2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)最新文献

Coexistence performance model for a large ZigBee lighting sensor network in the 2.4 GHz ISM band 2.4 GHz ISM频段大型ZigBee照明传感器网络共存性能模型

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-03 DOI: 10.1109/ICNSC.2017.8000137

C. Papatsimpa, J. Linnartz

{"title":"Coexistence performance model for a large ZigBee lighting sensor network in the 2.4 GHz ISM band","authors":"C. Papatsimpa, J. Linnartz","doi":"10.1109/ICNSC.2017.8000137","DOIUrl":"https://doi.org/10.1109/ICNSC.2017.8000137","url":null,"abstract":"A ZigBee (802.15.4) lighting network is potentially vulnerable to interference by other wireless technologies that operate in the same Industrial, Scientific and Medical (ISM) frequency band, such as Wi-Fi (802.11). In order to minimize the effect of external interference, nodes can dynamically adapt radio parameters, based on monitoring information about the current spectrum usage and relevant performance metrics. In this work, we provide an accurate model to evaluate the performance of a ZigBee lighting network with multiple nodes under the effect of combined interference (external interference, for example from Wi-Fi, and contention within the ZigBee network itself). The proposed model takes into consideration the ZigBee network size, the back off process and packet re-transmission attempts in the CSMA/CA mechanism, to provide performance metrics given the Wi-Fi interference pattern. We quantify external interference based on a Markov chain model. A detailed analytical model enables interference aware communication protocols to dynamically adjust the protocol parameters in order to achieve the required quality of service.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446692","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: 5

Reliable low-power wireless networks over unstable transmission power 可靠的低功耗无线网络，传输功率不稳定

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-01 DOI: 10.1109/ICNSC.2017.8000193

R. Kotian, Georgios Exarchakos, A. Liotta

引用次数: 4

TSCH schedules assessment TSCH时间表评估

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-01 DOI: 10.1109/ICNSC.2017.8000175

T. Lee, A. Liotta, Georgios Exarchakos

引用次数: 2

Demand side management for peak reduction and PV integration in Qatar 卡塔尔的减峰和光伏整合需求侧管理

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-01 DOI: 10.1109/ICNSC.2017.8000100

I. S. Bayram, M. Koç

{"title":"Demand side management for peak reduction and PV integration in Qatar","authors":"I. S. Bayram, M. Koç","doi":"10.1109/ICNSC.2017.8000100","DOIUrl":"https://doi.org/10.1109/ICNSC.2017.8000100","url":null,"abstract":"The electricity demand in Qatar has grown more than twofold within merely a decade. Highly subsidized electricity tariffs combined with decreased government revenues has urged local authorities to reduce the energy consumption, improve the energy efficiency, and deploy environmentally friendly renewable energy alternatives. In this study, we present the role of demand-side management (DSM) techniques for energy savings and photovoltaic (PV) renewable energy integration. DSM techniques are classified into technological, economical, and social layers. The technology layer has been supported by the government while incentive/pricing based economic layer options are yet to be deployed. To pave the way for such studies, we present evidence from Bahrain's, a neighboring country with similar climate, government and social structures, new pricing policy to show the customer responsiveness on electricity prices. Moreover, we present a case study on how to use direct load control framework during summer months in Qatar. In the last section, we present the output of Qatar's first large-scale PV deployment in Education City. The results show that due to local weather conditions, large-scale PV adoption can easily affect the grid operations and a more responsive load is required to mitigate the potential impacts.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130941115","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: 26

DeepEddy: A simple deep architecture for mesoscale oceanic eddy detection in SAR images DeepEddy:用于SAR图像中尺度海洋涡探测的简单深层架构

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-01 DOI: 10.1109/ICNSC.2017.8000171

Dongmei Huang, Yanling Du, Qi He, Wei Song, A. Liotta

{"title":"DeepEddy: A simple deep architecture for mesoscale oceanic eddy detection in SAR images","authors":"Dongmei Huang, Yanling Du, Qi He, Wei Song, A. Liotta","doi":"10.1109/ICNSC.2017.8000171","DOIUrl":"https://doi.org/10.1109/ICNSC.2017.8000171","url":null,"abstract":"Automatic detection of mesoscale oceanic eddies is in great demand to monitor their dynamics which play a significant role in ocean current circulation and marine climate change. Traditional methods of eddies detection using remotely sensed data are usually based on physical parameters, geometrics, handcrafted features or expert knowledge, they face a great challenge in accuracy and efficiency due to the high variability of oceanic eddies and our limited understanding of their physical process, especially for rich and large remotely sensed data. In this paper, we propose a simple deep architecture DeepEddy to detect oceanic eddies automatically and be free of expert knowledge. DeepEddy can learn high-level and invariant features of oceanic eddies hierarchically. It is designed with two principal component analysis (PCA) convolutional layers for eddies feature learning, a binary hashing layer for non-linear transformation, a feature pooling layer using block-wise histograms and spatial pyramid pooling to resolve the complicated structures and poses of oceanic eddies, and a classifier for the final eddies identification. We verify the accuracy of the architecture with comprehensive experiments on high spatial resolution Synthetic Aperture Radar (SAR) images. We achieve the state-of-the-art accuracy of 96.68%.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121016267","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: 27

An unobtrusive practical method to derive individual's lighting conditions in office environments 一种不引人注目的实用方法，以获得个人在办公环境中的照明条件

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-01 DOI: 10.1109/ICNSC.2017.8000138

J. van Duijnhoven, C. de Bakker, M.P.J. Aarts, A. Rosemann, Helianthe Kort

引用次数: 10

YouPower: An open source platform for community-oriented smart grid user engagement YouPower:面向社区的智能电网用户参与的开源平台

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-01 DOI: 10.1109/ICNSC.2017.8000058

Yilin Huang, Hanna Hasselqvist, Giacomo Poderi, S. Šćepanović, Filip Kis, Cristian Bogdan, M. Warnier, F. Brazier

引用次数: 5

An evacuation model considering human behavior 考虑人类行为的疏散模型

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-01 DOI: 10.1109/ICNSC.2017.8000067

Dezhen Zhang, Ning Shao, Ying Tang

引用次数: 9

Combining smart lighting and radio fingerprinting for improved indoor localization 结合智能照明和无线电指纹识别，改善室内定位

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-08-01 DOI: 10.1109/ICNSC.2017.8000134

L. Kanaris, Akis Kokkinis, A. Liotta, S. Stavrou

引用次数: 10

AAL open source system for the monitoring and intelligent control of nursing homes AAL开源系统，用于养老院的监控和智能控制

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-18 DOI: 10.1109/ICNSC.2017.8000072

R. Usach, Vicente Collado, M. Esteve, C. Palau

{"title":"AAL open source system for the monitoring and intelligent control of nursing homes","authors":"R. Usach, Vicente Collado, M. Esteve, C. Palau","doi":"10.1109/ICNSC.2017.8000072","DOIUrl":"https://doi.org/10.1109/ICNSC.2017.8000072","url":null,"abstract":"IoT can dramatically improve the quality of life of aged population. In this regard, Ambient Assisted Living (AAL) and Active and Healthy Aging (AHA) are fields with an enormous potential to benefit from the current growth of IoT within our society. We present SAFE-ECH, an innovative intelligent AAL open source system for monitoring nursing homes. SAFE-ECH creates an Ambient Intelligent environment in a residence by collecting and storing sensor monitoring data, performing intelligent data analysis and specific actions to enhance the safety, comfort and efficient care of aged people. Our system allows caregivers to access the system to retrieve monitoring information and perform control actions. Our system implements open standards of the Open Geospatial Consortium complying with Observations & Measurements Schema (O&M), SensorML and Sensor Web Enablement (SWE) specifications. A key element is a Sensor Observation Service (SOS) for sensor data collection and management from heterogeneous sensor networks. A Complex Event Processor represents the intelligence of the system. Our system adapts to the specific needs of each nursing home, integrating the required sensors, actuators, rules and services. It is scalable and allows the management of several residences simultaneously.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124114621","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: 8