2006 5th IEEE Conference on Sensors最新文献

Novel Biomolecular Finger Printing with an Active Dual-Band Antenna Biosensor 基于有源双波段天线生物传感器的新型生物分子指纹识别技术

2006 5th IEEE Conference on Sensors Pub Date : 2006-12-01 DOI: 10.1109/ICSENS.2007.355742

Nan-Fu Chiu, Yang-Hung Liang, Chii-Wann Lin

引用次数: 1

Flexible Multimodal Tactile Sensing System for Object Identification 用于物体识别的柔性多模态触觉传感系统

2006 5th IEEE Conference on Sensors Pub Date : 2006-12-01 DOI: 10.1109/ICSENS.2007.355530

J. Engel, N. Chen, C. Tucker, Chang Liu, Sung-Hoon Kim, D. Jones

引用次数: 35

Smart microplates: integrated photodiodes for detecting bead-based chemiluminescent reactions 智能微孔板:集成光电二极管，用于检测基于珠的化学发光反应

2006 5th IEEE Conference on Sensors Pub Date : 2006-12-01 DOI: 10.1109/ICSENS.2007.355534

Y. Park, M. Andringa, D. Neikirk, H. S. Hewage, E. Anslyn

引用次数: 3

Interacting Particle-Based Model for Missing Data in Sensor Networks: Foundations and Applications 基于交互粒子的传感器网络缺失数据模型:基础与应用

2006 5th IEEE Conference on Sensors Pub Date : 2006-10-22 DOI: 10.1109/ICSENS.2007.355610

F. Koushanfar, N. Kiyavash, M. Potkonjak

{"title":"Interacting Particle-Based Model for Missing Data in Sensor Networks: Foundations and Applications","authors":"F. Koushanfar, N. Kiyavash, M. Potkonjak","doi":"10.1109/ICSENS.2007.355610","DOIUrl":"https://doi.org/10.1109/ICSENS.2007.355610","url":null,"abstract":"Missing data is unavoidable in sensor networks due to sensor faults, communication malfunctioning and malicious attacks. There is a very little insight in missing data causes and statistical and pattern properties of missing data in collected data streams. To address this problem, we utilize interacting-particle model that takes into account both patterns of missing data at individual sensor data streams as well as the correlation between occurrence of missing data at other sensor data streams. The model can be used in algorithms and protocols for energy efficient data collection and other tasks in presence of missing data. We use statistical intersensor models for predicting the readings of different sensors. As a driver application, we address the problem of energy efficient sensing by adaptively coordinating the sleep schedules of sensor nodes while we guarantee that values of nodes in the sleep mode can be recovered from the awake nodes within a user's specified error bound and probability of missing data at awake nodes is less than a given threshold. The sleeping coordination is addressed by creating the maximal number of subgroups of disjoint nodes, each of whose data is sufficient to recover the data of the entire network in presence of missing data. On simulated and actually collected data for temperature and humidity sensors in Intel Berkeley Lab, we show that by using sleeping coordination that considers missing data, we reduce the typical 40% missing data rate of traditional sleeping techniques to less than 7%.","PeriodicalId":233838,"journal":{"name":"2006 5th IEEE Conference on Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131282133","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: 3

Thin SQI NEMS accelerometers compatible with In-IC integration 薄SQI NEMS加速度计兼容In-IC集成

2006 5th IEEE Conference on Sensors Pub Date : 2006-10-22 DOI: 10.1109/ICSENS.2007.355716

E. Oilier, L. Duraffourg, M. Delaye, S. Deneuville, V. Nguyen, P. Andreucci, H. Grange, P. Robert, F. Marchi, R. Dianoux, T. Baron

引用次数: 3

Transferrin Electronic Detector for Iron Disease Diagnostics 铁疾病诊断用转铁蛋白电子检测仪

2006 5th IEEE Conference on Sensors Pub Date : 2006-10-22 DOI: 10.1109/ICSENS.2007.355509

A. Girard, F. Bendriaa, O. de Sagazan, M. Harnois, F. le Bihan, A. Salaun, T. Mohammed‐Brahim, P. Brissot, O. Loréal

引用次数: 6

Staggered Sampling for Energy Efficient Data Collection 能源效率数据收集的交错采样

2006 5th IEEE Conference on Sensors Pub Date : 2006-10-22 DOI: 10.1109/ICSENS.2007.355584

J. Wong, S. Megerian, M. Potkonjak

{"title":"Staggered Sampling for Energy Efficient Data Collection","authors":"J. Wong, S. Megerian, M. Potkonjak","doi":"10.1109/ICSENS.2007.355584","DOIUrl":"https://doi.org/10.1109/ICSENS.2007.355584","url":null,"abstract":"Efficient and complete data collection is one of the most important tasks in wireless ad-hoc sensor networks. Additionally, the collection of the full data set should be performed in the most resource efficient way, thus prolonging the battery lifetime of the network. We introduce a new approach for energy efficient data collection through the use of staggered sampling. Staggered sampling means that at each sampling moment (epoch) only a small percentage of sensors collect (sample) data. The proposed approach leverages on statistical relationships between samples taken from different sensors and/or at different epochs for the prediction of the non-sampled sensor data. The main goal of the approach is to ensure complete collection of data during a periodic cycle while minimizing the number of sensor readings collected at any point in time. Complete data collection is confirmed by ensuring that each sensor is either sampled at each epoch or the data sample can be accurately recovered though model prediction of the sampled sensors. The proposed approach consists of two main phases. First, efficient modeling of the prediction relationship between two sensors using kernel smoothing over different time lags is performed. Second, the selection of epochs at which each sensor is to sample the data is determined. A 0-1 integer linear programming formulation is used to address this NP-complete assignment problem optimally on relatively large instances. We demonstrate the effectiveness of the approach on traces from actually deployed networks for sensor of two modalities: temperature and humidity.","PeriodicalId":233838,"journal":{"name":"2006 5th IEEE Conference on Sensors","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128031143","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

Multifunctional CMC/silicone composite sensor elements as the tactile and proximity sensors 多功能CMC/硅酮复合传感器元件作为触觉和接近传感器

2006 5th IEEE Conference on Sensors Pub Date : 2006-10-01 DOI: 10.1109/ICSENS.2007.355875

H. Natsuhara, T. Katsuno, X. Chen, S. Yang, S. Motojima, M. Takaki, T. Kuzuya, K. Kawabe

引用次数: 6

A CMOS Micromachined Gripper Array with On-Chip Optical Detection 带有片上光学检测的CMOS微机械夹持器阵列

2006 5th IEEE Conference on Sensors Pub Date : 2006-10-01 DOI: 10.1109/ICSENS.2007.355712

M.S.-C. Lu, Chi-En Lu, Zhong-Hong Wu, Chun‐Fu Chen, Shi-Yu Huang, Y. King

引用次数: 3

Sensitive and Selective Photo Acoustic Gas Sensor Suitable for High Volume Manufacturing 适用于大批量生产的灵敏、选择性光声气体传感器

2006 5th IEEE Conference on Sensors Pub Date : 2006-10-01 DOI: 10.1109/ICSENS.2007.355563

K. Schjølberg-Henriksen, A. Ferber, S. Moe, D.T. Wang, R. W. Bernstein, H. Rogne, O. Schulz, G. Muller, M. Lloyd, Karl-Heinz Suphan

引用次数: 5