healthcare systems. To solve these problems many research and commercial versions of RHCMS have been proposed and implemented till now. In these systems the performance was the main issue in order to accurately measure, record, and analyze patients’ data. With the ascent of wireless network RHCMS can be widely deployed to monitor the health condition of a patient inside and outside of the hospitals. In this work we present a ZigBee based wireless healthcare monitoring system that can provide real time online information about the health condition of a patient. The proposed system is able to send alarming messages to the healthcare professional about the patient’s critical condition. In addition the proposed system can send reports to a patient monitoring system, which can be used by the healthcare professionals to make necessary medical advices from anywhere of the World at any time.

  10. Remote Monitoring System for Communication Base Based on Short Message

    Directory of Open Access Journals (Sweden)

    Han Yu Fu

    2013-07-01

    Full Text Available This paper presents design and development of an automatic monitoring system of communication base which is an important means to realize modernization of mobile communication base station management. Firstly, this paper proposes the architecture of the monitoring system. The proposed system consists of mocrocontrollers, sensors, GSM module and MFRC500 etc. The value of parameters is measured in the system including terminal is studied and designed, including hardware design based on embedded system and software design. Finally, communication module is discussed. The monitoring system which is designed  based on GSM SMS(short message service can improve the integrity, reliability, flexibility and intellectuality of monitoring system.

  11. Performance evaluation of a Wireless Body Area sensor network for remote patient monitoring.

    Science.gov (United States)

    Khan, Jamil Y; Yuce, Mehmet R; Karami, Farbood

    2008-01-01

    In recent years, interests in the application of Wireless Body Area Network (WBAN) have grown considerably. A WBAN can be used to develop a patient monitoring system which offers flexibility and mobility to patients. Use of a WBAN will also allow the flexibility of setting up a remote monitoring system via either the internet or an intranet. For such medical systems it is very important that a WBAN can collect and transmit data reliably, and in a timely manner to the monitoring entity. In this paper we examine the performance of an IEEE802.15.4/Zigbee MAC based WBAN operating in different patient monitoring environment. We study the performance of a remote patient monitoring system using an OPNET based simulation model. PMID:19162897

  12. 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.

  13. 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.

  14. Semantic-based high resolution remote sensing image retrieval

    Science.gov (United States)

    Guo, Dihua

    High Resolution Remote Sensing (HRRS) imagery has been experiencing extraordinary development in the past decade. Technology development means increased resolution imagery is available at lower cost, making it a precious resource for planners, environmental scientists, as well as others who can learn from the ground truth. Image retrieval plays an important role in managing and accessing huge image database. Current image retrieval techniques, cannot satisfy users' requests on retrieving remote sensing images based on semantics. In this dissertation, we make two fundamental contributions to the area of content based image retrieval. First, we propose a novel unsupervised texture-based segmentation approach suitable for accurately segmenting HRRS images. The results of existing segmentation algorithms dramatically deteriorate if simply adopted to HRRS images. This is primarily clue to the multi-texture scales and the high level noise present in these images. Therefore, we propose an effective and efficient segmentation model, which is a two-step process. At high-level, we improved the unsupervised segmentation algorithm by coping with two special features possessed by HRRS images. By preprocessing images with wavelet transform, we not only obtain multi-resolution images but also denoise the original images. By optimizing the splitting results, we solve the problem of textons in HRRS images existing in different scales. At fine level, we employ fuzzy classification segmentation techniques with adjusted parameters for different land cover. We implement our algorithm using real world 1-foot resolution aerial images. Second, we devise methodologies to automatically annotate HRRS images based on semantics. In this, we address the issue of semantic feature selection, the major challenge faced by semantic-based image retrieval. To discover and make use of hidden semantics of images is application dependent. One type of the semantics in HRRS image is conveyed by composite

  15. Web-based remote sensing of building energy performance

    Science.gov (United States)

    Martin, William; Nassiopoulos, Alexandre; Le Cam, Vincent; Kuate, Raphaël; Bourquin, Frédéric

    2013-04-01

    The present paper describes the design and the deployment of an instrumentation system enabling the energy monitoring of a building in a smart-grid context. The system is based on a network of wireless low power IPv6 sensors. Ambient temperature and electrical power for heating are measured. The management, storage, visualisation and treatment of the data is done through a web-based application that can be deployed as an online web service. The same web-based framework enables the acquisition of distant measured data such as those coming from a nearby weather station. On-site sensor and weather station data are then adequately treated based on inverse identification methods. The algorithms aim at determining the parameters of a numerical model suitable for a short-time horizon prediction of indoor climate. The model is based on standard multi-zone modelling assumptions and takes into account solar, airflow and conductive transfers. It was specially designed to render accurately inertia effects that are used in a demand-response strategy. All the hardware or software technologies that are used in the system are open and low cost so that they comply with the constraints of on-site deployment in buildings. The measured data as well as the model predictions can be accessed ubiquously through the web. This feature enables to consider a wide range of energy management applications at the disctrict, city or national level. The entire system has been deployed and tested in an experimental office building in Angers, France. It demonstrates the potential of ICT technologies to enable remotely controlled monitoring and surveillance in real time.

  16. 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 ...

  17. 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.

  18. 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...

  19. 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.

  20. Design and Implementation of a Wireless Sensor Network-Based Remote Water-Level Monitoring System

    OpenAIRE

    Li, Xiuhong; Cheng, Xiao; Gong, Peng; Yan, Ke

    2011-01-01

    The proposed remote water-level monitoring system (RWMS) consists of a field sensor module, a base station module, adata center module and aWEB releasing module. It has advantages in real time and synchronized remote control, expandability, and anti-jamming capabilities. The RWMS can realize real-time remote monitoring, providing early warning of events and protection of the safety of monitoring personnel under certain dangerous circumstances. This system has been successfully applied in Poya...

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

    OpenAIRE

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

    2015-01-01

    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 so...

  2. 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.

  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. 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.

  5. 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.

  6. 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

  7. 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.

  8. 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)

  9. 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.

  10. 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

  11. Development of gamma-ray energy spectrum remote-measurement system based on LabVIEW

    International Nuclear Information System (INIS)

    Design techniques of a gamma-ray energy spectrum remote-measurement system based on Lab VIEW are described, including data acquicition and client control program, and network communication by DataSocket. The gamma-ray energy spectrum of 137Cs was measured by the system, indicating that performance of our remote-measurement system based on LabVIEW is better than that based on Java Applet. (authors)

  12. A Novel Graph Based Fuzzy Clustering Technique For Unsupervised Classification Of Remote Sensing Images

    OpenAIRE

    Banerjee, B.; Krishna Moohan, B.

    2014-01-01

    This paper addresses the problem of unsupervised land-cover classification of multi-spectral remotely sensed images in the context of self-learning by exploring different graph based clustering techniques hierarchically. The only assumption used here is that the number of land-cover classes is known a priori. Object based image analysis paradigm which processes a given image at different levels, has emerged as a popular alternative to the pixel based approaches for remote sensing ima...

  13. 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...

  14. 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...

  15. 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.

  16. [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

  17. Using optical remote sensing model to estimate oil slick thickness based on satellite image

    International Nuclear Information System (INIS)

    An optical remote sensing model has been established based on two-beam interference theory to estimate marine oil slick thickness. Extinction coefficient and normalized reflectance of oil are two important parts in this model. Extinction coefficient is an important inherent optical property and will not vary with the background reflectance changed. Normalized reflectance can be used to eliminate the background differences between in situ measured spectra and remotely sensing image. Therefore, marine oil slick thickness and area can be estimated and mapped based on optical remotely sensing image and extinction coefficient

  18. 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...

  19. 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.

  20. Robust Remote Homology Detection by Feature Based Profile Hidden Markov Models

    OpenAIRE

    Plötz Thomas; Fink Gernot A.

    2005-01-01

    The detection of remote homologies is of major importance for molecular biology applications like drug discovery. The problem is still very challenging even for state-of-the-art probabilistic models of protein families, namely Profile HMMs. In order to improve remote homology detection we propose feature based semi-continuous Profile HMMs. Based on a richer sequence representation consisting of features which capture the biochemical properties of residues in their local context, family specif...

  1. 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.

  2. Remote measurement of microwave distribution based on optical detection

    Science.gov (United States)

    Ji, Zhong; Ding, Wenzheng; Yang, Sihua; Chen, Qun; Xing, Da

    2016-01-01

    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.

  3. 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

  4. 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.

  5. 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...

  6. A domotic system with remote access based on web services

    OpenAIRE

    Pardo, Mauricio Esteban; Strack, Guillermo; Martínez, Diego C.

    2008-01-01

    Domotics systems are intelligent systems for houses and apartments to control several issues as security and light or climate devices. In this work we present the development of an economic domotic system to control different electrical devices in a private house. This is achieved either from inside the building or by remote control using a regular Internet connection. In order to provide this functionality, the system includes a server that provides web services to the controlling applicatio...

  7. 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...

  8. 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

  9. 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.

  10. 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.

  11. 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...

  12. A Comparison of Novel Optical Remote Sensing-Based Technologies for Forest-Cover/Change Monitoring

    OpenAIRE

    Gillian V. Lui; Coomes, David A.

    2015-01-01

    Remote sensing is gaining considerable traction in forest monitoring efforts, with the Carnegie Landsat Analysis System lite (CLASlite) software package and the Global Forest Change dataset (GFCD) being two of the most recently developed optical remote sensing-based tools for analysing forest cover and change. Due to the relatively nascent state of these technologies, their abilities to classify land cover and monitor forest dynamics have yet to be evaluated against more established approache...

  13. 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...

  14. 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...

  15. 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 ...

  16. 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.

  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.

    Science.gov (United States)

    Xu, Dandan; Guo, Xulin

    2015-01-01

    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. PMID:25643060

  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. 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.

  1. Interrupt Based RC5 Remote-decoding Using 8051 μC

    Directory of Open Access Journals (Sweden)

    B. Kant

    2013-01-01

    Full Text Available Generally used remote decoding techniques are based solely on the concept of polling. Such methods waste a considerable amount of precious execution time in polling. Interrupt based systems can utilize this time for multitasking. This study has proposed a new technique based on interrupts and discussed its possible implementation.

  2. Internet a Intranet - jejich klady, zápory a využitelnost u Policie ČR

    OpenAIRE

    SEMRÁDOVÁ, Lucie

    2011-01-01

    Internet and Intranet are common and indispensable tools that change the world today. The first part of my diploma work is to show what positive and negative pages bring Internet and Intranet, including the rules and principles which are suitable to keep and what portales and projects are deal with security of Internet in nowadays. This whole section is ended up with own research especially with method of questionnaire investigation. This one is intended for mapped out the situation, whether ...

  3. Designing and Implementing the Intranet for ZhuHai State-Kai Polymer and New Materials Co.,Ltd

    OpenAIRE

    Chen, Si; Jiang, Min

    2010-01-01

    This Thesis was commissioned by Zhuhai State-Kai Polymer and New Materials company, which is a chemical and pharmacy SME in China. The Thesis aimed to design and implement the Intranet with the characteristics of the case company on the basis of the identified requirements. The designed Intranet innovates in a computerized system to replace the current manual system used in its business life. The questionnaire approach was used to gather the information and requirements both from the view...

  4. Analysis of remote operating systems for space-based servicing operations, volume 1

    Science.gov (United States)

    1985-01-01

    A two phase study was conducted to analyze and develop the requirements for remote operating systems as applied to space based operations for the servicing, maintenance, and repair of satellites. Phase one consisted of the development of servicing requirements to establish design criteria for remote operating systems. Phase two defined preferred system concepts and development plans which met the requirements established in phase one. The specific tasks in phase two were to: (1) identify desirable operational and conceptual approaches for selected mission scenarios; (2) examine the potential impact of remote operating systems incorporated into the design of the space station; (3) address remote operating systems design issues, such as mobility, which are effected by the space station configuration; and (4) define the programmatic approaches for technology development, testing, simulation, and flight demonstration.

  5. 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.)

  6. 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.

  7. 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

  8. 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

  9. 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

  10. 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...

  11. 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-...

  12. 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)

  13. Intranet for making the life of library staff easier: the case of Lithuanian academic libraries

    OpenAIRE

    Zemcova, Julija; Baltrūnas, Edvaldas; Manžuch, Zinaida; Rudžionienė, Jurgita

    2010-01-01

    The successful information flow and communication are the key tasks for a library of any type. Academic libraries operate in the information intensive environment, where timely and efficient communication between library staff impacts the quality of information services, ensures creative decisions and effective teamwork. However, to manage internal information flows an efficient information sharing infrastructure is crucial. For these purposes intranet, a technology which is widely applied fo...

  14. 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. PMID:19948709

  15. Estimation rice yield based on integration remote sensing information and crop model

    Science.gov (United States)

    Guo, Jianmao; Wang, Qi; Zheng, Tengfei; Li, Xujie; Shi, Junyi; Zhu, Jinhui

    2012-10-01

    Crop model is a powerful tool in crop growth monitoring and yield forecasting, however crop model is developed based on single point scale, due to regional differentiation、field variation and other reasons lead to input parameters and initial conditions which required by crop model simulation are hard to obtain, the application of crop model has been greatly limited in the regional scale, the introduction of remote sensing will solve this problem, remote sensing is combined with the crop model WOFOST, using the state variable retrieved by remote sensing to optimize crop model simulation, revaluing the sensitive parameters and initial conditions which needed in crop model on the region scale, in order to take the advantage of crop model in the area.This study is on the basis of adaptive adjustment and amendment of crop model WOFOST, build a winter wheat growth simulation model which is suitable for Yucheng, Shandong; Using the field experiment data calibration and validation the WOFOST model, discussed the method which combined crop simulation model and remote sensing under water stress level, using remote sensing calibrated some key processes of crop simulation or reinitialize、parameterize the crop simulation model in order to achieve the optimization model; Explored some reasonable and practical method of remote sensing information application in crop simulation at regional scale, with more research, make it possible to monitor regional crop growth and forecast the output.

  16. A robust and effective smart-card-based remote user authentication mechanism using hash function.

    Science.gov (United States)

    Das, Ashok Kumar; 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

  17. 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.

  18. 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.

  19. 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...

  20. A remote engineering solution for automating a roller hearth kiln

    OpenAIRE

    João Bosco da Mota Alves; Gustavo R. Alves; Benedito Renê Fischer; Juarez Bento Silva

    2008-01-01

    Remote engineering (also known as online engineering) may be defined as a combination of control engineering and telematics. In this area, specific activities require computacional skills in order to develop projects where electrical devives are monitored and / or controlled, in an intercative way, through a distributed network (e.g. Intranet or Internet). In our specific case, we will be dealing with an industrial plant. Within the last few years, there has been an increase in the number ...

  1. 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.

  2. 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.

  3. 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.

  4. Model based traffic congestion detection in optical remote sensing imagery

    OpenAIRE

    Palubinskas, Gintautas; Kurz, Franz; Reinartz, Peter

    2010-01-01

    Purpose A new model based approach for the traffic congestion detection in time series of airborne optical digital camera images is proposed. Methods It is based on the estimation of the average vehicle speed on road segments. The method puts various techniques together: the vehicle detection on road segments by change detection between two images with a short time lag, the usage of a priori information such as road data base, vehicle sizes and road parameters and a si...

  5. 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

  6. 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…

  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. 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

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

    Directory of Open Access Journals (Sweden)

    Yvonne Walz

    2015-11-01

    Full Text Available 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 moderateresolution 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 pixelbased 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.

  10. Remote monitoring of radioactive sources based on i.MX27 platform

    International Nuclear Information System (INIS)

    It based on the ASIC solutions, has chosen Freescale's i.MX27 development system as a platform for designing video capture and transmission system. The article uses the latest H.264 video compression standard and complete the entire system of hardware and software design, which is successfully applied to remote monitoring of radioactive sources. (authors)

  11. Estimating evapotranspiration and drought stress with ground-based thermal remote sensing in agriculture: a review.

    Science.gov (United States)

    Maes, W H; Steppe, K

    2012-08-01

    As evaporation of water is an energy-demanding process, increasing evapotranspiration rates decrease the surface temperature (Ts) of leaves and plants. Based on this principle, ground-based thermal remote sensing has become one of the most important methods for estimating evapotranspiration and drought stress and for irrigation. This paper reviews its application in agriculture. The review consists of four parts. First, the basics of thermal remote sensing are briefly reviewed. Second, the theoretical relation between Ts and the sensible and latent heat flux is elaborated. A modelling approach was used to evaluate the effect of weather conditions and leaf or vegetation properties on leaf and canopy temperature. Ts increases with increasing air temperature and incoming radiation and with decreasing wind speed and relative humidity. At the leaf level, the leaf angle and leaf dimension have a large influence on Ts; at the vegetation level, Ts is strongly impacted by the roughness length; hence, by canopy height and structure. In the third part, an overview of the different ground-based thermal remote sensing techniques and approaches used to estimate drought stress or evapotranspiration in agriculture is provided. Among other methods, stress time, stress degree day, crop water stress index (CWSI), and stomatal conductance index are discussed. The theoretical models are used to evaluate the performance and sensitivity of the most important methods, corroborating the literature data. In the fourth and final part, a critical view on the future and remaining challenges of ground-based thermal remote sensing is presented. PMID:22922637

  12. Providing Equivalent Learning Activities with Software-Based Remote Access Laboratories

    Directory of Open Access Journals (Sweden)

    Alexander A. Kist

    2013-04-01

    Full Text Available Laboratory-based learning activities are important components of engineering and surveying education and it is difficult to offering practical activities to distance education students. Remote Access Laboratory (RAL systems are widely discussed as learning tools to offer students remote access to rigs or hardware. In some disciplines laboratory activities are purely software based and RAL systems can be used to provide access to software. As part of a larger study into the transferability of the remote laboratory concept to non-engineering disciplines this project evaluates the effectiveness of RAL based software activities in supporting student learning is investigated. In the discipline of Surveying and Spatial Science, RAL technology is used to provide Geographic Information System software access to distance students. The key research question discussed in this paper is whether RAL-based software activities can address the same learning outcomes as face-to-face practical classes for software activities. Data was collected from students’ discussion forums, teaching staff diaries and teaching staff interviews. The project demonstrates that students undertaking learning activities remotely achieve similar learning outcomes than student in practice classes using the same software. Ease of system access and usability are critical and the learning activity needs to be supported by comprehensive learning materials. This research provides a clear case in which the use of RAL technology has provided inclusive educational opportunities more efficiently and these general results are also applicable to experiments that involve physical hardware.

  13. 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

  14. 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.

  15. 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.

  16. 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.

  17. 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...

  18. 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...

  19. ‘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.

  20. 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.

  1. Laser based remote diameter measurement in radioactive area

    International Nuclear Information System (INIS)

    A non-contact laser based instrument for fuel pellet diameter measurement from outside the glass walled glove box has been developed at LPTD, BARC. Its optical design allows separation of 1 meter between its two measuring units thus suitable for 1 meter wide glove box. The instrument is based on beam scanning principle and calculates the diameter by measuring object shadow pulse width. A micro controller based circuit has been designed along with high speed counters for diameter calculation and display purpose. This stand alone instrument has been tested for diameter range of interest from 4.12mm to 4.23 mm and gives an accuracy of ± 4 μm. (author)

  2. 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.

  3. A Novel Datamining Based Approach for Remote Intrusion Detection

    Directory of Open Access Journals (Sweden)

    Renu Deepti.S, Loshma.G

    2012-06-01

    Full Text Available Today, as information systems are more open to the Internet,attacks and intrusions are also increasing rapidly so the importance of secure networks is also vital. New intelligent Intrusion Detection Systems which are based on sophisticated algorithms are in demand.Intrusion Detection System (IDS is an important detection used as a countermeasure to preserve data integrity and system availability from attacks. It is a combination of software and hardware that attempts to perform intrusion detection.In data mining based intrusion detection system, we should make use of particular domain knowledge in relation to intrusion detection in order to efficiently extract relative rules from large amounts of records.This paper proposes boosting method for intrusion detection and it is possible to detect the intrusions in all the Systems, without installing the Software in client System (like client-server via Web service (Apache tomcat by using the ip address of the client system.

  4. 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

  5. Estimating Crop Coefficients Using Remote Sensing-Based Vegetation Index

    OpenAIRE

    Kenneth Hubbard; Baburao Kamble; Ayse Kilic

    2013-01-01

    Crop coefficient (Kc)-based estimation of crop evapotranspiration is one of the most commonly used methods for irrigation water management. However, uncertainties of the generalized dual crop coefficient (Kc) method of the Food and Agricultural Organization of the United Nations Irrigation and Drainage Paper No. 56 can contribute to crop evapotranspiration estimates that are substantially different from actual crop evapotranspiration. Similarities between the crop coefficient curve and a sate...

  6. 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...

  7. 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.

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

    OpenAIRE

    He Liu; Yadong Wang; Lei Wang

    2013-01-01

    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 throug...

  9. 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...

  10. Model-based acoustic remote sensing of seafloor characteristics

    Digital Repository Service at National Institute of Oceanography (India)

    De, Ch.; Chakraborty, B.

    spectrum strength w 2 are different at 33 and 210 kHz. Because the interface roughness is modeled (based on the assumption of isotropic Gaussian distribution of surface relief) by a single power law relief energy, the values of the roughness spectrum... characterized by coarse sediments has less-steep decay (i.e., lower value of γ 2 ) in the power–law relationship [25]. One of the possibilities for a power spectrum to have less-steep decay (i.e., less-steep slope of the regression line) is that the intercept...

  11. 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

  12. 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".

  13. Polynomial fitting-based shape matching algorithm for multi-sensors remote sensing images

    Science.gov (United States)

    Gu, Yujie; Ren, Kan; Wang, Pengcheng; Gu, Guohua

    2016-05-01

    According to the characteristics of multi-sensors remote sensing images, a new registration algorithm based on shape contour feature is proposed. Firstly, the edge features of remote sensing images are extracted by Canny operator, and the edge of the main contour is retained. According to the characteristics of the contour pixels, a new feature extraction algorithm based on polynomial fitting is proposed and it is used to determine the principal directions of the feature points. On this basis, we improved the shape context descriptor and completed coarse registration by minimizing the matching cost between the feature points. The shape context has been found to be robust in Simple object registration, and in this paper, it is applied to remote sensing image registration after improving the circular template with rotation invariance. Finally, the fine registration is accomplished by the RANSAC algorithm. Experiments show that this algorithm can realize the automatic registration of multi-sensors remote sensing images with high accuracy, robustness and applicability.

  14. Internet based remote cooperative engineering system for NSSS system design

    International Nuclear Information System (INIS)

    Implementation of information technology system through the nuclear power plant life cycle which covers site selection, design, construction, operation and decommission has been suggested continually by the reports or guidelines from NIRMA, INPO, NUMARC, USNRC and EPRI since late 1980's, and some of it has been actually implemented and applied partially to the practical design process. However, for the NSSS system design, a high level activity of nuclear power plant design phase, none of the effects has been reported with regard to implementing the information system. In Korea, KAERI studied NuIDEAS(Nuclear Integrated Database and Design Advancement System) in 1995, and KAERI (Korea Electric Power Research Institute) worked with CENP (Combustion Engineering Nuclear Power) for KNGR IMS(Information Management System) in 1997 as trials to adopt information system for NSSS system design. In this paper, after reviewing the pre-studied two information system, we introduce implementation of the information system for NSSS system design which is compatible with the on-going design works and can be used as means of concurrent engineering through internet. With this electronic design system, we expect increase of the design efficiency and productivity by switching from hard copy based design flow to internet based system. In addition, reliability and traceability of the design data is highly elevated by containing the native document file together with all the review, comment and resolution history in one database

  15. 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.

  16. Understanding the internet, website design and intranet development: a primer for radiologists

    International Nuclear Information System (INIS)

    The internet has become an essential part of daily life for almost all radiologists and yet few fully understand how this works or how best to harness the technology within the workplace. This article will explore the basics of computer networking which has allowed the internet to become a valuable resource. In addition, the process of designing and implementing a website or intranet site for the benefit of radiology departmental administration and education will be discussed. The options of how to develop a website, what to include, and how to achieve this using easy to use, freely available and low-cost software will also be explored

  17. 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.

  18. A comparison between evapotranspiration estimates based on remotely sensed surface energy balance and ground-based soil water balance analyses

    Science.gov (United States)

    Remotely sensed and in-situ data were used to investigate dynamics of root zone soil moisture and evapotranspiration (ET) at four Mesonet stations in north-central Oklahoma over an 11-year period (2000-2010). Two moisture deficit indicators based on soil matric potential had spatial and temporal pat...

  19. 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

  20. Estimating Crop Coefficients Using Remote Sensing-Based Vegetation Index

    Directory of Open Access Journals (Sweden)

    Kenneth Hubbard

    2013-03-01

    Full Text Available Crop coefficient (Kc-based estimation of crop evapotranspiration is one of the most commonly used methods for irrigation water management. However, uncertainties of the generalized dual crop coefficient (Kc method of the Food and Agricultural Organization of the United Nations Irrigation and Drainage Paper No. 56 can contribute to crop evapotranspiration estimates that are substantially different from actual crop evapotranspiration. Similarities between the crop coefficient curve and a satellite-derived vegetation index showed potential for modeling a crop coefficient as a function of the vegetation index. Therefore, the possibility of directly estimating the crop coefficient from satellite reflectance of a crop was investigated. The Kc data used in developing the relationship with NDVI were derived from back-calculations of the FAO-56 dual crop coefficients procedure using field data obtained during 2007 from representative US cropping systems in the High Plains from AmeriFlux sites. A simple linear regression model ( is developed to establish a general relationship between a normalized difference vegetation index (NDVI from a moderate resolution satellite data (MODIS and the crop coefficient (Kc calculated from the flux data measured for different crops and cropping practices using AmeriFlux towers. There was a strong linear correlation between the NDVI-estimated Kc and the measured Kc with an r2 of 0.91 and 0.90, while the root-mean-square error (RMSE for Kc in 2006 and 2007 were 0.16 and 0.19, respectively. The procedure for quantifying crop coefficients from NDVI data presented in this paper should be useful in other regions of the globe to understand regional irrigation water consumption.

  1. Snow cover reconstruction methodology based on historic in situ observations and recent remote sensing data

    Directory of Open Access Journals (Sweden)

    A. Gafurov

    2014-09-01

    Full Text Available Spatially distributed snow cover extent can be derived from remote sensing data with good accuracy. However, such data are available for recent decades only, after satellite missions with proper snow detection capabilities were launched. Yet, longer time series of snow cover area (SCA are usually required e.g. for hydrological model calibration or water availability assessment in the past. We present a methodology to reconstruct historical snow coverage using recently available remote sensing data and long-term point observations of snow depth from existing meteorological stations. The methodology is mainly based on correlations between station records and spatial snow cover patterns. Additionally, topography and temporal persistence of snow patterns are taken into account. The methodology was applied to the Zerafshan River basin in Central Asia – a very data-sparse region. Reconstructed snow cover was cross-validated against independent remote sensing data and shows an accuracy of about 85%. The methodology can be used to overcome the data gap for earlier decades when the availability of remote sensing snow cover data was strongly limited.

  2. 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)

    ZHANG; Renhua(张仁华); SUN; Xiaomin(孙晓敏); ZHU; Zhilin(朱治林); SU; Hongbo(苏红波); TANG; Xinzhai(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.

  3. Development of an unmanned aerial vehicle-based remote sensing system for site-specific management in precision agriculture

    Science.gov (United States)

    An Unmanned Aerial Vehicle (UAV) can be remotely controlled or fly autonomously based on pre-programmed flight plans or more complex dynamic automation systems. In agriculture, UAVs have been used for pest control and remote sensing. The objective of this research was to develop a UAV system to en...

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. A remote engineering solution for automating a roller hearth kiln

    Directory of Open Access Journals (Sweden)

    João Bosco da Mota Alves

    2008-07-01

    Full Text Available Remote engineering (also known as online engineering may be defined as a combination of control engineering and telematics. In this area, specific activities require computacional skills in order to develop projects where electrical devives are monitored and / or controlled, in an intercative way, through a distributed network (e.g. Intranet or Internet. In our specific case, we will be dealing with an industrial plant. Within the last few years, there has been an increase in the number of activities related to remote engineering, which may be connected to the phenomenon of the large extension experienced by the Internet (e.g. bandwith, number of users, development tools, etc.. This increase opens new and future possibilities to the implementation of advance teleworking (or e-working positions. In this paper we present the architecture for a remote application, accessible through the Internet, able to monitor and control a roller hearth kiln, used in a ceramics industry for firing materials. The proposed architecture is based on a micro web server, whose main function is to monitor and control the firing process, by reading the data from a series of temperature sensors and by controlling a series of electronic valves and servo motors. This solution is also intended to be a low-cost alternative to other potential solutions. The temperature readings are obtained through K-type thermopairs and the gas flow is controlled through electrovalves. As the firing process should not be stopped before its complete end, the system is equipped with a safety device for that specific purpose. For better understanding the system to be automated and its operation we decided to develop a scale model (100:1 and experiment on it the devised solution, based on a Micro Web Server.

  10. 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.

  11. A Formal Study of the Privacy Concerns in Biometric-Based Remote Authentication Schemes

    OpenAIRE

    Tang, Qiang; Bringer, Julien; Chabanne, Hervé; Pointcheval, David; Chen, L; Mu, Y.; Susilo, W.

    2008-01-01

    With their increasing popularity in cryptosystems, biometrics have attracted more and more attention from the information security community. However, how to handle the relevant privacy concerns remains to be troublesome. In this paper, we propose a novel security model to formalize the privacy concerns in biometric-based remote authentication schemes. Our security model covers a number of practical privacy concerns such as identity privacy and transaction anonymity, which have not been forma...

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

    OpenAIRE

    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 ...

  13. DEVELOPMENT AND EVALUATION OF A UAV BASED MAPPING SYSTEM FOR REMOTE SENSING AND SURVEYING APPLICATIONS

    OpenAIRE

    Eling, C.; Wieland, M.; Hess, C.; Klingbeil, L.; Kuhlmann, H.

    2015-01-01

    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 recen...

  14. A Whitening Transformation Based Approach to One-class Classification of Remote Sensing Imagery

    OpenAIRE

    BO Shukui; Li, Xiang; Li, Lingling

    2015-01-01

    In this study, a whitening transformation based approach to one-class classification of remote sensing imagery is investigated. Only positive data are required to train the one-class classifier. Firstly, the image data is mapped to a new feature space using the whitening processing with all directions of the class of interest. Then a threshold is selected to make a binary prediction. A heuristic method of threshold selection is performed in the experiment of one-class classification. A series...

  15. 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...

  16. 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.

  17. Evaluating the Remote Sensing and Inventory-Based Estimation of Biomass in the Western Carpathians

    Directory of Open Access Journals (Sweden)

    Gretchen G. Moisen

    2011-07-01

    Full Text Available Understanding the potential of forest ecosystems as global carbon sinks requires a thorough knowledge of forest carbon dynamics, including both sequestration and fluxes among multiple pools. The accurate quantification of biomass is important to better understand forest productivity and carbon cycling dynamics. Stand-based inventories (SBIs are widely used for quantifying forest characteristics and for estimating biomass, but information may quickly become outdated in dynamic forest environments. Satellite remote sensing may provide a supplement or substitute. We tested the accuracy of aboveground biomass estimates modeled from a combination of Landsat Thematic Mapper (TM imagery and topographic data, as well as SBI-derived variables in a Picea abies forest in the Western Carpathian Mountains. We employed Random Forests for non-parametric, regression tree-based modeling. Results indicated a difference in the importance of SBI-based and remote sensing-based predictors when estimating aboveground biomass. The most accurate models for biomass prediction ranged from a correlation coefficient of 0.52 for the TM- and topography-based model, to 0.98 for the inventory-based model. While Landsat-based biomass estimates were measurably less accurate than those derived from SBI, adding tree height or stand-volume as a field-based predictor to TM and topography-based models increased performance to 0.36 and 0.86, respectively. Our results illustrate the potential of spectral data to reveal spatial details in stand structure and ecological complexity.

  18. A Novel Graph Based Fuzzy Clustering Technique For Unsupervised Classification Of Remote Sensing Images

    Science.gov (United States)

    Banerjee, B.; Krishna Moohan, B.

    2014-11-01

    This paper addresses the problem of unsupervised land-cover classification of multi-spectral remotely sensed images in the context of self-learning by exploring different graph based clustering techniques hierarchically. The only assumption used here is that the number of land-cover classes is known a priori. Object based image analysis paradigm which processes a given image at different levels, has emerged as a popular alternative to the pixel based approaches for remote sensing image segmentation considering the high spatial resolution of the images. A graph based fuzzy clustering technique is proposed here to obtain a better merging of an initially oversegmented image in the spectral domain compared to conventional clustering techniques. Instead of using Euclidean distance measure, the cumulative graph edge weight is used to find the distance between a pair of points to better cope with the topology of the feature space. In order to handle uncertainty in assigning class labels to pixels, which is not always a crisp allocation for remote sensing data, fuzzy set theoretic technique is incorporated to the graph based clustering. Minimum Spanning Tree (MST) based clustering technique is used to over-segment the image at the first level. Furthermore, considering that the spectral signature of different land-cover classes may overlap significantly, a self-learning based Maximum Likelihood (ML) classifier coupled with the Expectation Maximization (EM) based iterative unsupervised parameter retraining scheme is used to generate the final land-cover classification map. Results on two medium resolution images establish the superior performance of the proposed technique in comparison to the traditional fuzzy c-means clustering technique.

  19. 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

  20. Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping

    Directory of Open Access Journals (Sweden)

    David Deery

    2014-07-01

    Full Text Available The achievements made in genomic technology in recent decades are yet to be matched by fast and accurate crop phenotyping methods. Such crop phenotyping methods are required for crop improvement efforts to meet expected demand for food and fibre in the future. This review evaluates the role of proximal remote sensing buggies for field-based phenotyping with a particular focus on the application of currently available sensor technology for large-scale field phenotyping. To illustrate the potential for the development of high throughput phenotyping techniques, a case study is presented with sample data sets obtained from a ground-based proximal remote sensing buggy mounted with the following sensors: LiDAR, RGB camera, thermal infra-red camera and imaging spectroradiometer. The development of such techniques for routine deployment in commercial-scale breeding and pre-breeding operations will require a multidisciplinary approach to leverage the recent technological advances realised in computer science, image analysis, proximal remote sensing and robotics.

  1. 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.

  2. Winter wheat quality monitoring and forecasting system based on remote sensing and environmental factors

    International Nuclear Information System (INIS)

    To achieve dynamic winter wheat quality monitoring and forecasting in larger scale regions, the objective of this study was to design and develop a winter wheat quality monitoring and forecasting system by using a remote sensing index and environmental factors. The winter wheat quality trend was forecasted before the harvest and quality was monitored after the harvest, respectively. The traditional quality-vegetation index from remote sensing monitoring and forecasting models were improved. Combining with latitude information, the vegetation index was used to estimate agronomy parameters which were related with winter wheat quality in the early stages for forecasting the quality trend. A combination of rainfall in May, temperature in May, illumination at later May, the soil available nitrogen content and other environmental factors established the quality monitoring model. Compared with a simple quality-vegetation index, the remote sensing monitoring and forecasting model used in this system get greatly improved accuracy. Winter wheat quality was monitored and forecasted based on the above models, and this system was completed based on WebGIS technology. Finally, in 2010 the operation process of winter wheat quality monitoring system was presented in Beijing, the monitoring and forecasting results was outputted as thematic maps

  3. Automatic identification of shallow landslides based on Worldview2 remote sensing images

    Science.gov (United States)

    Ma, Hai-Rong; Cheng, Xinwen; Chen, Lianjun; Zhang, Haitao; Xiong, Hongwei

    2016-01-01

    Automatic identification of landslides based on remote sensing images is important for investigating disasters and producing hazard maps. We propose a method to detect shallow landslides automatically using Wordview2 images. Features such as high soil brightness and low vegetation coverage can help identify shallow landslides on remote sensing images. Therefore, soil brightness and vegetation index were chosen as indexes for landslide remote sensing. The back scarp of a landslide can form dark shadow areas on the landslide mass, affecting the accuracy of landslide extraction. To eliminate this effect, the shadow index was chosen as an index. The first principal component (PC1) contained >90% of the image information; therefore, this was also selected as an index. The four selected indexes were used to synthesize a new image wherein information on shallow landslides was enhanced, while other background information was suppressed. Then, PC1 was extracted from the new synthetic image, and an automatic threshold segmentation algorithm was used for segmenting the image to obtain similar landslide areas. Based on landslide features such as slope, shape, and area, nonlandslide areas were eliminated. Finally, four experimental sites were used to verify the feasibility of the developed method.

  4. 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.

  5. 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.

  6. 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.

  7. Analysis of remote operating systems for space-based servicing operations. Volume 2: Study results

    Science.gov (United States)

    1985-01-01

    The developments in automation and robotics have increased the importance of applications for space based servicing using remotely operated systems. A study on three basic remote operating systems (teleoperation, telepresence and robotics) was performed in two phases. In phase one, requirements development, which consisted of one three-month task, a group of ten missions were selected. These included the servicing of user equipment on the station and the servicing of the station itself. In phase two, concepts development, which consisted of three tasks, overall system concepts were developed for the selected missions. These concepts, which include worksite servicing equipment, a carrier system, and payload handling equipment, were evaluated relative to the configurations of the overall worksite. It is found that the robotic/teleoperator concepts are appropriate for relatively simple structured tasks, while the telepresence/teleoperator concepts are applicable for missions that are complex, unstructured tasks.

  8. 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.

  9. Research and implementation of a Web-based remote desktop image monitoring system

    International Nuclear Information System (INIS)

    It studied and implemented an ISS (Image Snapshot Server) system based on Web, using Java Web technology. The ISS system consisted of client web browser and server. The server part could be divided into three modules as the screen shots software, web server and Oracle database. Screen shots software intercepted the desktop environment of the remote monitored PC and sent these pictures to a Tomcat web server for displaying on the web at real time. At the same time, these pictures were also saved in an Oracle database. Through the web browser, monitor person can view the real-time and historical desktop pictures of the monitored PC during some period. It is very convenient for any user to monitor the desktop image of remote monitoring PC. (authors)

  10. 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.

  11. 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)

  12. 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.

  13. 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

  14. 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

  15. 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 ...

  16. 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.

  17. 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.

  18. 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

  19. 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.

  20. 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

  1. A coherent FM laser radar based system for remote metrology in ITER

    International Nuclear Information System (INIS)

    The plasma facing surfaces in ITER must be aligned to millimeter accuracy with respect to the magnetic flux surfaces to prevent impurity influx into the plasma and to avoid component damage. Checking of in-vessel component alignment during initial assembly, operation, and subsequent maintenance is anticipated. A fully remote metrology system is necessary, particularly since major remote operations such as shield blanket exchange and divertor cassette replacement are planned. The metrology system must be compatible with the ITER in-vessel environment of high gamma radiation, super-clean ultra-high-vacuum, and elevated temperature. A fast scanning rate is required since the plasma facing surface in ITER is very large. A coherent FM laser radar based metrology system, developed by Coleman Research Corporation, is being adopted to accomplish this task. Conceptually, this metrology system consists of a compact remotely deployed laser transceiver optics module, linked through fiber optics to the laser source and imaging units that are located outside the biological shield. Range measurements conducted on a variety of surfaces using the system have yielded sub-millimeter accuracy. Therefore, the technique will easily meet the precision requirement for the ITER application. Computer simulations have been carried out to determine the optimum number of units required for complete mapping of the plasma facing surfaces

  2. 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.

  3. 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

  4. Design of the Remote Wireless Meter Reading System Based on GPRS

    Directory of Open Access Journals (Sweden)

    Na Wu

    2013-11-01

    Full Text Available Smart grid is the focus development direction of the national power grid construction, and remote power information collection is the important part of smart grid. The existing automatic meter reading system of remote electric power information collection has such problems as high cost, big power consumption, small networking and big line interference etc. Aim at these features, this paper proposes a new scheme of wireless meter reading based on GPRS, that is, the wireless communication module MC55 of SIMENS and STC89C58RD single chip are adopted as the core to develop a set of remote wireless meter reading system. The paper mainly introduces the overall design of the system, the hardware circuit and software design of each component, and the major software flow chart is given. The system has the characteristic of low cost, low power consumption, ad-Hoc network, self adaption, etc, and it has the strong portability and compatibility. Field test results show that the wireless meter reading system can finish the data collection and transmission task quickly and accurately, and has strong anti-interference ability and wide applicability.

  5. 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...

  6. 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.

  7. Evaluating Land-Atmosphere Coupling Strength Over CONUS Using Satellite-based Remote Sensing

    Science.gov (United States)

    Wood, E. F.; Ferguson, C.

    2008-12-01

    Understanding the coupling strength between land and its overlying boundary layer is important to establishing the role of the surface state in boundary layer development and related processes. Much of our current understanding has resulted from model diagnostics carried out by Alan K. Betts using the European Center's (ECMWF) forecast and reanalysis model outputs. Other model based analysis under the GEWEX Land Atmospheric Coupling Experiments (GLACE), lead by Randy Koster, has suggested that models with strong coupling have inferred "hot spots" that imply enhanced predictability of seasonal precipitation. Other analysis (Mitchell, personal communication) suggests that models with strong coupling fail to represent the observed diurnal cycle of precipitation across the central U.S. Dirmeyer et al. in 2006 compared the coupling strength (using Betts" measure that relates surface soil moisture to the lifting condensation level (LCL) pressure) for a number of models from the GLACE experiment, which showed a wide range of strength. This presentation utilizes space-based remote sensing (RS) observations to estimate the strength of warm season land-atmosphere coupling over the continental US. The remote sensing products are derived from the suite of sensors on-board NASA Aqua, including AMSR-E (soil moisture), AIRS (relative humidity, air temperature, skin temperature), MODIS (LAI, NDVI), and CERES (radiation). The relative strength of coupling is quantified in terms of observational diagnostics set forth by the work of Alan Betts, based on his work with the ERA40 model output data set, and Fendall and Eltahir, based on radiosonde data. While the analysis covers the continental US (CONUS), emphasis is placed on the southern Great Plains where dense in-situ measurements enable direct comparison between coupling strengths obtained from ground observations and those from remote sensing, and a region that previous studies by Koster et al. have inferred to be a coupling "hot

  8. Intranet esimiesten tukena HR-prosesseissa Finnkino Oy:ssä

    OpenAIRE

    Hämäläinen, Tuuli

    2013-01-01

    Esimiestyö vaatii paljon tietoa ja taitoa. Esimies törmää päivittäisessä johtamisessa koko ajan eri HR-proseseihin. HR-asiantuntijat ovat prosesseissa esimiesten tukena ja apuna. Intranet tarjoaa kätevän ja mielekkään väylän sekä tiedotukselle että vuorovaikutukselle. HR-asiantuntijat pitävät yllä intranetiä, jossa on esimiehelle tarvittavat tiedot ja työkalut HR-prosesseihin liittyen. Tämän opinnäytetyön tarkoituksena on selvittää, kuinka esimiestyötä voidaan tukea HR-prosesseissa intran...

  9. Water Extraction in High Resolution Remote Sensing Image Based on Hierarchical Spectrum and Shape Features

    International Nuclear Information System (INIS)

    This paper addresses the problem of water extraction from high resolution remote sensing images (including R, G, B, and NIR channels), which draws considerable attention in recent years. Previous work on water extraction mainly faced two difficulties. 1) It is difficult to obtain accurate position of water boundary because of using low resolution images. 2) Like all other image based object classification problems, the phenomena of ''different objects same image'' or ''different images same object'' affects the water extraction. Shadow of elevated objects (e.g. buildings, bridges, towers and trees) scattered in the remote sensing image is a typical noise objects for water extraction. In many cases, it is difficult to discriminate between water and shadow in a remote sensing image, especially in the urban region. We propose a water extraction method with two hierarchies: the statistical feature of spectral characteristic based on image segmentation and the shape feature based on shadow removing. In the first hierarchy, the Statistical Region Merging (SRM) algorithm is adopted for image segmentation. The SRM includes two key steps: one is sorting adjacent regions according to a pre-ascertained sort function, and the other one is merging adjacent regions based on a pre-ascertained merging predicate. The sort step is done one time during the whole processing without considering changes caused by merging which may cause imprecise results. Therefore, we modify the SRM with dynamic sort processing, which conducts sorting step repetitively when there is large adjacent region changes after doing merging. To achieve robust segmentation, we apply the merging region with six features (four remote sensing image bands, Normalized Difference Water Index (NDWI), and Normalized Saturation-value Difference Index (NSVDI)). All these features contribute to segment image into region of object. NDWI and NSVDI are discriminate between water and

  10. 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 Yida; LI Jing

    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.

  11. 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

  12. 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

  13. Remotely amplified combined ring-tree dense access network architecture using reflective RSOA-based ONU

    Science.gov (United States)

    Lazaro, Jose A.; Bock, Carlos; Polo, Victor; Martinez, Reynaldo I.; Prat, Josep

    2007-06-01

    A highly scalable access architecture achieving high density and featuring resiliency, centralized light-generation control, remote amplification, and colorless optical network unit with reflective semiconductor optical amplifier (RSOA) for upstream modulation is presented and experimentally demonstrated. It is based on a user-single-fiber completely passive outside plant and provides broadband connections to >1000 users distributed along large distances. It is believed to represent an intermediate step toward metro-access convergence and offers flexible configurations covering high- and low-density population areas.

  14. Development of an OPC and PLC Based Remote-Access Laboratory: A Synchronous Motor Control Experiment

    OpenAIRE

    VADI, Seyfettin

    2015-01-01

    In this study, OPC and PLC based remote-access laboratory has been developed for synchronous motor control experiment. The monitoring and control of the parameters of synchronous motor has been realized using GPRS and Profi-Lab OPC Server through the visual programming language. In addition, S7-1200 CPU 1214 DC/DC/DC series PLC was used for control of the system. The motor parameters monitored in real-time by the user to visually is shown the effect of any change in the parameters of the moto...

  15. 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.

  16. Remote monitoring and diagnostics of devices based on distributed database system

    Directory of Open Access Journals (Sweden)

    Jarosław FABIJAŃSKI

    2008-01-01

    Full Text Available The paper provides an overview of the problems connected with remote monitoring and diagnostics of rail signalling devices which are both distributed over a large area as well as highly diversified in terms of scope and format of the information that is made available. A diagnostic system, based on a distributed, relational database and a wireless data transmission system, has been presented in this paper as a solution to these problems. Moreover, the paper provides a description of the advantages of the solution in question that manifest themselves in the data collection, transmission, processing and presentation.

  17. 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.

  18. The visual and remote analyzing software for a Linux-based radiation information acquisition system

    International Nuclear Information System (INIS)

    A visual and remote analyzing software for the radiation information, which has the merit of universality and credibility, is developed based on the Linux operating system and the TCP/IP network protocol. The software is applied to visually debug and real time monitor of the high-speed radiation information acquisition system, and a safe, direct and timely control can assured. The paper expatiates the designing thought of the software, which provides the reference for other software with the same purpose for the similar systems

  19. 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. PMID:26349803

  20. 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.

  1. 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.

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

    Science.gov (United States)

    Sarna, Karolina; Russchenberg, Herman W. J.

    2016-03-01

    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 measurements from a lidar, a radar and a radiometer, which allow us 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 case studies were chosen from the Atmospheric Radiation Measurement (ARM) Program deployment on Graciosa Island, Azores, Portugal, in 2009 to present the method. We use the cloud droplet effective radius (re) to represent cloud microphysical properties and an integrated value of the attenuated backscatter coefficient (ATB) below the cloud to represent the aerosol concentration. All data from each case study are divided into bins of the liquid water path (LWP), each 10 g m-2 wide. For every LWP bin we present the correlation coefficient between ln re and ln ATB, as well as ACIr (defined as ACIr = -d ln re/d ln ATB, change in cloud droplet effective radius with aerosol concentration). Obtained values of ACIr are in the range 0.01-0.1. We show that ground-based remote sensing instruments used in synergy can efficiently and continuously monitor aerosol-cloud interactions.

  3. 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.

  4. 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

  5. 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

  6. 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.

  7. What If You Gave an Online Party and Everyone Logged In? Or, How I Stopped Worrying and Learned To Love Intranets.

    Science.gov (United States)

    Solomon, Marc

    1997-01-01

    Information professionals have a role to play in building Intranets. Discusses competencies required of information professionals: competitive intelligence, information searching, sound information practices, teaching search strategies, cost containment, content procurement, content management, knowledge management, and timely decision making.…

  8. 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.

  9. A Simple Model for Estimating Evapotranspiration Based Solely on Remote Sensing: Algorithm and Application

    Science.gov (United States)

    Sun, Z.; Wang, Q.; Matsushita, B.; Fukushima, T.; Ouyang, Z.; Gebremichael, M.

    2009-12-01

    Remote sensing (RS) has been considered as the most promising tool for evapotranspiration (ET) estimations from local, regional to global scales. Many studies have been conducted to estimated ET using RS data, however, most of them are based partially on ground observations. This limits the applications of these algorithms when the necessary data are unavailable. Some other algorithms can generate real-time ET solely using remote sensing data, but lack mechanistic realism. In our study, we developed a new dual-source Simple Remote Sensing EvapoTranspiration model (Sim-ReSET) based only on RS data. One merit of this model is that the calculation of aerodynamic resistance can be avoided by means of a reference dry bare soil and an assumption that wind speed at the upper boundary of atmospheric surface layer is homogenous, but the aerodynamic characters are still considered by means of canopy height. The other merit is that all inputs (net radiation, soil heat flux, canopy height, variables related to land surface temperature) can be potentially obtained from remote sensing data, which allows obtaining regular RS-driven ET product. For the purposes of sensitivity analysis and performance evaluation of the Sim-ReSET model without the effect of potential uncertainties and errors from remote sensing data, the Sim-ReSET model was tested only using intensive ground observations at the Yucheng ecological station in the North China Plain from 2006 to 2008. Results show that the model has a good performance for instantaneous ET estimations with a mean absolute difference (MAD) of 34.27 W/m2 and a root mean square error (RMSE) of 41.84 W/m2 under neutral or near-neutral atmospheric conditions. On 12 cloudless days, the MAD of daily ET accumulated from instantaneous estimations is 0.26 mm/day, and the RMSE is 0.30 mm/day. In our study, we mapped Asian 16-day ET from 2000 to 2009 only using MODIS land data products based on the Sim-ReSET model. Then, the obtained ET product was

  10. Quantifying Stream Habitat: Relative Effort Versus Quality of Competing Remote Sensing & Ground-Based Survey Techniques

    Science.gov (United States)

    Bangen, S. G.; Wheaton, J. M.; Bouwes, N.

    2010-12-01

    Numerous field and analytical methods exist to assist in the quantification of the quantity and quality of in-stream habitat for salmonids. These methods range from field sketches or ‘tape and stick’ ground-based surveys, through to spatially explicit topographic and aerial photographic surveys from a mix of ground-based and remotely sensed airborne platforms. Although some investigators have assessed the quality of specific individual survey methods, the inter-comparison of competing techniques across a diverse range of habitat conditions (wadeable headwater channels to non-wadeable mainstem channels) has not yet been elucidated. In this study, we seek to quantify relative quality (i.e. accuracy, precision, extent) of habitat metrics and inventories derived from different ground-based and remotely sensed surveys of varying degrees of sophistication, as well as enumerate the effort and cost in completing the surveys. Over the summer of 2010, seven sample reaches of varying habitat complexity were surveyed in the Lemhi River Basin, Idaho, USA. Three different traditional (“stick and tape”) survey techniques were used, including a variant using map-grade GPS. Complete topographic/bathymetric surveys were attempted at each site using separate rtkGPS, total station, ground-based LiDaR, boat-based echo-sounding (w/ ADCP), traditional airborne LiDaR, and imagery-based spectral methods. Separate, georectified aerial imagery surveys were acquired using a tethered blimp, a drone UAV, and a traditional fixed-wing aircraft. Preliminary results from the surveys highlight that no single technique works across the full range of conditions where stream habitat surveys are needed. The results are helpful for understanding the strengths and weaknesses of each approach in specific conditions, and how a hybrid of data acquisition methods can be used to build a more complete quantification of habitat conditions in rivers.

  11. 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.

  12. 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.

  13. 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

  14. Evaluation method of water quality for river based on multi-spectral remote sensing data

    Science.gov (United States)

    Xiao, X.; Jian, X.; Xiongfei, W.; Chengfang, H.; Xuejun, C.; Zhaohui, W.; Dengzhong, Z.

    2015-04-01

    With the rapid development of the regional economy, water pollution has gradually become an environmental problem that cannot be ignored. As an important water source in central China, the Han River should strengthen water quality monitoring and management in order to ensure the sustainable development of watershed and related areas. Taking typical sections of middle and lower reaches of the Han River as the study area, this paper focuses on rapid river water quality assessment using multispectral remote sensing images. Based on measured water quality data and synchronous spatial high and medium-resolution remote sensing data (multi-spectral data of ZY3 and HJ1A) in 2013, neural network algorithm is used to establish water quality index retrieval model for the study area, and then water quality status is assessed accordingly. The results show that BP neural network retrieval model of water quality index that is established based on multispectral data of ZY3 satellite has higher accuracy and that its assessment results are of high credibility and strong applicability, which can really reflect changes in water quality and better achieve water quality assessment for the study area. In addition, water quality assessment results show that major excessive factors in the study area are total nitrogen and total phosphorus; the polluting type is organic pollution; water quality varies greatly with seasons.

  15. 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

  16. A remote quantitative Fugl-Meyer assessment framework for stroke patients based on wearable sensor networks.

    Science.gov (United States)

    Yu, Lei; Xiong, Daxi; Guo, Liquan; Wang, Jiping

    2016-05-01

    To extend the use of wearable sensor networks for stroke patients training and assessment in non-clinical settings, this paper proposes a novel remote quantitative Fugl-Meyer assessment (FMA) framework, in which two accelerometer and seven flex sensors were used to monitoring the movement function of upper limb, wrist and fingers. The extreme learning machine based ensemble regression model was established to map the sensor data to clinical FMA scores while the RRelief algorithm was applied to find the optimal features subset. Considering the FMA scale is time-consuming and complicated, seven training exercises were designed to replace the upper limb related 33 items in FMA scale. 24 stroke inpatients participated in the experiments in clinical settings and 5 of them were involved in the experiments in home settings after they left the hospital. Both the experimental results in clinical and home settings showed that the proposed quantitative FMA model can precisely predict the FMA scores based on wearable sensor data, the coefficient of determination can reach as high as 0.917. It also indicated that the proposed framework can provide a potential approach to the remote quantitative rehabilitation training and evaluation. PMID:27040835

  17. 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

  18. Soil water content estimation using a remote sensing based hybrid evapotranspiration modeling approach

    Science.gov (United States)

    Remote sensing of evapotranspiration (ET) has evolved over the last 20 years with the development of more robust energy balance approaches and the availability of timely remotely sensed imagery from satellite sensors. This has allowed the use of remote sensing for near-real time water management in...

  19. 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.

  20. 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.

  1. 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

  2. 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

  3. 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

  4. A radial basis function neural network based on artificial immune systems for remote sensing image classification

    Science.gov (United States)

    Yan, Qin; Zhong, Yanfei

    2008-12-01

    The radial basis function (RBF) neural network is a powerful method for remote sensing image classification. It has a simple architecture and the learning algorithm corresponds to the solution of a linear regression problem, resulting in a fast training process. The main drawback of this strategy is the requirement of an efficient algorithm to determine the number, position, and dispersion of the RBF. Traditional methods to determine the centers are: randomly choose input vectors from the training data set; vectors obtained from unsupervised clustering algorithms, such as k-means, applied to the input data. These conduce that traditional RBF neural network is sensitive to the center initialization. In this paper, the artificial immune network (aiNet) model, a new computational intelligence based on artificial immune networks (AIN), is applied to obtain appropriate centers for remote sensing image classification. In the aiNet-RBF algorihtm, each input pattern corresonds to an antigenic stimulus, while each RBF candidate center is considered to be an element, or cell, of the immune network model. The steps are as follows: A set of candidate centers is initialized at random, where the initial number of candidates and their positions is not crucial to the performance. Then, the clonal selection principle will control which candidates will be selected and how they will be upadated. Note that the clonal selection principle will be responsible for how the centers will represent the training data set. Finally, the immune network will identify and eliminate or suppress self-recognizing individuals to control the number of candidate centers. After the above learning phase, the aiNet network centers represent internal images of the inuput patterns presented to it. The algorithm output is taken to be the matrix of memory cells' coordinates that represent the final centers to be adopted by the RBF network. The stopping criterion of the proposed algorithm is given by a pre

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Fusion of remote sensing images based on pyramid decomposition with Baldwinian Clonal Selection Optimization

    Science.gov (United States)

    Jin, Haiyan; Xing, Bei; Wang, Lei; Wang, Yanyan

    2015-11-01

    In this paper, we put forward a novel fusion method for remote sensing images based on the contrast pyramid (CP) using the Baldwinian Clonal Selection Algorithm (BCSA), referred to as CPBCSA. Compared with classical methods based on the transform domain, the method proposed in this paper adopts an improved heuristic evolutionary algorithm, wherein the clonal selection algorithm includes Baldwinian learning. In the process of image fusion, BCSA automatically adjusts the fusion coefficients of different sub-bands decomposed by CP according to the value of the fitness function. BCSA also adaptively controls the optimal search direction of the coefficients and accelerates the convergence rate of the algorithm. Finally, the fusion images are obtained via weighted integration of the optimal fusion coefficients and CP reconstruction. Our experiments show that the proposed method outperforms existing methods in terms of both visual effect and objective evaluation criteria, and the fused images are more suitable for human visual or machine perception.

  10. Multi-source remote sensing image fusion classification based on DS evidence theory

    Science.gov (United States)

    Liu, Chunping; Ma, Xiaohu; Cui, Zhiming

    2007-11-01

    A new adaptive remote sensing image fusion classification based on the Dempster-Shafer theory of evidence is presented. This method uses a limited number of prototypes as items of evidence, which is automatically generated by modified Fuzzy Kohonen Clustering Network (FKCN). The class fuzzy membership of each prototype is also determined using reference pattern set. For each input vector a basic probability assignment (BPA) function are computed based on these distances and on the degree of membership of prototypes to each class. And lastly this evidence is combined using Dempster's rule. This proposed method can be implemented in a modified FKCN with specific architecture consisting of one input layer, a prototype layer, a BPA layer, a combination and output layer, and decision layer. The experimental results show that the excellent performance of classification as compared to existing FKCN and basic DS fusion techniques.

  11. Model based Analysis of Two-Alternative Decision Errors in a Videopanorama-based Remote Control Tower Work Position

    OpenAIRE

    Fürstenau, Norbert; Friedrich, Maik; Mittendorf, Monika

    2014-01-01

    Remote Control Tower operation (RTO) for airport ground traffic control without the need for a local physical tower building is presently in the transition phase from research to the prototype with testing in the operational environment(e.g.[1][2][3][4][5]). State of the art technology is based on a digital videopanorama with HD-format camera technology, e.g. 4 - 5 cameras (focal width of 8 – 13 mm) with 45 - 60° vertical field-of-view for a 180° - 200° horizontal panorama. It is presently l...

  12. An Object-Based Method for Estimation of River Discharge from Remotely-Sensed Imagery

    Science.gov (United States)

    Burgett, D. A.; Blesius, L.; Davis, J. D.

    2010-12-01

    High resolution satellite and aerial imagery of fluvial systems contain much information about planform river channel features. However, not much is known about how these forms quantitatively related to river channel process, specifically, discharge. This research explores methods for remote image-based river discharge estimation through Object-Based Image Processing (OBIA) and GIS techniques. Previous efforts in image-based discharge estimation have relied primarily on manual delineation of river features and the input of reach-averaged values of these features into statistically based models for estimation. In addition to analyzing OBIA techniques for channel feature delineation and measurement, this approach investigates techniques of discharge estimation model design, validation, and correction along a reach, utilizing variation in “standard” channel features (e.g. water surface width), along with less tangible channel feature metrics derived from OBIA. Rather than predefine the channel unit of analysis, this work also considers the accuracy of model parameters derived from a range of channel scales, from longer reach-averaged to cross-sectional. High resolution (1 m) color infrared orthoimagery from 2005 and 2009 National Agricultural Inventory Program (NAIP) of 50 river reaches (ranging in discharge from approximately 13 m3s-1 to 856 m3s-1) were utilized for this analysis. These reaches, all near United States Geological Survey (USGS) river gages in California, USA, were split randomly and evenly into 25 reaches each for model design and validation, respectively. This approach allows better isolation of error resulting from user bias in channel feature measurement, and moves toward a more precise, standardized system of measurement for remotely observable channel form.

  13. 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

  14. 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.

  15. 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.

  16. 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.

  17. Remote sensing and monitor system for a large poultry farm based on Internet

    Science.gov (United States)

    Bai, Hongwu; Teng, Guanghui; Ma, Liang; Li, Zhizhong; Yuan, Zhengdong; Li, Minzan; Yang, Xiuslayerg

    2005-09-01

    A remote sensing and monitor system for a large poultry layer farm is developed based on distributed data acquisition and internet control. The supervising system applied patent techniques known as arc orbit movable vidicon, wireless video transmission and telecommunications. It features supervising at all orientations, and digital video telecommunicating through internet. All measured and control information is sent to a central computer, which is in charge of storing, displaying, analyzing and serving to internet, where managers can monitor real time production scene anywhere and customers can also see the healthy layers through internet. This paper primarily discusses how to design the remote sensing and monitor system (RSMS), and its usage in a large poultry farm, Deqingyuan Healthy Breeding Ecological Garden, Yanqing County, Beijing, China. The system applied web service technology and the middleware using XML language and Java language. It preponderated in data management, data exchange, expansibility, security, and compatibility. As a part of poultry sustainable development management system, it has been applied in a large farm with 1,200,000 layers. Tests revealed that there was distinct decline in the death ratio of chicken with 2. 2%, as the surroundings of layers had been ameliorated. At the same time, there was definite increase in the laying ratio with 3. 5%.

  18. 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.

  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. 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

  1. 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

  2. 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.

  3. 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

  4. Development of a Remote-Sensing Based Framework for Mapping Drought over North America

    Science.gov (United States)

    Hain, C.; Anderson, M. C.; Zhan, X.; Gao, F.; Svoboda, M.; Wardlow, B.; Mladenova, I. E.

    2012-12-01

    This presentation will address the development of a multi-scale drought monitoring tool for North America based on remotely sensed estimates of evapotranspiration. The North American continent represents a broad range in vegetation and climate conditions, from the boreal forests in Canada to the arid deserts in Mexico. This domain also encompasses a range in constraints limiting vegetation growth, with a gradient from radiation/energy limitation in the north to moisture limits in the south. This feasibility study over NA will provide a valuable test bed for future implementation world-wide in support of proposed global drought monitoring and early warning efforts. The Evaporative Stress Index (ESI) represents anomalies in the ratio of actual-to-potential ET (fPET), generated with the thermal remote sensing based Atmosphere-Land Exchange Inverse (ALEXI) surface energy balance model and associated disaggregation algorithm, DisALEXI demonstrated that ESI maps over the continental US (CONUS) show good correspondence with standard drought metrics and with patterns of antecedent precipitation, but can be generated at significantly higher spatial resolution due to a limited reliance on ground observations. Unique behavior is observed in the ESI in regions where the evaporative flux is enhanced by moisture sources decoupled from local rainfall, for example in areas where drought impacts are being mitigated by intense irrigation or shallow water tables. As such, the ESI is a measure of actual stress rather than potential for stress, and has physical relevance to projected crop development. Because precipitation is not used in construction of the ESI, this index provides an independent assessment of drought conditions and will have particular utility for real-time monitoring in regions with sparse rainfall data or significant delays in meteorological reporting. The North American ESI product will be quantitatively compared with spatiotemporal patterns in the NADM, and with

  5. Comparison of Soft Computing Approaches for Texture Based Land Cover Classification of Remotely Sensed Image

    Directory of Open Access Journals (Sweden)

    S. Jenicka

    2015-08-01

    Full Text Available Texture feature is a predominant feature in land cover classification of remotely sensed images. In this study, texture features were extracted using the proposed multivariate descriptor, Multivariate Ternary Pattern (MTP. The soft classifiers such as Fuzzy k-Nearest Neighbor (Fuzzy k-NN, Support Vector Machine (SVM and Extreme Learning Machine (ELM were used along with the proposed multivariate descriptor for performing land cover classification. The experiments were conducted on IRS P6 LISS-IV data and the results were evaluated based on error matrix, classification accuracy and Kappa statistics. From the experiments, it was found that the proposed descriptor with SVM classifier gave 93.04% classification accuracy.

  6. 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...

  7. 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.

  8. 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.

  9. The Exploration and Evaluation of Petroleum Resource based on Remote Sensing Technology

    Science.gov (United States)

    Shengwei, Sun

    This paper presents a new method to detect and analyze the sea oil-gas percolation cause slicks offshore oil accumulation has been developed. This approach, using remote sensing radar technology and geophysical exploration technique is presented based on the oil-gas percolation theory. In this study, synthetic aperture radar data is the main data sources. These data all help set gravity data from satellite altimeter data, geophysical abnormal data from air magnetic data, oil prices, geological data and contain basin. By using the geographic information system, oil and gas accumulated promising region of the model. This method for the exploration and evaluation for offshore oil accumulation has been applied to two study area: China's sea basin mouth, pearl river basin. Through comparing the drilling results and relevant materials, our results show that the comprehensive application of this method is very effective.

  10. A robust anomaly based change detection method for time-series remote sensing images

    International Nuclear Information System (INIS)

    Time-series remote sensing images record changes happening on the earth surface, which include not only abnormal changes like human activities and emergencies (e.g. fire, drought, insect pest etc.), but also changes caused by vegetation phenology and climate changes. Yet, challenges occur in analyzing global environment changes and even the internal forces. This paper proposes a robust Anomaly Based Change Detection method (ABCD) for time-series images analysis by detecting abnormal points in data sets, which do not need to follow a normal distribution. With ABCD we can detect when and where changes occur, which is the prerequisite condition of global change studies. ABCD was tested initially with 10-day SPOT VGT NDVI (Normalized Difference Vegetation Index) times series tracking land cover type changes, seasonality and noise, then validated to real data in a large area in Jiangxi, south of China. Initial results show that ABCD can precisely detect spatial and temporal changes from long time series images rapidly

  11. 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.

  12. 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.

  13. 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.

  14. REMOTE-SENSING-BASED BIOPHYSICAL MODELS FOR ESTIMATING LAI OF IRRIGATED CROPS IN MURRY DARLING BASIN

    Directory of Open Access Journals (Sweden)

    I. Wittamperuma

    2012-07-01

    Full Text Available Remote sensing is a rapid and reliable method for estimating crop growth data from individual plant to crops in irrigated agriculture ecosystem. The LAI is one of the important biophysical parameter for determining vegetation health, biomass, photosynthesis and evapotranspiration (ET for the modelling of crop yield and water productivity. Ground measurement of this parameter is tedious and time-consuming due to heterogeneity across the landscape over time and space. This study deals with the development of remote-sensing based empirical relationships for the estimation of ground-based LAI (LAIG using NDVI, modelled with and without atmospheric correction models for three irrigated crops (corn, wheat and rice grown in irrigated farms within Coleambally Irrigation Area (CIA which is located in southern Murray Darling basin, NSW in Australia. Extensive ground truthing campaigns were carried out to measure crop growth and to collect field samples of LAI using LAI- 2000 Plant Canopy Analyser and reflectance using CROPSCAN Multi Spectral Radiometer at several farms within the CIA. A Set of 12 cloud free Landsat 5 TM satellite images for the period of 2010-11 were downloaded and regression analysis was carried out to analyse the co-relationships between satellite and ground measured reflectance and to check the reliability of data sets for the crops. Among all the developed regression relationships between LAI and NDVI, the atmospheric correction process has significantly improved the relationship between LAI and NDVI for Landsat 5 TM images. The regression analysis also shows strong correlations for corn and wheat but weak correlations for rice which is currently being investigated.

  15. 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.

  16. 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.

  17. Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance

    Directory of Open Access Journals (Sweden)

    Magali Odi-Lara

    2016-03-01

    Full Text Available The main goal of this research was to estimate the actual evapotranspiration (ETc of a drip-irrigated apple orchard located in the semi-arid region of Talca Valley (Chile using a remote sensing-based soil water balance model. The methodology to estimate ETc is a modified version of the Food and Agriculture Organization of the United Nations (FAO dual crop coefficient approach, in which the basal crop coefficient (Kcb was derived from the soil adjusted vegetation index (SAVI calculated from satellite images and incorporated into a daily soil water balance in the root zone. A linear relationship between the Kcb and SAVI was developed for the apple orchard Kcb = 1.82·SAVI − 0.07 (R2 = 0.95. The methodology was applied during two growing seasons (2010–2011 and 2012–2013, and ETc was evaluated using latent heat fluxes (LE from an eddy covariance system. The results indicate that the remote sensing-based soil water balance estimated ETc reasonably well over two growing seasons. The root mean square error (RMSE between the measured and simulated ETc values during 2010–2011 and 2012–2013 were, respectively, 0.78 and 0.74 mm·day−1, which mean a relative error of 25%. The index of agreement (d values were, respectively, 0.73 and 0.90. In addition, the weekly ETc showed better agreement. The proposed methodology could be considered as a useful tool for scheduling irrigation and driving the estimation of water requirements over large areas for apple orchards.

  18. 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.

  19. 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

  20. 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.

  1. 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. PMID:22491096

  2. 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 

  3. Sunkoshi landslide in Nepal and its possible impact in India: A remote sensing based appraisal

    Science.gov (United States)

    Champati ray, P. K.; Chattoraj, S. L.

    2014-12-01

    A devastating landslide that killed at least 156 people occurred on the right bank of Sunkoshi river at village Jure, 70 km northeast of Kathmandu in Nepal. It not only affected hydroelectric projects in the near vicinity but also had potential to flood large tracts of downstream area in Nepal and north Bihar. Timely action by Nepal Army and Indian authorities have averted a major disaster but satellite data analysis (using IRS Resourcesat-2 LISS IV, WorldView-2, RISAT-1, Radarsat-2 etc.) reveal that the site was easily identifiable on satellite image as a potential landslide zone that has been affected by landslide related mass wasting in the past. It was reactivated and intermittently slided during 2000-2012 and finally when the whole mass came down on 2nd August 2014 pushing materials up to the opposite slope, a landslide dammed lake was formed on Sunkoshi river which extended up to a distance of 2.5-3 km as observed on 5-6th August on satellite images and the volume was estimated to be around 8.26-10.5 MCM, which needs to be released safely to avert any further disaster. Attempt is made to simulate the event to assess the run out and debris thickness using process based model. Satellite observation (using IRS Resourcesat-2 LISS IV, WorldView-2, RISAT-1, Radarsat-2 etc.), aided by hydrological data obtained through telemetry immensely helped to assess the landslide dimension, lake extent, volume, discharge, water level and travel time of water in Sunkoshi river. But the question remains how to manage the large amount of debris that Sunkoshi brings to its downstream areas causing river aggradations that eventually increases the flood risk. In such situations, the most immediate landslide remedial measures are four fold: monitoring of landslide, dam and reservoir using remote sensing and hydrological observations, controlled release of water, water discharge management at Kosi barrage and mechanism/preparedness for evacuation. The Sunkoshi landslide has brought to

  4. Remote Sensing Classification Method of Wetland Based on AN Improved Svm

    Science.gov (United States)

    Lin, Y.; Shen, M.; Liu, B.; Ye, Q.

    2013-08-01

    The increase of population and economic development, especial the land use and urbanization bring the wetland resource a huge pressure and a serious consequence of a sharp drop in the recent years. Therefore wetland eco-environment degradation and sustainable development have become the focus of wetland research. Remote sensing technology has become an important means of environment dynamic monitoring. It has practical significance for wetland protection, restoration and sustainable utilization by using remote sensing technology to develop dynamic monitoring research of wetland spatial variation pattern. In view of the complexity of wetland information extraction performance of the SVM classifier, this paper proposes a feature weighted SVM classifier using mixed kernel function. In order to ensure the high-accuracy of the classification result, the feature spaces and the interpretation keys are constructed by the properties of different data. We use the GainRatio (featurei) to build the feature weighted parameter h and test the different kernel functions in SVM. Since the different kernel functions can influence fitting ability and prediction accuracy of SVM and the categories are more easily discriminated by the higher GainRatio, we introduce feature weighted ω calculated by GainRatio to the model. Accordingly we developed an improved model named "Feature weighted & Mixed kernel function SVM" based on a series of experiments. Taking the east beach of Chongming Island in Shanghai as case study, the improved model shows superiority of extensibility and stability in comparison with the classification results of the experiments applying the Minimum Distance classification, the Radial Basis Function of SVM classification and the Polynomial Kernel function of SVM classification with the use of Landsat TM data of 2009. This new model also avoids the weak correlation or uncorrelated characteristics' domination and integrates different information sources effectively to

  5. Coagulation factor concentrate-based therapy for remote damage control resuscitation (RDCR): a reasonable alternative?

    Science.gov (United States)

    Maegele, Marc

    2016-04-01

    The concept of remote damage control resuscitation (RDCR) is still in its infancy and there is significant work to be done to improve outcomes for patients with life-threatening bleeding secondary to injury. The prehospital phase of resuscitation is critical and if shock and coagulopathy can be rapidly minimized before hospital admission this will very likely reduce morbidity and mortality. The optimum transfusion strategy for these patients is still highly debated and the potential implications of the recently published pragmatic, randomize, optimal platelet, and plasma ratios trial (PROPPR) for RDCR have been reviewed. Identifying the appropriate transfusion strategy is mandatory before adopting prehospital hemostatic resuscitation strategies. An alternative approach is based on the early administration of coagulation factor concentrates combined with the antifibrinolytic tranexamic acid (TXA). The three major components to this approach in the context of RDCR target the following steps to achieve hemostasis: 1) stop (hyper)fibrinolysis; 2) support clot formation; and 3) increase thrombin generation. Strong evidence exists for the use of TXA. The data from the prospective fibrinogen in trauma induced coagulopathy (FIinTIC) study will inform on the prehospital use of fibrinogen in bleeding trauma patients. Deficits in thrombin generation may be addressed by the administration of prothrombin complex concentrates. Handheld point-of-care devices may be able to support and guide the prehospital and remote use of intravenous hemostatic agents including coagulation factor concentrates along with clinical presentation, assessment, and the extent of bleeding. Combinations may even be more effective for bleeding control. More studies are urgently needed. PMID:27100752

  6. 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.

  7. 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.

  8. 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.

  9. 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

  10. 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.

  11. 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.

  12. Embedded DSP-based telehealth radar system for remote in-door fall detection.

    Science.gov (United States)

    Garripoli, Carmine; Mercuri, Marco; Karsmakers, Peter; Jack Soh, Ping; Crupi, Giovanni; Vandenbosch, Guy A E; Pace, Calogero; Leroux, Paul; Schreurs, Dominique

    2015-01-01

    Telehealth systems and applications are extensively investigated nowadays to enhance the quality-of-care and, in particular, to detect emergency situations and to monitor the well-being of elderly people, allowing them to stay at home independently as long as possible. In this paper, an embedded telehealth system for continuous, automatic, and remote monitoring of real-time fall emergencies is presented and discussed. The system, consisting of a radar sensor and base station, represents a cost-effective and efficient healthcare solution. The implementation of the fall detection data processing technique, based on the least-square support vector machines, through a digital signal processor and the management of the communication between radar sensor and base station are detailed. Experimental tests, for a total of 65 mimicked fall incidents, recorded with 16 human subjects (14 men and two women) that have been monitored for 320 min, have been used to validate the proposed system under real circumstances. The subjects' weight is between 55 and 90 kg with heights between 1.65 and 1.82 m, while their age is between 25 and 39 years. The experimental results have shown a sensitivity to detect the fall events in real time of 100% without reporting false positives. The tests have been performed in an area where the radar's operation was not limited by practical situations, namely, signal power, coverage of the antennas, and presence of obstacles between the subject and the antennas. PMID:25291803

  13. 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.

  14. 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.

  15. 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

  16. 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

  17. Remote sensing of evapotranspiration over crops using combined airborne and ground-based observations

    Science.gov (United States)

    Remote sensing of evapotranspiration (ET) over crops could be valuable for managing scarce water resources, especially for irrigated lands. In the past decade remote sensing techniques have advanced to allow frequent estimation of ET at spatial scales useful for many farms. These techniques include ...

  18. 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

  19. Terrestrial Remotely Sensed Imagery in Support of Public Health: New Avenues of Research Using Object-Based Image Analysis

    Directory of Open Access Journals (Sweden)

    Kevin Koy

    2011-10-01

    Full Text Available The benefits of terrestrial remote sensing in the environmental sciences are clear across a range of applications, and increasingly remote sensing analyses are being integrated into public health research. This integration has largely been in two areas: first, through the inclusion of continuous remote sensing products such as normalized difference vegetation index (NDVI or moisture indices to answer large-area questions associated with the epidemiology of vector-borne diseases or other health exposures; and second, through image classification to map discrete landscape patches that provide habitat to disease-vectors or that promote poor health. In this second arena, new improvements in object-based image analysis (or “OBIA” can provide advantages for public health research. Rather than classifying each pixel based on its spectral content alone, the OBIA approach first segments an image into objects, or segments, based on spatially connected pixels with similar spectral properties, and then these objects are classified based on their spectral, spatial and contextual attributes as well as by their interrelations across scales. The approach can lead to increases in classification accuracy, and it can also develop multi-scale topologies between objects that can be utilized to help understand human-disease-health systems. This paper provides a brief review of what has been done in the public health literature with continuous and discrete mapping, and then highlights the key concepts in OBIA that could be more of use to public health researchers interested in integrating remote sensing into their work.

  20. Tele-MFAsT: Kinect-Based Tele-Medicine Tool for Remote Motion and Function Assessment.

    Science.gov (United States)

    Kurillo, Gregorij; Han, Jay J; Nicorici, Alina; Bajcsy, Ruzena

    2014-01-01

    We present work-in-progress on framework for 3D Kinect-based remote motion and function assessment. Tele-MFAsT facilities streaming of data (video, depth, skeleton, and audio) from network-connected Microsoft Kinect cameras that can be utilized to observe a patient remotely during function assessment by a physician or therapist, measure motion trajectories, and joint angles, while taking advantage of tele-presence in a 3D virtual environment. The network architecture also allows for integration with wireless sensors in the future. In this paper we describe Tele-MFAsT application for upper-body range of motion measurements. PMID:24732509

  1. 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.

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

    Directory of Open Access Journals (Sweden)

    Wen-Jye Shyr

    2013-02-01

    Full Text Available 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 equipment from a remote location. Mechatronics control and long‐distance monitoring were realized by establishing communication between the PLC and WebAccess. Analytical results indicate that the proposed system is feasible. The suitability of this system is demonstrated in the department of industrial education and technology at National Changhua University of Education, Taiwan. Preliminary evaluation of the system was encouraging and has shown that it has achieved success in helping students understand concepts and master remote monitoring and control techniques.

  3. 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.

  4. 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.

  5. [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

  6. 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.

  7. 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.

  8. Base for a remote quality control system for magnetic resonance images machines

    International Nuclear Information System (INIS)

    The medical images systems convert characteristic of the tissues in gray levels or color, using a physical method and a specific mathematical transformation. In Magnetic Resonance Images (MRI) these levels have a multi-parametric dependence, this a reason of their strong presence in the daily clinical practice. This technological complexity, the high costs and the importance that have these study for the patient's life, confer to the Quality Control (QC) human, technological, economic and juridical implications. Several international groups dedicated to the QC in MRI and diversity of approaches to carry out the tests of acceptance and periodic control of the quality exist. The characterization is habitually carried out, with global methods that don't allow a detailed quantitative parametric study. A novel system of quantitative control was developed based on quantitative describers by slices and temporal. This system is formed for: 1) standard methodology of acquisition of the experimental data, 2) subsystem of functions and programs developed in MatLab, 3) subsystem of graphics and reports, and 4) the expert. It is used successfully in the characterization and the periodic control of MRI machines of several magnetic fields in Cuba and in Venezuela. They were defined and established quantitative descriptors for MRI machines. The software flexibility allows carry out the QC to any machine facilitating the standardization and its use in multi-center studies. The retrospective and predictive value of the system was demonstrated. They feel the bases for the remote realization of the test

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. A clinical evaluation of a remote mobility monitoring system based on SMS messaging.

    Science.gov (United States)

    Dalton, Anthony F; Ní Scanaill, Cliodhna; Carew, Sheila; Lyons, Declan; OLaighin, Gearóid

    2007-01-01

    The objective of this work was to evaluate the accuracy and viability of a mobility telemonitoring system, based on the short message service (SMS), to monitor the functional mobility of elderly subjects in an unsupervised environment. A clinical trial was conducted consisting of 6 elderly subjects; 3 male, 3 female (mean: 81.7, SD: 5.09). Mobility was monitored using an accelerometer based portable unit worn by each monitored subject for eleven hours. Every 15 minutes the mobility of the subject was summarized and transmitted as an SMS message from the portable unit to a remote server for long term analysis. The activPAL Trio Professional physical activity logger was simultaneously used for comparison with the portable unit. On conclusion of the trial each subject completed a questionnaire detailing their satisfaction with the portable unit and any recommendations for improvements. Overall a percentage difference of 2.31% was found between the activPAL Trio and the portable unit for the detection of sitting. For the combined postures of standing and walking the percentage difference was calculated as 2.9%. A bivariate correlation and regression analysis was performed on the entire data set of one subject. Strong positive correlation's were found for the detection of sitting (r = 0.996) and for the combined postures of standing and walking (r = 0.994). Subjects suggested that a lighter, smaller and wireless unit would be more effective. PMID:18002458

  14. 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.

  15. 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.

  16. A Whitening Transformation Based Approach to One-class Classification of Remote Sensing Imagery

    Directory of Open Access Journals (Sweden)

    BO Shukui

    2015-02-01

    Full Text Available In this study, a whitening transformation based approach to one-class classification of remote sensing imagery is investigated. Only positive data are required to train the one-class classifier. Firstly, the image data is mapped to a new feature space using the whitening processing with all directions of the class of interest. Then a threshold is selected to make a binary prediction. A heuristic method of threshold selection is performed in the experiment of one-class classification. A series of values are set to the threshold based on standard deviation, and perform the one-class classification with each threshold value. The experiment shows that high accuracy is achieved with the threshold range from 3 to 4 standard deviations of the mean. Finally, the results of one-class classification with the threshold of 3 standard deviations are compared to that of one-class support vector machine. The results indicate that the proposed method provides nearly the same accuracy of one-class classification as one-class support vector machine. The advantage of the proposed method is that it can use a constant threshold to extract various land types.

  17. 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.

  18. 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

  19. Phenology-based, remote sensing of post-burn disturbance windows in rangelands

    Science.gov (United States)

    Sankeya, Joel B.; Wallace, Cynthia S.A.; Ravi, Sujith

    2013-01-01

    Wildland fire activity has increased in many parts of the world in recent decades. Ecological disturbance by fire can accelerate ecosystem degradation processes such as erosion due to combustion of vegetation that otherwise provides protective cover to the soil surface. This study employed a novel ecological indicator based on remote sensing of vegetation greenness dynamics (phenology) to estimate variability in the window of time between fire and the reemergence of green vegetation. The indicator was applied as a proxy for short-term, post-fire disturbance windows in rangelands; where a disturbance window is defined as the time required for an ecological or geomorphic process that is altered to return to pre-disturbance levels. We examined variability in the indicator determined for time series of MODIS and AVHRR NDVI remote sensing data for a database of ∼100 historical wildland fires, with associated post-fire reseeding treatments, that burned 1990–2003 in cold desert shrub steppe of the Great Basin and Columbia Plateau of the western USA. The indicator-based estimates of disturbance window length were examined relative to the day of the year that fires burned and seeding treatments to consider effects of contemporary variability in fire regime and management activities in this environment. A key finding was that contemporary changes of increased length of the annual fire season could have indirect effects on ecosystem degradation, as early season fires appeared to result in longer time that soils remained relatively bare of the protective cover of vegetation after fires. Also important was that reemergence of vegetation did not occur more quickly after fire in sites treated with post-fire seeding, which is a strategy commonly employed to accelerate post-fire vegetation recovery and stabilize soil. Future work with the indicator could examine other ecological factors that are dynamic in space and time following disturbance – such as nutrient cycling

  20. Sampling strategies for estimating forest cover from remote sensing-based two-stage inventories

    Directory of Open Access Journals (Sweden)

    Piermaria Corona

    2015-06-01

    Full Text Available 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

  1. Web architecture for the remote browsing and analysis of distributed medical images and data.

    Science.gov (United States)

    Masseroli, M; Pinciroli, F

    2001-01-01

    To provide easy retrieval, integration and evaluation of multimodal medical images and data in a web browser environment, distributed application technologies and Java programming were used to develop a client-server architecture based on software agents. The server side manages secure connections and queries to heterogeneous remote databases and file systems containing patient personal and clinical data. The client side is a Java applet running in a web browser and providing a friendly medical user interface to perform queries on patient and medical test data and integrate and visualize properly the various query results. A set of tools based on Java Advanced Imaging API enables to process and analyze the retrieved bioimages, and quantify their features in different regions of interest. The platform-independence Java technology makes the developed prototype easy to be managed in a centralized form and provided in each site where an intranet or internet connection can be located. Giving the healthcare providers effective tools for browsing, querying, visualizing and evaluating comprehensively medical images and records in all locations where they can need them - e.g. emergency, operating theaters, ward, or even outpatient clinics- the implemented prototype represents an important aid in providing more efficient diagnoses and medical treatments. PMID:11604703

  2. 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

  3. 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.

  4. 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...

  5. 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

  6. Remote sensing and spatial analysis based study for detecting deforestation and the associated drivers

    Science.gov (United States)

    El-Abbas, Mustafa M.; Csaplovics, Elmar; Deafalla, Taisser H.

    2013-10-01

    Nowadays, remote-sensing technologies are becoming increasingly interlinked to the issue of deforestation. They offer a systematized and objective strategy to document, understand and simulate the deforestation process and its associated causes. In this context, the main goal of this study, conducted in the Blue Nile region of Sudan, in which most of the natural habitats were dramatically destroyed, was to develop spatial methodologies to assess the deforestation dynamics and its associated factors. To achieve that, optical multispectral satellite scenes (i.e., ASTER and LANDSAT) integrated with field survey in addition to multiple data sources were used for the analyses. Spatiotemporal Object Based Image Analysis (STOBIA) was applied to assess the change dynamics within the period of study. Broadly, the above mentioned analyses include; Object Based (OB) classifications, post-classification change detection, data fusion, information extraction and spatial analysis. Hierarchical multi-scale segmentation thresholds were applied and each class was delimited with semantic meanings by a set of rules associated with membership functions. Consequently, the fused multi-temporal data were introduced to create detailed objects of change classes from the input LU/LC classes. The dynamic changes were quantified and spatially located as well as the spatial and contextual relations from adjacent areas were analyzed. The main finding of the present study is that, the forest areas were drastically decreased, while the agrarian structure in conversion of forest into agricultural fields and grassland was the main force of deforestation. In contrast, the capability of the area to recover was clearly observed. The study concludes with a brief assessment of an 'oriented' framework, focused on the alarming areas where serious dynamics are located and where urgent plans and interventions are most critical, guided with potential solutions based on the identified driving forces.

  7. Recognizing harmful algal bloom based on remote sensing reflectance band ratio

    Science.gov (United States)

    Bresciani, Mariano; Giardino, Claudia; Bartoli, Marco; Tavernini, Silvia; Bolpagni, Rossano; Nizzoli, Daniele

    2011-01-01

    We present a band ratio algorithm based on remote sensing reflectance (RRS) data to detect an algal bloom composed of cyanobacteria (Planktothrix spp.) and chrysophytes in Lake Idro, a small meso-eutrophic lake situated in the subalpine region (northern Italy). The bloom started around the first week of September 2010 and persisted for about 1 month, with highest mean chlorophyll-a concentrations (17.5 +/- 1.6 mgm-3) and phytoplankton cellular density (7,250,000 cell.l-1) measured on September 14, 2010. RRS data obtained from in situ measurements were first investigated to select the diagnostic wavelengths (i.e., 560 and 620 nm) of both phycoerythrin (present in the Planktothrix spp.) and other pigments (e.g., fucoxanthin, common to several species of chrysophyte). Testing the algorithm on RRS data derived from atmospherically corrected image data showed the ability of the medium resolution imaging spectrometer (MERIS) to detect the bloom also. The results demonstrate that a combination of in situ and MERIS data is a valuable tool to monitor the extent and duration of phytoplankton blooms.

  8. 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.

  9. 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.

  10. 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

  11. Prediction of a future washover landscape based on airborne remote sensing techniques

    Energy Technology Data Exchange (ETDEWEB)

    Eleveld, M.A. [International Institute for Aerospace Survey and Earth Sciences (ITC), Enschede (Netherlands)

    1997-06-01

    International recognition and protection of the Wadden Sea area was established after the {open_quote}Ramsar Convention on Wetlands of International Importance, Especially as Waterfowl Habitat{close_quote}. The Dutch government policy of dynamic preservation of the Dutch coast gives nature almost a free reign at locations designated as natural areas, e.g. the extremes of the Dutch Wadden islands. Management is involved in monitoring the coastal development with the purpose of gaining more insight in the processes affecting these areas, subsequently allowing prediction. An important process observed on the eastern ends of the Wadden islands is the occurrence of washovers. This geomorphological phenomenon, resulting in sand transport from the foredunes to the saltmarsh and tidal flats, has a major ecological impact, influencing among other things the species composition of the saltmarsh. To monitor the washovers several airborne sensors were used. Information on the formation and stabilization of washovers by vegetation, was extracted from multitemporal airborne videography and scanned aerial photographs. Based on the trends derived from these sequential images, digital elevation data and morphological parameters derived from laser altimetry, dynamic modelling in a GIS environment was applied, which resulted in the prediction of the place of washovers and the amount sediment that could be deposited on saltmarsh in the coming years. The general conclusion is that, the presence of washovers causes environmental heterogeneity resulting in a high species diversity. Multitemporal airborne remote sensing data are not only useful for monitoring the landscape but the data also support spatio-temporal modelling.

  12. Remote sensing monitoring on soil erosion based on LUCC in Beijing mountain areas

    International Nuclear Information System (INIS)

    The eco-environmental problems caused by land use and land cover change have been a severe block to regional sustainable development in the Beijing mountain areas. In this study, two temporal Landsat TM images in 2002 and 2009 were used, the soil erosion factors included vegetation coverage, slope and land use were calculated. The soil erosion degree was divided into six levels, micro, mild, moderate, strong, intensive and severe. The raster data with 30 m × 30 m pixels small-class of the soil erosion map was used to extract soil erosion information. This thesis evaluated soil erosion dynamic in Beijing mountain areas based on land use and land cover change with the combination of technologies and methodologies of multi-temporal satellite remote sensing, GIS and field investigation. The soil erosion change and their driving forces were analysed. The results showed micro and mild soil erosion mainly existed in the Beijing mountain areas. The moderate erosion emerged in the areas with both slope and poor vegetation cover. The strong, intensive and severe soil erosion were rare but distributed in mountainous areas in Huairou, Miyun, and Mentougou. The soil erosion situation has improved markedly due to environment management from 2002 to 2009

  13. 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.

  14. 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.

  15. A digital filter-based approach to the remote condition monitoring of railway turnouts

    Energy Technology Data Exchange (ETDEWEB)

    Garcia Marquez, Fausto Pedro [ETSII, Universidad de Castilla-La Mancha, Ciudad Real (Spain)]. E-mail: FaustoPedro.Garcia@uclm.es; Schmid, Felix [Railway Research UK, Birmingham University, Birmingham (United Kingdom)

    2007-06-15

    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.

  16. 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 ...

  17. Regional yields simulation for winter wheat in North China based on assimilating remote sensing data

    Science.gov (United States)

    Ma, Yuping; Zhang, Li; Wang, Shili

    2006-08-01

    Accurate crop growth monitoring and yield forecasting are significant to food security and sustainable development of agriculture. However, regional crop growth simulation faces the difficulties in determining the spatial distribution of some model parameters and initial conditions. In this study, regional biomasses at turn-green stage of winter wheat were re-estimated by linking WOFOST model and Soil Adjusted Vegetation Index (SAVI) synthesized from remote sensing data. Moreover, we proposed a way of combining evapotranspiration derived from satellite remote sensing data to crop grow simulation model. Thus, the regional initial available soil water and irrigation at earring stage were re-initialized and re-estimated by using remote sensing data. Those methods were well applied to simulate the growth and development for winter wheat at local site. After regionalizing of weather data, crop model parameters and initial conditions, those methods were used to estimate winter wheat yields in North China during the growing season from 2001 to 2002 at the scale of 0.25 degrees. The results showed that both soil water and final winter wheat yields estimation were improved and the relative root mean square error (RRMSE) decreased from 0.63 without remote sensing data to 0.20 with remote sensing data for 32 sites. The relative errors of the aggregated yields for three provinces were -4.9%, 4.3% and 8.6%, respectively. These results illustrated that remote sensing data can be used to improve winter wheat yields simulation at regional scale.

  18. Ground-based Polarization Remote Sensing of Atmospheric Aerosols and the Correlation between Polarization Degree and PM2.5

    International Nuclear Information System (INIS)

    The ground-based polarization remote sensing adds the polarization dimension information to traditional intensity detection, which provides a new method to detect atmospheric aerosols properties. In this paper, the polarization measurements achieved by a new multi-wavelength sun photometer, CE318-DP, are used for the ground-based remote sensing of atmospheric aerosols. In addition, a polarized vector radiative transfer model is introduced to simulate the DOLP (Degree Of Linear Polarization) under different sky conditions. At last, the correlative analysis between mass density of PM2.5 and multi-wavelength and multi-angular DOLP is carried out. The result shows that DOLP has a high correlation with mass density of PM2.5, R2>0.85. As a consequence, this work provides a new method to estimate the mass density of PM2.5 by using the comprehensive network of ground-based sun photometer

  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. Remote web-based 3D visualization of hydrological forecasting datasets.

    Science.gov (United States)

    van Meersbergen, Maarten; Drost, Niels; Blower, Jon; Griffiths, Guy; Hut, Rolf; van de Giesen, Nick

    2015-04-01

    As the possibilities for larger and more detailed simulations of geoscientific data expand, the need for smart solutions in data visualization grow as well. Large volumes of data should be quickly accessible from anywhere in the world without the need for transferring the simulation results. We aim to provide tools for both processing and the handling of these large datasets. As an example, the eWaterCycle project (www.ewatercycle.org) aims to provide a running 14-day ensemble forecast to predict water related stress around the globe. The large volumes of simulation results with uncertainty data that are generated through ensemble hydrological predictions provide a challenge for existing visualization solutions. One possible solution for this challenge lies in the use of web-enabled technology for visualization and analysis of these datasets. Web-based visualization provides an additional benefit in that it eliminates the need for any software installation and configuration and allows for the easy communication of research results between collaborating research parties. Providing interactive tools for the exploration of these datasets will not only help in the analysis of the data by researchers, it can also aid in the dissemination of the research results to the general public. In Vienna, we will present a working open source solution for remote visualization of large volumes of global geospatial data based on the proven open-source 3D web visualization software package Cesium (cesiumjs.org), the ncWMS software package provided by the Reading e-Science Centre and the WebGL and NetCDF standards.

  1. 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.

  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. 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.

  4. A Protocol for Retrospective Remote-Sensing-based Ecological Monitoring of Rangelands

    Science.gov (United States)

    Washington-Allen, R. A.; West, N. E.; Ramsey, R. D.; Efroymson, R. A.

    2009-12-01

    Because the condition and trend of drylands in the United States at sub-regional to national scales is unknown, this paper presents a protocol for the monitoring and assessment of dryland degradation using historical remote sensing. Traditional field-based monitoring has proven inadequate for capturing the changes in spatial and temporal heterogeneity that may adversely affect drylands at sub-regional to national spatial scales. Continuous monitoring data of 14 to 25 years is required to detect and separate the effects of climatic processes from those induced by land management practices. However, few field-based datasets exist that have measured the trend of appropriate ecological indicators at regional to national scales. Landsat data has been collected and archived at least once-a month since 1972, and includes complete coverage of US drylands. Five assessment endpoints that relate to land degradation can be retrospectively measured for the last 33 years using surrogate indicators derived from Landsat imagery: change in vegetation physiognomy, decline in vegetation productivity, accelerated soil erosion, decline in soil quality, and change in landscape composition and configuration. Consequently, this protocol considers (1) how land degradation is characterized, i.e., what indicators are assessed, (2) which indicators are measured, (3) what reference conditions are appropriate, (4) which temporal and spatial scales are of concern, and finally, (5) which statistics and/or analyses are appropriate for determining the significance of a change? Aspects of two retrospective studies are presented as examples of application of the protocol to considerations of the land use impacts from military training and testing, and commercial grazing activities on drylands.

  5. CORBA-based solution for remote participation in SST-1 tokamak control and operation

    International Nuclear Information System (INIS)

    The steady state superconducting tokamak (SST-1) central control system is a distributed heterogeneous process communication system built on socket programming. It consists of machine, experiment and discharge control plus timing and a database. The software controls and monitors SST-1 subsystems: water-cooling, power supplies, cryogenics and vacuum over a local area network (LAN). The SST-1 control room is the place where all the activities like session announcement, machine control, experiment control, discharge control and monitoring are performed. We have realized that, instead of having a single monitoring place, we should have multiple monitoring points and it should be made possible to control the experiment from any PC over the LAN. In order to meet such requirements for remote participation in tokamak operation, we are upgrading the existing software. The upgraded software is based on Common Object Request Broker Architecture (CORBA) technology. The software is utilizing CORBA-services such as event service, naming services, interface repository and security services. The inherent features of CORBA make the software, platform and language independent. The software supports a variety of communication paradigms including publish-subscribe, peer-to-peer, and request-reply. Based on this software, one can participate in SST-1 tokamak operation from the LAN, or a wide area network (WAN) connection anywhere on the Internet. Each user can customize plasma parameters and diagnostics data that he wants to monitor, at any time without any change in the software and a copy of these parameters will be available to him. This paper focuses on the publish-subscribe communication paradigm and its application for a machine monitoring system

  6. 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

  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. Research on dimension reduction method for hyperspectral remote sensing image based on global mixture coordination factor analysis

    Science.gov (United States)

    Wang, S.; Wang, C.

    2015-06-01

    Over the past thirty years, the hyperspectral remote sensing technology is attracted more and more attentions by the researchers. The dimension reduction technology for hyperspectral remote sensing image data is one of the hotspots in current research of hyperspectral remote sensing. In order to solve the problems of nonlinearity, the high dimensions and the redundancy of the bands that exist in the hyperspectral data, this paper proposes a dimension reduction method for hyperspectral remote sensing image data based on the global mixture coordination factor analysis. In the first place, a linear low dimensional manifold is obtained from the nonlinear and high dimensional hyperspectral image data by mixture factor analysis method. In the second place, the parameters of linear low dimensional manifold are estimated by the EM algorithm of find a local maximum of the data log-likelihood. In the third place, the manifold is aligned to a global parameterization by the global coordinated factor analysis model and then the lowdimension image data of hyperspectral image data is obtained at last. Through the comparison of different dimensionality reduction method and different classification method for the low-dimensional data, the result illuminates the proposed method can retain maximum spectral information in hyperspectral image data and can eliminate the redundant among bands.

  9. 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.

  10. 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.

  11. NaradaBrokering as Middleware Fabric for Grid-based Remote Visualization Services

    Science.gov (United States)

    Pallickara, S.; Erlebacher, G.; Yuen, D.; Fox, G.; Pierce, M.

    2003-12-01

    Remote Visualization Services (RVS) have tended to rely on approaches based on the client server paradigm. The simplicity in these approaches is offset by problems such as single-point-of-failures, scaling and availability. Furthermore, as the complexity, scale and scope of the services hosted on this paradigm increase, this approach becomes increasingly unsuitable. We propose a scheme based on top of a distributed brokering infrastructure, NaradaBrokering, which comprises a distributed network of broker nodes. These broker nodes are organized in a cluster-based architecture that can scale to very large sizes. The broker network is resilient to broker failures and efficiently routes interactions to entities that expressed an interest in them. In our approach to RVS, services advertise their capabilities to the broker network, which manages these service advertisements. Among the services considered within our system are those that perform graphic transformations, mediate access to specialized datasets and finally those that manage the execution of specified tasks. There could be multiple instances of each of these services and the system ensures that load for a given service is distributed efficiently over these service instances. Among the features provided in our approach are efficient discovery of services and asynchronous interactions between services and service requestors (which could themselves be other services). Entities need not be online during the execution of the service request. The system also ensures that entities can be notified about task executions, partial results and failures that might have taken place during service execution. The system also facilitates specification of task overrides, distribution of execution results to alternate devices (which were not used to originally request service execution) and to multiple users. These RVS services could of course be either OGSA (Open Grid Services Architecture) based Grid services or traditional

  12. 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.

  13. 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.

  14. 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...

  15. Design and Construction of Microcontroller Based Wireless Remote Controlled Industrial Electrical Appliances Using ZigBee Technology

    OpenAIRE

    Lu Mai; Min Zaw Oo

    2014-01-01

    Industrial automations which are mostly depend upon the power systems & which requires distance controlled and regulated systems. Wireless technology which meets to cost, speed and distance will always be a point of an interest for research. This research proposes microcontroller based wireless remote controlled for electric systems parameters like voltage and current using ZigBee technology. PIC16F877A controller is used in a predominant way because it is rich in peripherals and hence many d...

  16. 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...

  17. 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 ...

  18. 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...

  19. 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.

  20. 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. PMID:24405761

  1. 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

  2. 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.

  3. 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.

  4. EVALUATION OF SOIL LOSS IN GUARAÍRA BASIN BY GIS AND REMOTE SENSING BASED MODEL

    Directory of Open Access Journals (Sweden)

    Richarde Marques Silva

    2007-12-01

    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.

  5. 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.

  6. 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

  7. 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.

  8. [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

  9. 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

  10. Sitting of Water Harvesting Structures Based on Remote Sensing, GIS and GPS

    Science.gov (United States)

    Kesireddy, K.

    2005-05-01

    Harvesting of runoff is critically important for supporting rain fed agriculture in semi-arid areas. In the present study, Remote Sensing,GIS, GPS technologies are used to analyze the data to provide information about suitable sites for water harvesting structures in Khamam District of Andhra Pradesh, in India . The layers used for site suitability index for water harvesting structures are the canopy density, slope map, soil map and tank buffers which give the required indices. The suitability Index map is generated by integrating the above layers; slope map is derived from DEM; forest density map generated by classifying the satellite data obtained from IRS 1C/1D LISS-III, soil map is from ICAR on 1:500000 scale, tank buffers created at 500m distance. Different weightages are assigned as per the importance of the particular variable and spatially modeled using overlay analysis to generate the site suitability index map and rescaled to suit the requirement. The final suitable index values are reclassified into various classes like highly suitable to CD/PT's, moderately suitable and least suitable,etc. Stream network is digitized for the entire study area. Integrating the above said layers for generating site suitability map for water harvesting structures like CD/PT's are proposed along with latitude, and longitude, information. A model is developed for the integrated management of water resources considering the spatial thematic layers and attribute data base. The micro level management is carried out to suggest the locations of the water harvesting structures. The types of structures are designed in accordance with decision rules developed in this model. The model arriving out of this study may be used elsewhere under similar environment.

  11. Segmentation and Classification of Remotely Sensed Images: Object-Based Image Analysis

    Science.gov (United States)

    Syed, Abdul Haleem

    Land-use-and-land-cover (LULC) mapping is crucial in precision agriculture, environmental monitoring, disaster response, and military applications. The demand for improved and more accurate LULC maps has led to the emergence of a key methodology known as Geographic Object-Based Image Analysis (GEOBIA). The core idea of the GEOBIA for an object-based classification system (OBC) is to change the unit of analysis from single-pixels to groups-of-pixels called `objects' through segmentation. While this new paradigm solved problems and improved global accuracy, it also raised new challenges such as the loss of accuracy in categories that are less abundant, but potentially important. Although this trade-off may be acceptable in some domains, the consequences of such an accuracy loss could be potentially fatal in others (for instance, landmine detection). This thesis proposes a method to improve OBC performance by eliminating such accuracy losses. Specifically, we examine the two key players of an OBC system: Hierarchical Segmentation and Supervised Classification. Further, we propose a model to understand the source of accuracy errors in minority categories and provide a method called Scale Fusion to eliminate those errors. This proposed fusion method involves two stages. First, the characteristic scale for each category is estimated through a combination of segmentation and supervised classification. Next, these estimated scales (segmentation maps) are fused into one combined-object-map. Classification performance is evaluated by comparing results of the multi-cut-and-fuse approach (proposed) to the traditional single-cut (SC) scale selection strategy. Testing on four different data sets revealed that our proposed algorithm improves accuracy on minority classes while performing just as well on abundant categories. Another active obstacle, presented by today's remotely sensed images, is the volume of information produced by our modern sensors with high spatial and

  12. 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.

  13. 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

  14. 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)

  15. 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.

  16. The design of video and remote analysis system for gamma spectrum based on LabVIEW

    International Nuclear Information System (INIS)

    For the protection of analyst in the measurement,as well as the facilitation of expert to realize the remote analysis, a solution of live video combined with internet access and control is proposed. DirectShow technology and the LabVIEW'S IDT (Internet Develop Toolkit) module are used, video and analysis pages of the gamma energy spectrum are integrated and published in the windows system by IIS (Internet Information Sever). We realize the analysis of gamma spectrum and remote operations by internet. At the same time, the system has a friendly interface and easily to be put into practice. It also has some reference value for the related radioactive measurement. (authors)

  17. Ground-based weather radar remote sensing of volcanic ash explosive eruptions

    Science.gov (United States)

    Marzano, F. S.; Marchiotto, S.; Barbieri, S.; Giuliani, G.; Textor, C.; Schneider, D. J.

    2009-04-01

    The explosive eruptions of active volcanoes with a consequent formation of ash clouds represent a severe threat in several regions of the urbanized world. During a Plinian or a sub-Plinian eruption the injection of large amounts of fine and coarse rock fragments and corrosive gases into the troposphere and lower stratosphere is usually followed by a long lasting ashfall which can cause a variety of damages. Volcanic ash clouds are an increasing hazard to aviation safety because of growing air traffic volumes that use more efficient and susceptible jet engines. Real-time and areal monitoring of a volcano eruption, in terms of its intensity and dynamics, is not always possible by conventional visual inspections, especially during worse visibility periods which are quite common during eruption activity. Remote sensing techniques both from ground and from space represent unique tools to be exploited. In this respect, microwave weather radars can gather three-dimensional information of atmospheric scattering volumes up several hundreds of kilometers, in all weather conditions, at a fairly high spatial resolution (less than a kilometer) and with a repetition cycle of few minutes. Ground-based radar systems represent one of the best methods for determining the height and volume of volcanic eruption clouds. Single-polarization Doppler radars can measure horizontally-polarized power echo and Doppler shift from which ash content and radial velocity can be, in principle, extracted. In spite of these potentials, there are still several open issues about microwave weather radar capabilities to detect and quantitatively retrieve ash cloud parameters. A major issue is related to the aggregation of volcanic ash particles within the eruption column of explosive eruptions which has been observed at many volcanoes. It influences the residence time of ash in the atmosphere and the radiative properties of the "umbrella" cloud. Numerical experiments are helpful to explore processes

  18. 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

  19. 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.

  20. 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.

  1. 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.

  2. 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

  3. 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

  4. Aerosols and Precipitation Retrievals over Eureka by Remote Sensing: Validation of Space Based Profiling Retrievals

    Science.gov (United States)

    Chaubey, J. P.; O'Neill, N. T.; Hudak, D. R.; Rodriguez, P.; Ivanescu, L.; Eloranta, E.; Duck, T.

    2014-12-01

    Aerosols and precipitation are among the agents responsible for the ongoing changes in the Arctic climate and the hydrological cycle. The seasonal variations of Arctic aerosols (Arctic haze for e.g.) are linked to the transport efficiency as well as precipitation (wet) scavenging. Aside from affecting aerosol concentrations, precipitation is an important hydrological variable that affects the moisture budget of the atmosphere. Aerosols, in turn, influence the vertical distribution of clouds and this induces changes in the precipitation pattern. The spatial and temporal sparsity of precipitation measurements over the Arctic region means that satellite remote sensing techniques take on an importance that considerably exceeds their role south of the Arctic circle. Radar reflectivity and snow profiles from CloudSat (in support of cloud and precipitation analyses) and backscattering measurements from CALIOP (investigations of aerosol and small cloud particle properties) can be used to study Arctic winter clouds and precipitation and the role of aerosols in their formation. In this study we attempt to validate satellite-based profiling retrievals of precipitation parameters using AHSRL (Arctic High Spectral Resolution Lidar), CRL (CANDAC Raman Lidar) and MMCR (Milli-Meter Cloud Radar) profiles acquired at the PEARL high-Arctic site in Eureka (80 °N, 86 °W), Nunavut, Canada. As part of the process of validating the profiling retrievals we aspire to learn more about the mechanisms controlling aerosol, cloud and precipitation inter-dynamics. In addition, ground-based, high-frequency observations of precipitation will be used for characterizing precipitation totals as well as the conditional probability of the type of precipitation (rain or snow) and thus to help understand and validate comparable information extracted from the satellite retrievals. We also aim to characterize different particle types using AHSRL and CRL depolarization profiles, MMCR Doppler velocity

  5. Unmanned aerial vehicles for hyperspatial remote sensing of rangelands: object-based classification and field validation

    Science.gov (United States)

    UAVs are ideally suited for monitoring and assessing vegetation conditions in remote rangelands due to the relatively low operating costs, ability for fast deployment, and greater flexibility than piloted aircraft. The likelihood of obtaining FAA permission for operating a UAV is also greater in rem...

  6. 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.)

  7. 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.

  8. A satellite-based drought product using thermal remote sensing of evapotranspiration

    Science.gov (United States)

    Thermal infrared (TIR) remote sensing of land-surface temperature (LST) provides valuable information about the sub-surface moisture status: soil surface temperature increases with decreasing water content, while moisture depletion in the plant root zone leads to stomatal closure, reduced transpirat...

  9. Desenvolupament d'una intranet per a un centre d'estudis i la seva adaptació per a dispositius mòbils

    OpenAIRE

    Chillon Garcia, Pilar

    2014-01-01

    [CATALÀ] L'evolució de la tecnologia ha comportat grans canvis en els processos de gestió empresarial degut als múltiples beneficis que aporten les noves tecnologies. El Centre d'Estudis Les Motxilles vol treure partit a aquests beneficis incorporant al centre una extranet i una intranet.

  10. Knowledge-Based Detection and Assessment of Damaged Roads Using Post-Disaster High-Resolution Remote Sensing Image

    Directory of Open Access Journals (Sweden)

    Jianhua Wang

    2015-04-01

    Full Text Available Road damage detection and assessment from high-resolution remote sensing image is critical for natural disaster investigation and disaster relief. In a disaster context, the pairing of pre-disaster and post-disaster road data for change detection and assessment is difficult to achieve due to the mismatch of different data sources, especially for rural areas where the pre-disaster data (i.e., remote sensing imagery or vector map are hard to obtain. In this study, a knowledge-based method for road damage detection and assessment solely from post-disaster high-resolution remote sensing image is proposed. The road centerline is firstly extracted based on the preset road seed points. Then, features such as road brightness, standard deviation, rectangularity, and aspect ratio are selected to form a knowledge model. Finally, under the guidance of the road centerline, the post-disaster roads are extracted and the damaged roads are detected by applying the knowledge model. In order to quantitatively assess the damage degree, damage assessment indicators with their corresponding standard of damage grade are also proposed. The newly developed method is evaluated using a WorldView-1 image over Wenchuan, China acquired three days after the earthquake on 15 May 2008. The results show that the producer’s accuracy (PA and user’s accuracy (UA reached about 90% and 85%, respectively, indicating that the proposed method is effective for road damage detection and assessment. This approach also significantly reduces the need for pre-disaster remote sensing data.

  11. 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

  12. A demanding web-based PACS supported by web services technology

    Science.gov (United States)

    Costa, Carlos M. A.; Silva, Augusto; Oliveira, José L.; Ribeiro, Vasco G.; Ribeiro, José

    2006-03-01

    During the last years, the ubiquity of web interfaces have pushed practically all PACS suppliers to develop client applications in which clinical practitioners can receive and analyze medical images, using conventional personal computers and Web browsers. However, due to security and performance issues, the utilization of these software packages has been restricted to Intranets. Paradigmatically, one of the most important advantages of digital image systems is to simplify the widespread sharing and remote access of medical data between healthcare institutions. This paper analyses the traditional PACS drawbacks that contribute to their reduced usage in the Internet and describes a PACS based on Web Services technology that supports a customized DICOM encoding syntax and a specific compression scheme providing all historical patient data in a unique Web interface.

  13. Estimation of Evapotranspiration of Almond orchards using Remote Sensing based SEBAL model in Central Valley, California

    Science.gov (United States)

    Roy, S.; Ustin, S.; Kefauver, S. C.

    2009-12-01

    Evapotranspiration is one of the main components of the hydrologic cycle and its impact to hydrology, agriculture,forestry and environmental studies is very crucial. SEBAL (Surface Energy Balance Algorithm for Land) is an image-processing model comprised of twenty-five computational sub-models that computes actual evapotranspiration (ETa) and other energy exchanges as a component of energy balance which is used to derive the surface radiation balance equation for the net surface radiation flux (Rn) on a pixel-by-pixel basis. For this study, SEBAL method is applied to Level 1B dataset of visible, near-infrared and thermal infrared radiation channels of MASTER instrument on-board NASA-DC 8 flight. This paper uses the SEBAL method to (1) investigate the spatial distribution property of land surface temperature (Ls), NDVI, and ETa over the San Joaquin valley. (2) Estimate actual evapotranspiration of almond class on pixel-by-pixel basis in the Central valley, California. (3) Comparison of actual Evapotranspiration obtained from SEBAL model with reference evapotranspiration (Eto) using Penman Monteiths method based on the procedures and available data from California Irrigation Management Information System (CIMIS) stations. The results of the regression between extracted land surface temperature, NDVI and, evapotranspiration show negative (-) correlation. On the other hand Ls possessed a slightly stronger negative correlation with the ETa than with NDVI for Almond class. The correlation coefficient of actual ETa estimates from remote sensing with Reference ETo from Penmann Monteith are 0.8571. ETa estimated for almond crop from SEBAL were found to be almost same with the CIMIS_Penman Monteith method with bias of 0.77 mm and mean percentage difference is 0.10%. These results indicate that combination of MASTER data with surface meteorological data could provide an efficient tool for the estimation of regional actual ET used for water resources and irrigation scheduling

  14. Storage tube with a base adjustable for height by remote handling, particularly for spent fuel storage in pools

    International Nuclear Information System (INIS)

    One aim of this invention is the fabrication of a storage tube with a base adjustable for height by remote handling, for the in-pools storing of irradiated nuclear fuels. This device possesses the following features with respect to the mechanism for placing the base in the supporting position: - use of rotation without rectilinear friction or gears, - impossibility for dust to accumulate on the mechanism, - possible control by handling pole, - simplicity and low mass production cost. Such features can of course be used to advantage for the tubes to store elements of various lengths irrespective of the nuclear energy

  15. Design and Implementation of Remote/Short-range Smart Home Monitoring System Based on ZigBee and STM32

    OpenAIRE

    Yuanxin Lin; Rui Kong; Rongbin She; Shugao Deng

    2013-01-01

    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-compute...

  16. 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.

  17. Remote sensing-based quantification of spatial variation in canopy phenology of four dominant tree species in Europe

    Science.gov (United States)

    Han, Qifei; Luo, Geping; Li, Chaofan

    2013-01-01

    Spatial variation of phenology is a central feature of global change research. Satellite remote sensing is used for continental to global monitoring due to the limitations of long-term field observations of plant phenology. A threshold method was used to estimate the start of the season, length of the season, maximum normalized difference vegetation index (NDVI), and integral NDVI for selected tree species using remote sensing based NDVI data acquired by the VEGETATION instrument on board Satellite Pour l'Observation de la Terre (SPOT VGT NDVI). Afterward, the spatial patterns in the satellite-derived phenological metrics for four dominant tree species (i.e., beech, birch, pine, and spruce) across Europe were characterized. The results indicate that: (1) The SOS occurs 1.6-2.9 days later and the average LOS is 2.7-3 days shorter per 1 deg of latitude increase from south to north. (3) The SOS occurs 0.7-1.8 days later and the LOS was 0.6-2 days shorter per 100-m increase in altitude for the four species. (4) The SOS and LOS across Europe are well correlated with the mean annual air temperature (1°C correlates with a 4.5-day advance in the SOS and a 7-day extension in the LOS). Our research is the first one to characterize the spatial and temporal variations of phenology for different tree species across Europe using remote sensing.

  18. 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.

  19. 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)

  20. 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

  1. 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,...

  2. Heart murmurs recorded by a sensor based electronic stethoscope and e-mailed for remote assessment

    OpenAIRE

    Wren, C; Dahl, L.; Hasvold, P; Arild, E; Hasvold, T.

    2002-01-01

    Background: Heart murmurs are common in children, and they are often referred to a specialist for examination. A clinically innocent murmur does not need further investigation. The referral area of the University Hospital is large and sparsely populated. A new service for remote auscultation (telemedicine) of heart murmurs in children was established where heart sounds and short texts were sent as an attachment to e-mails.

  3. 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...

  4. REMOTE SENSING CLASSIFICATION METHOD OF WETLAND BASED ON AN IMPROVED SVM

    OpenAIRE

    Lin, Y.; Shen, M; B. Liu; Ye, Q.

    2013-01-01

    The increase of population and economic development, especial the land use and urbanization bring the wetland resource a huge pressure and a serious consequence of a sharp drop in the recent years. Therefore wetland eco-environment degradation and sustainable development have become the focus of wetland research. Remote sensing technology has become an important means of environment dynamic monitoring. It has practical significance for wetland protection, restoration and sustainable ...

  5. 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-...

  6. REMOTE SENSING AND GIS BASE CROP ACREAGE ESTIMATION OF THE SUGARCANE FOR SOLAPUR DISTRICT, MAHARASHTRA

    OpenAIRE

    ANIL S. YEDAGE; R.S.GAVALI; R.R. PATIL

    2013-01-01

    Accurate and faster estimation of crop area is very essential for projecting yearly agriculture production for formulating national budget and deciding agriculture policies. The present investigation deals with the estimation of sugarcane crop acreage of Maharashtra state. The cultivation of sugarcane crop in Maharashtra has been increasing steadily because of the increasing irrigation facilities. In the present study, comparison was carried out between conventional (field data) and remote se...

  7. Assessing Human Risk of Exposure to Plague Bacteria in Northwestern Uganda Based on Remotely Sensed Predictors

    OpenAIRE

    EISEN, REBECCA J.; Griffith, Kevin S.; Borchert, Jeff N.; MacMillan, Katherine; Apangu, Titus; Owor, Nicholas; Acayo, Sara; Acidri, Rogers; Zielinski-Gutierrez, Emily; Winters, Anna M.; Enscore, Russell E.; Schriefer, Martin E.; Beard, Charles B.; Gage, Kenneth L.; Mead, Paul S.

    2010-01-01

    Plague, a life-threatening flea-borne zoonosis caused by Yersinia pestis, has most commonly been reported from eastern Africa and Madagascar in recent decades. In these regions and elsewhere, prevention and control efforts are typically targeted at fine spatial scales, yet risk maps for the disease are often presented at coarse spatial resolutions that are of limited value in allocating scarce prevention and control resources. In our study, we sought to identify sub-village level remotely sen...

  8. 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...

  9. Renewable Energy Based Small Hybrid Power System For Desalination Applications In Remote Locations

    OpenAIRE

    K.Ramu; K. RAMBABU

    2014-01-01

    Abstract—Water, energy and environment are essential inputs for sustainable development of society. It is a common phenomenon that certain packets of the country that are water stressed are also power stressed at the same time. There is a huge potential for utilizing renewable energy sources, for example solar energy, wind energy, or micro hydropower to provide a quality power supply to remote areas. The abundant energy available in nature can be harnessed and converted to electricity in a su...

  10. 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)

  11. 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 ...

  12. REMOTE-SENSING-BASED BIOPHYSICAL MODELS FOR ESTIMATING LAI OF IRRIGATED CROPS IN MURRY DARLING BASIN

    OpenAIRE

    Wittamperuma, I.; M. Hafeez; Pakparvar, M.; Louis, J.

    2012-01-01

    Remote sensing is a rapid and reliable method for estimating crop growth data from individual plant to crops in irrigated agriculture ecosystem. The LAI is one of the important biophysical parameter for determining vegetation health, biomass, photosynthesis and evapotranspiration (ET) for the modelling of crop yield and water productivity. Ground measurement of this parameter is tedious and time-consuming due to heterogeneity across the landscape over time and space. This study deals with the...

  13. Ground-Based Remote Sensing for Assessing Tomato Water-Status

    OpenAIRE

    Marcello Mastrorilli; Pasquale Campi; Domenico Palumbo; Francesca Modugno

    2010-01-01

    The objective of this “on farm” research is the evaluation of the remotely surveyed signals in describing crops’ water status dynamics, with the goal of optimizing the tomato irrigation scheduling on a regional level. Attention is given to the surface infra-red (IR) temperature and to the Normalized Differential Vegetation Index (NDVI); both signals were measured from ground platforms in tomato fields over two years, in two localities (Foggia and Rutigliano). The tomato was ...

  14. 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 ...

  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. 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).

  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. 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

  19. 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.

  20. Non-radiation hardened microprocessors in space-based remote sensing systems

    Science.gov (United States)

    DeCoursey, R.; Melton, Ryan; Estes, Robert R., Jr.

    2006-09-01

    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. Figure 1 shows the ground track of one CALIPSO orbit as well as high and low intensity South Atlantic Anomaly outlines. 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 (see figure 1) 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