2011 Fifth International Conference on Sensing Technology最新文献_第7页

Developed urban air quality monitoring system based on wireless sensor networks 开发了基于无线传感器网络的城市空气质量监测系统

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6137040

Jen-Hao Liu, Yu-Fan Chen, Tzu-Shiang Lin, Da-Wei Lai, T. Wen, Chih-Hong Sun, J. Juang, Joe-Air Jiang

{"title":"Developed urban air quality monitoring system based on wireless sensor networks","authors":"Jen-Hao Liu, Yu-Fan Chen, Tzu-Shiang Lin, Da-Wei Lai, T. Wen, Chih-Hong Sun, J. Juang, Joe-Air Jiang","doi":"10.1109/ICSENST.2011.6137040","DOIUrl":"https://doi.org/10.1109/ICSENST.2011.6137040","url":null,"abstract":"Air pollution is one of environmental issues that have been often discussed. The fast-growing population and urbanization result in the population concentrated in certain areas. Heavy transportation may lead to poor air quality, and inhaling pollutants for a long time also causes damages in human health. A traditional air quality monitoring method is to build air quality monitoring stations, but this method is expensive and provides low resolution sensing data. In addition, monitoring stations are generally less densely deployed. This paper proposed an urban air quality monitoring system based on the wireless sensor network (WSN) technology and integrated with the global system for mobile communications. The system consists of sensor node, a gateway, and a back-end platform controlled by the LabVIEW program through which sensing data can be stored in a database. This system is deployed to the main roads in the Taipei city to monitor the carbon monoxide (CO) concentration caused by vehicle emissions. The experimental results show that the proposed system can provide micro-scale air quality monitoring in real-time through the WSN technology.","PeriodicalId":202062,"journal":{"name":"2011 Fifth International Conference on Sensing Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122488460","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: 92

GMR based integrated non-contact voltage sensor for fuel cells monitoring 基于GMR的燃料电池监测集成非接触式电压传感器

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6136941

M. Pannetier-Lecoeur, C. Fermon, A. Giraud

引用次数: 3

New generation of optical robotic sensor applied to small notch detection 用于小缺口检测的新一代光学机器人传感器

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6136982

A. Lay-Ekuakille, N. Giannoccaro, L. Spedicato, P. Vergallo, A. Massaro, R. Cingolani, A. Athanassiou

引用次数: 2

Beyond the logistic growth model for nitrous oxide emission factors from agricultural soils 农业土壤氧化亚氮排放因子的logistic增长模型

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6137008

K. Thakur, D. Giltrap, A. Ausseil, S. Saggar, A. Raj

{"title":"Beyond the logistic growth model for nitrous oxide emission factors from agricultural soils","authors":"K. Thakur, D. Giltrap, A. Ausseil, S. Saggar, A. Raj","doi":"10.1109/ICSENST.2011.6137008","DOIUrl":"https://doi.org/10.1109/ICSENST.2011.6137008","url":null,"abstract":"Measurement of nitrous oxide emission in the dairy farm is a time-consuming process. The alternative approach is to run a realistic process-based model. The NZ-DNDC model is capable of generating reasonable results in a short time. The model is driven by weather and soil parameters that have a high degree of temporal (weather) and spatial (soil properties) variability. This variability in soil and weather parameters leads to uncertainty in the predicted nitrous oxide emissions. This paper examines the possibility of developing a simplified model to investigate the effects of variation in individual weather or soil parameters on nitrous oxide emission. This study undertakes to apply the logistic growth model with secondary growth effects to model the growth of the nitrous oxide emission factor with environmental variables. The generalized model considered here allows for the inclusion of secondary growth with the addition of only one extra parameter, unlike many bi-logistic growth models which double the number of parameters. The model has the capability to generate the generalized logistic behavior as well as a number of different realistic growth and decay behaviors. A nonlinear least-squares regression algorithm is described that provides parameter estimates from time-series growth data. This is an iterative process that starts with an initial realistic guess of the parameters. The modified technique presented here computes the correction term which is multiplied to the old parameter to get the new value. This is a more robust technique that allows for a little non-linearity around the solution. Model sensitivity and robustness are discussed in relation to error structure in the data. Taxonomy and examples of systems of greenhouse gas emission that exhibit secondary growth or decay are presented. The model is shown to be superior to the simple logistic model for representing many growth processes.","PeriodicalId":202062,"journal":{"name":"2011 Fifth International Conference on Sensing Technology","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132056727","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: 0

An online telemetering system for mobile health parameter monitoring and medical assistance 用于移动健康参数监测和医疗援助的在线遥测系统

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6137024

R. Agethen, F. Lurz, Andre Schwarzmeier, G. Fischer, R. Weigel, D. Kissinger

引用次数: 11

Prediction and validation of outcomes from air monitoring sensors and networks of sensors 预测和验证来自空气监测传感器和传感器网络的结果

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6137072

A. Lay-Ekuakille, P. Vergallo, N. Giannoccaro, A. Massaro, D. Caratelli

引用次数: 21

Characterizations and performance evaluations of thin film interdigital sensors for Gram-negative bacteria detection 用于革兰氏阴性菌检测的薄膜数字间传感器的表征和性能评价

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6136959

A. R. Mohd Syaifudin, S. Mukhopadhyay, P. Yu, C. Chuang, Hsun-Pei Wu, C. Gooneratne, J. Kosel

引用次数: 6

Effectiveness of model-based motion estimation from an inertial measurement unit 基于模型的惯性测量单元运动估计的有效性

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6137053

M. Finch, T. Lintern, A. Taberner, Poul M. F. Nielsen

引用次数: 8

Capacitive sensor arrays for the real time detection of volatile organic compounds 用于挥发性有机化合物实时检测的电容式传感器阵列

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6137013

N. Pantazis, G. Patsis, E. Valamontes, I. Raptis, D. Goustouridis, M. Sanopoulou

引用次数: 5

Advanced oxygen sensor with oxide electrode materials 先进的氧传感器与氧化物电极材料

2011 Fifth International Conference on Sensing Technology Pub Date : 2011-11-01 DOI: 10.1109/ICSENST.2011.6136947

P. Shuk, R. Jantz, U. Guth

引用次数: 0