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2016 10th International Conference on Sensing Technology (ICST)最新文献

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Linear regression models for chew count estimation from piezoelectric sensor signals 基于压电传感器信号的咀嚼计数估计线性回归模型
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796222
Muhammad Farooq, E. Sazonov
{"title":"Linear regression models for chew count estimation from piezoelectric sensor signals","authors":"Muhammad Farooq, E. Sazonov","doi":"10.1109/ICSENST.2016.7796222","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796222","url":null,"abstract":"Research suggests that there might be a relationship between chewing rate and final energy intake. Wearable sensor systems have been proposed for automatic detection of food intake. This work presents the use of linear regression for estimation of chew counts from piezoelectric sensor signal. For known chewing sequences, four features are computed (number of peaks, valleys, zero crossings and duration of chewing), and linear regression models were trained and tested for estimation of chew counts using cross-validation scheme. Adjusted R2 and mean absolute error (of chew counts) are used for performance evaluation. ANOVA along with Tukey Kramer test was used to compare the performance of different models. Results suggest that best performance was achieved with multiple linear regression model (all features as predictors) with adjusted R2 of 0.95 and mean absolute error of 9.66% ± 6.28%. Results suggest that linear regression models can be used for estimation of chew counts from piezoelectric strain sensor signals.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114685355","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: 11
Study on different touch object recognition algorithm based on Android and capacitive touch panel 基于Android和电容式触摸屏的不同触摸对象识别算法研究
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796300
Zhu Qiwen, Sun Jun, H. Xueqin, Zhou Hongmei, Tang Yongming
{"title":"Study on different touch object recognition algorithm based on Android and capacitive touch panel","authors":"Zhu Qiwen, Sun Jun, H. Xueqin, Zhou Hongmei, Tang Yongming","doi":"10.1109/ICSENST.2016.7796300","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796300","url":null,"abstract":"Nowadays, touch panel technology has become the mainstream of human-computer interaction. Based on a smart phone equipped with Atmel's latest touch chip - maxTouch874 and the Eclipse software, a system that can gather the original signals from self-capacitance and mutual-capacitance is developed. The recognition of four kinds of touch objects is achieved with the different characteristics of different touch objects. The test result verifies the accuracy of the algorithm.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132007044","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: 2
A video-based monitor for assessing free-fall droplet motion 用于评估自由落体液滴运动的视频监视器
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796219
Chih-Yen Chen, C. Weng, C. Hwang, C. Hsieh
{"title":"A video-based monitor for assessing free-fall droplet motion","authors":"Chih-Yen Chen, C. Weng, C. Hwang, C. Hsieh","doi":"10.1109/ICSENST.2016.7796219","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796219","url":null,"abstract":"A newly video-based monitoring technique was developed in this study to characterize the shape and free-fall velocity of water droplets. The free-fall droplet monitoring system integrates three main components which are containing the CCD image sensor for capturing video images, the backlight source for illuminating the water droplets, and the computation unit for the image acquisition and function control. Subsequently, the high-speed CCD image sensor was used to capture images in 200 fps and the exposure time was set at 100 μs. With high contrast images, we mark out every droplet by detecting its contour. Later, a series of droplet detection and tracking algorithms were executed to obtain the velocity of the free-fall droplets. In the simulation experiments, the glass balls and the water droplets ejected from a sprinkler were both introduced for the verification of the system performance. The experimental results support the proposed free-fall droplet monitoring system including the combination of droplet detection and droplet tracking algorithms are capable to provide a promising approach for the measurement of the free-fall droplets. Additionally, this apparatus could be improved by replacing a CCD image sensor with larger sensing area or the faster sampling rate in our next attempt.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"250 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132060026","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
Research on reflective pulse oximetry based on fiber optic spectrometer 基于光纤光谱仪的反射式脉搏血氧仪研究
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796304
Zheng Liu, Dezhi Zheng, Wei Zhou, Meiling Zhou
{"title":"Research on reflective pulse oximetry based on fiber optic spectrometer","authors":"Zheng Liu, Dezhi Zheng, Wei Zhou, Meiling Zhou","doi":"10.1109/ICSENST.2016.7796304","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796304","url":null,"abstract":"Human oxygen saturation detection is based on the Lambert-Beer Law, but since the human body is a strong scattering tissue instead of a homogeneous medium, the influence of scattering need to be considered, which means the basic Lambert-Beer Law is not applicable. In this paper, a fiber optic spectrometer is used to detect the blood oxygen saturation in vivo with reflective method. Based on the dynamic spectrum theory, the concept of equivalent attenuation is proposed, converting the three-dimensional data measured in real time into two-dimensional characteristic spectral data. In spite of the baseline drift and dark noise of the spectrometer, the two-dimensional characteristic spectral data can be corrected by multiple scatter correction, which can eliminate the influence of the scattering and baseline drift, and improve the accuracy of the model building.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130069766","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
A high performance VCO using adaptive class C technique for sensor application 采用自适应C类技术的高性能压控振荡器，用于传感器应用
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796255
W. Lai, S. Jang, Ho Chang Lee, Wei-Te Liu, C. Hsue
{"title":"A high performance VCO using adaptive class C technique for sensor application","authors":"W. Lai, S. Jang, Ho Chang Lee, Wei-Te Liu, C. Hsue","doi":"10.1109/ICSENST.2016.7796255","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796255","url":null,"abstract":"This paper presents a 1.1V low power Voltage Control Oscillator (VCO) is designed and implemented in a 0.18μmCOMS 1P6M process. The proposed circuits are using adaptive class C technique that can reduce power consumption. At the supply voltage 1.1V, the output frequency is 2.155GHz and the phase noise is -129 dBc/Hz at 1MHz offset. Tuning range is about 155MHz (6.9%) between 2.155 to 2.31GHz while control voltage was tuned from 0 to 2V. Excluding output buffers the VCO consumes the power 0.5 mW under a standard supply of 1.1 V.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131789052","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: 2
Improving performance of an omnidirectional range sensor for 3D modeling of environments 改进全向距离传感器的三维环境建模性能
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796230
R. Marani, N. Mosca, V. Renó, M. Nitti, G. Cicirelli, E. Stella, T. D’orazio
{"title":"Improving performance of an omnidirectional range sensor for 3D modeling of environments","authors":"R. Marani, N. Mosca, V. Renó, M. Nitti, G. Cicirelli, E. Stella, T. D’orazio","doi":"10.1109/ICSENST.2016.7796230","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796230","url":null,"abstract":"High resolution in distance (range) measurements can be achieved by means of accurate instrumentations and precise analytical models. This paper reports an improvement in the estimation of distance measurements performed by an omnidirectional range sensor already presented in literature. This sensor exploits the principle of laser triangulation, together with the advantages brought by catadioptric systems, which allow the reduction of the sensor size without decreasing the resolution. Starting from a known analytical model in two dimensions (2D), the paper shows the development of a fully 3D formulation where all initial constrains are removed to gain in measurement accuracy. Specifically, the ray projection problem is solved by considering that both the emitter and the receiver have general poses in a global system of coordinates. Calibration is thus made to estimate their poses and compensate for any misalignment with respect to the 2D approximation. Results prove an increase in the measurement accuracy due to the more general formulation of the problem, with a remarkable decrease of the uncertainty.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131827328","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
Energy-efficient flooding with minimum latency for low-duty-cycle WSNs 低占空比无线传感器网络的最小时延节能泛洪
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796228
Huahua Song, Zhen Xu, Xiangang Wang
{"title":"Energy-efficient flooding with minimum latency for low-duty-cycle WSNs","authors":"Huahua Song, Zhen Xu, Xiangang Wang","doi":"10.1109/ICSENST.2016.7796228","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796228","url":null,"abstract":"Flooding a message from the sink has been widely used in wireless sensor networks (WSNs) for many purposes like synchronization, code dissemination etc. However, relatively little work has been done for flooding in low-duty-cycle WSNs with unreliable links. In the paper, we present an energy-efficient flooding algorithm with minimum latency (EFML) in asynchronous low-duty-cycle WSNs, The key idea is to construct the shortest path tree based on the paths with the minimum delay from the sink to other nodes, then construct a spanning tree with the given delay constraint by locally adjusting the shortest path tree to reduce the energy cost of WSNs. Simulation results show that EFML achieves better performance in terms of flooding delay and energy efficiency.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131143972","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
Gearbox fault classification using S-transform and convolutional neural network 基于s变换和卷积神经网络的齿轮箱故障分类
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796330
Xueqiong Zeng, Yixiao Liao, Weihua Li
{"title":"Gearbox fault classification using S-transform and convolutional neural network","authors":"Xueqiong Zeng, Yixiao Liao, Weihua Li","doi":"10.1109/ICSENST.2016.7796330","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796330","url":null,"abstract":"This study presents a new method based on convolutional neural network (CNN) for the gearbox fault identification and classification, which does not need the complex feature extraction process as those traditional recognition algorithms do, and it also depress the uncertainty of arbitrary feature selection. The vibration signals of the gearbox under normal and hybrid fault conditions were collected, and all kinds of signals were transformed to time-frequency images by using S-transform. Then the time-frequency matrices were input to the CNN to classify different types of faults. To evaluate the performance of the CNN, other two deep learning algorithms, deep belief network (DBN) and stacked auto-encoder (SAE), were adopted to classify the gearbox faults for comparison. Experiment results demonstrated that CNN can be effectively used for fault classification.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132103060","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: 29
High-lift-off of rail displacement sensor using triangle spiral coil 高离轨位移传感器采用三角形螺旋线圈
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796294
Daiki Mori, Y. Bu, T. Mizuno, Takafumi Asahi, S. Enoki
{"title":"High-lift-off of rail displacement sensor using triangle spiral coil","authors":"Daiki Mori, Y. Bu, T. Mizuno, Takafumi Asahi, S. Enoki","doi":"10.1109/ICSENST.2016.7796294","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796294","url":null,"abstract":"Eddy-current rail displacement sensors are used for confirming rail displacement. However, collision with gravel and snow due to the short distance between rail head surface and sensor causes failures or malfunctions. Therefore, it is necessary to increase the distance from the rail head surface to the eddy-current rail displacement sensor. In this paper, the use of triangle spiral coils make rail displacement detection possible from the rail head surface, which is twice that of the conventional eddy-current rail displacement sensor up to a distance to the sensor.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129905163","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
Noise character and filtering algorithm in fiber optic current transducer 光纤电流传感器的噪声特性及滤波算法
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796334
Min Cao, Bo Li, Cong Lin, Qingchan Liu, Guangjin Wei
{"title":"Noise character and filtering algorithm in fiber optic current transducer","authors":"Min Cao, Bo Li, Cong Lin, Qingchan Liu, Guangjin Wei","doi":"10.1109/ICSENST.2016.7796334","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796334","url":null,"abstract":"Compared with electromagnetic current transducer and electronic current transducer, fiber optic current transducer (FOCT) represents the developing direction of current transducer, which has a series of advantages, such as wide bandwidth, good insulation performance, high measuring accuracy, and so on. FOCT is one kind of new-type precise sensor based on the principle of Faraday magneto-optical phase circling, its' complicated structure results in shot noise, intensity noise, hot phase noise, and electromagnetic interference noise, which have great effect on FOCT's performance. Relativity of noise random process in time domain and stability of noise random process in frequency domain are analyzed, based on the analysis results, noise identification model and algorithm are proposed, and different type noise in FOCT showing main character is quantified by using noise identification model and algorithm. Aiming on decreasing the influence of noise to FOCT performance, filtering algorithm is applied in FOCT data processing. Experiments show that noise character is complex, noise dentification model and noise filtering algorithm are effective in FOCT noise processing system.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129601065","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
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