IEEE SENSORS 2014 Proceedings最新文献_第5页

Associated IDTs in surface acoustic wave devices for closed-loop control inkjet system 闭环控制喷墨系统表面声波装置的相关idt

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6985410

H. B. Thu, P. Sarro, T. B. Duc, T. C. Duc

引用次数: 0

SnO2 and Ce modified SnO2 mesostructured for selective ethanol detection SnO2和Ce修饰SnO2介观结构用于选择性乙醇检测

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6984992

L. Navarrete, F. Toldra-Reig, J. M. Serra, S. Somacescu

引用次数: 1

Magnetically coupled resonators for rate integrating gyroscopes 速率积分陀螺仪用磁耦合谐振器

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6985217

P. Pai, H. Pourzand, M. Tabib-Azar

引用次数: 7

An energy-efficient reconfigurable readout circuit for resonant sensors based on ring-down measurement 一种基于衰荡测量的节能可重构谐振传感器读出电路

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6984973

Yuxin Yan, Z. Zeng, Chao Chen, Hui Jiang, Z. Chang, D. Karabacak, M. Pertijs

引用次数: 13

A fast tunable semiconductor laser for FBG sensor interrogation systems 用于光纤光栅传感器询问系统的快速可调谐半导体激光器

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6985261

J. Mo, Logan He, Chao Lu

引用次数: 4

Novel miniature pressure and temperature optical fibre sensor based on an extrinsic Fabry-Perot Interferometer (EFPI) and Fibre Bragg Gratings (FBG) for the Ocean environment 基于外源法布里-珀罗干涉仪(EFPI)和光纤布拉格光栅(FBG)的新型微型海洋环境压力和温度光纤传感器

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6985017

D. Duraibabu, S. Poeggel, E. Omerdic, Kyricaos Kalli, Romano Capocci, A. Lacraz, G. Dooly, E. Lewis, T. Newe, G. Leen, D. Toal

{"title":"Novel miniature pressure and temperature optical fibre sensor based on an extrinsic Fabry-Perot Interferometer (EFPI) and Fibre Bragg Gratings (FBG) for the Ocean environment","authors":"D. Duraibabu, S. Poeggel, E. Omerdic, Kyricaos Kalli, Romano Capocci, A. Lacraz, G. Dooly, E. Lewis, T. Newe, G. Leen, D. Toal","doi":"10.1109/ICSENS.2014.6985017","DOIUrl":"https://doi.org/10.1109/ICSENS.2014.6985017","url":null,"abstract":"A novel miniature sensor is proposed for accurate measurement of pressure (depth) and temperature changes in the ocean environment. The sensor is based on an optical fibre extrinsic Fabry Perot interferometer (EFPI) combined with a Fibre Bragg Grating (FBG). The EFPI provides pressure measurements while the Fibre Bragg Grating (FBG) provides temperature measurements. The FGB is post-inscribed into the EFPI using a femtosecond laser. The sensor is mechanically robust, corrosion resistant and suitable for use underwater. The combined pressure and temperature sensor system was mounted on-board a mini remotely operated underwater vehicle (ROV) in order to monitor the pressure changes at varying depths and compare with the reference pressure-depth sensor. The reflected optical spectrum of the sensor was monitored online and a pressure change caused a corresponding observable shift in the optical spectrum. The sensor exhibited excellent stability when measured over a 2 hour period underwater and its performance is compared with a commercially available reference sensor also mounted on the ROV. The comparison illustrates that the EFPI/FBG sensor is more accurate (~0.025m) with a resolution of ~0.005m, when compared to the reference sensor.","PeriodicalId":13244,"journal":{"name":"IEEE SENSORS 2014 Proceedings","volume":"190 1","pages":"394-397"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79524386","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: 10

Monitoring of disease-related volatile organic compounds in simulated room air 模拟室内空气中与疾病相关的挥发性有机化合物的监测

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6985281

T. Itoh, T. Akamatsu, N. Izu, W. Shin, H. Byun

{"title":"Monitoring of disease-related volatile organic compounds in simulated room air","authors":"T. Itoh, T. Akamatsu, N. Izu, W. Shin, H. Byun","doi":"10.1109/ICSENS.2014.6985281","DOIUrl":"https://doi.org/10.1109/ICSENS.2014.6985281","url":null,"abstract":"We have investigated the reduction in the influence of room air contamination on the monitoring of lung cancer-related volatile organic compounds (VOCs), namely, nonanal, n-decane, and acetoin, and sugar diabetes-related VOCs, namely, acetone and methyl i-butyl ketone. We have used a gas comprising a mixture of 300 μg/m3 of 31 kinds of VOCs as this has been proposed to resemble an indoor air-like gas. We have used six sensors comprising four commercially available sensors (TGS 2600, 2610, 2610, and 2620) and two Pt, Pd, and Au-loaded SnO2 sensors (Pt, Pd, Au/SnO2) to monitor the gases for detecting lung cancer-related VOCs and sugar diabetes-related VOCs. We analyzed sensor signals using principal component analysis. When a total of six sensors (TGS and Pt, Pd, Au/SnO2 sensors) was used, we could successfully discriminate between lung cancer- and sugar diabetes-related VOCs. The sensor that has small value for the difference in sensor response, which is the difference in sensor response between 1 ppm of target gases in pure air and those in simulated room air, should be selected from the array of six sensors for a more improved discrimination accuracy under simulated room air conditions.","PeriodicalId":13244,"journal":{"name":"IEEE SENSORS 2014 Proceedings","volume":"13 1","pages":"1427-1430"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79646121","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: 5

A multisensor data fusion approach for the volcanic ash granulometry classification 一种多传感器数据融合的火山灰粒度分类方法

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6985438

B. Andò, S. Baglio, V. Marletta

引用次数: 1

The use of a cosmic ray probe as a proxy of green vegetation biomass 利用宇宙射线探测器作为绿色植被生物量的代表

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6985425

Daniel V. Smith, R. Dutta, Cecil Li

{"title":"The use of a cosmic ray probe as a proxy of green vegetation biomass","authors":"Daniel V. Smith, R. Dutta, Cecil Li","doi":"10.1109/ICSENS.2014.6985425","DOIUrl":"https://doi.org/10.1109/ICSENS.2014.6985425","url":null,"abstract":"A preliminary study is undertaken to determine whether the fast neutron counts of a cosmic ray probe can be used as proxy estimate of green biomass over its 40 hectare measurement area. The study was conducted using the Normalized Difference Vegetation Index (NDVI) product from NASA MODIS satellite imagery and pressure corrected fast neutron counts of a cosmic ray probe located at Tullochgorum in north-eastern Tasmania between October 2010 and December 2013. Machine learning based regression models, namely, Support Vector Regression (SVR), Generalized Linear Model (GLM), Regression Decision Tree, Multi Layer Perceptron (MLP) network and Radial Basis Function (RBF) network were employed to estimate the NDVI from the dependent variable of fast neutron counts across a range of input configurations. Results from this study showed the relationship between wet soil and increased vegetation density and greenness could be used to provide some form of proxy estimate of green biomass at a weekly time resolution. The model with the highest accuracy was an MLP network (Pearson's correlation coefficient of 0.86) with inputs composed of the previous 12 weeks of averaged fast neutron counts.","PeriodicalId":13244,"journal":{"name":"IEEE SENSORS 2014 Proceedings","volume":"300 1","pages":"1996-1999"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79698437","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 inline insertion microwave MEMS power sensor based on GaAs MMIC technology with ultra reflection losses 基于GaAs MMIC技术的超反射损耗内联插入式微波MEMS功率传感器

IEEE SENSORS 2014 Proceedings Pub Date : 2014-12-15 DOI: 10.1109/ICSENS.2014.6985290

Zhiqiang Zhang, X. Liao

引用次数: 1