WorldWideScience

Sample records for smart sensing processing

  1. Modelling and simulation of processes by smart sensing : a solar dryer for plant material

    Energy Technology Data Exchange (ETDEWEB)

    Correa, E.C.; Diezma, B.; Ruiz-Altisent, M. [LPF-TAGRALIA Univ. Politecnica, CENIM-CSIC, Madrid (Spain)

    2010-07-01

    This paper reported on a study in which as small wood dryer was modelled. Studies have shown that properly designed solar dryers may prove to be energy saving devices for drying processes. The drying rate expressed as -dX/dt=f/X (where X is DB wood moisture content), allows to identify 2 different kinetics, notably for high X values or fibre saturation point (FSP) and for X values under FSP, in which diffusion is the mechanism that governs a decreasing drying rate at this stage. The complex drying rate model developed in this study made it possible the determine the wood and convective mass transfer at the wood-air interface. Validation and application to fruit and plant drying cycles is currently underway. Three different proposed models are used in the software for a smart sensor system, which is based on Sensirion sensors for temperature and relative humidity in the air, and thermocouples for timber temperature.

  2. Smart sensing surveillance video system

    Science.gov (United States)

    Hsu, Charles; Szu, Harold

    2016-05-01

    An intelligent video surveillance system is able to detect and identify abnormal and alarming situations by analyzing object movement. The Smart Sensing Surveillance Video (S3V) System is proposed to minimize video processing and transmission, thus allowing a fixed number of cameras to be connected on the system, and making it suitable for its applications in remote battlefield, tactical, and civilian applications including border surveillance, special force operations, airfield protection, perimeter and building protection, and etc. The S3V System would be more effective if equipped with visual understanding capabilities to detect, analyze, and recognize objects, track motions, and predict intentions. In addition, alarm detection is performed on the basis of parameters of the moving objects and their trajectories, and is performed using semantic reasoning and ontologies. The S3V System capabilities and technologies have great potential for both military and civilian applications, enabling highly effective security support tools for improving surveillance activities in densely crowded environments. It would be directly applicable to solutions for emergency response personnel, law enforcement, and other homeland security missions, as well as in applications requiring the interoperation of sensor networks with handheld or body-worn interface devices.

  3. The role of advanced sensing in smart cities.

    Science.gov (United States)

    Hancke, Gerhard P; Silva, Bruno de Carvalho E; Hancke, Gerhard P

    2012-12-27

    In a world where resources are scarce and urban areas consume the vast majority of these resources, it is vital to make cities greener and more sustainable. Advanced systems to improve and automate processes within a city will play a leading role in smart cities. From smart design of buildings, which capture rain water for later use, to intelligent control systems, which can monitor infrastructures autonomously, the possible improvements enabled by sensing technologies are immense. Ubiquitous sensing poses numerous challenges, which are of a technological or social nature. This paper presents an overview of the state of the art with regards to sensing in smart cities. Topics include sensing applications in smart cities, sensing platforms and technical challenges associated with these technologies. In an effort to provide a holistic view of how sensing technologies play a role in smart cities, a range of applications and technical challenges associated with these applications are discussed. As some of these applications and technologies belong to different disciplines, the material presented in this paper attempts to bridge these to provide a broad overview, which can be of help to researchers and developers in understanding how advanced sensing can play a role in smart cities.

  4. Synchrophasor Sensing and Processing based Smart Grid Security Assessment for Renewable Energy Integration

    Science.gov (United States)

    Jiang, Huaiguang

    With the evolution of energy and power systems, the emerging Smart Grid (SG) is mainly featured by distributed renewable energy generations, demand-response control and huge amount of heterogeneous data sources. Widely distributed synchrophasor sensors, such as phasor measurement units (PMUs) and fault disturbance recorders (FDRs), can record multi-modal signals, for power system situational awareness and renewable energy integration. An effective and economical approach is proposed for wide-area security assessment. This approach is based on wavelet analysis for detecting and locating the short-term and long-term faults in SG, using voltage signals collected by distributed synchrophasor sensors. A data-driven approach for fault detection, identification and location is proposed and studied. This approach is based on matching pursuit decomposition (MPD) using Gaussian atom dictionary, hidden Markov model (HMM) of real-time frequency and voltage variation features, and fault contour maps generated by machine learning algorithms in SG systems. In addition, considering the economic issues, the placement optimization of distributed synchrophasor sensors is studied to reduce the number of the sensors without affecting the accuracy and effectiveness of the proposed approach. Furthermore, because the natural hazards is a critical issue for power system security, this approach is studied under different types of faults caused by natural hazards. A fast steady-state approach is proposed for voltage security of power systems with a wind power plant connected. The impedance matrix can be calculated by the voltage and current information collected by the PMUs. Based on the impedance matrix, locations in SG can be identified, where cause the greatest impact on the voltage at the wind power plants point of interconnection. Furthermore, because this dynamic voltage security assessment method relies on time-domain simulations of faults at different locations, the proposed approach

  5. Smart Sensing Using Wavelets Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Further refinements to the FOSS technologies are focusing on “smart” sensing techniques that adjust sensing parameters as needed in real time so that...

  6. Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review.

    Science.gov (United States)

    Zou, Liang; Ge, Chang; Wang, Z Jane; Cretu, Edmond; Li, Xiaoou

    2017-11-17

    During the last decades, smart tactile sensing systems based on different sensing techniques have been developed due to their high potential in industry and biomedical engineering. However, smart tactile sensing technologies and systems are still in their infancy, as many technological and system issues remain unresolved and require strong interdisciplinary efforts to address them. This paper provides an overview of smart tactile sensing systems, with a focus on signal processing technologies used to interpret the measured information from tactile sensors and/or sensors for other sensory modalities. The tactile sensing transduction and principles, fabrication and structures are also discussed with their merits and demerits. Finally, the challenges that tactile sensing technology needs to overcome are highlighted.

  7. Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review

    Directory of Open Access Journals (Sweden)

    Liang Zou

    2017-11-01

    Full Text Available During the last decades, smart tactile sensing systems based on different sensing techniques have been developed due to their high potential in industry and biomedical engineering. However, smart tactile sensing technologies and systems are still in their infancy, as many technological and system issues remain unresolved and require strong interdisciplinary efforts to address them. This paper provides an overview of smart tactile sensing systems, with a focus on signal processing technologies used to interpret the measured information from tactile sensors and/or sensors for other sensory modalities. The tactile sensing transduction and principles, fabrication and structures are also discussed with their merits and demerits. Finally, the challenges that tactile sensing technology needs to overcome are highlighted.

  8. A precision structured smart hydrogel for sensing applications

    Science.gov (United States)

    Menges, J.; Kleinschmidt, P.; Bart, H.-J.; Oesterschulze, E.

    2017-10-01

    We report on a macroinitiator based smart hydrogel film applied on a microcantilever for sensing applications. The studied hydrogel features a comparatively wide dynamic range for changes in the electrolyte's ionic strength. Furthermore, it offers a simple spin coating process for thin film deposition as well as the capability to obtain high aspect ratio microstructures by reactive ion etching. This makes the hydrogel compatible to microelectromechanical system integration. As a proof of concept, we study the response of hydrogel functionalized cantilevers in aqueous sodium chloride solutions of varying ionic strength. In contrast to the majority of hydrogel materials reported in the literature, we found that our hydrogel still responds in high ionic strength environments. This may be of future interest for sensing e.g., in sea water or physiological environments like urine.

  9. How to build a smart sensing surveillance net

    Science.gov (United States)

    Chu, Kai-Dee; Hsu, Charles

    2011-06-01

    A smart sensor network is composed of a number of sensor nodes to extract meaningful and actionable information to system users in a timely, practical and intuitive manner. It requires sophisticated and geospatially-distributed infrastructures, centralized supervision, and deployment of large-scale security and surveillance networks to provide a 24/7 and all weather security operation in heavily-populated environments as well as restricted areas. Technically, development of sensor networks requires advanced technologies from four different areas: sensing technology, communication network, on-board Digital Signal Processing (DSP) capability, and sensing data management. These four key technologies have practical difficulties in various areas including communication covertness, network discovery, control and routing, collaborative signal and information processing, tasking and querying, and data management and security. In this paper, a brief history of sensor network development will be addressed first. Then technology trends and impacts of the sensing networks will be reviewed. This paper also describes the concept, design guideline and industrial standards of sensor networks which have been made viable by the convergence of sensor technology, wireless communications, digital electronics, and sensing system management to make all types of sensors, transducers and sensor data discoverable, accessible, manageable, and useable via the Web.

  10. Tamper indicating and sensing optical-based smart structures

    International Nuclear Information System (INIS)

    Sliva, P.; Anheier, N.C.; Gordon, N.R.; Simmons, K.L.; Stahl, K.A.; Undem, H.A.

    1995-05-01

    This paper has presented an overview of the type of optical-based structures that can be designed and constructed. These smart structures are capable of responding to their environment. The examples given represent a modest sampling of the complexity that can be achieved in both design and practice. Tamper-indicating containers and smart, sensing windows demonstrate just a few of the applications. We have shown that optical-based smart structures can be made multifunctional with the sensing built in. The next generation smart structure will combine the sensing functionality of these optical-based smart structures with other sensors such as piezoelectrics and electro-rheological fluids to not only be able to respond to the environment, but to adapt to it as well. An example of functionality in this regime would be a piezosensor that senses pressure changes (e.g., shock waves), which then causes an electro-rheological fluid to change viscosity. A fiber sensor located in or near the electro-rheological fluid senses the stiffness change and sends a signal through a feedback loop back to the piezosensor for additional adjustments to the electro-rheological fluid

  11. Energy-efficient digital and wireless IC design for wireless smart sensing

    Science.gov (United States)

    Zhou, Jun; Huang, Xiongchuan; Wang, Chao; Tae-Hyoung Kim, Tony; Lian, Yong

    2017-10-01

    Wireless smart sensing is now widely used in various applications such as health monitoring and structural monitoring. In conventional wireless sensor nodes, significant power is consumed in wirelessly transmitting the raw data. Smart sensing adds local intelligence to the sensor node and reduces the amount of wireless data transmission via on-node digital signal processing. While the total power consumption is reduced compared to conventional wireless sensing, the power consumption of the digital processing becomes as dominant as wireless data transmission. This paper reviews the state-of-the-art energy-efficient digital and wireless IC design techniques for reducing the power consumption of the wireless smart sensor node to prolong battery life and enable self-powered applications.

  12. An integrated sensing technique for smart monitoring of water pipelines

    Science.gov (United States)

    Bernini, Romeo; Catapano, Ilaria; Soldovieri, Francesco; Crocco, Lorenzo

    2014-05-01

    Lowering the rate of water leakage from the network of underground pipes is one of the requirements that "smart" cities have to comply with. In fact, losses in the water supply infrastructure have a remarkable social, environmental and economic impact, which obviously conflicts with the expected efficiency and sustainability of a smart city. As a consequence, there is a huge interest in developing prevention policies based on state-of-art sensing techniques and possibly their integration, as well as in envisaging ad hoc technical solutions designed for the application at hand. As a contribution to this framework, in this communication we present an approach aimed to pursue a thorough non-invasive monitoring of water pipelines, with both high spatial and temporal resolution. This goal is necessary to guarantee that maintenance operations are performed timely, so to reduce the extent of the leakage and its possible side effects, and precisely, so to minimize the cost and the discomfort resulting from operating on the water supply network. The proposed approach integrates two sensing techniques that work at different spatial and temporal scales. The first one is meant to provide a continuous (in both space and time) monitoring of the pipeline and exploits a distributed optic fiber sensor based on the Brillouin scattering phenomenon. This technique provides the "low" spatial resolution information (at meter scale) needed to reveal the presence of a leak and call for interventions [1]. The second technique is based on the use of Ground Penetrating Radar (GPR) and is meant to provide detailed images of area where the damage has been detected. GPR systems equipped with suitable data processing strategies [2,3] are indeed capable of providing images of the shallow underground, where the pipes would be buried, characterized by a spatial resolution in the order of a few centimeters. This capability is crucial to address in the most proper way maintenance operations, by for

  13. Context-Aware Mobile Sensors for Sensing Discrete Events in Smart Environment

    Directory of Open Access Journals (Sweden)

    Awais Ahmad

    2016-01-01

    Full Text Available Over the last few decades, several advancements in the field of smart environment gained importance, so the experts can analyze ideas for smart building based on embedded systems to minimize the expense and energy conservation. Therefore, propelling the concept of smart home toward smart building, several challenges of power, communication, and sensors’ connectivity can be seen. Such challenges distort the interconnectivity between different technologies, such as Bluetooth and ZigBee, making it possible to provide the continuous connectivity among different objects such as sensors, actuators, home appliances, and cell phones. Therefore, this paper presents the concept of smart building based on embedded systems that enhance low power mobile sensors for sensing discrete events in embedded systems. The proposed scheme comprises system architecture that welcomes all the mobile sensors to communicate with each other using a single platform service. The proposed system enhances the concept of smart building in three stages (i.e., visualization, data analysis, and application. For low power mobile sensors, we propose a communication model, which provides a common medium for communication. Finally, the results show that the proposed system architecture efficiently processes, analyzes, and integrates different datasets efficiently and triggers actions to provide safety measurements for the elderly, patients, and others.

  14. Designing and Securing an Event Processing System for Smart Spaces

    Science.gov (United States)

    Li, Zang

    2011-01-01

    Smart spaces, or smart environments, represent the next evolutionary development in buildings, banking, homes, hospitals, transportation systems, industries, cities, and government automation. By riding the tide of sensor and event processing technologies, the smart environment captures and processes information about its surroundings as well as…

  15. Big Sensed Data Meets Deep Learning for Smarter Health Care in Smart Cities

    Directory of Open Access Journals (Sweden)

    Alex Adim Obinikpo

    2017-11-01

    Full Text Available With the advent of the Internet of Things (IoT concept and its integration with the smart city sensing, smart connected health systems have appeared as integral components of the smart city services. Hard sensing-based data acquisition through wearables or invasive probes, coupled with soft sensing-based acquisition such as crowd-sensing results in hidden patterns in the aggregated sensor data. Recent research aims to address this challenge through many hidden perceptron layers in the conventional artificial neural networks, namely by deep learning. In this article, we review deep learning techniques that can be applied to sensed data to improve prediction and decision making in smart health services. Furthermore, we present a comparison and taxonomy of these methodologies based on types of sensors and sensed data. We further provide thorough discussions on the open issues and research challenges in each category.

  16. Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues.

    Science.gov (United States)

    Alvear, Oscar; Calafate, Carlos T; Cano, Juan-Carlos; Manzoni, Pietro

    2018-02-04

    Evidence shows that Smart Cities are starting to materialise in our lives through the gradual introduction of the Internet of Things (IoT) paradigm. In this scope, crowdsensing emerges as a powerful solution to address environmental monitoring, allowing to control air pollution levels in crowded urban areas in a distributed, collaborative, inexpensive and accurate manner. However, even though technology is already available, such environmental sensing devices have not yet reached consumers. In this paper, we present an analysis of candidate technologies for crowdsensing architectures, along with the requirements for empowering users with air monitoring capabilities. Specifically, we start by providing an overview of the most relevant IoT architectures and protocols. Then, we present the general design of an off-the-shelf mobile environmental sensor able to cope with air quality monitoring requirements; we explore different hardware options to develop the desired sensing unit using readily available devices, discussing the main technical issues associated with each option, thereby opening new opportunities in terms of environmental monitoring programs.

  17. Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues

    Directory of Open Access Journals (Sweden)

    Oscar Alvear

    2018-02-01

    Full Text Available Evidence shows that Smart Cities are starting to materialise in our lives through the gradual introduction of the Internet of Things (IoT paradigm. In this scope, crowdsensing emerges as a powerful solution to address environmental monitoring, allowing to control air pollution levels in crowded urban areas in a distributed, collaborative, inexpensive and accurate manner. However, even though technology is already available, such environmental sensing devices have not yet reached consumers. In this paper, we present an analysis of candidate technologies for crowdsensing architectures, along with the requirements for empowering users with air monitoring capabilities. Specifically, we start by providing an overview of the most relevant IoT architectures and protocols. Then, we present the general design of an off-the-shelf mobile environmental sensor able to cope with air quality monitoring requirements; we explore different hardware options to develop the desired sensing unit using readily available devices, discussing the main technical issues associated with each option, thereby opening new opportunities in terms of environmental monitoring programs.

  18. Power systems signal processing for smart grids

    CERN Document Server

    Ribeiro, Paulo Fernando; Ribeiro, Paulo Márcio; Cerqueira, Augusto Santiago

    2013-01-01

    With special relation to smart grids, this book provides clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to solve problems in the power system. Its unique coverage bridges the gap between DSP, electrical power and energy engineering systems, showing many different techniques applied to typical and expected system conditions with practical power system examples. Surveying all recent advances on DSP for power systems, this book enables engineers and researchers to understand the current state of the art a

  19. [INVITED] Luminescent QR codes for smart labelling and sensing

    Science.gov (United States)

    Ramalho, João F. C. B.; António, L. C. F.; Correia, S. F. H.; Fu, L. S.; Pinho, A. S.; Brites, C. D. S.; Carlos, L. D.; André, P. S.; Ferreira, R. A. S.

    2018-05-01

    QR (Quick Response) codes are two-dimensional barcodes composed of special geometric patterns of black modules in a white square background that can encode different types of information with high density and robustness, correct errors and physical damages, thus keeping the stored information protected. Recently, these codes have gained increased attention as they offer a simple physical tool for quick access to Web sites for advertising and social interaction. Challenges encompass the increase of the storage capacity limit, even though they can store approximately 350 times more information than common barcodes, and encode different types of characters (e.g., numeric, alphanumeric, kanji and kana). In this work, we fabricate luminescent QR codes based on a poly(methyl methacrylate) substrate coated with organic-inorganic hybrid materials doped with trivalent terbium (Tb3+) and europium (Eu3+) ions, demonstrating the increase of storage capacity per unit area by a factor of two by using the colour multiplexing, when compared to conventional QR codes. A novel methodology to decode the multiplexed QR codes is developed based on a colour separation threshold where a decision level is calculated through a maximum-likelihood criteria to minimize the error probability of the demultiplexed modules, maximizing the foreseen total storage capacity. Moreover, the thermal dependence of the emission colour coordinates of the Eu3+/Tb3+-based hybrids enables the simultaneously QR code colour-multiplexing and may be used to sense temperature (reproducibility higher than 93%), opening new fields of applications for QR codes as smart labels for sensing.

  20. Smart Sensing System for the Prognostic Monitoring of Bone Health

    KAUST Repository

    Afsarimanesh, Nasrin

    2016-06-24

    The objective of this paper is to report a novel non-invasive, real-time, and label-free smart assay technique for the prognostic detection of bone loss by electrochemical impedance spectroscopy (EIS). The proposed system incorporated an antibody-antigen-based sensor functionalization to induce selectivity for the C-terminal telopeptide type one collagen (CTx-I) molecules—a bone loss biomarker. Streptavidin agarose was immobilized on the sensing area of a silicon substrate-based planar sensor, patterned with gold interdigital electrodes, to capture the antibody-antigen complex. Calibration experiments were conducted with various known CTx-I concentrations in a buffer solution to obtain a reference curve that was used to quantify the concentration of an analyte in the unknown serum samples. Multivariate chemometric analyses were done to determine the performance viability of the developed system. The analyses suggested that a frequency of 710 Hz is the most discriminating regarding the system sensitivity. A detection limit of 0.147 ng/mL was achieved for the proposed sensor and the corresponding reference curve was linear in the range of 0.147 ng/mL to 2.669 ng/mL. Two sheep blood samples were tested by the developed technique and the results were validated using enzyme-linked immunosorbent assay (ELISA). The results from the proposed technique match those from the ELISA.

  1. Smart Sensing Technology for Agriculture and Environmental Monitoring

    CERN Document Server

    2012-01-01

    The book focuses on the different aspects of sensing technology, i.e. high reliability, adaptability, recalibration, information processing, data fusion, validation and integration of novel and high performance sensors specifically aims to monitor agricultural and environmental parameters.   This book is dedicated to Sensing systems for Agricultural and Environmental Monitoring  offers to variety of users, namely, Master and PhD degree students, researchers, practitioners, especially Agriculture and Environmental engineers. The book will provide an opportunity of a dedicated and a deep approach in order to improve their knowledge in this specific field.

  2. Signal processing for remote sensing

    CERN Document Server

    Chen, CH

    2007-01-01

    Written by leaders in the field, Signal Processing for Remote Sensing explores the data acquisitions segment of remote sensing. Each chapter presents a major research result or the most up to date development of a topic. The book includes a chapter by Dr. Norden Huang, inventor of the Huang-Hilbert transform who, along with and Dr. Steven Long discusses the application of the transform to remote sensing problems. It also contains a chapter by Dr. Enders A. Robinson, who has made major contributions to seismic signal processing for over half a century, on the basic problem of constructing seism

  3. Monitoring the performance of Aux. Feedwater Pump using Smart Sensing Model

    International Nuclear Information System (INIS)

    No, Young Gyu; Seong, Poong Hyun

    2015-01-01

    Many artificial intelligence (AI) techniques equipped with learning systems have recently been proposed to monitor sensors and components in NPPs. Therefore, the objective of this study is the development of an integrity evaluation method for safety critical components such as Aux. feedwater pump, high pressure safety injection (HPSI) pump, etc. using smart sensing models based on AI techniques. In this work, the smart sensing model is developed at first to predict the performance of Aux. feedwater pump by estimating flowrate using group method of data handing (GMDH) method. If the performance prediction is achieved by this feasibility study, the smart sensing model will be applied to development of the integrity evaluation method for safety critical components. Also, the proposed algorithm for the performance prediction is verified by comparison with the simulation data of the MARS code for station blackout (SBO) events. In this study, the smart sensing model for the prediction performance of Aux. feedwater pump has been developed. In order to develop the smart sensing model, the GMDH algorithm is employed. The GMDH algorithm is the way to find a function that can well express a dependent variable from independent variables. This method uses a data structure similar to that of multiple regression models. The proposed GMDH model can accurately predict the performance of Aux

  4. Manufacturing of Smart Structures Using Fiber Placement Manufacturing Processes

    Science.gov (United States)

    Thomas, Matthew M.; Glowasky, Robert A.; McIlroy, Bruce E.; Story, Todd A.

    1996-01-01

    Smart structures research and development, with the ultimate aim of rapid commercial and military production of these structures, are at the forefront of the Synthesis and Processing of Intelligent Cost-Effective Structures (SPICES) program. As part of this ARPA-sponsored program, MDA-E is using fiber placement processes to manufacture integrated smart structure systems. These systems comprise advanced composite structures with embedded fiber optic sensors, shape memory alloys, piezoelectric actuators, and miniature accelerometers. Cost-effective approaches and solutions to smart material synthesis in the fiber-placement process, based upon integrated product development, are discussed herein.

  5. TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications.

    Science.gov (United States)

    Costa, Daniel G; Duran-Faundez, Cristian; Andrade, Daniel C; Rocha-Junior, João B; Peixoto, João Paulo Just

    2018-04-03

    Modern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relevance of the considered events, but efficient detection and classification of events of interest may be hard to achieve. In Smart City environments, several people spontaneously post information in social media about some event that is being observed and such information may be mined and processed for detection and classification of critical events. This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in Twitter , and the assignment of sensing priorities to source nodes. By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events.

  6. TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications

    Directory of Open Access Journals (Sweden)

    Daniel G. Costa

    2018-04-01

    Full Text Available Modern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relevance of the considered events, but efficient detection and classification of events of interest may be hard to achieve. In Smart City environments, several people spontaneously post information in social media about some event that is being observed and such information may be mined and processed for detection and classification of critical events. This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in Twitter, and the assignment of sensing priorities to source nodes. By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events.

  7. Remote Sensing Technologies and Geospatial Modelling Hierarchy for Smart City Support

    Science.gov (United States)

    Popov, M.; Fedorovsky, O.; Stankevich, S.; Filipovich, V.; Khyzhniak, A.; Piestova, I.; Lubskyi, M.; Svideniuk, M.

    2017-12-01

    The approach to implementing the remote sensing technologies and geospatial modelling for smart city support is presented. The hierarchical structure and basic components of the smart city information support subsystem are considered. Some of the already available useful practical developments are described. These include city land use planning, urban vegetation analysis, thermal condition forecasting, geohazard detection, flooding risk assessment. Remote sensing data fusion approach for comprehensive geospatial analysis is discussed. Long-term city development forecasting by Forrester - Graham system dynamics model is provided over Kiev urban area.

  8. REMOTE SENSING TECHNOLOGIES AND GEOSPATIAL MODELLING HIERARCHY FOR SMART CITY SUPPORT

    Directory of Open Access Journals (Sweden)

    M. Popov

    2017-12-01

    Full Text Available The approach to implementing the remote sensing technologies and geospatial modelling for smart city support is presented. The hierarchical structure and basic components of the smart city information support subsystem are considered. Some of the already available useful practical developments are described. These include city land use planning, urban vegetation analysis, thermal condition forecasting, geohazard detection, flooding risk assessment. Remote sensing data fusion approach for comprehensive geospatial analysis is discussed. Long-term city development forecasting by Forrester – Graham system dynamics model is provided over Kiev urban area.

  9. Smart Sensing Technologies for Structural Health Monitoring of Civil Engineering Structures

    Directory of Open Access Journals (Sweden)

    M. Sun

    2010-01-01

    Full Text Available Structural Health Monitoring (SHM aims to develop automated systems for the continuous monitoring, inspection, and damage detection of structures with minimum labour involvement. The first step to set up a SHM system is to incorporate a level of structural sensing capability that is reliable and possesses long term stability. Smart sensing technologies including the applications of fibre optic sensors, piezoelectric sensors, magnetostrictive sensors and self-diagnosing fibre reinforced composites, possess very important capabilities of monitoring various physical or chemical parameters related to the health and therefore, durable service life of structures. In particular, piezoelectric sensors and magnetorestrictive sensors can serve as both sensors and actuators, which make SHM to be an active monitoring system. Thus, smart sensing technologies are now currently available, and can be utilized to the SHM of civil engineering structures. In this paper, the application of smart materials/sensors for the SHM of civil engineering structures is critically reviewed. The major focus is on the evaluations of laboratory and field studies of smart materials/sensors in civil engineering structures.

  10. Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities

    Science.gov (United States)

    Sagl, Günther; Resch, Bernd; Blaschke, Thomas

    2015-01-01

    In this article we critically discuss the challenge of integrating contextual information, in particular spatiotemporal contextual information, with human and technical sensor information, which we approach from a geospatial perspective. We start by highlighting the significance of context in general and spatiotemporal context in particular and introduce a smart city model of interactions between humans, the environment, and technology, with context at the common interface. We then focus on both the intentional and the unintentional sensing capabilities of today’s technologies and discuss current technological trends that we consider have the ability to enrich human and technical geo-sensor information with contextual detail. The different types of sensors used to collect contextual information are analyzed and sorted into three groups on the basis of names considering frequently used related terms, and characteristic contextual parameters. These three groups, namely technical in situ sensors, technical remote sensors, and human sensors are analyzed and linked to three dimensions involved in sensing (data generation, geographic phenomena, and type of sensing). In contrast to other scientific publications, we found a large number of technologies and applications using in situ and mobile technical sensors within the context of smart cities, and surprisingly limited use of remote sensing approaches. In this article we further provide a critical discussion of possible impacts and influences of both technical and human sensing approaches on society, pointing out that a larger number of sensors, increased fusion of information, and the use of standardized data formats and interfaces will not necessarily result in any improvement in the quality of life of the citizens of a smart city. This article seeks to improve our understanding of technical and human geo-sensing capabilities, and to demonstrate that the use of such sensors can facilitate the integration of different

  11. Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities.

    Science.gov (United States)

    Sagl, Günther; Resch, Bernd; Blaschke, Thomas

    2015-07-14

    In this article we critically discuss the challenge of integrating contextual information, in particular spatiotemporal contextual information, with human and technical sensor information, which we approach from a geospatial perspective. We start by highlighting the significance of context in general and spatiotemporal context in particular and introduce a smart city model of interactions between humans, the environment, and technology, with context at the common interface. We then focus on both the intentional and the unintentional sensing capabilities of today's technologies and discuss current technological trends that we consider have the ability to enrich human and technical geo-sensor information with contextual detail. The different types of sensors used to collect contextual information are analyzed and sorted into three groups on the basis of names considering frequently used related terms, and characteristic contextual parameters. These three groups, namely technical in situ sensors, technical remote sensors, and human sensors are analyzed and linked to three dimensions involved in sensing (data generation, geographic phenomena, and type of sensing). In contrast to other scientific publications, we found a large number of technologies and applications using in situ and mobile technical sensors within the context of smart cities, and surprisingly limited use of remote sensing approaches. In this article we further provide a critical discussion of possible impacts and influences of both technical and human sensing approaches on society, pointing out that a larger number of sensors, increased fusion of information, and the use of standardized data formats and interfaces will not necessarily result in any improvement in the quality of life of the citizens of a smart city. This article seeks to improve our understanding of technical and human geo-sensing capabilities, and to demonstrate that the use of such sensors can facilitate the integration of different

  12. Smart sensors

    Science.gov (United States)

    Corsi, Carlo

    2006-08-01

    The term "Smart Sensors" refer to sensors which contain both sensing and signal processing capabilities with objectives ranging from simple viewing to sophisticated remote sensing, surveillance, search/track, weapon guidance, robotics, perceptronics and intelligence applications. In a broad sense, they include any sensor systems covering the whole electromagnetic spectrum: this paper deals specifically with a new class of smart sensors in infrared spectral bands whose developments started some years ago, when it was recognized that the rapid advances of "very large scale integration" (VLSI) processor technology and mosaic infrared detector array technology could be combined to develop new generations of infrared smart sensor systems with much improved performance. So, sophisticated signal processing operations have been developed for these new systems by integrating microcomputers and other VLSI signal processors within or next to the sensor arrays on the same focal plane avoiding complex computing located far away from the sensors. Recently this approach is achieving higher goals by a new and revolutionary sensors concept which introduce inside the sensor some of the basic function of living eyes, such as dynamic stare, dishomogenity compensation, spatial and temporal filtering. New objectives and requirements of these new focal plane processors are presented for this type of new infrared smart sensor systems. This paper is concerned with the processing techniques for only the front end of the focal plane processing, namely, the enhancement of target-to-noise ratio by background clutter suppression and the improvement in target detection by "smart" and pattern correlation threshold.

  13. Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

    Directory of Open Access Journals (Sweden)

    Feng Qian

    2017-04-01

    Full Text Available Given the significant requirements for transforming and promoting the process industry, we present the major limitations of current petrochemical enterprises, including limitations in decision-making, production operation, efficiency and security, information integration, and so forth. To promote a vision of the process industry with efficient, green, and smart production, modern information technology should be utilized throughout the entire optimization process for production, management, and marketing. To focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimization of the manufacturing process, operating mode, and supply chain management, we put forward several key scientific problems in engineering in a demand-driven and application-oriented manner, namely: ① intelligent sensing and integration of all process information, including production and management information; ② collaborative decision-making in the supply chain, industry chain, and value chain, driven by knowledge; ③ cooperative control and optimization of plant-wide production processes via human-cyber-physical interaction; and ④ life-cycle assessments for safety and environmental footprint monitoring, in addition to tracing analysis and risk control. In order to solve these limitations and core scientific problems, we further present fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Although this paper discusses the process industry in China, the conclusions in this paper can be extended to the process industry around the world.

  14. Developing upconversion nanoparticle-based smart substrates for remote temperature sensing

    Science.gov (United States)

    Coker, Zachary; Marble, Kassie; Alkahtani, Masfer; Hemmer, Philip; Yakovlev, Vladislav V.

    2018-02-01

    Recent developments in understanding of nanomaterial behaviors and synthesis have led to their application across a wide range of commercial and scientific applications. Recent investigations span from applications in nanomedicine and the development of novel drug delivery systems to nanoelectronics and biosensors. In this study, we propose the application of a newly engineered temperature sensitive water-based bio-compatible core/shell up-conversion nanoparticle (UCNP) in the development of a smart substrate for remote temperature sensing. We developed this smart substrate by dispersing functionalized nanoparticles into a polymer solution and then spin-coating the solution onto one side of a microscope slide to form a thin film substrate layer of evenly dispersed nanoparticles. By using spin-coating to deposit the particle solution we both create a uniform surface for the substrate while simultaneously avoid undesired particle agglomeration. Through this investigation, we have determined the sensitivity and capabilities of this smart substrate and conclude that further development can lead to a greater range of applications for this type smart substrate and use in remote temperature sensing in conjunction with other microscopy and spectroscopy investigations.

  15. Smart textile sensing system for human respiration monitoring based on fiber Bragg grating

    Science.gov (United States)

    Zhang, Cheng; Miao, Chang-yun; Li, Hong-qiang; Song, Hui-chao; Xu, Fan-jie

    2009-07-01

    Magnetic resonance imaging (MRI) has become an indispensable aid to diagnosis and treatment. As the doctor cannot accompany the patient, it is essential that the patient be monitored remotely to avoid the risk of respiration being impaired by anesthetic drugs or upper airway obstruction. A smart wearable textile sensing system is described in this paper. A fiber Bragg grating (FBG) with polymer encapsulation has been woven into an elastic bandage to detect the respiration motion. According to the strain principle of FBG, the breathing rate and intensity can be obtained by measuring the variety of FBG reflected wavelength. In order to eliminate the temperature cross-sensitivity, a FBG temperature sensor has also been woven into the bandage to achieve the temperature compensation computing. Based on the tunable Fabry-Perot filter wavelength demodulated theory, wavelength measuring method and data processing arithmetic have been presented, and the system with ARM microprocessor has been designed to process and display the breathing information. The experiments to the system have proved that the wavelength measuring range is about 40nm, the resolution of wavelength can arrive at 2pm, and the sampling rate is 5Hz.

  16. Smart bricks for strain sensing and crack detection in masonry structures

    Science.gov (United States)

    Downey, Austin; D'Alessandro, Antonella; Laflamme, Simon; Ubertini, Filippo

    2018-01-01

    The paper proposes the novel concept of smart bricks as a durable sensing solution for structural health monitoring of masonry structures. The term smart bricks denotes piezoresistive clay bricks with suitable electronics capable of outputting measurable changes in their electrical properties under changes in their state of strain. This feature can be exploited to evaluate stress at critical locations inside a masonry wall and to detect changes in loading paths associated with structural damage, for instance following an earthquake. Results from an experimental campaign show that normal clay bricks, fabricated in the laboratory with embedded electrodes made of a special steel for resisting the high baking temperature, exhibit a quite linear and repeatable piezoresistive behavior. That is a change in electrical resistance proportional to a change in axial strain. In order to be able to exploit this feature for strain sensing, high-resolution electronics are used with a biphasic DC measurement approach to eliminate any resistance drift due to material polarization. Then, an enhanced nanocomposite smart brick is proposed, where titania is mixed with clay before baking, in order to enhance the brick’s mechanical properties, improve its noise rejection, and increase its electrical conductivity. Titania was selected among other possible conductive nanofillers due to its resistance to high temperatures and its ability to improve the durability of construction materials while maintaining the aesthetic appearance of clay bricks. An application of smart bricks for crack detection in masonry walls is demonstrated by laboratory testing of a small-scale wall specimen under different loading conditions and controlled damage. Overall, it is demonstrated that a few strategically placed smart bricks enable monitoring of the state of strain within the wall and provide information that is capable of crack detection.

  17. SMART-1 highlights and relevant studies on early bombardment and geological processes on rocky planets

    International Nuclear Information System (INIS)

    Foing, B H; Koschny, D; Frew, D; Almeida, M; Zender, J; Heather, D; Peters, S; Racca, G D; Marini, A; Stagnaro, L; Josset, J L; Beauvivre, S; Grande, M; Kellett, B; Huovelin, J; Nathues, A; Mall, U; Ehrenfreund, P; McCannon, P

    2008-01-01

    We present results from SMART-1 science and technology payload, in the context of the Nobel symposium on 'Physics of Planetary Systems'. SMART-1 is Europe' first lunar mission (Foing et al 2000 LPSC XXXI Abstract 1677 (CDROM); Foing et al 2001 Earth, Moon Planets 85-86 523-31; Marini et al 2002 Adv. Space Res. 30 1895-900; Racca et al 2001 Earth Moon Planets 85-86 379-95, Racca et al 2002 Planet Space Sci. 50 1323-37) demonstrating technologies for future science and exploration missions, and providing advances in our understanding of lunar origin and evolution, and general planetary questions. The mission also contributes a step in developing an international program of lunar exploration. The spacecraft, launched on 27 September 2003 as an Ariane 5 Auxiliary passenger to geostationary transfer orbit (GTO), performed a 14-month long cruise using a tiny thrust of electric propulsion alone, reached lunar capture in November 2004, and lunar science orbit in March 2005. SMART-1 carried 7 hardware experiments (Foing et al 2003 Adv. Space Res. 31 2323, Foing et al 2005 LPI/LPSC XXXVI 2404 (CDROM)) performing 10 investigations, including 3 remote-sensing instruments, used during the cruise, the mission' nominal six-months and one-year extension in lunar science orbit. Three remote sensing instruments, D-CIXS, SIR and AMIE, have returned data that are relevant to a broad range of lunar studies. The mission provided regional and global x-ray measurements of the Moon, global high-spectral resolution NIR spectrometry, high spatial resolution colour imaging of selected regions. The South Pole-Aitken Basin (SPA) and other impact basins have been prime targets for studies using the SMART-1 suite of instruments. Combined, these should aid a large number of science studies, from bulk crustal composition and theories of lunar origin/evolution, the global and local crustal composition, to the search for cold traps at the lunar poles and the mapping of potential lunar resources. We

  18. Inferential smart sensing for feedwater flowrate in PWRs

    International Nuclear Information System (INIS)

    Na, M. G.; Hwang, I. J.; Lee, Y. J.

    2006-01-01

    The feedwater flowrate that is measured by Venturi flow meters in most pressurized water reactors can be over-measured because of the fouling phenomena that make corrosion products accumulate in the Venturi meters. Therefore, in this work, two kinds of methods, a support vector regression method and a fuzzy modeling method, combined with a sequential probability ratio test, are used in order to accurately estimate online the feedwater flowrate, and also to monitor the status of the existing hardware sensors. Also, the data for training the support vector machines and the fuzzy model are selected by using a subtractive clustering scheme to use informative data from among all acquired data. The proposed inferential sensing and monitoring algorithm is verified by using the acquired real plant data of Yonggwang Nuclear Power Plant Unit 3. In the simulations, it was known that the root mean squared error and the relative maximum error are so small and the proposed method early detects the degradation of an existing hardware sensor. (authors)

  19. Smart Photonic Carbon Brush: FBG Length as Sensing Parameter

    Science.gov (United States)

    Morozov, O. G.; Nureev, I. I.; Kuznetsov, A. A.; Artemiev, V. I.

    2018-04-01

    This article deals with problem of carbon brush’s length measurements. There are many applications where regular inspection is not feasible because of a number of factors including, for example, time, labor, cost and disruptions due to down time. Thus, there is a need for a system that can monitor the brush’s length to calculate it’s wear rate, while the component is in operation or without removing of the component from its operational position. We propose a novel method for characterization of carbon brush’s length. This method based on the usage of advantages of the multiplicative response of FBGs and FBG arrays: spectral parameters depend on several aspects, such as grating’s period, refractive index, it’s physical length and so on. We are the first, in our point of view, who proposed to use third parameter for sensing application and prospectively all three parameters for complex measurement: the change of FBG’s length is used to measure length of the brush and it’s wear rate, grating’s central wavelength shift for temperature (due to refractive index change) and mechanical stress (due to grating’s period variations) measurements. The results of modelling and experiments are presented.

  20. Inferential smart sensing for feedwater flowrate in PWRs

    Energy Technology Data Exchange (ETDEWEB)

    Na, M. G.; Hwang, I. J. [Nuclear Eng. Dept., Chosun Univ., 375 Seosuk-dong, Dong-gu, Gwangju 501-759 (Korea, Republic of); Lee, Y. J. [Nuclear and Energy Eng. Dept., Cheju National Univ., 1 Ara-il-dong, Jeju-do 690-756 (Korea, Republic of)

    2006-07-01

    The feedwater flowrate that is measured by Venturi flow meters in most pressurized water reactors can be over-measured because of the fouling phenomena that make corrosion products accumulate in the Venturi meters. Therefore, in this work, two kinds of methods, a support vector regression method and a fuzzy modeling method, combined with a sequential probability ratio test, are used in order to accurately estimate online the feedwater flowrate, and also to monitor the status of the existing hardware sensors. Also, the data for training the support vector machines and the fuzzy model are selected by using a subtractive clustering scheme to use informative data from among all acquired data. The proposed inferential sensing and monitoring algorithm is verified by using the acquired real plant data of Yonggwang Nuclear Power Plant Unit 3. In the simulations, it was known that the root mean squared error and the relative maximum error are so small and the proposed method early detects the degradation of an existing hardware sensor. (authors)

  1. Inspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid

    Directory of Open Access Journals (Sweden)

    Bat-erdene Byambasuren

    2016-02-01

    Full Text Available Smart sensing and power line tracking is very important in a smart grid system. Illegal electricity usage can be detected by remote current measurement on overhead power lines using an inspection robot. There is a need for accurate detection methods of illegal electricity usage. Stable and correct power line tracking is a very prominent issue. In order to correctly track and make accurate measurements, the swing path of a power line should be previously fitted and predicted by a mathematical function using an inspection robot. After this, the remote inspection robot can follow the power line and measure the current. This paper presents a new power line tracking method using parabolic and circle fitting algorithms for illegal electricity detection. We demonstrate the effectiveness of the proposed tracking method by simulation and experimental results.

  2. Inspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid.

    Science.gov (United States)

    Byambasuren, Bat-Erdene; Kim, Donghan; Oyun-Erdene, Mandakh; Bold, Chinguun; Yura, Jargalbaatar

    2016-02-19

    Smart sensing and power line tracking is very important in a smart grid system. Illegal electricity usage can be detected by remote current measurement on overhead power lines using an inspection robot. There is a need for accurate detection methods of illegal electricity usage. Stable and correct power line tracking is a very prominent issue. In order to correctly track and make accurate measurements, the swing path of a power line should be previously fitted and predicted by a mathematical function using an inspection robot. After this, the remote inspection robot can follow the power line and measure the current. This paper presents a new power line tracking method using parabolic and circle fitting algorithms for illegal electricity detection. We demonstrate the effectiveness of the proposed tracking method by simulation and experimental results.

  3. Smart Screening System (S3) In Taconite Processing

    Energy Technology Data Exchange (ETDEWEB)

    Daryoush Allaei; Asim Syed Mohammed; David Tarnowski; Angus Morison

    2005-03-01

    The conventional screening machines used in processing plants have had undesirable high noise and vibration levels. They also have had unsatisfactorily low screening efficiency, high energy consumption, high maintenance cost, low productivity, and poor worker safety. These conventional vibrating machines have been used in almost every processing plant. Most of the current material separation technology uses heavy and inefficient electric motors with an unbalanced rotating mass to generate the shaking. In addition to being excessively noisy, inefficient, and high-maintenance, these vibrating machines are often the bottleneck in the entire process. Furthermore, these motors, along with the vibrating machines and supporting structure, shake other machines and structures in the vicinity. The latter increases maintenance costs while reducing worker health and safety. The conventional vibrating fine screens at taconite processing plants have had the same problems as those listed above. This has resulted in lower screening efficiency, higher energy and maintenance cost, and lower productivity and workers safety concerns. The focus of this work is on the design of a high performance screening machine suitable for taconite processing plants. SmartScreens{trademark} technology uses miniaturized motors, based on smart materials, to generate the shaking. The underlying technologies are Energy Flow Control{trademark} and Vibration Control by Confinement{trademark}. These concepts are used to direct energy flow and confine energy efficiently and effectively to the screen function. The SmartScreens{trademark} technology addresses problems related to noise and vibration, screening efficiency, productivity, and maintenance cost and worker safety. Successful development of SmartScreens{trademark} technology will bring drastic changes to the screening and physical separation industry. The final designs for key components of the SmartScreens{trademark} have been developed. The key

  4. Piezoelectric-based smart sensing system for I-beam structural health monitoring

    Science.gov (United States)

    Zhang, Chen; Zhang, Haifeng; Yu, Tzuyang; Wang, Xingwei

    2016-04-01

    In recent decades, the I-beam has become one of the most important engineering structural components being applied in areas such as mechanical, civil, and constructional engineering. To ensure safety and proper maintenance, an effective and accurate structural health monitoring method/system for I-beams is urgently needed. This paper proposes a smart sensing system for I-beam crack detection that is based on the energy diffusivity (attenuation) between two individual piezoelectric transducers (PZTs). Sensor (one of the PZTs) responses are analyzed and applied to characterize the health status of the I-beam. Lab experiments are carried out for effective evaluation of this approach in structural health monitoring. The characteristics of crack distribution are studied by calculating and analyzing the energy diffusivity variation of the sensor responses to artificially cuttings to the I-beam. Moreover, instead of utilizing an actuator and a sensor, the system employs a couple of PZTs sensors, which offer the potential for in-field, in situ sensing with the sensor arrays. This smart sensing system can be applied in railway, metro, and iron-steel structures for I-beam health monitoring applications.

  5. Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities

    Directory of Open Access Journals (Sweden)

    Volker Lücken

    2018-01-01

    Full Text Available Traffic routing is a central challenge in the context of urban areas, with a direct impact on personal mobility, traffic congestion, and air pollution. In the last decade, the possibilities for traffic flow control have improved together with the corresponding management systems. However, the lack of real-time traffic flow information with a city-wide coverage is a major limiting factor for an optimum operation. Smart City concepts seek to tackle these challenges in the future by combining sensing, communications, distributed information, and actuation. This paper presents an integrated approach that combines smart street lamps with traffic sensing technology. More specifically, infrastructure-based ultrasonic sensors, which are deployed together with a street light system, are used for multilane traffic participant detection and classification. Application of these sensors in time-varying reflective environments posed an unresolved problem for many ultrasonic sensing solutions in the past and therefore widely limited the dissemination of this technology. We present a solution using an algorithmic approach that combines statistical standardization with clustering techniques from the field of unsupervised learning. By using a multilevel communication concept, centralized and decentralized traffic information fusion is possible. The evaluation is based on results from automotive test track measurements and several European real-world installations.

  6. Signal processing and control challenges for smart vehicles

    Science.gov (United States)

    Zhang, Hui; Braun, Simon G.

    2017-03-01

    Smart phones have changed not only the mobile phone market but also our society during the past few years. Could the next potential intelligent device may be the vehicle? Judging by the visibility, in all media, of the numerous attempts to develop autonomous vehicles, this is certainly one of the logical outcomes. Smart vehicles would be equipped with an advanced operating system such that the vehicles could communicate with others, optimize the operation to reduce fuel consumption and emissions, enhance safety, or even become self-driving. These combined new features of vehicles require instrumentation and hardware developments, fast signal processing/fusion, decision making and online optimization. Meanwhile, the inevitable increasing system complexity would certainly challenges the control unit design.

  7. Smart sensors and systems

    CERN Document Server

    Kyung, Chong-Min; Yasuura, Hiroto; Liu, Yongpan

    2015-01-01

     This book describes for readers technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoTs).  The authors provide a multidisciplinary view of sensor technology from MEMS, biological, chemical, and electrical domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc.  Unlike earlier books on sensors, this book will provide a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.  .

  8. Smart Secure Homes: A Survey of Smart Home Technologies that Sense, Assess, and Respond to Security Threats.

    Science.gov (United States)

    Dahmen, Jessamyn; Cook, Diane J; Wang, Xiaobo; Honglei, Wang

    2017-08-01

    Smart home design has undergone a metamorphosis in recent years. The field has evolved from designing theoretical smart home frameworks and performing scripted tasks in laboratories. Instead, we now find robust smart home technologies that are commonly used by large segments of the population in a variety of settings. Recent smart home applications are focused on activity recognition, health monitoring, and automation. In this paper, we take a look at another important role for smart homes: security. We first explore the numerous ways smart homes can and do provide protection for their residents. Next, we provide a comparative analysis of the alternative tools and research that has been developed for this purpose. We investigate not only existing commercial products that have been introduced but also discuss the numerous research that has been focused on detecting and identifying potential threats. Finally, we close with open challenges and ideas for future research that will keep individuals secure and healthy while in their own homes.

  9. A Smart Washer for Bolt Looseness Monitoring Based on Piezoelectric Active Sensing Method

    Directory of Open Access Journals (Sweden)

    Heyue Yin

    2016-10-01

    Full Text Available Piezoceramic based active sensing methods have been researched to monitor preload on bolt connections. However, there is a saturation problem involved with this type of method. The transmitted energy is sometimes saturated before the maximum preload which is due to it coming into contact with flat surfaces. When it comes to flat contact surfaces, the true contact area will easily saturate with the preload. The design of a new type of bolt looseness monitoring sensor, a smart washer, is to mitigate the saturation problem. The smart washer is composed of two annular disks with contact surfaces that are machined into convex and concave respectively, to eliminate the complete flat contact surfaces and to reduce the saturation effect. One piezoelectric patch is bonded on the non-contact surface of each annular disk. These two mating annular disks form a smart washer. One of the two piezoelectric patches serves as an actuator to generate an ultrasonic wave that propagates through the contact surface; the other one serves as a sensor to detect the propagated waves. The wave energy propagated through the contact surface is proportional to the true contact area which is determined by the bolt preload. The time reversal method is used to extract the peak of the focused signal as the index of the transmission wave energy; then, the relationship between the signal peak and bolt preload is obtained. Experimental results show that the focused signal peak value changes with the bolt preload and presents an approximate linear relationship when the saturation problem is experienced. The proposed smart washer can monitor the full range of the rated preload.

  10. Smart Soft-Sensing for the Feedwater Flowrate at PWRs Using a GMDH Algorithm

    Science.gov (United States)

    Lim, Dong Hyuk; Lee, Sung Han; Na, Man Gyun

    2010-02-01

    The thermal reactor power in pressurized water reactors (PWRs) is typically assessed using secondary system calorimetric calculations based on accurate measurements of the feedwater flowrate. Therefore, precise measurements of the feedwater flowrate are essential. In most PWRs, Venturi meters are used to measure the feedwater flowrate. However, the fouling phenomena of the Venturi meter deteriorate the accuracy of the existing hardware sensors. Consequently, it is essential to resolve the inaccurate measurements of the feedwater flowrate. In this study, in order to estimate the feedwater flowrate online with high precision, a smart soft sensing model for monitoring the feedwater flowrate was developed using a group method of data handling (GMDH) algorithm combined with a sequential probability ratio test (SPRT). The uncertainty of the GMDH model was also analyzed. The proposed sensing and monitoring algorithm was verified using the acquired real plant data from Yonggwang Nuclear Power Plant Unit 3.

  11. SmartAQnet: remote and in-situ sensing of urban air quality

    Science.gov (United States)

    Budde, Matthias; Riedel, Till; Beigl, Michael; Schäfer, Klaus; Emeis, Stefan; Cyrys, Josef; Schnelle-Kreis, Jürgen; Philipp, Andreas; Ziegler, Volker; Grimm, Hans; Gratza, Thomas

    2017-10-01

    Air quality and the associated subjective and health-related quality of life are among the important topics of urban life in our time. However, it is very difficult for many cities to take measures to accommodate today's needs concerning e.g. mobility, housing and work, because a consistent fine-granular data and information on causal chains is largely missing. This has the potential to change, as today, both large-scale basic data as well as new promising measuring approaches are becoming available. The project "SmartAQnet", funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI), is based on a pragmatic, data driven approach, which for the first time combines existing data sets with a networked mobile measurement strategy in the urban space. By connecting open data, such as weather data or development plans, remote sensing of influencing factors, and new mobile measurement approaches, such as participatory sensing with low-cost sensor technology, "scientific scouts" (autonomous, mobile smart dust measurement device that is auto-calibrated to a high-quality reference instrument within an intelligent monitoring network) and demand-oriented measurements by light-weight UAVs, a novel measuring and analysis concept is created within the model region of Augsburg, Germany. In addition to novel analytics, a prototypical technology stack is planned which, through modern analytics methods and Big Data and IoT technologies, enables application in a scalable way.

  12. Smart membranes for monitoring membrane based desalination processes

    KAUST Repository

    Laleg-Kirati, Taous-Meriem

    2017-10-12

    Various examples are related to smart membranes for monitoring membrane based process such as, e.g., membrane distillation processes. In one example, a membrane, includes a porous surface and a plurality of sensors (e.g., temperature, flow and/or impedance sensors) mounted on the porous surface. In another example, a membrane distillation (MD) process includes the membrane. Processing circuitry can be configured to monitor outputs of the plurality of sensors. The monitored outputs can be used to determine membrane degradation, membrane fouling, or to provide an indication of membrane replacement or cleaning. The sensors can also provide temperatures or temperature differentials across the porous surface, which can be used to improve modeling or control the MD process.

  13. Solution-Processed Smart Window Platforms Based on Plasmonic Electrochromics

    KAUST Repository

    Abbas, Sara

    2018-04-30

    Electrochromic smart windows offer a viable route to reducing the consumption of buildings energy, which represents about 30% of the worldwide energy consumption. Smart windows are far more compelling than current static windows in that they can dynamically modulate the solar spectrum depending on climate and lighting conditions or simply to meet personal preferences. The latest generation of smart windows relies on nominally transparent metal oxide nanocrystal materials whose chromism can be electrochemically controlled using the plasmonic effect. Plasmonic electrochromic materials selectively control the near infrared (NIR) region of the solar spectrum, responsible for solar heat, without affecting the visible transparency. This is in contrast to conventional electrochromic materials which block both the visible and NIR and thus enables electrochromic devices to reduce the energy consumption of a building or a greenhouse in warm climate regions due to enhancements of both visible lighting and heat blocking. Despite this edge, this technology can benefit from important developments, including low-cost solution-based manufacturing on flexible substrates while maintaining durability and coloration efficiency, demonstration of independent control in the NIR and visible spectra, and demonstration of self-powering capabilities. This thesis is focused on developing low-temperature and all-solution processed plasmonic electrochromic devices and dual-band electrochromic devices. We demonstrate new device fabrication approaches in terms of materials and processes which enhance electrochromic performance all the while maintaining low processing temperatures. Scalable fabrication methods are used to highlight compatibility with high throughput, continuous roll-to-roll fabrication on flexible substrates. In addition, a dualband plasmonic electrochromic device was developed by combining the plasmonic layer with a conventional electrochromic ion storage layer. This enables

  14. The Work Smart Standards process at Jefferson Lab

    International Nuclear Information System (INIS)

    The Thomas Jefferson National Accelerator Facility (Jefferson Lab) has developed a set of Work Smart Standards for the Lab. The effort incorporated the Lab's performance-based contract into the Necessary and Sufficient (N and S) Standards identification process of the DOE. A rigorous protocol identified hazards in the workplace and standards that provide adequate protection of workers, public, and the environment at reasonable cost. The intensive process was a joint effort between the Lab and DOE and it required trained teams of knowledgeable experts in three fields: (1) actual required work conditions at Jefferson Lab; (2) laws, regulations, DOE directives and performance-based contracts; and (3) Environmental Health and Safety (EH and S), Rad Con, and QA. The criteria for selection of the teams, the database designed and used for the process, and lessons learned are discussed

  15. A new approach in Supply Chain ProcessesSmart Logistics

    Directory of Open Access Journals (Sweden)

    Bucovetchi Olga

    2017-01-01

    Full Text Available Globalization is progressing steadily and cannot be stopped. Through existing technologies, this process will be accelerated further. Entire professions and industries, as well as government and politics, must constantly adapt to this process. Many things can be created quickly, which, in turn, creates more vulnerability. These changes are supported by different technologies, which also change rapidly, not to mention the perception of time influencing people’s awareness. Things are faster and sometimes more fragile. In this context, supply chain is perceived as a mean of expressing globalization. The present paper emphasizes the switch of paradigm from classic logistics to smart logistics. The authors analysed several prestigious reports (released by World Economic Forum, Oxford Martin Commission for Future Generations, IEEE Computer Society, etc. to highlight the global trends in supply chain processes. The main objective of the research is to shape the near future of logistics to prepare the production and transportation industry for change.

  16. New Liquid Crystal Smart Window and its Production Process (SmartWin II)

    DEFF Research Database (Denmark)

    Jensen, Karsten Ingerslev

    2005-01-01

    and complementary directions: - increased modulation magnitude of the light flux (reflective band broadening up to 240 nm), - obtain near perfect reflective state and - having a glazing with only one reflective face. A concept study – including simulations - of the optimal pattern and shape for SmartWin II windows......This project is an example of applied nanotechnology, namely development of a smart window with three operating mode by means of Polymer Network Liquid Crystal (PNLC). The main objective is the implementation, owing to the conception and the realisation of a pre-industrial machine, of a smart...... as well as realisation and scaling-up of switch-able patterned glass samples for smart windows. A market assessment study of smart windows have been carried out and by taking into account e.g. the fenestration markets, functionality and cost of currently available daylight systems, and it shows a very...

  17. Smart Sensing Strip Using Monolithically Integrated Flexible Flow Sensor for Noninvasively Monitoring Respiratory Flow.

    Science.gov (United States)

    Jiang, Peng; Zhao, Shuai; Zhu, Rong

    2015-12-15

    This paper presents a smart sensing strip for noninvasively monitoring respiratory flow in real time. The monitoring system comprises a monolithically-integrated flexible hot-film flow sensor adhered on a molded flexible silicone case, where a miniaturized conditioning circuit with a Bluetooth4.0 LE module are packaged, and a personal mobile device that wirelessly acquires respiratory data transmitted from the flow sensor, executes extraction of vital signs, and performs medical diagnosis. The system serves as a wearable device to monitor comprehensive respiratory flow while avoiding use of uncomfortable nasal cannula. The respiratory sensor is a flexible flow sensor monolithically integrating four elements of a Wheatstone bridge on single chip, including a hot-film resistor, a temperature-compensating resistor, and two balancing resistors. The monitor takes merits of small size, light weight, easy operation, and low power consumption. Experiments were conducted to verify the feasibility and effectiveness of monitoring and diagnosing respiratory diseases using the proposed system.

  18. Novel Pressure-Sensing Smart Insole System Used for the Prevention of Pressure Ulceration in the Insensate Foot

    Directory of Open Access Journals (Sweden)

    Allyson R. Alfonso, BS, BA

    2017-12-01

    Full Text Available Summary:. Wounds of the foot challenge reconstructive surgeons to manage multiple factors: sensibility, stability, and durability. In this article, we focus on the insensate foot, which poses challenges to wound prevention with its propensity to develop pressure ulceration. The authors present the innovative use of a pressure-sensing smart insole system (SurroSense Rx, Orpyx Medical Technologies Inc., Calgary, Canada in the management of the insensate foot in a patient following foot reconstruction. The pressure-sensing smart insole system provided unique feedback to both patient and provider in ways that contributed to the prevention of pressure ulcer recurrence, as well as highlight the importance of prescribed footwear in both the affected and unaffected foot. Wearable real-time monitoring and feedback faces the challenge of patient adherence. Future studies are indicated to examine the specific behaviors that are associated with favorable outcomes and long-term behavior changes.

  19. Semantic Approach to Smart Home Data Aggregation Multi-sensor Data Processing for Smart Environments

    Directory of Open Access Journals (Sweden)

    Fano Ramparany

    2016-04-01

    Full Text Available One salient feature of data produced by the IoT is its heterogeneity. Despite this heterogeneity, future IoT applications including Smart Home, Smart City, Smart Energy services, will require that all data be easily compared, correlated and merged, and that interpretation of this resulting aggregate into higher level context better matches people needs and requirements. In this paper we propose a framework based on semantic technologies for aggregating IoT data. Our approach has been assessed in the domain of the Smart Home with real data provided by Orange Homelive solution. We show that our approach enables simple reasoning mechanisms to be conducted on the aggregated data, so that contexts such as the presence, activities of people as well as abnormal situations requiring corrective actions, be inferred.

  20. Optimisation of sensing time and transmission time in cognitive radio-based smart grid networks

    Science.gov (United States)

    Yang, Chao; Fu, Yuli; Yang, Junjie

    2016-07-01

    Cognitive radio (CR)-based smart grid (SG) networks have been widely recognised as emerging communication paradigms in power grids. However, a sufficient spectrum resource and reliability are two major challenges for real-time applications in CR-based SG networks. In this article, we study the traffic data collection problem. Based on the two-stage power pricing model, the power price is associated with the efficient received traffic data in a metre data management system (MDMS). In order to minimise the system power price, a wideband hybrid access strategy is proposed and analysed, to share the spectrum between the SG nodes and CR networks. The sensing time and transmission time are jointly optimised, while both the interference to primary users and the spectrum opportunity loss of secondary users are considered. Two algorithms are proposed to solve the joint optimisation problem. Simulation results show that the proposed joint optimisation algorithms outperform the fixed parameters (sensing time and transmission time) algorithms, and the power cost is reduced efficiently.

  1. A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City Applications.

    Science.gov (United States)

    Costa, Daniel G; Collotta, Mario; Pau, Giovanni; Duran-Faundez, Cristian

    2017-01-05

    The advance of technologies in several areas has allowed the development of smart city applications, which can improve the way of life in modern cities. When employing visual sensors in that scenario, still images and video streams may be retrieved from monitored areas, potentially providing valuable data for many applications. Actually, visual sensor networks may need to be highly dynamic, reflecting the changing of parameters in smart cities. In this context, characteristics of visual sensors and conditions of the monitored environment, as well as the status of other concurrent monitoring systems, may affect how visual sensors collect, encode and transmit information. This paper proposes a fuzzy-based approach to dynamically configure the way visual sensors will operate concerning sensing, coding and transmission patterns, exploiting different types of reference parameters. This innovative approach can be considered as the basis for multi-systems smart city applications based on visual monitoring, potentially bringing significant results for this research field.

  2. Context-Aware Mobile Sensors for Sensing Discrete Events in Smart Environment

    OpenAIRE

    Ahmad, Awais; Rathore, M. Mazhar; Paul, Anand; Hong, Won-Hwa; Seo, HyunCheol

    2016-01-01

    Over the last few decades, several advancements in the field of smart environment gained importance, so the experts can analyze ideas for smart building based on embedded systems to minimize the expense and energy conservation. Therefore, propelling the concept of smart home toward smart building, several challenges of power, communication, and sensors’ connectivity can be seen. Such challenges distort the interconnectivity between different technologies, such as Bluetooth and ZigBee, making ...

  3. Design of a High Performance Green-Mode PWM Controller IC with Smart Sensing Protection Circuits

    Directory of Open Access Journals (Sweden)

    Shen-Li Chen

    2014-08-01

    Full Text Available A design of high performance green-mode pulse-width-modulation (PWM controller IC with smart sensing protection circuits for the application of lithium-ion battery charger (1.52 V ~ 7.5 V is investigated in this paper. The protection circuits architecture of this system mainly bases on the lithium battery function and does for the system design standard of control circuit. In this work, the PWM controller will be with an automatic load sensing and judges the system operated in the operating mode or in the standby mode. Therefore, it reduces system’s power dissipation effectively and achieves the saving power target. In the same time, many protection sensing circuits such as: (1 over current protection (OCP and under current protection (UCP, (2 over voltage protection (OVP and under voltage protection (UVP, (3 loading determintion and short circuit protection (SCP, (4 over temperature protection (OTP, (5 VDD surge-spiking protection are included. Then, it has the characteristics of an effective monitoring the output loading and the harm prevention as a battery charging. Eventually, this green-mode pulse-width-modulation (PWM controller IC will be that the operation voltage is 3.3 V, the operation frequency is 0.98 MHz, and the output current range is from 454 mA to 500 mA. Meanwhile, the output convert efficiency is range from 74.8 % to 91 %, the power dissipation efficiency in green-mode is 25 %, and the operation temperature range is between -20 0C ~ 114 0C.

  4. Network control stations in the smart grid. Process and information knots for business intelligence applications; Netzleitstellen im Smart Grid. Prozess- und Informationsknoten fuer Business Intelligence Applikationen

    Energy Technology Data Exchange (ETDEWEB)

    Kautsch, Stephan; Kroll, Meinhard [ABB AG, Mannheim (Germany); Schoellhorn, Daniel [EnBW Regional AG, Stuttgart (Germany)

    2012-07-01

    The degree of automation in the distribution will increase, whereas a more extensive monitoring is possible. Smart metering in the local network station replaces the drag pointers. This allows the pre-determined load flows to be precise and it can be determined and valuable data can be collected about how resources, for example the transformers in the secondary substations, are actually utilized. The amount of information available is increasing steadily, not least because of the increasing expansion of smart meters, that also provide valuable information for the operation of the distribution networks. This ''flood'' of data that is processed by the system, filtered, and analyzed must be prepared for the user in order to make sense, but can also be used to support and optimize many business processes. Although these tasks mentioned are usually not yet allocated within the grid operator organization, they offer themselves to be placed close to the network control centers as they propose new challenges but also opportunities. (orig.)

  5. New Liquid Crystal Smart Window and its Production Process (SmartWin II)

    DEFF Research Database (Denmark)

    Jensen, Karsten Ingerslev; Kristiansen, Finn Harken; Schultz, Jørgen Munthe

    2005-01-01

    large market potential for this technology. Conception and realisation of a pre-industrial machine for manufacturing smart windows were obtained. By means of this pre-industrial machine, the sample surface area was progressive increased from lab-scale (approx. 10 cm sq.) up to 60 cm x 80 cm at Mid-Term...

  6. Development of LTCC smart channels for integrated chemical, temperature, and flow sensing.

    Energy Technology Data Exchange (ETDEWEB)

    Peterson, Kenneth Allen; McGrath, Lucas K.; Ho, Clifford Kuofei; Turner, Timothy Shawn

    2006-02-01

    This paper describes the development of 'smart' channels that can be used simultaneously as a fluid channel and as an integrated chemical, temperature, and flow sensor. The uniqueness of this device lies in the fabrication and processing of low-temperature co-fired ceramic (LTCC) materials that act as the common substrate for both the sensors and the channel itself. Devices developed in this study have employed rolled LTCC tubes, but grooves or other channel shapes can be fabricated depending on the application requirements. The chemical transducer is fabricated by depositing a conductive polymer 'ink' across a pair of electrodes that acts as a chemical resistor (chemiresistor) within the rolled LTCC tube. Volatile organic compounds passing through the tube are absorbed into the polymers, causing the polymers to reversibly swell and change in electrical resistance. The change in resistance is calibrated to the chemical concentration. Multiple chemiresistors have been integrated into a single smart channel to provide chemical discrimination through the use of different polymers. A heating element is embedded in the rolled tube to maintain a constant temperature in the vicinity of the chemical sensors. Thick-film thermistor lines are printed to monitor the temperature near the chemical sensor and at upstream locations to monitor the incoming ambient flow. The thermistors and heating element are used together as a thermal anemometer to measure the flow rate through the tube. Configurations using both surface-printed and suspended thermistors have been evaluated.

  7. SmartHome: a domotic framework based on smart sensing and actuator network to reduce energy wastes

    Science.gov (United States)

    Santamaria, Amilcare Francesco; De Rango, Floriano; Falbo, Domenico; Barletta, Domenico

    2014-05-01

    Domestic environment and human interaction with services supplied by domotic devices is going to be a very interesting application field. With a domotic system is possible to achieve great interaction between human beings, environments and smart devices. The enhancing of these interactions is the main goal of this work whose intent is to improve the classic concept of domotics. The framework we developed can be used for several application fields such as lighting, heating, conditioning or water management and energy consumption. In particular, the proposed system can optimize energy consumptions by rising awareness to users that have full control of their house and the possibility to save money and reduce the impact of the energetic consumes to the earth, matching the new "green" motto requirements. In this way, the overall system wants to match the central concept of Internet Of Things (IoT) as well. From this point of view a complex automation system with smart devices make possible a more efficient way to produce, follow and manage domotic policies. Following the spread of IoT, for this work we designed and implemented new plug-and-play and ready-to-use smart devices that are part of a complex automation system that offers a user-friendly web application and allows users to control and interact with different plans of their house in order to make life more comfortable and be aware of their energy consumptions. Control and awareness arc the two key points that led us to develop the proposed system.

  8. A Deformable Smart Skin for Continuous Sensing Based on Electrical Impedance Tomography

    Directory of Open Access Journals (Sweden)

    Francesco Visentin

    2016-11-01

    Full Text Available In this paper, we present a low-cost, adaptable, and flexible pressure sensor that can be applied as a smart skin over both stiff and deformable media. The sensor can be easily adapted for use in applications related to the fields of robotics, rehabilitation, or costumer electronic devices. In order to remove most of the stiff components that block the flexibility of the sensor, we based the sensing capability on the use of a tomographic technique known as Electrical Impedance Tomography. The technique allows the internal structure of the domain under study to be inferred by reconstructing its conductivity map. By applying the technique to a material that changes its resistivity according to applied forces, it is possible to identify these changes and then localise the area where the force was applied. We tested the system when applied to flat and curved surfaces. For all configurations, we evaluate the artificial skin capabilities to detect forces applied over a single point, over multiple points, and changes in the underlying geometry. The results are all promising, and open the way for the application of such sensors in different robotic contexts where deformability is the key point.

  9. A Deformable Smart Skin for Continuous Sensing Based on Electrical Impedance Tomography

    Science.gov (United States)

    Visentin, Francesco; Fiorini, Paolo; Suzuki, Kenji

    2016-01-01

    In this paper, we present a low-cost, adaptable, and flexible pressure sensor that can be applied as a smart skin over both stiff and deformable media. The sensor can be easily adapted for use in applications related to the fields of robotics, rehabilitation, or costumer electronic devices. In order to remove most of the stiff components that block the flexibility of the sensor, we based the sensing capability on the use of a tomographic technique known as Electrical Impedance Tomography. The technique allows the internal structure of the domain under study to be inferred by reconstructing its conductivity map. By applying the technique to a material that changes its resistivity according to applied forces, it is possible to identify these changes and then localise the area where the force was applied. We tested the system when applied to flat and curved surfaces. For all configurations, we evaluate the artificial skin capabilities to detect forces applied over a single point, over multiple points, and changes in the underlying geometry. The results are all promising, and open the way for the application of such sensors in different robotic contexts where deformability is the key point. PMID:27854325

  10. Smart Sensing Strip Using Monolithically Integrated Flexible Flow Sensor for Noninvasively Monitoring Respiratory Flow

    Directory of Open Access Journals (Sweden)

    Peng Jiang

    2015-12-01

    Full Text Available This paper presents a smart sensing strip for noninvasively monitoring respiratory flow in real time. The monitoring system comprises a monolithically-integrated flexible hot-film flow sensor adhered on a molded flexible silicone case, where a miniaturized conditioning circuit with a Bluetooth4.0 LE module are packaged, and a personal mobile device that wirelessly acquires respiratory data transmitted from the flow sensor, executes extraction of vital signs, and performs medical diagnosis. The system serves as a wearable device to monitor comprehensive respiratory flow while avoiding use of uncomfortable nasal cannula. The respiratory sensor is a flexible flow sensor monolithically integrating four elements of a Wheatstone bridge on single chip, including a hot-film resistor, a temperature-compensating resistor, and two balancing resistors. The monitor takes merits of small size, light weight, easy operation, and low power consumption. Experiments were conducted to verify the feasibility and effectiveness of monitoring and diagnosing respiratory diseases using the proposed system.

  11. Real-Time Smart Tools for Processing Spectroscopy Data, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — We propose novel and real-time smart software tools to process spectroscopy data. Material abundance or compositional maps will be generated for rover guidance,...

  12. Distributed Aerodynamic Sensing and Processing Toolbox

    Science.gov (United States)

    Brenner, Martin; Jutte, Christine; Mangalam, Arun

    2011-01-01

    A Distributed Aerodynamic Sensing and Processing (DASP) toolbox was designed and fabricated for flight test applications with an Aerostructures Test Wing (ATW) mounted under the fuselage of an F-15B on the Flight Test Fixture (FTF). DASP monitors and processes the aerodynamics with the structural dynamics using nonintrusive, surface-mounted, hot-film sensing. This aerodynamic measurement tool benefits programs devoted to static/dynamic load alleviation, body freedom flutter suppression, buffet control, improvement of aerodynamic efficiency through cruise control, supersonic wave drag reduction through shock control, etc. This DASP toolbox measures local and global unsteady aerodynamic load distribution with distributed sensing. It determines correlation between aerodynamic observables (aero forces) and structural dynamics, and allows control authority increase through aeroelastic shaping and active flow control. It offers improvements in flutter suppression and, in particular, body freedom flutter suppression, as well as aerodynamic performance of wings for increased range/endurance of manned/ unmanned flight vehicles. Other improvements include inlet performance with closed-loop active flow control, and development and validation of advanced analytical and computational tools for unsteady aerodynamics.

  13. Regional processes in Hungary - From PHARE to Smart specialisation

    Directory of Open Access Journals (Sweden)

    Viktória Józsa

    2016-12-01

    Full Text Available Europeanisation and regionalization, European convergence versus local divergence are important and timely questions as regards the future of EU cohesion policy, that originally aimed to reduce economic, social and territorial inequalities. Recently, it does not solely support regional development and stimulate modernization processes, but also aims to advance competitiveness, job creation, innovation, and sustainable growth and development (Europe 2020 strategy, especially at the sub-national level. The comparison of regional processes, institutional systems, experience and the originating potential future scenarios of transition economies are interesting but yet under-examined fields of study. Is there a specific way (trajectory of regionalization in transition economies, or practices vary from country to country? Do EU level policy changes affect national and sub-national level institutions and processes and if yes, for what extent? PHARE programmes were introduced in the early 1990s, short after the change of regime, and following the EU accession, Structural Funds have become the main public financial instruments in these countries, accompanied with a massive foreign direct investment flow. The subsequent EU programming periods and the connected terminology have been predominantly shaping regional policy in these countries; Operational Programmes, Action Plans, Logical Framework Approach, Project fiches, Regional Innovation Strategies, Local Action Groups, Competitiveness Poles, Clustering, Smart Specialisation, Re-industrialisation are only a few keywords that describe this era. The objective of this study is to present a qualitative framework to the evaluation of the period from 1990 to 2015 in Hungary, as a case study of the transition economies, with the identification of the most important milestones and tendencies of regionalization. The relevance of the research is supported by the recent elimination of the NUTS II (regional level

  14. Necessary and Sufficient Process leading to Work Smart Standards. Final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-11-01

    The Necessary and Sufficient Process leading to Work Smart Standards is a Department of Energy initiative to assure adequate protection for workers, the public, and the environment. The Work Smart Standards initiative directs the Laboratory to develop a set of ES and H standards based on the work performed at the Laboratory and the hazards associated with the work. Berkeley Lab`s set of Work Smart Standards includes required Federal, State and local laws and, additionally, national and international standards which represent the highest operating standards of industrial and commercial institutions.

  15. Necessary and Sufficient Process leading to Work Smart Standards. Final report

    International Nuclear Information System (INIS)

    1996-11-01

    The Necessary and Sufficient Process leading to Work Smart Standards is a Department of Energy initiative to assure adequate protection for workers, the public, and the environment. The Work Smart Standards initiative directs the Laboratory to develop a set of ES and H standards based on the work performed at the Laboratory and the hazards associated with the work. Berkeley Lab's set of Work Smart Standards includes required Federal, State and local laws and, additionally, national and international standards which represent the highest operating standards of industrial and commercial institutions

  16. Cognitive radio networks efficient resource allocation in cooperative sensing, cellular communications, high-speed vehicles, and smart grid

    CERN Document Server

    Jiang, Tao; Cao, Yang

    2015-01-01

    PrefaceAcknowledgmentsAbout the AuthorsIntroductionCognitive Radio-Based NetworksOpportunistic Spectrum Access NetworksCognitive Radio Networks with Cooperative SensingCognitive Radio Networks for Cellular CommunicationsCognitive Radio Networks for High-Speed VehiclesCognitive Radio Networks for a Smart GridContent and OrganizationTransmission Slot Allocation in an Opportunistic Spectrum Access NetworkSingle-User Single-Channel System ModelProbabilistic Slot Allocation SchemeOptimal Probabilistic Slot AllocationBaseline PerformanceExponential DistributionHyper-Erlang DistributionPerformance An

  17. Smart Sensing of the Aux. Feed-water Pump Performance in NPP Severe Accidents Using Advanced GMDH Method

    Energy Technology Data Exchange (ETDEWEB)

    No, Young Gyu; Seong, Poong Hyun [KAIST, Daejeon (Korea, Republic of)

    2016-05-15

    In order to develop and verify the models, a number of data obtained by simulating station black out (SBO) scenario for the optimized power reactor 1000 (OPR1000) using MARS code were used. Most of monitoring systems for component have been suggested by using the directly measured data. However, it is very difficult to acquire data related to safety-critical component' status. Therefore, it is necessary to develop the new method that combines the data-based equipped with learning system and data miming technique. Many data-based modeling methods have been applied successfully to nuclear engineering area, such as signal validation, plant diagnostics and event identification. Also, the data miming is the process of analyzing data from different perspectives and summarizing it into useful information. In this study, the smart sensing technique was developed using advanced group method of data handing (GMDH) model. The original GMDH is an inductive self organizing algebraic model. The advanced GMDH model is equipped with a fuzzy concept. The proposed advanced GMDH model enhances the original GMDH model by reducing the effect of outliers and noise. The advanced GMDH uses different weightings according to their importance which is specified by the fuzzy membership grade. The developed model was verified using SBO accident simulation data for the OPR1000 nuclear power plant acquired with MARS code. Also, the advanced GMDH model was trained using the simulated development data and verified with simulated test data. The development and test data sets were independent. The simulation results show that the performance of the developed advanced GMDH model was very satisfactory, as shown in Table 1. Therefore, if the developed model can be optimized using diverse and specific data, it will be possible to predict the performance of Aux. feed water pump accurately.

  18. Sensing Models and Sensor Network Architectures for Transport Infrastructure Monitoring in Smart Cities

    Science.gov (United States)

    Simonis, Ingo

    2015-04-01

    Transport infrastructure monitoring and analysis is one of the focus areas in the context of smart cities. With the growing number of people moving into densely populated urban metro areas, precise tracking of moving people and goods is the basis for profound decision-making and future planning. With the goal of defining optimal extensions and modifications to existing transport infrastructures, multi-modal transport has to be monitored and analysed. This process is performed on the basis of sensor networks that combine a variety of sensor models, types, and deployments within the area of interest. Multi-generation networks, consisting of a number of sensor types and versions, are causing further challenges for the integration and processing of sensor observations. These challenges are not getting any smaller with the development of the Internet of Things, which brings promising opportunities, but is currently stuck in a type of protocol war between big industry players from both the hardware and network infrastructure domain. In this paper, we will highlight how the OGC suite of standards, with the Sensor Web standards developed by the Sensor Web Enablement Initiative together with the latest developments by the Sensor Web for Internet of Things community can be applied to the monitoring and improvement of transport infrastructures. Sensor Web standards have been applied in the past to pure technical domains, but need to be broadened now in order to meet new challenges. Only cross domain approaches will allow to develop satisfying transport infrastructure approaches that take into account requirements coming form a variety of sectors such as tourism, administration, transport industry, emergency services, or private people. The goal is the development of interoperable components that can be easily integrated within data infrastructures and follow well defined information models to allow robust processing.

  19. Integrated Sensing and Processing in Missile Systems

    National Research Council Canada - National Science Library

    Schmitt, Harry

    2004-01-01

    ..., future systems will require that the sensing and computation be jointly engineered. ISP is a philosophy/methodology that eliminates the traditional separation between physical and algorithmic design...

  20. Landscape Design Process of Lakewood Nava Park BSD City Based on Smart Growth Concept

    Science.gov (United States)

    Islami, M. Z.; Kaswanto, R. L.

    2017-10-01

    A comfortable and green housing area in a city is a must for the people live in a city. The rapid development in a city caused greater need for land. This problem happens simultaneously with environmental problem globally such as growing number of people, pollution, excessive exploitation of resource, and decreasing in ethic of land uses. The design of Lakewood Nava Park BSD City prioritizes on pedestrian and walkable environment to apprehend those problems. Lakewood Nava Park is a landscape design project conducted by landscape consultant company, Sheils Flynn Asia. The concept of Smart Growth used as a recommendation for Lakewood Nava Park design. Smart Growth is a city planning and transportation theory which expand a city into a walkable city. The method used on this research is a comparison between landscape design process and Booth theory, also analyze ten principle concept of Smart Growth at the project. Generally, the comparison between design process and Booth theory resulted a slight difference in term and separate phase. The analysis result from Smart Growth concept is around 70% has been applied, and the rest 30% applied after the design has been built. By using Smart Growth principle, the purpose of Lakewood Nava Park design can be applied well.

  1. Smart specialisation as a process tool in lower-tier territories

    DEFF Research Database (Denmark)

    Drejer, Ina; Laursen, Lea Louise Holst

    The paper focuses on the potential of combining the smart specialization – and the associated quadruple helix – framework with a place-specific planning perspective in proposing as process tool for organizing business development in small and medium-sized non-urban, lower-tier territories....... The analysis is based on the study of three Danish cases that are unconventional in a smart specialization context, because R&D and technology is not necessarily at the core of the development processes. Thus, the cases are in accordance with Arnkil et al. (2010) in illustrating that extending the triple helix...... to a quadruple helix enables a larger variety of innovations - including innovations based on user knowledge rather than technology and/or research based knowledge. The paper illustrates how smart specialization can be executed in practice in local communities and how the involvement of different types of actors...

  2. Helping Students Make Sense of Graphs: An Experimental Trial of SmartGraphs Software

    Science.gov (United States)

    Zucker, Andrew; Kay, Rachel; Staudt, Carolyn

    2014-01-01

    Graphs are commonly used in science, mathematics, and social sciences to convey important concepts; yet students at all ages demonstrate difficulties interpreting graphs. This paper reports on an experimental study of free, Web-based software called SmartGraphs that is specifically designed to help students overcome their misconceptions regarding…

  3. Monitoring landscape level processes using remote sensing of large plots

    Science.gov (United States)

    Raymond L. Czaplewski

    1991-01-01

    Global and regional assessaents require timely information on landscape level status (e.g., areal extent of different ecosystems) and processes (e.g., changes in land use and land cover). To measure and understand these processes at the regional level, and model their impacts, remote sensing is often necessary. However, processing massive volumes of remotely sensing...

  4. Feasibility, Process, and Outcomes of Cardiovascular Clinical Trial Data Sharing: A Reproduction Analysis of the SMART-AF Trial.

    Science.gov (United States)

    Gay, Hawkins C; Baldridge, Abigail S; Huffman, Mark D

    2017-12-01

    Data sharing is as an expanding initiative for enhancing trust in the clinical research enterprise. To evaluate the feasibility, process, and outcomes of a reproduction analysis of the THERMOCOOL SMARTTOUCH Catheter for the Treatment of Symptomatic Paroxysmal Atrial Fibrillation (SMART-AF) trial using shared clinical trial data. A reproduction analysis of the SMART-AF trial was performed using the data sets, data dictionary, case report file, and statistical analysis plan from the original trial accessed through the Yale Open Data Access Project using the SAS Clinical Trials Data Transparency platform. SMART-AF was a multicenter, single-arm trial evaluating the effectiveness and safety of an irrigated, contact force-sensing catheter for ablation of drug refractory, symptomatic paroxysmal atrial fibrillation in 172 participants recruited from 21 sites between June 2011 and December 2011. Analysis of the data was conducted between December 2016 and April 2017. Effectiveness outcomes included freedom from atrial arrhythmias after ablation and proportion of participants without any arrhythmia recurrence over the 12 months of follow-up after a 3-month blanking period. Safety outcomes included major adverse device- or procedure-related events. The SMART AF trial participants' mean age was 58.7 (10.8) years, and 72% were men. The time from initial proposal submission to final analysis was 11 months. Freedom from atrial arrhythmias at 12 months postprocedure was similar compared with the primary study report (74.0%; 95% CI, 66.0-82.0 vs 76.4%; 95% CI, 68.7-84.1). The reproduction analysis success rate was higher than the primary study report (65.8%; 95% CI 56.5-74.2 vs 75.6%; 95% CI, 67.2-82.5). Adverse events were minimal and similar between the 2 analyses, but contact force range or regression models could not be reproduced. The feasibility of a reproduction analysis of the SMART-AF trial was demonstrated through an academic data-sharing platform. Data sharing can be

  5. Profit Analysis Model of Smart Item Implementation in Integrated Supply Chain Process

    Science.gov (United States)

    Tritularsih, Yustina; Rinanto, Andhy; Prasetyo, Hoedi; Nur Rosyidi, Cucuk

    2018-03-01

    Nowadays all links of the entire supply chain need to integrate their different infrastructures and they have better control of them to drive better profits. This integration should offer the ability for companies in order to have an overall and transparent insight to its supply chain activities. An intelligent supply chain which is mainly supported by Smart Items technology can satisfy the need of those integration. By means of Smart Items, a company can benefit some advantages. Those are cost reduction and value creation. However, currently there is no comprehensive Smart Item infrastructure exists yet so it is difficult to calculate the true benefit information. This paper attempts to recommend a model for estimating the benefits of implementing Smart Items in a company which has an integrated supply chain process. The integrated supply chain means that three echelons (supplier, shipper and retailer) of supply chain are belonged to a company. The proposed model was used to determine the shrinkage value and RFID tag price which can give the maximum benefit of Smart Items implementation. A numerical example is also provided to give a better comprehension on model calculation.

  6. Integrated Sensing and Processing Digital Synapses

    National Research Council Canada - National Science Library

    Coifman, Ronald R; Rokhlin, Vladimir; Zucker, Steven; Coppi, Andreas; Geschwind, Frank

    2006-01-01

    Over the duration of phase I of the ISP (01-Aug-2002 to 31-Jul-2005), we built two digitally controlled sensing systems and assembled a tabletop environment for testing and demonstration of massive data acquisition and handling...

  7. Graphene papers: smart architecture and specific functionalization for biomimetics, electrocatalytic sensing and energy storage

    DEFF Research Database (Denmark)

    Zhang, Minwei; Hou, Chengyi; Halder, Arnab

    2017-01-01

    applications. Research advances in graphene based papers in the past few years have created a new category of composite materials. This review aims at offering an up-to-date comprehensive summary of graphene-supported papers, with the emphasis on smart assembly and purpose-driven specific functionalization......Paper is an attractively assembled form of materials and has accompanied our daily life almost everywhere. Two-dimensional layered materials, especially graphene, have unique intrinsic structures to be exploited for smart architecture of macroscopic papers that are offering many newly emerging...... block and to the current status of research studies on graphene papers. This is followed by addressing some crucial methods of how to prepare graphene papers. We then summarize multiple possibilities of functionalizing graphene papers, membranes or films. Finally, we evaluate some key applications...

  8. A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers

    Directory of Open Access Journals (Sweden)

    Ian David Lockhart Bogle

    2017-04-01

    Full Text Available The challenges posed by smart manufacturing for the process industries and for process systems engineering (PSE researchers are discussed in this article. Much progress has been made in achieving plant- and site-wide optimization, but benchmarking would give greater confidence. Technical challenges confronting process systems engineers in developing enabling tools and techniques are discussed regarding flexibility and uncertainty, responsiveness and agility, robustness and security, the prediction of mixture properties and function, and new modeling and mathematics paradigms. Exploiting intelligence from big data to drive agility will require tackling new challenges, such as how to ensure the consistency and confidentiality of data through long and complex supply chains. Modeling challenges also exist, and involve ensuring that all key aspects are properly modeled, particularly where health, safety, and environmental concerns require accurate predictions of small but critical amounts at specific locations. Environmental concerns will require us to keep a closer track on all molecular species so that they are optimally used to create sustainable solutions. Disruptive business models may result, particularly from new personalized products, but that is difficult to predict.

  9. DIGITALIZATION PROCESS IN UKRAINE AS A PREREQUISITE FOR THE SMART CITY CONCEPT DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Anna Pozdniakova

    2017-09-01

    Full Text Available The paper aims to review Smart city building process in Ukraine, its successful examples, and possible drawbacks on the way and based on this suggests the steps country should undertake for the future development of this concept. Taking into account that spreading of ICTs (digitalization plays an important role in laying the foundation for smart solutions’ development and usage, we have also provided an overview of this process in Ukraine and compared Ukraine’s positions on the global arena. To do this, we have used a number of international indexes (ICT Development Index, Networked Readiness Index, Global Innovation Index, E-Government Development Index, E-Participation Index to show an objective picture and to cover as many aspects as possible (ICT readiness, ICT usage, ICT skills, and other features build on top of these. Lack of the required infrastructure and equal proper access to ICTs within the country is one of the major issues Ukraine has to deal with right now. We have also compared current positions of Ukraine against the target values specified in the Strategy of Information Society Development of Ukraine-2020. The research is based on the method of theoretical, logical, and systematic analysis of the literature (articles, strategies and agendas, international indexes etc. along with the methods of comparative analysis that allow comparing smart solutions among the selected cities. We have composed a comparison table for successful smart solutions available currently in Ukraine for the selected cities (Kyiv, Lviv, Kharkiv, Ivano-Frankivsk, Vinnytsia, Dnipro within different areas. We have also conducted a SWOT-analysis to reveal strong and weak points for the further concept development, as well as the possible consequences and risks. The article suggests the steps for further successful development of smart city concept in Ukraine. These steps should encourage the dialogue on the topic within our country. We believe that

  10. Urban Automation Networks: Current and Emerging Solutions for Sensed Data Collection and Actuation in Smart Cities.

    Science.gov (United States)

    Gomez, Carles; Paradells, Josep

    2015-09-10

    Urban Automation Networks (UANs) are being deployed worldwide in order to enable Smart City applications. Given the crucial role of UANs, as well as their diversity, it is critically important to assess their properties and trade-offs. This article introduces the requirements and challenges for UANs, characterizes the main current and emerging UAN paradigms, provides guidelines for their design and/or choice, and comparatively examines their performance in terms of a variety of parameters including coverage, power consumption, latency, standardization status and economic cost.

  11. Urban Automation Networks: Current and Emerging Solutions for Sensed Data Collection and Actuation in Smart Cities

    Directory of Open Access Journals (Sweden)

    Carles Gomez

    2015-09-01

    Full Text Available Urban Automation Networks (UANs are being deployed worldwide in order to enable Smart City applications. Given the crucial role of UANs, as well as their diversity, it is critically important to assess their properties and trade-offs. This article introduces the requirements and challenges for UANs, characterizes the main current and emerging UAN paradigms, provides guidelines for their design and/or choice, and comparatively examines their performance in terms of a variety of parameters including coverage, power consumption, latency, standardization status and economic cost.

  12. Smart sensing to drive real-time loads scheduling algorithm in a domotic architecture

    Science.gov (United States)

    Santamaria, Amilcare Francesco; Raimondo, Pierfrancesco; De Rango, Floriano; Vaccaro, Andrea

    2014-05-01

    Nowadays the focus on power consumption represent a very important factor regarding the reduction of power consumption with correlated costs and the environmental sustainability problems. Automatic control load based on power consumption and use cycle represents the optimal solution to costs restraint. The purpose of these systems is to modulate the power request of electricity avoiding an unorganized work of the loads, using intelligent techniques to manage them based on real time scheduling algorithms. The goal is to coordinate a set of electrical loads to optimize energy costs and consumptions based on the stipulated contract terms. The proposed algorithm use two new main notions: priority driven loads and smart scheduling loads. The priority driven loads can be turned off (stand by) according to a priority policy established by the user if the consumption exceed a defined threshold, on the contrary smart scheduling loads are scheduled in a particular way to don't stop their Life Cycle (LC) safeguarding the devices functions or allowing the user to freely use the devices without the risk of exceeding the power threshold. The algorithm, using these two kind of notions and taking into account user requirements, manages loads activation and deactivation allowing the completion their operation cycle without exceeding the consumption threshold in an off-peak time range according to the electricity fare. This kind of logic is inspired by industrial lean manufacturing which focus is to minimize any kind of power waste optimizing the available resources.

  13. Assessment of a Smart Sensing Shoe for Gait Phase Detection in Level Walking

    Directory of Open Access Journals (Sweden)

    Nicola Carbonaro

    2016-11-01

    Full Text Available Gait analysis and more specifically ambulatory monitoring of temporal and spatial gait parameters may open relevant fields of applications in activity tracking, sports and also in the assessment and treatment of specific diseases. Wearable technology can boost this scenario by spreading the adoption of monitoring systems to a wide set of healthy users or patients. In this context, we assessed a recently developed commercial smart shoe—the FootMoov—for automatic gait phase detection in level walking. FootMoov has built-in force sensors and a triaxial accelerometer and is able to transmit the sensor data to the smartphone through a wireless connection. We developed a dedicated gait phase detection algorithm relying both on force and inertial information. We tested the smart shoe on ten healthy subjects in free level walking conditions and in a laboratory setting in comparison with an optical motion capture system. Results confirmed a reliable detection of the gait phases. The maximum error committed, on the order of 44.7 ms, is comparable with previous studies. Our results confirmed the possibility to exploit consumer wearable devices to extract relevant parameters to improve the subject health or to better manage his/her progressions.

  14. The Elderly's Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development.

    Science.gov (United States)

    Ni, Qin; García Hernando, Ana Belén; de la Cruz, Iván Pau

    2015-05-14

    Human activity detection within smart homes is one of the basis of unobtrusive wellness monitoring of a rapidly aging population in developed countries. Most works in this area use the concept of "activity" as the building block with which to construct applications such as healthcare monitoring or ambient assisted living. The process of identifying a specific activity encompasses the selection of the appropriate set of sensors, the correct preprocessing of their provided raw data and the learning/reasoning using this information. If the selection of the sensors and the data processing methods are wrongly performed, the whole activity detection process may fail, leading to the consequent failure of the whole application. Related to this, the main contributions of this review are the following: first, we propose a classification of the main activities considered in smart home scenarios which are targeted to older people's independent living, as well as their characterization and formalized context representation; second, we perform a classification of sensors and data processing methods that are suitable for the detection of the aforementioned activities. Our aim is to help researchers and developers in these lower-level technical aspects that are nevertheless fundamental for the success of the complete application.

  15. Integrated Gis-remote sensing processing applied to vegetation ...

    African Journals Online (AJOL)

    This study examines the special advantage offered by GIS-Remote Sensing processing to survey of vegetation, a renewable natural resource in Ibadan, South-Western, Nigeria with a view to eliciting support for sound environmental policy in the future. A remotely sensed digital image of SPOT by its linear enhancement on ...

  16. Remote sensing models and methods for image processing

    CERN Document Server

    Schowengerdt, Robert A

    1997-01-01

    This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms.Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, s

  17. Implementing polytope projects for smart systems

    CERN Document Server

    Iordache, Octavian

    2017-01-01

    This book presents a domain of extreme industrial and scientific interest: the study of smart systems and structures. It presents polytope projects as comprehensive physical and cognitive architectures that support the investigation, fabrication and implementation of smart systems and structures. These systems feature multifunctional components that can perform sensing, control, and actuation. In light of the fact that devices, tools, methodologies and organizations based on electronics and information technology for automation, specific to the third industrial revolution, are increasingly reaching their limits, it is essential that smart systems be implemented in industry. Polytope projects facilitate the utilization of smart systems and structures as key elements of the fourth industrial revolution. The book begins by presenting polytope projects as a reference architecture for cyber-physical systems and smart systems, before addressing industrial process synthesis in Chapter 2. Flow-sheet trees, cyclic sep...

  18. Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves

    Directory of Open Access Journals (Sweden)

    Joaquín García-Gómez

    2018-03-01

    Full Text Available Pipeline inspection is a topic of particular interest to the companies. Especially important is the defect sizing, which allows them to avoid subsequent costly repairs in their equipment. A solution for this issue is using ultrasonic waves sensed through Electro-Magnetic Acoustic Transducer (EMAT actuators. The main advantage of this technology is the absence of the need to have direct contact with the surface of the material under investigation, which must be a conductive one. Specifically interesting is the meander-line-coil based Lamb wave generation, since the directivity of the waves allows a study based in the circumferential wrap-around received signal. However, the variety of defect sizes changes the behavior of the signal when it passes through the pipeline. Because of that, it is necessary to apply advanced techniques based on Smart Sound Processing (SSP. These methods involve extracting useful information from the signals sensed with EMAT at different frequencies to obtain nonlinear estimations of the depth of the defect, and to select the features that better estimate the profile of the pipeline. The proposed technique has been tested using both simulated and real signals in steel pipelines, obtaining good results in terms of Root Mean Square Error (RMSE.

  19. Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves.

    Science.gov (United States)

    García-Gómez, Joaquín; Gil-Pita, Roberto; Rosa-Zurera, Manuel; Romero-Camacho, Antonio; Jiménez-Garrido, Jesús Antonio; García-Benavides, Víctor

    2018-03-07

    Pipeline inspection is a topic of particular interest to the companies. Especially important is the defect sizing, which allows them to avoid subsequent costly repairs in their equipment. A solution for this issue is using ultrasonic waves sensed through Electro-Magnetic Acoustic Transducer (EMAT) actuators. The main advantage of this technology is the absence of the need to have direct contact with the surface of the material under investigation, which must be a conductive one. Specifically interesting is the meander-line-coil based Lamb wave generation, since the directivity of the waves allows a study based in the circumferential wrap-around received signal. However, the variety of defect sizes changes the behavior of the signal when it passes through the pipeline. Because of that, it is necessary to apply advanced techniques based on Smart Sound Processing (SSP). These methods involve extracting useful information from the signals sensed with EMAT at different frequencies to obtain nonlinear estimations of the depth of the defect, and to select the features that better estimate the profile of the pipeline. The proposed technique has been tested using both simulated and real signals in steel pipelines, obtaining good results in terms of Root Mean Square Error (RMSE).

  20. Scalable and Environmentally Benign Process for Smart Textile Nanofinishing

    NARCIS (Netherlands)

    Feng, Jicheng; Hontañón, Esther; Blanes, Maria; Meyer, Jörg; Guo, Xiaoai; Santos, Laura; Paltrinieri, Laura; Ramlawi, Nabil; Smet, de Louis C.P.M.; Nirschl, Hermann; Kruis, Frank Einar; Schmidt-Ott, Andreas; Biskos, George

    2016-01-01

    A major challenge in nanotechnology is that of determining how to introduce green and sustainable principles when assembling individual nanoscale elements to create working devices. For instance, textile nanofinishing is restricted by the many constraints of traditional pad-dry-cure processes,

  1. Engineering Cooperative Smart Things based on Embodied Cognition

    OpenAIRE

    Nascimento, Nathalia Moraes do; de Lucena, Carlos Jose Pereira

    2018-01-01

    The goal of the Internet of Things (IoT) is to transform any thing around us, such as a trash can or a street light, into a smart thing. A smart thing has the ability of sensing, processing, communicating and/or actuating. In order to achieve the goal of a smart IoT application, such as minimizing waste transportation costs or reducing energy consumption, the smart things in the application scenario must cooperate with each other without a centralized control. Inspired by known approaches to ...

  2. Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor

    2012-11-15

    Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require continuous information monitoring and integration present novel opportunities and challenges for Semantic Web technologies. Semantic Web is promising to model diverse Smart Grid domain knowledge for enhanced situation awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic analysis of sensor measurements. In this paper, we combine semantic web and complex event processing for stream based semantic querying. We illustrate its adoption in the USC Campus Micro-Grid for detecting and enacting dynamic response strategies to peak power situations by diverse user roles. We also describe the semantic ontology and event query model that supports this. Further, we introduce and evaluate caching techniques to improve the response time for semantic event queries to meet our application needs and enable sustainable energy management.

  3. Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making

    Directory of Open Access Journals (Sweden)

    Bhagya Nathali Silva

    2017-01-01

    Full Text Available The concept of the smart city is widely favored, as it enhances the quality of life of urban citizens, involving multiple disciplines, that is, smart community, smart transportation, smart healthcare, smart parking, and many more. Continuous growth of the complex urban networks is significantly challenged by real-time data processing and intelligent decision-making capabilities. Therefore, in this paper, we propose a smart city framework based on Big Data analytics. The proposed framework operates on three levels: (1 data generation and acquisition level collecting heterogeneous data related to city operations, (2 data management and processing level filtering, analyzing, and storing data to make decisions and events autonomously, and (3 application level initiating execution of the events corresponding to the received decisions. In order to validate the proposed architecture, we analyze a few major types of dataset based on the proposed three-level architecture. Further, we tested authentic datasets on Hadoop ecosystem to determine the threshold and the analysis shows that the proposed architecture offers useful insights into the community development authorities to improve the existing smart city architecture.

  4. Nanoscale Electrochemical Sensing and Processing in Microreactors.

    Science.gov (United States)

    Odijk, Mathieu; van den Berg, Albert

    2018-03-08

    In this review, we summarize recent advances in nanoscale electrochemistry, including the use of nanoparticles, carbon nanomaterials, and nanowires. Exciting developments are reported for nanoscale redox cycling devices, which can chemically amplify signal readout. We also discuss promising high-frequency techniques such as nanocapacitive CMOS sensor arrays or heterodyning. In addition, we review electrochemical microreactors for use in (drug) synthesis, biocatalysis, water treatment, or to electrochemically degrade urea for use in a portable artificial kidney. Electrochemical microreactors are also used in combination with mass spectrometry, e.g., to study the mimicry of drug metabolism or to allow electrochemical protein digestion. The review concludes with an outlook on future perspectives in both nanoscale electrochemical sensing and electrochemical microreactors. For sensors, we see a future in wearables and the Internet of things. In microreactors, a future goal is to monitor the electrochemical conversions more precisely or ultimately in situ by combining other spectroscopic techniques. Expected final online publication date for the Annual Review of Analytical Chemistry Volume 11 is June 12, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

  5. WELCOME – innovative integrated care platform using wearable sensing and smart cloud computing for COPD patients with comorbidities.

    Science.gov (United States)

    Chouvarda, Ioanna; Philip, Nada Y; Natsiavas, Pantelis; Kilintzis, Vasilis; Sobnath, Drishty; Kayyali, Reem; Henriques, Jorge; Paiva, Rui Pedro; Raptopoulos, Andreas; Chételat, Olivier; Maglaveras, Nicos

    2014-01-01

    We propose WELCOME, an innovative integrated care platform using wearable sensors and smart cloud computing for Chronic Obstructive Pulmonary Disease (COPD) patients with co-morbidities. WELCOME aims to bring about a change in the reactive nature of the management of chronic diseases and its comorbidities, in particular through the development of a patient centred and proactive approach to COPD management. The aim of WELCOME is to support healthcare services to give early detection of complications (potentially reducing hospitalisations) and the prevention and mitigation of comorbidities (Heart Failure, Diabetes, Anxiety and Depression). The system incorporates patient hub, where it interacts with the patient via a light vest including a large number of non-invasive chest sensors for monitoring various relevant parameters. In addition, interactive applications to monitor and manage diabetes, anxiety and lifestyle issues will be provided to the patient. Informal carers will also be supported in dealing with their patients. On the other hand, welcome smart cloud platform is the heart of the proposed system where all the medical records and the monitoring data are managed and processed via the decision support system. Healthcare professionals will be able to securely access the WELCOME applications to monitor and manage the patient's conditions and respond to alerts on personalized level.

  6. SmartWeld/SmartProcess - intelligent model based system for the design and validation of welding processes

    Energy Technology Data Exchange (ETDEWEB)

    Mitchner, J.

    1996-04-01

    Diagrams are presented on an intelligent model based system for the design and validation of welding processes. Key capabilities identified include `right the first time` manufacturing, continuous improvement, and on-line quality assurance.

  7. A high performance, low power computational platform for complex sensing operations in smart cities

    Directory of Open Access Journals (Sweden)

    Jiming Jiang

    2017-04-01

    Full Text Available This paper presents a new wireless platform designed for an integrated traffic/flash flood monitoring system. The sensor platform is built around a 32-bit ARM Cortex M4 microcontroller and a 2.4 GHz 802.15.4 ISM compliant radio module. It can be interfaced with fixed traffic sensors, or receive data from vehicle transponders. This platform is specifically designed for solar-powered, low bandwidth, high computational performance wireless sensor network applications. A self-recovering unit is designed to increase reliability and allow periodic hard resets, an essential requirement for sensor networks. A radio monitoring circuitry is proposed to monitor incoming and outgoing transmissions, simplifying software debugging. We illustrate the performance of this wireless sensor platform on complex problems arising in smart cities, such as traffic flow monitoring, machine-learning-based flash flood monitoring or Kalman-filter based vehicle trajectory estimation. All design files have been uploaded and shared in an open science framework, and can be accessed from https://osf.io/fuyqd/. The hardware design is under CERN Open Hardware License v1.2.

  8. A high performance, low power computational platform for complex sensing operations in smart cities

    KAUST Repository

    Jiang, Jiming

    2017-02-02

    This paper presents a new wireless platform designed for an integrated traffic/flash flood monitoring system. The sensor platform is built around a 32-bit ARM Cortex M4 microcontroller and a 2.4GHz 802.15.4802.15.4 ISM compliant radio module. It can be interfaced with fixed traffic sensors, or receive data from vehicle transponders. This platform is specifically designed for solar-powered, low bandwidth, high computational performance wireless sensor network applications. A self-recovering unit is designed to increase reliability and allow periodic hard resets, an essential requirement for sensor networks. A radio monitoring circuitry is proposed to monitor incoming and outgoing transmissions, simplifying software debugging. We illustrate the performance of this wireless sensor platform on complex problems arising in smart cities, such as traffic flow monitoring, machine-learning-based flash flood monitoring or Kalman-filter based vehicle trajectory estimation. All design files have been uploaded and shared in an open science framework, and can be accessed from [1]. The hardware design is under CERN Open Hardware License v1.2.

  9. Westinghouse integrated cementation facility. Smart process automation minimizing secondary waste

    International Nuclear Information System (INIS)

    Fehrmann, H.; Jacobs, T.; Aign, J.

    2015-01-01

    The Westinghouse Cementation Facility described in this paper is an example for a typical standardized turnkey project in the area of waste management. The facility is able to handle NPP waste such as evaporator concentrates, spent resins and filter cartridges. The facility scope covers all equipment required for a fully integrated system including all required auxiliary equipment for hydraulic, pneumatic and electric control system. The control system is based on actual PLC technology and the process is highly automated. The equipment is designed to be remotely operated, under radiation exposure conditions. 4 cementation facilities have been built for new CPR-1000 nuclear power stations in China

  10. Sparsity-Cognizant Algorithms with Applications to Communications, Signal Processing, and the Smart Grid

    Science.gov (United States)

    Zhu, Hao

    Sparsity plays an instrumental role in a plethora of scientific fields, including statistical inference for variable selection, parsimonious signal representations, and solving under-determined systems of linear equations - what has led to the ground-breaking result of compressive sampling (CS). This Thesis leverages exciting ideas of sparse signal reconstruction to develop sparsity-cognizant algorithms, and analyze their performance. The vision is to devise tools exploiting the 'right' form of sparsity for the 'right' application domain of multiuser communication systems, array signal processing systems, and the emerging challenges in the smart power grid. Two important power system monitoring tasks are addressed first by capitalizing on the hidden sparsity. To robustify power system state estimation, a sparse outlier model is leveraged to capture the possible corruption in every datum, while the problem nonconvexity due to nonlinear measurements is handled using the semidefinite relaxation technique. Different from existing iterative methods, the proposed algorithm approximates well the global optimum regardless of the initialization. In addition, for enhanced situational awareness, a novel sparse overcomplete representation is introduced to capture (possibly multiple) line outages, and develop real-time algorithms for solving the combinatorially complex identification problem. The proposed algorithms exhibit near-optimal performance while incurring only linear complexity in the number of lines, which makes it possible to quickly bring contingencies to attention. This Thesis also accounts for two basic issues in CS, namely fully-perturbed models and the finite alphabet property. The sparse total least-squares (S-TLS) approach is proposed to furnish CS algorithms for fully-perturbed linear models, leading to statistically optimal and computationally efficient solvers. The S-TLS framework is well motivated for grid-based sensing applications and exhibits higher

  11. Unknown Word Processing Method for the Common Sense Judgement System

    Science.gov (United States)

    Tsuchiya, Seiji; Kojima, Kazuhide; Watabe, Hirokazu; Kawaoka, Tsukasa

    When we humans receive uncertain information, we interpret it properly, so we can expand the conversation, and take the proper actions. This is possible because we have “common sense” concerning the basic word concept, which is built up from long time experience storing knowledge of our language. Of the common sense we use in our every day lives we think that there are; common sense concerning quantity such as size, weight, speed, time, or place; common sense concerning sense or feeling such as hot, beautiful, or loud; and moreover common sense concerning emotion such as happy or sad. In order to make computers closer to human beings, we think that the construction of a “Common Sense Judgment System” which deals with these kinds of common sense is necessary. When aiming to realize this “Common Sense Judgment System” and trying to make a computer have the same common sense knowledge and judgment ability as human beings, a very important factor is the handling of unknown words. Judgment concerning words which were given to the computer as knowledge before hand, it can refer to that knowledge, and the process will have no problem at all. But when an unknown word, which is not registered as knowledge, is inputted, how to process that word is a very difficult problem. In this paper, by using a concept base, which is made from several electric dictionaries; the degree of association, which is done based on the concept base; neural network, putting the closeness of meaning in consideration, we propose a method of unknown word processing, which connects an inputted unknown word to a representing word that is registered in the judgment knowledge base, and we will verify its effectiveness by experiment applied to the emotional judgment subsystem.

  12. [INVITED] Computational intelligence for smart laser materials processing

    Science.gov (United States)

    Casalino, Giuseppe

    2018-03-01

    Computational intelligence (CI) involves using a computer algorithm to capture hidden knowledge from data and to use them for training ;intelligent machine; to make complex decisions without human intervention. As simulation is becoming more prevalent from design and planning to manufacturing and operations, laser material processing can also benefit from computer generating knowledge through soft computing. This work is a review of the state-of-the-art on the methodology and applications of CI in laser materials processing (LMP), which is nowadays receiving increasing interest from world class manufacturers and 4.0 industry. The focus is on the methods that have been proven effective and robust in solving several problems in welding, cutting, drilling, surface treating and additive manufacturing using the laser beam. After a basic description of the most common computational intelligences employed in manufacturing, four sections, namely, laser joining, machining, surface, and additive covered the most recent applications in the already extensive literature regarding the CI in LMP. Eventually, emerging trends and future challenges were identified and discussed.

  13. Smart Sensing and Dynamic Fitting for Enhanced Comfort and Performance of Prosthetics

    Science.gov (United States)

    2017-10-01

    operation of using antenna sensor for shear and pressure sensing; 2) publish the research results as peer -reviewed journal paper  Major activities: 1...walking; 3) establishing a procedure to design and calibrate the antenna shear and pressure sensor; 4) explore textile materials to produce robust...hardware/software and tested the data acquisition system to improve the precision of the recorded and displayed pressure value within each gait cycle; 2

  14. Image processing techniques for remote sensing data

    Digital Repository Service at National Institute of Oceanography (India)

    RameshKumar, M.R.

    interpretation and for processing of scene data for autonomous machine perception. The technique of digital image processing are used for' automatic character/pattern recognition, industrial robots for product assembly and inspection, military recognizance...-Type text/plain; charset=UTF-8 4. IMAGE PROCE:>SINGTOO~IQUE3FOR RmOTE SmSING DATA M. R. RAIirnH KUMAR National Institute of Oceanography, Dona PaUla, Goa-403004. Digital image processing is used for improvement of pictorial information for human...

  15. Poisson point processes imaging, tracking, and sensing

    CERN Document Server

    Streit, Roy L

    2010-01-01

    This overview of non-homogeneous and multidimensional Poisson point processes and their applications features mathematical tools and applications from emission- and transmission-computed tomography to multiple target tracking and distributed sensor detection.

  16. Wireless Sensor Networks Data Processing Summary Based on Compressive Sensing

    Directory of Open Access Journals (Sweden)

    Caiyun Huang

    2014-07-01

    Full Text Available As a newly proposed theory, compressive sensing (CS is commonly used in signal processing area. This paper investigates the applications of compressed sensing (CS in wireless sensor networks (WSNs. First, the development and research status of compressed sensing technology and wireless sensor networks are described, then a detailed investigation of WSNs research based on CS are conducted from aspects of data fusion, signal acquisition, signal routing transmission, and signal reconstruction. At the end of the paper, we conclude our survey and point out the possible future research directions.

  17. Decreasing Data Analytics Time: Hybrid Architecture MapReduce-Massive Parallel Processing for a Smart Grid

    Directory of Open Access Journals (Sweden)

    Abdeslam Mehenni

    2017-03-01

    Full Text Available As our populations grow in a world of limited resources enterprise seek ways to lighten our load on the planet. The idea of modifying consumer behavior appears as a foundation for smart grids. Enterprise demonstrates the value available from deep analysis of electricity consummation histories, consumers’ messages, and outage alerts, etc. Enterprise mines massive structured and unstructured data. In a nutshell, smart grids result in a flood of data that needs to be analyzed, for better adjust to demand and give customers more ability to delve into their power consumption. Simply put, smart grids will increasingly have a flexible data warehouse attached to them. The key driver for the adoption of data management strategies is clearly the need to handle and analyze the large amounts of information utilities are now faced with. New approaches to data integration are nauseating moment; Hadoop is in fact now being used by the utility to help manage the huge growth in data whilst maintaining coherence of the Data Warehouse. In this paper we define a new Meter Data Management System Architecture repository that differ with three leaders MDMS, where we use MapReduce programming model for ETL and Parallel DBMS in Query statements(Massive Parallel Processing MPP.

  18. Researching on the process of remote sensing video imagery

    Science.gov (United States)

    Wang, He-rao; Zheng, Xin-qi; Sun, Yi-bo; Jia, Zong-ren; Wang, He-zhan

    Unmanned air vehicle remotely-sensed imagery on the low-altitude has the advantages of higher revolution, easy-shooting, real-time accessing, etc. It's been widely used in mapping , target identification, and other fields in recent years. However, because of conditional limitation, the video images are unstable, the targets move fast, and the shooting background is complex, etc., thus it is difficult to process the video images in this situation. In other fields, especially in the field of computer vision, the researches on video images are more extensive., which is very helpful for processing the remotely-sensed imagery on the low-altitude. Based on this, this paper analyzes and summarizes amounts of video image processing achievement in different fields, including research purposes, data sources, and the pros and cons of technology. Meantime, this paper explores the technology methods more suitable for low-altitude video image processing of remote sensing.

  19. Co-designing smart tourism

    DEFF Research Database (Denmark)

    Liburd, Janne J.; Nielsen, Tanja K.; Heape, Chris

    2017-01-01

    things and operations are actually achieved. This paper challenges the notions of smart and value co-creation by introducing tourism co-design as a learning and experiment driven development process. Tourism co-design leverages the communicative interaction between people and enables tourism operators......Emerging theories of smart tourism are chiefly concerned with how Internet Communication Technology and Big Data can influence marketing, product and destination development. The risk being that an overt focus on formal outcomes, namely technology, products and services, diverts attention from how...... to change their practices. Based on fieldwork in the northern part of Denmark we explore how smart tourism can become smarter through tourism co-design processes. We argue that a shift is needed from: How can we efficiently achieve a more or less known goal? To: How can we effectively explore and give sense...

  20. Sensing flame structure by process tomography.

    Science.gov (United States)

    Liu, Jing; Liu, Shi; Zhou, Wanting; Qi, Xin; Lei, Jing; Mu, Huaiping

    2016-06-28

    Non-intrusive visualization of the structure of flames can offer us many advantages in studying the reaction mechanisms of combustion and observing special distributions of the parameters required for the development of equipment such as jet engines and gas turbines. Process tomography is a relatively new technique for such a task, but is useful owing to its fast speed and capability of detecting signals related to ionizations caused by chemical reactions and thermal effects. Electric capacitance tomography (ECT) is one of the process tomographic techniques. ECT usually comprises a sensor array of electrodes that detect permittivity variations in the measuring zone, a data-logging device and a computer that controls data acquisition and carries out image reconstruction. There have been studies on ECT imaging of flames; however, ECT has not been exploited sufficiently to reveal the inner structure of the flames. In this study, a sensor with planar electrodes is created, and the associated three-dimensional sensitivity map is generated by the finite-element method to detect flame structure. A series of experiments are carried out covering a range of feed rates of fuel and air. Data are collected by the ECT sensor and hardware. The results of the ECT reconstruction show good agreement with actual features, and the structure of the flame is found. This opens up a new route for the study of flames. This article is part of the themed issue 'Supersensing through industrial process tomography'. © 2016 The Author(s).

  1. Multidimensional Signal Processing for Sensing & Communications

    Science.gov (United States)

    2015-07-29

    compression signals,” IEEE Trans. Information Theory , vol. 10, no. 1, pp. 61-67, Jan. 1964. [10] C.E. Cook, “A class of nonlinear FM pulse compression...Trans. Information Theory , vol. 12, no. 3, pp. 305-311, July 1966. [12] J.A. Johnston and A.C. Fairhead, “Waveform design and Doppler sensitivity...diversity in echolocating mammals,” IEEE Signal Processing Magazine, vol. 26, no. 1, pp. 65- 75, Jan. 2009. DISTRIBUTION A: Distribution approved for

  2. The Signal Validation method of Digital Process Instrumentation System on signal conditioner for SMART

    International Nuclear Information System (INIS)

    Moon, Hee Gun; Park, Sang Min; Kim, Jung Seon; Shon, Chang Ho; Park, Heui Youn; Koo, In Soo

    2005-01-01

    The function of PIS(Process Instrumentation System) for SMART is to acquire the process data from sensor or transmitter. The PIS consists of signal conditioner, A/D converter, DSP(Digital Signal Process) and NIC(Network Interface Card). So, It is fully digital system after A/D converter. The PI cabinet and PDAS(Plant Data Acquisition System) in commercial plant is responsible for data acquisition of the sensor or transmitter include RTD, TC, level, flow, pressure and so on. The PDAS has the software that processes each sensor data and PI cabinet has the signal conditioner, which is need for maintenance and test. The signal conditioner has the potentiometer to adjust the span and zero for test and maintenance. The PIS of SMART also has the signal conditioner which has the span and zero adjust same as the commercial plant because the signal conditioner perform the signal condition for AD converter such as 0∼10Vdc. But, To adjust span and zero is manual test and calibration. So, This paper presents the method of signal validation and calibration, which is used by digital feature in SMART. There are I/E(current to voltage), R/E(resistor to voltage), F/E(frequency to voltage), V/V(voltage to voltage). Etc. In this paper show only the signal validation and calibration about I/E converter that convert level, pressure, flow such as 4∼20mA into signal for AD conversion such as 0∼10Vdc

  3. The research and implementation of nuclear science and technology literature processing system based on smart client technology

    International Nuclear Information System (INIS)

    Zhang Shufeng

    2010-01-01

    Nuclear literature processing, namely cataloging, subject indexing and abstracting, is one of the highly specialized work, the quality and speed of literature processing have an important impact on the building of information resources in nuclear field. Firstly, the system's overall functionality was determined through the analysis of system requirements and the difficulties we meet with were pointed out. Secondly, the function of collaborative collecting and processing of nuclear literature is realized using smart client technology, achieve the purpose of providing a network platform to the literature processing specialists located in different places, therefore the out source of nuclear literature collecting and processing can be done. The article comprises three aspects: needs analysis and overall functional design, smart client technical presentations, Net platform based on smart client technology, nuclear literature processing system implementation. (author)

  4. Fuel consumption optimization for smart hybrid electric vehicle during a car-following process

    Science.gov (United States)

    Li, Liang; Wang, Xiangyu; Song, Jian

    2017-03-01

    Hybrid electric vehicles (HEVs) provide large potential to save energy and reduce emission, and smart vehicles bring out great convenience and safety for drivers. By combining these two technologies, vehicles may achieve excellent performances in terms of dynamic, economy, environmental friendliness, safety, and comfort. Hence, a smart hybrid electric vehicle (s-HEV) is selected as a platform in this paper to study a car-following process with optimizing the fuel consumption. The whole process is a multi-objective optimal problem, whose optimal solution is not just adding an energy management strategy (EMS) to an adaptive cruise control (ACC), but a deep fusion of these two methods. The problem has more restricted conditions, optimal objectives, and system states, which may result in larger computing burden. Therefore, a novel fuel consumption optimization algorithm based on model predictive control (MPC) is proposed and some search skills are adopted in receding horizon optimization to reduce computing burden. Simulations are carried out and the results indicate that the fuel consumption of proposed method is lower than that of the ACC+EMS method on the condition of ensuring car-following performances.

  5. Remote sensing models and methods for image processing

    CERN Document Server

    Schowengerdt, Robert A

    2007-01-01

    Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. This book, in its 3rd edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standa

  6. Portable remote sensing image processing system; Kahangata remote sensing gazo shori system

    Energy Technology Data Exchange (ETDEWEB)

    Fujikawa, S.; Uchida, K.; Tanaka, S.; Jingo, H. [Dowa Engineering Co. Ltd., Tokyo (Japan); Hato, M. [Earth Remote Sensing Data Analysis Center, Tokyo (Japan)

    1997-10-22

    Recently, geological analysis using remote sensing data has been put into practice due to data with high spectral resolution and high spatial resolution. There has been a remarkable increase in both software and hardware of personal computer. Software is independent of hardware due to Windows. It has become easy to develop softwares. Under such situation, a portable remote sensing image processing system coping with Window 95 has been developed. Using this system, basic image processing can be conducted, and present location can be displayed on the image in real time by linking with GPS. Accordingly, it is not required to bring printed images for the field works of image processing. This system can be used instead of topographic maps for overseas surveys. Microsoft Visual C++ ver. 2.0 is used for the software. 1 fig.

  7. Ergonomic audit of a specially engineered sonic powered toothbrush with unique sensing and control technologies, the Sonicare Flexcare, and the Oral-B Smart Series 5000.

    Science.gov (United States)

    Hunter, Gail; Burns, Laurie; Bone, Brian; Mintel, Thomas; Jimenez, Eduardo

    2012-01-01

    The presence of ergonomic features can impact the marketplace success of a new product. Metaphase Design Group, Inc., in partnership with the Colgate-Palmolive Company, conducted an ergonomic audit on three electric toothbrushes: a specially engineered sonic powered toothbrush with unique sensing and control technologies, the Sonicare FlexCare, and the Oral-B Smart Series 5000. The ergonomic audit was conducted by Metaphase Design Groups's ergonomic and usability experts. Two experts used the toothbrushes over a one-week period and assessed the performance of each brush against a set of ergonomic principles. The three toothbrushes have some solid ergonomic features. They each have adequate grip zones, provide grip security with elastomeric materials, and provide easy access to the on/off button. The most distinctive feature is the longitudinal shape of the handle of the specially engineered sonic powered toothbrush with unique sensing and control technologies. This handle angles downward at the top end and provides additional advantages through improved grip security and visibility. Yet all three toothbrushes have different opportunities for improvement. The Sonicare Flex Care toothbrush has a cluttered and complicated user interface that is difficult to read. The disadvantages of the Oral-B Smart Series 5000 toothbrush are related to its physical dimensions and audible feedback. The specially engineered sonic powered toothbrush with unique sensing afid control technologies is surprising to use with its changes in speeds, brush movements, and resulting changes in audible feedback.

  8. Urbanization processes and practices of smart city as factors influencing youth’s social values

    Directory of Open Access Journals (Sweden)

    Vlasenko Larisa

    2017-01-01

    Full Text Available In the article, the co-authors analyze the formation of social values in young people in major cities, because their environments produce a direct impact on the choice of moral benchmarks and behavioral models. Personalities develop in the context of communication contacts, and the latter have specific features in megalopolises. The co-authors provide the findings of the phased opinion poll, conducted in 2011 – 2016, among the students of several Moscow universities. The mission of the poll was to identify the extent of the young people’s satisfaction with the urbanization processes and the outspread of Smart City practices. The analysis has proven that the system of values, maintained by young people, is heavily influenced by the urban environment and the processes underway in it.

  9. Smart city solutions in regard to urbanization processes – Polish cases

    Directory of Open Access Journals (Sweden)

    Brdulak Halina

    2015-11-01

    Full Text Available The aim of this paper is to show the spectrum of problems associated with the growing importance of cities in the context of rapidly occurring processes of urbanization. Therefore the following issues are included: the concept of smart cities, which are a combination of the intelligent use of information systems allowing for active management of the various areas of urban activity with the potential of institutions, companies and the active involvement and creative people; transport problems and the use of new technologies. Particular attention will be given to both, the issue of transport congestion as the strongest factor affecting the quality of life of residents and to the role of social capital in the creation of sustainable development. To exemplify the result of the cooperation between southern Polish communities there will be presented a case of the introducing process of the Silesian Card of Public Services with a wide range of its functionality.

  10. Combining high resolution water use data from smart meters with remote sensing and geospatial datasets to investigate outdoor water demand and greenness changes during drought

    Science.gov (United States)

    Quesnel, K.; Ajami, N.; Urata, J.; Marx, A.

    2017-12-01

    Infrastructure modernization, information technology, and the internet of things are impacting urban water use. Advanced metering infrastructure (AMI), also known as smart meters, is one forthcoming technology that holds the potential to fundamentally shift the way customers use water and utilities manage their water resources. Broadly defined, AMI is a system and process used to measure, communicate, and analyze water use data at high resolution intervals at the customer or sub-customer level. There are many promising benefits of AMI systems, but there are also many challenges; consequently, AMI in the water sector is still in its infancy. In this study we provide insights into this emerging technology by taking advantage of the higher temporal and spatial resolution of water use data provided by these systems. We couple daily water use observations from AMI with monthly and bimonthly billing records to investigate water use trends, patterns, and drivers using a case study of the City of Redwood City, CA from 2007 through 2016. We look across sectors, with a particular focus on water use for urban irrigation. Almost half of Redwood City's irrigation accounts use recycled water, and we take this unique opportunity to investigate if the behavioral response for recycled water follows the water and energy efficiency paradox in which customers who have upgraded to more efficient devices end up using more of the commodity. We model potable and recycled water demand using geospatially explicit climate, demographic, and economic factors to gain insight into various water use drivers. Additionally, we use high resolution remote sensing data from the National Agricultural Imaging Program (NAIP) to observe how changes in greenness and impervious surface are related to water use. Using a series of statistical and unsupervised machine learning techniques, we find that water use has changed dramatically over the past decade corresponding to varying climatic regimes and drought

  11. Smart Cities and Charming Villages: New Heritage Processes in the Twenty-first Century

    Directory of Open Access Journals (Sweden)

    Beatriz Santamarina Campos

    2017-12-01

    Full Text Available The heritage phenomenon has undergone spectacular growth in recent decades in a boom that can be interpreted as an aspect of the third spirit of capitalism. The arrival of the economy of intangibles with its emphasis on this new production of value has changed the rules of the game for the global economy. In this article, we argue that a crucial transformation has taken place within the activation of heritage assets: we have moved from the political nationalism which triggered collective heritage in the nineteenth century, to a nationalism of consumption during the twentyfirst century. In this context, we focus on the different impact of heritage processes depending on where a location is positioned within global markets. This position will then condition the bid to become a smart city or charming village. We contend that both are two sides of the same coin.

  12. A process chain for integrating piezoelectric transducers into aluminum die castings to generate smart lightweight structures

    Directory of Open Access Journals (Sweden)

    Stefan Stein

    Full Text Available The application of piezoelectric transducers to structural body parts of machines or vehicles enables the combination of passive mechanical components with sensor and actuator functions in one single structure. According to Herold et al. [1] and Staeves [2] this approach indicates significant potential regarding smart lightweight construction. To obtain the highest yield, the piezoelectric transducers need to be integrated into the flux of forces (load path of load bearing structures. Application in a downstream process reduces yield and process efficiency during manufacturing and operation, due to the necessity of a subsequent process step of sensor/actuator application. The die casting process offers the possibility for integration of piezoelectric transducers into metal structures. Aluminum castings are particularly favorable due to their high quality and feasibility for high unit production at low cost (Brunhuber [3], Nogowizin [4]. Such molded aluminum parts with integrated piezoelectric transducers enable functions like active vibration damping, structural health monitoring or energy harvesting resulting in significant possibilities of weight reduction, which is an increasingly important driving force of automotive and aerospace industry (Klein [5], Siebenpfeiffer [6] due to increasingly stringent environmental protection laws. In the scope of those developments, this paper focuses on the entire process chain enabling the generation of lightweight metal structures with sensor and actuator function, starting from the manufacturing of piezoelectric modules over electrical and mechanical bonding to the integration of such modules into aluminum (Al matrices by die casting. To achieve this challenging goal, piezoceramic sensors/actuator modules, so-called LTCC/PZT modules (LPM were developed, since ceramic based piezoelectric modules are more likely to withstand the thermal stress of about 700 °C introduced by the casting process (Flössel et

  13. A Brillouin smart FRP material and a strain data post processing software for structural health monitoring through laboratory testing and field application on a highway bridge

    Science.gov (United States)

    Bastianini, Filippo; Matta, Fabio; Galati, Nestore; Nanni, Antonio

    2005-05-01

    Strain and temperature sensing obtained through frequency shift evaluation of Brillouin scattered light is a technology that seems extremely promising for Structural Health Monitoring (SHM). Due to the intrinsic distributed sensing capability, Brillouin can measure the deformation of any individual segment of huge lengths of inexpensive single-mode fiber. In addition, Brillouin retains other typical advantages of Fiber Optic Sensors (FOS), such as harsh environment durability and interference rejection. Despite these advantages, the diffusion of Brillouin for SHM is constrained by different factors, such as the high equipment cost, the commercial unavailability of specific SHM oriented fiber products and even some prejudices on the required sensitivity performances. In the present work, a complete SHM pilot application was developed, installed and successfully operated during a diagnostic load test on the High Performance Steel (HPS) bridge A6358 located at the Lake of the Ozarks (Miller County, MO, USA). Four out of five girders were extensively instrumented with a "smart" Glass Fiber Reinforced Polymer (GFRP) tape having embedded fibers for strain sensing and thermal compensation. Data collected during a diagnostic load test were elaborated through a specific post-processing software, and the strain profiles retrieved were compared to traditional strain gauges and theoretical results based on the AASHTO LRFD Bridge Design Specifications for structural assessment purposes. The excellent results obtained confirm the effectiveness of Brillouin SHM systems for the monitoring of real applications.

  14. Smart grid

    International Nuclear Information System (INIS)

    Choi, Dong Bae

    2001-11-01

    This book describes press smart grid from basics to recent trend. It is divided into ten chapters, which deals with smart grid as green revolution in energy with introduction, history, the fields, application and needed technique for smart grid, Trend of smart grid in foreign such as a model business of smart grid in foreign, policy for smart grid in U.S.A, Trend of smart grid in domestic with international standard of smart grid and strategy and rood map, smart power grid as infrastructure of smart business with EMS development, SAS, SCADA, DAS and PQMS, smart grid for smart consumer, smart renewable like Desertec project, convergence IT with network and PLC, application of an electric car, smart electro service for realtime of electrical pricing system, arrangement of smart grid.

  15. Investigation on Smart Parts with Embedded Piezoelectric Sensors via Additive Manufacturing

    Energy Technology Data Exchange (ETDEWEB)

    Lin, Yirong [Univ. of Texas, El Paso, TX (United States)

    2017-12-10

    The goal of this proposed research is to design, fabricate, and evaluate “smart parts” with embedded sensors for energy systems. The “smart parts” will be fabricated using Electron Beam Melting (EBM) 3D printing technique with built-in piezoceramic sensors. The objectives of the proposed project are: 1) Fabricate energy system related components with embedded sensors, 2) Evaluate the mechanical properties and sensing functionalities of the “smart parts” with embedded piezoceramic sensors, and 3) Assess in-situ sensing capability of energy system parts. The second year’s research of the research is centered on fabrication of the “smart parts” with considerations of overall material property as well as demonstration of sensing functionalities. The results for the final report are presented here, including all research accomplishment, project management. Details are included such as: how the design and fabrication of sensor packaging could improve the sensor performance, demonstration of “smart parts” sensing capabilities, analysis on the elements that constitute the “smart sensors”, advanced “stop and go” fabrication process, smart injector fabrication using SLM technology, smart injector testing in combustion environments etc. Research results to date have generated several posters and papers.

  16. Double-Twisted Conductive Smart Threads Comprising a Homogeneously and a Gradient-Coated Thread for Multidimensional Flexible Pressure-Sensing Devices

    KAUST Repository

    Tai, Yanlong

    2016-03-17

    Fiber-based, flexible pressure-sensing systems have attracted attention recently due to their promising application as electronic skins. Here, a new kind of flexible pressure-sensing device based on a polydimethylsiloxane membrane instrumented with double-twisted smart threads (DTSTs) is reported. DTSTs are made of two conductive threads obtained by coating cotton threads with carbon nanotubes. One thread is coated with a homogeneous thickness of single-walled carbon nanotubes (SWCNTs) to detect the intensity of an applied load and the other is coated with a graded thickness of SWCNTs to identify the position of the load along the thread. The mechanism and capacity of DTSTs to accurately sense an applied load are systematically analyzed. Results demonstrate that the fabricated 1D, 2D, and 3D sensing devices can be used to predict both the intensity and the position of an applied load. The sensors feature high sensitivity (between ≈0.1% and 1.56% kPa) and tunable resolution, good cycling resilience (>104 cycles), and a short response time (minimum 2.5 Hz). The presented strategy is a viable alternative for the design of simple, low-cost pressure sensors.

  17. Microwave Remote Sensing and the Cold Land Processes Field Experiment

    Science.gov (United States)

    Kim, Edward J.; Cline, Don; Davis, Bert; Hildebrand, Peter H. (Technical Monitor)

    2001-01-01

    The Cold Land Processes Field Experiment (CLPX) has been designed to advance our understanding of the terrestrial cryosphere. Developing a more complete understanding of fluxes, storage, and transformations of water and energy in cold land areas is a critical focus of the NASA Earth Science Enterprise Research Strategy, the NASA Global Water and Energy Cycle (GWEC) Initiative, the Global Energy and Water Cycle Experiment (GEWEX), and the GEWEX Americas Prediction Project (GAPP). The movement of water and energy through cold regions in turn plays a large role in ecological activity and biogeochemical cycles. Quantitative understanding of cold land processes over large areas will require synergistic advancements in 1) understanding how cold land processes, most comprehensively understood at local or hillslope scales, extend to larger scales, 2) improved representation of cold land processes in coupled and uncoupled land-surface models, and 3) a breakthrough in large-scale observation of hydrologic properties, including snow characteristics, soil moisture, the extent of frozen soils, and the transition between frozen and thawed soil conditions. The CLPX Plan has been developed through the efforts of over 60 interested scientists that have participated in the NASA Cold Land Processes Working Group (CLPWG). This group is charged with the task of assessing, planning and implementing the required background science, technology, and application infrastructure to support successful land surface hydrology remote sensing space missions. A major product of the experiment will be a comprehensive, legacy data set that will energize many aspects of cold land processes research. The CLPX will focus on developing the quantitative understanding, models, and measurements necessary to extend our local-scale understanding of water fluxes, storage, and transformations to regional and global scales. The experiment will particularly emphasize developing a strong synergism between process

  18. Development of Open source-based automatic shooting and processing UAV imagery for Orthoimage Using Smart Camera UAV

    Science.gov (United States)

    Park, J. W.; Jeong, H. H.; Kim, J. S.; Choi, C. U.

    2016-06-01

    Recently, aerial photography with unmanned aerial vehicle (UAV) system uses UAV and remote controls through connections of ground control system using bandwidth of about 430 MHz radio Frequency (RF) modem. However, as mentioned earlier, existing method of using RF modem has limitations in long distance communication. The Smart Camera equipments's LTE (long-term evolution), Bluetooth, and Wi-Fi to implement UAV that uses developed UAV communication module system carried out the close aerial photogrammetry with the automatic shooting. Automatic shooting system is an image capturing device for the drones in the area's that needs image capturing and software for loading a smart camera and managing it. This system is composed of automatic shooting using the sensor of smart camera and shooting catalog management which manages filmed images and information. Processing UAV imagery module used Open Drone Map. This study examined the feasibility of using the Smart Camera as the payload for a photogrammetric UAV system. The open soure tools used for generating Android, OpenCV (Open Computer Vision), RTKLIB, Open Drone Map.

  19. Development of Open source-based automatic shooting and processing UAV imagery for Orthoimage Using Smart Camera UAV

    Directory of Open Access Journals (Sweden)

    J. W. Park

    2016-06-01

    Full Text Available Recently, aerial photography with unmanned aerial vehicle (UAV system uses UAV and remote controls through connections of ground control system using bandwidth of about 430 MHz radio Frequency (RF modem. However, as mentioned earlier, existing method of using RF modem has limitations in long distance communication. The Smart Camera equipments’s LTE (long-term evolution, Bluetooth, and Wi-Fi to implement UAV that uses developed UAV communication module system carried out the close aerial photogrammetry with the automatic shooting. Automatic shooting system is an image capturing device for the drones in the area’s that needs image capturing and software for loading a smart camera and managing it. This system is composed of automatic shooting using the sensor of smart camera and shooting catalog management which manages filmed images and information. Processing UAV imagery module used Open Drone Map. This study examined the feasibility of using the Smart Camera as the payload for a photogrammetric UAV system. The open soure tools used for generating Android, OpenCV (Open Computer Vision, RTKLIB, Open Drone Map.

  20. Digital Learning As Enhanced Learning Processing? Cognitive Evidence for New insight of Smart Learning

    Science.gov (United States)

    Di Giacomo, Dina; Ranieri, Jessica; Lacasa, Pilar

    2017-01-01

    Large use of technology improved quality of life across aging and favoring the development of digital skills. Digital skills can be considered an enhancing to human cognitive activities. New research trend is about the impact of the technology in the elaboration information processing of the children. We wanted to analyze the influence of technology in early age evaluating the impact on cognition. We investigated the performance of a sample composed of n. 191 children in school age distributed in two groups as users: high digital users and low digital users. We measured the verbal and visuoperceptual cognitive performance of children by n. 8 standardized psychological tests and ad hoc self-report questionnaire. Results have evidenced the influence of digital exposition on cognitive development: the cognitive performance is looked enhanced and better developed: high digital users performed better in naming, semantic, visual memory and logical reasoning tasks. Our finding confirms the data present in literature and suggests the strong impact of the technology using not only in the social, educational and quality of life of the people, but also it outlines the functionality and the effect of the digital exposition in early age; increased cognitive abilities of the children tailor digital skilled generation with enhanced cognitive processing toward to smart learning. PMID:28824508

  1. Digital Learning As Enhanced Learning Processing? Cognitive Evidence for New insight of Smart Learning.

    Science.gov (United States)

    Di Giacomo, Dina; Ranieri, Jessica; Lacasa, Pilar

    2017-01-01

    Large use of technology improved quality of life across aging and favoring the development of digital skills. Digital skills can be considered an enhancing to human cognitive activities. New research trend is about the impact of the technology in the elaboration information processing of the children. We wanted to analyze the influence of technology in early age evaluating the impact on cognition. We investigated the performance of a sample composed of n. 191 children in school age distributed in two groups as users: high digital users and low digital users. We measured the verbal and visuoperceptual cognitive performance of children by n. 8 standardized psychological tests and ad hoc self-report questionnaire. Results have evidenced the influence of digital exposition on cognitive development: the cognitive performance is looked enhanced and better developed: high digital users performed better in naming, semantic, visual memory and logical reasoning tasks. Our finding confirms the data present in literature and suggests the strong impact of the technology using not only in the social, educational and quality of life of the people, but also it outlines the functionality and the effect of the digital exposition in early age; increased cognitive abilities of the children tailor digital skilled generation with enhanced cognitive processing toward to smart learning.

  2. Remote Sensing Image Classification With Large-Scale Gaussian Processes

    Science.gov (United States)

    Morales-Alvarez, Pablo; Perez-Suay, Adrian; Molina, Rafael; Camps-Valls, Gustau

    2018-02-01

    Current remote sensing image classification problems have to deal with an unprecedented amount of heterogeneous and complex data sources. Upcoming missions will soon provide large data streams that will make land cover/use classification difficult. Machine learning classifiers can help at this, and many methods are currently available. A popular kernel classifier is the Gaussian process classifier (GPC), since it approaches the classification problem with a solid probabilistic treatment, thus yielding confidence intervals for the predictions as well as very competitive results to state-of-the-art neural networks and support vector machines. However, its computational cost is prohibitive for large scale applications, and constitutes the main obstacle precluding wide adoption. This paper tackles this problem by introducing two novel efficient methodologies for Gaussian Process (GP) classification. We first include the standard random Fourier features approximation into GPC, which largely decreases its computational cost and permits large scale remote sensing image classification. In addition, we propose a model which avoids randomly sampling a number of Fourier frequencies, and alternatively learns the optimal ones within a variational Bayes approach. The performance of the proposed methods is illustrated in complex problems of cloud detection from multispectral imagery and infrared sounding data. Excellent empirical results support the proposal in both computational cost and accuracy.

  3. Hierarchical Categorical Perception in Sensing and Cognitive Processes

    DEFF Research Database (Denmark)

    Bruni, Luis Emilio

    2008-01-01

    This article considers categorical perception (CP) as a crucial process involved in all sort of communication throughout the biological hierarchy, i.e. in all of biosemiosis. Until now, there has been consideration of CP exclusively within the functional cycle of perception-cognition...... communication processes in living systems, including intracellular, intercellular, metabolic, physiological, cognitive and ecological levels. The main idea is to provide an account that considers the heterarchical embeddedness of many instances of CP and CS. This will take me to relate the hierarchical nature...... of categorical sensing and perception with the equally hierarchical issues of the "binding problem", "triadic causality", the "emergent interpretant" and the increasing semiotic freedom observed in biological and cognitive systems....

  4. REAL TIME DATA PROCESSING FOR OPTICAL REMOTE SENSING PAYLOADS

    Directory of Open Access Journals (Sweden)

    J. Wohlfeil

    2012-07-01

    Full Text Available The application of operational systems for remote sensing requires new approaches for data processing. It has to be the goal to derive user relevant information close the sensor itself and to downlink this information to a ground station or to provide them as input to an actuator of the space-borne platform. A complete automation of data processing is an essential first step for a thematic onboard data processing. In a second step, an appropriate onboard computer system has to be de-signed being able to fulfill the requirements. In this paper, standard data processing steps will be introduced correcting systematic errors during image capturing. A new hardware operating system, which is the interface between FPGA hardware and data processing algorithms, gives the opportunity to implement complex data processing modules in an effective way. As an example the derivation the camera's orientation based on data of an optical payload is described in detail. The thereby derived absolute or relative orientation is essential for high level data products. This will be illustrated by means of an onboard image matcher

  5. Enhancing the Teaching of Digital Processing of Remote Sensing Image Course through Geospatial Web Processing Services

    Science.gov (United States)

    di, L.; Deng, M.

    2010-12-01

    Remote sensing (RS) is an essential method to collect data for Earth science research. Huge amount of remote sensing data, most of them in the image form, have been acquired. Almost all geography departments in the world offer courses in digital processing of remote sensing images. Such courses place emphasis on how to digitally process large amount of multi-source images for solving real world problems. However, due to the diversity and complexity of RS images and the shortcomings of current data and processing infrastructure, obstacles for effectively teaching such courses still remain. The major obstacles include 1) difficulties in finding, accessing, integrating and using massive RS images by students and educators, and 2) inadequate processing functions and computing facilities for students to freely explore the massive data. Recent development in geospatial Web processing service systems, which make massive data, computing powers, and processing capabilities to average Internet users anywhere in the world, promises the removal of the obstacles. The GeoBrain system developed by CSISS is an example of such systems. All functions available in GRASS Open Source GIS have been implemented as Web services in GeoBrain. Petabytes of remote sensing images in NASA data centers, the USGS Landsat data archive, and NOAA CLASS are accessible transparently and processable through GeoBrain. The GeoBrain system is operated on a high performance cluster server with large disk storage and fast Internet connection. All GeoBrain capabilities can be accessed by any Internet-connected Web browser. Dozens of universities have used GeoBrain as an ideal platform to support data-intensive remote sensing education. This presentation gives a specific example of using GeoBrain geoprocessing services to enhance the teaching of GGS 588, Digital Remote Sensing taught at the Department of Geography and Geoinformation Science, George Mason University. The course uses the textbook "Introductory

  6. A scaleable integrated sensing and control system for NDE, monitoring, and control of medium to very large composite smart structures

    Science.gov (United States)

    Jones, Jerry; Rhoades, Valerie; Arner, Radford; Clem, Timothy; Cuneo, Adam

    2007-04-01

    NDE measurements, monitoring, and control of smart and adaptive composite structures requires that the central knowledge system have an awareness of the entire structure. Achieving this goal necessitates the implementation of an integrated network of significant numbers of sensors. Additionally, in order to temporally coordinate the data from specially distributed sensors, the data must be time relevant. Early adoption precludes development of sensor technology specifically for this application, instead it will depend on the ability to utilize legacy systems. Partially supported by the U.S. Department of Commerce, National Institute of Standards and Technology, Advanced Technology Development Program (NIST-ATP), a scalable integrated system has been developed to implement monitoring of structural integrity and the control of adaptive/intelligent structures. The project, called SHIELD (Structural Health Identification and Electronic Life Determination), was jointly undertaken by: Caterpillar, N.A. Tech., Motorola, and Microstrain. SHIELD is capable of operation with composite structures, metallic structures, or hybrid structures. SHIELD consists of a real-time processing core on a Motorola MPC5200 using a C language based real-time operating system (RTOS). The RTOS kernel was customized to include a virtual backplane which makes the system completely scalable. This architecture provides for multiple processes to be operating simultaneously. They may be embedded as multiple threads on the core hardware or as separate independent processors connected to the core using a software driver called a NAT-Network Integrator (NATNI). NATNI's can be created for any communications application. In it's current embodiment, NATNI's have been created for CAN bus, TCP/IP (Ethernet) - both wired and 802.11 b and g, and serial communications using RS485 and RS232. Since SHIELD uses standard C language, it is easy to port any monitoring or control algorithm, thus providing for legacy

  7. Control of flexible structures with distributed sensing and processing

    Science.gov (United States)

    Ghosh, Dave; Montgomery, Raymond C.

    1994-01-01

    Technology is being developed to process signals from distributed sensors using distributed computations. These distributed sensors provide a new feedback capability for vibration control that has not been exploited. Additionally, the sensors proposed are of an optical and distributed nature and could be employed with known techniques of distributed optical computation (Fourier optics, etc.) to accomplish the control system functions of filtering and regulation in a distributed computer. This paper extends the traditional digital, optimal estimation and control theory to include distributed sensing and processing for this application. The design model assumes a finite number of modes which make it amenable to empirical determination of the design model via familiar modal-test techniques. The sensors are assumed to be distributed, but a finite number of point actuators are used. The design process is illustrated by application to a Euler beam. A simulation of the beam is used to design an optimal vibration control system that uses a distributed deflection sensor and nine linear force actuators. Simulations are also used to study the influence of design and processing errors on the performance.

  8. Compressed Sensing Image Processing Based on Stagewise Orthogonal Matching Pursuit

    Directory of Open Access Journals (Sweden)

    Kuangfeng Ning

    2014-10-01

    Full Text Available This paper studies the compressed sensing image processing based on Stagewise Orthogonal Matching Pursuit, the relative error, matching degree, and the running time of StOMP algorithm have been researched from the perspective of two-dimensional compressible signals. A simulation platform is built for StOMP algorithm simulation. Further, the performance and complexity are compared for several typical greedy algorithms such as SP, OMP, CosaMP, and StOMP. StOMP is significantly better than SP, OMP and CosaMP algorithm. Image sparsity K must be known by OMP, SP, and CosaMP algorithm, and the original signal can be gradually approached by StOMP, and its step K is unknown. StOMP algorithm can take into account the reconstruction time and reconstruction quality.

  9. A process chain for integrating piezoelectric transducers into aluminum die castings to generate smart lightweight structures

    Science.gov (United States)

    Stein, Stefan; Wedler, Jonathan; Rhein, Sebastian; Schmidt, Michael; Körner, Carolin; Michaelis, Alexander; Gebhardt, Sylvia

    The application of piezoelectric transducers to structural body parts of machines or vehicles enables the combination of passive mechanical components with sensor and actuator functions in one single structure. According to Herold et al. [1] and Staeves [2] this approach indicates significant potential regarding smart lightweight construction. To obtain the highest yield, the piezoelectric transducers need to be integrated into the flux of forces (load path) of load bearing structures. Application in a downstream process reduces yield and process efficiency during manufacturing and operation, due to the necessity of a subsequent process step of sensor/actuator application. The die casting process offers the possibility for integration of piezoelectric transducers into metal structures. Aluminum castings are particularly favorable due to their high quality and feasibility for high unit production at low cost (Brunhuber [3], Nogowizin [4]). Such molded aluminum parts with integrated piezoelectric transducers enable functions like active vibration damping, structural health monitoring or energy harvesting resulting in significant possibilities of weight reduction, which is an increasingly important driving force of automotive and aerospace industry (Klein [5], Siebenpfeiffer [6]) due to increasingly stringent environmental protection laws. In the scope of those developments, this paper focuses on the entire process chain enabling the generation of lightweight metal structures with sensor and actuator function, starting from the manufacturing of piezoelectric modules over electrical and mechanical bonding to the integration of such modules into aluminum (Al) matrices by die casting. To achieve this challenging goal, piezoceramic sensors/actuator modules, so-called LTCC/PZT modules (LPM) were developed, since ceramic based piezoelectric modules are more likely to withstand the thermal stress of about 700 °C introduced by the casting process (Flössel et al., [7]). The

  10. Brick : Metadata Schema for Portable Smart Building Applications

    DEFF Research Database (Denmark)

    Balaji, Bharathan; Bhattacharya, Arka; Fierro, Gabe

    2018-01-01

    in embedded sensing, processing, networking and methods by which they can be coupled with supervisory control and data acquisition systems deployed in modern buildings and with users on mobile wireless platforms. There are, however, several technical challenges before such a vision of smart building...

  11. The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development

    Science.gov (United States)

    Ni, Qin; García Hernando, Ana Belén; de la Cruz, Iván Pau

    2015-01-01

    Human activity detection within smart homes is one of the basis of unobtrusive wellness monitoring of a rapidly aging population in developed countries. Most works in this area use the concept of “activity” as the building block with which to construct applications such as healthcare monitoring or ambient assisted living. The process of identifying a specific activity encompasses the selection of the appropriate set of sensors, the correct preprocessing of their provided raw data and the learning/reasoning using this information. If the selection of the sensors and the data processing methods are wrongly performed, the whole activity detection process may fail, leading to the consequent failure of the whole application. Related to this, the main contributions of this review are the following: first, we propose a classification of the main activities considered in smart home scenarios which are targeted to older people’s independent living, as well as their characterization and formalized context representation; second, we perform a classification of sensors and data processing methods that are suitable for the detection of the aforementioned activities. Our aim is to help researchers and developers in these lower-level technical aspects that are nevertheless fundamental for the success of the complete application. PMID:26007717

  12. The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development

    Directory of Open Access Journals (Sweden)

    Qin Ni

    2015-05-01

    Full Text Available Human activity detection within smart homes is one of the basis of unobtrusive wellness monitoring of a rapidly aging population in developed countries. Most works in this area use the concept of “activity” as the building block with which to construct applications such as healthcare monitoring or ambient assisted living. The process of identifying a specific activity encompasses the selection of the appropriate set of sensors, the correct preprocessing of their provided raw data and the learning/reasoning using this information. If the selection of the sensors and the data processing methods are wrongly performed, the whole activity detection process may fail, leading to the consequent failure of the whole application. Related to this, the main contributions of this review are the following: first, we propose a classification of the main activities considered in smart home scenarios which are targeted to older people’s independent living, as well as their characterization and formalized context representation; second, we perform a classification of sensors and data processing methods that are suitable for the detection of the aforementioned activities. Our aim is to help researchers and developers in these lower-level technical aspects that are nevertheless fundamental for the success of the complete application.

  13. Deep smarts.

    Science.gov (United States)

    Leonard, Dorothy; Swap, Walter

    2004-09-01

    When a person sizes up a complex situation and rapidly comes to a decision that proves to be not just good but brilliant, you think, "That was smart." After you watch him do this a few times, you realize you're in the presence of something special. It's not raw brainpower, though that helps. It's not emotional intelligence, either, though that, too, is often involved. It's deep smarts. Deep smarts are not philosophical--they're not"wisdom" in that sense, but they're as close to wisdom as business gets. You see them in the manager who understands when and how to move into a new international market, in the executive who knows just what kind of talk to give when her organization is in crisis, in the technician who can track a product failure back to an interaction between independently produced elements. These are people whose knowledge would be hard to purchase on the open market. Their insight is based on know-how more than on know-what; it comprises a system view as well as expertise in individual areas. Because deep smarts are experienced based and often context specific, they can't be produced overnight or readily imported into an organization. It takes years for an individual to develop them--and no time at all for an organization to lose them when a valued veteran walks out the door. They can be taught, however, with the right techniques. Drawing on their forthcoming book Deep Smarts, Dorothy Leonard and Walter Swap say the best way to transfer such expertise to novices--and, on a larger scale, to make individual knowledge institutional--isn't through PowerPoint slides, a Web site of best practices, online training, project reports, or lectures. Rather, the sage needs to teach the neophyte individually how to draw wisdom from experience. Companies have to be willing to dedicate time and effort to such extensive training, but the investment more than pays for itself.

  14. Optical signal processing for a smart vehicle lighting system using a-SiCH technology

    Science.gov (United States)

    Vieira, M. A.; Vieira, M.; Vieira, P.; Louro, P.

    2017-05-01

    We propose the use of Visible Light Communication (VLC) for vehicle safety applications, creating a smart vehicle lighting system that combines the functions of illumination and signaling, communications, and positioning. The feasibility of VLC is demonstrated by employing trichromatic Red-Green-Blue (RGB) LEDs as transmitters, since they offer the possibility of Wavelength Division Multiplexing (WDM), which can greatly increase the transmission data rate, when using SiC double p-i-n receivers to encode/decode the information. Trichromatic RGB Light Emitting Diodes (LED)s (RGB-LED) are used together for illumination proposes (headlamps) and individually, each chip, to transmit the driving range distance and data information. An on-off code is used to transmit the data. Free space is the transmission medium. The receivers consist of two stacked amorphous a-H:SiC cells. They combine the simultaneous demultiplexing operation with the photodetection and self-amplification. The proposed coding is based on SiC technology. Multiple Input Multi Output (MIMO) architecture is used. For data transmission, we propose the use of two headlights based on commercially available modulated white RGB-LEDs. For data receiving and decoding we use three a-SiC:H double pin/pin optical processors symmetrically distributed at the vehicle tail Moreover, we present a way to achieve vehicular communication using the parity bits. A representation with a 4 bit original string color message and the transmitted 7 bit string, the encoding and decoding accurate positional information processes and the design of SiC navigation system are discussed and tested. A visible multilateration method estimates the drive distance range by using the decoded information received from several non-collinear transmitters.

  15. Smart technology

    International Nuclear Information System (INIS)

    Bruckner, D.G.

    1991-01-01

    The success of smart technology in the pursuit of the Gulf War has accentuated the awareness of how the Safeguards and Security disciplines are changing in response to new weaponry. Throughout the Department of Energy Integrated Complex (IC) Safeguards and Security efforts such as: Protection Programs Operations; Materials, Controls and Accountability; Information Security; Computer Security; Operational Security; Personnel Security, Safeguards and/or Security (S and S) surveys, and Inspections and Evaluations are undergoing a reassessment and refocusing. Some of this is in response to such things as the DOE initiated Freeze Report and the Drell Report. An important aspect is also technological, adjusting the way business is done in light of the weapons, tools and processes/procedures becoming available. This paper addresses the S and S issues with the promise of using smart technology to develop new approaches and equipment across the IC

  16. Airborne remote sensing of cloud optical thickness, effective radius, thermodynamic phase and cloud droplet number concentration with SMART-HALO.

    Science.gov (United States)

    Wolf, Kevin; Ehrlich, André; Wendisch, Manfred; Crewell, Susanne; Jacob, Marek

    2017-04-01

    Solar spectral measurements of upward and downward irradiance and upward radiance in the wavelength range from 0.3 µm to 2.2 µm by the Spectral Modular Airborne Radiation measurement system (SMART) on board the High Altitude and Long Range Research Aircraft (HALO) were performed during two campaigns dedicated to investigate cloud properties in different cloud regimes. During NARVAL-II shallow convection in the trade-wind region and deep convection along the ITCZ were investigated over the Atlantic Ocean in August 2016. The NAWDEX campaign focused on clouds along warm-conveyor belts in the North Atlantic and the Norwegian Sea in September and October 2016. Applying an iterative retrieval the Liquid Water Path was derived from measurements of the reflected radiation from cloud top at a wavelength of 0.8 µm sensitive to the optical thickness and 1.2 µm, 1.6 µm, and 2.1 µm sensitive to the effective radius with different vertical weighting functions. Using ratios of upward radiance instead of absolute values reduces retrieval uncertainties noticeably. The thermodynamic phase at cloud top was determined by measuring the spectral slopes in the wavelength range between 1.0 µm and 2.2 µm. The statistical cloud situation / frequency of occurrence along the flight track was determined by a cloud discrimination scheme using the different spectral behavior of liquid water clouds and sea surface at wavelengths of 0.8 µm, 1.1 µm and 1.3 µm. All derived cloud properties were used to investigate the spectral cloud top albedo measured simultaneously by SMART-HALO. A statistical analysis of how strong the different cloud properties affect the cloud albedo will be presented. In conjunction with measurements of the Liquid Water Path by the HALO Microwave Package (HAMP) a first estimate of the cloud droplet number concentration for selected flight sections over non-precipitating liquid trade-wind cumulus was achieved.

  17. Dirichlet Process Gaussian Mixture Model for Activity Discovery in Smart Homes with Ambient Sensors

    NARCIS (Netherlands)

    Nguyen, Thuong; Le Viet Duc, Duc Viet; Zhang, Quing; Karunanithi, Mohan

    2017-01-01

    Most of the existing approaches to activity recognition in smart homes rely on supervised learning with well annotated sensor data. However obtaining such labeled data is not only challenging but sometimes also an unobtainable task, especially for senior citizens who may suffer various mental health

  18. A wearable 3D motion sensing system integrated with a Bluetooth smart phone application: A system level overview

    KAUST Repository

    Karimi, Muhammad Akram

    2018-01-02

    An era of ubiquitous motion sensing has just begun. All electronic gadgets ranging from game consoles to mobile phones have some sort of motion sensors in them. In contrast to rigid motion sensing systems, this paper presents a system level description of a wearable 3D motion sensor. The sensing mechanism is based upon well-established magnetic and inertial measurement unit (MIMU), which integrates accelerometer, gyroscope and magnetometer data. Two sensor boards have been integrated within a wearable arm sleeve to capture 3D orientation of the human arm. The sensors have been interfaced with a Bluetooth transceiver chip, which transmits data to a mobile phone app using standard Bluetooth protocol. An android mobile phone app has been developed to display the human arm motion in real time.

  19. Proceedings of the Eleventh International Symposium on Remote Sensing of Environment, volume 2. [application and processing of remotely sensed data

    Science.gov (United States)

    1977-01-01

    Application and processing of remotely sensed data are discussed. Areas of application include: pollution monitoring, water quality, land use, marine resources, ocean surface properties, and agriculture. Image processing and scene analysis are described along with automated photointerpretation and classification techniques. Data from infrared and multispectral band scanners onboard LANDSAT satellites are emphasized.

  20. Findings for the implementation of a foresight process. Case: NCE Smart Energy Markets; Funn etter gjennomfoering av en foresightprosess. Case: NCE Smart Energy Markets

    Energy Technology Data Exchange (ETDEWEB)

    Johansen, Frode Ramstad

    2011-07-01

    NCE Smart Energy Markets conducted in the period 2009 - 2010 a foresight process in which it was conducted a preliminary meeting, a kick-off meeting, four major collections and a 'recovery meeting' way for players who would enter the process. As a result, they decided to continue a joint process management meetings under the name of the cluster with new collections 2010 - 2011 with the same external process manager. VRI Oestfold; Oestfold Research helped with follow-up evaluation of the process and presented in this report findings from the evaluation of the process. The purpose of the evaluation was, among other things, to contribute to a good process flow, documentation of experiences and achievements and contributions to better understanding and discussion about the direction and emphasis on the way. The evaluation aimed to answer the following three questions: Are the expected results achieved? Is the process complete successfully?Is foresight appropriate instrument in the given situation?The findings indicate that participants perceive that they are on course to reach the goals that are related to the community; common cluster strategy for growth and renewal, carving out the correct goals for the future, the process for getting into a committed relationship, and develop an innovative environment that can stay ahead of the market. At the same time they perceive that they are not close to having achieved the one goal that is directly related to the individual company - to contribute to the individual company's strategy will be more successful. Process management is perceived as a distinct and developing well underway, while project management is perceived as not quite so obvious, but in a better development. When we look at the core businesses consisting of few active businesses and some of the original have reduced their participation, while a number new have come to the last two workshops. It also appears that there is a potential to increase

  1. Design, processing and characterization of mechanically alloyed galfenol & lightly rare-earth doped FeGa alloys as smart materials for actuators and transducers

    Science.gov (United States)

    Taheri, Parisa

    Smart materials find a wide range of application areas due to their varied response to external stimuli. The different areas of application can be in our day to day life, aerospace, civil engineering applications, and mechatronics to name a few. Magnetostrictive materials are a class of smart materials that can convert energy between the magnetic and elastic states. Galfenol is a magnetostrictive alloy comprised primarily of the elements iron (Fe) and gallium (Ga). Galfenol exhibits a unique combination of mechanical and magnetostrictive (magnetic) properties that legacy smart materials do not. Galfenol's ability to function while in tension, mechanical robustness and high Curie temperature (600 °C) is attracting interest for the alloy's use in mechanically harsh and elevated temperature environments. Applications actively being investigated include transducers for down-hole use, next-generation fuel injectors, sensing, and energy harvesting devices. Understanding correlations between microstructure, electronic structure, and functional response is key to developing novel magnetostrictive materials for sensor and actuator technologies. To this end, in the first part of this thesis we report successful fabrication and investigation of magnetic and magnetostrictive properties of mechanically alloyed Fe81Ga19 compounds. For the first time, we could measure magnetostrictive properties of mechanically alloyed FeGa compounds. A maximum saturation magnetostriction of 41 ppm was achieved which is comparable to those measured from polycrystalline FeGa alloys prepared by other processing techniques, namely gas atomization and cold rolling. Overall, this study demonstrates the feasibility of large-scale production of FeGa polycrystalline alloys powders by a simple and cost-effective mechanical alloying technique. In the second part of this work, we report for the first time, experimental results pertaining to successful fabrication and advanced characterization of a series

  2. Geovisualization for Smart Video Surveillance

    Science.gov (United States)

    Oves García, R.; Valentín, L.; Serrano, S. A.; Palacios-Alonso, M. A.; Sucar, L. Enrique

    2017-09-01

    Nowadays with the emergence of smart cities and the creation of new sensors capable to connect to the network, it is not only possible to monitor the entire infrastructure of a city, including roads, bridges, rail/subways, airports, communications, water, power, but also to optimize its resources, plan its preventive maintenance and monitor security aspects while maximizing services for its citizens. In particular, the security aspect is one of the most important issues due to the need to ensure the safety of people. However, if we want to have a good security system, it is necessary to take into account the way that we are going to present the information. In order to show the amount of information generated by sensing devices in real time in an understandable way, several visualization techniques are proposed for both local (involves sensing devices in a separated way) and global visualization (involves sensing devices as a whole). Taking into consideration that the information is produced and transmitted from a geographic location, the integration of a Geographic Information System to manage and visualize the behavior of data becomes very relevant. With the purpose of facilitating the decision-making process in a security system, we have integrated the visualization techniques and the Geographic Information System to produce a smart security system, based on a cloud computing architecture, to show relevant information about a set of monitored areas with video cameras.

  3. Smart TV and data protection

    NARCIS (Netherlands)

    van Breda, B.; van Eijk, N.; Irion, K.; McGonagle, T.; van Voorst, S.

    2016-01-01

    What is smart TV? How does smart TV compare with other forms of audiovisual media? What regulatory frameworks govern smart TV? What guidance can be found in selected country-specific case studies? What are the dangers associated with the collection, storage and processing of private user information

  4. Smart sensors and systems innovations for medical, environmental, and IoT applications

    CERN Document Server

    Yasuura, Hiroto; Liu, Yongpan; Lin, Youn-Long

    2017-01-01

    This book describes the technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoT). The authors provide a multidisciplinary view of sensor technology from materials, process, circuits, and big data domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms. Profiles active research on smart sensors based on CMOS microelectronics; Describes applications of sensors and sensor systems in cyber physical systems, the social information infrastructure in our modern world; Includes coverage of a variety of related information technologies supporting the application of sensors; Discusses the integration of computation, networking, actuation, database...

  5. Clinical Outcomes of the Cochlear™ Nucleus(®) 5 Cochlear Implant System and SmartSound™ 2 Signal Processing.

    Science.gov (United States)

    Runge, Christina L; Henion, Kathryn; Tarima, Sergey; Beiter, Anne; Zwolan, Teresa A

    2016-06-01

    While published data exist regarding cochlear implant (CI) outcomes from large academic programs, evidence of benefit based on national, multicenter clinical trials is needed for information regarding typical patient outcomes of devices implanted by U.S. centers representing larger academic to smaller hospital-based programs. This nationwide trial evaluated outcomes in a group of newly implanted adult recipients of the Cochlear™ Nucleus(®) 5 CI system and SmartSound™ 2 signal processing. Unlike previous clinical trials, the AzBio sentence test was used and represents recent transition in our field to use of more challenging test materials. It was hypothesized that (1) speech perception scores in quiet with SmartSound™ 2 signal processing would not be statistically different from previous-generation devices; (2) speech perception scores in noise with SmartSound™ 2 signal processing would be better with enhanced microphone directionality; (3) speech perception scores in noise will be better with the preferred SmartSound™ 2 program for listening in noise; and (4) cochlear implantation would improve quality of life as assessed by the updated Health Utility Index Mark 3 (HUI3). A secondary purpose was to examine the relationships among the current and previously used speech perception tests of the Minimum Speech Test Battery (MSTB). It was hypothesized that speech perception scores within the same test interval would show predictive relationships. Prospective, single-arm, repeated-measures study across 13 CI centers in the United States between February 2010 and June 2012. The participating centers ranged from larger academic to smaller hospital-based programs to accurately represent the diversity of programs in the United States. Participants were 38 postlingually deafened adult CI candidates. Primary measures were Consonant-Nucleus-Consonant (CNC) words in quiet and the AzBio Sentence Test in Quiet (AzBioQ) and in Noise (AzBioN) tested at preoperative, and

  6. Pattern Recognition in Optical Remote Sensing Data Processing

    Science.gov (United States)

    Kozoderov, Vladimir; Kondranin, Timofei; Dmitriev, Egor; Kamentsev, Vladimir

    Computational procedures of the land surface biophysical parameters retrieval imply that modeling techniques are available of the outgoing radiation description together with monitoring techniques of remote sensing data processing using registered radiances between the related optical sensors and the land surface objects called “patterns”. Pattern recognition techniques are a valuable approach to the processing of remote sensing data for images of the land surface - atmosphere system. Many simplified codes of the direct and inverse problems of atmospheric optics are considered applicable for the imagery processing of low and middle spatial resolution. Unless the authors are not interested in the accuracy of the final information products, they utilize these standard procedures. The emerging necessity of processing data of high spectral and spatial resolution given by imaging spectrometers puts forward the newly defined pattern recognition techniques. The proposed tools of using different types of classifiers combined with the parameter retrieval procedures for the forested environment are maintained to have much wider applications as compared with the image features and object shapes extraction, which relates to photometry and geometry in pixel-level reflectance representation of the forested land cover. The pixel fraction and reflectance of “end-members” (sunlit forest canopy, sunlit background and shaded background for a particular view and solar illumination angle) are only a part in the listed techniques. It is assumed that each pixel views collections of the individual forest trees and the pixel-level reflectance can thus be computed as a linear mixture of sunlit tree tops, sunlit background (or understory) and shadows. Instead of these photometry and geometry constraints, the improved models are developed of the functional description of outgoing spectral radiation, in which such parameters of the forest canopy like the vegetation biomass density for

  7. Experimental wind tunnel study of a smart sensing skin for condition evaluation of a wind turbine blade

    Science.gov (United States)

    Downey, Austin; Laflamme, Simon; Ubertini, Filippo

    2017-12-01

    Condition evaluation of wind turbine blades is difficult due to their large size, complex geometry and lack of economic and scalable sensing technologies capable of detecting, localizing, and quantifying faults over a blade’s global area. A solution is to deploy inexpensive large area electronics over strategic areas of the monitored component, analogous to sensing skin. The authors have previously proposed a large area electronic consisting of a soft elastomeric capacitor (SEC). The SEC is highly scalable due to its low cost and ease of fabrication, and can, therefore, be used for monitoring large-scale components. A single SEC is a strain sensor that measures the additive strain over a surface. Recently, its application in a hybrid dense sensor network (HDSN) configuration has been studied, where a network of SECs is augmented with a few off-the-shelf strain gauges to measure boundary conditions and decompose the additive strain to obtain unidirectional surface strain maps. These maps can be analyzed to detect, localize, and quantify faults. In this work, we study the performance of the proposed sensing skin at conducting condition evaluation of a wind turbine blade model in an operational environment. Damage in the form of changing boundary conditions and cuts in the monitored substrate are induced into the blade. An HDSN is deployed onto the interior surface of the substrate, and the blade excited in a wind tunnel. Results demonstrate the capability of the HDSN and associated algorithms to detect, localize, and quantify damage. These results show promise for the future deployment of fully integrated sensing skins deployed inside wind turbine blades for condition evaluation.

  8. Smart cloud system with image processing server in diagnosing brain diseases dedicated for hospitals with limited resources.

    Science.gov (United States)

    Fahmi, Fahmi; Nasution, Tigor H; Anggreiny, Anggreiny

    2017-01-01

    The use of medical imaging in diagnosing brain disease is growing. The challenges are related to the big size of data and complexity of the image processing. High standard of hardware and software are demanded, which can only be provided in big hospitals. Our purpose was to provide a smart cloud system to help diagnosing brain diseases for hospital with limited infrastructure. The expertise of neurologists was first implanted in cloud server to conduct an automatic diagnosis in real time using image processing technique developed based on ITK library and web service. Users upload images through website and the result, in this case the size of tumor was sent back immediately. A specific image compression technique was developed for this purpose. The smart cloud system was able to measure the area and location of tumors, with average size of 19.91 ± 2.38 cm2 and an average response time 7.0 ± 0.3 s. The capability of the server decreased when multiple clients accessed the system simultaneously: 14 ± 0 s (5 parallel clients) and 27 ± 0.2 s (10 parallel clients). The cloud system was successfully developed to process and analyze medical images for diagnosing brain diseases in this case for tumor.

  9. Humidity sensing in insects-from ecology to neural processing.

    Science.gov (United States)

    Enjin, Anders

    2017-12-01

    Humidity is an omnipresent climatic factor that influences the fitness, reproductive behavior and geographic distribution of animals. Insects in particular use humidity cues to navigate the environment. Although the sensory neurons of this elusive sense were first described more than fifty years ago, the transduction mechanism of humidity sensing (hygrosensation) remains unknown. Recent work has uncovered some of the key molecules involved, opening up for novel approaches to study hygrosensory transduction. In this review, I will discuss this progress made toward understanding hygrosensation in insects. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. A Smart Toy to Enhance the Decision-Making Process at Children's Psychomotor Delay Screenings: A Pilot Study.

    Science.gov (United States)

    Gutiérrez García, María Angeles; Martín Ruiz, María Luisa; Rivera, Diego; Vadillo, Laura; Valero Duboy, Miguel Angel

    2017-05-19

    .961, 95% CI 0.937-0.967), suggesting that the process was successful to separate different levels of performance. A factor analysis of collected data showed that three factors, trembling, speed, and accuracy, accounted for 76.79% of the total variance, but only two of them were predictors of performance in a regression analysis: accuracy (P=.001) and speed (P=.002). The other factor, trembling (P=.79), did not have a significant effect on this dependent variable. The EDUCERE DDSS is ready to use the regression equation obtained for the dependent variable "performance" as an algorithm for the automatic detection of psychomotor developmental delays. The results of the factor analysis are valuable to simplify the design of the smart toy by taking into account only the significant variables in the collector module. The fine-tuning of the toy process module will be carried out by following the specifications resulting from the analysis of the data to improve the efficiency and effectiveness of the product. ©María Angeles Gutiérrez García, María Luisa Martín Ruiz, Diego Rivera, Laura Vadillo, Miguel Angel Valero Duboy. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.05.2017.

  11. Smart Sensing Based on DNA-Metal Interaction Enables a Label-Free and Resettable Security Model of Electrochemical Molecular Keypad Lock.

    Science.gov (United States)

    Du, Yan; Han, Xu; Wang, Chenxu; Li, Yunhui; Li, Bingling; Duan, Hongwei

    2018-01-26

    Recently, molecular keypad locks have received increasing attention. As a new subgroup of smart biosensors, they show great potential for protecting information as a molecular security data processor, rather than merely molecular recognition and quantitation. Herein, label-free electrochemically transduced Ag + and cysteine (Cys) sensors were developed. A molecular keypad lock model with reset function was successfully realized based on the balanced interaction of metal ion with its nucleic acid and chemical ligands. The correct input of "1-2-3" (i.e., "Ag + -Cys-cDNA") is the only password of such molecular keypad lock. Moreover, the resetting process of either correct or wrong input order could be easily made by Cys, buffer, and DI water treatment. Therefore, our system provides an even smarter system of molecular keypad lock, which could inhibit illegal access of unauthorized users, holding great promise in information protection at the molecular level.

  12. Remote sensing, airborne radiometric survey and aeromagnetic survey data processing and analysis

    International Nuclear Information System (INIS)

    Dong Xiuzhen; Liu Dechang; Ye Fawang; Xuan Yanxiu

    2009-01-01

    Taking remote sensing data, airborne radiometric data and aero magnetic survey data as an example, the authors elaborate about basic thinking of remote sensing data processing methods, spectral feature analysis and adopted processing methods, also explore the remote sensing data combining with the processing of airborne radiometric survey and aero magnetic survey data, and analyze geological significance of processed image. It is not only useful for geological environment research and uranium prospecting in the study area, but also reference to applications in another area. (authors)

  13. Corporate Smart Phones

    DEFF Research Database (Denmark)

    Cavazotte, Flávia; Heloisa Lemos, Ana; Villadsen, Kaspar

    2014-01-01

    This article explores how the adoption of company sponsored smart phones inflicts upon the lives of professionals. Drawing upon qualitative interviews at a law firm in Brazil, the experiences of new smart phone users are reported upon in detail. Increased accessibility, accuracy and speed...... that these justifications display users' attempt to ‘dis-identify’ with the role and practice they perform....... in exchanges gave the users a sense of autonomy and flexibility. However, the technology also helped to intensify the organisation's hold on employees outside of regular working hours, reaching into new settings, time slots and social contexts. Employees expressed concerns regarding demands from superiors...

  14. Sense of Classroom Community and Team Development Process in Online Learning

    Science.gov (United States)

    Erdem Aydin, Irem; Gumus, Salih

    2016-01-01

    The purpose of this study is to determine whether there is a relationship between Turkish online learners' sense of classroom community, perceptions of success in team development process and their preferences of studying in teams. A survey instrument included the Sense of Classroom Community Scale, Tuckman's Teamwork Questionnaire and some other…

  15. Smart assistants for smart homes

    OpenAIRE

    Rasch, Katharina

    2013-01-01

    The smarter homes of tomorrow promise to increase comfort, aid elderly and disabled people, and help inhabitants save energy. Unfortunately, smart homes today are far from this vision – people who already live in such a home struggle with complicated user interfaces, inflexible home configurations, and difficult installation procedures. Under these circumstances, smart homes are not ready for mass adoption. This dissertation addresses these issues by proposing two smart assistants for smart h...

  16. Ferroelectric hybrid fibers to develop flexible sensors for shape sensing of smart textiles and soft condensed matter bodies

    Science.gov (United States)

    Sebastian, Tutu; Lusiola, Tony; Clemens, Frank

    2017-04-01

    Piezoelectric fibers are widely used in composites for actuator and sensor applications due to its ability to convert electrical pulses into mechanical vibrations and transform the returned mechanical vibrations back into electrical signal. They are beneficial for the fabrication of composites especially 1-3 composites, active fiber composites (unidirectional axially aligned PZT fibers sandwiched between interdigitated electrodes and embedded in a polymer matrix) etc, with potential applications in medical imaging, structural health monitoring, energy harvesting, vibration and noise control. However, due to the brittle nature of PZT fibers, maximum strain is limited to 0.2% and cannot be integrated into flexible sensor applications. In this contribution, a new approach to develop flexible ferroelectric hybrid fibers for soft body shape sensing is investigated. Piezoelectric particles incorporated in a polymer matrix and extruded as fiber, 0-3 composite in fibrous form is studied. Commercially obtained calcined PZT and calcined BaTiO3 powders were used in the unsintered form to obtain flexible soft condensed matter ferroelectric hybrid fibers. The extruded fibers were subjected to investigation for their electromechanical behavior as a function of electric field. The hybrid fibers reached 10% of the maximum polarization of their sintered counterpart.

  17. Smart carbon nanotube/fiber and PVA fiber-reinforced composites for stress sensing and chloride ion detection

    Science.gov (United States)

    Hoheneder, Joshua

    Fiber reinforced composites (FRC) with polyvinyl alcohol (PVA) fibers and carbon nanofibers (CNF) had an excellent flexural strength in excess of 18.5 MPa compared to reference samples of 15.8 MPa. It was found that the developed, depending on applied stress and exposure to chloride solutions, composites exhibit some electrical conductivity, from 4.20×10 -4 (Ω-1m-1 to 4.13×10 -4 Ω-1m-1. These dependences can be characterized by piezioresistive and chemoresistive coefficients demonstrating that the material possesses self-sensing capabilities. The sensitivity to stain and chloride solutions can be enhanced by incorporating small amounts of carbon nanofibers (CNF) or carbon nanotube (CNT) into composite structure. Conducted research has demonstrated a strong dependency of electrical properties of composite on crack formation in moist environments. The developed procedure is scalable for industrial application in concrete structures that require nondestructive stress monitoring, integrity under high service loads and stability in harsh environments.

  18. USING A DIGITAL VIDEO CAMERA AS THE SMART SENSOR OF THE SYSTEM FOR AUTOMATIC PROCESS CONTROL OF GRANULAR FODDER MOLDING

    Directory of Open Access Journals (Sweden)

    M. M. Blagoveshchenskaya

    2014-01-01

    Full Text Available Summary. The most important operation of granular mixed fodder production is molding process. Properties of granular mixed fodder are defined during this process. They determine the process of production and final product quality. The possibility of digital video camera usage as intellectual sensor for control system in process of production is analyzed in the article. The developed parametric model of the process of bundles molding from granular fodder mass is presented in the paper. Dynamic characteristics of the molding process were determined. A mathematical model of motion of bundle of granular fodder mass after matrix holes was developed. The developed mathematical model of the automatic control system (ACS with the use of etalon video frame as the set point in the MATLAB software environment was shown. As a parameter of the bundles molding process it is proposed to use the value of the specific area defined in the mathematical treatment of the video frame. The algorithms of the programs to determine the changes in structural and mechanical properties of the feed mass in video frames images were developed. Digital video shooting of various modes of the molding machine was carried out and after the mathematical processing of video the transfer functions for use as a change of adjustable parameters of the specific area were determined. Structural and functional diagrams of the system of regulation of the food bundles molding process with the use of digital camcorders were built and analyzed. Based on the solution of the equations of fluid dynamics mathematical model of bundle motion after leaving the hole matrix was obtained. In addition to its viscosity, creep property was considered that is characteristic of the feed mass. The mathematical model ACS of the bundles molding process allowing to investigate transient processes which occur in the control system that uses a digital video camera as the smart sensor was developed in Simulink

  19. Electricity Markets, Smart Grids and Smart Buildings

    Science.gov (United States)

    Falcey, Jonathan M.

    A smart grid is an electricity network that accommodates two-way power flows, and utilizes two-way communications and increased measurement, in order to provide more information to customers and aid in the development of a more efficient electricity market. The current electrical network is outdated and has many shortcomings relating to power flows, inefficient electricity markets, generation/supply balance, a lack of information for the consumer and insufficient consumer interaction with electricity markets. Many of these challenges can be addressed with a smart grid, but there remain significant barriers to the implementation of a smart grid. This paper proposes a novel method for the development of a smart grid utilizing a bottom up approach (starting with smart buildings/campuses) with the goal of providing the framework and infrastructure necessary for a smart grid instead of the more traditional approach (installing many smart meters and hoping a smart grid emerges). This novel approach involves combining deterministic and statistical methods in order to accurately estimate building electricity use down to the device level. It provides model users with a cheaper alternative to energy audits and extensive sensor networks (the current methods of quantifying electrical use at this level) which increases their ability to modify energy consumption and respond to price signals The results of this method are promising, but they are still preliminary. As a result, there is still room for improvement. On days when there were no missing or inaccurate data, this approach has R2 of about 0.84, sometimes as high as 0.94 when compared to measured results. However, there were many days where missing data brought overall accuracy down significantly. In addition, the development and implementation of the calibration process is still underway and some functional additions must be made in order to maximize accuracy. The calibration process must be completed before a reliable

  20. Autonomous Multicamera Tracking on Embedded Smart Cameras

    Directory of Open Access Journals (Sweden)

    Bischof Horst

    2007-01-01

    Full Text Available There is currently a strong trend towards the deployment of advanced computer vision methods on embedded systems. This deployment is very challenging since embedded platforms often provide limited resources such as computing performance, memory, and power. In this paper we present a multicamera tracking method on distributed, embedded smart cameras. Smart cameras combine video sensing, processing, and communication on a single embedded device which is equipped with a multiprocessor computation and communication infrastructure. Our multicamera tracking approach focuses on a fully decentralized handover procedure between adjacent cameras. The basic idea is to initiate a single tracking instance in the multicamera system for each object of interest. The tracker follows the supervised object over the camera network, migrating to the camera which observes the object. Thus, no central coordination is required resulting in an autonomous and scalable tracking approach. We have fully implemented this novel multicamera tracking approach on our embedded smart cameras. Tracking is achieved by the well-known CamShift algorithm; the handover procedure is realized using a mobile agent system available on the smart camera network. Our approach has been successfully evaluated on tracking persons at our campus.

  1. Theory and applications of smart cameras

    CERN Document Server

    2016-01-01

    This book presents an overview of smart camera systems, considering practical applications but also reviewing fundamental aspects of the underlying technology.  It introduces in a tutorial style the principles of sensing and signal processing, and also describes topics such as wireless connection to the Internet of Things (IoT) which is expected to be the biggest market for smart cameras. It is an excellent guide to the fundamental of smart camera technology, and the chapters complement each other well as the authors have worked as a team under the auspice of GFP(Global Frontier Project), the largest-scale funded research in Korea.  This is the third of three books based on the Integrated Smart Sensors research project, which describe the development of innovative devices, circuits, and system-level enabling technologies.  The aim of the project was to develop common platforms on which various devices and sensors can be loaded, and to create systems offering significant improvements in information processi...

  2. On the Convergence of Implicit Iterative Processes for Asymptotically Pseudocontractive Mappings in the Intermediate Sense

    Directory of Open Access Journals (Sweden)

    Xiaolong Qin

    2011-01-01

    Full Text Available An implicit iterative process is considered. Strong and weak convergence theorems of common fixed points of a finite family of asymptotically pseudocontractive mappings in the intermediate sense are established in a real Hilbert space.

  3. Application of smart BFRP bars with distributed fiber optic sensors into concrete structures

    Science.gov (United States)

    Tang, Yongsheng; Wu, Zhishen; Yang, Caiqian; Wu, Gang; Zhao, Lihua; Song, Shiwei

    2010-04-01

    In this paper, the self-sensing and mechanical properties of concrete structures strengthened with a novel type of smart basalt fiber reinforced polymer (BFRP) bars were experimentally studied, wherein the sensing element is Brillouin scattering-based distributed optical fiber sensing technique. First, one of the smart bars was applied to strengthen a 2m concrete beam under a 4-points static loading manner in the laboratory. During the experiment, the bar can measure the inner strain changes and monitor the randomly distributed cracks well. With the distributed strain information along the bar, the distributed deformation of the beam can be calculated, and the structural health can be monitored and evaluated as well. Then, two smart bars with a length of about 70m were embedded into a concrete airfield pavement reinforced by long BFRP bars. In the field test, all the optical fiber sensors in the smart bars survived the whole concrete casting process and worked well. From the measured data, the concrete cracks along the pavement length can be easily monitored. The experimental results also confirmed that the bars can strengthen the structures especially after the yielding of steel bars. All the results confirm that this new type of smart BFRP bars show not only good sensing performance but also mechanical performance in the concrete structures.

  4. Smart City and Smart Tourism: A Case of Dubai

    OpenAIRE

    M. Sajid Khan; Mina Woo; Kichan Nam; Prakash K. Chathoth

    2017-01-01

    Over the past decade, the advent of new technology has brought about the emergence of smart cities aiming to provide their stakeholders with technology-based solutions that are effective and efficient. Insofar as the objective of smart cities is to improve outcomes that are connected to people, systems and processes of businesses, government and other public- and private-sector entities, its main goal is to improve the quality of life of all residents. Accordingly, smart tourism has emerged o...

  5. Smart mobility in smart cities

    Energy Technology Data Exchange (ETDEWEB)

    Baucells, Aleta N.

    2016-07-01

    Cities are currently undergoing a transformation into the Smart concept, like Smartphones or SmartTV. Many initiatives are being developed in the framework of the Smart Cities projects, however, there is a lack of consistent indicators and methodologies to assess, finance, prioritize and implement this kind of projects. Smart Cities projects are classified according to six axes: Government, Mobility, Environment, Economy, People and Living. (Giffinger, 2007). The main objective of this research is to develop an evaluation model in relation to the mobility concept as one of the six axes of the Smart City classification and apply it to the Spanish cities. The evaluation was carried out in the 62 cities that made up in September 2015 the Spanish Network of Smart Cities (RECI- Red Española de Ciudades Inteligentes). This research is part of a larger project about Smart Cities’ evaluation (+CITIES), the project evaluates RECI’s cities in all the axes. The analysis was carried out taking into account sociodemographic indicators such as the size of the city or the municipal budget per inhabitant. The mobility’s evaluation in those cities has been focused in: sustainability mobility urban plans and measures to reduce the number of vehicles. The 62 cities from the RECI have been evaluated according to their degree of progress in several Smart Cities’ initiatives related to smart mobility. The applied methodology has been specifically made for this project. The grading scale has different ranks depending on the deployment level of smart cities’ initiatives. (Author)

  6. SAFARI 2000 Surface Atmospheric Radiative Transfer (SMART), Dry Season 2000

    Data.gov (United States)

    National Aeronautics and Space Administration — ABSTRACT: Surface-sensing Measurements for Radiative Transfer (SMART) and Chemical, Optical, and Microphysical Measurements of In-situ Troposphere (COMMIT) consist...

  7. Making sense of corporate social responsibility : exploring organizational processes and strategies

    NARCIS (Netherlands)

    Heijden, A.J.W. van der; Driessen, P.P.J.; Cramer, J.M.

    2010-01-01

    This article describes and analyzes how company members make sense of Corporate Social Responsibility (CSR). The research question focuses on organizational processes of structuring CSR in practice: How do CSR sensemaking processes in companies work and is it possible to discern process

  8. A Secure, Intelligent, and Smart-Sensing Approach for Industrial System Automation and Transmission over Unsecured Wireless Networks

    Science.gov (United States)

    Shahzad, Aamir; Lee, Malrey; Xiong, Neal Naixue; Jeong, Gisung; Lee, Young-Keun; Choi, Jae-Young; Mahesar, Abdul Wheed; Ahmad, Iftikhar

    2016-01-01

    In Industrial systems, Supervisory control and data acquisition (SCADA) system, the pseudo-transport layer of the distributed network protocol (DNP3) performs the functions of the transport layer and network layer of the open systems interconnection (OSI) model. This study used a simulation design of water pumping system, in-which the network nodes are directly and wirelessly connected with sensors, and are monitored by the main controller, as part of the wireless SCADA system. This study also intends to focus on the security issues inherent in the pseudo-transport layer of the DNP3 protocol. During disassembly and reassembling processes, the pseudo-transport layer keeps track of the bytes sequence. However, no mechanism is available that can verify the message or maintain the integrity of the bytes in the bytes received/transmitted from/to the data link layer or in the send/respond from the main controller/sensors. To properly and sequentially keep track of the bytes, a mechanism is required that can perform verification while bytes are received/transmitted from/to the lower layer of the DNP3 protocol or the send/respond to/from field sensors. For security and byte verification purposes, a mechanism needs to be proposed for the pseudo-transport layer, by employing cryptography algorithm. A dynamic choice security buffer (SB) is designed and employed during the security development. To achieve the desired goals of the proposed study, a pseudo-transport layer stack model is designed using the DNP3 protocol open library and the security is deployed and tested, without changing the original design. PMID:26950129

  9. A Secure, Intelligent, and Smart-Sensing Approach for Industrial System Automation and Transmission over Unsecured Wireless Networks.

    Science.gov (United States)

    Shahzad, Aamir; Lee, Malrey; Xiong, Neal Naixue; Jeong, Gisung; Lee, Young-Keun; Choi, Jae-Young; Mahesar, Abdul Wheed; Ahmad, Iftikhar

    2016-03-03

    In Industrial systems, Supervisory control and data acquisition (SCADA) system, the pseudo-transport layer of the distributed network protocol (DNP3) performs the functions of the transport layer and network layer of the open systems interconnection (OSI) model. This study used a simulation design of water pumping system, in-which the network nodes are directly and wirelessly connected with sensors, and are monitored by the main controller, as part of the wireless SCADA system. This study also intends to focus on the security issues inherent in the pseudo-transport layer of the DNP3 protocol. During disassembly and reassembling processes, the pseudo-transport layer keeps track of the bytes sequence. However, no mechanism is available that can verify the message or maintain the integrity of the bytes in the bytes received/transmitted from/to the data link layer or in the send/respond from the main controller/sensors. To properly and sequentially keep track of the bytes, a mechanism is required that can perform verification while bytes are received/transmitted from/to the lower layer of the DNP3 protocol or the send/respond to/from field sensors. For security and byte verification purposes, a mechanism needs to be proposed for the pseudo-transport layer, by employing cryptography algorithm. A dynamic choice security buffer (SB) is designed and employed during the security development. To achieve the desired goals of the proposed study, a pseudo-transport layer stack model is designed using the DNP3 protocol open library and the security is deployed and tested, without changing the original design.

  10. A Secure, Intelligent, and Smart-Sensing Approach for Industrial System Automation and Transmission over Unsecured Wireless Networks

    Directory of Open Access Journals (Sweden)

    Aamir Shahzad

    2016-03-01

    Full Text Available In Industrial systems, Supervisory control and data acquisition (SCADA system, the pseudo-transport layer of the distributed network protocol (DNP3 performs the functions of the transport layer and network layer of the open systems interconnection (OSI model. This study used a simulation design of water pumping system, in-which the network nodes are directly and wirelessly connected with sensors, and are monitored by the main controller, as part of the wireless SCADA system. This study also intends to focus on the security issues inherent in the pseudo-transport layer of the DNP3 protocol. During disassembly and reassembling processes, the pseudo-transport layer keeps track of the bytes sequence. However, no mechanism is available that can verify the message or maintain the integrity of the bytes in the bytes received/transmitted from/to the data link layer or in the send/respond from the main controller/sensors. To properly and sequentially keep track of the bytes, a mechanism is required that can perform verification while bytes are received/transmitted from/to the lower layer of the DNP3 protocol or the send/respond to/from field sensors. For security and byte verification purposes, a mechanism needs to be proposed for the pseudo-transport layer, by employing cryptography algorithm. A dynamic choice security buffer (SB is designed and employed during the security development. To achieve the desired goals of the proposed study, a pseudo-transport layer stack model is designed using the DNP3 protocol open library and the security is deployed and tested, without changing the original design.

  11. A Parallel Processing Algorithm for Remote Sensing Classification

    Science.gov (United States)

    Gualtieri, J. Anthony

    2005-01-01

    A current thread in parallel computation is the use of cluster computers created by networking a few to thousands of commodity general-purpose workstation-level commuters using the Linux operating system. For example on the Medusa cluster at NASA/GSFC, this provides for super computing performance, 130 G(sub flops) (Linpack Benchmark) at moderate cost, $370K. However, to be useful for scientific computing in the area of Earth science, issues of ease of programming, access to existing scientific libraries, and portability of existing code need to be considered. In this paper, I address these issues in the context of tools for rendering earth science remote sensing data into useful products. In particular, I focus on a problem that can be decomposed into a set of independent tasks, which on a serial computer would be performed sequentially, but with a cluster computer can be performed in parallel, giving an obvious speedup. To make the ideas concrete, I consider the problem of classifying hyperspectral imagery where some ground truth is available to train the classifier. In particular I will use the Support Vector Machine (SVM) approach as applied to hyperspectral imagery. The approach will be to introduce notions about parallel computation and then to restrict the development to the SVM problem. Pseudocode (an outline of the computation) will be described and then details specific to the implementation will be given. Then timing results will be reported to show what speedups are possible using parallel computation. The paper will close with a discussion of the results.

  12. Recent advances in remote sensing and geoinformation processing for land degradation assessment

    CERN Document Server

    Roeder, Achim

    2009-01-01

    Acknowledgements Contributors Achim Röder & Joachim Hill, Remote sensing and geoinformation processing in land degradation assessment-an introduction Part 1 Setting the scene: principles in remote sensing and spatial scene modelling for land degradation assessmentEric F. Lambin, Helmut Geist, James F. Reynolds & D. Mark Stafford-Smith, Coupled human-environment system approaches to desertification: Linking people to pixels Susan L. Ustin, Alacia Palacios-Orueta, Michael L. Whiting, Stéphane Jacquemoud & Lin Li, Remote sensing based assessm

  13. Intelligent Smart Cloud Computing for Smart Service

    Science.gov (United States)

    Song, Su-Mi; Yoon, Yong-Ik

    The cloud computing technology causes much attention in IT field. The developments using this technology have done actively. The cloud computing is more evolved than the existing offer. So, the current cloud computing only has a process that responds user requirements when users demand their needs. For intelligently adapting the needs, this paper suggests a intelligent smart cloud model that is based on 4S/3R. This model can handle intelligently to meet users needs through collecting user's behaviors, prospecting, building, delivering, and rendering steps. It is because users have always mobile devices including smart phones so that is collecting user's behavior by sensors mounted on the devices. The proposed service model using intelligent smart cloud computing will show the personalized and customized services to be possible in various fields.

  14. Smart houses for a smart grid

    Energy Technology Data Exchange (ETDEWEB)

    Kok, J.K.; Warmer, C.J. [ECN Efficiency and Infrastructure, Petten (Netherlands); Karnouskos, S.; Weidlich, A. [SAP Research, Karlsruhe Institute of Technology, (Germany); Nestle, D.; Strauss, P. [The Institut fuer Solare Energieversorgungstechnik ISET, University of Kassel, Kassel (Germany); Dimeas, A.; Hatziargyriou, N. [Institute Computers Communications Systems ICCS, National Technical University of Athens NTUA, Athens (Greece); Buchholz, B.; Drenkard, S. [MVV Energie, Berlin (Germany); Lioliou, V. [Public Power Corporation PPC, Athens (Greece)

    2009-08-15

    Innovative technologies and concepts will emerge as we move towards a more dynamic, service-based, market-driven infrastructure, where energy efficiency and savings can be facilitated by interactive distribution networks. A new generation of fully interactive Information and Communication Technologies (ICT) infrastructure has to be developed to support the optimal exploitation of the changing, complex business processes and to enable the efficient functioning of the deregulated energy market for the benefit of citizens and businesses. The architecture of such distributed system landscapes must be designed and validated, standards need to be created and widely supported, and comprehensive, reliable IT applications will need to be implemented. The collaboration between a smart house and a smart grid is a promising approach which, with the help of ICT can fully unleash the capabilities of the smart electricity network.

  15. Crop status sensing system by multi-spectral imaging sensor, 1: Image processing and paddy field sensing

    International Nuclear Information System (INIS)

    Ishii, K.; Sugiura, R.; Fukagawa, T.; Noguchi, N.; Shibata, Y.

    2006-01-01

    The objective of the study is to construct a sensing system for precision farming. A Multi-Spectral Imaging Sensor (MSIS), which can obtain three images (G. R and NIR) simultaneously, was used for detecting growth status of plants. The sensor was mounted on an unmanned helicopter. An image processing method for acquiring information of crop status with high accuracy was developed. Crop parameters that were measured include SPAD, leaf height, and stems number. Both direct seeding variety and transplant variety of paddy rice were adopted in the research. The result of a field test showed that crop status of both varieties could be detected with sufficient accuracy to apply to precision farming

  16. Recovery of Fermented Spinach (Amaranthus sp. Concentrate Through Ultrafiltration Membrane Process as Source of Folic Acid for Smart Food Formula

    Directory of Open Access Journals (Sweden)

    Aspiyanto Aspiyanto

    2017-11-01

    Full Text Available Fermentation process on spinach (Amaranthus sp. by Kombucha culture was done as an effort to recover naturally folic acid as bioactive components to increase smartness. The experimental activity was done by means of UF membrane (100,000 MWCO fitted in Stirred Ultrafiltration Cell (SUFC at stirrer rotation speed 200 and 400 rpm, room temperature, pressure 20 and 40 Psi for 30 min. Result of experimental activity showed that based on both selectivity and recovery of folic acid, process optimization of UF was reached at stirrer rotation speed 200 rpm and pressure 40 Psi. In the optimum condition, SUFC technique was able to recover folic acid in retentate 67.75% and in permeate 97.27% (63.19 µg/mL. Identification of monomer in permeate from the optimum process treatment was find out folic acid monomer with molecular weight (MW 441.39 and relative intensity 93% at mass spectra T2.32 between m/z 257–304 and glutamic acids monomer with MW 148.57 and relative intensity 0.22% at mass spectra T2.82 between m/z 415–470. Other dominant monomer were folic acid fraction.

  17. Wavelet-Based Processing for Fiber Optic Sensing Systems

    Science.gov (United States)

    Hamory, Philip J. (Inventor); Parker, Allen R., Jr. (Inventor)

    2016-01-01

    The present invention is an improved method of processing conglomerate data. The method employs a Triband Wavelet Transform that decomposes and decimates the conglomerate signal to obtain a final result. The invention may be employed to improve performance of Optical Frequency Domain Reflectometry systems.

  18. Smart Money

    DEFF Research Database (Denmark)

    Avital, Michel; Hedman, Jonas; Albinsson, Lars

    2017-01-01

    transaction costs by providing seamless real-time payments. In addition, digital legal tender that is based on blockchain technology can provide a foundation for customizable “smart money” which can be used to manage the appropriation of money and its use. In essence, the smart money is a customizable value...

  19. Smart Kundassery

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education. Smart Kundassery. Articles written in Resonance – Journal of Science Education. Volume 8 Issue 1 January 2003 pp 4-14 General Article. On the Glitter of a Meteor · Smart Kundassery · More Details Fulltext PDF ...

  20. SMART product innovation

    DEFF Research Database (Denmark)

    Cramer-Petersen, Claus L.; Ahmed-Kristensen, Saeema; Li, Xuemeng

    2016-01-01

    Among the inspirations for the SMART process is “design to customer value,” where products are modified based on a thorough understanding of customers that allows product developers to eliminate features that do not affect customer satisfaction while including only the elements and functionality...... that customers really appreciate. The SMART process includes methods to understand product value for the customer and the user; analyse the cost of components and processes; combine customer value and cost reduction potentials into feasible, high-value concepts; and generate prototypes that can be tested...

  1. Smart Cities for Smart Children

    DEFF Research Database (Denmark)

    Rehm, Matthias; Jensen, Martin Lynge; Wøldike, Niels Peter

    This position paper presents the concept of smart cities for smart children before highlighting three concrete projects we are currently running in order to investigate different aspects of the underlying concept like social-relational interaction and situated and experiential learning....

  2. Smart City and Smart Tourism: A Case of Dubai

    Directory of Open Access Journals (Sweden)

    M. Sajid Khan

    2017-12-01

    Full Text Available Over the past decade, the advent of new technology has brought about the emergence of smart cities aiming to provide their stakeholders with technology-based solutions that are effective and efficient. Insofar as the objective of smart cities is to improve outcomes that are connected to people, systems and processes of businesses, government and other public- and private-sector entities, its main goal is to improve the quality of life of all residents. Accordingly, smart tourism has emerged over the past few years as a subset of the smart city concept, aiming to provide tourists with solutions that address specific travel related needs. Dubai is an emerging tourism destination that has implemented smart city and smart tourism platforms to engage various stakeholders. The objective of this study is to identify best practices related to Dubai’s smart city and smart tourism. In so doing, Dubai’s mission and vision along with key dimensions and pillars are identified in relation to the advancements in the literature while highlighting key resources and challenges. A Smart Tourism Dynamic Responsive System (STDRS framework is proposed while suggesting how Dubai may able to enhance users’ involvement and their overall experience.

  3. Machine Vision and Advanced Image Processing in Remote Sensing

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    This paper describes the multivariate alteration detection (MAD) transformation which is based on the established canonical correlation analysis. It also proposes post-processing of the change detected by the MAD variates by means of maximum autocorrelation factor (MAF) analysis. As opposed to most......, and to the application of radiometric and atmospheric correction schemes that are linear or affine in the gray numbers of each image band. Other multivariate change detection schemes described are principal component type analysis of simple difference images. A case study with Landsat TM data using simple linear...... stretching and masking of the change images shows the usefulness of the new MAD and MAF/MAD change detection schemes. A simple simulation of a no-change situation shows the power of the MAD and MAF/MAD transformations...

  4. Glucose Sensing

    CERN Document Server

    Geddes, Chris D

    2006-01-01

    Topics in Fluorescence Spectroscopy, Glucose Sensing is the eleventh volume in the popular series Topics in Fluorescence Spectroscopy, edited by Drs. Chris D. Geddes and Joseph R. Lakowicz. This volume incorporates authoritative analytical fluorescence-based glucose sensing reviews specialized enough to be attractive to professional researchers, yet also appealing to the wider audience of scientists in related disciplines of fluorescence. Glucose Sensing is an essential reference for any lab working in the analytical fluorescence glucose sensing field. All academics, bench scientists, and industry professionals wishing to take advantage of the latest and greatest in the continuously emerging field of glucose sensing, and diabetes care & management, will find this volume an invaluable resource. Topics in Fluorescence Spectroscopy Volume 11, Glucose Sensing Chapters include: Implantable Sensors for Interstitial Fluid Smart Tattoo Glucose Sensors Optical Enzyme-based Glucose Biosensors Plasmonic Glucose Sens...

  5. Smart antennas: state of the art

    OpenAIRE

    Boche, Holger; Bourdoux, André; Rodríguez Fonollosa, Javier; Kaiser, Thomas; Molisch, Andreas F.; Utschick, Wolfgang

    2006-01-01

    Aim of this contribution is to illustrate the state of the art of smart antenna research from several perspectives. The bow is drawn from transmitter issues via channel measurements and modeling, receiver signal processing, network aspects, technological challenges towards first smart antenna applications and current status of standardization. Moreover, some future prospects of different disciplines in smart antenna research are given. Peer Reviewed

  6. A new type of smart basalt fiber-reinforced polymer bars as both reinforcements and sensors for civil engineering application

    International Nuclear Information System (INIS)

    Tang, Yongsheng; Wu, Zhishen; Yang, Caiqian; Wu, Gang; Shen, Sheng

    2010-01-01

    In this paper, a new type of smart basalt fiber-reinforced polymer (BFRP) bar is developed and their sensing performance is investigated by using the Brillouin scattering-based distributed fiber optic sensing technique. The industrial manufacturing process is first addressed, followed by an experimental study on the strain, temperature and fundamental mechanical properties of the BFRP bars. The results confirm the superior sensing properties, in particular the measuring accuracy, repeatability and linearity through comparing with bare optical fibers. Results on the mechanical properties show stable elastic modulus and high ultimate strength. Therefore, the smart BFRP bar has potential applications for long-term structural health monitoring (SHM) as embedded sensors as well as strengthening and upgrading structures. Moreover the coefficient of thermal expansion for smart BFRP bars is similar to the value for concrete

  7. Data privacy for the smart grid

    CERN Document Server

    Herold, Rebecca

    2015-01-01

    The Smart Grid and PrivacyWhat Is the Smart Grid? Changes from Traditional Energy Delivery Smart Grid Possibilities Business Model Transformations Emerging Privacy Risks The Need for Privacy PoliciesPrivacy Laws, Regulations, and Standards Privacy-Enhancing Technologies New Privacy Challenges IOT Big Data What Is the Smart Grid?Market and Regulatory OverviewTraditional Electricity Business SectorThe Electricity Open Market Classifications of Utilities Rate-Making ProcessesElectricity Consumer

  8. FRP confined smart concrete/mortar

    Science.gov (United States)

    Xiao, Y.; Zhu, P. S.; Choi, K. G.; Wu, Y. T.; Huang, Z. Y.; Shan, B.

    2006-03-01

    In this study, fiber reinforced polymer (FRP) confined smart concrete/mortar sensors were invented and validated for significantly improved measurement range. Several trial mixes were made using cement mortar and micron-phase graphite powders at different mix proportions. Compressive loading tests were conducted on smart mortar cylinder specimens with or without FRP confinement. Two-probe method was used to detect the electrical resistance of the smart cement mortar specimens. Strong correlation was recognized between the stress and electric resistance of the smart mortar. The test results indicated that the FRP wrapping could significantly enlarge the range of such self-sensing property as a consequence of confinement.

  9. Picric acid sensing and capture by a sterically encumbered azo ...

    Indian Academy of Sciences (India)

    Dhananjayan Kaleeswaran

    2018-01-25

    Jan 25, 2018 ... ion mobility spectroscopy (IMS), colorimetry, quartz crystal microbalance (QCM), surface enhanced ..... Ion mobility spectrometers in national defense Anal. Chem. 76 390A; (d) Jiang Y, Zhao H, Zhu N, Lin ... diphenyl maleimides: Multi-functional smart fluores- cent materials for data process and sensing for ...

  10. Danish Act on Processing of Personal Data, in a Smart Cities Research Perspective

    DEFF Research Database (Denmark)

    Tureczek, Alexander Martin

    The Danish act on processing of personal data influences what data can be processed for. Data has been collected with consent from the data subject for a specific purpose. Any other use of the data violates the purpose and requires new consent from each data subject. But the law does include some...

  11. Fast vision through frameless event-based sensing and convolutional processing: application to texture recognition.

    Science.gov (United States)

    Perez-Carrasco, Jose Antonio; Acha, Begona; Serrano, Carmen; Camunas-Mesa, Luis; Serrano-Gotarredona, Teresa; Linares-Barranco, Bernabe

    2010-04-01

    Address-event representation (AER) is an emergent hardware technology which shows a high potential for providing in the near future a solid technological substrate for emulating brain-like processing structures. When used for vision, AER sensors and processors are not restricted to capturing and processing still image frames, as in commercial frame-based video technology, but sense and process visual information in a pixel-level event-based frameless manner. As a result, vision processing is practically simultaneous to vision sensing, since there is no need to wait for sensing full frames. Also, only meaningful information is sensed, communicated, and processed. Of special interest for brain-like vision processing are some already reported AER convolutional chips, which have revealed a very high computational throughput as well as the possibility of assembling large convolutional neural networks in a modular fashion. It is expected that in a near future we may witness the appearance of large scale convolutional neural networks with hundreds or thousands of individual modules. In the meantime, some research is needed to investigate how to assemble and configure such large scale convolutional networks for specific applications. In this paper, we analyze AER spiking convolutional neural networks for texture recognition hardware applications. Based on the performance figures of already available individual AER convolution chips, we emulate large scale networks using a custom made event-based behavioral simulator. We have developed a new event-based processing architecture that emulates with AER hardware Manjunath's frame-based feature recognition software algorithm, and have analyzed its performance using our behavioral simulator. Recognition rate performance is not degraded. However, regarding speed, we show that recognition can be achieved before an equivalent frame is fully sensed and transmitted.

  12. Smart Low-Cost Electronic Module for Simultaneous Sensor and Process Faults Moni Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The detection and isolation of air vehicle process failures is difficult because air vehicle dynamics are nonlinear and the vehicle has many important and...

  13. Smart Low-Cost Electronic Module for Simultaneous Sensor and Process Faults Moni, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — The detection and isolation of air vehicle process failures is difficult because air vehicle dynamics are nonlinear and the vehicle has many important and...

  14. Efficient smart CMOS camera based on FPGAs oriented to embedded image processing.

    Science.gov (United States)

    Bravo, Ignacio; Baliñas, Javier; Gardel, Alfredo; Lázaro, José L; Espinosa, Felipe; García, Jorge

    2011-01-01

    This article describes an image processing system based on an intelligent ad-hoc camera, whose two principle elements are a high speed 1.2 megapixel Complementary Metal Oxide Semiconductor (CMOS) sensor and a Field Programmable Gate Array (FPGA). The latter is used to control the various sensor parameter configurations and, where desired, to receive and process the images captured by the CMOS sensor. The flexibility and versatility offered by the new FPGA families makes it possible to incorporate microprocessors into these reconfigurable devices, and these are normally used for highly sequential tasks unsuitable for parallelization in hardware. For the present study, we used a Xilinx XC4VFX12 FPGA, which contains an internal Power PC (PPC) microprocessor. In turn, this contains a standalone system which manages the FPGA image processing hardware and endows the system with multiple software options for processing the images captured by the CMOS sensor. The system also incorporates an Ethernet channel for sending processed and unprocessed images from the FPGA to a remote node. Consequently, it is possible to visualize and configure system operation and captured and/or processed images remotely.

  15. Efficient Smart CMOS Camera Based on FPGAs Oriented to Embedded Image Processing

    Directory of Open Access Journals (Sweden)

    Ignacio Bravo

    2011-02-01

    Full Text Available This article describes an image processing system based on an intelligent ad-hoc camera, whose two principle elements are a high speed 1.2 megapixel Complementary Metal Oxide Semiconductor (CMOS sensor and a Field Programmable Gate Array (FPGA. The latter is used to control the various sensor parameter configurations and, where desired, to receive and process the images captured by the CMOS sensor. The flexibility and versatility offered by the new FPGA families makes it possible to incorporate microprocessors into these reconfigurable devices, and these are normally used for highly sequential tasks unsuitable for parallelization in hardware. For the present study, we used a Xilinx XC4VFX12 FPGA, which contains an internal Power PC (PPC microprocessor. In turn, this contains a standalone system which manages the FPGA image processing hardware and endows the system with multiple software options for processing the images captured by the CMOS sensor. The system also incorporates an Ethernet channel for sending processed and unprocessed images from the FPGA to a remote node. Consequently, it is possible to visualize and configure system operation and captured and/or processed images remotely.

  16. Smart biomaterials

    CERN Document Server

    Ebara, Mitsuhiro; Narain, Ravin; Idota, Naokazu; Kim, Young-Jin; Hoffman, John M; Uto, Koichiro; Aoyagi, Takao

    2014-01-01

    This book surveys smart biomaterials, exploring the properties, mechanics and characterization of hydrogels, particles, assemblies, surfaces, fibers and conjugates. Reviews applications such as drug delivery, tissue engineering, bioseparation and more.

  17. Dubai: A Pioneer Smart City in the Arabian Territory

    Science.gov (United States)

    Virtudes, Ana; Abbara, Arwa; Sá, João

    2017-10-01

    Nowadays, one of the main issues that the cities are facing is related with how they are dealing with the challenges toward smartness, including infrastructures, economic, social and environmental aspects. In this sense, some of the current challenges on the global scale, trying to find solutions regarding urban societies, are based on the concept of “smart city”. Therefore, is clear that new ideas regarding the cities improvements, which are on the top of global agenda, could be found at the concept of “smart city”. As the literature reveals, this is a topic reason among the researchers, which is in a continuous development, in particular regarding societies, countries or regions where it is emerging, such as in the Arabian territories. Dubai, a city in the United Arab Emirates, is an example where in a short period of time, after the oil discovery in the decade of 1970, one small and badly known urban settlement became a pioneer reference in terms of smart cities requirements. Thus, this article presents background information about smart cities, their assets and key pillars, their smart infrastructures and features in cultural, social and environmental terms. The main goals are based on a theoretical approach, developed in order to get more details about smart cities, regarding the features of the Arabian territories. It argues around the case of Dubai, as a pioneer smart city in the Arab world. Among of the main conclusions, there is the idea that the urban transformation process in contemporary societies to secure the smartness, should apply to the use of ICT / information and communication technologies. This use will increase the efficiency concerns to the natural resources, and provide a high quality of life for citizens. The example of Dubai has shown that the decision-makers have built each sector and part of the city in a solid performance, in order to achieve the smart sustainability concept. This city is nowadays a reference on this matter, not

  18. Progress in Analysis to Remote Sensed Thermal Abnormity with Fault Activity and Seismogenic Process

    Directory of Open Access Journals (Sweden)

    WU Lixin

    2017-10-01

    Full Text Available Research to the remote sensed thermal abnormity with fault activity and seismogenic process is a vital topic of the Earth observation and remote sensing application. It is presented that a systematic review on the international researches on the topic during the past 30 years, in the respects of remote sensing data applications, anomaly analysis methods, and mechanism understanding. Firstly, the outlines of remote sensing data applications are given including infrared brightness temperature, microwave brightness temperature, outgoing longwave radiation, and assimilated data from multiple earth observations. Secondly, three development phases are summarized as qualitative analysis based on visual interpretation, quantitative analysis based on image processing, and multi-parameter spatio-temporal correlation analysis. Thirdly, the theoretical hypotheses presented for the mechanism understanding are introduced including earth degassing, stress-induced heat, crustal rock battery conversion, latent heat release due to radon decay as well as multi-spheres coupling effect. Finally, three key directions of future research on this topic are proposed:anomaly recognizing by remote sensing monitoring and data analysis for typical tectonic activity areas; anomaly mechanism understanding based on earthquake-related earth system responses; spatio-temporal correlation analysis of air-based, space-based and ground-based stereoscopic observations.

  19. Editorial: What is Smart?

    NARCIS (Netherlands)

    Luiijf, H.A.M.; Hämmerli, B.M.

    2014-01-01

    When discussing Smart Cities, Smart Grid, Smart Mobility and Smart everything, we have to reflect what this means in terms of investment and return. Which options for surveillance and Big Data applications are created? What is really desirable?

  20. Alcohol sensing of tin oxide thin film prepared by sol–gel process

    Indian Academy of Sciences (India)

    Unknown

    Abstract. The present paper describes the alcohol sensing characteristics of spin coated SnO2 thin film deposited by using sol–gel process. The sensitivity of the film was measured at different temperatures and different concentrations of alcohol at ppm level. Alcohol detection result shows peak sensitivity at 623 K. The.

  1. Less Smart More City

    Directory of Open Access Journals (Sweden)

    Rocco Papa

    2015-07-01

    Full Text Available Smart is an expression used in recent years in science, and it refers to someone or something that shows a lively intelligence, with a quick learning curve and a fast response to external stimuli. The present scenario is dominated by the accelerated technological development that involves every aspect of life, enhancing the everyday tools through the use of information and digital processing: everything is smart, even cities. But when you pair the term smart to a complex organism such as the city the significance of the two together is open to a variety of interpretations, as shown by the vast and varied landscape of definitions that have occurred in recent years. Our contribution presents the results of research aimed at analyzing and interpreting this fragmented scene mainly, but not exclusively, through lexical analysis, applied to a textual corpus of 156 definitions of smart city. In particular, the study identified the main groups of stakeholders that have taken part in the debate, and investigated the differences and convergences that can be detected: Academic, Institutional, and Business worlds. It is undeniable that the term smart has been a veritable media vehicle that, on the one hand brought to the center of the discussion the issue of the city, of increasing strategic importance for the major challenges that humanity is going to face,  and on the other has been a fertile ground on which to pour the interests of different groups and individuals. In a nutshell we can say that from the analysis the different approaches that each group has used and supported emerge clearly and another, alarming, consideration occurs: of the smart part of “Smart City” we clearly grasp the tools useful to the each group of stakeholders, and of the city part, as a collective aspiration, there is often little or nothing.

  2. Energy Center Structure Optimization by using Smart Technologies in Process Control System

    Science.gov (United States)

    Shilkina, Svetlana V.

    2018-03-01

    The article deals with practical application of fuzzy logic methods in process control systems. A control object - agroindustrial greenhouse complex, which includes its own energy center - is considered. The paper analyzes object power supply options taking into account connection to external power grids and/or installation of own power generating equipment with various layouts. The main problem of a greenhouse facility basic process is extremely uneven power consumption, which forces to purchase redundant generating equipment idling most of the time, which quite negatively affects project profitability. Energy center structure optimization is largely based on solving the object process control system construction issue. To cut investor’s costs it was proposed to optimize power consumption by building an energy-saving production control system based on a fuzzy logic controller. The developed algorithm of automated process control system functioning ensured more even electric and thermal energy consumption, allowed to propose construction of the object energy center with a smaller number of units due to their more even utilization. As a result, it is shown how practical use of microclimate parameters fuzzy control system during object functioning leads to optimization of agroindustrial complex energy facility structure, which contributes to a significant reduction in object construction and operation costs.

  3. Parallel processing of remotely sensed data: Application to the ATSR-2 instrument

    Science.gov (United States)

    Simpson, J.; McIntire, T.; Berg, J.; Tsou, Y.

    2007-01-01

    Massively parallel computational paradigms can mitigate many issues associated with the analysis of large and complex remotely sensed data sets. Recently, the Beowulf cluster has emerged as the most attractive, massively parallel architecture due to its low cost and high performance. Whereas most Beowulf designs have emphasized numerical modeling applications, the Parallel Image Processing Environment (PIPE) specifically addresses the unique requirements of remote sensing applications. Automated, parallelization of user-defined analyses is fully supported. A neural network application, applied to Along Track Scanning Radiometer-2 (ATSR-2) data shows the advantages and performance characteristics of PIPE.

  4. Scalable Stream Processing with Quality of Service for Smart City Crowdsensing Applications

    Directory of Open Access Journals (Sweden)

    Paolo Bellavista

    2013-12-01

    Full Text Available Crowdsensing is emerging as a powerful paradigm capable of leveraging the collective, though imprecise, monitoring capabilities of common people carrying smartphones or other personal devices, which can effectively become real-time mobile sensors, collecting information about the physical places they live in. This unprecedented amount of information, considered collectively, offers new valuable opportunities to understand more thoroughly the environment in which we live and, more importantly, gives the chance to use this deeper knowledge to act and improve, in a virtuous loop, the environment itself. However, managing this process is a hard technical challenge, spanning several socio-technical issues: here, we focus on the related quality, reliability, and scalability trade-offs by proposing an architecture for crowdsensing platforms that dynamically self-configure and self-adapt depending on application-specific quality requirements. In the context of this general architecture, the paper will specifically focus on the Quasit distributed stream processing middleware, and show how Quasit can be used to process and analyze crowdsensing-generated data flows with differentiated quality requirements in a highly scalable and reliable way.

  5. Photonic sensing in highly concentrated biotechnical processes by photon density wave spectroscopy

    Science.gov (United States)

    Hass, Roland; Sandmann, Michael; Reich, Oliver

    2017-04-01

    Photon Density Wave (PDW) spectroscopy is introduced as a new approach for photonic sensing in highly concentrated biotechnical processes. It independently quantifies the absorption and reduced scattering coefficient calibration-free and as a function of time, thus describing the optical properties in the vis/NIR range of the biomaterial during their processing. As examples of industrial relevance, enzymatic milk coagulation, beer mashing, and algae cultivation in photo bioreactors are discussed.

  6. Research on distributed optical fiber sensing data processing method based on LabVIEW

    Science.gov (United States)

    Li, Zhonghu; Yang, Meifang; Wang, Luling; Wang, Jinming; Yan, Junhong; Zuo, Jing

    2018-01-01

    The pipeline leak detection and leak location problem have gotten extensive attention in the industry. In this paper, the distributed optical fiber sensing system is designed based on the heat supply pipeline. The data processing method of distributed optical fiber sensing based on LabVIEW is studied emphatically. The hardware system includes laser, sensing optical fiber, wavelength division multiplexer, photoelectric detector, data acquisition card and computer etc. The software system is developed using LabVIEW. The software system adopts wavelet denoising method to deal with the temperature information, which improved the SNR. By extracting the characteristic value of the fiber temperature information, the system can realize the functions of temperature measurement, leak location and measurement signal storage and inquiry etc. Compared with traditional negative pressure wave method or acoustic signal method, the distributed optical fiber temperature measuring system can measure several temperatures in one measurement and locate the leak point accurately. It has a broad application prospect.

  7. Mathematic modeling of the Earth's surface and the process of remote sensing

    Science.gov (United States)

    Balter, B. M.

    1979-01-01

    It is shown that real data from remote sensing of the Earth from outer space are not best suited to the search for optimal procedures with which to process such data. To work out the procedures, it was proposed that data synthesized with the help of mathematical modeling be used. A criterion for simularity to reality was formulated. The basic principles for constructing methods for modeling the data from remote sensing are recommended. A concrete method is formulated for modeling a complete cycle of radiation transformations in remote sensing. A computer program is described which realizes the proposed method. Some results from calculations are presented which show that the method satisfies the requirements imposed on it.

  8. INTERACTIVE CHANGE DETECTION USING HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON ACTIVE LEARNING WITH GAUSSIAN PROCESSES

    Directory of Open Access Journals (Sweden)

    H. Ru

    2016-06-01

    Full Text Available Although there have been many studies for change detection, the effective and efficient use of high resolution remote sensing images is still a problem. Conventional supervised methods need lots of annotations to classify the land cover categories and detect their changes. Besides, the training set in supervised methods often has lots of redundant samples without any essential information. In this study, we present a method for interactive change detection using high resolution remote sensing images with active learning to overcome the shortages of existing remote sensing image change detection techniques. In our method, there is no annotation of actual land cover category at the beginning. First, we find a certain number of the most representative objects in unsupervised way. Then, we can detect the change areas from multi-temporal high resolution remote sensing images by active learning with Gaussian processes in an interactive way gradually until the detection results do not change notably. The artificial labelling can be reduced substantially, and a desirable detection result can be obtained in a few iterations. The experiments on Geo-Eye1 and WorldView2 remote sensing images demonstrate the effectiveness and efficiency of our proposed method.

  9. Freeze-drying process design by manometric temperature measurement: design of a smart freeze-dryer.

    Science.gov (United States)

    Tang, Xiaolin Charlie; Nail, Steven L; Pikal, Michael J

    2005-04-01

    To develop a procedure based on manometric temperature measurement (MTM) and an expert system for good practices in freeze drying that will allow development of an optimized freeze-drying process during a single laboratory freeze-drying experiment. Freeze drying was performed with a FTS Dura-Stop/Dura-Top freeze dryer with the manometric temperature measurement software installed. Five percent solutions of glycine, sucrose, or mannitol with 2 ml to 4 ml fill in 5 ml vials were used, with all vials loaded on one shelf. Details of freezing, optimization of chamber pressure, target product temperature, and some aspects of secondary drying are determined by the expert system algorithms. MTM measurements were used to select the optimum shelf temperature, to determine drying end points, and to evaluate residual moisture content in real-time. MTM measurements were made at 1 hour or half-hour intervals during primary drying and secondary drying, with a data collection frequency of 4 points per second. The improved MTM equations were fit to pressure-time data generated by the MTM procedure using Microcal Origin software to obtain product temperature and dry layer resistance. Using heat and mass transfer theory, the MTM results were used to evaluate mass and heat transfer rates and to estimate the shelf temperature required to maintain the target product temperature. MTM product dry layer resistance is accurate until about two-thirds of total primary drying time is over, and the MTM product temperature is normally accurate almost to the end of primary drying provided that effective thermal shielding is used in the freeze-drying process. The primary drying times can be accurately estimated from mass transfer rates calculated very early in the run, and we find the target product temperature can be achieved and maintained with only a few adjustments of shelf temperature. The freeze-dryer overload conditions can be estimated by calculation of heat/mass flow at the target product

  10. Metacognitive components in smart learning environment

    Science.gov (United States)

    Sumadyo, M.; Santoso, H. B.; Sensuse, D. I.

    2018-03-01

    Metacognitive ability in digital-based learning process helps students in achieving learning goals. So that digital-based learning environment should make the metacognitive component as a facility that must be equipped. Smart Learning Environment is the concept of a learning environment that certainly has more advanced components than just a digital learning environment. This study examines the metacognitive component of the smart learning environment to support the learning process. A review of the metacognitive literature was conducted to examine the components involved in metacognitive learning strategies. Review is also conducted on the results of study smart learning environment, ranging from design to context in building smart learning. Metacognitive learning strategies certainly require the support of adaptable, responsive and personalize learning environments in accordance with the principles of smart learning. The current study proposed the role of metacognitive component in smart learning environment, which is useful as the basis of research in building environment in smart learning.

  11. Smart value-added fiber-optic modules using spatially multiplexed processing

    Science.gov (United States)

    Riza, Nabeel A.; Azer Reza, Syed

    2007-06-01

    Intelligent fiber-optic value-added modules (VAMs) are proposed using what we believe to be a novel spatially multiplexed processing technique implemented with both reconfigurable and nonreconfigurable predesigned pixels per impinging beam that enables desired optical power split states needed for realizing a two state reconfigurable VAM. The preferred design uses broadband micromirrors such as ones fabricated via optical microelectromechanical systems technology. The basic VAM design uses two broadband micromirror pixels, where each pixel has its specific location and area and only one of these pixels is electrically driven to adjust its small tilt angle. The areas of the pixels are chosen to obtain the desired tap power. A proof-of-concept VAM with 100% digital repeatability is demonstrated using a Texas Instruments Digital Micromirror Device (DMD) where several micromirrors per beam are used to produce the dual-pixel effect. Example tap ratios experimentally implemented at 1550 nm include 10:90, 20:80, 66.66:33.33, 50:50, 30:70, and 25:75. DMD multipixel diffraction limits output port optical losses to 3.2 and 3.6 dB. The proposed VAM can have an impact in both digital electronic and analog RF optically implemented systems.

  12. Smart Environment Program, Smart Way to Smart City

    OpenAIRE

    Tutik Rachmawati; Priska Diah Pertiwi

    2017-01-01

    Bandung City Government is ranked the 3rd in smart city index in Indonesia only within 8 months of smart city application. Considering this achievement, it is necessary to study this fast-tracking success of smart city to enable a lesson learnt for other local governments. Hence, this research aims at evaluating the best practices of smart environment program as one of smart city projects and analyzing the positive transformation being brought. The analysis will be based on three core activit...

  13. Synergistic linkage between remote sensing and biophysical models for estimating plant ecophysiological and ecosystem processes

    International Nuclear Information System (INIS)

    Inoue, Y.; Olioso, A.

    2004-01-01

    Abstract Information on the ecological and physiological status of crops is essential for growth diagnostics and yield prediction. Within-field or between-field spatial information is required, especially with the recent trend toward precision agriculture, which seeks the efficient use of agrochemicals, water, and energy. The study of carbon and nitrogen cycles as well as environmental management on local and regional scales requires assessment of the spatial variability of biophysical and ecophysiological variables, scaling up of which is also needed for scientific and decision-making purposes. Remote sensing has great potential for these applications because it enables wide-area non-destructive, and real-time acquisition of information about ecophysiological conditions of vegetation. With recent advances in sensor technology, a variety of electromagnetic signatures, such as hyperspectral reflectance, thermal-infrared temperature, and microwave backscattering coefficients, can be acquired for both plants and ecosystems using ground-based, airborne, and satellite platforms. Their spatial and temporal resolutions have both recently been improved. This article reviews the state of the art in the remote sensing of plant ecophysiological data, with special emphasis on the synergy between remote sensing signatures and biophysical and ecophysiological process models. Several case studies for the optical, thermal, and microwave domains have demonstrated the potential of this synergistic linkage. Remote sensing and process modeling methods complement each other when combined synergistically. Further research on this approach is needed f or a wide range of ecophysiological and ecosystem studies, as well as for practical crop management

  14. The disruption of the 'sense of self' in schizophrenia: potential links with disturbances of information processing.

    Science.gov (United States)

    Hemsley, D R

    1998-06-01

    It is argued in this paper that the disruption of one aspect of the 'sense of self' in schizophrenia, that relating to the continuity of conscious experience and the organization of action, may be linked to current models of the information-processing disturbance prominent in the disorder. The 'sense of self' in normal persons in part results from the consistent manner in which contextually appropriate stored material operates of sensory input. If, as has been proposed, there is in schizophrenia a disruption in the moment-by-moment integration of these sources of information, then a disturbance in the 'sense of self' is implicit in the cognitive model. A consideration of action identification theory (Vallacher & Wegner, 1987) permits further links to be made, since higher-level action identities are viewed as being practically synonymous with self-defining significance. It is suggested that the information-processing disturbance results in a tendency to low-level action identification and a gradually developing instability in the sense of personal identity.

  15. Geospatial Image Stream Processing: Models, techniques, and applications in remote sensing change detection

    Science.gov (United States)

    Rueda-Velasquez, Carlos Alberto

    Detection of changes in environmental phenomena using remotely sensed data is a major requirement in the Earth sciences, especially in natural disaster related scenarios where real-time detection plays a crucial role in the saving of human lives and the preservation of natural resources. Although various approaches formulated to model multidimensional data can in principle be applied to the inherent complexity of remotely sensed geospatial data, there are still challenging peculiarities that demand a precise characterization in the context of change detection, particularly in scenarios of fast changes. In the same vein, geospatial image streams do not fit appropriately in the standard Data Stream Management System (DSMS) approach because these systems mainly deal with tuple-based streams. Recognizing the necessity for a systematic effort to address the above issues, the work presented in this thesis is a concrete step toward the foundation and construction of an integrated Geospatial Image Stream Processing framework, GISP. First, we present a data and metadata model for remotely sensed image streams. We introduce a precise characterization of images and image streams in the context of remotely sensed geospatial data. On this foundation, we define spatially-aware temporal operators with a consistent semantics for change analysis tasks. We address the change detection problem in settings where multiple image stream sources are available, and thus we introduce an architectural design for the processing of geospatial image streams from multiple sources. With the aim of targeting collaborative scientific environments, we construct a realization of our architecture based on Kepler, a robust and widely used scientific workflow management system, as the underlying computational support; and open data and Web interface standards, as a means to facilitate the interoperability of GISP instances with other processing infrastructures and client applications. We demonstrate our

  16. Design and implementation of a smart card based billing system for ...

    African Journals Online (AJOL)

    A smart card based billing system for petroleum dispenser is just one of the many ways in which smart cards can be employed to make commerce efficient. It incorporates the use of smart card as its legal tender and a smart card reader embedded into the filling station dispenser design. The smart card reader processes the ...

  17. Smart Card

    Directory of Open Access Journals (Sweden)

    Floarea NASTASE

    2006-01-01

    Full Text Available Reforms in electronic business have presented new opportunities to use smart card technology as an enabling tool. The network-centric applications, where resources are located throughout the Internet and access to them is possible from any location, require authenticated access and secured transactions. Smart cards represent an ideal solution: they offers an additional layer of electronic security and information assurance for user authentication, confidentiality, non-repudiation, information integrity, physical access control to facilities, and logical access control to an computer systems.

  18. Towards the Development of a Smart Flying Sensor: Illustration in the Field of Precision Agriculture

    Directory of Open Access Journals (Sweden)

    Andres Hernandez

    2015-07-01

    Full Text Available Sensing is an important element to quantify productivity, product quality and to make decisions. Applications, such as mapping, surveillance, exploration and precision agriculture, require a reliable platform for remote sensing. This paper presents the first steps towards the development of a smart flying sensor based on an unmanned aerial vehicle (UAV. The concept of smart remote sensing is illustrated and its performance tested for the task of mapping the volume of grain inside a trailer during forage harvesting. Novelty lies in: (1 the development of a position-estimation method with time delay compensation based on inertial measurement unit (IMU sensors and image processing; (2 a method to build a 3D map using information obtained from a regular camera; and (3 the design and implementation of a path-following control algorithm using model predictive control (MPC. Experimental results on a lab-scale system validate the effectiveness of the proposed methodology.

  19. Towards the Development of a Smart Flying Sensor: Illustration in the Field of Precision Agriculture.

    Science.gov (United States)

    Hernandez, Andres; Murcia, Harold; Copot, Cosmin; De Keyser, Robin

    2015-07-10

    Sensing is an important element to quantify productivity, product quality and to make decisions. Applications, such as mapping, surveillance, exploration and precision agriculture, require a reliable platform for remote sensing. This paper presents the first steps towards the development of a smart flying sensor based on an unmanned aerial vehicle (UAV). The concept of smart remote sensing is illustrated and its performance tested for the task of mapping the volume of grain inside a trailer during forage harvesting. Novelty lies in: (1) the development of a position-estimation method with time delay compensation based on inertial measurement unit (IMU) sensors and image processing; (2) a method to build a 3D map using information obtained from a regular camera; and (3) the design and implementation of a path-following control algorithm using model predictive control (MPC). Experimental results on a lab-scale system validate the effectiveness of the proposed methodology.

  20. Smart Beta or Smart Alpha

    DEFF Research Database (Denmark)

    Winther, Kenneth Lillelund; Steenstrup, Søren Resen

    2016-01-01

    -documented smart beta risk premiums and still motivate active managers to avoid value traps, too highly priced small caps, defensives, etc. By constructing the equity portfolios of active managers that resemble the most widely used risk premiums, we show that the returns and risk-adjusted returns measures......Smart beta has become the flavor of the decade in the investment world with its low fees, easy access to rewarded risk premiums, and appearance of providing good investment results relative to both traditional passive benchmarks and actively managed funds. Although we consider it well documented...... that smart beta investing probably will do better than passive market capitalization investing over time, we believe many are coming to a conclusion too quickly regarding active managers. Institutional investors are able to guide managers through benchmarks and risk frameworks toward the same well...

  1. Dynamic stepping information process method in mobile bio-sensing computing environments.

    Science.gov (United States)

    Lee, Tae-Gyu; Lee, Seong-Hoon

    2014-01-01

    Recently, the interest toward human longevity free from diseases is being converged as one system frame along with the development of mobile computing environment, diversification of remote medical system and aging society. Such converged system enables implementation of a bioinformatics system created as various supplementary information services by sensing and gathering health conditions and various bio-information of mobile users to set up medical information. The existing bio-information system performs static and identical process without changes after the bio-information process defined at the initial system configuration executes the system. However, such static process indicates ineffective execution in the application of mobile bio-information system performing mobile computing. Especially, an inconvenient duty of having to perform initialization of new definition and execution is accompanied during the process configuration of bio-information system and change of method. This study proposes a dynamic process design and execution method to overcome such ineffective process.

  2. Smart roadside.

    Science.gov (United States)

    2012-01-01

    Smart Roadside is a system envisioned to be deployed at strategic points along commercial vehicle routes to : improve the safety, mobility, and efficiency of truck movement and operations on the roadway. It is a concept : where private- and public-se...

  3. The Hico Image Processing System: A Web-Accessible Hyperspectral Remote Sensing Toolbox

    Science.gov (United States)

    Harris, A. T., III; Goodman, J.; Justice, B.

    2014-12-01

    As the quantity of Earth-observation data increases, the use-case for hosting analytical tools in geospatial data centers becomes increasingly attractive. To address this need, HySpeed Computing and Exelis VIS have developed the HICO Image Processing System, a prototype cloud computing system that provides online, on-demand, scalable remote sensing image processing capabilities. The system provides a mechanism for delivering sophisticated image processing analytics and data visualization tools into the hands of a global user community, who will only need a browser and internet connection to perform analysis. Functionality of the HICO Image Processing System is demonstrated using imagery from the Hyperspectral Imager for the Coastal Ocean (HICO), an imaging spectrometer located on the International Space Station (ISS) that is optimized for acquisition of aquatic targets. Example applications include a collection of coastal remote sensing algorithms that are directed at deriving critical information on water and habitat characteristics of our vulnerable coastal environment. The project leverages the ENVI Services Engine as the framework for all image processing tasks, and can readily accommodate the rapid integration of new algorithms, datasets and processing tools.

  4. Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics

    Directory of Open Access Journals (Sweden)

    Angela Lausch

    2016-12-01

    Full Text Available Anthropogenic stress and disturbance of forest ecosystems (FES has been increasing at all scales from local to global. In rapidly changing environments, in-situ terrestrial FES monitoring approaches have made tremendous progress but they are intensive and often integrate subjective indicators for forest health (FH. Remote sensing (RS bridges the gaps of these limitations, by monitoring indicators of FH on different spatio-temporal scales, and in a cost-effective, rapid, repetitive and objective manner. In this paper, we provide an overview of the definitions of FH, discussing the drivers, processes, stress and adaptation mechanisms of forest plants, and how we can observe FH with RS. We introduce the concept of spectral traits (ST and spectral trait variations (STV in the context of FH monitoring and discuss the prospects, limitations and constraints. Stress, disturbances and resource limitations can cause changes in FES taxonomic, structural and functional diversity; we provide examples how the ST/STV approach can be used for monitoring these FES characteristics. We show that RS based assessments of FH indicators using the ST/STV approach is a competent, affordable, repetitive and objective technique for monitoring. Even though the possibilities for observing the taxonomic diversity of animal species is limited with RS, the taxonomy of forest tree species can be recorded with RS, even though its accuracy is subject to certain constraints. RS has proved successful for monitoring the impacts from stress on structural and functional diversity. In particular, it has proven to be very suitable for recording the short-term dynamics of stress on FH, which cannot be cost-effectively recorded using in-situ methods. This paper gives an overview of the ST/STV approach, whereas the second paper of this series concentrates on discussing in-situ terrestrial monitoring, in-situ RS approaches and RS sensors and techniques for measuring ST/STV for FH.

  5. The Sweet-Home project: audio processing and decision making in smart home to improve well-being and reliance.

    Science.gov (United States)

    Vacher, Michel; Chahuara, Pedro; Lecouteux, Benjamin; Istrate, Dan; Portet, Francois; Joubert, Thierry; Sehili, Mohamed; Meillon, Brigitte; Bonnefond, Nicolas; Fabre, Sébastien; Roux, Camille; Caffiau, Sybille

    2013-01-01

    The Sweet-Home project aims at providing audio-based interaction technology that lets the user have full control over their home environment, at detecting distress situations and at easing the social inclusion of the elderly and frail population. This paper presents an overview of the project focusing on the implemented techniques for speech and sound recognition as context-aware decision making with uncertainty. A user experiment in a smart home demonstrates the interest of this audio-based technology.

  6. Understanding Modern Banking Ledgers through Blockchain Technologies: Future of Transaction Processing and Smart Contracts on the Internet of Money

    OpenAIRE

    Peters, Gareth William; Panayi, Efstathios

    2015-01-01

    In this chapter we provide an overview of the concept of blockchain technology and its potential to disrupt the world of banking through facilitating global money remittance, smart contracts, automated banking ledgers and digital assets. In this regard, we first provide a brief overview of the core aspects of this technology, as well as the second-generation contract-based developments. From there we discuss key issues that must be considered in developing such ledger based technologies in a ...

  7. Exploring potentials of sense-making theory for understanding social processes in public hearing

    DEFF Research Database (Denmark)

    Lyhne, Ivar

    This paper has point of departure in a planning process on energy infrastructure in Denmark and focuses on a particular public hearing meeting characterised by trenchant opposition and distrust to the authorities among the public. It points at the need to understand the interaction between author...... of such a public meeting and the importance of trust and openness in the social processes in a public hearing....... authorities and the public in such planning often characterised by conflict. A sense-making framework is developed based on Karl Weick's theory to investigate how participants at the meeting change their understanding aspects like other actors' opinions and the infrastructure project. Through interviews...

  8. Educating the smart city: Schooling smart citizens through computational urbanism

    OpenAIRE

    Ben Williamson

    2015-01-01

    Coupled with the ‘smart city’, the idea of the ‘smart school’ is emerging in imaginings of the future of education. Various commercial, governmental and civil society organizations now envisage education as a highly coded, software-mediated and data-driven social institution. Such spaces are to be governed through computational processes written in computer code and tracked through big data. In an original analysis of developments from commercial, governmental and civil society sectors, the a...

  9. Online Bridge Crack Monitoring with Smart Film

    Directory of Open Access Journals (Sweden)

    Benniu Zhang

    2013-01-01

    Full Text Available Smart film crack monitoring method, which can be used for detecting initiation, length, width, shape, location, and propagation of cracks on real bridges, is proposed. Firstly, the fabrication of the smart film is developed. Then the feasibility of the method is analyzed and verified by the mechanical sensing character of the smart film under the two conditions of normal strain and crack initiation. Meanwhile, the coupling interference between parallel enameled wires of the smart film is discussed, and then low-frequency detecting signal and the custom communication protocol are used to decrease interference. On this basis, crack monitoring system with smart film is designed, where the collected crack data is sent to the remote monitoring center and the cracks are simulated and recurred. Finally, the monitoring system is applied to six bridges, and the effects are discussed.

  10. Application of remote sensing methods and GIS in erosive process investigations

    Directory of Open Access Journals (Sweden)

    Mustafić Sanja

    2007-01-01

    Full Text Available Modern geomorphologic investigations of condition and change of the intensity of erosive process should be based on application of remote sensing methods which are based on processing of aerial and satellite photographs. Using of these methods is very important because it enables good possibilities for realizing regional relations of the investigated phenomenon, as well as the estimate of spatial and temporal variability of all physical-geographical and anthropogenic factors influencing given process. Realizing process of land erosion, on the whole, is only possible by creating universal data base, as well as by using of appropriate software, more exactly by establishing uniform information system. Geographical information system, as the most effective one, the most complex and the most integral system of information about the space enables unification as well as analytical and synthetically processing of all data.

  11. Smart Sensor Network System For Environment Monitoring

    Directory of Open Access Journals (Sweden)

    Javed Ali Baloch

    2012-07-01

    Full Text Available SSN (Smart Sensor Network systems could be used to monitor buildings with modern infrastructure, plant sites with chemical pollution, horticulture, natural habitat, wastewater management and modern transport system. To sense attributes of phenomena and make decisions on the basis of the sensed value is the primary goal of such systems. In this paper a Smart Spatially aware sensor system is presented. A smart system, which could continuously monitor the network to observe the functionality and trigger, alerts to the base station if a change in the system occurs and provide feedback periodically, on demand or even continuously depending on the nature of the application. The results of the simulation trials presented in this paper exhibit the performance of a Smart Spatially Aware Sensor Networks.

  12. Smart governance for smart city

    Science.gov (United States)

    Mutiara, Dewi; Yuniarti, Siti; Pratama, Bambang

    2018-03-01

    Some of the local government in Indonesia claimed they already created a smart city. Mostly the claim based of IT utilization for their governance. In general, a smart city definition is to describe a developed urban area that creates sustainable economic development and high quality of life by excelling in multiple key; economy, mobility, environment, people, living, and government. For public services, the law guarantees good governance by setting the standard for e-government implicitly including for local government or a city. Based on the arguments, this research tries to test the condition of e-government of the Indonesian city in 34 provinces. The purpose is to map e-government condition by measuring indicators of smart government, which are: transparent governance and open data for the public. This research is departing from public information disclosure law and to correspond with the existence law. By examining government transparency, the output of the research can be used to measure the effectiveness of public information disclosure law and to determine the condition of e-government in local government in which as part of a smart city.

  13. Screen printing of a capacitive cantilever-based motion sensor on fabric using a novel sacrificial layer process for smart fabric applications

    International Nuclear Information System (INIS)

    Wei, Yang; Torah, Russel; Yang, Kai; Beeby, Steve; Tudor, John

    2013-01-01

    Free-standing cantilevers have been fabricated by screen printing sacrificial and structural layers onto a standard polyester cotton fabric. By printing additional conductive layers, a complete capacitive motion sensor on fabric using only screen printing has been fabricated. This type of free-standing structure cannot currently be fabricated using conventional fabric manufacturing processes. In addition, compared to conventional smart fabric fabrication processes (e.g. weaving and knitting), screen printing offers the advantages of geometric design flexibility and the ability to simultaneously print multiple devices of the same or different designs. Furthermore, a range of active inks exists from the printed electronics industry which can potentially be applied to create many types of smart fabric. Four cantilevers with different lengths have been printed on fabric using a five-layer structure with a sacrificial material underneath the cantilever. The sacrificial layer is subsequently removed at 160 °C for 30 min to achieve a freestanding cantilever above the fabric. Two silver electrodes, one on top of the cantilever and the other on top of the fabric, are used to capacitively detect the movement of the cantilever. In this way, an entirely printed motion sensor is produced on a standard fabric. The motion sensor was initially tested on an electromechanical shaker rig at a low frequency range to examine the linearity and the sensitivity of each design. Then, these sensors were individually attached to a moving human forearm to evaluate more representative results. A commercial accelerometer (Microstrain G-link) was mounted alongside for comparison. The printed sensors have a similar motion response to the commercial accelerometer, demonstrating the potential of a printed smart fabric motion sensor for use in intelligent clothing applications. (paper)

  14. Screen printing of a capacitive cantilever-based motion sensor on fabric using a novel sacrificial layer process for smart fabric applications

    Science.gov (United States)

    Wei, Yang; Torah, Russel; Yang, Kai; Beeby, Steve; Tudor, John

    2013-07-01

    Free-standing cantilevers have been fabricated by screen printing sacrificial and structural layers onto a standard polyester cotton fabric. By printing additional conductive layers, a complete capacitive motion sensor on fabric using only screen printing has been fabricated. This type of free-standing structure cannot currently be fabricated using conventional fabric manufacturing processes. In addition, compared to conventional smart fabric fabrication processes (e.g. weaving and knitting), screen printing offers the advantages of geometric design flexibility and the ability to simultaneously print multiple devices of the same or different designs. Furthermore, a range of active inks exists from the printed electronics industry which can potentially be applied to create many types of smart fabric. Four cantilevers with different lengths have been printed on fabric using a five-layer structure with a sacrificial material underneath the cantilever. The sacrificial layer is subsequently removed at 160 °C for 30 min to achieve a freestanding cantilever above the fabric. Two silver electrodes, one on top of the cantilever and the other on top of the fabric, are used to capacitively detect the movement of the cantilever. In this way, an entirely printed motion sensor is produced on a standard fabric. The motion sensor was initially tested on an electromechanical shaker rig at a low frequency range to examine the linearity and the sensitivity of each design. Then, these sensors were individually attached to a moving human forearm to evaluate more representative results. A commercial accelerometer (Microstrain G-link) was mounted alongside for comparison. The printed sensors have a similar motion response to the commercial accelerometer, demonstrating the potential of a printed smart fabric motion sensor for use in intelligent clothing applications.

  15. On the use of remotely sensed data to constrain process modeling and ecological forecasting

    Science.gov (United States)

    Serbin, S.; Greenberg, J. A.

    2014-12-01

    The ability to seamlessly integrate information on vegetation structure, function, and dynamics across a continuum of scales, from the field to satellite observations, greatly enhances our ability to understand how terrestrial vegetation-atmosphere interactions change over time and in response
to disturbances and global change. For example, ecosystem process models require detailed information on the state (e.g. structure, leaf area index), surface properties (e.g. albedo), and dynamics (e.g. phenology, succession) of ecosystems in order to properly simulate the fluxes of carbon (C), water, and energy from the land to the atmosphere as well as address the vulnerability of ecosystems to environmental, pest and pathogen, and other anthropogenic perturbations. Other activities such as species distribution and environmental niche modeling (SDENM) require not only presence/absence information but also detailed spatial and temporal datasets, including climate and remotely sensed observations, to accurately project species ranges under current and often future climatic scenarios. Despite the many challenges of adequately initializing and parameterizing models, the last several decades have shown a substantial increase in the amount of available data useful for improving ecological predictions. Specifically remote sensing data provides an important data constraint for projecting species and successional changes as well as vegetation dynamics and the fluxes of C, water and energy and the storage of C in ecosystems, principally as a synoptic observational dataset for capturing short- to long-term plant-climate interactions. In this talk we will highlight the current and potential uses of various remotely sensed data sources in constraining process modeling and SDENM activities. We will pay particular attention to the uses of remote sensing as a direct constraint on ecological forecasts or a key observational dataset used to capture plant-climate interactions

  16. Smart Cellulose Fibers Coated with Carbon Nanotube Networks

    Directory of Open Access Journals (Sweden)

    Haisong Qi

    2014-11-01

    Full Text Available Smart multi-walled carbon nanotube (MWCNT-coated cellulose fibers with a unique sensing ability were manufactured by a simple dip coating process. The formation of electrically-conducting MWCNT networks on cellulose mono- and multi-filament fiber surfaces was confirmed by electrical resistance measurements and visualized by scanning electron microscopy. The interaction between MWCNT networks and cellulose fiber was investigated by Raman spectroscopy. The piezoresistivity of these fibers for strain sensing was investigated. The MWCNT-coated cellulose fibers exhibited a unique linear strain-dependent electrical resistance change up to 18% strain, with good reversibility and repeatability. In addition, the sensing behavior of these fibers to volatile molecules (including vapors of methanol, ethanol, acetone, chloroform and tetrahydrofuran was investigated. The results revealed a rapid response, high sensitivity and good reproducibility for these chemical vapors. Besides, they showed good selectivity to different vapors. It is suggested that the intrinsic physical and chemical features of cellulose fiber, well-formed MWCNT networks and favorable MWCNT-cellulose interaction caused the unique and excellent sensing ability of the MWCNT-coated cellulose fibers, which have the potential to be used as smart materials.

  17. Development of regulatory policy for SMART-P

    Energy Technology Data Exchange (ETDEWEB)

    Lee, S. H.; Lee, Y. H.; Moo, Philip; Koh, B. J.; Son, M. K.; Han, G. H.; Kim, D. H. [Korea Association for Nuclear Technology, Daejeon (Korea, Republic of)

    2004-06-15

    KAERI promoted the construction of a research reactor, SMART-P, the reduced scale of SMART, with intent to demonstrate the safety and performance of SMART. According to this progress, the development of regulatory process for SMART-P became necessary. The establishment of regulatory policy, based on the current regulatory guidelines as well as technical aspect, became essential matters. Considering the on-going small and medium size reactors in near future, the selection of the appropriate measure in the existing regulatory process to SMART-P is very important. Thus the schematic study for the applicable licensing procedure and regulatory requirements suitable for SMART-P is required.

  18. Development of regulatory policy for SMART-P

    Energy Technology Data Exchange (ETDEWEB)

    Lee, S. H.; Moon, S. H.; Lee, Y. H.; Son, M. K.; Han, K. H.; Kim, D. H. [Korea Association for Nuclear Technology, Taejon (Korea, Republic of)

    2003-06-15

    KAERI promoted the construction of a research reactor, SMART-P, the reduced scale of SMART, with intent to demonstrate the safety and performance of SMART. According to this progress, the development of regulatory process for SMART-P became necessary. The establishment of regulatory policy, based on the current regulatory guidelines as well as technical aspect, became essential matters. Considering the on-going small and medium size reactors m near future, the selection of the appropriate measure in the existing regulatory process to SMART-P is very important. Thus the schematic study for the applicable licensing procedure and regulatory requirements suitable for SMART-P is required.

  19. Social Internet of Vehicles for Smart Cities

    OpenAIRE

    Leandros A. Maglaras; Ali H. Al-Bayatti; Ying He; Isabel Wagner; Helge Janicke

    2016-01-01

    Digital devices are becoming increasingly ubiquitous and interconnected. Their evolution to intelligent parts of a digital ecosystem creates novel applications with so far unresolved security issues. A particular example is a vehicle. As vehicles evolve from simple means of transportation to smart entities with new sensing and communication capabilities, they become active members of a smart city. The Internet of Vehicles (IoV) consists of vehicles that communicate with each other and with pu...

  20. Hadoop Oriented Smart Cities Architecture.

    Science.gov (United States)

    Diaconita, Vlad; Bologa, Ana-Ramona; Bologa, Razvan

    2018-04-12

    A smart city implies a consistent use of technology for the benefit of the community. As the city develops over time, components and subsystems such as smart grids, smart water management, smart traffic and transportation systems, smart waste management systems, smart security systems, or e-governance are added. These components ingest and generate a multitude of structured, semi-structured or unstructured data that may be processed using a variety of algorithms in batches, micro batches or in real-time. The ICT architecture must be able to handle the increased storage and processing needs. When vertical scaling is no longer a viable solution, Hadoop can offer efficient linear horizontal scaling, solving storage, processing, and data analyses problems in many ways. This enables architects and developers to choose a stack according to their needs and skill-levels. In this paper, we propose a Hadoop-based architectural stack that can provide the ICT backbone for efficiently managing a smart city. On the one hand, Hadoop, together with Spark and the plethora of NoSQL databases and accompanying Apache projects, is a mature ecosystem. This is one of the reasons why it is an attractive option for a Smart City architecture. On the other hand, it is also very dynamic; things can change very quickly, and many new frameworks, products and options continue to emerge as others decline. To construct an optimized, modern architecture, we discuss and compare various products and engines based on a process that takes into consideration how the products perform and scale, as well as the reusability of the code, innovations, features, and support and interest in online communities.

  1. Hadoop Oriented Smart Cities Architecture

    Directory of Open Access Journals (Sweden)

    Vlad Diaconita

    2018-04-01

    Full Text Available A smart city implies a consistent use of technology for the benefit of the community. As the city develops over time, components and subsystems such as smart grids, smart water management, smart traffic and transportation systems, smart waste management systems, smart security systems, or e-governance are added. These components ingest and generate a multitude of structured, semi-structured or unstructured data that may be processed using a variety of algorithms in batches, micro batches or in real-time. The ICT architecture must be able to handle the increased storage and processing needs. When vertical scaling is no longer a viable solution, Hadoop can offer efficient linear horizontal scaling, solving storage, processing, and data analyses problems in many ways. This enables architects and developers to choose a stack according to their needs and skill-levels. In this paper, we propose a Hadoop-based architectural stack that can provide the ICT backbone for efficiently managing a smart city. On the one hand, Hadoop, together with Spark and the plethora of NoSQL databases and accompanying Apache projects, is a mature ecosystem. This is one of the reasons why it is an attractive option for a Smart City architecture. On the other hand, it is also very dynamic; things can change very quickly, and many new frameworks, products and options continue to emerge as others decline. To construct an optimized, modern architecture, we discuss and compare various products and engines based on a process that takes into consideration how the products perform and scale, as well as the reusability of the code, innovations, features, and support and interest in online communities.

  2. Spatial service delivery system for smart licensing & enforcement management

    Science.gov (United States)

    Wahap, N. A.; Ismail, N. M.; Nor, N. M.; Ahmad, N.; Omar, M. F.; Termizi, A. A. A.; Zainal, D.; Noordin, N. M.; Mansor, S.

    2016-06-01

    Spatial information has introduced a new sense of urgency for a better understanding of the public needs in term of what, when and where they need services and through which devices, platform or physical locations they need them. The objective of this project is to value- add existing license management process for business premises which comes under the responsibility of Local Authority (PBT). Manipulation of geospatial and tracing technology via mobile platform allows enforcement officers to work in real-time, use a standardized system, improve service delivery, and optimize operation management. This paper will augment the scope and capabilities of proposed concept namely, Smart Licensing/Enforcement Management (SLEm). It will review the current licensing and enforcement practice of selected PBT in comparison to the enhanced method. As a result, the new enhanced system is expected to offer a total solution for licensing/enforcement management whilst increasing efficiency and transparency for smart city management and governance.

  3. Magnetic-fluid-based smart centrifugal switch

    CERN Document Server

    Bhatt, R P

    2002-01-01

    A new type of centrifugal switch, which we call 'smart centrifugal switch' is designed and developed utilizing the novel properties of magnetic fluid. No mechanical movement is involved in the sensing and switching operations of this centrifugal switch and both these operations are achieved in a smart way. The performance of the switch is studied. This switch has several important advantages over conventional centrifugal switches like smart and non-contact type operation, sparkless and hence explosion proof working and inertia-less simple structure.

  4. Acoustic emission signal processing for rolling bearing running state assessment using compressive sensing

    Science.gov (United States)

    Liu, Chang; Wu, Xing; Mao, Jianlin; Liu, Xiaoqin

    2017-07-01

    In the signal processing domain, there has been growing interest in using acoustic emission (AE) signals for the fault diagnosis and condition assessment instead of vibration signals, which has been advocated as an effective technique for identifying fracture, crack or damage. The AE signal has high frequencies up to several MHz which can avoid some signals interference, such as the parts of bearing (i.e. rolling elements, ring and so on) and other rotating parts of machine. However, acoustic emission signal necessitates advanced signal sampling capabilities and requests ability to deal with large amounts of sampling data. In this paper, compressive sensing (CS) is introduced as a processing framework, and then a compressive features extraction method is proposed. We use it for extracting the compressive features from compressively-sensed data directly, and also prove the energy preservation properties. First, we study the AE signals under the CS framework. The sparsity of AE signal of the rolling bearing is checked. The observation and reconstruction of signal is also studied. Second, we present a method of extraction AE compressive feature (AECF) from compressively-sensed data directly. We demonstrate the energy preservation properties and the processing of the extracted AECF feature. We assess the running state of the bearing using the AECF trend. The AECF trend of the running state of rolling bearings is consistent with the trend of traditional features. Thus, the method is an effective way to evaluate the running trend of rolling bearings. The results of the experiments have verified that the signal processing and the condition assessment based on AECF is simpler, the amount of data required is smaller, and the amount of computation is greatly reduced.

  5. Forisome as biomimetic smart materials

    Science.gov (United States)

    Shen, Amy; Hamlington, Benjamin; Knoblauch, Michael; Peters, Winfried; Pickard, William

    2005-05-01

    With the discovery in plants of the proteinaceous forisome crystalloid (Knoblauch et al. 2003), a novel nastic non-living, ATP-independent biological material became available to the designer of smart materials for advanced actuating and sensing. The in vitro studies of Knoblauch et al. show that forisomes (1-3 micron wide and 10-30 micron long) can be repeatedly stimulated to contract and expand anisotropically by shifting either the ambient pH or the ambient calcium ion concentration. In a device, the energy required for the transformations would be provided electrochemically by mini-electrodes inducing pH variation. Because of their unique abilities to develop and reverse strains greater than 20% in time periods less than 1s , forisomes have the potential to outperform current smart materials (such as ATP-dependent actuators or synthetic hydrogels/polymers) as advanced, biomimetic, multi-functional, smart sensors or valves or actuators. To date, studies have been limited to questions of protein engineering explored by Knaublach et al. Probing forisome material properties is therefore an immediate need to lay the foundation for synthesizing forisome-based smart materials for health monitoring of structural integrity in civil infrastructure and aerospace hardware. Here, we use microfluidics to study the surface interaction between forisome and substrate and the conformational dynamics of forisomes within a confined geometry to lay the foundation for forisome-based smart materials synthesis with controlled and repeatable environment.

  6. Fabrication of Porous Silicon Based Humidity Sensing Elements on Paper

    Directory of Open Access Journals (Sweden)

    Tero Jalkanen

    2015-01-01

    Full Text Available A roll-to-roll compatible fabrication process of porous silicon (pSi based sensing elements for a real-time humidity monitoring is described. The sensing elements, consisting of printed interdigitated silver electrodes and a spray-coated pSi layer, were fabricated on a coated paper substrate by a two-step process. Capacitive and resistive responses of the sensing elements were examined under different concentrations of humidity. More than a three orders of magnitude reproducible decrease in resistance was measured when the relative humidity (RH was increased from 0% to 90%. A relatively fast recovery without the need of any refreshing methods was observed with a change in RH. Humidity background signal and hysteresis arising from the paper substrate were dependent on the thickness of sensing pSi layer. Hysteresis in most optimal sensing element setup (a thick pSi layer was still noticeable but not detrimental for the sensing. In addition to electrical characterization of sensing elements, thermal degradation and moisture adsorption properties of the paper substrate were examined in connection to the fabrication process of the silver electrodes and the moisture sensitivity of the paper. The results pave the way towards the development of low-cost humidity sensors which could be utilized, for example, in smart packaging applications or in smart cities to monitor the environment.

  7. Influence of Fabricating Process on Gas Sensing Properties of ZnO Nanofiber-Based Sensors

    Science.gov (United States)

    Xu, Lei; Wang, Rui; Liu, Yong; Dong, Liang

    2011-04-01

    ZnO nanofibers are synthesized by an electrospinning method and characterized by x-ray diffraction (XRD) and scanning electron microscopy (SEM). Two types of gas sensors are fabricated by loading these nanofibers as the sensing materials and their performances are investigated in detail. Compared with the sensors based on traditional ceramic tubes with Au electrodes (traditional sensors), the sensors fabricated by spinning ZnO nanofibers on ceramic planes with Ag-Pd electrodes (plane sensors) exhibit much higher sensing properties. The sensitivity for the plane sensors is about 30 to 100 ppm ethanol at 300°C, while the value is only 13 for the traditional sensors. The response and recovery times are about 2 and 3s for the plane sensors and are 3 and 6s for the traditional sensors, respectively. Lower minimum-detection-limit is also found for the plane sensors. These improvements are explained by considering the morphological damage in the fabricating process for traditional sensors. The results suggest that the plane sensors are more suitable to sensing investigation for higher veracity.

  8. Real-Time Plasma Process Condition Sensing and Abnormal Process Detection

    Directory of Open Access Journals (Sweden)

    Ryan Yang

    2010-06-01

    Full Text Available The plasma process is often used in the fabrication of semiconductor wafers. However, due to the lack of real-time etching control, this may result in some unacceptable process performances and thus leads to significant waste and lower wafer yield. In order to maximize the product wafer yield, a timely and accurately process fault or abnormal detection in a plasma reactor is needed. Optical emission spectroscopy (OES is one of the most frequently used metrologies in in-situ process monitoring. Even though OES has the advantage of non-invasiveness, it is required to provide a huge amount of information. As a result, the data analysis of OES becomes a big challenge. To accomplish real-time detection, this work employed the sigma matching method technique, which is the time series of OES full spectrum intensity. First, the response model of a healthy plasma spectrum was developed. Then, we defined a matching rate as an indictor for comparing the difference between the tested wafers response and the health sigma model. The experimental results showed that this proposal method can detect process faults in real-time, even in plasma etching tools.

  9. Indium oxide octahedrons based on sol–gel process enhance room temperature gas sensing performance

    International Nuclear Information System (INIS)

    Mu, Xiaohui; Chen, Changlong; Han, Liuyuan; Shao, Baiqi; Wei, Yuling; Liu, Qinglong; Zhu, Peihua

    2015-01-01

    Highlights: • In 2 O 3 octahedron films are prepared based on sol–gel technique for the first time. • The preparation possesses merits of low temperature, catalyst-free and large production. • It was found that the spin-coating process in film fabrication was key to achieve the octahedrons. • The In 2 O 3 octahedrons could significantly enhance room temperature NO 2 gas sensing performance. - Abstract: Indium oxide octahedrons were prepared on glass substrates through a mild route based on sol–gel technique. The preparation possesses characteristics including low temperature, catalyst-free and large production, which is much distinguished from the chemical-vapor-deposition based methods that usually applied to prepare indium oxide octahedrons. Detailed characterization revealed that the indium oxide octahedrons were single crystalline, with {1 1 1} crystal facets exposed. It was found that the spin-coating technique was key for achieving the indium oxide crystals with octahedron morphology. The probable formation mechanism of the indium oxide octahedrons was proposed based on the experiment results. Room temperature NO 2 gas sensing measurements exhibited that the indium oxide octahedrons could significantly enhance the sensing performance in comparison with the plate-like indium oxide particles that prepared from the dip-coated gel films, which was attributed to the abundant sharp edges and tips as well as the special {1 1 1} crystal facets exposed that the former possessed. Such a simple wet-chemical based method to prepare indium oxide octahedrons with large-scale production is promising to provide the advanced materials that can be applied in wide fields like gas sensing, solar energy conversion, field emission, and so on

  10. Combining machine learning and remotely sensed bandratios to investigate chlorophyll content and photosynthetic processes

    Science.gov (United States)

    Gholizadeh, Hamed

    Photosynthesis in aquatic and terrestrial ecosystems is the key component of the food chain and the most important driver of the global carbon cycle. Therefore, estimation of photosynthesis at large spatial scales is of great scientific importance and can only practically be achieved by remote sensing data and techniques. In this dissertation, remotely sensed information and techniques, as well as field measurements, are used to improve current approaches of assessing photosynthetic processes. More specifically, three topics are the focus here: (1) investigating the application of spectral vegetation indices as proxies for terrestrial chlorophyll in a mangrove ecosystem, (2) evaluating and improving one of the most common empirical ocean-color algorithms (OC4), and (3) developing an improved approach based on sunlit-to-shaded scaled photochemical reflectance index (sPRI) ratios for detecting drought signals in a deciduous forest at eastern United States. The results indicated that although the green normalized difference vegetation index (GNDVI) is an efficient proxy for terrestrial chlorophyll content, there are opportunities to improve the performance of vegetation indices by optimizing the band weights. In regards to the second topic, we concluded that the parameters of the OC4 algorithm and similar empirical models should be tuned regionally and the addition of sea-surface temperature makes the global ocean-color approaches more valid. Results obtained from the third topic showed that considering shaded and sunlit portions of the canopy (i.e., two-leaf models instead of single big leaf models) and taking into account the divergent stomatal behavior of the species (i.e. isohydric and anisohydric) can improve the capability of sPRI in detecting drought. In addition to investigating the photosynthetic processes, the other common theme of the three research topics is the evaluation of "off- the-shelf" solutions to remote-sensing problems. Although widely used

  11. Smart Growth and Transportation

    Science.gov (United States)

    Describes the relationship between smart growth and transportation, focusing smart and sustainable street design, transit-oriented development, parking management, sustainable transportation planning, and related resources.

  12. In-database processing of a large collection of remote sensing data: applications and implementation

    Science.gov (United States)

    Kikhtenko, Vladimir; Mamash, Elena; Chubarov, Dmitri; Voronina, Polina

    2016-04-01

    Large archives of remote sensing data are now available to scientists, yet the need to work with individual satellite scenes or product files constrains studies that span a wide temporal range or spatial extent. The resources (storage capacity, computing power and network bandwidth) required for such studies are often beyond the capabilities of individual geoscientists. This problem has been tackled before in remote sensing research and inspired several information systems. Some of them such as NASA Giovanni [1] and Google Earth Engine have already proved their utility for science. Analysis tasks involving large volumes of numerical data are not unique to Earth Sciences. Recent advances in data science are enabled by the development of in-database processing engines that bring processing closer to storage, use declarative query languages to facilitate parallel scalability and provide high-level abstraction of the whole dataset. We build on the idea of bridging the gap between file archives containing remote sensing data and databases by integrating files into relational database as foreign data sources and performing analytical processing inside the database engine. Thereby higher level query language can efficiently address problems of arbitrary size: from accessing the data associated with a specific pixel or a grid cell to complex aggregation over spatial or temporal extents over a large number of individual data files. This approach was implemented using PostgreSQL for a Siberian regional archive of satellite data products holding hundreds of terabytes of measurements from multiple sensors and missions taken over a decade-long span. While preserving the original storage layout and therefore compatibility with existing applications the in-database processing engine provides a toolkit for provisioning remote sensing data in scientific workflows and applications. The use of SQL - a widely used higher level declarative query language - simplifies interoperability

  13. Educating the smart city: Schooling smart citizens through computational urbanism

    Directory of Open Access Journals (Sweden)

    Ben Williamson

    2015-11-01

    Full Text Available Coupled with the ‘smart city’, the idea of the ‘smart school’ is emerging in imaginings of the future of education. Various commercial, governmental and civil society organizations now envisage education as a highly coded, software-mediated and data-driven social institution. Such spaces are to be governed through computational processes written in computer code and tracked through big data. In an original analysis of developments from commercial, governmental and civil society sectors, the article examines two interrelated dimensions of an emerging smart schools imaginary: (1 the constant flows of digital data that smart schools depend on and the mobilization of analytics that enable student data to be used to anticipate and shape their behaviours; and (2 the ways that young people are educated to become ‘computational operatives’ who must ‘learn to code’ in order to become ‘smart citizens’ in the governance of the smart city. These developments constitute an emerging educational space fabricated from intersecting standards, technologies, discourses and social actors, all infused with the aspirations of technical experts to govern the city at a distance through both monitoring young people as ‘data objects’ and schooling them as active ‘computational citizens’ with the responsibility to compute the future of the city.

  14. Towards Predictive Modeling of Information Processing in Microbial Ecosystems With Quorum-Sensing Interactions

    Science.gov (United States)

    Yusufaly, Tahir; Boedicker, James

    Bacteria communicate using external chemical signals in a process known as quorum sensing. However, the efficiency of this communication is reduced by both limitations on the rate of diffusion over long distances and potential interference from neighboring strains. Therefore, having a framework to quantitatively predict how spatial structure and biodiversity shape information processing in bacterial colonies is important, both for understanding the evolutionary dynamics of natural microbial ecosystems, and for the rational design of synthetic ecosystems with desired computational properties. As a first step towards these goals, we implement a reaction-diffusion model to study the dynamics of a LuxI/LuxR quorum sensing circuit in a growing bacterial population. The spatiotemporal concentration profile of acyl-homoserine lactone (AHL) signaling molecules is analyzed, and used to define a measure of physical and functional signaling network connectivity. From this, we systematically investigate how different initial distributions of bacterial populations influence the subsequent efficiency of collective long-range signal propagation in the population. We compare our results with known experimental data, and discuss limitations and extensions to our modeling framework.-/abstract-

  15. Advanced optical sensing and processing technologies for the distributed control of large flexible spacecraft

    Science.gov (United States)

    Williams, G. M.; Fraser, J. C.

    1991-01-01

    The objective was to examine state-of-the-art optical sensing and processing technology applied to control the motion of flexible spacecraft. Proposed large flexible space systems, such an optical telescopes and antennas, will require control over vast surfaces. Most likely distributed control will be necessary involving many sensors to accurately measure the surface. A similarly large number of actuators must act upon the system. The used technical approach included reviewing proposed NASA missions to assess system needs and requirements. A candidate mission was chosen as a baseline study spacecraft for comparison of conventional and optical control components. Control system requirements of the baseline system were used for designing both a control system containing current off-the-shelf components and a system utilizing electro-optical devices for sensing and processing. State-of-the-art surveys of conventional sensor, actuator, and processor technologies were performed. A technology development plan is presented that presents a logical, effective way to develop and integrate advancing technologies.

  16. Smart cities of the future

    Science.gov (United States)

    Batty, M.; Axhausen, K. W.; Giannotti, F.; Pozdnoukhov, A.; Bazzani, A.; Wachowicz, M.; Ouzounis, G.; Portugali, Y.

    2012-11-01

    Here we sketch the rudiments of what constitutes a smart city which we define as a city in which ICT is merged with traditional infrastructures, coordinated and integrated using new digital technologies. We first sketch our vision defining seven goals which concern: developing a new understanding of urban problems; effective and feasible ways to coordinate urban technologies; models and methods for using urban data across spatial and temporal scales; developing new technologies for communication and dissemination; developing new forms of urban governance and organisation; defining critical problems relating to cities, transport, and energy; and identifying risk, uncertainty, and hazards in the smart city. To this, we add six research challenges: to relate the infrastructure of smart cities to their operational functioning and planning through management, control and optimisation; to explore the notion of the city as a laboratory for innovation; to provide portfolios of urban simulation which inform future designs; to develop technologies that ensure equity, fairness and realise a better quality of city life; to develop technologies that ensure informed participation and create shared knowledge for democratic city governance; and to ensure greater and more effective mobility and access to opportunities for urban populations. We begin by defining the state of the art, explaining the science of smart cities. We define six scenarios based on new cities badging themselves as smart, older cities regenerating themselves as smart, the development of science parks, tech cities, and technopoles focused on high technologies, the development of urban services using contemporary ICT, the use of ICT to develop new urban intelligence functions, and the development of online and mobile forms of participation. Seven project areas are then proposed: Integrated Databases for the Smart City, Sensing, Networking and the Impact of New Social Media, Modelling Network Performance

  17. Smart grid business case for private homes

    DEFF Research Database (Denmark)

    Villefrance, Rasmus; Brandt, Jonas; Eriksen, Poul Svante

    2013-01-01

    We describe and consider how the potential of energy savings may drive the penetration of smart grid technology into private homes. We assess the sociological processes which lead to energy savings when the residents have access to smart grid technology. We propose a way to establish a cash flow...... from consumers via electrical distribution companies to smart grid technology providers on the Danish market. Finally, we assess the impact of such a business development on the society, as well as relating the penetration of smart grid technology in private homes to the societal goal of 100% renewable...

  18. Engineering the smart factory

    Science.gov (United States)

    Harrison, Robert; Vera, Daniel; Ahmad, Bilal

    2016-10-01

    The fourth industrial revolution promises to create what has been called the smart factory. The vision is that within such modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralised decisions. This paper provides a view of this initiative from an automation systems perspective. In this context it considers how future automation systems might be effectively configured and supported through their lifecycles and how integration, application modelling, visualisation and reuse of such systems might be best achieved. The paper briefly describes limitations in current engineering methods, and new emerging approaches including the cyber physical systems (CPS) engineering tools being developed by the automation systems group (ASG) at Warwick Manufacturing Group, University of Warwick, UK.

  19. Smart Markets for Water Resources

    Science.gov (United States)

    Raffensperger, John

    2017-04-01

    Commercial water users often want to trade water, but their trades can hurt other users and the environment. So government has to check every transaction. This checking process is slow and expensive. That's why "free market" water trading doesn't work, especially with trading between a single buyer and a single seller. This talk will describe a water trading mechanism designed to solve these problems. The trading mechanism is called a "smart market". A smart market allows simultaneous many-to-many trades. It can reduce the transaction costs of water trading, while improving environmental outcomes. The smart market depends on a combination of recent technologies: hydrology simulation, computer power, and the Internet. Our smart market design uses standard hydrological models, user bids from a web page, and computer optimization to maximize the economic value of water while meeting all environmental constraints. Before the smart market can be implemented, however, users and the water agency must meet six critical prerequisites. These prerequisites may be viewed as simply good water management that should be done anyway. I will describe these prerequisites, and I will briefly discuss common arguments against water markets. This talk will be an abstract of a forthcoming book, "Smart Markets for Water Resources: A Manual for Implementation," by John F. Raffensperger and Mark W. Milke, from Springer Publishing.

  20. Recent developments in smart freezing technology applied to fresh foods.

    Science.gov (United States)

    Xu, Ji-Cheng; Zhang, Min; Mujumdar, Arun S; Adhikari, Benu

    2017-09-02

    Due to the increased awareness of consumers in sensorial and nutritional quality of frozen foods, the freezing technology has to seek new and innovative technologies for better retaining the fresh like quality of foods. In this article, we review the recent developments in smart freezing technology applied to fresh foods. The application of these intelligent technologies and the associated underpinning concepts have greatly improved the quality of frozen foods and the freezing efficiency. These technologies are able to automatically collect the information in-line during freezing and help control the freezing process better. Smart freezing technology includes new and intelligent technologies and concepts applied to the pretreatment of the frozen product, freezing processes, cold chain logistics as well as warehouse management. These technologies enable real-time monitoring of quality during the freezing process and help improve product quality and freezing efficiency. We also provide a brief overview of several sensing technologies used to achieve automatic control of individual steps of freezing process. These sensing technologies include computer vision, electronic nose, electronic tongue, digital simulation, confocal laser, near infrared spectroscopy, nuclear magnetic resonance technology and ultrasound. Understanding of the mechanism of these new technologies will be helpful for applying them to improve the quality of frozen foods.

  1. NAMMA SMART-COMMIT MOBILE LABORATORIES V1

    Data.gov (United States)

    National Aeronautics and Space Administration — The NAMMA SMART-COMMIT Mobile Laboratories dataset consists of data obtained from a suite of in situ and remote sensing instruments which measure parameters that...

  2. NAMMA SMART-COMMIT MOBILE LABORATORIES V1

    Data.gov (United States)

    National Aeronautics and Space Administration — The SMART-COMMIT dataset consists of data obtained from a suite of insitu and remote sensing instruments which measures parameters that characterize constituents of...

  3. SAFARI 2000 Surface Atmospheric Radiative Transfer (SMART), Dry Season 2000

    Data.gov (United States)

    National Aeronautics and Space Administration — Surface-sensing Measurements for Radiative Transfer (SMART) and Chemical, Optical, and Microphysical Measurements of In-situ Troposphere (COMMIT) consist of a suite...

  4. Smart Toys Designed for Detecting Developmental Delays

    Directory of Open Access Journals (Sweden)

    Diego Rivera

    2016-11-01

    Full Text Available In this paper, we describe the design considerations and implementation of a smart toy system, a technology for supporting the automatic recording and analysis for detecting developmental delays recognition when children play using the smart toy. To achieve this goal, we take advantage of the current commercial sensor features (reliability, low consumption, easy integration, etc. to develop a series of sensor-based low-cost devices. Specifically, our prototype system consists of a tower of cubes augmented with wireless sensing capabilities and a mobile computing platform that collect the information sent from the cubes allowing the later analysis by childhood development professionals in order to verify a normal behaviour or to detect a potential disorder. This paper presents the requirements of the toy and discusses our choices in toy design, technology used, selected sensors, process to gather data from the sensors and generate information that will help in the decision-making and communication of the information to the collector system. In addition, we also describe the play activities the system supports.

  5. Unpacking Big Systems -- Natural Language Processing Meets Network Analysis. A Study of Smart Grid Development in Denmark

    DEFF Research Database (Denmark)

    Jurowetzki, Roman

    Studies within the detection of technological trajectories and technology forecasting tend traditionally to rely on patent or bibliometric data. The main drawback of these invention-focused approaches is their inability to account for many mainly non-technical factors related to the social...... structure and to some extent quantify unstructured text data. The utilized filtered corpora consist of two types of Danish text-documents: 99 R&DD project descriptions and 574 (initially before filtering 813) non-academic/industrial journal publications dealing with the development of the smart energy grid...... in Denmark. Results show that in the explored case it is not mainly new technologies and applications that are driving change but innovative re-combinations of old and new technologies....

  6. Aging and the number sense: preserved basic non-symbolic numerical processing and enhanced basic symbolic processing

    Directory of Open Access Journals (Sweden)

    Jade Eloise eNorris

    2015-07-01

    Full Text Available Aging often leads to general cognitive decline in domains such as memory and attention. The effect of aging on numerical cognition, particularly on foundational numerical skills known as the Number Sense, is not well known. Early research focused on the effect of aging on arithmetic. Recent studies have begun to investigate the impact of healthy aging on basic numerical skills, but focused on non-symbolic quantity discrimination alone. Moreover, contradictory findings have emerged. The current study aimed to further investigate the impact of aging on basic non-symbolic and symbolic numerical skills. A group of 25 younger (18-25 and 25 older adults (60-77 participated in non-symbolic and symbolic numerical comparison tasks. Mathematical and spelling abilities were also measured. Results showed that aging had no effect on foundational non-symbolic numerical skills, as both groups performed similarly (RTs, accuracy and Weber fractions (w. All participants showed decreased non-symbolic acuity (accuracy and w in trials requiring inhibition. However, aging appears to be associated with a greater decline in discrimination speed in such trials. Furthermore, aging seems to have a positive impact on mathematical ability and basic symbolic numerical processing, as older participants attained significantly higher mathematical achievement scores, and performed significantly better on the symbolic comparison task than younger participants. The findings suggest that aging and its lifetime exposure to numbers may lead to better mathematical achievement and stronger basic symbolic numerical skills. Our results further support the observation that basic non-symbolic numerical skills are resilient to aging, but that aging may exacerbate poorer performance on trials requiring inhibitory processes. These findings lend further support to the notion that preserved basic numerical skills in aging may reflect the preservation of an innate, primitive and embedded Number

  7. Smart Factory

    DEFF Research Database (Denmark)

    Bilberg, Arne; Radziwon, Agnieszka; Grube Hansen, David

    2017-01-01

    A large part of Danish Industry is based on Small and Medium Sized Enterprises (SMEs), which account for –99% of the companies in Denmark and about two third of the job positions (source: statistikbanken.dk) . That is why, it is so important also to focus research and development at SMEs, and to ......A large part of Danish Industry is based on Small and Medium Sized Enterprises (SMEs), which account for –99% of the companies in Denmark and about two third of the job positions (source: statistikbanken.dk) . That is why, it is so important also to focus research and development at SMEs......, and to target their challenges and ensure sustainable growth and business in these enterprises. Therefore the focus of the Smart Factory project was to support the growth and sustainable development of the small and medium sized manufacturing industry in Denmark. The project focused on SMEs and how to improve...... their innovation and competitive advantage by focusing at their competences, strengths and opportunities. The project suggests innovative solutions and business models through collaboration and use of new technologies. In the Smart Factory, SMEs should be able to collaborate on new products, markets and production...

  8. Challenging 'smart' in smart city strategies

    DEFF Research Database (Denmark)

    Sandvik, Kjetil; Knudsen, Jacob

    Smart city strategies concern the improvement of economic and political efficiency and the enabling of social, cultural and urban development (Hollands 2008) and covers a variety of fields from improving infrastructures, social and cultural development, resilience strategies (e.g. green energy......), improving schools, social welfare institutions, public and private institutions etc. The 'smart' in smart city strategies implies that these efforts are accomplished by the introduction and embedding of smart media technology into the very fabric of society. This is often done in a top-down and technology......-centric way (from city branding initiatives to the digitization of the public sector). This presentation will challenge this approach to smart city strategies by proposing that instead of a 'technology first' approach, we need to introduce the smart citizen in the center of smart city strategic planning...

  9. Smart energy and smart energy systems

    DEFF Research Database (Denmark)

    Lund, Henrik; Østergaard, Poul Alberg; Connolly, David

    2017-01-01

    In recent years, the terms “Smart Energy” and “Smart Energy Systems” have been used to express an approach that reaches broader than the term “Smart grid”. Where Smart Grids focus primarily on the electricity sector, Smart Energy Systems take an integrated holistic focus on the inclusion of more...... sectors (electricity, heating, cooling, industry, buildings and transportation) and allows for the identification of more achievable and affordable solutions to the transformation into future renewable and sustainable energy solutions. This paper first makes a review of the scientific literature within...... the field. Thereafter it discusses the term Smart Energy Systems with regard to the issues of definition, identification of solu- tions, modelling, and integration of storage. The conclusion is that the Smart Energy System concept represents a scientific shift in paradigms away from single-sector thinking...

  10. WPS-based technology for client-side remote sensing data processing

    Science.gov (United States)

    Kazakov, E.; Terekhov, A.; Kapralov, E.; Panidi, E.

    2015-04-01

    Server-side processing is principal for most of the current Web-based geospatial data processing tools. However, in some cases the client-side geoprocessing may be more convenient and acceptable. This study is dedicated to the development of methodology and techniques of Web services elaboration, which allow the client-side geoprocessing also. The practical objectives of the research are focused on the remote sensing data processing, which are one of the most resource-intensive data types. The idea underlying the study is to propose such geoprocessing Web service schema that will be compatible with the current serveroriented Open Geospatial Consortium standard (OGC WPS standard), and additionally will allow to run the processing on the client, transmitting processing tool (executable code) over the network instead of the data. At the same time, the unity of executable code must be preserved, and the transmitted code should be the same to that is used for server-side processing. This unity should provide unconditional identity of the processing results that performed using of any schema. The appropriate services are pointed by the authors as a Hybrid Geoprocessing Web Services (HGWSs). The common approaches to architecture and structure of the HGWSs are proposed at the current stage as like as a number of service prototypes. For the testing of selected approaches, the geoportal prototype was implemented, which provides access to created HGWS. Further works are conducted on the formalization of platform independent HGWSs implementation techniques, and on the approaches to conceptualization of theirs safe use and chaining possibilities. The proposed schema of HGWSs implementation could become one of the possible solutions for the distributed systems, assuming that the processing servers could play the role of the clients connecting to the service supply server. The study was partially supported by Russian Foundation for Basic Research (RFBR), research project No. 13

  11. The Search for a Convergent Option to Deploy Smart Grids on IoT Scenario

    Directory of Open Access Journals (Sweden)

    Hamilton da Gama Schroder Filho

    2017-06-01

    Full Text Available Smart city projects are quickly evolving in several countries as a feasible solution to the urban organization to provide sustainable socioeconomic growth and solve problems that arise as the populations of these cities grow. In this sense, technology application plays an important role in enabling automation of processes, improving the citizen’s quality of life and reducing the costs of public services for municipalities and enterprises. However, automation initiatives of services such as electricity, water, and gas which materialize by the so-called smart grids, have emerged earlier than smart city projects, and are consolidating in several countries. Although smart grid initiatives have arisen earlier to projects of smart cities it represents a subset of the great scenario of IoT that is the vision in which the smart city projects are based. The time difference from developments between these two initiatives made the alternatives of communication technologies for infrastructures construction of communication followed different paths. However, in view of the great scenery of IoT is desirable to determine technologies that provide convergence of a single urban communication infrastructure capable of supporting all applications, whether they are typically IoT or traditional smart grid applications. This work is a review which presents and discusses the two main technologies which are currently best positioned to play this role of convergence that is RF Mesh and LoRaWAN. The strengths and weaknesses of each one of them are also presented and propose that in actuality LoRaWAN is a promising option to offer the required conditions to take on this convergent position.

  12. Fiber sensing based on new structures and post-processing enhancement

    Science.gov (United States)

    Ferreira, Marta Sofia dos Anjos

    The work described in this PhD Thesis focuses on the post-processing of optical fibers and their enhancement as sensing element. Since the majority of sensors presented are based in Fabry-Perot interferometers, an historical overview of this category of optical fiber sensors is firstly presented. This review considers the works published since the early years, in the beginning of the 1980s, until the middle of 2015. The incorporation of microcavities at the tip of a single mode fiber was extensively studied, particularly for the measurement of nitrogen and methane gas pressure. These cavities were fabricated using hollow core silica tubes and a hollow core photonic crystal fiber. Following a different approach, the microcavities were incorporated between two sections of single mode fiber. In this case, the low sensitivity to temperature makes these microcavities highly desirable for the measurement of strain at high temperatures. Competences in post-processing techniques such as the chemical etching and the writing of periodical structures in the fiber core by means of an excimer or a femtosecond laser were also acquired in the course of the PhD programme. One of the works consisted in the design and manufacturing of a double clad optical fiber. The refractive index of the inner cladding was higher than the one of the outer cladding and the core. Thus, light was guided in the inner cladding instead of propagating in the core. This situation was overcome by applying chemical etching, thus removing the inner cladding. The core, surrounded by air, was then able to guide light. Two different applications were found for this fiber, as a temperature sensor and as an optical refractometer. In the last, the optical phase changes with the liquid refractive index. Two different types of fiber Bragg gratings were characterized in strain and temperature. Sensing structures obtained through the phase mask technique at the tip of an optical fiber were subjected to chemical

  13. Soft Mobility as a Smart Condition in a Mountain City

    Science.gov (United States)

    Virtudes, Ana; Azevedo, Henrique; Abbara, Arwa; Sá, João

    2017-10-01

    Nowadays soft mobility is a crucial issue towards a most sustainable urban environment. Not only because it promotes a less polluted atmosphere among the always dense and busy urban fabric, but also because it avoids several traffic problems. The use of bicycles, or mechanic mechanisms to support the pedestrian mobility is an emerging requirement of cities’ quality. In this sense, this article aims to discuss the soft mobility as a requirement of smart cities having as a case study one mountain urban area. It refers to the urban area of Covilhã on the highest mountain of Portugal with nearly two thousand meters high. During the last decades, this city’s transformation process has driven to an urban sprawl to the suburbs, increasing the efforts in terms of transportation required by the commuters. In fact, the number of inhabitants living in the city centre is decreasing in favour of the peripheral neighbourhoods. At the same time a set of several mechanic mechanisms such as public lifts, has been built in order to promote a soft pedestrian mobility. However, in many cases, because of the lack of connection and continuity of pedestrian paths in between these mechanisms, they are not allowing a pedestrian mobility network at the city scale. Thus, this paper aims to present a set of good practices in terms of pedestrian mobility network at the city scale, in order to promote a smarter urban environment. The principal results are that soft mobility is a key issue in order to turn cities smarter, among several other factors such as smart economy, smart people, smart governance or smart living. The major conclusions show that the concerns with mobility are key tools to achieve the smart city sustainability, providing and efficient and flexible traveling across the urban fabric, boosting the use of non-polluting ways of mobility. At the same time, there is the conclusion that the underlying areas of development for a smart city, despite its cultural or territorial

  14. Keys to Smart Home Diffusion: A Stated Preference Analysis of Smart Meters, Photovoltaic Generation, and Electric/Hybrid Vehicles

    OpenAIRE

    Takanori Ida; Kayo Murakami; Makoto Tanaka

    2012-01-01

    As expectations have risen about the deployment of smart grids, it is important to investigate the diffusion process of smart equipment such as smart meters, photovoltaic generation, and electric/hybrid vehicles. However, since the revealed preference data have not been accumulated for smart equipment diffusion, this paper conducts a conjoint analysis to examine consumers’ stated preferences on the basis of an online survey administered in March 2011. A mixed logit model that allows for indiv...

  15. Smarter energy from smart metering to the smart grid

    CERN Document Server

    Sun, Hongjian; Poor, H Vincent; Carpanini, Laurence; Fornié, Miguel Angel Sánchez

    2016-01-01

    This book presents cutting-edge perspectives and research results in smart energy spanning multiple disciplines across four main topics: smart metering, smart grid modeling, control and optimisation, and smart grid communications and networking.

  16. Multi-tiered sensing and data processing for monitoring ship structures

    Energy Technology Data Exchange (ETDEWEB)

    Farrar, Charles [Los Alamos National Laboratory; Salvino, Liming [NSWCCD; Lynch, Jerome [UNIV. OF MICHIGAN; Brady, Thomas [NSWCCD

    2009-01-01

    A comprehensive structural health monitoring (SHM) system is a critical mechanism to ensure hull integrity and evaluate structural performance over the life of a ship, especially for lightweight high-speed ships. One of the most important functions of a SHM system is to provide real-time performance guidance and reduce the risk of structural damage during operations at sea. This is done by continuous feedback from onboard sensors providing measurements of seaway loads and structural responses. Applications of SHM should also include diagnostic capabilities such as identifying the presence of damage, assessing the location and extent of damage when it does occur in order to plan for future inspection and maintenance. The development of such SHM systems is extremely challenging because of the physical size of these structures, the widely varying and often extreme operational and environmental conditions associated with the missions of high performance ships, the lack of data from known damage conditions, the limited sensing that was not designed specifically for SHM, the management of the vast amounts of data, and the need for continued, real-time data processing. This paper will discuss some of these challenges and several outstanding issues that need to be addressed in the context of applying various SHM approaches to sea trials data measured on an aluminum high-speed catamaran, the HSV-2 Swift. A multi-tiered approach for sensing and data processing will be discussed as potential SHM architecture for future shipboard application. This approach will involve application of low cost and dense sensor arrays such as wireless communications in selected areas of the ship hull in addition to conventional sensors measuring global structural response of the ship. A recent wireless hull monitoring demo on FSF-I SeaFighter will be discussed as an example to show how this proposed architecture is a viable approach for long-term and real-time hull monitoring.

  17. Smart Manufacturing.

    Science.gov (United States)

    Davis, Jim; Edgar, Thomas; Graybill, Robert; Korambath, Prakashan; Schott, Brian; Swink, Denise; Wang, Jianwu; Wetzel, Jim

    2015-01-01

    Historic manufacturing enterprises based on vertically optimized companies, practices, market share, and competitiveness are giving way to enterprises that are responsive across an entire value chain to demand dynamic markets and customized product value adds; increased expectations for environmental sustainability, reduced energy usage, and zero incidents; and faster technology and product adoption. Agile innovation and manufacturing combined with radically increased productivity become engines for competitiveness and reinvestment, not simply for decreased cost. A focus on agility, productivity, energy, and environmental sustainability produces opportunities that are far beyond reducing market volatility. Agility directly impacts innovation, time-to-market, and faster, broader exploration of the trade space. These changes, the forces driving them, and new network-based information technologies offering unprecedented insights and analysis are motivating the advent of smart manufacturing and new information technology infrastructure for manufacturing.

  18. Smart Grid: Smart Customer Policy Needs

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    In September 2010, the International Energy Agency (IEA) held a workshop on the regulatory, market and consumer policies necessary to ensure that smart grids are deployed with adequate consideration of their risks and benefits to all stakeholders. This was one of several workshops that brought together energy providers, network operators, technology developers, regulators, customers and government policy makers to discuss smart grid technology and policy. The Smart Grid - Smart Customer Policies workshop allowed stakeholders to: gain a perspective on key issues and barriers facing early deployment of smart grids; hear expert opinion on regulatory, consumer and market challenges to smart grids; discuss smart grid-smart customer policy priorities; and build consensus on the technology and policy ingredients needed for customer-friendly smart grid deployments. Drawing on workshop discussions, the following paper lays out a logical framework to maximise the benefits and minimise the risks that smart grids pose for customers. The paper also describes key policy research questions that will guide future IEA research on this topic.

  19. The Smart Grid Impact on the Danish DSOs’ Business Model

    DEFF Research Database (Denmark)

    Ma, Zheng; Sommer, Simon; Jørgensen, Bo Nørregaard

    2016-01-01

    Fyn and TREFOR. The main findings indicate that the Danish smart grid transformation process influences the Danish DSOs' business models via four smart grid related factors: (1) smart meters, (2) Distributed Energy Resources (DERs), (3) Bidirectional electricity flow, and (4) R&D. Therefore, the results show......The transformation progress of the smart grid challenges the market players' business models. One of those market players is the Distribution System Operators (DSOs). This paper aims to elaborate how smart grid influences the DSOs' business models with case studies of two Danish DSOs — Energi...... that the smart grid incrementally not revolutionary influences the Danish DSOs' business models, and the smart grid transformation of the Danish electricity grid is slower than the agenda of the official Danish smart grid development strategy....

  20. CITIESData: a smart city data management framework

    DEFF Research Database (Denmark)

    Liu, Xiufeng; Heller, Alfred; Nielsen, Per Sieverts

    2017-01-01

    Smart city data come from heterogeneous sources including various types of the Internet of Things such as traffic, weather, pollution, noise, and portable devices. They are characterized with diverse quality issues and with different types of sensitive information. This makes data processing...... and publishing challenging. In this paper,we propose a framework to streamline smart city data management, including data collection, cleansing, anonymization, and publishing. The paper classifies smart city data in sensitive, quasi-sensitive, and open/public levels and then suggests different strategies...... to process and publish the data within these categories. The paper evaluates the framework using a real-world smart city data set, and the results verify its effectiveness and efficiency. The framework can be a generic solution to manage smart city data....

  1. Efficient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing.

    Science.gov (United States)

    Xu, Jason; Minin, Vladimir N

    2015-07-01

    Branching processes are a class of continuous-time Markov chains (CTMCs) with ubiquitous applications. A general difficulty in statistical inference under partially observed CTMC models arises in computing transition probabilities when the discrete state space is large or uncountable. Classical methods such as matrix exponentiation are infeasible for large or countably infinite state spaces, and sampling-based alternatives are computationally intensive, requiring integration over all possible hidden events. Recent work has successfully applied generating function techniques to computing transition probabilities for linear multi-type branching processes. While these techniques often require significantly fewer computations than matrix exponentiation, they also become prohibitive in applications with large populations. We propose a compressed sensing framework that significantly accelerates the generating function method, decreasing computational cost up to a logarithmic factor by only assuming the probability mass of transitions is sparse. We demonstrate accurate and efficient transition probability computations in branching process models for blood cell formation and evolution of self-replicating transposable elements in bacterial genomes.

  2. AN ADAPTIVE MORPHOLOGICAL MEAN FILTER FOR VERY HIGH-RESOLUTION REMOTE SENSING IMAGE PROCESSING

    Directory of Open Access Journals (Sweden)

    Z. Lv

    2017-09-01

    Full Text Available Very high resolution (VHR remote sensing imagery can reveal the ground object in greater detail, depicting their color, shape, size and structure. However, VHR also leads much original noise in spectra, and this original noise may reduce the reliability of the classification’s result. This paper presents an Adaptive Morphological Mean Filter (AMMF for smoothing the original noise of VHR imagery and improving the classification’s performance. AMMF is a shape-adaptive filter which is constructed by detecting gradually the spectral similarity between a kernel-anchored pixel and its contextual pixels through an extension-detector with 8-neighbouring pixels, and the spectral value of the kernel-anchored pixel is instead by the mean of group pixels within the adaptive region. The classification maps based on the AMMF are compared with the classification of VHR images based on the homologous filter processing, such as Mean Filter (MF and Median Filter(MedF. The experimental results suggest the following: 1 VHR image processed using AMMF can not only preserve the detail information among inter-classes but also smooth the noise within intra-class; 2 The proposed AMMF processing can improve the classification’s performance of VHR image, and it obtains a better visual performance and accuracy while comparing with MF and MedF.

  3. Fiber‐optic distributed temperature sensing: A new tool for assessment and monitoring of hydrologic processes

    Science.gov (United States)

    Lane, John W.; Day-Lewis, Frederick D.; Johnson, Carole D.; Dawson, Cian B.; Nelms, David L.; Miller, Cheryl; Wheeler, Jerrod D.; Harvey, Charles F.; Karam, Hanan N.

    2008-01-01

    Fiber‐optic distributed temperature sensing (FO DTS) is an emerging technology for characterizing and monitoring a wide range of important earth processes. FO DTS utilizes laser light to measure temperature along the entire length of standard telecommunications optical fibers. The technology can measure temperature every meter over FO cables up to 30 kilometers (km) long. Commercially available systems can measure fiber temperature as often as 4 times per minute, with thermal precision ranging from 0.1 to 0.01 °C depending on measurement integration time. In 2006, the U.S. Geological Survey initiated a project to demonstrate and evaluate DTS as a technology to support hydrologic studies. This paper demonstrates the potential of the technology to assess and monitor hydrologic processes through case‐study examples of FO DTS monitoring of stream‐aquifer interaction on the Shenandoah River near Locke's Mill, Virginia, and on Fish Creek, near Jackson Hole, Wyoming, and estuary‐aquifer interaction on Waquoit Bay, Falmouth, Massachusetts. The ability to continuously observe temperature over large spatial scales with high spatial and temporal resolution provides a new opportunity to observe and monitor a wide range of hydrologic processes with application to other disciplines including hazards, climate‐change, and ecosystem monitoring.

  4. Losing Control in Social Situations: How the Presence of Others Affects Neural Processes Related to Sense of Agency.

    Science.gov (United States)

    Beyer, Frederike; Sidarus, Nura; Fleming, Stephen; Haggard, Patrick

    2018-01-01

    Social contexts substantially influence individual behavior, but little is known about how they affect cognitive processes related to voluntary action. Previously, it has been shown that social context reduces participants' sense of agency over the outcomes of their actions and outcome monitoring. In this fMRI study on human volunteers, we investigated the neural mechanisms by which social context alters sense of agency. Participants made costly actions to stop inflating a balloon before it burst. On "social" trials, another player could act in their stead, but we analyzed only trials in which the other player remained passive. We hypothesized that mentalizing processes during social trials would affect decision-making fluency and lead to a decreased sense of agency. In line with this hypothesis, we found increased activity in the bilateral temporo-parietal junction (TPJ), precuneus, and middle frontal gyrus during social trials compared with nonsocial trials. Activity in the precuneus was, in turn, negatively related to sense of agency at a single-trial level. We further found a double dissociation between TPJ and angular gyrus (AG): activity in the left AG was not sensitive to social context but was negatively related to sense of agency. In contrast, activity in the TPJ was modulated by social context but was not sensitive to sense of agency.

  5. Cognitive Radio for Smart Grid: Theory, Algorithms, and Security

    Directory of Open Access Journals (Sweden)

    Raghuram Ranganathan

    2011-01-01

    Full Text Available Recently, cognitive radio and smart grid are two areas which have received considerable research impetus. Cognitive radios are intelligent software defined radios (SDRs that efficiently utilize the unused regions of the spectrum, to achieve higher data rates. The smart grid is an automated electric power system that monitors and controls grid activities. In this paper, the novel concept of incorporating a cognitive radio network as the communications infrastructure for the smart grid is presented. A brief overview of the cognitive radio, IEEE 802.22 standard and smart grid, is provided. Experimental results obtained by using dimensionality reduction techniques such as principal component analysis (PCA, kernel PCA, and landmark maximum variance unfolding (LMVU on Wi-Fi signal measurements are presented in a spectrum sensing context. Furthermore, compressed sensing algorithms such as Bayesian compressed sensing and the compressed sensing Kalman filter is employed for recovering the sparse smart meter transmissions. From the power system point of view, a supervised learning method called support vector machine (SVM is used for the automated classification of power system disturbances. The impending problem of securing the smart grid is also addressed, in addition to the possibility of applying FPGA-based fuzzy logic intrusion detection for the smart grid.

  6. Design of the smart scenic spot service platform

    Science.gov (United States)

    Yin, Min; Wang, Shi-tai

    2015-12-01

    With the deepening of the smart city construction, the model "smart+" is rapidly developing. Guilin, the international tourism metropolis fast constructing need smart tourism technology support. This paper studied the smart scenic spot service object and its requirements. And then constructed the smart service platform of the scenic spot application of 3S technology (Geographic Information System (GIS), Remote Sensing (RS) and Global Navigation Satellite System (GNSS)) and the Internet of things, cloud computing. Based on Guilin Seven-star Park scenic area as an object, this paper designed the Seven-star smart scenic spot service platform framework. The application of this platform will improve the tourists' visiting experience, make the tourism management more scientifically and standardly, increase tourism enterprises operating earnings.

  7. Lessons Learned From Developing Three Generations of Remote Sensing Science Data Processing Systems

    Science.gov (United States)

    Tilmes, Curt; Fleig, Albert J.

    2005-01-01

    The Biospheric Information Systems Branch at NASA s Goddard Space Flight Center has developed three generations of Science Investigator-led Processing Systems for use with various remote sensing instruments. The first system is used for data from the MODIS instruments flown on NASA s Earth Observing Systems @OS) Terra and Aqua Spacecraft launched in 1999 and 2002 respectively. The second generation is for the Ozone Measuring Instrument flying on the EOS Aura spacecraft launched in 2004. We are now developing a third generation of the system for evaluation science data processing for the Ozone Mapping and Profiler Suite (OMPS) to be flown by the NPOESS Preparatory Project (NPP) in 2006. The initial system was based on large scale proprietary hardware, operating and database systems. The current OMI system and the OMPS system being developed are based on commodity hardware, the LINUX Operating System and on PostgreSQL, an Open Source RDBMS. The new system distributes its data archive across multiple server hosts and processes jobs on multiple processor boxes. We have created several instances of this system, including one for operational processing, one for testing and reprocessing and one for applications development and scientific analysis. Prior to receiving the first data from OMI we applied the system to reprocessing information from the Solar Backscatter Ultraviolet (SBUV) and Total Ozone Mapping Spectrometer (TOMS) instruments flown from 1978 until now. The system was able to process 25 years (108,000 orbits) of data and produce 800,000 files (400 GiB) of level 2 and level 3 products in less than a week. We will describe the lessons we have learned and tradeoffs between system design, hardware, operating systems, operational staffing, user support and operational procedures. During each generational phase, the system has become more generic and reusable. While the system is not currently shrink wrapped we believe it is to the point where it could be readily

  8. Added value products for imaging remote sensing by processing actual GNSS reflectometry delay doppler maps

    Science.gov (United States)

    Schiavulli, Domenico; Frappart, Frédéric; Ramilien, Guillaume; Darrozes, José; Nunziata, Ferdinando; Migliaccio, Maurizio

    2016-04-01

    Global Navigation Satellite System Reflectometry (GNSS-R) is an innovative and promising tool for remote sensing. It is based on the exploitation of GNSS signals reflected off Earth's surface as signals of opportunity to infer geophysical information of the reflecting surface. The main advantages of GNSS-R with respect dedicated sensors are: the unprecedented spatial-temporal coverage due to the availability of a great amount of transmitting satellite, e.g. GPS, Galileo, Glonass, etc…, long term GNSS mission life and cost effectiveness. In fact only a simple receiver is needed. In the last years several works demonstrated the meaningful of this technique in several Earth Observation applications. All these applications presented results obtained by using a receiver mounted on an aircraft or on a fixed platform. Moreover, space borne missions have been launched or are planned: UK-DMC, TechDemoSat-1 (TDS-1), NASA CYGNSS, Geros ISS. Practically, GNSS-R can be seen as a bistatic radar system where the GNSS satellites continuously transmit the L-band all-weather night-and-day signals that are reflected off a surface, called Glistening Zone (GZ), and a receiver measures the scattered microwave signals in terms of Delay-Doppler maps (DDMs) or delay waveforms. These two products have been widely studied in the literature to extract compact parameters for different remote sensing applications. However, products measured in the Delay Doppler (DD) domain are not able to provide any spatial information of the scattering scene. This could represent a drawback for applications related to imaging remote sensing, e.g. target detection, sea/land and sea/ice transition, oil spill detection, etc…. To overcome these limitations some deconvolution techniques have been proposed in the state of the art aiming at the reconstruction of a radar image of the observed scene by processing the measured DDMs. These techniques have been tested on DDMs related to simulated marine scenario

  9. THERMAL AND VISIBLE SATELLITE IMAGE FUSION USING WAVELET IN REMOTE SENSING AND SATELLITE IMAGE PROCESSING

    Directory of Open Access Journals (Sweden)

    A. H. Ahrari

    2017-09-01

    Full Text Available Multimodal remote sensing approach is based on merging different data in different portions of electromagnetic radiation that improves the accuracy in satellite image processing and interpretations. Remote Sensing Visible and thermal infrared bands independently contain valuable spatial and spectral information. Visible bands make enough information spatially and thermal makes more different radiometric and spectral information than visible. However low spatial resolution is the most important limitation in thermal infrared bands. Using satellite image fusion, it is possible to merge them as a single thermal image that contains high spectral and spatial information at the same time. The aim of this study is a performance assessment of thermal and visible image fusion quantitatively and qualitatively with wavelet transform and different filters. In this research, wavelet algorithm (Haar and different decomposition filters (mean.linear,ma,min and rand for thermal and panchromatic bands of Landast8 Satellite were applied as shortwave and longwave fusion method . Finally, quality assessment has been done with quantitative and qualitative approaches. Quantitative parameters such as Entropy, Standard Deviation, Cross Correlation, Q Factor and Mutual Information were used. For thermal and visible image fusion accuracy assessment, all parameters (quantitative and qualitative must be analysed with respect to each other. Among all relevant statistical factors, correlation has the most meaningful result and similarity to the qualitative assessment. Results showed that mean and linear filters make better fused images against the other filters in Haar algorithm. Linear and mean filters have same performance and there is not any difference between their qualitative and quantitative results.

  10. Smart grid security

    CERN Document Server

    Goel, Sanjay; Papakonstantinou, Vagelis; Kloza, Dariusz

    2015-01-01

    This book on smart grid security is meant for a broad audience from managers to technical experts. It highlights security challenges that are faced in the smart grid as we widely deploy it across the landscape. It starts with a brief overview of the smart grid and then discusses some of the reported attacks on the grid. It covers network threats, cyber physical threats, smart metering threats, as well as privacy issues in the smart grid. Along with the threats the book discusses the means to improve smart grid security and the standards that are emerging in the field. The second part of the b

  11. Smart Environment Program, Smart Way to Smart City

    Directory of Open Access Journals (Sweden)

    Tutik Rachmawati

    2017-06-01

    which play important role as the leading sectors of the smart environment program were the key resources of this research. The data were collected from 30 interviews. This research gave its reader a new perspective in understanding the concept and the practices of smart city in the public administration perspective.

  12. Smart dental practice: capitalising on smart mobile technology.

    Science.gov (United States)

    Plangger, K; Bredican, J; Mills, A J; Armstrong, J

    2015-08-14

    To keep pace with consumer adoption of smart mobile devices, such as smartphones and tablets, and the applications ('apps') developed for these devices, dental professionals should consider how this technology could be used to simultaneously improve both patient service experiences and dental practice management. Using U-Commerce as a theoretical lens, this article discusses the potential value of smart mobile technology to the dental practice context, with a particular focus on the unique and customisable capabilities of apps. To take full advantage of this technology, a process is outlined for identifying and designing bespoke dental apps that takes into account the unique advantages of these devices. Dental practices, with increasing financial and competitive pressures, may improve the efficiency and profitability of operations and better manage patients, employees and stakeholders by integrating smart mobile technology.

  13. From Smart Rooms to Smart Hotels

    OpenAIRE

    Petrevska, Biljana; Cingoski, Vlatko; Gelev, Saso

    2016-01-01

    This paper gives an overview of a potential path that new hotels have to satisfy to improve their status from a hotel with smart rooms towards a full-scale smart hotel facility. It presents a possible transitional way including innovative applications based on modern information technology for ambient settings in the domain of hotel industry that aims to improve the quality of offered services towards clients, starting from the present level of smart rooms. The main objective i...

  14. Interactive Research Processes on Sense of Identify in Andalusia by Means of Grounded Theory

    Directory of Open Access Journals (Sweden)

    Jaime Andréu Abela

    2009-07-01

    Full Text Available In this paper we present a model of interactive research using grounded theory. From our point of view, grounded theory is best understood as a framework that evolves in the course of a research project. In such a model there is no rigid or linear research trajectory; as researchers we chose options continually that best addressed the emerging hypotheses over the course of the investigation. It is possible to collect numerous kinds of data to generate grounded theory. For instance, as the research process unfolds we work out descriptions of the phenomena we are investigating, test hypotheses generated by deduction, construct tables, produce images for theory generation. This framework provides the theoretical background and analytical tools for a research study in several stages. We are a qualitative research group investigating "Processes and Sense of Identity in Andalusia." The key methodological tool in this investigation is the construction of analytical theories by working research groups. These groups interact in an open, flexible, sharing, mutual and egalitarian research environment, which led to the fluent exchange of ideas and the development of a significant understanding of identity. URN: urn:nbn:de:0114-fqs0902187

  15. Basic design report of SMART

    International Nuclear Information System (INIS)

    Chang, M. H.; Yeo, J. W.; Zee, Q. S.; Lee, D. J.; Park, K. B.; Koo, I. S.; Kim, H. C.; Kim, J. I.

    2002-03-01

    KAERI has been developing a 330MWt integral reactor, SMART and its application system since 1997. SMART is being developed for use as an energy source for small-scale power generation and seawater desalination. The SMART system can produce portable water of 40.000m 3 /day using the MED-TVC desalination process and about 90MW of electricity. Although the design of SMART is based on the current pressurized water reactor technology, new technologies such as inherent safety and passive safety have been applied, and system simplification and modularization, innovations in manufacturing and installation technologies have been implemented culminating in a design that has enhanced safety and economy, and is environment-friendly. The objective of this design report is to provide the overall information on the basic design of SMART NSSS, and the applied technologies. The information covers mainly NSSS design with some information on the desalination system. For the secondary system, only the information directly related to the coupling with NSSS are covered

  16. The process of dissemination of kung fu in west – between sense of loss and inevitability loss of sense

    Directory of Open Access Journals (Sweden)

    Fernando Dandoro Castilho Ferreira

    2017-07-01

    Full Text Available In this paper, we discuss aspects of the development process of Kung Fu in China and its subsequent spread to the West in the light of sociological theory of Norbert Elias. To meet this goal, we have structured the text into three parts. In the first, we present some elements of theory of Elias that are useful to study Kung Fu. In the second part of the article, in turn, bring some evidence about the Kung Fu diffusion process to the West, taking as a reading aid work “Shaolin Monastery” of Meir Shahar. The third and final part of the text, we suggest that the reception of Kung Fu in the West engenders a social process that combines elements of Chinese tradition and capitalist modernity, giving the practice a hybrid and ambiguous character.

  17. Smart Cutting Tools and Smart Machining: Development Approaches, and Their Implementation and Application Perspectives

    Science.gov (United States)

    Cheng, Kai; Niu, Zhi-Chao; Wang, Robin C.; Rakowski, Richard; Bateman, Richard

    2017-09-01

    Smart machining has tremendous potential and is becoming one of new generation high value precision manufacturing technologies in line with the advance of Industry 4.0 concepts. This paper presents some innovative design concepts and, in particular, the development of four types of smart cutting tools, including a force-based smart cutting tool, a temperature-based internally-cooled cutting tool, a fast tool servo (FTS) and smart collets for ultraprecision and micro manufacturing purposes. Implementation and application perspectives of these smart cutting tools are explored and discussed particularly for smart machining against a number of industrial application requirements. They are contamination-free machining, machining of tool-wear-prone Si-based infra-red devices and medical applications, high speed micro milling and micro drilling, etc. Furthermore, implementation techniques are presented focusing on: (a) plug-and-produce design principle and the associated smart control algorithms, (b) piezoelectric film and surface acoustic wave transducers to measure cutting forces in process, (c) critical cutting temperature control in real-time machining, (d) in-process calibration through machining trials, (e) FE-based design and analysis of smart cutting tools, and (f) application exemplars on adaptive smart machining.

  18. Spatial Indexing for Data Searching in Mobile Sensing Environments

    Directory of Open Access Journals (Sweden)

    Yuchao Zhou

    2017-06-01

    Full Text Available Data searching and retrieval is one of the fundamental functionalities in many Web of Things applications, which need to collect, process and analyze huge amounts of sensor stream data. The problem in fact has been well studied for data generated by sensors that are installed at fixed locations; however, challenges emerge along with the popularity of opportunistic sensing applications in which mobile sensors keep reporting observation and measurement data at variable intervals and changing geographical locations. To address these challenges, we develop the Geohash-Grid Tree, a spatial indexing technique specially designed for searching data integrated from heterogeneous sources in a mobile sensing environment. Results of the experiments on a real-world dataset collected from the SmartSantander smart city testbed show that the index structure allows efficient search based on spatial distance, range and time windows in a large time series database.

  19. Spatial Indexing for Data Searching in Mobile Sensing Environments.

    Science.gov (United States)

    Zhou, Yuchao; De, Suparna; Wang, Wei; Moessner, Klaus; Palaniswami, Marimuthu S

    2017-06-18

    Data searching and retrieval is one of the fundamental functionalities in many Web of Things applications, which need to collect, process and analyze huge amounts of sensor stream data. The problem in fact has been well studied for data generated by sensors that are installed at fixed locations; however, challenges emerge along with the popularity of opportunistic sensing applications in which mobile sensors keep reporting observation and measurement data at variable intervals and changing geographical locations. To address these challenges, we develop the Geohash-Grid Tree, a spatial indexing technique specially designed for searching data integrated from heterogeneous sources in a mobile sensing environment. Results of the experiments on a real-world dataset collected from the SmartSantander smart city testbed show that the index structure allows efficient search based on spatial distance, range and time windows in a large time series database.

  20. Smart Home Wireless Sensor Nodes

    DEFF Research Database (Denmark)

    Lynggaard, Per

    Smart homes are further development of intelligent buildings and home automation, where context awareness and autonomous behaviour are added. They are based on a combination of the Internet and emerging technologies like wireless sensor nodes. These wireless sensor nodes are challenging because....... This paper introduces an approach that considerably lowers the wireless sensor node power consumption and the amount of transmitted sensor events. It uses smart objects that include artificial intelligence to efficiently process the sensor event on location and thereby saves the costly wireless...

  1. Smart Home Wireless Sensor Nodes

    DEFF Research Database (Denmark)

    Lynggaard, Per

    . This paper introduces an approach that considerably lowers the wireless sensor node power consumption and the amount of transmitted sensor events. It uses smart objects that include artificial intelligence to efficiently process the sensor event on location and thereby saves the costly wireless......Smart homes are further development of intelligent buildings and home automation, where context awareness and autonomous behaviour are added. They are based on a combination of the Internet and emerging technologies like wireless sensor nodes. These wireless sensor nodes are challenging because...

  2. GEOSPATIAL INFORMATION FROM SATELLITE IMAGERY FOR GEOVISUALISATION OF SMART CITIES IN INDIA

    Directory of Open Access Journals (Sweden)

    M. Mohan

    2016-06-01

    Full Text Available In the recent past, there have been large emphasis on extraction of geospatial information from satellite imagery. The Geospatial information are being processed through geospatial technologies which are playing important roles in developing of smart cities, particularly in developing countries of the world like India. The study is based on the latest geospatial satellite imagery available for the multi-date, multi-stage, multi-sensor, and multi-resolution. In addition to this, the latest geospatial technologies have been used for digital image processing of remote sensing satellite imagery and the latest geographic information systems as 3-D GeoVisualisation, geospatial digital mapping and geospatial analysis for developing of smart cities in India. The Geospatial information obtained from RS and GPS systems have complex structure involving space, time and presentation. Such information helps in 3-Dimensional digital modelling for smart cities which involves of spatial and non-spatial information integration for geographic visualisation of smart cites in context to the real world. In other words, the geospatial database provides platform for the information visualisation which is also known as geovisualisation. So, as a result there have been an increasing research interest which are being directed to geospatial analysis, digital mapping, geovisualisation, monitoring and developing of smart cities using geospatial technologies. However, the present research has made an attempt for development of cities in real world scenario particulary to help local, regional and state level planners and policy makers to better understand and address issues attributed to cities using the geospatial information from satellite imagery for geovisualisation of Smart Cities in emerging and developing country, India.

  3. Smart hydrogel functional materials

    CERN Document Server

    Chu, Liang-Yin; Ju, Xiao-Jie

    2014-01-01

    This book systematically introduces smart hydrogel functional materials with the configurations ranging from hydrogels to microgels. It serves as an excellent reference for designing and fabricating artificial smart hydrogel functional materials.

  4. Multispectral remote sensing from unmanned aircraft: image processing workflows and applications for rangeland environments

    Science.gov (United States)

    Using unmanned aircraft systems (UAS) as remote sensing platforms offers the unique ability for repeated deployment for acquisition of high temporal resolution data at very high spatial resolution. Most image acquisitions from UAS have been in the visible bands, while multispectral remote sensing ap...

  5. Approach for smart application to desalination and power generation

    International Nuclear Information System (INIS)

    Chang Moon Hee; Kim Si-Hwan

    1998-01-01

    A 330 MWt integral reactor, SMART, and an integrated nuclear seawater desalination system coupled with SMART are currently under conceptual development at KAERI. The SMART will provide energy to the desalination system either in the form of heat or electricity, or both. The integrated nuclear desalination system aims to produce about 40,000 m 3 /day potable water from seawater for demonstration purposes. The remaining energy produced by SMART will be converted into electrical energy. Several important factors are especially considered in the process of SMART and its application system development. The development emphasizes the adoption of technically proven and advanced technology, measures to secure the safety and reliability of the reactor system, consideration of the desalination process for coupling with SMART, a licensing strategy for SMART and the integrated nuclear desalination system, and international cooperation for promoting nuclear desalination with the SMART development program. The current effort to establish the concept of SMART and its application for desalination is being pursued intensively to secure the safety and reliability of SMART, to prove the implemented concepts/technology considering the coupling with the desalination process, and to formulate an optimum licensing approach. This paper aims to present the technical and strategic approach of SMART and its application system. (author)

  6. Remote Sensing Image Enhancement Based on Non-subsampled Shearlet Transform and Parameterized Logarithmic Image Processing Model

    Directory of Open Access Journals (Sweden)

    TAO Feixiang

    2015-08-01

    Full Text Available Aiming at parts of remote sensing images with dark brightness and low contrast, a remote sensing image enhancement method based on non-subsampled Shearlet transform and parameterized logarithmic image processing model is proposed in this paper to improve the visual effects and interpretability of remote sensing images. Firstly, a remote sensing image is decomposed into a low-frequency component and high frequency components by non-subsampled Shearlet transform.Then the low frequency component is enhanced according to PLIP (parameterized logarithmic image processing model, which can improve the contrast of image, while the improved fuzzy enhancement method is used to enhance the high frequency components in order to highlight the information of edges and details. A large number of experimental results show that, compared with five kinds of image enhancement methods such as bidirectional histogram equalization method, the method based on stationary wavelet transform and the method based on non-subsampled contourlet transform, the proposed method has advantages in both subjective visual effects and objective quantitative evaluation indexes such as contrast and definition, which can more effectively improve the contrast of remote sensing image and enhance edges and texture details with better visual effects.

  7. Low-Power Analog Processing for Sensing Applications: Low-Frequency Harmonic Signal Classification

    Directory of Open Access Journals (Sweden)

    Sina Balkir

    2013-07-01

    Full Text Available A low-power analog sensor front-end is described that reduces the energy required to extract environmental sensing spectral features without using Fast Fouri´er Transform (FFT or wavelet transforms. An Analog Harmonic Transform (AHT allows selection of only the features needed by the back-end, in contrast to the FFT, where all coefficients must be calculated simultaneously. We also show that the FFT coefficients can be easily calculated from the AHT results by a simple back-substitution. The scheme is tailored for low-power, parallel analog implementation in an integrated circuit (IC. Two different applications are tested with an ideal front-end model and compared to existing studies with the same data sets. Results from the military vehicle classification and identification of machine-bearing fault applications shows that the front-end suits a wide range of harmonic signal sources. Analog-related errors are modeled to evaluate the feasibility of and to set design parameters for an IC implementation to maintain good system-level performance. Design of a preliminary transistor-level integrator circuit in a 0:µm complementary metal-oxide-silicon (CMOS integrated circuit process showed the ability to use online self-calibration to reduce fabrication errors to a sufficiently low level. Estimated power dissipation is about three orders of magnitude less than similar vehicle classification systems that use commercially available FFT spectral extraction.

  8. Application of taste sensing system for characterisation of enzymatic hydrolysates from shrimp processing by-products.

    Science.gov (United States)

    Cheung, Imelda W Y; Li-Chan, Eunice C Y

    2014-02-15

    The objective of this study was to investigate the potential of an instrumental taste-sensing system to distinguish between shrimp processing by-products hydrolysates produced using different proteases and hydrolysis conditions, and the possible association of taste sensor outputs with human gustatory assessment, salt content, and bioactivity. Principal component analysis of taste sensor output data categorised samples according to the proteases used for hydrolysis. High umami sensor outputs were characteristic of bromelain- and Flavourzyme-produced hydrolysates, compared to low saltiness and high bitterness outputs of Alcalase-produced hydrolysates, and high saltiness and low umami outputs of Protamex-produced hydrolysates. Extensively hydrolysed samples showed higher sourness outputs. Saltiness sensor outputs were correlated with conductivity and sodium content, while umami sensor responses were related to gustatory sweetness, bitterness and umami, as well as angiotensin-I converting enzyme inhibitory activity. Further research should explore the dose dependence and sensitivity of each taste sensor to specific amino acids and peptides. Copyright © 2013 Elsevier Ltd. All rights reserved.

  9. Smart City project

    KAUST Repository

    Al Harbi, Ayman

    2018-01-24

    A \\'smart city\\' is an urban region that is highly advanced in terms of overall infrastructure, sustainable real estate, communications and market viability. It is a city where information technology is the principal infrastructure and the basis for providing essential services to residents. Yanbu Industrial City- Smart City Project - First large scale smart city in The kingdom.

  10. Smart Structures and Materials

    Indian Academy of Sciences (India)

    A structure is an assembly that serves an engineering function. It is reasonable to expect that all engineering design should be smart, and not dumb. But one can still make a distinction between smartly designed structures and smart structures. The latter term has acquired a specific technical meaning over the last few ...

  11. Smart Cities and the Idea of Smartness in Urban Development - A Critical Review

    Science.gov (United States)

    Husár, Milan; Ondrejička, Vladimír; Ceren Varış, Sıla

    2017-10-01

    The concept of smart cities is becoming another mantra for both developing and developed cities. For instance, Indian government in 2015 announced its objective to build one hundred smart cities all over the country. They clearly stated that they are choosing smart development as the underlying concept for their future growth as a way to foster economic development in smart way to avoid the paths of rapid industrialization and pollution of cities as it took place in Europe and United States. The first of these smart cities, Dholera, is already under construction and it attracts journalists and urban planners from all over the world. The aim of this paper is to critically discuss the theoretical backgrounds and the practices of smart cities and examine the ways the concept is implemented. The paper is based on thorough study of literature and examining the two case studies of Dholera (India) and Songdo (South Korea). Smart city is a contested concept without a unified definition. It stems from the idea of digital and information city promoted using information and communication technologies (ICT) to develop cities. By installation of ICT municipalities obtain large sets of data which are then transformed into effective urban policies. One of the pilot projects of this kind was Rio de Janeiro and building the Center of Operations by IBM Company. City made a great investment into the smart information system before two huge events took place - FIFA World Cup in 2014 and Olympic Games in 2016. The project raised many questions including whether and how it improved the life of its citizens and in what way it made the city smart. The other definition of smart city is the idea of smartness in city development in broader sense. It focuses on smart use of resources, smart and effective management and smart social inclusion. Within this view, the ICTs are one component of the concept, by no means its bread and butter. Technologies can be used in a variety of ways. Problem

  12. 2017 SmartWay Logistics Tool Demonstration

    Science.gov (United States)

    This EPA presentation provides information on the SmartWay Logistics Carrier Tool: its background and development, participation in the program, application process, emission metrics, tool demonstration, data collection, and schedule for 2017.

  13. A Smart Home Center Platform Solution Based on Smart Mirror

    OpenAIRE

    Deng Xibo; Peng Zhiran; Wu Wenquan

    2017-01-01

    With the popularization of the concept of smart home, people have raised requirements on the experience of smart living. A smart home platform center solution is put forward in order to solve the intelligent interoperability and information integration of smart home, which enable people to have a more intelligent and convenient life experience. This platform center is achieved through the Smart Mirror. The Smart Mirror refers to a smart furniture, on the basis of the traditional concept of mi...

  14. Smart Chips for Smart Surroundings -- 4S

    NARCIS (Netherlands)

    Schuler, Eberhard; König, Ralf; Becker, Jürgen; Rauwerda, G.K.; van de Burgwal, M.D.; Smit, Gerardus Johannes Maria; Cardoso, João M.P.; Hübner, Michael

    2011-01-01

    The overall mission of the 4S project (Smart Chips for Smart Surroundings) was to define and develop efficient flexible, reconfigurable core building blocks, including the supporting tools, for future Ambient System Devices. Reconfigurability offers the needed flexibility and adaptability, it

  15. The Remote Sensing and Measurement of Melting Processes on Greenland and Antarctica

    Science.gov (United States)

    Steiner, Nicholas

    We report measurements of melt-related processes for Antarctic and Greenland made using novel remote sensing algorithms and in-situ measurement techniques. First, persistent melting is mapped over Antarctica at high resolution using a novel melt-detection algorithm, based on wavelet-theory and multiscale analysis for the duration of the QuikSCAT satellite record (1999 through 2009). This novel approach is compared with threshold based methods, where melting is detected at 3dB below the winter mean backscatter, indicating an agreement to within 7 percent accuracy in yearly melt index [days-km2] and within 10 percent accuracy based automated weather station (AWS) comparisons due to the omission of short-duration melting events. In further comparison with Special Sensor Microwave/Image (SSMI) melting records, a higher degree of agreement (9 percent relative difference) is obtained by employing the wavelet-based approach than threshold-based (11 percent relative difference) methods. Secondly, we assess the validity of remote sensing based multispectral bathymetry from the analysis of concurrent in-situ multi-spectral and depth measurements collected over a supraglacial lake during early July 2010 in West Greenland (Lake Olivia, 69º36'35"N, 49º29'40"W). In particular, we evaluate lake bottom albedo and the water attenuation coefficient. Analysis of in-situ data (using a remotely controlled boat equipped with a GPS, sonar and a spectrometer) illustrates the exponential trend of the water-leaving reflectance with lake depth. The attenuation factors obtained are compared with those proposed in the literature. Finally, measured ablation rates at the bottom of the two lakes, collected during the summers of 2010 and 2011, are on the order of ˜ 6 cm/day, versus a rate of ˜ 2.5 - 3 cm/day in the case of bare ice of surrounding areas. These measurements are compared with a thermodynamic model forced with the outputs of a regional climate model. In general, the model is able

  16. Smart City: aspetti geomatici di un paradigma “fuzzy”

    Directory of Open Access Journals (Sweden)

    Andrea Fiduccia

    2013-02-01

    Full Text Available Il concetto di Smart City viene proposto con molte varianti non sempre tra loro coerenti. Ne sceglieremol’accezione che propone la possibilità di una migliore qualità della vita negli spazi urbani rimpiazzandone lacaotica complessità con innovazioni tecnologiche per realizzare i nostri progetti di lavoro e di vita. All’interno delparadigma ci concentreremo sugli specifici aspetti del segmento disciplinare della geomatica. Smart City: geomatics aspects of afuzzy paradigm The label smart city is still quite a fuzzyconcept and is used in ways that arenot always consistent. We endorsethe definition that “a city can be definedas ‘smart’ when investments inhuman and social capital and traditional(transport and modern (ICTcommunication infrastructure fuelsustainable economic developmentand a high quality of life, with a wisemanagement of natural resources,through participatory governance”.Geomatics provides a set of conceptsand tools for the planningand management of Smart Cities(City Sensing,City Model, ProximalSensing, WIKI Sensing, etc. The IntegratedOperations Center (IOCis the foundation using geographictechnologies to join Smart City withSafe City. Smart Grid Systems are away to make operational the urbansosteneability in the energy sector.Some Intergraph’s technologies areused as examples of the contributionof geomatics in the implementationof Smart City paradigm.

  17. Mobile Sensing Systems

    Science.gov (United States)

    Macias, Elsa; Suarez, Alvaro; Lloret, Jaime

    2013-01-01

    Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular… Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high. PMID:24351637

  18. Mobile Sensing Systems

    Directory of Open Access Journals (Sweden)

    Elsa Macias

    2013-12-01

    Full Text Available Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular… Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high.

  19. Monitoring Biogeochemical Processes in Coral Reef Environments with Remote Sensing: A Cross-Disciplinary Approach.

    Science.gov (United States)

    Perez, D.; Phinn, S. R.; Roelfsema, C. M.; Shaw, E. C.; Johnston, L.; Iguel, J.; Camacho, R.

    2017-12-01

    Primary production and calcification are important to measure and monitor over time, because of their fundamental roles in the carbon cycling and accretion of habitat structure for reef ecosystems. However, monitoring biogeochemical processes in coastal environments has been difficult due to complications in resolving differences in water optical properties from biological productivity and other sources (sediment, dissolved organics, etc.). This complicates application of algorithms developed for satellite image data from open ocean conditions, and requires alternative approaches. This project applied a cross-disciplinary approach, using established methods for monitoring productivity in terrestrial environments to coral reef systems. Availability of regularly acquired high spatial (reefs. There is potential to further develop optical models for remote sensing applications to estimate and monitor reef system processes, such as primary productivity and calcification. This project collected field measurements of spectral absorptance and primary productivity and calcification rates for two reef systems: Heron Reef, southern Great Barrier Reef and Saipan Lagoon, Commonwealth of the Northern Mariana Islands. Field data were used to parameterize a light-use efficiency (LUE) model, estimating productivity from absorbed photosynthetically active radiation. The LUE model has been successfully applied in terrestrial environments for the past 40 years, and could potentially be used in shallow, marine environments. The model was used in combination with a map of benthic community composition produced from objective based image analysis of WorldView 2 imagery. Light-use efficiency was measured for functional groups: coral, algae, seagrass, and sediment. However, LUE was overestimated for sediment, which led to overestimation of productivity for the mapped area. This was due to differences in spatial and temporal resolution of field data used in the model. The limitations and

  20. Integrative solutions for intelligent energy management. Smart metering, smart home, smart grid; Integrative Loesungsansaetze fuer ein intelligentes Energiemanagement. Smart Metering, Smart Home and Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Jungfleisch, Achim [Hager Vertriebsgesellschaft mbH und Co. KG, Blieskastel (Germany). Marketing

    2011-07-01

    Smart Metering, Smart Home, Smart Grid - these key words significantly determine the current debate about intelligent energy management, or new energy concepts. The author of the contribution under consideration describes the interactions between Smart Metering, Smart Home and Smart Grids and the technical connection of these interactions. Thus, the compact tebis KNX demovea server connects Windows computer and the Internet with the building automation based on KNX. The technically simple combination of smart metering and smart home via Hager radio tower of the building automation provides an access to key energy data for an intelligent load management.

  1. Smart CMOS sensor for wideband laser threat detection

    Science.gov (United States)

    Schwarze, Craig R.; Sonkusale, Sameer

    2015-09-01

    The proliferation of lasers has led to their widespread use in applications ranging from short range standoff chemical detection to long range Lidar sensing and target designation operating across the UV to LWIR spectrum. Recent advances in high energy lasers have renewed the development of laser weapons systems. The ability to measure and assess laser source information is important to both identify a potential threat as well as determine safety and nominal hazard zone (NHZ). Laser detection sensors are required that provide high dynamic range, wide spectral coverage, pulsed and continuous wave detection, and large field of view. OPTRA, Inc. and Tufts have developed a custom ROIC smart pixel imaging sensor architecture and wavelength encoding optics for measurement of source wavelength, pulse length, pulse repetition frequency (PRF), irradiance, and angle of arrival. The smart architecture provides dual linear and logarithmic operating modes to provide 8+ orders of signal dynamic range and nanosecond pulse measurement capability that can be hybridized with the appropriate detector array to provide UV through LWIR laser sensing. Recent advances in sputtering techniques provide the capability for post-processing CMOS dies from the foundry and patterning PbS and PbSe photoconductors directly on the chip to create a single monolithic sensor array architecture for measuring sources operating from 0.26 - 5.0 microns, 1 mW/cm2 - 2 kW/cm2.

  2. Highly Sensitive and Selective Sensing of Free Bilirubin Using Metal-Organic Frameworks-Based Energy Transfer Process.

    Science.gov (United States)

    Du, Yaran; Li, Xiqian; Lv, Xueju; Jia, Qiong

    2017-09-13

    Free bilirubin, a key biomarker for jaundice, was detected with a newly designed fluorescent postsynthetically modified metal organic framework (MOF) (UIO-66-PSM) sensor. UiO-66-PSM was prepared based on the aldimine condensation reaction of UiO-66-NH 2 with 2,3,4-trihydroxybenzaldehyde. The fluorescence of UIO-66-PSM could be effectively quenched by free bilirubin via a fluorescent resonant energy transfer process, thus achieving its recognition of free bilirubin. It was the first attempt to design a MOF-based fluorescent probe for sensing free bilirubin. The probe exhibited fast response time, low detection limit, wide linear range, and high selectivity toward free bilirubin. The sensing system enabled the monitor of free bilirubin in real human serum. Hence, the reported free bilirubin sensing platform has potential applications for clinical diagnosis of jaundice.

  3. SmartCampusAAU

    DEFF Research Database (Denmark)

    Hansen, Rene; Thomsen, Bent; Thomsen, Lone Leth

    2013-01-01

    This paper describes SmartCampusAAU - an open, extendable platform that supports the easy creation of indoor location based systems. SmartCampusAAU offers an app and backend that can be used to enable indoor positioning and navigation in any building. The SmartCampusAAU app is available on all ma...... major mobile platforms (Android, iPhone and Windows Phone) and supports both device- and infrastructure-based positioning. SmartCampusAAU also offers a publicly available OData backend that allows researchers to share radio map and location tracking data.......This paper describes SmartCampusAAU - an open, extendable platform that supports the easy creation of indoor location based systems. SmartCampusAAU offers an app and backend that can be used to enable indoor positioning and navigation in any building. The SmartCampusAAU app is available on all...

  4. Conceptualizing smart service systems

    DEFF Research Database (Denmark)

    Beverungen, Daniel; Müller, Oliver; Matzner, Martin

    2017-01-01

    Recent years have seen the emergence of physical products that are digitally networked with other products and with information systems to enable complex business scenarios in manufacturing, mobility, or healthcare. These “smart products”, which enable the co-creation of “smart service......” that is based on monitoring, optimization, remote control, and autonomous adaptation of products, profoundly transform service systems into what we call “smart service systems”. In a multi-method study that includes conceptual research and qualitative data from in-depth interviews, we conceptualize “smart...... service” and “smart service systems” based on using smart products as boundary objects that integrate service consumers’ and service providers’ resources and activities. Smart products allow both actors to retrieve and to analyze aggregated field evidence and to adapt service systems based on contextual...

  5. CMOS compatible fabrication process of MEMS resonator for timing reference and sensing application

    Science.gov (United States)

    Huynh, Duc H.; Nguyen, Phuong D.; Nguyen, Thanh C.; Skafidas, Stan; Evans, Robin

    2015-12-01

    Frequency reference and timing control devices are ubiquitous in electronic applications. There is at least one resonator required for each of this device. Currently electromechanical resonators such as crystal resonator, ceramic resonator are the ultimate choices. This tendency will probably keep going for many more years. However, current market demands for small size, low power consumption, cheap and reliable products, has divulged many limitations of this type of resonators. They cannot be integrated into standard CMOS (Complement metaloxide- semiconductor) IC (Integrated Circuit) due to material and fabrication process incompatibility. Currently, these devices are off-chip and they require external circuitries to interface with the ICs. This configuration significantly increases the overall size and cost of the entire electronic system. In addition, extra external connection, especially at high frequency, will potentially create negative impacts on the performance of the entire system due to signal degradation and parasitic effects. Furthermore, due to off-chip packaging nature, these devices are quite expensive, particularly for high frequency and high quality factor devices. To address these issues, researchers have been intensively studying on an alternative for type of resonator by utilizing the new emerging MEMS (Micro-electro-mechanical systems) technology. Recent progress in this field has demonstrated a MEMS resonator with resonant frequency of 2.97 GHz and quality factor (measured in vacuum) of 42900. Despite this great achievement, this prototype is still far from being fully integrated into CMOS system due to incompatibility in fabrication process and its high series motional impedance. On the other hand, fully integrated MEMS resonator had been demonstrated but at lower frequency and quality factor. We propose a design and fabrication process for a low cost, high frequency and a high quality MEMS resonator, which can be integrated into a standard

  6. Switchable Materials for Smart Windows.

    Science.gov (United States)

    Wang, Yang; Runnerstrom, Evan L; Milliron, Delia J

    2016-06-07

    This article reviews the basic principles of and recent developments in electrochromic, photochromic, and thermochromic materials for applications in smart windows. Compared with current static windows, smart windows can dynamically modulate the transmittance of solar irradiation based on weather conditions and personal preferences, thus simultaneously improving building energy efficiency and indoor human comfort. Although some smart windows are commercially available, their widespread implementation has not yet been realized. Recent advances in nanostructured materials provide new opportunities for next-generation smart window technology owing to their unique structure-property relations. Nanomaterials can provide enhanced coloration efficiency, faster switching kinetics, and longer lifetime. In addition, their compatibility with solution processing enables low-cost and high-throughput fabrication. This review also discusses the importance of dual-band modulation of visible and near-infrared (NIR) light, as nearly 50% of solar energy lies in the NIR region. Some latest results show that solution-processable nanostructured systems can selectively modulate the NIR light without affecting the visible transmittance, thus reducing energy consumption by air conditioning, heating, and artificial lighting.

  7. Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing.

    Science.gov (United States)

    Feng, X; Liu, G; Chen, J M; Chen, M; Liu, J; Ju, W M; Sun, R; Zhou, W

    2007-11-01

    The terrestrial carbon cycle is one of the foci in global climate change research. Simulating net primary productivity (NPP) of terrestrial ecosystems is important for carbon cycle research. In this study, China's terrestrial NPP was simulated using the Boreal Ecosystem Productivity Simulator (BEPS), a carbon-water coupled process model based on remote sensing inputs. For these purposes, a national-wide database (including leaf area index, land cover, meteorology, vegetation and soil) at a 1 km resolution and a validation database were established. Using these databases and BEPS, daily maps of NPP for the entire China's landmass in 2001 were produced, and gross primary productivity (GPP) and autotrophic respiration (RA) were estimated. Using the simulated results, we explore temporal-spatial patterns of China's terrestrial NPP and the mechanisms of its responses to various environmental factors. The total NPP and mean NPP of China's landmass were 2.235 GtC and 235.2 gCm(-2)yr(-1), respectively; the total GPP and mean GPP were 4.418 GtC and 465 gCm(-2)yr(-1); and the total RA and mean RA were 2.227 GtC and 234 gCm(-2)yr(-1), respectively. On average, NPP was 50.6% of GPP. In addition, statistical analysis of NPP of different land cover types was conducted, and spatiotemporal patterns of NPP were investigated. The response of NPP to changes in some key factors such as LAI, precipitation, temperature, solar radiation, VPD and AWC are evaluated and discussed.

  8. Model-Driven Methodology for Rapid Deployment of Smart Spaces Based on Resource-Oriented Architectures

    Directory of Open Access Journals (Sweden)

    José R. Casar

    2012-07-01

    Full Text Available Advances in electronics nowadays facilitate the design of smart spaces based on physical mash-ups of sensor and actuator devices. At the same time, software paradigms such as Internet of Things (IoT and Web of Things (WoT are motivating the creation of technology to support the development and deployment of web-enabled embedded sensor and actuator devices with two major objectives: (i to integrate sensing and actuating functionalities into everyday objects, and (ii to easily allow a diversity of devices to plug into the Internet. Currently, developers who are applying this Internet-oriented approach need to have solid understanding about specific platforms and web technologies. In order to alleviate this development process, this research proposes a Resource-Oriented and Ontology-Driven Development (ROOD methodology based on the Model Driven Architecture (MDA. This methodology aims at enabling the development of smart spaces through a set of modeling tools and semantic technologies that support the definition of the smart space and the automatic generation of code at hardware level. ROOD feasibility is demonstrated by building an adaptive health monitoring service for a Smart Gym.

  9. Model-Driven Methodology for Rapid Deployment of Smart Spaces Based on Resource-Oriented Architectures

    Science.gov (United States)

    Corredor, Iván; Bernardos, Ana M.; Iglesias, Josué; Casar, José R.

    2012-01-01

    Advances in electronics nowadays facilitate the design of smart spaces based on physical mash-ups of sensor and actuator devices. At the same time, software paradigms such as Internet of Things (IoT) and Web of Things (WoT) are motivating the creation of technology to support the development and deployment of web-enabled embedded sensor and actuator devices with two major objectives: (i) to integrate sensing and actuating functionalities into everyday objects, and (ii) to easily allow a diversity of devices to plug into the Internet. Currently, developers who are applying this Internet-oriented approach need to have solid understanding about specific platforms and web technologies. In order to alleviate this development process, this research proposes a Resource-Oriented and Ontology-Driven Development (ROOD) methodology based on the Model Driven Architecture (MDA). This methodology aims at enabling the development of smart spaces through a set of modeling tools and semantic technologies that support the definition of the smart space and the automatic generation of code at hardware level. ROOD feasibility is demonstrated by building an adaptive health monitoring service for a Smart Gym. PMID:23012544

  10. Microencapsulation of Corrosion Indicators for Smart Coatings

    Science.gov (United States)

    Li, Wenyan; Buhrow, Jerry W.; Jolley, Scott T.; Calle, Luz M.; Hanna,Joshua S.; Rawlins, James W.

    2011-01-01

    A multifunctional smart coating for the autonomous detection, indication, and control of corrosion is been developed based on microencapsulation technology. This paper summarizes the development, optimization, and testing of microcapsules specifically designed for early detection and indication of corrosion when incorporated into a smart coating. Results from experiments designed to test the ability of the microcapsules to detect and indicate corrosion, when blended into several paint systems, show that these experimental coatings generate a color change, indicative of spot specific corrosion events, that can be observed with the naked eye within hours rather than the hundreds of hours or months typical of the standard accelerated corrosion test protocols.. Key words: smart coating, corrosion detection, microencapsulation, microcapsule, pH-sensitive microcapsule, corrosion indicator, corrosion sensing paint

  11. Fiber-wireless for smart grid: A survey

    Science.gov (United States)

    Radzi, NAM; Ridwan, MA; Din, NM; Abdullah, F.; Mustafa, IS; l-Mansoori, MH

    2017-11-01

    Smart grid allows two-way communication between power utility companies and their customers while having the ability to sense along the transmission lines. However, the downside is such, when the smart devices are transmitting data simultaneously, it results in network congestion. Fiber wireless (FiWi) network is one of the best congestion solutions for smart grid up to date. In this paper, a survey of current literature on FiWi for smart grid will be reviewed and a testbed to test the protocols and algorithms for FiWi in smart grid will be proposed. The results of number of packets received and delay vs packet transmitted obtained via the testbed are compared with the results obtained via simulation and they show that they are in line with each other, validating the accuracy of the testbed.

  12. ASPIE: A Framework for Active Sensing and Processing of Complex Events in the Internet of Manufacturing Things

    Directory of Open Access Journals (Sweden)

    Shaobo Li

    2018-03-01

    Full Text Available Rapid perception and processing of critical monitoring events are essential to ensure healthy operation of Internet of Manufacturing Things (IoMT-based manufacturing processes. In this paper, we proposed a framework (active sensing and processing architecture (ASPIE for active sensing and processing of critical events in IoMT-based manufacturing based on the characteristics of IoMT architecture as well as its perception model. A relation model of complex events in manufacturing processes, together with related operators and unified XML-based semantic definitions, are developed to effectively process the complex event big data. A template based processing method for complex events is further introduced to conduct complex event matching using the Apriori frequent item mining algorithm. To evaluate the proposed models and methods, we developed a software platform based on ASPIE for a local chili sauce manufacturing company, which demonstrated the feasibility and effectiveness of the proposed methods for active perception and processing of complex events in IoMT-based manufacturing.

  13. Considerations and techniques for incorporating remotely sensed imagery into the land resource management process.

    Science.gov (United States)

    Brooner, W. G.; Nichols, D. A.

    1972-01-01

    Development of a scheme for utilizing remote sensing technology in an operational program for regional land use planning and land resource management program applications. The scheme utilizes remote sensing imagery as one of several potential inputs to derive desired and necessary data, and considers several alternative approaches to the expansion and/or reduction and analysis of data, using automated data handling techniques. Within this scheme is a five-stage program development which includes: (1) preliminary coordination, (2) interpretation and encoding, (3) creation of data base files, (4) data analysis and generation of desired products, and (5) applications.

  14. The Salient Map Analysis for Research and Teaching (SMART) method: Powerful potential as a formative assessment in the biomedical sciences

    Science.gov (United States)

    Cathcart, Laura Anne

    This dissertation consists of two studies: 1) development and characterization of the Salient Map Analysis for Research and Teaching (SMART) method as a formative assessment tool and 2) a case study exploring how a paramedic instructor's beliefs about learners affect her utilization of the SMART method and vice versa. The first study explored: How can a novel concept map analysis method be designed as an effective formative assessment tool? The SMART method improves upon existing concept map analysis methods because it does not require hierarchically structured concept maps and it preserves the rich content of the maps instead of reducing each map down to a numerical score. The SMART method is performed by comparing a set of students' maps to each other and to an instructor's map. The resulting composite map depicts, in percentages and highlighted colors, the similarities and differences between all of the maps. Some advantages of the SMART method as a formative assessment tool include its ability to highlight changes across time, problematic or alternative conceptions, and patterns of student responses at a glance. Study two explored: How do a paramedic instructor's beliefs about students and learning affect---and become affected by---her use of the SMART method as a formative assessment tool? This case study of Angel, an expert paramedic instructor, begins to address a gap in the emergency medical services (EMS) education literature, which contains almost no research on teachers or pedagogy. Angel and I worked together as participant co-researchers (Heron & Reason, 1997) exploring the affordances of the SMART method. This study, based on those interactions with Angel, involved using open coding to identify themes (Strauss & Corbin, 1998) from Angel's views of students and use of the SMART method. Angel views learning as a sense-making process. She has a multi-faceted view of her students as novices and invests substantial time trying to understand their concept

  15. 78 FR 9678 - Multi-stakeholder Process To Develop a Voluntary Code of Conduct for Smart Grid Data Privacy

    Science.gov (United States)

    2013-02-11

    .... ACTION: Notice of Open Meeting. SUMMARY: The U.S. Department of Energy, Office of Electricity Delivery... Privacy and Promoting Innovation in the Global Digital Economy \\2\\ (Privacy Blueprint). The Privacy... discussions concerning the development of a VCC and will engage stakeholders in an open, transparent process...

  16. Mining structural and behavioral patterns in smart malware

    OpenAIRE

    Suárez de Tangil Rotaeche, Guillermo Nicolás

    2014-01-01

    Mención Internacional en el título de doctor Funcas. Premio Enrique Fuentes Quintana 2016. Smart devices equipped with powerful sensing, computing and networking capabilities have proliferated lately, ranging from popular smartphones and tablets to Internet appliances, smart TVs, and others that will soon appear (e.g., watches, glasses, and clothes). One key feature of such devices is their ability to incorporate third-party apps from a variety of markets. This poses strong ...

  17. Ubiquitous Wireless Smart Sensing and Control

    Science.gov (United States)

    Wagner, Raymond

    2013-01-01

    Need new technologies to reliably and safely have humans interact within sensored environments (integrated user interfaces, physical and cognitive augmentation, training, and human-systems integration tools). Areas of focus include: radio frequency identification (RFID), motion tracking, wireless communication, wearable computing, adaptive training and decision support systems, and tele-operations. The challenge is developing effective, low cost/mass/volume/power integrated monitoring systems to assess and control system, environmental, and operator health; and accurately determining and controlling the physical, chemical, and biological environments of the areas and associated environmental control systems.

  18. Internet of Things based on smart objects technology, middleware and applications

    CERN Document Server

    Trunfio, Paolo

    2014-01-01

    The Internet of Things (IoT) usually refers to a world-wide network of interconnected heterogeneous objects (sensors, actuators, smart devices, smart objects, RFID, embedded computers, etc) uniquely addressable, based on standard communication protocols. Beyond such a definition, it is emerging a new definition of IoT seen as a loosely coupled, decentralized system of cooperating smart objects (SOs). A SO is an autonomous, physical digital object augmented with sensing/actuating, processing, storing, and networking capabilities. SOs are able to sense/actuate, store, and interpret information created within themselves and around the neighbouring external world where they are situated, act on their own, cooperate with each other, and exchange information with other kinds of electronic devices and human users. However, such SO-oriented IoT raises many in-the-small and in-the-large issues involving SO programming, IoT system architecture/middleware and methods/methodologies for the development of SO-based applica...

  19. Image Processing Tools for Improved Visualization and Analysis of Remotely Sensed Images for Agriculture and Forest Classifications

    OpenAIRE

    SINHA G. R.

    2017-01-01

    This paper suggests Image Processing tools for improved visualization and better analysis of remotely sensed images. There are methods already available in literature for the purpose but the most important challenge among the limitations is lack of robustness. We propose an optimal method for image enhancement of the images using fuzzy based approaches and few optimization tools. The segmentation images subsequently obtained after de-noising will be classified into distinct information and th...

  20. Photonic crystal fiber as lab-in-fiber optofluidic platform for sensing and process monitoring

    Science.gov (United States)

    Tian, Fei

    The ability to design and fabricate photonic crystal fiber (PCF) of vastly different microstructural and optical characteristics is arguably one of the most significant recent advances in the field of fiber optics. This dissertation aims to advance the PCF research frontier by exploring long-period fiber gratings (LPG) inscribed in PCF for sensing and process monitoring via combined numerical and experimental investigation. Specifically, a mode solver based on the Finite Element Method (FEM) has been employed to calculate the mode field distribution, the phase matching condition, and the dispersive characteristics associated with LPG-induced coupling of the fundamental core mode (LP01) to various cladding modes (LPmn, m=0,1; n=2,3, ...) in an endlessly single mode PCF. The numerical results have been used to guide the design and fabrication of LPG in PCF by CO2 laser inscription to maximize index sensitivity in gas or liquid medium. Cascaded PCF-LPG has been fabricated and shown to exhibit record sensitivity in excess of 1700 nm/RIU with high resolution for index measurements of gas phase. The inherent interference fringes in the transmission spectrum of cascaded PCF-LPG have been utilized to analyze mode coupling behaviour. In addition, we have developed and implemented a reflective mirror-aided method to allow symmetrical CO2 laser irradiation of PCF during LPG inscription. Both numerical analysis and experimental measurements have shown significantly improved mode coupling behaviour, mode field distribution, as well as reproducibility in LPG fabrication, critical for practical exploitation of the PCF-LPG platform. We have further exploited the high index sensitivity of PCF-LPG to monitor layer-by-layer (LbL) self-assembly of poly(vinyl pyrrolidone) (PVPON) and poly(methacrylic acid) (PMAA) polyelectrolyte layers as well as the pH responsiveness of the cross-linked PMAA hydrogel films. A shift of ˜1.625 nm in the resonance wavelength per polyelectrolyte layer

  1. A new smart fall-down detector for senior healthcare system using inertial microsensors.

    Science.gov (United States)

    Sui, Yongkun; Ahn, Chanmin; Ahn, Chong H

    2014-01-01

    A new smart fall-down detector for senior healthcare system using inertial microsensors and Wi-Fi technology has been designed, prototyped and characterized in this work. The detector can reduce the risk of severe injury or death caused by falling down with minimum false alarm rate. The different patterns of motion are sensed by a set of inertial sensors composed of a tri-axial accelerometer and a tri-axial gyroscope. The signals of motion are sampled and processed by a microcontroller with integrated algorithms. The smart algorithm integrated with machine learning can be customized according to different habits of different seniors to reduce false alarms. The fall-down signal is transmitted through Wi-Fi to the client via Internet.

  2. Optical-based smart structures for tamper-indicating applications

    International Nuclear Information System (INIS)

    Sliva, P.; Anheier, N.C.; Simmons, K.L.; Undem, H.A.

    1996-11-01

    This report is a compilation of several related projects performed from 1991 through 1996 concerning the design, construction, and application of optical-based smart structure to tamper-indicating and sensing secure containers. Due to several influences, the projects were carried through to varying degrees of completion. Cancellation of the overall project at the client level motivated the authors to gather all of the technology and ideas about smart structures developed during these several projects, whether completed or just conceptualized, into one document. Although each section individually discusses a specific project, the overall document is written chronologically with each successive section showing how increased smart structure complexity was integrated into the container

  3. Alcohol sensing of tin oxide thin film prepared by sol–gel process

    Indian Academy of Sciences (India)

    Unknown

    variation of sensitivity and ethanol concentration has shown a linear relationship up to 1150 ppm and after ... alcohol on the human breath or even to detect leaks in ... from water vapour. Ethanol was injected by a micro syringe into the test chamber and the sensing characteristics of the sensor were then observed by ...

  4. Environmental and Landscape Remote Sensing Using Free and Open Source Image Processing Tools

    Science.gov (United States)

    As global climate change and human activities impact the environment, there is a growing need for scientific tools to monitor and measure environmental conditions that support human and ecological health. Remotely sensed imagery from satellite and airborne platforms provides a g...

  5. Comprehensive Smart Grid Planning in a Regulated Utility Environment

    Science.gov (United States)

    Turner, Matthew; Liao, Yuan; Du, Yan

    2015-06-01

    This paper presents the tools and exercises used during the Kentucky Smart Grid Roadmap Initiative in a collaborative electric grid planning process involving state regulators, public utilities, academic institutions, and private interest groups. The mandate of the initiative was to assess the existing condition of smart grid deployments in Kentucky, to enhance understanding of smart grid concepts by stakeholders, and to develop a roadmap for the deployment of smart grid technologies by the jurisdictional utilities of Kentucky. Through involvement of many important stakeholder groups, the resultant Smart Grid Deployment Roadmap proposes an aggressive yet achievable strategy and timetable designed to promote enhanced availability, security, efficiency, reliability, affordability, sustainability and safety of the electricity supply throughout the state while maintaining Kentucky's nationally competitive electricity rates. The models and methods developed for this exercise can be utilized as a systematic process for the planning of coordinated smart grid deployments.

  6. The burden of smartness

    DEFF Research Database (Denmark)

    Lundqvist, Ulla

    Schools are sociohistorically situated battlefields about what it means to be a "smart student", and about which students come to be viewed as smart. Struggles around smartness are a problem for educational scholars and teachers because they can foster social inequity in classrooms. While much...... research accentuates the inequity that occurs when those students who do not fit the “smart” category are marginalized, the inequities that emerge when teachers prefer the smart student have not received much scholarly attention. Drawing on linguistic ethnographic fieldwork in a primary school...

  7. Smart space technology innovations

    CERN Document Server

    Chen, Mu-Yen

    2013-01-01

    Recently, ad hoc and wireless communication technologies have made available the device, service and information rich environment for users. Smart Space and ubiquitous computing extend the ""Living Lab"" vision of everyday objects and provide context-awareness services to users in smart living environments. This ebook investigates smart space technology and its innovations around the Living Labs. The final goal is to build context-awareness smart space and location-based service applications that integrate information from independent systems which autonomously and securely support human activ

  8. Smart Location Database - Service

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Smart Location Database (SLD) summarizes over 80 demographic, built environment, transit service, and destination accessibility attributes for every census block...

  9. Smart Location Database - Download

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Smart Location Database (SLD) summarizes over 80 demographic, built environment, transit service, and destination accessibility attributes for every census block...

  10. Smart Farming Technologies

    DEFF Research Database (Denmark)

    Balafoutis, Athanasios T.; Beck, Bert; Tsiropoulos, Zisis

    2017-01-01

    Precision Agriculture is a cyclic optimization process where data have to be collected from the field, analysed and evaluated and finally used for decision making for site-specific management of the field. Smart farming technologies (SFT ) cover all these aspects of precision agriculture and can...... comprise the delineation of management zones, decision support systems and farm management information system s. Finally, precision application technologies embrace variable-rate application technologies, precision irrigation and weeding and machine guidance. In this chapter, the reader can find...... a technical description of the technologies included in each category accompanied by a taxonomy of all SFT in terms of farming system type, cropping system, availability, level of investment and farmers’ motives to adopt them. Finally, the economic impact that each SFT has compared to conventional...

  11. Smart electromechanical systems

    CERN Document Server

    2016-01-01

    This carefully edited book introduces the latest achievements of the scientists of the Russian Academy of Sciences in the field of theory and practice of Smart Electromechanical Systems (SEMS). The book also focuses on methods of designing and modeling of SEMS based on the principles of adaptability, intelligence, biomorphism of parallel kinematics and parallelism in information processing and control computation. The book chapters are dedicated to the following points of interest: - methods of design of SEMS modules and intelligent robots based on them; - synthesis of neural systems of automatic control over SEMS modules; - mathematical and computer modeling of SEMS modules and Cyber Physical Systems based on them; - vitality control and reliability analysis based on logic-and-probabilistic and logic-and-linguistic forecasting; - methods of optimization of SEMS control systems based on mathematical programming methods in ordinal scale and generalized mathematical programming; - information-measuring software...

  12. Phase-resolved real-time breath analysis during exercise by means of smart processing of PTR-MS data.

    Science.gov (United States)

    Schwoebel, Henny; Schubert, Roland; Sklorz, Martin; Kischkel, Sabine; Zimmermann, Ralf; Schubert, Jochen K; Miekisch, Wolfram

    2011-10-01

    Separation of inspiratory, mixed expired and alveolar air is indispensable for reliable analysis of VOC breath biomarkers. Time resolution of direct mass spectrometers often is not sufficient to reliably resolve the phases of a breathing cycle. To realise fast on-line breath monitoring by means of direct MS utilising low-fragmentation soft ionisation, a data processing algorithm was developed to identify inspiratory and alveolar phases from MS data without any additional equipment. To test the algorithm selected breath biomarkers (acetone, isoprene, acetaldehyde and hexanal) were determined by means of quadrupole proton transfer reaction mass spectrometry (PTR-MS) in seven healthy volunteers during exercise on a stationary bicycle. The results were compared to an off-line reference method consisting of controlled alveolar breath sampling in Tedlar® bags, preconcentration by solid-phase micro extraction (SPME), separation and identification by GC-MS. Based on the data processing method, quantitative attribution of biomarkers to inspiratory, alveolar and mixed expiratory phases was possible at any time during the experiment, even under respiratory rates up to 60/min. Alveolar concentrations of the breath markers, measured by PTR-MS ranged from 130 to 2,600 ppb (acetone), 10 to 540 ppb (isoprene), 2 to 31 ppb (acetaldehyde), whereas the concentrations of hexanal were always below the limit of detection (LOD) of 3 ppb. There was good correlation between on-line PTR-MS and SPME-GC-MS measurements during phases with stable physiological parameters but results diverged during rapid changes of heart rate and minute ventilation. This clearly demonstrates the benefits of breath-resolved MS for fast on-line monitoring of exhaled VOCs. © Springer-Verlag 2011

  13. Unlocking the potential of the smart grid

    Science.gov (United States)

    Konopko, Joanna

    2015-12-01

    The smart grid refers to describe a next-generation electrical power system that is typified by the increased use of Information and Communication Technologies (ICT) in the whole delivery electrical energy process. The generation, delivery and consumption energy, all the steps for power transmission and distribution make the smart grid a complex system. The question is if the amount, diversity, and uses of such data put the smart grid in the category of Big Data applications, followed by the natural question of what is the true value of such data. In this paper an initial answer to this question is provided, the current state of data generation of the Polish grid is analyzed, and a future realistic scenario is illustrated. The analysis shows that the amount of data generated in smart grid is comparable to some of Big Data system examples.

  14. Informatics Solutions for Smart Metering Systems Integration

    Directory of Open Access Journals (Sweden)

    Simona-Vasilica OPREA

    2015-01-01

    Full Text Available In this paper different aspects regarding smart metering systems integration have been depicted. Smart metering systems, renewable energy sources integration and advanced tariff systems implementation require informatics solution that could automatically collect and process data, forecast the behavior of electricity consumers, analyze trends regarding electricity prices, optimize the consumption of consumers, provide friendly interfaces, etc. They are advanced technologies that represent solutions for insufficient conventional primary energy sources, gas emissions, dependency on energy sources located outside European Union and issues related to energy efficiency. This paper mainly describes several informatics solutions correlated with operational requirements for smart metering system and our proposal for simplified architecture of smart metering systems, with three distinct levels (base level, middle level and top level and load profile calculation methods.

  15. Thermal Infrared Remote Sensing for Analysis of Landscape Ecological Processes: Current Insights and Trends. Chapter 3

    Science.gov (United States)

    Quattrochi, Dale A.; Luvall, Jeffrey C.

    2014-01-01

    NASA or NOAA Earth-observing satellites are not the only space-based TIR platforms. The European Space Agency (ESA), the Chinese, and other countries have in orbit or plan to launch TIR remote sensing systems. Satellite remote sensing provides an excellent opportunity to study land-atmosphere energy exchanges at the regional scale. A predominant application of TIR data has been in inferring evaporation, evapotranspiration (ET), and soil moisture. In addition to using TIR data for ET and soil moisture analysis over vegetated surfaces, there is also a need for using these data for assessment of drought conditions. The concept of ecological thermodynamics provides a quantification of surface energy fluxes for landscape characterization in relation to the overall amount of energy input and output from specific land cover types.

  16. Spending Smart

    Science.gov (United States)

    Grush, Mary

    2009-01-01

    There is no doubt that eProcurement technology has turned cumbersome paper-based processes into highly connected online systems. The most basic parameters of eProcurement range from shopping for or sourcing goods, to creating purchase requisitions and getting them approved, to placing orders with suppliers, to receiving invoices--all…

  17. Smart nanotextiles: materials and their application

    OpenAIRE

    Coyle, Shirley; Diamond, Dermot

    2010-01-01

    Textiles are ubiquitous to us, enveloping our skin and surroundings. Not only do they provide a protective shield or act as a comforting cocoon but they also serve esthetic appeal and cultural importance. Recent technologies have allowed the traditional functionality of textiles to be extended. Advances in materials science have added intelligence to textiles and created ‘smart’ clothes. Smart textiles can sense and react to environmental conditions or stimuli, e.g....

  18. CHARACTERIZATION OF MICRO/NANO POROUS HOLLOW GLASS MICROSPHERES FABRICATED THROUGH VARIOUS CHEMICAL ETCHING PROCESSE FOR USE IN SMART COATINGS

    Directory of Open Access Journals (Sweden)

    T. Ebrahimi Sadrabadi

    2016-12-01

    Full Text Available Porous hollow glass microspheres have many uses, including encapsulation of active materials. In this paper a fast and facile method for fabricating porous hollow glass-microspheres was demonstrated by etching them using dilute hydrofluoric acid. Then, a highly reactive amine was infiltrated into the etched glass microspheres. Scanning electron microscopy was conducted for the hollow glass microspheres prior and post etching process. With regards to the porous hollow glass spherical sample, the spherical nature, morphology, pore diameter and the porosity were studied using scanning electron microscopy. Formation of the intact hollow glass microspheres with an open through wall porosities following phase separation and etching of the boron oxide rich phase was demonstrated using reciprocating shaker as the most suitable agitation method. The BET results indicated that the surface of the porous microspheres contained nano-pores. It is believed that the simplicity of the reported fabrication technique of micro/nano porous structure has the potential to scaling up for large scale production

  19. Low-Temperature, Solution-Processed, Transparent Zinc Oxide-Based Thin-Film Transistors for Sensing Various Solvents

    Directory of Open Access Journals (Sweden)

    Hsin-Chiang You

    2017-02-01

    Full Text Available A low temperature solution-processed thin-film transistor (TFT using zinc oxide (ZnO film as an exposed sensing semiconductor channel was fabricated to detect and identify various solution solvents. The TFT devices would offer applications for low-cost, rapid and highly compatible water-soluble detection and could replace conventional silicon field effect transistors (FETs as bio-sensors. In this work, we demonstrate the utility of the TFT ZnO channel to sense various liquids, such as polar solvents (ethanol, non-polar solvents (toluene and deionized (DI water, which were dropped and adsorbed onto the channel. It is discussed how different dielectric constants of polar/non-polar solvents and DI water were associated with various charge transport properties, demonstrating the main detection mechanisms of the thin-film transistor.

  20. Smart and Intelligent Sensors

    Science.gov (United States)

    Lansaw, John; Schmalzel, John; Figueroa, Jorge

    2009-01-01

    John C. Stennis Space Center (SSC) provides rocket engine propulsion testing for NASA's space programs. Since the development of the Space Shuttle, every Space Shuttle Main Engine (SSME) has undergone acceptance testing at SSC before going to Kennedy Space Center (KSC) for integration into the Space Shuttle. The SSME is a large cryogenic rocket engine that uses Liquid Hydrogen (LH2) as the fuel. As NASA moves to the new ARES V launch system, the main engines on the new vehicle, as well as the upper stage engine, are currently base lined to be cryogenic rocket engines that will also use LH2. The main rocket engines for the ARES V will be larger than the SSME, while the upper stage engine will be approximately half that size. As a result, significant quantities of hydrogen will be required during the development, testing, and operation of these rocket engines.Better approaches are needed to simplify sensor integration and help reduce life-cycle costs. 1.Smarter sensors. Sensor integration should be a matter of "plug-and-play" making sensors easier to add to a system. Sensors that implement new standards can help address this problem; for example, IEEE STD 1451.4 defines transducer electronic data sheet (TEDS) templates for commonly used sensors such as bridge elements and thermocouples. When a 1451.4 compliant smart sensor is connected to a system that can read the TEDS memory, all information needed to configure the data acquisition system can be uploaded. This reduces the amount of labor required and helps minimize configuration errors. 2.Intelligent sensors. Data received from a sensor be scaled, linearized; and converted to engineering units. Methods to reduce sensor processing overhead at the application node are needed. Smart sensors using low-cost microprocessors with integral data acquisition and communication support offer the means to add these capabilities. Once a processor is embedded, other features can be added; for example, intelligent sensors can make

  1. Application of UV and Fluorescence Indices for Assessing the Performance of Ozonation Process: Towards Smart Water Treatment

    Science.gov (United States)

    Li, Wen-Tao; Abbt-Braun, Gudrun; Dodd, Michael; Korshin, Gregory; Li, Ai-Min

    2017-04-01

    The UV absorbance and fluorescence indices were comprehensively studied as surrogate indicators for assessing the degradation of dissolved organic matter (DOM), the formation of bromate and biodegradable dissolved organic carbon (BDOC) and the elimination of trace organic contaminants (TOrCs) during the ozonation of surface water and wastewater effluent. Spectroscopic monitoring was carried out using benchtop UV/Vis and fluorescence spectrophotometers and a newly developed miniature LED UV/fluorescence sensor capable of rapidly measuring UVA280 and protein-like and humic-like fluorescence. With the increase of O3/DOC mass ratio, the plots of BDOC formation were characterized three phases of initial lag, transition slope and final plateau. With the decrease of UV absorbance and fluorescence, BDOC concentrations initially increased slowly and then rose more noticeably. Inflection points in plots of BDOC versus changes of spectroscopic indicators were close to 35-45% loss of UVA254 or UVA280 and 75-85% loss of humic-like fluorescence. According to the data from size exclusion chromatography (SEC) with organic carbon detection and 2D synchronous correlation analyses, DOM fractions assigned to operationally defined large biopolymers (apparent molecular weight, AMW>20 kDa) and medium AMW humic substances (AMW 5.5-20 kDa) were transformed into medium-size building blocks (AMW 3-5.5 kDa) and other smaller AMW species (AMWa similar removal percentage (25-75 %) of TOrCs of group III (e.g. DEET) and IV (e.g. atrazine), and a poor removal percentage (a useful supplement to UVA indices for characterization of ozonation processes.

  2. Process evaluation of the systematic medical appraisal, referral and treatment (SMART) mental health project in rural India.

    Science.gov (United States)

    Tewari, Abha; Kallakuri, Sudha; Devarapalli, Siddhardha; Jha, Vivekanand; Patel, Anushka; Maulik, Pallab K

    2017-12-04

    Availability of basic mental health services is limited in rural areas of India. Health system and individual level factors such as lack of mental health professionals and infrastructure, poor awareness about mental health, stigma related to help seeking, are responsible for poor awareness and use of mental health services. We implemented a mental health services delivery model that leveraged technology and task sharing to facilitate identification and treatment of common mental disorders (CMDs) such as stress, depression, anxiety and suicide risk in rural areas of the state of Andhra Pradesh, India. The intervention was delivered by lay village health workers (Accredited Social Health Activists - ASHAs) and primary care doctors. An anti-stigma campaign was implemented prior to this activity. This paper reports the process evaluation of the intervention using mixed methods. A mixed methods pre-post evaluation assessed the intervention using quantitative service usage analytics from the server, and qualitative interviews with different stakeholders. Barriers and facilitators in implementing the intervention were identified. Health service use increased significantly at post-intervention, ASHAs could followup 78.6% of those who had screened positive, and 78.6% of the 1243 Interactive Voice Response System calls made, were successful. Most respondents were aware of the intervention. They indicated that knowledge received through the intervention empowered them to approach ASHAs and share their mental health symptoms. ASHAs and doctors opined that EDSS was useful and easy to use. Medical camps organized in villages to increase access to the doctor were received positively by all. However, some aspects or facilitators of the intervention need to be improved, including network connectivity, booster training, anti-stigma campaigns, quality of mental health services provided by doctors, provision of psychotropic medications at primary health centers and frequency of health

  3. Where's the smartness of learning in smart territories ?

    Directory of Open Access Journals (Sweden)

    Carlo Giovannella

    2014-11-01

    Full Text Available In the future smarter territories are expected to induce transformations of many aspects of the learning processes, but how their smartness is and will be related to that of the learning ecosystems ? In this paper, by means of Principal Component Analysis, we critically analyse methods presently used to benchmark and produce University rankings, by focusing on the case study of the Italian Universities. The outcomes of such analysis allow us to demonstrate the existence of a strong correlation between smart cities' and universities' rankings, i.e. between learning ecosystems and their territories of reference. Present benchmarking approaches, however, need to take in more consideration people feelings and expectations. Accordingly we suggest an innovative point of view on the benchmarking of learning ecosystems based, also, on the so called flow.

  4. Parallel Algorithm for GPU Processing; for use in High Speed Machine Vision Sensing of Cotton Lint Trash.

    Science.gov (United States)

    Pelletier, Mathew G

    2008-02-08

    One of the main hurdles standing in the way of optimal cleaning of cotton lint isthe lack of sensing systems that can react fast enough to provide the control system withreal-time information as to the level of trash contamination of the cotton lint. This researchexamines the use of programmable graphic processing units (GPU) as an alternative to thePC's traditional use of the central processing unit (CPU). The use of the GPU, as analternative computation platform, allowed for the machine vision system to gain asignificant improvement in processing time. By improving the processing time, thisresearch seeks to address the lack of availability of rapid trash sensing systems and thusalleviate a situation in which the current systems view the cotton lint either well before, orafter, the cotton is cleaned. This extended lag/lead time that is currently imposed on thecotton trash cleaning control systems, is what is responsible for system operators utilizing avery large dead-band safety buffer in order to ensure that the cotton lint is not undercleaned.Unfortunately, the utilization of a large dead-band buffer results in the majority ofthe cotton lint being over-cleaned which in turn causes lint fiber-damage as well assignificant losses of the valuable lint due to the excessive use of cleaning machinery. Thisresearch estimates that upwards of a 30% reduction in lint loss could be gained through theuse of a tightly coupled trash sensor to the cleaning machinery control systems. Thisresearch seeks to improve processing times through the development of a new algorithm forcotton trash sensing that allows for implementation on a highly parallel architecture.Additionally, by moving the new parallel algorithm onto an alternative computing platform,the graphic processing unit "GPU", for processing of the cotton trash images, a speed up ofover 6.5 times, over optimized code running on the PC's central processing unit "CPU", wasgained. The new parallel algorithm operating on the

  5. Humor techniques: from real world and game environments to smart environments

    NARCIS (Netherlands)

    Nijholt, Antinus; Streitz, Norbert; Markopoulos, Panos

    In this paper we explore how future smart environments can be given a sense of humor. Humor requires smartness. Entering witty remarks in a conversation requires understanding of the conversation, the conversational partner, the context and the history of the conversation. We can try to model

  6. Making Smart Food Choices

    Science.gov (United States)

    ... turn JavaScript on. Feature: Healthy Aging Making Smart Food Choices Past Issues / Winter 2015 Table of Contents Everyday ... NIH www.nia.nih.gov/Go4Life Making Smart Food Choices To maintain a healthy weight, balance the calories ...

  7. Smart networked cities?

    NARCIS (Netherlands)

    Tranos, E.; Gertner, D.A.

    2012-01-01

    This paper aims to critically assess the lack of a global inter-urban perspective in the smart city policy framework from a conceptual standpoint. We argue here that the smart city policy agenda should be informed by and address the structure of transnational urban networks as this can affect the

  8. Smart city analytics

    DEFF Research Database (Denmark)

    Hansen, Casper; Hansen, Christian; Alstrup, Stephen

    2017-01-01

    is very useful when full records are not accessible or available. Smart city analytics does not necessarily require full city records. To our knowledge this preliminary study is the first to predict large increases in home care for smart city analytics....

  9. Smart grid in China

    DEFF Research Database (Denmark)

    Sommer, Simon; Ma, Zheng; Jørgensen, Bo Nørregaard

    2015-01-01

    China is planning to transform its traditional power grid in favour of a smart grid, since it allows a more economically efficient and a more environmentally friendly transmission and distribution of electricity. Thus, a nationwide smart grid is likely to save tremendous amounts of resources...

  10. Smart Clothing Challenge

    Science.gov (United States)

    Roman, Harry T.

    2011-01-01

    As sensors and computers become smaller and smaller, it becomes possible to add intelligence or smartness to common items. This is already seen in smart appliances, cars that diagnose their own maintenance problems, and military hardware that is something straight out of a science fiction book. In this article, the author looks at a design…

  11. Smart Icon Cards

    Science.gov (United States)

    Dunbar, Laura

    2015-01-01

    Icons are frequently used in the music classroom to depict concepts in a developmentally appropriate way for students. SmartBoards provide music educators yet another way to share these manipulatives with students. This article provides a step-by-step tutorial to create Smart Icon Cards using the folk song "Lucy Locket."

  12. Planning in Smart Grids

    NARCIS (Netherlands)

    Bosman, M.G.C.

    2012-01-01

    The electricity supply chain is changing, due to increasing awareness for sustainability and an improved energy efficiency. The traditional infrastructure where demand is supplied by centralized generation is subject to a transition towards a Smart Grid. In this Smart Grid, sustainable generation

  13. Playing the Smart Card.

    Science.gov (United States)

    Zuzack, Christine A.

    1997-01-01

    Enhanced magnetic strip cards and "smart cards" offer varied service options to college students. Enhanced magnetic strip cards serve as cash cards and provide access to services. Smart cards, which resemble credit cards but contain a microchip, can be used as phone cards, bus passes, library cards, admission tickets, point-of-sale debit…

  14. Smart Fabrics Technology Development

    Science.gov (United States)

    Simon, Cory; Potter, Elliott; Potter, Elliott; McCabe, Mary; Baggerman, Clint

    2010-01-01

    Advances in Smart Fabrics technology are enabling an exciting array of new applications for NASA exploration missions, the biomedical community, and consumer electronics. This report summarizes the findings of a brief investigation into the state of the art and potential applications of smart fabrics to address challenges in human spaceflight.

  15. GeoComplexity and scale: surface processes and remote sensing of geosystems. GeoComplexity and scale: surface processes and remote sensing of geosystems

    Science.gov (United States)

    Muller, Jan-Peter

    2015-04-01

    Understanding the role of scaling in different planetary surface processes within our Solar System is one of the fundamental goals of planetary and solid earth scientific research. There has been a revolution in planetary surface observations over the past decade for the Earth, Mars and the Moon, especially in 3D imaging of surface shape (from the planetary scale down to resolutions of 75cm). I will examine three areas that I have been active in over the last 25 years giving examples of newly processed global datasets ripe for scaling analysis: topography, BRDF/albedo and imaging. For understanding scaling in terrestrial land surface topography we now have global 30m digital elevation models (DEMs) from different types of sensors (InSAR and stereo-optical) along with laser altimeter data to provide global reference models (to better than 1m in cross-over areas) and airborne laser altimeter data over small areas at resolutions better than 1m and height accuracies better than 10-15cm. We also have an increasing number of sub-surface observations from long wavelength SAR in arid regions, which will allow us to look at the true surface rather than the one buried by sand. We also still have a major limitation of these DEMs in that they represent an unknown observable surface with C-band InSAR DEMs representing being somewhere near the top of the canopy and X-band InSAR and stereo near the top of the canopy but only P-band representing the true understorey surface. I will present some of the recent highlights of topography on Mars including 3D modelling of surface shape from the ESA Mars Express HRSC (High Resolution Stereo Camera), see [1], [2] at 30-100m grid-spacing; and then co-registered to HRSC using a resolution cascade of 20m DTMs from NASA MRO stereo-CTX and 0.75m digital terrain models (as there is no land cover on Mars) DTMs from MRO stereo-HiRISE [3]. Comparable DTMs now exist for the Moon from 100m up to 1m. I will show examples of these DEM/DTM datasets

  16. Logistics Road map for Smart SeaPorts

    Directory of Open Access Journals (Sweden)

    Khaled Gaber EL Sakty

    2016-12-01

    Full Text Available In the digital world, a smart concept became an essential feature for port organizations to serve as intelligent hubs in the world transport networks.  Smart ports are the trend for the future long-term strategies. Henceforth, ports aims at contributing to sustainable growth by establishing the appropriate conditions for the adoption of new management energy models based on low environmental impact and triggering innovation of both technologies and processes. The scope of this paper is to examine three main issues of smart ports; smart port arctic logistics roadmap, smart port challenges and obstacles in arctic port areas, and the criteria and Key Performance Indicators guiding the assessment of ports against this concept. The main purpose is to develop a smart arctic logistics road map for the future.

  17. Data processing of remotely sensed airborne hyperspectral data using the Airborne Processing Library (APL): Geocorrection algorithm descriptions and spatial accuracy assessment

    Science.gov (United States)

    Warren, Mark A.; Taylor, Benjamin H.; Grant, Michael G.; Shutler, Jamie D.

    2014-03-01

    Remote sensing airborne hyperspectral data are routinely used for applications including algorithm development for satellite sensors, environmental monitoring and atmospheric studies. Single flight lines of airborne hyperspectral data are often in the region of tens of gigabytes in size. This means that a single aircraft can collect terabytes of remotely sensed hyperspectral data during a single year. Before these data can be used for scientific analyses, they need to be radiometrically calibrated, synchronised with the aircraft's position and attitude and then geocorrected. To enable efficient processing of these large datasets the UK Airborne Research and Survey Facility has recently developed a software suite, the Airborne Processing Library (APL), for processing airborne hyperspectral data acquired from the Specim AISA Eagle and Hawk instruments. The APL toolbox allows users to radiometrically calibrate, geocorrect, reproject and resample airborne data. Each stage of the toolbox outputs data in the common Band Interleaved Lines (BILs) format, which allows its integration with other standard remote sensing software packages. APL was developed to be user-friendly and suitable for use on a workstation PC as well as for the automated processing of the facility; to this end APL can be used under both Windows and Linux environments on a single desktop machine or through a Grid engine. A graphical user interface also exists. In this paper we describe the Airborne Processing Library software, its algorithms and approach. We present example results from using APL with an AISA Eagle sensor and we assess its spatial accuracy using data from multiple flight lines collected during a campaign in 2008 together with in situ surveyed ground control points.

  18. A Scalable Smart Meter Data Generator Using Spark

    DEFF Research Database (Denmark)

    Iftikhar, Nadeem; Liu, Xiufeng; Danalachi, Sergiu

    2017-01-01

    Today, smart meters are being used worldwide. As a matter of fact smart meters produce large volumes of data. Thus, it is important for smart meter data management and analytics systems to process petabytes of data. Benchmarking and testing of these systems require scalable data, however, it can...... be challenging to get large data sets due to privacy and/or data protection regulations. This paper presents a scalable smart meter data generator using Spark that can generate realistic data sets. The proposed data generator is based on a supervised machine learning method that can generate data of any size...

  19. Smart City Planning

    DEFF Research Database (Denmark)

    Ekman, Ulrik

    2018-01-01

    This article reflects on the challenges for urban planning posed by the emergence of smart cities in network societies. In particular, it reflects on reductionist tendencies in existing smart city planning. Here the concern is with the implications of prior reductions of complexity which have been...... undertaken by placing primacy in planning on information technology, economical profit, and top-down political government. Rather than pointing urban planning towards a different ordering of these reductions, this article argues in favor of approaches to smart city planning via complexity theory....... Specifically, this article argues in favor of approaching smart city plans holistically as topologies of organized complexity. Here, smart city planning is seen as a theory and practice engaging with a complex adaptive urban system which continuously operates on its potential. The actualizations in the face...

  20. Smart Grid Innovation Management for SME Electricity Companies

    DEFF Research Database (Denmark)

    Tambo, Torben

    2011-01-01

    To meet requirements on sustainability in the society’s energy consumption power producers and consumers need smart grid technology to balance, plan and prioritize among the different items. Smart grid represents a host of specification, unproven products and concepts and a strong and dedicated...... innovation process lies ahead for utility companies in screening, testing, maturing, implementing and operating smart grids. This process is expected to follow the political targets for CO2 reduction stretching forward until 2050. As no proven concepts exists, and as the process is expected to progress many...... years ahead, smart grid represents an excellent case of continuous innovation. The current study use a series of loosely related technological studies of smart grid related technologies in SME electricity companies to highlight critical issues in this innovation process. Major findings...

  1. Smart Sustainable Islands VS Smart Sustainable Cities

    Science.gov (United States)

    Pantazis, D. N.; Moussas, V. C.; Murgante, B.; Daverona, A. C.; Stratakis, P.; Vlissidis, N.; Kavadias, A.; Economou, D.; Santimpantakis, K.; Karathanasis, B.; Kyriakopoulou, V.; Gadolou, E.

    2017-09-01

    This paper has several aims: a) the presentation of a critical analysis of the terms "smart sustainable cities" and "smart sustainable islands" b) the presentation of a number of principles towards to the development methodological framework of concepts and actions, in a form of a manual and actions guide, for the smartification and sustainability of islands. This kind of master plan is divided in thematic sectors (key factors) which concern the insular municipalities c) the creation of an island's smartification and sustainability index d) the first steps towards the creation of a portal for the presentation of our smartification actions manual, together with relative resources, smart applications examples, and, in the near future the first results of our index application in a number of Greek islands and e) the presentation of some proposals of possible actions towards their sustainable development and smartification for the municipalities - islands of Paros and Antiparos in Greece, as case studies.

  2. Remote Sensing:From Trained Professionals to General Public

    Directory of Open Access Journals (Sweden)

    SHAN Jie

    2017-10-01

    Full Text Available Influenced by the growing popularity of smart phones and the rapid development of open science, remote sensing is being developed and applied more by general public than by trained professionals. This trend is mainly embodied in the democratized data collection, democratized data processing and democratized data usage. This paper discusses and analyzes the three aforementioned characteristics, introduces some recent representative work and progress. It also lists numerous international open data processing tools, including photogrammetry processing, laser scanning processing, machine learning, and spatial information management. In addition, the article makes a detailed description of the benefits of open data, and lists a number of global data programs and experimental data sets for scientific research. At the end of this paper, it is pointed out that the democratization of remote sensing will not only produce great economic benefits, but also bring about great social benefits, and finally change the landscape of industry and the life style of people.

  3. Smart Waterflooding in Carbonate Reservoirs

    DEFF Research Database (Denmark)

    Zahid, Adeel

    During the last decade, smart waterflooding has been developed into an emerging EOR technology both for carbonate and sandstone reservoirs that does not require toxic or expensive chemicals. Although it is widely accepted that different salinity brines may increase the oil recovery for carbonate...... reservoirs, understanding of the mechanism of this increase is still developing. To understand this smart waterflooding process, an extensive research has been carried out covering a broad range of disciplines within surface chemistry, thermodynamics of crude oil and brine, as well as their behavior...... that a heavy oil (that with a large fraction of heavy components) exhibited viscosity reduction in contact with brine, while a light crude oil exhibited emulsion formation. Most of reported high salinity waterflooding studies were carried out with outcrop chalk core plugs, and by performing spontaneous...

  4. Smart antennas for nuclear instruments

    International Nuclear Information System (INIS)

    Jain, Ranjan Bala; Singhi, B.M.

    2005-01-01

    The advances in the field of computer and communications are leading to the development of smart embedded nuclear instruments. These instruments have highly sophisticated signal-processing algorithms based on FPGA and ASICS, provisions of present day connectivity and user interfaces. The developments in the connectivity, standards and bus technologies have made possible to access these instruments on LAN and WAN with suitable reliability and security. To get rid of wires i.e. in order to access these instruments, without wires at any place, wireless technology has evolved and become integral part of day-to-day activities. The environment monitoring can be done remotely, if smart antennas are incorporated on these instruments

  5. OpenSHS: Open Smart Home Simulator.

    Science.gov (United States)

    Alshammari, Nasser; Alshammari, Talal; Sedky, Mohamed; Champion, Justin; Bauer, Carolin

    2017-05-02

    This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator, OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field of the Internet of Things (IoT) and machine learning to test and evaluate their models. Following a hybrid approach, OpenSHS combines advantages from both interactive and model-based approaches. This approach reduces the time and efforts required to generate simulated smart home datasets. We have designed a replication algorithm for extending and expanding a dataset. A small sample dataset produced, by OpenSHS, can be extended without affecting the logical order of the events. The replication provides a solution for generating large representative smart home datasets. We have built an extensible library of smart devices that facilitates the simulation of current and future smart home environments. Our tool divides the dataset generation process into three distinct phases: first design: the researcher designs the initial virtual environment by building the home, importing smart devices and creating contexts; second, simulation: the participant simulates his/her context-specific events; and third, aggregation: the researcher applies the replication algorithm to generate the final dataset. We conducted a study to assess the ease of use of our tool on the System Usability Scale (SUS).

  6. OpenSHS: Open Smart Home Simulator

    Directory of Open Access Journals (Sweden)

    Nasser Alshammari

    2017-05-01

    Full Text Available This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator, OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field of the Internet of Things (IoT and machine learning to test and evaluate their models. Following a hybrid approach, OpenSHS combines advantages from both interactive and model-based approaches. This approach reduces the time and efforts required to generate simulated smart home datasets. We have designed a replication algorithm for extending and expanding a dataset. A small sample dataset produced, by OpenSHS, can be extended without affecting the logical order of the events. The replication provides a solution for generating large representative smart home datasets. We have built an extensible library of smart devices that facilitates the simulation of current and future smart home environments. Our tool divides the dataset generation process into three distinct phases: first design: the researcher designs the initial virtual environment by building the home, importing smart devices and creating contexts; second, simulation: the participant simulates his/her context-specific events; and third, aggregation: the researcher applies the replication algorithm to generate the final dataset. We conducted a study to assess the ease of use of our tool on the System Usability Scale (SUS.

  7. Authentication techniques for smart cards

    International Nuclear Information System (INIS)

    Nelson, R.A.

    1994-02-01

    Smart card systems are most cost efficient when implemented as a distributed system, which is a system without central host interaction or a local database of card numbers for verifying transaction approval. A distributed system, as such, presents special card and user authentication problems. Fortunately, smart cards offer processing capabilities that provide solutions to authentication problems, provided the system is designed with proper data integrity measures. Smart card systems maintain data integrity through a security design that controls data sources and limits data changes. A good security design is usually a result of a system analysis that provides a thorough understanding of the application needs. Once designers understand the application, they may specify authentication techniques that mitigate the risk of system compromise or failure. Current authentication techniques include cryptography, passwords, challenge/response protocols, and biometrics. The security design includes these techniques to help prevent counterfeit cards, unauthorized use, or information compromise. This paper discusses card authentication and user identity techniques that enhance security for microprocessor card systems. It also describes the analysis process used for determining proper authentication techniques for a system

  8. Authentication techniques for smart cards

    Energy Technology Data Exchange (ETDEWEB)

    Nelson, R.A.

    1994-02-01

    Smart card systems are most cost efficient when implemented as a distributed system, which is a system without central host interaction or a local database of card numbers for verifying transaction approval. A distributed system, as such, presents special card and user authentication problems. Fortunately, smart cards offer processing capabilities that provide solutions to authentication problems, provided the system is designed with proper data integrity measures. Smart card systems maintain data integrity through a security design that controls data sources and limits data changes. A good security design is usually a result of a system analysis that provides a thorough understanding of the application needs. Once designers understand the application, they may specify authentication techniques that mitigate the risk of system compromise or failure. Current authentication techniques include cryptography, passwords, challenge/response protocols, and biometrics. The security design includes these techniques to help prevent counterfeit cards, unauthorized use, or information compromise. This paper discusses card authentication and user identity techniques that enhance security for microprocessor card systems. It also describes the analysis process used for determining proper authentication techniques for a system.

  9. Contribution of Shape Memory Alloys Elements in Designing Underwater Smart Structures

    Directory of Open Access Journals (Sweden)

    Daniel Amariei

    2007-10-01

    Full Text Available Shape memory alloys (SMA have generated a lot of new ideas in engineering. Application is however so far limited to clamps and springs. With respect to smart structures sensing as well as control has to be included. While sensing looks to be relatively feasible control is the big challenge. This paper describes some related a smart structure idea using SMAs and discusses the challenges which need to be solved before these ideas can be realised.

  10. Data-driven Regulation and Governance in Smart Cities

    NARCIS (Netherlands)

    Ranchordás, Sofia; Klop, Abram; Mak, Vanessa; Berlee, Anna; Tjong Tjin Tai, Eric

    2018-01-01

    This chapter discusses the concept of data-driven regulation and governance in the context of smart cities by describing how these urban centres harness these technologies to collect and process information about citizens, traffic, urban planning or waste production. It describes how several smart

  11. Securing image information using double random phase encoding and parallel compressive sensing with updated sampling processes

    Science.gov (United States)

    Hu, Guiqiang; Xiao, Di; Wang, Yong; Xiang, Tao; Zhou, Qing

    2017-11-01

    Recently, a new kind of image encryption approach using compressive sensing (CS) and double random phase encoding has received much attention due to the advantages such as compressibility and robustness. However, this approach is found to be vulnerable to chosen plaintext attack (CPA) if the CS measurement matrix is re-used. Therefore, designing an efficient measurement matrix updating mechanism that ensures resistance to CPA is of practical significance. In this paper, we provide a novel solution to update the CS measurement matrix by altering the secret sparse basis with the help of counter mode operation. Particularly, the secret sparse basis is implemented by a reality-preserving fractional cosine transform matrix. Compared with the conventional CS-based cryptosystem that totally generates all the random entries of measurement matrix, our scheme owns efficiency superiority while guaranteeing resistance to CPA. Experimental and analysis results show that the proposed scheme has a good security performance and has robustness against noise and occlusion.

  12. Analysis of a Lipid/Polymer Membrane for Bitterness Sensing with a Preconditioning Process

    Directory of Open Access Journals (Sweden)

    Rui Yatabe

    2015-09-01

    Full Text Available It is possible to evaluate the taste of foods or medicines using a taste sensor. The taste sensor converts information on taste into an electrical signal using several lipid/polymer membranes. A lipid/polymer membrane for bitterness sensing can evaluate aftertaste after immersion in monosodium glutamate (MSG, which is called “preconditioning”. However, we have not yet analyzed the change in the surface structure of the membrane as a result of preconditioning. Thus, we analyzed the change in the surface by performing contact angle and surface zeta potential measurements, Fourier transform infrared spectroscopy (FTIR, X-ray photon spectroscopy (XPS and gas cluster ion beam time-of-flight secondary ion mass spectrometry (GCIB-TOF-SIMS. After preconditioning, the concentrations of MSG and tetradodecylammonium bromide (TDAB, contained in the lipid membrane were found to be higher in the surface region than in the bulk region. The effect of preconditioning was revealed by the above analysis methods.

  13. Smart Card Based Integrated Electronic Health Record System For Clinical Practice

    OpenAIRE

    N. Anju Latha; B. Rama Murthy; U. Sunitha

    2012-01-01

    Smart cards are used in information technologies as portable integrated devices with data storage and data processing capabilities. As in other fields, smart card use in health systems became popular due to their increased capacity and performance. Smart cards are used as a Electronic Health Record (EHR) Their efficient use with easy and fast data access facilities leads to implementation particularly widespread in hospitals. In this paper, a smart card based Integrated Electronic health Reco...

  14. CubeSat Cloud: A framework for distributed storage, processing and communication of remote sensing data on cubesat clusters

    Science.gov (United States)

    Challa, Obulapathi Nayudu

    CubeSat Cloud is a novel vision for a space based remote sensing network that includes a collection of small satellites (including CubeSats), ground stations, and a server, where a CubeSat is a miniaturized satellite with a volume of a 10x10x10 cm cube and has a weight of approximately 1 kg. The small form factor of CubeSats limits the processing and communication capabilities. Implemented and deployed CubeSats have demonstrated about 1 GHz processing speed and 9.6 kbps communication speed. A CubeSat in its current state can take hours to process a 100 MB image and more than a day to downlink the same, which prohibits remote sensing, considering the limitations in ground station access time for a CubeSat. This dissertation designs an architecture and supporting networking protocols to create CubeSat Cloud, a distributed processing, storage and communication framework that will enable faster execution of remote sensing missions on CubeSat clusters. The core components of CubeSat Cloud are CubeSat Distributed File System, CubeSat MapMerge, and CubeSat Torrent. The CubeSat Distributed File System has been created for distributing of large amounts of data among the satellites in the cluster. Once the data is distributed, CubeSat MapReduce has been created to process the data in parallel, thereby reducing the processing load for each CubeSat. Finally, CubeSat Torrent has been created to downlink the data at each CubeSat to a distributed set of ground stations, enabling faster asynchronous downloads. Ground stations send the downlinked data to the server to reconstruct the original image and store it for later retrieval. Analysis of the proposed CubeSat Cloud architecture was performed using a custom-designed simulator, called CubeNet and an emulation test bed using Raspberry Pi devices. Results show that for cluster sizes ranging from 5 to 25 small satellites, faster download speeds up to 4 to 22 times faster - can be achieved when using CubeSat Cloud, compared to a

  15. Surface Plasmon Resonance Biosensor Based on Smart Phone Platforms.

    Science.gov (United States)

    Liu, Yun; Liu, Qiang; Chen, Shimeng; Cheng, Fang; Wang, Hanqi; Peng, Wei

    2015-08-10

    We demonstrate a fiber optic surface plasmon resonance (SPR) biosensor based on smart phone platforms. The light-weight optical components and sensing element are connected by optical fibers on a phone case. This SPR adaptor can be conveniently installed or removed from smart phones. The measurement, control and reference channels are illuminated by the light entering the lead-in fibers from the phone's LED flash, while the light from the end faces of the lead-out fibers is detected by the phone's camera. The SPR-sensing element is fabricated by a light-guiding silica capillary that is stripped off its cladding and coated with 50-nm gold film. Utilizing a smart application to extract the light intensity information from the camera images, the light intensities of each channel are recorded every 0.5 s with refractive index (RI) changes. The performance of the smart phone-based SPR platform for accurate and repeatable measurements was evaluated by detecting different concentrations of antibody binding to a functionalized sensing element, and the experiment results were validated through contrast experiments with a commercial SPR instrument. This cost-effective and portable SPR biosensor based on smart phones has many applications, such as medicine, health and environmental monitoring.

  16. On-Ground Processing of Yaogan-24 Remote Sensing Satellite Attitude Data and Verification Using Geometric Field Calibration

    Science.gov (United States)

    Wang, Mi; Fan, Chengcheng; Yang, Bo; Jin, Shuying; Pan, Jun

    2016-01-01

    Satellite attitude accuracy is an important factor affecting the geometric processing accuracy of high-resolution optical satellite imagery. To address the problem whereby the accuracy of the Yaogan-24 remote sensing satellite’s on-board attitude data processing is not high enough and thus cannot meet its image geometry processing requirements, we developed an approach involving on-ground attitude data processing and digital orthophoto (DOM) and the digital elevation model (DEM) verification of a geometric calibration field. The approach focuses on three modules: on-ground processing based on bidirectional filter, overall weighted smoothing and fitting, and evaluation in the geometric calibration field. Our experimental results demonstrate that the proposed on-ground processing method is both robust and feasible, which ensures the reliability of the observation data quality, convergence and stability of the parameter estimation model. In addition, both the Euler angle and quaternion could be used to build a mathematical fitting model, while the orthogonal polynomial fitting model is more suitable for modeling the attitude parameter. Furthermore, compared to the image geometric processing results based on on-board attitude data, the image uncontrolled and relative geometric positioning result accuracy can be increased by about 50%. PMID:27483287

  17. Smart grids for smart cities: Smart energy management

    International Nuclear Information System (INIS)

    Kieny, Christophe

    2013-01-01

    Smart grids are currently a hot topic. Growing numbers of municipalities are experimenting with smart grids as the foundation for tomorrow's smart cities. And yet, end users are struggling to understand the innovative new energy distribution models just over the horizon. Our energy system is at a crossroads. And the coming years will tell us whether smart grids - whether they integrate renewable energy sources or not - will develop as a hybrid industry combining energy and IT or emerge as a full-fledged sector in and of itself. First and foremost, smart grids must be considered from a local, micro-economic standpoint, but one that also takes into account issues and interactions at the regional, national, EU, and global levels. Today, fighting climate change is a major challenge at both the national and global levels. The Kyoto Protocol and the Copenhagen Summit established a framework for crucial initiatives to combat climate change. The EU and France followed suit with their Climate and Energy Package and Grenelle de l'environnement environmental agenda. These policies set forth measures to fight climate change and to adapt to its impacts on people and the economy. France, for instance, set two basic targets to be achieved by 2020: - Make renewable energy a priority by promoting the development of energy from renewable sources to achieve the target of 23% renewables in the final energy mix. - Promote energy savings and increase energy efficiency by 20% and limit global warming to less than 2 deg. C over pre-industrial temperatures in industrialized nations by 2050 (around 1.2 deg. C above current temperatures). Tomorrow's grids will have to be smarter, which means incorporating information and communication technologies to provide the responsiveness and enhanced communication capabilities needed to meet the following challenges: - Integrating electricity from renewable sources; - Controlling demand; - Managing peak consumption; - Promoting

  18. Annotating smart environment sensor data for activity learning.

    Science.gov (United States)

    Szewcyzk, S; Dwan, K; Minor, B; Swedlove, B; Cook, D

    2009-01-01

    The pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. In order to monitor the functional health of smart home residents, we need to design technologies that recognize and track the activities that people perform at home. Machine learning techniques can perform this task, but the software algorithms rely upon large amounts of sample data that is correctly labeled with the corresponding activity. Labeling, or annotating, sensor data with the corresponding activity can be time consuming, may require input from the smart home resident, and is often inaccurate. Therefore, in this paper we investigate four alternative mechanisms for annotating sensor data with a corresponding activity label. We evaluate the alternative methods along the dimensions of annotation time, resident burden, and accuracy using sensor data collected in a real smart apartment.

  19. Building an Elastic Parallel OGC Web Processing Service on a Cloud-Based Cluster: A Case Study of Remote Sensing Data Processing Service

    Directory of Open Access Journals (Sweden)

    Xicheng Tan

    2015-10-01

    Full Text Available Since the Open Geospatial Consortium (OGC proposed the geospatial Web Processing Service (WPS, standard OGC Web Service (OWS-based geospatial processing has become the major type of distributed geospatial application. However, improving the performance and sustainability of the distributed geospatial applications has become the dominant challenge for OWSs. This paper presents the construction of an elastic parallel OGC WPS service on a cloud-based cluster and the designs of a high-performance, cloud-based WPS service architecture, the scalability scheme of the cloud, and the algorithm of the elastic parallel geoprocessing. Experiments of the remote sensing data processing service demonstrate that our proposed method can provide a higher-performance WPS service that uses less computing resources. Our proposed method can also help institutions reduce hardware costs, raise the rate of hardware usage, and conserve energy, which is important in building green and sustainable geospatial services or applications.

  20. Smart security proven practices

    CERN Document Server

    Quilter, J David

    2014-01-01

    Smart Security: Understanding and Contributing to the Business is a video presentation. Length: 68 minutes. In Smart Security: Understanding and Contributing to the Business, presenter J. David Quilter demonstrates the benefits of how a fully integrated security program increases business profits and delivers smart security practices at the same time. The presentation does away with the misconception that security is only an expense. In fact, a well-integrated security program can protect business interests, thereby enhancing productivity and net income. Quilter covers cost analysis and secu

  1. Smart Cities in Taiwan: A Perspective on Big Data Applications

    Directory of Open Access Journals (Sweden)

    Shiann Ming Wu

    2018-01-01

    Full Text Available In this paper, we discuss the concept of a smart city based on information and communication technology (ICT, analyze the objectives of smart city development in Taiwan, and explain the supporting technologies that make such development possible. Subsequently, we propose a hierarchical structure framework of smart city systems with levels of complexity ranging from low to high and interconnections and interactive relationships in five dimensions: the Internet of Things (IoT, cloud computing, Big Data, Mobile Network, and smart business. We integrate each key resource of the core operation systems of cities to promote the innovative operation of cities and further optimize city development. We then propose a Big Data platform data flow framework that uses information from ubiquitous sensor networks and information equipment to analyze the Big Data application process of smart cities and determine the resulting advantages and challenges. Additionally, we analyze the current state of development of smart cities in Taiwan. Finally, we discuss a new philosophy of smart city development and provide a practical blueprint for the formation, operation, and development of the smart cities with the aim of creating a bright future for the smart cities of Taiwan.

  2. Defining Smart City. A Conceptual Framework Based on Keyword Analysis

    Directory of Open Access Journals (Sweden)

    Farnaz Mosannenzadeh

    2014-05-01

    Full Text Available “Smart city” is a concept that has been the subject of increasing attention in urban planning and governance during recent years. The first step to create Smart Cities is to understand its concept. However, a brief review of literature shows that the concept of Smart City is the subject of controversy. Thus, the main purpose of this paper is to provide a conceptual framework to define Smart City. To this aim, an extensive literature review was done. Then, a keyword analysis on literature was held against main research questions (why, what, who, when, where, how and based on three main domains involved in the policy decision making process and Smart City plan development: Academic, Industrial and Governmental. This resulted in a conceptual framework for Smart City. The result clarifies the definition of Smart City, while providing a framework to define Smart City’s each sub-system. Moreover, urban authorities can apply this framework in Smart City initiatives in order to recognize their main goals, main components, and key stakeholders.

  3. Design Features of the SMART Water Chemistry

    International Nuclear Information System (INIS)

    Byung Seon Choi; Seong Hoon Kim; Juhyeon Yoon; Doo Jeong Lee; Yoon Yeong Bae; Sung Kyun Zee

    2004-01-01

    The design features for the primary water chemistry for the SMART are introduced from the viewpoint of the system characteristics and the chemical design concept. The most essential differences in water chemistry between the commercially operating PWRs and SMART are characterized by the presence of boron in the water and the operating mode of the purification system. SMART is a soluble boron free reactor, and the ammonia is used as a pH reagent. The material for SMART steam generator is also different from the standard material of the commercially operating PWRs: titanium alloy for the steam generator tubes. In SMART hydrogen gas which suppresses a generation of oxidizing species by the radiolysis processes in the reactors is not added to the primary coolant, but is normally generated from the radiolysis of the ammonia as the coolant passes through the core. Ammonia is added once per shift because SMART reactor has no letdown and charging system during power operation. Because of these competing processes, the concentrations of hydrogen, nitrogen and ammonia in the primary coolant are in equilibrium, which depend on the decomposition and/or combination rate of the ammonia. The level of permissible oxygen concentration in the primary coolant can be ensured by both suppression of the water radiolysis through maintaining a high enough hydrogen concentration in the primary coolant and by a restriction of the oxygen ingress into the primary coolant with the makeup water. The ammonia chemistry in SMART reactor eliminates the need for hydrogen injection for the control of the dissolved oxygen in the primary coolant because of spontaneous generation of hydrogen and nitrogen produced by the reaction of the ammonia decomposition. (authors)

  4. A Smart Home Center Platform Solution Based on Smart Mirror

    Directory of Open Access Journals (Sweden)

    Deng Xibo

    2017-01-01

    Full Text Available With the popularization of the concept of smart home, people have raised requirements on the experience of smart living. A smart home platform center solution is put forward in order to solve the intelligent interoperability and information integration of smart home, which enable people to have a more intelligent and convenient life experience. This platform center is achieved through the Smart Mirror. The Smart Mirror refers to a smart furniture, on the basis of the traditional concept of mirror, combining Raspberry Pi, the application of one-way mirror imaging principle, the touch-enabled design, voice and video interaction. Smart Mirror can provide a series of intelligent experience for the residents, such as controlling all the intelligent furniture through Smart Mirror; accessing and displaying the weather, time, news and other life information; monitoring the home environment; remote interconnection operation.

  5. Semantic service integration for smart grids

    CERN Document Server

    Rohjans, S

    2012-01-01

    The scope of the research presented includes semantic-based integration of data services in smart grids achieved through following the proposed (S²)In-approach developed corresponding to design science guidelines. This approach identifies standards and specifications, which are integrated in order to build the basis for the (S²)In-architecture. A process model is introduced in the beginning, which serves as framework for developing the target architecture. The first step of the process stipulates to define requirements for smart grid ICT-architectures being derived from established studies and

  6. Symposium on Machine Processing of Remotely Sensed Data, Purdue University, West Lafayette, Ind., June 29-July 1, 1976, Proceedings

    Science.gov (United States)

    1976-01-01

    Papers are presented on the applicability of Landsat data to water management and control needs, IBIS, a geographic information system based on digital image processing and image raster datatype, and the Image Data Access Method (IDAM) for the Earth Resources Interactive Processing System. Attention is also given to the Prototype Classification and Mensuration System (PROCAMS) applied to agricultural data, the use of Landsat for water quality monitoring in North Carolina, and the analysis of geophysical remote sensing data using multivariate pattern recognition. The Illinois crop-acreage estimation experiment, the Pacific Northwest Resources Inventory Demonstration, and the effects of spatial misregistration on multispectral recognition are also considered. Individual items are announced in this issue.

  7. The Business Model Evaluation Tool for Smart Cities: Application to SmartSantander Use Cases

    Directory of Open Access Journals (Sweden)

    Raimundo Díaz-Díaz

    2017-02-01

    Full Text Available New technologies open up the door to multiple business models applied to public services in smart cities. However, there is not a commonly adopted methodology for evaluating business models in smart cities that can help both practitioners and researchers to choose the best option. This paper addresses this gap introducing the Business Model Evaluation Tool for Smart Cities. This methodology is a simple, organized, flexible and the transparent system that facilitates the work of the evaluators of potential business models. It is useful to compare two or more business models and take strategic decisions promptly. The method is part of a previous process of content analysis and it is based on the widely utilized Business Model Canvas. The evaluation method has been assessed by 11 experts and, subsequently it has been validated applying it to the case studies of Santander’s waste management and street lighting systems, which take advantage of innovative technologies commonly used in smart cities.

  8. Smart sensors for health and environment monitoring

    CERN Document Server

    2015-01-01

    This book covers two most important applications of smart sensors, namely bio-health sensing and environmental monitoring.   The approach taken is holistic and covers the complete scope of the subject matter from the principles of the sensing mechanism, through device physics, circuit and system implementation techniques, and energy issues  to wireless connectivity solutions. It is written at a level suitable mainly for post-graduate level researchers interested in practical applications. The chapters are independent but complementary to each other, and the book works within the wider perspective of essential smart sensors for the Internet of Things (IoT).   This is the second of three books based on the Integrated Smart Sensors research project, which describe the development of innovative devices, circuits, and system-level enabling technologies.  The aim of the project was to develop common platforms on which various devices and sensors can be loaded, and to create systems offering significant improve...

  9. Sustainable and Smart City Planning Using Spatial Data in Wallonia

    Science.gov (United States)

    Stephenne, N.; Beaumont, B.; Hallot, E.; Wolff, E.; Poelmans, L.; Baltus, C.

    2016-09-01

    Simulating population distribution and land use changes in space and time offer opportunities for smart city planning. It provides a holistic and dynamic vision of fast changing urban environment to policy makers. Impacts, such as environmental and health risks or mobility issues, of policies can be assessed and adapted consequently. In this paper, we suppose that "Smart" city developments should be sustainable, dynamic and participative. This paper addresses these three smart objectives in the context of urban risk assessment in Wallonia, Belgium. The sustainable, dynamic and participative solution includes (i) land cover and land use mapping using remote sensing and GIS, (ii) population density mapping using dasymetric mapping, (iii) predictive modelling of land use changes and population dynamics and (iv) risk assessment. The comprehensive and long-term vision of the territory should help to draw sustainable spatial planning policies, to adapt remote sensing acquisition, to update GIS data and to refine risk assessment from regional to city scale.

  10. Home, Smart Home

    DEFF Research Database (Denmark)

    Hansen, Ellen Kathrine; Olesen, Gitte Gylling Hammershøj; Mullins, Michael

    2013-01-01

    The article places focus on how smart technologies integrated in a one family- home and particular the window offer unique challenges and opportunities for designing buildings with the best possible environments for people and nature. Toward an interdisciplinary approach, we address the interaction...... between daylight defined in technical terms and daylight defined in aesthetic, architectural terms. Through field-tests of a Danish carbon-neutral home and an analysis of five key design parameters, we explore the contradictions and potentials in smart buildings, using the smart window as example of how...... to the energy design is central. The study illuminates an approach of the design of smart houses as living organisms by connecting technology with the needs of the occupants with the power and beauty of daylight....

  11. Smart Book Charts

    Science.gov (United States)

    Chinnapongse, Ronald L.

    2015-01-01

    Smart book charts for TPSM: Heatshield for Extreme Entry Environment Technology (HEEET), Conformal Ablative TPS (CA-TPS), 3D Woven Multifunctional Ablative TPS (3D MAT), and Adaptable, Deployable, Entry and Placement Technology (ADEPT).

  12. The Smart Energy System

    DEFF Research Database (Denmark)

    Jurowetzki, Roman; Dyrelund, Anders; Hummelmose, Lars

    Copenhagen Cleantech Cluster has launched a new report, which provides an overview of Danish competencies relating to smart energy systems. The report, which is based on a questionnaire answered by almost 200 companies working with smart energy as well as a number of expert interviews, focuses...... on the synergies which are obtained through integration of the district heating and district cooling, gas, and electricity grid into a single smart energy system. Besides documenting the technology and innovation strengths that Danish companies possess particularly relating to wind, district heating, CHP...... production, large scale solar heat, fuel cells, heat storage, waste incineration, among others, the report draws a picture of Denmark as a research and development hub for smart energy system solutions....

  13. Controlling smart grid adaptivity

    NARCIS (Netherlands)

    Toersche, Hermen; Nykamp, Stefan; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria

    2012-01-01

    Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption

  14. SmartCityWare

    DEFF Research Database (Denmark)

    Mohamed, Nader; Al-Jaroodi, Jameela; Jawhar, Imad

    2017-01-01

    rely heavily on utilizing various software, hardware, and communication technologies to improve the operations in areas, such as healthcare, transportation, energy, education, logistics, and many others, while reducing costs and resources consumption. One of the promising technologies to support...... such efforts is the Cloud of Things (CoT). CoT provides a platform for linking the cyber parts of a smart city that are executed on the cloud with the physical parts of the smart city, including residents, vehicles, power grids, buildings, water networks, hospitals, and other resources. Another useful...... services and components involved in smart city applications as services accessible through the service-oriented model. This enhances integration and allows for flexible inclusion and utilization of the various services needed in a smart city application. In addition, we discuss the implementation...

  15. The Smart Factory

    DEFF Research Database (Denmark)

    Radziwon, Agnieszka; Bilberg, Arne; Bogers, Marcel

    2014-01-01

    Nowadays we live in a world, which a decade ago would only be described in the science fiction literature. More and more things become smart and both scientists and engineers strive for developing not only new and innovative devices, but also homes, factories, or even cities. Despite of continuous...... development, many of those concepts are still being just a vision of the future, which still needs a lot of effort to become true. This paper reviews the usage of adjective smart in respect to technology and with a special emphasis on the smart factory concept placement among contemporary studies. Due...... to a lack of a consensus of common understanding of this term, a unified definition is proposed. The conceptualization will not only refer to various smart factory visions reported in the literature, but also link the crucial characteristics of this emerging manufacturing concept to usual manufacturing...

  16. Becoming a smart student

    DEFF Research Database (Denmark)

    Lundqvist, Ulla

    as smart and favoured by the teacher are at risk of being ostracized by peers, of encountering greater pressure for classroom performance and of suffering reduced learning opportunities. The study inspires teachers to create wiggle room for their students by becoming aware of the conventional definitions......English abstract When teachers and students interact in everyday academic activities, some students are ascribed social roles as “smart”, which lead other students to contest these roles. Such struggles around what it means to be smart and which students come to be viewed as smart are a pertinent...... problem for students, teachers and educational scholars, because they create social inequities in schools. This study explores how smart student roles evolve over the course of fourth -, fifth -, and sixth form classes in a Danish primary school. Theoretically, the study draws from the frameworks...

  17. Test Your Sodium Smarts

    Science.gov (United States)

    ... You may be surprised to learn how much sodium is in many foods. Sodium, including sodium chloride ... foods with little or no salt. Test your sodium smarts by answering these 10 questions about which ...

  18. Smart Energy Europe

    DEFF Research Database (Denmark)

    Connolly, David; Mathiesen, Brian Vad; Lund, Henrik

    2015-01-01

    in excess of 80% are possible in the electricity sector. Hence, this approach is one potential solution that will enable the European energy system to significantly reduce its carbon emissions. In this study, the Smart Energy System approach is applied to Europe, which achieves two key objectives: firstly......, it demonstrates the type of technical changes required in the EU energy system by presenting the technologies and their synergies in the Smart Energy System approach and secondly, this study quantifies the scale of each technology required to achieve a 100% renewable energy system in Europe. The results indicate...... that a 100% renewable energy system is technically feasible in Europe using the Smart Energy System approach, assuming technologies develop according to industry’s current expectations. Furthermore, the results show that the 100% renewable Smart Energy System will have similar costs as a fossil fuel...

  19. Smart Location Mapping

    Science.gov (United States)

    The Smart Location Database, Access to Jobs and Workers via Transit, and National Walkability Index tools can help assess indicators related to the built environment, transit accessibility, and walkability.

  20. Guest Editorial - Smart materials

    Czech Academy of Sciences Publication Activity Database

    Barber, Z. H.; Clyne, T. W.; Šittner, Petr

    2014-01-01

    Roč. 30, 13a (2014), s. 1515-1516 ISSN 0267-0836 Institutional support: RVO:68378271 Keywords : smart materials * shape memory effect ( SME ) Subject RIV: BM - Solid Matter Physics ; Magnetism Impact factor: 0.995, year: 2014

  1. Technology Roadmaps: Smart Grids

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    The development of Technology Roadmaps: Smart Grids -- which the IEA defines as an electricity network that uses digital and other advanced technologies to monitor and manage the transport of electricity from all generation sources to meet the varying electricity demands of end users -- is essential if the global community is to achieve shared goals for energy security, economic development and climate change mitigation. Unfortunately, existing misunderstandings of exactly what smart grids are and the physical and institutional complexity of electricity systems make it difficult to implement smart grids on the scale that is needed. This roadmap sets out specific steps needed over the coming years to achieve milestones that will allow smart grids to deliver a clean energy future.

  2. Technical Integration of SMART Pilot Plant

    Energy Technology Data Exchange (ETDEWEB)

    Kim, S. H.; Park, P. H.; Noh, P. C. (and others)

    2006-12-15

    Preliminary experimental tests were carried out using the thermal-hydraulic integral test facility, VISTA (Experimental Verification by Integral Simulation of Transients and Accidents), which has been constructed to simulate the SMART-P. The VISTA facility is an integral test facility including the primary and secondary systems as well as safety-related Passive Residual heat removal (PRHR) systems. The integrated SMART desalination plant consists of Multi Effect Distillation Process combined with Thermal-Vapor Compressor(MED-TVC) and coupled with the extracted steam from turbine through the steam transformer. Steam transformer produces the main pressure steam and supplies to the MED-TVC unit. MED-TVC was selected as a desalination process coupled with SMART, since the thermal vapor compression is very effective where the steam is available at high temperature and pressure conditions than required in the evaporator. The standard design of the SMART desalination plant is under development as a part of the SMART project. This report describes design concept of these systems and their requirements.

  3. A hybrid ICT-solution for smart meter data analytics

    DEFF Research Database (Denmark)

    Liu, Xiufeng; Nielsen, Per Sieverts

    2016-01-01

    Smart meters are increasingly used worldwide. Smart meters are the advanced meters capable of measuring energy consumption at a fine-grained time interval, e.g., every 15 min. Smart meter data are typically bundled with social economic data in analytics, such as meter geographic locations, weather...... conditions and user information, which makes the data sets very sizable and the analytics complex. Data mining and emerging cloud computing technologies make collecting, processing, and analyzing the so-called big data possible. This paper proposes an innovative ICT-solution to streamline smart meter data...... analytics. The proposed solution offers an information integration pipeline for ingesting data from smart meters, a scalable platform for processing and mining big data sets, and a web portal for visualizing analytics results. The implemented system has a hybrid architecture of using Spark or Hive for big...

  4. Investigating impacts of natural and human-induced environmental changes on hydrological processes and flood hazards using a GIS-based hydrological/hydraulic model and remote sensing data

    Science.gov (United States)

    Wang, Lei

    Natural and human-induced environmental changes have been altering the earth's surface and hydrological processes, and thus directly contribute to the severity of flood hazards. To understand these changes and their impacts, this research developed a GIS-based hydrological and hydraulic modeling system, which incorporates state-of-the-art remote sensing data to simulate flood under various scenarios. The conceptual framework and technical issues of incorporating multi-scale remote sensing data have been addressed. This research develops an object-oriented hydrological modeling framework. Compared with traditional lumped or cell-based distributed hydrological modeling frameworks, the object-oriented framework allows basic spatial hydrologic units to have various size and irregular shape. This framework is capable of assimilating various GIS and remotely-sensed data with different spatial resolutions. It ensures the computational efficiency, while preserving sufficient spatial details of input data and model outputs. Sensitivity analysis and comparison of high resolution LIDAR DEM with traditional USGS 30m resolution DEM suggests that the use of LIDAR DEMs can greatly reduce uncertainty in calibration of flow parameters in the hydrologic model and hence increase the reliability of modeling results. In addition, subtle topographic features and hydrologic objects like surface depressions and detention basins can be extracted from the high resolution LiDAR DEMs. An innovative algorithm has been developed to efficiently delineate surface depressions and detention basins from LiDAR DEMs. Using a time series of Landsat images, a retrospective analysis of surface imperviousness has been conducted to assess the hydrologic impact of urbanization. The analysis reveals that with rapid urbanization the impervious surface has been increased from 10.1% to 38.4% for the case study area during 1974--2002. As a result, the peak flow for a 100-year flood event has increased by 20% and

  5. The Smart Wind Turbine

    OpenAIRE

    Halimi, Wissam; Salzmann, Christophe; Gillet, Denis

    2015-01-01

    Remote experimentation is at the core of Science Technology Engineering and Mathematics education supported by e-learning. The development and integration of remote labo- ratories in online learning activities is hindered by the inherited supporting infrastructure’s architecture and implementation. In this paper we present a remote experiment (The Smart Wind Tur- bine) built following the Smart Device Paradigm and integrated in an Inquiry Learning Space: the rich open educational resource def...

  6. Psychological Functions of Semiotic Borders in Sense-Making: Liminality of Narrative Processes.

    Science.gov (United States)

    De Luca Picione, Raffaele; Valsiner, Jaan

    2017-08-01

    In this paper we discuss the semiotic functions of the psychological borders that structure the flow of narrative processes. Each narration is always a contextual, situated and contingent process of sensemaking, made possible by the creation of borders, such as dynamic semiotic devices that are capable of connecting the past and the future, the inside and the outside, and the me with the non-me. Borders enable us to narratively construct one's own experiences using three inherent processes: contextualization, intersubjective positioning and setting of pertinence. The narrative process - as a subjective articulation of signs in a contingent social context - involves several functions of semiotic borders: separation, differentiation, distinction-making, connection, articulation and relation-enabling. The relevant psychological aspect highlighted here is that a border is a semiotic device which is required for both maintaining stability and inducing transformation at the same time. The peculiar dynamics and the semiotic structure of borders generate a liminal space, which is characterized by instability, by a blurred space-time distinction and by ambiguities in the semantic and syntactic processes of sensemaking. The psychological processes that occur in liminal space are strongly affectively loaded, yet it is exactly the setting and activation of liminality processes that lead to novelty and creativity and enable the creation of new narrative forms.

  7. Psychological Functions of Semiotic Borders in Sense-Making: Liminality of Narrative Processes

    Directory of Open Access Journals (Sweden)

    Raffaele De Luca Picione

    2017-08-01

    Full Text Available In this paper we discuss the semiotic functions of the psychological borders that structure the flow of narrative processes. Each narration is always a contextual, situated and contingent process of sensemaking, made possible by the creation of borders, such as dynamic semiotic devices that are capable of connecting the past and the future, the inside and the outside, and the me with the non-me. Borders enable us to narratively construct one’s own experiences using three inherent processes: contextualization, intersubjective positioning and setting of pertinence. The narrative process – as a subjective articulation of signs in a contingent social context – involves several functions of semiotic borders: separation, differentiation, distinction-making, connection, articulation and relation-enabling. The relevant psychological aspect highlighted here is that a border is a semiotic device which is required for both maintaining stability and inducing transformation at the same time. The peculiar dynamics and the semiotic structure of borders generate a liminal space, which is characterized by instability, by a blurred space-time distinction and by ambiguities in the semantic and syntactic processes of sensemaking. The psychological processes that occur in liminal space are strongly affectively loaded, yet it is exactly the setting and activation of liminality processes that lead to novelty and creativity and enable the creation of new narrative forms.

  8. Smart meter status report from Toronto

    International Nuclear Information System (INIS)

    O'Brien, D.

    2006-01-01

    An update of Toronto Hydro's smart metering program was presented. Electricity demand is expected to keep increasing, and there is presently insufficient generation to match supply needs in Ontario. The smart metering program was introduced to aid in the Ontario government's energy conservation strategy, as well as to address peak supply problems that have led to power outages. It is expected that the smart metering program will reduce provincial peak supply by 5 per cent, as the meters support both time-of-use rates and critical peak pricing. Over 800,000 smart meters will be supplied to customers by 2007, and all 4.3 million homes in Toronto will have a smart meter by 2010. In order to meet targets for 2010, the utility will continue to install more 15,000 meters each month for the next 4 years. While the Ontario government has planned and coordinated the rollout and developed smart metering specifications and standards, Toronto Hydro is responsible for the purchase, installation, operation and maintenance of the meters. Advance testing of each meter is needed to ensure billing accuracy, and customer education on meter use is also. The complexity of the metering program has led the utility to establish a rigid project management process. Customer education pilot program are currently being conducted. Experience gained during the earlier phases of the program have enabled the utility to select appropriate metering systems based on density, topography and physical conditions. Project expenditures have been within budget due to improved project estimating and planning. The metering program has been conducted in tandem with the utility's peakSAVER program, a residential and small commercial load control program that has been successful in reducing summer peak demand by cycling air conditioners without causing discomfort. It was concluded that the utility will continue with its mass deployment of smart meters, and is currently preparing its call center to handled

  9. Redefining smart city concept with resilience approach

    Science.gov (United States)

    Arafah, Y.; Winarso, H.

    2017-06-01

    The smart city concept originally aimed at dealing with various urban problems, in particular, those related to the urban environment and infrastructure, such as modeling transport flow in a city. As it developed, the concept is now widely used to accelerate the process of urban management by using IT technology and by the availability of big data. However, the smart city discourses are still debated. There is a number of critical literature on the discourses; some are more concerned with the use and development of information communication technology (ICT). ICT and modern technology are considered the key aspect of the smart city concept. Meanwhile, others emphasize the importance of the people who operate the technology. Very few, if any, literature emphasizes the importance of resilience in the smart city discourse. The city as a complex system should have the ability to be resilient, especially when technology fails either due to technical/man-made or natural disasters. This paper aims to redefine the smart city concept in urban planning through a literature study in the context of planning using a resilience approach. This paper describes and defines what the smart city concept is, what it means, as well as explains the relation and linkage of the importance of using resilience approach in defining the smart city. Factors of resilience will lead to a soft infrastructure approach, such as enhancement in many aspects, e.g. community capacity, social and human capital, knowledge inclusion, participation, social innovation, and social equity. Discussion and analysis are conducted through a deep literature study using systematic literature review methodology.

  10. Developing an undergraduate geography course on digital image processing of remotely sensed data

    Science.gov (United States)

    Baumann, P. R.

    1981-01-01

    Problems relating to the development of a digital image processing course in an undergraduate geography environment is discussed. Computer resource requirements, course prerequisites, and the size of the study area are addressed.

  11. WPS-based technology for client-side remote sensing data processing

    Directory of Open Access Journals (Sweden)

    E. Kazakov

    2015-04-01

    that the processing servers could play the role of the clients connecting to the service supply server. The study was partially supported by Russian Foundation for Basic Research (RFBR, research project No. 13-05-12079 ofi_m.

  12. Flexible Description Language for HPC based Processing of Remote Sense Data

    Science.gov (United States)

    Nandra, Constantin; Gorgan, Dorian; Bacu, Victor

    2016-04-01

    When talking about Big Data, the most challenging aspect lays in processing them in order to gain new insight, find new patterns and gain knowledge from them. This problem is likely most apparent in the case of Earth Observation (EO) data. With ever higher numbers of data sources and increasing data acquisition rates, dealing with EO data is indeed a challenge [1]. Geoscientists should address this challenge by using flexible and efficient tools and platforms. To answer this trend, the BigEarth project [2] aims to combine the advantages of high performance computing solutions with flexible processing description methodologies in order to reduce both task execution times and task definition time and effort. As a component of the BigEarth platform, WorDeL (Workflow Description Language) [3] is intended to offer a flexible, compact and modular approach to the task definition process. WorDeL, unlike other description alternatives such as Python or shell scripts, is oriented towards the description topologies, using them as abstractions for the processing programs. This feature is intended to make it an attractive alternative for users lacking in programming experience. By promoting modular designs, WorDeL not only makes the processing descriptions more user-readable and intuitive, but also helps organizing the processing tasks into independent sub-tasks, which can be executed in parallel on multi-processor platforms in order to improve execution times. As a BigEarth platform [4] component, WorDeL represents the means by which the user interacts with the system, describing processing algorithms in terms of existing operators and workflows [5], which are ultimately translated into sets of executable commands. The WorDeL language has been designed to help in the definition of compute-intensive, batch tasks which can be distributed and executed on high-performance, cloud or grid-based architectures in order to improve the processing time. Main references for further

  13. The active electric sense of weakly electric fish: from electric organ discharge to sensory processing and behaviour

    Directory of Open Access Journals (Sweden)

    Krahe Rüdiger

    2016-01-01

    Full Text Available Sensory systems have been shaped by evolution to extract information that is relevant for decision making. In order to understand the mechanisms used by sensory systems for filtering the incoming stream of sensory input, it is important to have a quantitative understanding of the natural sensory scenes that are to be processed. Weakly electric fish lead a rather cryptic nocturnal life in often turbid tropical rainforest streams. They produce electric discharges and sense perturbations of their selfgenerated electric field for prey detection and navigation, and also use their active sense for communication in the context of courtship and aggression. The fact that they produce their electric signals throughout day and night permits the use of electrode arrays to track the movements of multiple individual fish and monitor their communication interactions, thus offering a window into their electrosensory world. This approach yields unprecedented access to information on the biology of these fishes and also on the statistical properties of the sensory scenes that are to be processed by their electrosensory system. The electrosensory system shares many organizational features with other sensory systems, in particular, the use of multiple topographic maps. In fact, the sensory surface (the skin is represented in three parallel maps in the hindbrain, with each map covering the receptor organ array with six different cell types that project to the next higher level of processing. Thus, the electroreceptive body surface is represented a total of 18 times in the hindbrain, with each representation having its specific filter properties and degree of response plasticity. Thus, the access to the sensory world of these fish as well as the manifold filtering of the sensory input makes these fish an excellent model system for exploring the cell-intrinsic and network characteristics underlying the extraction of behaviourally relevant sensory information.

  14. Smart portable rehabilitation devices

    Directory of Open Access Journals (Sweden)

    Leahey Matt

    2005-07-01

    demonstrated that they were able to meet their design objectives. The prototypes of portable rehabilitation devices presented here did demonstrate that these concepts are capable of the performance their commercially available but non-portable counterparts exhibit. Conclusion Smart, portable devices with the ability for real time monitoring and adjustment open a new era in rehabilitation where the recovery process could be dramatically improved.

  15. Diagonalizing sensing matrix of broadband RSE

    International Nuclear Information System (INIS)

    Sato, Shuichi; Kokeyama, Keiko; Kawazoe, Fumiko; Somiya, Kentaro; Kawamura, Seiji

    2006-01-01

    For a broadband-operated RSE interferometer, a simple and smart length sensing and control scheme was newly proposed. The sensing matrix could be diagonal, owing to a simple allocation of two RF modulations and to a macroscopic displacement of cavity mirrors, which cause a detuning of the RF modulation sidebands. In this article, the idea of the sensing scheme and an optimization of the relevant parameters will be described

  16. Does smart home technology prevent falls in community-dwelling older adults: a literature review.

    Science.gov (United States)

    Pietrzak, Eva; Cotea, Cristina; Pullman, Stephen

    2014-01-01

    Falls in older Australians are an increasingly costly public health issue, driving the development of novel modes of intervention, especially those that rely on computer-driven technologies. The aim of this paper was to gain an understanding of the state of the art of research on smart homes and computer-based monitoring technologies to prevent and detect falls in the community-dwelling elderly. Cochrane, Medline, Embase and Google databases were searched for articles on fall prevention in the elderly using pre-specified search terms. Additional papers were searched for in the reference lists of relevant reviews and by the process of 'snowballing'. Only studies that investigated outcomes related to falling such as fall prevention and detection, change in participants' fear of falling and attitudes towards monitoring technology were included. Nine papers fulfilled the inclusion criteria. The following outcomes were observed: (1) older adults' attitudes towards fall detectors and smart home technology are generally positive; (2) privacy concerns and intrusiveness of technology were perceived as less important to participants than their perception of health needs and (3) unfriendly and age-inappropriate design of the interface may be one of the deciding factors in not using the technology. So far, there is little evidence that using smart home technology may assist in fall prevention or detection, but there are some indications that it may increase older adults' confidence and sense of security, thus possibly enabling aging in place.

  17. MEMS- and NEMS-based smart devices and systems

    Science.gov (United States)

    Varadan, Vijay K.

    2001-11-01

    The microelectronics industry has seen explosive growth during the last thirty years. Extremely large markets for logic and memory devices have driven the development of new materials, and technologies for the fabrication of even more complex devices with features sized now don at the sub micron and nanometer level. Recent interest has arisen in employing these materials, tools and technologies for the fabrication of miniature sensors and actuators and their integration with electronic circuits to produce smart devices and systems. This effort offers the promise of: 1) increasing the performance and manufacturability of both sensors and actuators by exploiting new batch fabrication processes developed including micro stereo lithographic an micro molding techniques; 2) developing novel classes of materials and mechanical structures not possible previously, such as diamond like carbon, silicon carbide and carbon nanotubes, micro-turbines and micro-engines; 3) development of technologies for the system level and wafer level integration of micro components at the nanometer precision, such as self-assembly techniques and robotic manipulation; 4) development of control and communication systems for MEMS devices, such as optical and RF wireless, and power delivery systems, etc. A novel composite structure can be tailored by functionalizing carbon nano tubes and chemically bonding them with the polymer matrix e.g. block or graft copolymer, or even cross-linked copolymer, to impart exceptional structural, electronic and surface properties. Bio- and Mechanical-MEMS devices derived from this hybrid composite provide a new avenue for future smart systems. The integration of NEMS (NanoElectroMechanical Systems), MEMS, IDTs (Interdigital Transducers) and required microelectronics and conformal antenna in the multifunctional smart materials and composites results in a smart system suitable for sensing and control of a variety functions in automobile, aerospace, marine and civil

  18. Smart Grid Integration Laboratory

    Energy Technology Data Exchange (ETDEWEB)

    Troxell, Wade [Colorado State Univ., Fort Collins, CO (United States)

    2011-12-22

    The initial federal funding for the Colorado State University Smart Grid Integration Laboratory is through a Congressionally Directed Project (CDP), DE-OE0000070 Smart Grid Integration Laboratory. The original program requested in three one-year increments for staff acquisition, curriculum development, and instrumentation all which will benefit the Laboratory. This report focuses on the initial phase of staff acquisition which was directed and administered by DOE NETL/ West Virginia under Project Officer Tom George. Using this CDP funding, we have developed the leadership and intellectual capacity for the SGIC. This was accomplished by investing (hiring) a core team of Smart Grid Systems engineering faculty focused on education, research, and innovation of a secure and smart grid infrastructure. The Smart Grid Integration Laboratory will be housed with the separately funded Integrid Laboratory as part of CSU's overall Smart Grid Integration Center (SGIC). The period of performance of this grant was 10/1/2009 to 9/30/2011 which included one no cost extension due to time delays in faculty hiring. The Smart Grid Integration Laboratory's focus is to build foundations to help graduate and undergraduates acquire systems engineering knowledge; conduct innovative research; and team externally with grid smart organizations. Using the results of the separately funded Smart Grid Workforce Education Workshop (May 2009) sponsored by the City of Fort Collins, Northern Colorado Clean Energy Cluster, Colorado State University Continuing Education, Spirae, and Siemens has been used to guide the hiring of faculty, program curriculum and education plan. This project develops faculty leaders with the intellectual capacity to inspire its students to become leaders that substantially contribute to the development and maintenance of Smart Grid infrastructure through topics such as: (1) Distributed energy systems modeling and control; (2) Energy and power conversion; (3

  19. From Smart Metering to Smart Grid

    Science.gov (United States)

    Kukuča, Peter; Chrapčiak, Igor

    2016-06-01

    The paper deals with evaluation of measurements in electrical distribution systems aimed at better use of data provided by Smart Metering systems. The influence of individual components of apparent power on the power loss is calculated and results of measurements under real conditions are presented. The significance of difference between the traditional and the complex evaluation of the electricity consumption efficiency by means of different definitions of the power factor is illustrated.

  20. Towards the Smart World. Smart Platform: Infrastructure and Analytics

    CSIR Research Space (South Africa)

    Velthausz, D

    2012-10-01

    Full Text Available In this presentation the author outlines the 'smart world' concept and how technology (smart infrastructure, analytics) can foster smarter cities, smarter regions and a smarter world....

  1. Smart Demand Response Based on Smart Homes

    Directory of Open Access Journals (Sweden)

    Jingang Lai

    2015-01-01

    Full Text Available Smart homes (SHs are crucial parts for demand response management (DRM of smart grid (SG. The aim of SHs based demand response (DR is to provide a flexible two-way energy feedback whilst (or shortly after the consumption occurs. It can potentially persuade end-users to achieve energy saving and cooperate with the electricity producer or supplier to maintain balance between the electricity supply and demand through the method of peak shaving and valley filling. However, existing solutions are challenged by the lack of consideration between the wide application of fiber power cable to the home (FPCTTH and related users’ behaviors. Based on the new network infrastructure, the design and development of smart DR systems based on SHs are related with not only functionalities as security, convenience, and comfort, but also energy savings. A new multirouting protocol based on Kruskal’s algorithm is designed for the reliability and safety of the SHs distribution network. The benefits of FPCTTH-based SHs are summarized at the end of the paper.

  2. SMART SUSTAINABLE ISLANDS VS SMART SUSTAINABLE CITIES

    Directory of Open Access Journals (Sweden)

    D. N. Pantazis

    2017-09-01

    Full Text Available This paper has several aims: a the presentation of a critical analysis of the terms “smart sustainable cities” and “smart sustainable islands” b the presentation of a number of principles towards to the development methodological framework of concepts and actions, in a form of a manual and actions guide, for the smartification and sustainability of islands. This kind of master plan is divided in thematic sectors (key factors which concern the insular municipalities c the creation of an island’s smartification and sustainability index d the first steps towards the creation of a portal for the presentation of our smartification actions manual, together with relative resources, smart applications examples, and, in the near future the first results of our index application in a number of Greek islands and e the presentation of some proposals of possible actions towards their sustainable development and smartification for the municipalities - islands of Paros and Antiparos in Greece, as case studies.

  3. NASA Cold Land Processes Experiment (CLPX 2002/03): Airborne remote sensing

    Science.gov (United States)

    Don Cline; Simon Yueh; Bruce Chapman; Boba Stankov; Al Gasiewski; Dallas Masters; Kelly Elder; Richard Kelly; Thomas H. Painter; Steve Miller; Steve Katzberg; Larry. Mahrt

    2009-01-01

    This paper describes the airborne data collected during the 2002 and 2003 Cold Land Processes Experiment (CLPX). These data include gamma radiation observations, multi- and hyperspectral optical imaging, optical altimetry, and passive and active microwave observations of the test areas. The gamma observations were collected with the NOAA/National Weather Service Gamma...

  4. How Do People with Learning Disabilities Experience and Make Sense of the Ageing Process?

    Science.gov (United States)

    Newberry, Gayle; Martin, Carol; Robbins, Lorna

    2015-01-01

    Background: Not enough is currently known about how people with learning disabilities experience and understand the ageing process. This is particularly important as the population of older people with learning disabilities is growing due to increased life expectancy. This article draws on the first author's doctoral research study, which aimed to…

  5. Optimization of chemical composition in the manufacturing process of flotation balls based on intelligent soft sensing

    Directory of Open Access Journals (Sweden)

    Dučić Nedeljko

    2016-01-01

    Full Text Available This paper presents an application of computational intelligence in modeling and optimization of parameters of two related production processes - ore flotation and production of balls for ore flotation. It is proposed that desired chemical composition of flotation balls (Mn=0.69%; Cr=2.247%; C=3.79%; Si=0.5%, which ensures minimum wear rate (0.47 g/kg during copper milling is determined by combining artificial neural network (ANN and genetic algorithm (GA. Based on the results provided by neuro-genetic combination, a second neural network was derived as an ‘intelligent soft sensor’ in the process of white cast iron production. The proposed ANN 12-16-12-4 model demonstrated favourable prediction capacity, and can be recommended as a ‘intelligent soft sensor’ in the alloying process intended for obtaining favourable chemical composition of white cast iron for production of flotation balls. In the development of intelligent soft sensor data from the two real production processes was used. [Projekat Ministarstva nauke Republike Srbije, br. TR35037 i br. TR35015

  6. Remote-Sensing Data Distribution and Processing in the Cloud at the ASF DAAC

    Science.gov (United States)

    Stoner, C.; Arko, S. A.; Nicoll, J. B.; Labelle-Hamer, A. L.

    2016-12-01

    The Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC) has been tasked to archive and distribute data from both SENTINEL-1 satellites and from the NASA-ISRO Synthetic Aperture Radar (NISAR) satellite in a cost effective manner. In order to best support processing and distribution of these large data sets for users, the ASF DAAC enhanced our data system in a number of ways that will be detailed in this presentation.The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band Synthetic Aperture Radar (SAR) imaging, enabling them to acquire imagery regardless of the weather. SENTINEL-1A was launched by the European Space Agency (ESA) in April 2014. SENTINEL-1B is scheduled to launch in April 2016.The NISAR satellite is designed to observe and take measurements of some of the planet's most complex processes, including ecosystem disturbances, ice-sheet collapse, and natural hazards such as earthquakes, tsunamis, volcanoes and landslides. NISAR will employ radar imaging, polarimetry, and interferometry techniques using the SweepSAR technology employed for full-resolution wide-swath imaging. NISAR data files are large, making storage and processing a challenge for conventional store and download systems.To effectively process, store, and distribute petabytes of data in a High-performance computing environment, ASF took a long view with regard to technology choices and picked a path of most flexibility and Software re-use. To that end, this Software tools and services presentation will cover Web Object Storage (WOS) and the ability to seamlessly move from local sunk cost hardware to public cloud, such as Amazon Web Services (AWS). A prototype of SENTINEL-1A system that is in AWS, as well as a local hardware solution, will be examined to explain the pros and cons of each. In preparation for NISAR files which will be even larger than SENTINEL-1A, ASF has embarked on a number of cloud

  7. Processing the Interspecies Quorum-sensing Signal Autoinducer-2 (AI-2)

    Energy Technology Data Exchange (ETDEWEB)

    J Marques; P Lamosa; C Russell; R Ventura; C Maycock; M Semmelhack; S Miller; K Xavier

    2011-12-31

    The molecule (S)-4,5-dihydroxy-2,3-pentanedione (DPD) is produced by many different species of bacteria and is the precursor of the signal molecule autoinducer-2 (AI-2). AI-2 mediates interspecies communication and facilitates regulation of bacterial behaviors such as biofilm formation and virulence. A variety of bacterial species have the ability to sequester and process the AI-2 present in their environment, thereby interfering with the cell-cell communication of other bacteria. This process involves the AI-2-regulated lsr operon, comprised of the Lsr transport system that facilitates uptake of the signal, a kinase that phosphorylates the signal to phospho-DPD (P-DPD), and enzymes (like LsrG) that are responsible for processing the phosphorylated signal. Because P-DPD is the intracellular inducer of the lsr operon, enzymes involved in P-DPD processing impact the levels of Lsr expression. Here we show that LsrG catalyzes isomerization of P-DPD into 3,4,4-trihydroxy-2-pentanone-5-phosphate. We present the crystal structure of LsrG, identify potential catalytic residues, and determine which of these residues affects P-DPD processing in vivo and in vitro. We also show that an lsrG deletion mutant accumulates at least 10 times more P-DPD than wild type cells. Consistent with this result, we find that the lsrG mutant has increased expression of the lsr operon and an altered profile of AI-2 accumulation and removal. Understanding of the biochemical mechanisms employed by bacteria to quench signaling of other species can be of great utility in the development of therapies to control bacterial behavior.

  8. Estimation of maize yield by using a process-based model and remote sensing data in the Northeast China Plain

    Science.gov (United States)

    Yao, Fengmei; Tang, Yanjing; Wang, Peijuan; Zhang, Jiahua

    Climate change significantly impact on agriculture in recent year, the accurate estimation of crop yield is of great importance for the food security. In this study, a process-based mechanism model was modified to estimate yield of C4 crop by modifying the carbon metabolic pathway in the photosynthesis sub-module of the RS-P-YEC (Remote-Sensing-Photosynthesis-Yield estimation for Crops) model. The yield was calculated by multiplying net primary productivity (NPP) and the harvest index (HI) derived from the ratio of grain to stalk yield. The modified RS-P-YEC model was used to simulate maize yield in the Northeast China Plain during the period 2002-2011. The 111 statistical data of maize yield from study area was used to validate the simulated results at county-level. The results showed that the Pearson correlation coefficient (R) was 0.827 (p yield and the statistical data, and the root mean square error (RMSE) was 712 kg/ha with a relative error (RE) of 9.3%. From 2002 to 2011, the yield of maize planting zone in the Northeast China Plain was increasing with smaller coefficient of variation (CV). The spatial pattern of simulated maize yield was consistent with the actual distribution in the Northeast China Plain, with an increasing trend from the northeast to the southwest. Hence the results demonstrated that the modified process-based model coupled with remote sensing data was suitable for yield prediction of maize in the Northeast China Plain at the spatial scale.

  9. Electromagnetic Field Assessment as a Smart City Service: The SmartSantander Use-Case.

    Science.gov (United States)

    Diez, Luis; Agüero, Ramón; Muñoz, Luis

    2017-05-31

    Despite the increasing presence of wireless communications in everyday life, there exist some voices raising concerns about their adverse effects. One particularly relevant example is the potential impact of the electromagnetic field they induce on the population's health. Traditionally, very specialized methods and devices (dosimetry) have been used to assess the strength of the E-field, with the main objective of checking whether it respects the corresponding regulations. In this paper, we propose a complete novel approach, which exploits the functionality leveraged by a smart city platform. We deploy a number of measuring probes, integrated as sensing devices, to carry out a characterization embracing large areas, as well as long periods of time. This unique platform has been active for more than one year, generating a vast amount of information. We process such information, and the obtained results validate the whole methodology. In addition, we discuss the variation of the E-field caused by cellular networks, considering additional information, such as usage statistics. Finally, we establish the exposure that can be attributed to the base stations within the scenario under analysis.

  10. Real time explosive hazard information sensing, processing, and communication for autonomous operation

    Science.gov (United States)

    Versteeg, Roelof J; Few, Douglas A; Kinoshita, Robert A; Johnson, Doug; Linda, Ondrej

    2015-02-24

    Methods, computer readable media, and apparatuses provide robotic explosive hazard detection. A robot intelligence kernel (RIK) includes a dynamic autonomy structure with two or more autonomy levels between operator intervention and robot initiative A mine sensor and processing module (ESPM) operating separately from the RIK perceives environmental variables indicative of a mine using subsurface perceptors. The ESPM processes mine information to determine a likelihood of a presence of a mine. A robot can autonomously modify behavior responsive to an indication of a detected mine. The behavior is modified between detection of mines, detailed scanning and characterization of the mine, developing mine indication parameters, and resuming detection. Real time messages are passed between the RIK and the ESPM. A combination of ESPM bound messages and RIK bound messages cause the robot platform to switch between modes including a calibration mode, the mine detection mode, and the mine characterization mode.

  11. Real time explosive hazard information sensing, processing, and communication for autonomous operation

    Energy Technology Data Exchange (ETDEWEB)

    Versteeg, Roelof J.; Few, Douglas A.; Kinoshita, Robert A.; Johnson, Douglas; Linda, Ondrej

    2015-12-15

    Methods, computer readable media, and apparatuses provide robotic explosive hazard detection. A robot intelligence kernel (RIK) includes a dynamic autonomy structure with two or more autonomy levels between operator intervention and robot initiative A mine sensor and processing module (ESPM) operating separately from the RIK perceives environmental variables indicative of a mine using subsurface perceptors. The ESPM processes mine information to determine a likelihood of a presence of a mine. A robot can autonomously modify behavior responsive to an indication of a detected mine. The behavior is modified between detection of mines, detailed scanning and characterization of the mine, developing mine indication parameters, and resuming detection. Real time messages are passed between the RIK and the ESPM. A combination of ESPM bound messages and RIK bound messages cause the robot platform to switch between modes including a calibration mode, the mine detection mode, and the mine characterization mode.

  12. Studies on distributed sensing and processing for the control of large flexible spacecraft

    Science.gov (United States)

    Montgomery, Raymond C.; Ghosh, Dave

    1991-01-01

    Technology is being developed to process signals from distributed sensors using distributed computations. These distributed sensors provide a new feedback capability for vibration control that has not been exploited. Additionally, the sensors proposed are of an optical and distributed nature and could be employed with known techniques of distributed optical computation (Fourier optics, etc.) to accomplish the control system functions of filtering and regulation in a distributed computer. This paper reviews a procedure for the analytic design of control systems for this application. For illustration, the procedure is applied to the problem of suppressing the vibrations of a simply supported beam. A simulator has been developed to study the effects of sensor and processing errors. An extensive study of the effects of these errors on estimation and regulation performance is presented.

  13. Gas sensing properties of nanocrystalline metal oxide powders produced by thermal decomposition and mechanochemical processing

    OpenAIRE

    Kersen, Ülo

    2003-01-01

    The objective of this research, was the synthesis of LaFeO3 and SnO2 fine powders for the subsequent preparation of thick film gas sensors. On producing fine metal oxide powders, often it is not possible to ensure separation of the particles during the synthesis, resulting in the formation of highly agglomerated material. In addition, there are often high synthetic costs associated with the powders obtained by these methods. Thermal decomposition and mechanochemical processing methods wer...

  14. Sensors Technology and Advanced Signal Processing Concepts for Layered Warfare/Layered Sensing

    Science.gov (United States)

    2010-04-01

    Representative Operational System MMSE – Minimum Mean Squared Error MNS – MIST National Systems MOE – Margin of Error MOPS – Measures of Performance...assuming pulse to pulse invariance of the ground clutter. Additionally, Doppler processing is employed to further suppress clutter returns and...matrix via the minimum mean squared- error ( MMSE ) estimate as [F-l - F-3],   1   ⁄ ⁄ ; , , , (F-3) where G indicates the use of guard cells. The Xi in

  15. Influential Aspects of the Smart City

    Energy Technology Data Exchange (ETDEWEB)

    Marinovici, Maria C.; Kirkham, Harold; Widergren, Steven E.

    2016-01-05

    Using millions of sensors in everyday objects, smart cities will generate petabytes of data, and it will be delivered to multiple users via networks. Multi-disciplinary inter-operability is essential. We propose system engineering management, with multidisciplinary teams as an effective way to deliver real change. Their goal is to develop intelligent and integrated services through the use of digital technologies and open collaboration. We also caution that the process cannot be entirely planned ahead of time, it must be allowed to evolve. New technology will change the game (where does a 3-D printer fit into a smart city?). Municipal planning means central planning – not known for its sensitivity to reality. A successful smart city will include lots of feedback mechanisms for the citizenry.

  16. Scenarios for active learning in smart territories

    Directory of Open Access Journals (Sweden)

    Fabrizia Moggio

    2013-05-01

    Full Text Available This work is intended to foster a “quantum leap” in the reflection on learning in smart cities/territories. We try to move from a vision according to which education is identified with “infrastructures and services” needed to sustain the smart city “organism” (due also to the social capital that it may produce toward a “new” vision that recovers the founding role of the educative processes, through which the relationships between persons and inhabited territories are continuously reshaped. According to that we present: a a strategic and methodological approach focused on museal field and narrative as key elements of future "learning from smart cities"; b a model of an advanced integrated technological environment (mobile, web, internet of things designed to support such an approach. The need for a different approach to the monitoring of complex learning experiences is also underlined.

  17. The literacy process and the production of sense in written speech

    Directory of Open Access Journals (Sweden)

    Cecilia M. A. Goulart

    2015-02-01

    Full Text Available The study aims at understanding aspects of children’s literacy process based on the analysis of traces of a child’s thought processes concerning the production of a written text. The aim is to highlight the presence of the subject in language, considering the opacity of reality and language. A written text of a 5 year-old child was selected from the database of our research group, due to its originality of construction. Theoretical and methodological guidelines make use of aspects of Bakhtin’s enunciation theory, of the history of writing and of the relation between oral and written language. The use of indicial knowledge is based on the method of knowledge whose strength is grounded in the observation of revealing details. The analysis of the child’s text shows how different representational systems coexist in her efforts to convey meaning by writing. Systems governed by distinct organizational principles are used with varying functions; the same function may sometimes present instabilities in its uses. Different signs are used considering the interlocutor and the social audience (Bakhtin, 1998. These findings support the view that learning to write involves knowing the alphabetical principle of language as well as the complex web of other knowledge bearing on the production of language having social value. It is important to understand learning of writing as a process presenting instabilities and stabilities, and children as persons who are capable of learning in complex ways.

  18. Enhanced Environment Interaction with Use of RFID Smart Labels

    Directory of Open Access Journals (Sweden)

    Nejc SUHADOLNIK

    2016-02-01

    Full Text Available Smart labels are devices with sensors which can interact with existing RIFD (radio frequency identification infrastructure. Sensors can be integrated in tag chips or can be connected externally. Smart labels have been used in numerous applications to improve transportation and product control. In this work we have summarized some of our applications in which smart tags are used to enhance interaction with environment. Smart labels can be used to control temperature in fish supply cold chain, control fruit ripening process in plantation, control medical staff disinfection in hospitals or be used to measure sweat contents on a patch worn on human skin. We presented a smart tag with digital sensor interface and two example sensor nodes. First with 4 environmental sensors and second with accelerometer and gyroscope. The sensor nodes have been used for wireless data collection.

  19. Impact of Smart Grid Technologies on Peak Load to 2050

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    The IEA's Smart Grids Technology Roadmap identified five global trends that could be effectively addressed by deploying smart grids. These are: increasing peak load (the maximum power that the grid delivers during peak hours), rising electricity consumption, electrification of transport, deployment of variable generation technologies (e.g. wind and solar PV) and ageing infrastructure. Along with this roadmap, a new working paper -- Impact of Smart Grid Technologies on Peak Load to 2050 -- develops a methodology to estimate the evolution of peak load until 2050. It also analyses the impact of smart grid technologies in reducing peak load for four key regions; OECD North America, OECD Europe, OECD Pacific and China. This working paper is a first IEA effort in an evolving modelling process of smart grids that is considering demand response in residential and commercial sectors as well as the integration of electric vehicles.

  20. A Prediction-based Smart Meter Data Generator

    DEFF Research Database (Denmark)

    Iftikhar, Nadeem; Liu, Xiufeng; Nordbjerg, Finn Ebertsen

    2016-01-01

    With the prevalence of cloud computing and In-ternet of Things (IoT), smart meters have become one of the main components of smart city strategy. Smart meters generate large amounts of fine-grained data that is used to provide useful information to consumers and utility companies for decision......-making. Now-a-days, smart meter analytics systems consist of analytical algorithms that process massive amounts of data. These analytics algorithms require ample amounts of realistic data for testing and verification purposes. However, it is usually difficult to obtain adequate amounts of realistic data......, mainly due to privacy issues. This paper proposes a smart meter data generator that can generate realistic energy consumption data by making use of a small real-world dataset as seed. The generator generates data using a prediction-based method that depends on historical energy consumption patterns along...

  1. A CONCEPTUAL MULTIDIMENSIONAL MODEL FOR ASSESSING SMART SUSTAINABLE CITIES

    Directory of Open Access Journals (Sweden)

    Sukaina Al-Nasrawi

    2015-12-01

    Full Text Available The concept of Smart Sustainable Cities (SSC is gaining increasing attention by the countries around the globe, particularly in response to potential future environmental challenges and increased proportion of populations living in cities. Several countries claim to have implemented or in the process of implementing SSCs, and there are many models that can be used to measure how 'smart' the initiatives and cities are. This paper critically evaluates the main models to measure city smartness and identifies deficiencies, namely that they are not sensitive to the needs, resources, priorities and wider context for individual cities. The paper suggests a multidimensional methodological model that assists in evaluating the smartness level of a city while being sensitive to its context. It provides further contribution by combining sustainable and smart attributes of a city

  2. Smart cards: a specific application in the hospital.

    Science.gov (United States)

    Güler, I; Zengin, R M; Sönmez, M

    1998-12-01

    Computers have the ability to process and access tremendous amounts of information in our daily lives. But, now, individuals have this ability by carrying a smart card in their own wallets. These cards provide us the versatility, power, and security of computers. This study begins with a short description of smart cards and their advantages. Then, an electronic circuit that is designed for healthcare application in hospitals is introduced. This circuit functions as a smart card holder identifier, access controller for hospital doors and also can be used as a smart card reader/writer. Design steps of this electronic circuit, operation principles, serial communication with P.C., and the software are examined. Finally a complete access control network for hospital doors that functions with smart cards is discussed.

  3. Market Acceptance of Smart Growth

    Science.gov (United States)

    This report finds that smart growth developments enjoy market acceptance because of stability in prices over time. Housing resales in smart growth developments often have greater appreciation than their conventional suburban counterparts.

  4. The Future of Smart Cards.

    Science.gov (United States)

    Fickes, Michael

    2000-01-01

    Discusses the evolution of smart cards from digital signatures and other innovations into the realm of magnetic-stripe cards to expand their applications. Examples of magnetic-strip smart card usage are examined. (GR)

  5. CITYkeys Smart city performance measurement system

    NARCIS (Netherlands)

    Huovila, A.; Airaksinen, M.; Pinto-Seppa, I.; Piira, K.; Bosch, P.R.; Penttinen, T.; Neumann, H.M.; Kontinakis, N.

    2017-01-01

    Cities are tackling their economic, social and environmental challenges through smart city solutions. To demonstrate that these solutions achieve the desired impact, an indicator-based assessment system is needed. This paper presents the process of developing CITYkeys performance measurement system

  6. Justification of the Utility of Introducing Smart Meters in Latvia

    Science.gov (United States)

    Kunickis, M.; Dandens, A.; Bariss, U.

    2015-12-01

    Automatic data reading from smart meters is being developed in many parts of the world, including Latvia. The key drivers for that are developments of smart technologies and economic benefits for consumers. Deployment of smart meters could be launched in a massive scale. Several pilot projects were implemented to verify the feasibility of smart meters for individual consumer groups. Preliminary calculations indicate that installation of smart meters for approximately 23 % of electricity consumers would be economically viable. Currently, the data for the last two years is available for an in-depth mathematical analysis. The continuous analysis of consumption data would be established, when more measurements from smart meters are available. The extent of introduction of smart meters should be specified during this process in order to gain the maximum benefit for the whole society (consumers, grid companies, state authorities), because there are still many uncertain and variable factors. For example, it is necessary to consider statistical load variations by hour, dependence of electricity consumption on temperature fluctuations, consumer behaviour and demand response to market signals to reduce electricity consumption in the short and long term, consumer's ambitions and capability to install home automation for regulation of electricity consumption. To develop the demand response, it is necessary to analyse the whole array of additional factors, such as expected cost reduction of smart meters, possible extension of their functionality, further development of information exchange systems, as well as standard requirements and different political and regulatory decisions regarding the reduction of electricity consumption and energy efficiency.

  7. Optimization study of the SMART integrated seawater desalination plant

    Energy Technology Data Exchange (ETDEWEB)

    Hwang, Y. D.; Kang, H. O.; Kim, Y. I.; Lee, D. J.; Jang, M. H. [KAERI, Taejon (Korea, Republic of); Hong, J. M. [DOOSAN Heavy Industries and Construction CO. LTD., Changwon (Korea, Republic of)

    2001-10-01

    This study was performed to investigate optimal coupling between SMART and desalination plant which meets the electricity and water production requirements of the SMART nuclear desalination plant. Optimal performance parameter and the interfacing conditions between SMART and desalination plant were established through the thermodynamic analysis for the selected desalination process, MED-TVC. Also, a series of sensitivity studies on water production cost were performed for the capacity factor, discount rate and the overnight construction cost of SMART. Currently, SMART desalination plant MED-TVC unit is designed with the performance ratio of 15 and unit capacity of 10,000m{sup 3}/day. Steam transformer was installed between SMART secondary system and the desalination plant to protect the desalination plant from the radioactive contamination. In addition, an economic analysis of desalination plant was conducted to investigate the economic viability of the nuclear desalination using SMART. The calculated water production unit costs are in the range of 0.73 {approx} 0.83 ($/m3) for the plant availability of 80% or higher with the discount rate of 8%. This indicates that SMART can be considered as a competitive choice for desalination.

  8. Smart Sensors' Role in Integrated System Health Management

    Science.gov (United States)

    Perotti, Jose M.; Mata, Carlos

    2005-01-01

    During the last decade, there has been a major effort in the aerospace industry to reduce the cost per pond of payload and become competitive in the international market. Competition from Europe, Japan, and China has reduced this cost to almost a third from 1990 to 2000. This cost has leveled in recent years to an average price of around $12,000/pound of payload. One of NASA's goals is to promote the development of technologies to reduce this cost by a factor of 10 or more Exploration of space, specially manned exploration missions, involves very complex launch and flight vehicles, associated ground support systems, and extensive human support during all phases of the mission. When considering the Space Shuttle Program, we can see that vehicle and ground support systems' processing, operation, and maintenance represent a large percentage of the program cost and time. Reducing operating, processing and maintenance costs will greatly reduce the cost of Exploration programs. The Integrated System Health Management (ISHM) concept is one of the technologies that will help reduce these operating, processing and maintenance costs. ISHM is an integrated health monitoring system applicable to both flight and ground systems. It automatically and autonomously acquires information from sensors and actuators and processes that information using the ISHM-embedded knowledge. As a result, it establishes the health of the system based on the acquired information and its prior knowledge. When this concept is fully implemented, ISHM systems shall be able to perform failure prediction and remediation before actual hard failures occurs, preventing its costly consequences. Data sources, sensors, and their associated data acquisition systems, constitute the foundation of the system. A smart sensing architecture is required to support the acquisition of reliable, high quality data, required by the ISHM. A thorough definition of the smart sensor architectures, their embedded diagnostic

  9. Unencapsulated Air-stable Organic Field Effect Transistor by All Solution Processes for Low Power Vapor Sensing

    Science.gov (United States)

    Feng, Linrun; Tang, Wei; Zhao, Jiaqing; Yang, Ruozhang; Hu, Wei; Li, Qiaofeng; Wang, Ruolin; Guo, Xiaojun

    2016-02-01

    With its excellent mechanical flexibility, low-cost and low-temperature processing, the solution processed organic field-effect transistor (OFET) is a promising platform technology for developing ubiquitous sensor applications in digital health, environment monitoring and Internet of Things. However, a contradiction between achieving low voltage operation and having stable performance severely hinder the technology to become commercially viable. This work shows that, by reducing the sub-gap density of states (DOS) at the channel for low operation voltage and using a proper low-k non-polar polymer dielectric layer, such an issue can be addressed. Stable electrical properties after either being placed for weeks or continuously prolonged bias stressing for hours in ambient air are achieved for all solution processed unencapsulated OFETs with the channel being exposed to the ambient air for analyte detection. The fabricated device presents a steep subthreshold swing less than 100 mV/decade, and an ON/OFF ratio of 106 at a voltage swing of 3 V. The low voltage and stable operation allows the sensor made of the OFET to be incorporated into a battery-powered electronic system for continuously reliable sensing of ammonia vapor in ambient air with very small power consumption of about 50 nW.

  10. Effect of acid-sensing ion channel 1a on the process of liver fibrosis under hyperglycemia

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Huan, E-mail: wanghuan7@126.com [School of Pharmacy, Anhui Medical University, Hefei, 230032 (China); Institute for Liver Diseases of Anhui Medical University (AMU), Anhui Medical University, Hefei, 230032 (China); Wang, Ying-hong; Yang, Feng; Li, Xiao-feng; Tian, Yuan-yao; Ni, Ming-ming; Zuo, Long-quan; Meng, Xiao-Ming [School of Pharmacy, Anhui Medical University, Hefei, 230032 (China); Institute for Liver Diseases of Anhui Medical University (AMU), Anhui Medical University, Hefei, 230032 (China); Huang, Yan, E-mail: aydhy@126.com [School of Pharmacy, Anhui Medical University, Hefei, 230032 (China); Institute for Liver Diseases of Anhui Medical University (AMU), Anhui Medical University, Hefei, 230032 (China)

    2015-12-25

    Metabolic syndrome characterized by hyperglycemia contributes to nonalcoholic steatohepatitis-associated liver fibrosis. This study was to investigate the effects of Acid-sensing ion Channel 1a (ASIC1a) on the process of liver fibrosis under hyperglycemia. Results showed that high glucose significantly worsen the pathology of liver fibrosis in vivo. In vitro, high glucose stimulated proliferation, activation and extracellular matrix (ECM) production in HSCs, and enhanced the effect of PDGF-BB on the activation and proliferation of HSCs. These effects could be attenuated by ASIC1a specific inhibitor Psalmotoxin-1(PcTx1) or specific ShRNA for ASIC1a through Notch1/Hes-1 pathways. These data indicate that ASIC1a plays an important role in diabetes complication liver fibrosis. - Highlights: • Hyperglycemia is a risk factor for the process of liver fibrosis. • ASIC1a may be a key factor linking between high glucose and liver fibrosis. • Notch1/Hes-1 may involve to the process of liver fibrosis under hyperglycemia.

  11. Smart Distribution Systems

    Directory of Open Access Journals (Sweden)

    Yazhou Jiang

    2016-04-01

    Full Text Available The increasing importance of system reliability and resilience is changing the way distribution systems are planned and operated. To achieve a distribution system self-healing against power outages, emerging technologies and devices, such as remote-controlled switches (RCSs and smart meters, are being deployed. The higher level of automation is transforming traditional distribution systems into the smart distribution systems (SDSs of the future. The availability of data and remote control capability in SDSs provides distribution operators with an opportunity to optimize system operation and control. In this paper, the development of SDSs and resulting benefits of enhanced system capabilities are discussed. A comprehensive survey is conducted on the state-of-the-art applications of RCSs and smart meters in SDSs. Specifically, a new method, called Temporal Causal Diagram (TCD, is used to incorporate outage notifications from smart meters for enhanced outage management. To fully utilize the fast operation of RCSs, the spanning tree search algorithm is used to develop service restoration strategies. Optimal placement of RCSs and the resulting enhancement of system reliability are discussed. Distribution system resilience with respect to extreme events is presented. Test cases are used to demonstrate the benefit of SDSs. Active management of distributed generators (DGs is introduced. Future research in a smart distribution environment is proposed.

  12. NSTAR Smart Grid Pilot

    Energy Technology Data Exchange (ETDEWEB)

    Rabari, Anil [NSTAR Electric, Manchester, NH (United States); Fadipe, Oloruntomi [NSTAR Electric, Manchester, NH (United States)

    2014-03-31

    NSTAR Electric & Gas Corporation (“the Company”, or “NSTAR”) developed and implemented a Smart Grid pilot program beginning in 2010 to demonstrate the viability of leveraging existing automated meter reading (“AMR”) deployments to provide much of the Smart Grid functionality of advanced metering infrastructure (“AMI”), but without the large capital investment that AMI rollouts typically entail. In particular, a central objective of the Smart Energy Pilot was to enable residential dynamic pricing (time-of-use “TOU” and critical peak rates and rebates) and two-way direct load control (“DLC”) by continually capturing AMR meter data transmissions and communicating through customer-sited broadband connections in conjunction with a standardsbased home area network (“HAN”). The pilot was supported by the U.S. Department of Energy’s (“DOE”) through the Smart Grid Demonstration program. NSTAR was very pleased to not only receive the funding support from DOE, but the guidance and support of the DOE throughout the pilot. NSTAR is also pleased to report to the DOE that it was able to execute and deliver a successful pilot on time and on budget. NSTAR looks for future opportunities to work with the DOE and others in future smart grid projects.

  13. Smart Radiation Therapy Biomaterials.

    Science.gov (United States)

    Ngwa, Wilfred; Boateng, Francis; Kumar, Rajiv; Irvine, Darrell J; Formenti, Silvia; Ngoma, Twalib; Herskind, Carsten; Veldwijk, Marlon R; Hildenbrand, Georg Lars; Hausmann, Michael; Wenz, Frederik; Hesser, Juergen

    2017-03-01

    Radiation therapy (RT) is a crucial component of cancer care, used in the treatment of over 50% of cancer patients. Patients undergoing image guided RT or brachytherapy routinely have inert RT biomaterials implanted into their tumors. The single function of these RT biomaterials is to ensure geometric accuracy during treatment. Recent studies have proposed that the inert biomaterials could be upgraded to "smart" RT biomaterials, designed to do more than 1 function. Such smart biomaterials include next-generation fiducial markers, brachytherapy spacers, and balloon applicators, designed to respond to stimuli and perform additional desirable functions like controlled delivery of therapy-enhancing payloads directly into the tumor subvolume while minimizing normal tissue toxicities. More broadly, smart RT biomaterials may include functionalized nanoparticles that can be activated to boost RT efficacy. This work reviews the rationale for smart RT biomaterials, the state of the art in this emerging cross-disciplinary research area, challenges and opportunities for further research and development, and a purview of potential clinical applications. Applications covered include using smart RT biomaterials for boosting cancer therapy with minimal side effects, combining RT with immunotherapy or chemotherapy, reducing treatment time or health care costs, and other incipient applications. Copyright © 2016 Elsevier Inc. All rights reserved.

  14. Smart energy city critical infrastructures

    OpenAIRE

    Lara, Topol

    2014-01-01

    Smart energy cities have a potential to lead the transition from fossil age into the age of renewables. After a theoretical background is presented, of why the transition is necessary and what steps need to be taken in that direction, this paper brings insight into the paradigm of smart cities. The focus is set on the smart building as its fundamental building block. Fifteen cases of turning Norwegian and Croatian households into smart ones have been analyzed. Those are various combinations o...

  15. Massive Cloud-Based Big Data Processing for Ocean Sensor Networks and Remote Sensing

    Science.gov (United States)

    Schwehr, K. D.

    2017-12-01

    Until recently, the work required to integrate and analyze data for global-scale environmental issues was prohibitive both in cost and availability. Traditional desktop processing systems are not able to effectively store and process all the data, and super computer solutions are financially out of the reach of most people. The availability of large-scale cloud computing has created tools that are usable by small groups and individuals regardless of financial resources or locally available computational resources. These systems give scientists and policymakers the ability to see how critical resources are being used across the globe with little or no barrier to entry. Google Earth Engine has the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra, MODIS Aqua, and Global Land Data Assimilation Systems (GLDAS) data catalogs available live online. Here we demonstrate these data to calculate the correlation between lagged chlorophyll and rainfall to identify areas of eutrophication, matching these events to ocean currents from datasets like HYbrid Coordinate Ocean Model (HYCOM) to check if there are constraints from oceanographic configurations. The system can provide addition ground truth with observations from sensor networks like the International Comprehensive Ocean-Atmosphere Data Set / Voluntary Observing Ship (ICOADS/VOS) and Argo floats. This presentation is intended to introduce users to the datasets, programming idioms, and functionality of Earth Engine for large-scale, data-driven oceanography.

  16. Smart Energy. From the reactive customer administration to a proactive customer management; Smart Energy. Von der reaktiven Kundenverwaltung zum proaktiven Kundenmanagement

    Energy Technology Data Exchange (ETDEWEB)

    Aichele, Christian

    2012-07-01

    In view of the current political debate about the phasing out of nuclear power and about the expansion of renewable energy production no one doubts the need for the implementation of smart energy. In particular, the business processes for Smart Energy, the management of information and the necessary information technology are the focus of the book under consideration. The first chapter of this book gives an overview of the energy industry, the electricity market and on the way to smart energy. The major European and German regulations are presented. Other topics covered in this book are: vision of smart energy, basic information process from the reading of the energy consumption to billing, business processes in the liberalized energy sector, the impact of smart meter technology on energy markets and consumers of energy, efficient use of the customer-relation-management in the energy company, use of dynamic tariffs for customer interaction on the Smart Grid.

  17. A Low-Power Microcontroller with Accuracy-Controlled Event-Driven Signal Processing Unit for Rare-Event Activity-Sensing IoT Devices

    Directory of Open Access Journals (Sweden)

    Daejin Park

    2015-01-01

    Full Text Available A specially designed microcontroller with event-driven sensor data processing unit (EPU is proposed to provide energy-efficient sensor data acquisition for Internet of Things (IoT devices in rare-event human activity sensing applications. Rare-event sensing applications using a remotely installed IoT sensor device have a property of very long event-to-event distance, so that the inaccurate sensor data processing in a certain range of accuracy error is enough to extract appropriate events from the collected sensing data. The proposed signal-to-event converter (S2E as a preprocessor of the conventional sensor interface extracts a set of atomic events with the specific features of interest and performs an early evaluation for the featured points of the incoming sensor signal. The conventional sensor data processing such as DSPs or software-driven algorithm to classify the meaningful event from the collected sensor data could be accomplished by the proposed event processing unit (EPU. The proposed microcontroller architecture enables an energy efficient signal processing for rare-event sensing applications. The implemented system-on-chip (SoC including the proposed building blocks is fabricated with additional 7500 NAND gates and 1-KB SRAM tracer in 0.18 um CMOS process, consuming only 20% compared to the conventional sensor data processing method for human hand-gesture detection.

  18. Smart metering design and applications

    CERN Document Server

    Weranga, K S K; Chandima, D P

    2013-01-01

    Taking into account the present day trends and the requirements, this Brief focuses on smart metering of electricity for next generation energy efficiency and conservation. The contents include discussions on the smart metering concepts and existing technologies and systems as well as design and implementation of smart metering schemes together with detailed examples.

  19. Electromagnetic Interference in Smart Grids

    NARCIS (Netherlands)

    Leferink, Frank; Keyer, Cees

    2017-01-01

    The increasing conducted interference caused by modern electronic equipment is causing more problems for electronic, or static, energy meters. If equipped with a communication link they are called smart meter. Because the smart meter is a key device in smart grids, any deviation has huge impact on

  20. Interated Intelligent Industrial Process Sensing and Control: Applied to and Demonstrated on Cupola Furnaces

    Energy Technology Data Exchange (ETDEWEB)

    Mohamed Abdelrahman; roger Haggard; Wagdy Mahmoud; Kevin Moore; Denis Clark; Eric Larsen; Paul King

    2003-02-12

    The final goal of this project was the development of a system that is capable of controlling an industrial process effectively through the integration of information obtained through intelligent sensor fusion and intelligent control technologies. The industry of interest in this project was the metal casting industry as represented by cupola iron-melting furnaces. However, the developed technology is of generic type and hence applicable to several other industries. The system was divided into the following four major interacting components: 1. An object oriented generic architecture to integrate the developed software and hardware components @. Generic algorithms for intelligent signal analysis and sensor and model fusion 3. Development of supervisory structure for integration of intelligent sensor fusion data into the controller 4. Hardware implementation of intelligent signal analysis and fusion algorithms