2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)最新文献_第8页

A control system for a low power bidirectional front-end for resonating sensors 一种用于谐振传感器的低功耗双向前端控制系统

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000112

L. Marchetti, Y. Berg, O. Mirmotahari, M. Azadmehr

引用次数: 3

Multi-objective balanced partitioning method for marine sensor network 海洋传感器网络多目标均衡划分方法

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000157

Dongmei Huang, Chenyixuan Xu, Danfeng Zhao, Wei Song, Qi He

{"title":"Multi-objective balanced partitioning method for marine sensor network","authors":"Dongmei Huang, Chenyixuan Xu, Danfeng Zhao, Wei Song, Qi He","doi":"10.1109/ICNSC.2017.8000157","DOIUrl":"https://doi.org/10.1109/ICNSC.2017.8000157","url":null,"abstract":"Existing marine sensor networks acquire data in sea areas divided geographically and store them in their own data centers of the sea area independently. In the case of marine disaster across multiple sea areas, which needs to retrieve data from multiple data centers, the current network structure has a serious impact on real-time decision making. To efficiently carry out data layout and speed up the data retrieval, in this study, the marine sensor network is abstracted as a graph, all the sensors are considered as the vertexes of the graph, and the degree of correlation between the sensors computed with the previous disasters data is taken as the edge. A multi-objective optimization algorithm (NSGA-II) is used to partition the abstract graph into multiple regions and store them in a cloud computing platform. The NSGA-II maximizes the correlation of sensor within the region, minimizes the correlation of inter-region, achieves a balanced size of the regions and minimizes communication time of inter-region. The experimental results show that the proposed method can achieve the optimal layout for distributed storage in the process of disaster data retrieval in China Sea area, and effectively shorten the data retrieval time, providing fast and efficient data access service for marine disasters.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130567980","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: 2

BUCKER: A basic unfolding based checker for soundness of workflow systems BUCKER:一个基本的基于展开的检查工作流程系统的健全性

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000161

Kun Zhang, Guanjun Liu, Dongming Xiang

引用次数: 3

Probability of faults for partially observed Timed PNs with temporal constraints 时间约束下部分观测的定时pn故障概率

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000075

D. Lefebvre

引用次数: 0

Detection of falling events through windowing and automatic extraction of sets of rules: Preliminary results 通过窗口和规则集的自动提取来检测掉落事件:初步结果

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000169

Giovanna Sannino, I. D. Falco, G. Pietro

{"title":"Detection of falling events through windowing and automatic extraction of sets of rules: Preliminary results","authors":"Giovanna Sannino, I. D. Falco, G. Pietro","doi":"10.1109/ICNSC.2017.8000169","DOIUrl":"https://doi.org/10.1109/ICNSC.2017.8000169","url":null,"abstract":"Fall detection is very important for the health care especially for elderly people. The automatic discovery of falls in real time with the ability to differentiate them from normal daily activities is crucial. To achieve this aim, this paper proposes an approach based on getting data through a tag placed on the subject's chest, a windowing of the data, the automatic extraction through the DEREx tool of a set of IF-THEN rules able to classify windows as being part of fall or non-fall actions, and a final window composition to assess whether or not each global action was a fall. The approach is then tested on a real-world database containing a set of fall and non-fall actions, and is compared, in terms of classification over windows, against four state-of-the-art machine learning methods. Moreover, its results are also compared, in terms of accuracy in discrimination of the fall actions from the non-fall ones, against those obtained by the database builders through the use of another powerful machine learning algorithm. Numerical results are encouraging, and suggest that the proposed methodology could put solid ground for the design and the implementation of a real-time system for fall detection.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124248130","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

Runtime verification of IoT systems using Complex Event Processing 使用复杂事件处理的物联网系统的运行时验证

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000163

Koray Inçki, Ismail Ari, Hasan Sözer

引用次数: 15

Tight bounds for sketches in traffic validation 在流量验证中对草图的严格限制

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000093

E. López, L. Navarro

引用次数: 3

Agent abstractions for engineering IoT systems: A case study in smart healthcare 工程物联网系统的代理抽象:智能医疗案例研究

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000170

E. Vargiu, F. Zambonelli

引用次数: 7

Analysis of large-scale electric vehicles charging behavior using data visualization 基于数据可视化的大型电动车充电行为分析

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000123

Lin Xiqiao, Yang Zhou

引用次数: 4

An energy management model for energetic communities of Smart Homes: The Power Cloud 智能家居能源社区的能源管理模型:电力云

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI: 10.1109/ICNSC.2017.8000084

G. Belli, G. Brusco, A. Burgio, M. Motta, D. Menniti, A. Pinnarelli, N. Sorrentino

引用次数: 13