2008 3rd International Conference on Sensing Technology最新文献_第10页

Study of surface-modified lipid/polymer membranes for detecting sweet taste substances 表面改性脂质/聚合物膜检测甜味物质的研究

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757178

Hong-sheng Cui, M. Habara, H. Ikezaki, K. Toko

引用次数: 4

Infrared fiber-optic sensor for non-contact temperature measurements 用于非接触式温度测量的红外光纤传感器

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757156

W. Yoo, D. Cho, K. Jang, S. Shin, J. Seo, Soon-Cheol Chung, G. Tack, Bongsoo Lee, B. Park, J. Moon, Sin Kim

引用次数: 4

Controller design by dynamic output sensing for linear partly-quantized feedback control systems 线性部分量化反馈控制系统的动态输出感知控制器设计

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757113

V.S. Nejad, J. Askari, S. Hosseinia

引用次数: 1

Making a simple structured large rated load force sensor 制造结构简单的大额定负载力传感器

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757159

H. Wakiwaka, R. Kobayashi, K. Tashiro, Y. Nakamoto, Tsuyoshi Kawata

引用次数: 1

Adaptive reduction of motion artefact in wireless physiological monitoring microsystems 无线生理监测微系统中运动伪影的自适应减小

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757161

Yi-Shiang Ou Yang, Wen-Ching Lee, T. Ke, Chia-Ping Wei, Chin-Cheng Lee

引用次数: 4

MBIR reflectance spectrometry for deep trench structure with ANN and Levenberg-Marquardt combined algorithm 基于神经网络和Levenberg-Marquardt联合算法的深沟结构MBIR反射光谱分析

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757104

Chuanwei Zhang, Shiyuan Liu, T. Shi

引用次数: 3

C-ERROR simulator for development for sensor and location aware sensing applications C-ERROR模拟器用于传感器和位置感知传感应用的开发

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757098

V. Iyer, R. Murthy, M. Srinivas, B. Hochet

{"title":"C-ERROR simulator for development for sensor and location aware sensing applications","authors":"V. Iyer, R. Murthy, M. Srinivas, B. Hochet","doi":"10.1109/ICSENST.2008.4757098","DOIUrl":"https://doi.org/10.1109/ICSENST.2008.4757098","url":null,"abstract":"Distributed wireless sensor applications are useful for visualizing spatially and geographically related data such as location, neighborhood, weather, and measuring specific changes in the environment. Desires to augment these interfaces with additional specifications needed for distributed applications such as Power-Aware, Fault-tolerance and Processor agnostic deployment requirements have led to create a custom distributed Network Embedded Test-Bed that locally aggregate the measured signal from individual sensors and send it to a central coordinator for combined processing. We envision publishing and querying real-time (e.g. from sensors) over such distributed sensor farm applications which are deployed wirelessly and form a large sensor network. Existing solutions, although useful for writing the simple applications mentioned above, have several drawbacks in achieving this vision. First, publishing even a single stream of data as a useful service is a non-trivial task. Much useful data is not being stored yet because the need for managing a sensor farm has lots of complexities which make them unreliable in terms of polling time and communications costs. Second, existing applications are mutually incompatible and are processor centric and needs many ports which may introduce un-reliability. Third communication costs are not scalable to handle a sensor farm application and it does not provide an easy way to extend such a Network Embedded Test-Bed. The Network Embedded Test-Bed project aims to address these challenges, we like to model existing applications needs into a cross layer sensor network simulator called C-ERROR(Cross Layer Reusable Resource Optimized Routing) which allows different clustering algorithms to be integrated and measure its performance at each layer of the stack. To have a platform independent sensor OS and a scheduler which allows creating sensing tasks that have real-time constraints.","PeriodicalId":6299,"journal":{"name":"2008 3rd International Conference on Sensing Technology","volume":"22 1","pages":"192-199"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90958880","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

Vision-based particle velocity measurement in granular gas-solid flows with special focus on knowledge transfer 基于视觉的颗粒气固流速度测量，特别关注知识转移

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757092

A. Fuchs, H. Zangl, D. Watzenig, P. Dollfuss

引用次数: 2

A clustered response mechanism to discover the topology of wireless sensor networks with an application to network management at faulty and operational state of nodes 一种用于无线传感器网络拓扑发现的集群响应机制，并应用于节点故障状态和运行状态下的网络管理

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757082

M. N. Al-Ameen

{"title":"A clustered response mechanism to discover the topology of wireless sensor networks with an application to network management at faulty and operational state of nodes","authors":"M. N. Al-Ameen","doi":"10.1109/ICSENST.2008.4757082","DOIUrl":"https://doi.org/10.1109/ICSENST.2008.4757082","url":null,"abstract":"To efficiently manage the sensor networks the topology of the entire network has to be discovered by the monitoring node. In this paper a topology discovery algorithm for sensor networks has been described. The algorithm finds a set of distinguished nodes, using whose neighborhood information the approximate topology of the network is constructed. Only these distinguished nodes reply back to the topology discovery probes. These nodes logically organize the network in the form of clusters comprising nodes in their neighborhood. Topology discovery algorithms form a tree of clusters rooted at the monitoring node, which initiates the topology discovery process. This organization is used for efficient data dissemination and aggregation, duty cycle assignment and fault tolerance of the network system. The unpredictable behaviors of sensor networks have made it a vital point that how the operational nodes will be managed when a node in the network fails. In this paper fault tolerance mechanisms for sensor networks have been described for clustered response approach on considering different scenarios that may come to consideration when a node fails; thus ensuring maximum connectivity among operational nodes after the failure of the node. The mechanism explains how the information packets transmitted to the faulty node can be cached by an operational node. After being repaired the faulty node is reinstalled to operational state and the mechanisms of getting the repaired node connected to the network have been described in this paper. Reverse traverse mechanism has been described in this paper as a part of fault tolerance mechanisms, which ensures that the number of clusters is not increased when a faulty node is repaired and re-connected to the network. The mechanisms described in this paper are distributed and highly scalable.","PeriodicalId":6299,"journal":{"name":"2008 3rd International Conference on Sensing Technology","volume":"26 1","pages":"98-106"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89630043","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

Thick film of CuGeO3 as a H2S gas sensor CuGeO3厚膜作为H2S气体传感器

2008 3rd International Conference on Sensing Technology Pub Date : 2008-11-01 DOI: 10.1109/ICSENST.2008.4757080

Y. Baste, A. Borhade, V. Gaikwad, G. Jain, D. D. Kajale

引用次数: 0