2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)最新文献

Wireless sensors networks for Internet of Things 物联网无线传感器网络

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2016-06-27 DOI: 10.1109/ISSNIP.2014.6827681

N. Khalil, M. Abid, D. Benhaddou, M. Gerndt

引用次数: 141

Efficient sequential-hierarchical deployment strategy for heterogeneous sensor networks 异构传感器网络的高效顺序分层部署策略

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-06-09 DOI: 10.1109/ISSNIP.2014.6827612

T. D. Groot, O. Krasnov, A. Yarovoy

{"title":"Efficient sequential-hierarchical deployment strategy for heterogeneous sensor networks","authors":"T. D. Groot, O. Krasnov, A. Yarovoy","doi":"10.1109/ISSNIP.2014.6827612","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827612","url":null,"abstract":"An efficient strategy solution is developed for a specific deployment problem in which different types of sensors are required to simultaneously cover the same area of interest. The deployment goal is to select the sensor positions and orientations in such a way that the sensor network coverage is optimized. A general challenge within resource allocation problems is that, even with small-scale sensor networks, the number of possible final deployment solutions expands very fast and the problem becomes intractable. We assume that it is acceptable to trade solution optimality against algorithm speed. In this case, algorithms can be based on greedy and/or divide-and-conquer principles, which both results in good computational efficiency. We developed an efficient algorithm in three steps. Firstly, we developed a global search algorithm, but with improvements that reduce the search space significantly without losing optimality. Secondly, we transformed the global algorithm into a sequential and a hierarchical algorithm for more efficiency at the cost of optimality. Thirdly, we combine the sequential and hierarchical principles into one algorithm which results in even higher efficiency. In the end, the algorithms are evaluated with the use of an extensive testing scheme which generates many random cases for solving.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Wireless strain gauge network — Best-hall measurement case 无线应变计网络- Best-hall测量案例

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827665

Timo Hongell, I. Kivelä, I. Hakala

引用次数: 3

Non-invasive synchronized spatially high-resolution wireless body area network 非侵入式同步空间高分辨率无线体域网络

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827593

U. Ghoshdastider, R. Viga, Michael Kraft

{"title":"Non-invasive synchronized spatially high-resolution wireless body area network","authors":"U. Ghoshdastider, R. Viga, Michael Kraft","doi":"10.1109/ISSNIP.2014.6827593","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827593","url":null,"abstract":"Wireless body sensor networks consisting of EEG, ECG, EMG and acceleration sensors provide assistance to the researchers in cognitive physiology and clinical research as well as in neurophysiology. The data fusion of the electrical activities of muscle structures, e.g. facial muscles, heart and brain combined with the movement data of patients helps to detect nocturnal epileptic seizure in home care application. A mobile, flexible, densely configurable distributed body area network featuring wireless data transmission and a wired time synchronization technique was designed and realized in this work Signal conditioning of each of sensor systems was realized depending on their signal strength and frequency bandwidth. Moreover, synchronization between each of the nodes was achieved with the help of wired USART (universal synchronous/asynchronous receiver/transmitter). All measurement units follow the same synchronization protocol, which is controlled by a master unit. The ExG-system can sample bio-potentials from 125 Hz up to 1000 Hz and it exhibits 1.445 μν peak-to-peak system noise between 0.1 Hz and 500 Hz and can send data with incorporated Wi-Fi module in it to a basis station at a maximum data speed of 1.45 Mbps. A 3-4 cm spatial resolution can be achieved for high-dense EEG during a complete 256 channel deployment.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126060723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Energy efficient transmission strategies for distributed detection in wireless sensor networks 无线传感器网络中分布式检测的节能传输策略

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827669

Daesung Hwang, Hyoungsuk Jeon, J. Ha, Jinho Choi

引用次数: 0

LLCPS: A new secure model for Internet of Things services based on the NFC P2P model LLCPS:基于NFC P2P模式的物联网服务安全新模式

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827682

P. Urien

引用次数: 9

Human action recognition in compressed domain using PBL-McRBFN approach 基于PBL-McRBFN方法的压缩域人体动作识别

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827622

B. Rangarajan, Venkatesh Babu Radhakrishnan

{"title":"Human action recognition in compressed domain using PBL-McRBFN approach","authors":"B. Rangarajan, Venkatesh Babu Radhakrishnan","doi":"10.1109/ISSNIP.2014.6827622","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827622","url":null,"abstract":"Large variations in human actions lead to major challenges in computer vision research. Several algorithms are designed to solve the challenges. Algorithms that stand apart, help in solving the challenge in addition to performing faster and efficient manner. In this paper, we propose a human cognition inspired projection based learning for person-independent human action recognition in the H.264/AVC compressed domain and demonstrate a PBL-McRBFN based approach to help take the machine learning algorithms to the next level. Here, we use gradient image based feature extraction process where the motion vectors and quantization parameters are extracted and these are studied temporally to form several Group of Pictures (GoP). The GoP is then considered individually for two different bench mark data sets and the results are classified using person independent human action recognition. The functional relationship is studied using Projection Based Learning algorithm of the Meta-cognitive Radial Basis Function Network (PBL-McRBFN) which has a cognitive and meta-cognitive component. The cognitive component is a radial basis function network while the Meta-Cognitive Component(MCC) employs self regulation. The McC emulates human cognition like learning to achieve better performance. Performance of the proposed approach can handle sparse information in compressed video domain and provides more accuracy than other pixel domain counterparts. Performance of the feature extraction process achieved more than 90% accuracy using the PBL-McRBFN which catalyzes the speed of the proposed high speed action recognition algorithm. We have conducted twenty random trials to find the performance in GoP. The results are also compared with other well known classifiers in machine learning literature.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124671800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks 利用无线传感器网络对空气污染物进行高分辨率时空监测

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827607

S. Rajasegarar, P. Zhang, Yang Zhou, S. Karunasekera, C. Leckie, M. Palaniswami

{"title":"High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks","authors":"S. Rajasegarar, P. Zhang, Yang Zhou, S. Karunasekera, C. Leckie, M. Palaniswami","doi":"10.1109/ISSNIP.2014.6827607","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827607","url":null,"abstract":"Atmospheric pollutants, such as gases and particulate matters (PM) pose a threat to human health. In particular, there has been a strong focus on particulate matter as it is a common pollutant to cause population health hazards, especially respiratory illness. Monitoring of this pollutant is currently attained at low spatial resolutions due to the cost of accurate sensing devices. Even though these devices are highly accurate, given the distance they are placed apart from each other, the relevance of their measurements to an unmeasured spatial location in between sensors will be very low, which causes large estimation errors. In this paper, we present a solution by creating easy-to-implement wireless sensor network hardware equipped with inexpensive PM sensors to supplement the existing high accurate PM devices to improve estimation accuracy at higher spatial and temporal resolutions. The measurements collected from the real deployments of these sensors are analyzed using spatio-temporal estimation technique to demonstrate the ability to provide accurate estimation at unmeasured locations.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129476360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 32

Ambient Amp: An open framework for dynamically augmenting legacy Websites with context-awareness Ambient Amp:一个开放的框架，用于动态增强具有上下文感知的遗留网站

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827676

D. Carlson, Lukas Ruge

{"title":"Ambient Amp: An open framework for dynamically augmenting legacy Websites with context-awareness","authors":"D. Carlson, Lukas Ruge","doi":"10.1109/ISSNIP.2014.6827676","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827676","url":null,"abstract":"Emerging context frameworks enable Websites to interact with the Internet of Things directly from the browser; however, Websites must be specifically designed to utilize such context framework support. As such, the majority of “legacy” Websites remains context-unaware. This paper presents Ambient Amp, an open framework for dynamically augmenting legacy Websites with context-awareness, without requiring browser extensions, proxies or Website reengineering. Amp provides an extensible Bookmarklet framework that serves as a conduit between the user's browser and a server-side repository of Amp plug-ins, which can be used to dynamically augment any 3rd party Website with new content, adapted behavior and context framework support - enabling augmented Websites to sense the user's physical environment and interact with discovered smart devices. This paper introduces the Amp architecture, its fully operational prototype and an example Amp plug-in that augments a well-known photo sharing Website with the ability to stream selected images to networked media devices discovered in the user's physical environment. We also present a preliminary performance evaluation, which indicates that Amp is suitable for deployment on many commodity mobile devices.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129885083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

An inertial sensor system for measurements of tibia angle with applications to knee valgus/varus detection 一种用于测量胫骨角度的惯性传感器系统，应用于膝关节外翻/内翻检测

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) Pub Date : 2014-04-21 DOI: 10.1109/ISSNIP.2014.6827603

Wenzheng Hu, E. Charry, M. Umer, A. Ronchi, Simon Taylor

{"title":"An inertial sensor system for measurements of tibia angle with applications to knee valgus/varus detection","authors":"Wenzheng Hu, E. Charry, M. Umer, A. Ronchi, Simon Taylor","doi":"10.1109/ISSNIP.2014.6827603","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827603","url":null,"abstract":"Accurate measurement of knee motion during dynamic movements is the key to detect and highlight deficiencies in peripheral muscles and ligaments of the knee and hence to predict the risk of injury. Miniature inertial sensors are increasingly becoming a viable option for human movement measurement, given their small size, low cost and relatively good accuracy compared with traditional optical measurements. A system capable of measuring tibia angle using a shank mounted wireless inertial sensor is proposed. The system employs a simple setup with only one skin-mounted triaxial accelerometer and gyroscope module attached to the tibia segment, and an algorithm to estimate the tibia angle. The accuracy of the system was assessed by an optical tracking system (Optotrak Certus) during dynamic movements performed by three subjects by evaluating Root-Mean-Square Error (RMSE) of tibia-flexion and tibia-adduction angles over the period of motion. We achieve an RMSE of 1.6±1.1 and2.5±1.6 degrees in tibia-flexion and tibia-adduction angles, respectively. It is argued that tibia angle can be reliably used to detect valgus or varus movement of the knee and hence the proposed system provides a simple and useful assessment tool for performance enhancement and rehabilitation.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124454532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14