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2019 13th International Conference on Sensing Technology (ICST)最新文献

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A Telespirometer for the Developing World 发展中国家的望远镜
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047715
G. Brooker
{"title":"A Telespirometer for the Developing World","authors":"G. Brooker","doi":"10.1109/ICST46873.2019.9047715","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047715","url":null,"abstract":"There are numerous examples in which the introduction of expensive medical equipment into the developing world fail for lack of understanding of the device, lack of spares or poor maintenance. This paper describes the development of a Fleisch pneumotachograph and cellphone based telespirometer that can easily be built from “junk box” medical and electronic components available in the developing world. This approach should introduce a sense of local ownership to the project as well as encouraging participation by the local electronics repair industry. Experimental results confirm that the forced expiratory flow data are reliably modulated onto an audio signal and transmitted by cellphone to a base station for examination by a district nurse or doctor. Flow measurement and data transmission accuracies are sufficiently good for remote diagnoses of chronic obstructive pulmonary disease.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128798174","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
Battery-less shoe-type wearable location sensor system for monitoring people with dementia 用于监测痴呆症患者的无电池鞋型可穿戴位置传感器系统
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047673
Kazuya Takahashi, K. Kitamura, Y. Nishida, H. Mizoguchi
{"title":"Battery-less shoe-type wearable location sensor system for monitoring people with dementia","authors":"Kazuya Takahashi, K. Kitamura, Y. Nishida, H. Mizoguchi","doi":"10.1109/ICST46873.2019.9047673","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047673","url":null,"abstract":"Wearable monitoring sensors are a promising method for monitoring the daily activities of elderly people, but they have the problem of needing periodic battery replacement when used for long-term monitoring. To solve this drawback of conventional wearable devices, we developed a shoe-type wearable location transmitter that generates its own electricity and transmits location information without a battery. The developed transmitter generates electric power using changes in pressure at the bottom of the foot during walking, and the system estimates the location by evaluating the radio signal strength. Using the new location system, we successfully monitored the movement of one 80-year-old woman with dementia in an actual nursing home for over 130 days.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127645617","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
Single Camera Measurement of Out of Plane (OoP) Displacement 平面外位移的单相机测量
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047733
U. Izhar, D. Preethichandra
{"title":"Single Camera Measurement of Out of Plane (OoP) Displacement","authors":"U. Izhar, D. Preethichandra","doi":"10.1109/ICST46873.2019.9047733","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047733","url":null,"abstract":"In this paper we propose a method which is useful to measure out of plane displacement of beams. The proposed method is targeted to be effective in micro fabrication applications where a speckle pattern is impossible to make on the microactuators. However, microfabrication techniques where etch holes are used to release actuator beams can make use of this method. The paper presents the application of image processing techniques that can be exploited to measure effective in-plane pixel displacement for a corresponding out of plane (vertical) beam displacements. Firstly, a calibration measurement is taken at known beam deflections. Secondly, beam deflection at various unknown points can be extracted. Lastly, a profile of the beam deflection along its length can be achieved for any deflection.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121745234","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
Motion Detector Training with Virtual Data for Semi-Automatic Motion Analysis-Elimination of Real Training Data Collection using 3DCG Synthesis 基于虚拟数据的半自动运动分析运动检测器训练——利用3DCG合成消除真实训练数据收集
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047711
Yukiya Shingai, F. Kusunoki, S. Inagaki, H. Mizoguchi
{"title":"Motion Detector Training with Virtual Data for Semi-Automatic Motion Analysis-Elimination of Real Training Data Collection using 3DCG Synthesis","authors":"Yukiya Shingai, F. Kusunoki, S. Inagaki, H. Mizoguchi","doi":"10.1109/ICST46873.2019.9047711","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047711","url":null,"abstract":"A visitor's interest in the exhibits at a museum can be understood by analyzing his or her behavior. Conventionally, behavior analysis is performed manually, but it is troublesome to do this in practice. Therefore, our aim is to reduce this trouble by the automation and semi-automation of behavior analysis. We focus on motion detection by machine learning as the first step in this process. To detect motion using machine learning, it is necessary to collect training motions in advance and create a detector. In this study, human models and motions were generated using three-dimensional computer graphics. Then, we synthesized them and collected training motions using a virtual environment. We used the collected training motions to create a detector and detected motions collected from people in a real environment. The results of the experiments indicate that this training data collection method is effective.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"35 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126200288","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
Real- Time Accurate Measurement Algorithm for Tractor Driving Wheel Slip Rate 拖拉机驱动轮滑移率的实时精确测量算法
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047691
Zhili Zhou, Yiwei Wu, Jun Wang, Jiaxin Chen, Zhanqiang Li
{"title":"Real- Time Accurate Measurement Algorithm for Tractor Driving Wheel Slip Rate","authors":"Zhili Zhou, Yiwei Wu, Jun Wang, Jiaxin Chen, Zhanqiang Li","doi":"10.1109/ICST46873.2019.9047691","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047691","url":null,"abstract":"Aiming at the difficulty in measuring real-time and accurate value of tractor driving wheel slip rate during operation, an information fusion algorithm with noise observer is put forward based on the adaptive parallel Kalman filter. By fusing signals of the wheel speed sensor, angular acceleration sensor, accelerometer and GPS, the online accurate real-time measurement of tractor driving wheel slip rate is realized on the premise that no priori error statistical law is needed. The simulation results demonstrate that the measurement accuracy of the above algorithm is significantly better than that of other algorithms.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133627198","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
Point Cloud Annotation Methods for 3D Deep Learning 3D深度学习的点云标注方法
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047730
Niall O' Mahony, S. Campbell, A. Carvalho, L. Krpalkova, D. Riordan, Joseph Walsh
{"title":"Point Cloud Annotation Methods for 3D Deep Learning","authors":"Niall O' Mahony, S. Campbell, A. Carvalho, L. Krpalkova, D. Riordan, Joseph Walsh","doi":"10.1109/ICST46873.2019.9047730","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047730","url":null,"abstract":"The domain of 3D Deep learning is growing rapidly as 3D sensor cost plunges and the perception capabilities these sensors can provide is continuously being extended. Dataset creation and annotation is a huge bottleneck in this field of work however, particularly in 3D segmentation tasks where every point in 3D space must be labelled accurately. This paper will review some creative ways of improving the data annotation process in terms of efficiency, accuracy and automatability. The review is comprised of two halves, firstly, annotation tools which have improved the user interface for pointcloud annotation are presented including works which use technologies such as virtual reality. Secondly, automation schemes which delegate as much of the work as possible to a machine while still giving the user insight and control over the process will be reviewed.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132327027","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
Electric Field Communication using a Car Body as a Transmission Medium 以车身为传输介质的电场通信
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047679
Yoshiki Matsui, Kenta Nezu, Naoya Takahashi, K. Yoshioka, M. Shinagawa, Kohei Hamamura, Hiroshi Nakamura, Naohiro Shimizu
{"title":"Electric Field Communication using a Car Body as a Transmission Medium","authors":"Yoshiki Matsui, Kenta Nezu, Naoya Takahashi, K. Yoshioka, M. Shinagawa, Kohei Hamamura, Hiroshi Nakamura, Naohiro Shimizu","doi":"10.1109/ICST46873.2019.9047679","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047679","url":null,"abstract":"This paper describes electric field communication using a car body as a transmission medium. The number of wire harnesses can be reduced by the communication. There are two serious problems: the car body earth problem and the large transmission medium problem. We propose new methods based on an equivalent circuit model of the electric field around the car body to solve the above-mentioned problems. Our experimental and simulation results show that our methods can effectively solve these problems.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122623924","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
Toward detecting boar taint compounds using low. power microwave sensors 利用低光谱法检测猪粪污染化合物。功率微波传感器
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047748
A. Mason, O. Korostynska, T. T. Håseth, O. Alvseike, M. Sødring
{"title":"Toward detecting boar taint compounds using low. power microwave sensors","authors":"A. Mason, O. Korostynska, T. T. Håseth, O. Alvseike, M. Sødring","doi":"10.1109/ICST46873.2019.9047748","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047748","url":null,"abstract":"This work presents the use of low-power microwave sensors for the detection of two boar taint compounds, skatole and androstenone. These compounds are associated with malodour from entire male pigs, which has been a long-running challenge for the meat industry. A resonant cavity-based sensor is used to demonstrate selectivity, and limits of detection for skatole and androstenone at 7.1 and 41.4 ppm respectively, where both compounds were dissolved individually in ethanol and acetonitrile. The work is considered a step toward using this technique for on- or at-line monitoring of malodour compounds, particularly at the abattoir. The limitations of the method are discussed, in addition to ways it could be improved to provide limits of detection closer to those associated with consumer acceptability.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128306289","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
Transparent Object Detection Using Single-pixel Imaging and Compressive Sensing 基于单像素成像和压缩感知的透明目标检测
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047680
Anumol Mathai, Xin Wang, S. Chua
{"title":"Transparent Object Detection Using Single-pixel Imaging and Compressive Sensing","authors":"Anumol Mathai, Xin Wang, S. Chua","doi":"10.1109/ICST46873.2019.9047680","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047680","url":null,"abstract":"Opaque object detection and image acquisition are perfectly done with the techniques collecting reflections from the object. However, transparent object detection is a challenge due to the complex nature of light interacting with it. The characteristics of light such as absorption, transmission, reflection, and refraction in transparent objects makes its acquisition challenging. Single-pixel imaging (SPI), which uses a single pixel sensor to capture the image, is an evolving technology. The proposed study focuses on designing a 2D single-pixel transparent object inspection system which utilizes compressive sensing and 11 minimization approach. A novel camera architecture based on Digital Micromirror Device (DMD) along with Compressive Sensing (CS) algorithm is adopted for image reconstruction. Two-dimensional image reconstruction of transparent objects is performed by collecting transmitted light intensity from the object with a single-pixel detector. With the CS algorithm, good quality images are reconstructed with few measurements in contrast to large data required for Nyquist criteria. The digitized input for CS algorithm is based on the inner product between the transparent object and a set of random patterns projected from the DMD. The transparent object detection was achieved using only 30% of the total pixels in the image with the reconstructed images showing around 60 percent similarity to the real object. Our experimental setup has been compared to a conventional imaging system to prove its efficiency in obtaining accurate results. Furthermore, our technique is nondestructive, does not require raster scanning, not time-gated detection and benefits from compressive sensing.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114410962","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
Applications of Internet of Things in Mushroom Farm Management 物联网在蘑菇场管理中的应用
2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047702
Mohamed Rawidean Mohd Kassim, I. Mat, I. Yusoff
{"title":"Applications of Internet of Things in Mushroom Farm Management","authors":"Mohamed Rawidean Mohd Kassim, I. Mat, I. Yusoff","doi":"10.1109/ICST46873.2019.9047702","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047702","url":null,"abstract":"Internet of Things (IoT) based monitoring and control systems are widely used in a controlled environment to manage agriculture farms including mushroom farms. IoT can help to improve agricultural and farming industries by reducing labour cost through automation and increase the yield by providing optimum conditions for growth. The temperature, humidity, light intensity and CO2are some of the important parameters need to manage in a mushroom farm and these data are collected through wireless sensors. The implementation of this smart mushroom system have optimized the usage of resources such as water and fertilizer and also maximized the quality and productivity of the mushroom. In this project, the mushroom yield have increased almost twice (192.6%) compared to mushroom cultivation using conventional methods.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960433","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: 13
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