Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004.最新文献_第2页

EBRP: energy band based routing protocol for wireless sensor networks EBRP:基于能量带的无线传感器网络路由协议

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417439

S. Madiraju, C. Mallanda, R. Kannan, A. Durresi, S. Iyengar

引用次数: 30

AmbientRT - real time system software support for data centric sensor networks 支持以数据为中心的传感器网络的实时系统软件

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417438

T. J. Hofmeijer, S. Dulman, P. Jansen, P. Havinga

引用次数: 45

Design of wireless intelligent sensor for structural health monitoring 结构健康监测无线智能传感器的设计

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417428

Yan Yu, J. Ou

引用次数: 11

An automatic method of coarse registration between multi-source satellite images 一种多源卫星图像间的自动粗配准方法

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417463

Zhang Zhaohui, Pan Chunhong, M. Songde

引用次数: 11

Fibre optic sensor for recording of action potentials 动作电位记录用光纤传感器

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417487

I. Provazník, M. Nováková, M. Blaha, M. Chmelař, Z. Veselý

引用次数: 1

LACON: localized autonomic configuration in pervasive sensor networks LACON:普适传感器网络中的局部自主配置

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417433

M. Iqbal, I. Gondal, Laurence S. Dooley, M. Iqbal, I. Gondal, Laurence S. Dooley

{"title":"LACON: localized autonomic configuration in pervasive sensor networks","authors":"M. Iqbal, I. Gondal, Laurence S. Dooley, M. Iqbal, I. Gondal, Laurence S. Dooley","doi":"10.1109/ISSNIP.2004.1417433","DOIUrl":"https://doi.org/10.1109/ISSNIP.2004.1417433","url":null,"abstract":"The success of a pervasive sensor network (PSN) of ubiquitous loco-dynamic devices mainly depends on its ability to configure itself according to the environment and the available resources to achieve optimum performance. This self configuring property is indispensable as ad hoc devices are usually exposed to natural or man-made disasters due to the hostile deployment of such networks. The most common dynamics posing a reconfiguration requirement are addition, failure and replacement of critical component devices. In addition to self configuration, the network must be able to monitor these dynamics in an autonomous way in order to take proactive measures for smooth re-configuration of the network, with minimal degradation in quality of service (QoS) provision. The paper presents a comprehensive model for monitoring and reconfiguring sensor networks and provides measures to mitigate network impairments. The results confirm that the proposed self configuring model adopts optimized design parameters and maintains QoS even for highly ad hoc networks.","PeriodicalId":147043,"journal":{"name":"Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004.","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116695491","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: 18

Neural network-based intelligent sensor operating in harsh environment 基于神经网络的恶劣环境下的智能传感器

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417451

J. Patra, Ee-Luang Ang, A. Das

引用次数: 0

Fusion aspects of the rapid route and area mine neutralisation (RRAMNS) mine detection system 快速路径和区域地雷中和(RRAMNS)地雷探测系统的融合方面

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417460

C. Abeynayake, I. Chant, S. Kenipinger

引用次数: 0

Analog CMOS implementation of a bursting oscillator with depressing synapse 具有抑制突触的爆发振荡器的模拟CMOS实现

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417512

K. Nakada, T. Asai, Y. Amemiya

引用次数: 9

Extracting tactical information from acoustic signals 从声信号中提取战术信息

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Pub Date : 2004-12-14 DOI: 10.1109/ISSNIP.2004.1417453

B. Ferguson, K. Lo

{"title":"Extracting tactical information from acoustic signals","authors":"B. Ferguson, K. Lo","doi":"10.1109/ISSNIP.2004.1417453","DOIUrl":"https://doi.org/10.1109/ISSNIP.2004.1417453","url":null,"abstract":"Smart acoustic sensor systems can be deployed for the automatic detection, localization, classification and tracking of military activities, which are inherently noisy. Acoustic sensors are appealing because they are passive, affordable, robust. and compact. Also, the propagation of sound energy is not limited by obstacles, which block or obscure the clear line of sight that is required for the effective operation of electromagnetic systems. Methods, with examples, for extracting tactical information from acoustic signals emitted by moving sources (air and ground vehicles) are provided for both single sensor and multiple sensor configurations. The methods are based on processing either the narrowband or broadband spectral components of the source's acoustic signature. For example, the tactical information extracted by narrowband processing of single sensor data for a moving source is the source speed, slant range and time at the closest point of approach, as well as the source (or rest) frequency of the narrowband signal. For an array of sensors, the tactical information consists of estimates of a complete set of target motion parameters, which indicate the speed and trajectory of the source. Weapon firings generate acoustic impulses and supersonic projectiles generate acoustic shocks, which can be localized and classified using spatially distributed acoustic sensors. The methods developed for land-based acoustic surveillance using microphone data are also applied to hydrophone data for passive acoustic surveillance of the underwater environment.","PeriodicalId":147043,"journal":{"name":"Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115648276","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: 9