2019 13th International Conference on Sensing Technology (ICST)最新文献_第7页

Self-assembled Optical Diffraction Patterns for Applications in Water Quality Monitoring 自组装光学衍射图在水质监测中的应用

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047737

Swapna A. Jaywant, K. Arif, J. Potgieter, E. Avci

引用次数: 0

Mesh WSN Data Aggregation and Face Identification in Fog Computing Framework 雾计算框架下网格WSN数据聚合与人脸识别

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047708

S. R. Sahith, Srinivasa Raju Rudraraju, A. Negi, N. Suryadevara

{"title":"Mesh WSN Data Aggregation and Face Identification in Fog Computing Framework","authors":"S. R. Sahith, Srinivasa Raju Rudraraju, A. Negi, N. Suryadevara","doi":"10.1109/ICST46873.2019.9047708","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047708","url":null,"abstract":"This work aims to aggregate data from various sensors in a mesh topology based Wireless Sensor Network (WSN). It analyzes this data using fog computing framework to trigger alerts. The WSN consists of nodes with several sensors like temperature sensor, potentiometer and light emitting diode connected with radio communication module XBee. The sensor nodes are connected in mesh topology for better reliability and using ZigBee protocol mechanism. The Fog gateway node collects the sensor data from several sensor nodes. The WSN also includes Pi Camera and passive infrared sensor augmented with Philips Hue Lights. Hue Light gives a visual indication of motion detection, using ON/OFF states. Pi camera captures image whenever any motion is detected. The captured images are used for face recognition by applying Eigenfaces method. The AI algorithm is applied on the aggregated temperature sensor data, at the Fog node level, to determine the adaptive threshold. If the temperature data from any sensor node is above the threshold value an alert message is triggered. The proposed system is run continuously for data collection and the functionality of the system is tested with various inputs and the results are encouraging.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"54 2 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":"132548596","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

Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks 基于遥感和人工神经网络的叶绿素-a和悬浮物预测

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047682

L. S. Kupssinskü, T. T. Guimarães, Rafael de Freitas, E. Souza, Pedro Rossa, A. M. Junior, M. Veronez, L. G. D. Silveira, C. Cazarin, F. F. Mauad

引用次数: 3

A Loop Control Design to Achieve Boundary Conduction Mode in DC-DC Power Converter for Maximizing Efficiency 一种实现DC-DC功率变换器边界导通模式的环路控制设计，以实现效率最大化

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047693

Van-Quyet Nguyen, Kim-Hoang Nguyen, Huy-Dung Han, Phuoc-Van Nguyen Thi, L. Pham-Nguyen

引用次数: 0

Comparison of English and Chinese Speech Recognition Using High-Density Electromyography 高密度肌电图技术在英汉语音识别中的应用

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047706

Mingxing Zhu, Zijian Yang, Jiashuo Zhuang, Xiaochen Wang, Lin Lu, Haoshi Zhang, Jianping Huang, Hanjie Deng, Peng Shang, Guoru Zhao, Wanzhang Yang, Shixiong Chen, Guanglin Li

{"title":"Comparison of English and Chinese Speech Recognition Using High-Density Electromyography","authors":"Mingxing Zhu, Zijian Yang, Jiashuo Zhuang, Xiaochen Wang, Lin Lu, Haoshi Zhang, Jianping Huang, Hanjie Deng, Peng Shang, Guoru Zhao, Wanzhang Yang, Shixiong Chen, Guanglin Li","doi":"10.1109/ICST46873.2019.9047706","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047706","url":null,"abstract":"Speaking different languages requires different ways of pronunciation, and the muscular activities associated with phonation show different articulation styles. Therefore, clarifying the contributions of the articulatory muscles in different regions, such as the face and neck, is helpful for automatic speech recognition. However, it remains unclear how the articulatory muscles at different positions affect the classification accuracies of speech recognition across different languages. In this study, the technique of high-density surface electromyography (HD sEMG) was proposed to investigate the role of different articulatory muscles in classifying English and Chinese speaking tasks, respectively. The HD sEMG signals were recorded by 120 electrodes evenly placed on the facial and neck muscles across six subjects while they were speaking five English and Chinese daily words. Four time-domain features were extracted from sEMG recordings and used to construct a linear-discriminant-analysis classifier for speech recognition. The results showed that the classification accuracies of using neck sEMG were higher than that of using facial sEMG in both English and Chinese recognition tasks. The accuracies for Chinese speaking tasks were significantly higher than that for English when using facial sEMG only. Moreover, there was no significant difference in accuracies between the two types of languages when using neck sEMG. This study might provide useful information about the contributions of different articulatory muscles, and pave the way for automatic speech recognition across different languages for patients with dysarthria.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"8 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":"132002754","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

Detection of Brain Stroke using Electroencephalography (EEG) 脑电图(EEG)检测脑卒中

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047678

Pinanshu Garg, Prateek Kumar, Kshitij Shakya, D. Khurana, S. R. Chowdhury

引用次数: 5

Calcium-Alginate Microbeads as Cell Deformability Sensors 海藻酸钙微珠作为细胞变形性传感器

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047703

Jifeng Ren, Raymond H. W. Lam

{"title":"Calcium-Alginate Microbeads as Cell Deformability Sensors","authors":"Jifeng Ren, Raymond H. W. Lam","doi":"10.1109/ICST46873.2019.9047703","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047703","url":null,"abstract":"Promising cancer detection is critical for selection of effective cancer treatment. Traditional techniques for cancer diagnosis are generally complex and inaccurate. There are studies reporting that mechanical properties of cells can be biomarkers, offering an effective way to detect cancer at a single cell level. Existing techniques for distinguishing cancer cells through elasticity are typically limited to non-institutive and low throughput. In this work, elastic-modulated calcium-alginate microbeads are developed as cell elastic sensors for distinguishing cancer cells from normal cells using microfluidic devices. The classification of nasopharyngeal epithelial cells (NP460) and nasopharyngeal carcinoma cells (NPC43) was achieved through comparisons of penetration lengths of cells and microbeads with similar sizes in the confining channels. Microbeads functions as a reference elasticity marker to differentiate harder and softer cells. In short, our technique can provide a simplified approach for cancer cell classification. After further optimizing and refining the microbeads, it can be compatible with clinical diagnosis applications.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"18 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":"133249584","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

Design and Development of an IoT enabled Pedestrian Counting and Environmental Monitoring System for a Smart City 为智慧城市设计和开发基于物联网的行人计数和环境监测系统

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047695

F. Akhter, Sam Khadivizand, Jordan Lodyga, H. R. Siddiquei, M. Alahi, S. Mukhopadhyay

{"title":"Design and Development of an IoT enabled Pedestrian Counting and Environmental Monitoring System for a Smart City","authors":"F. Akhter, Sam Khadivizand, Jordan Lodyga, H. R. Siddiquei, M. Alahi, S. Mukhopadhyay","doi":"10.1109/ICST46873.2019.9047695","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047695","url":null,"abstract":"A novel method for pedestrian counting using passive infrared (PIR) sensors is proposed and the corresponding system has been designed and developed. The inclusion of an environmental combo sensor in the proposed pedestrian counting system enabled environmental monitoring such as temperature, humidity, pressure, Carbon di Oxide (CO2) and Total Volatile Organic Component (TVOC). The detection lengths of the PIR sensors are varied by tuning the Field of View (FoV) of the Fresnel lens to differentiate the movements of humans and animals. A novel method is applied to locate the PIR sensors in the designed mould so that their coverage regions do not overlap. The sensor data are transmitted to the Thingspeak server via Long Range Wide Area Network (LoRaWAN) communication protocol. The system is powered by a 6000 mAh rechargeable battery which is charged by the solar panel during day time enabling continuous data collection. The system's results are validated against manual counting and it is seen that more than 90% accuracy can be achieved by this intelligent system.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"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":"125195151","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: 9

Novel Application of an RGB-D Camera for Face-Direction Measurements and Object Detection: Towards Understanding Museum Visitors' Experiences RGB-D相机在面部方向测量和物体检测中的新应用:对博物馆游客体验的理解

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047675

Nanami Saito, F. Kusunoki, S. Inagaki, H. Mizoguchi

{"title":"Novel Application of an RGB-D Camera for Face-Direction Measurements and Object Detection: Towards Understanding Museum Visitors' Experiences","authors":"Nanami Saito, F. Kusunoki, S. Inagaki, H. Mizoguchi","doi":"10.1109/ICST46873.2019.9047675","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047675","url":null,"abstract":"Gaze measurement techniques can be used to understand the experiences of visitors at museums. In previous research, researchers used a wearable sensor such as an eye tracker to estimate what a visitor was looking at. Although it is possible to measure this experimentally by using a wearable sensor, it is difficult to measure the experience of all museum visitors with such an approach. Therefore, in this study, we propose a method for measuring visitors' experiences with non-wearable type sensors. In this method, we measure the face direction, which is said to be related to the gaze direction of the visitors, by using non-wearable Kinect sensors. We also have to detect objects because we need information about what people are looking at to measure the visitors' experiences. In this paper, we describe the method to estimate the gaze target of the visitor, which is referred to as the visitor's experience, based on the face-direction measurements and object detection data collected simultaneously, and an experiment is conducted to evaluate its effectiveness.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"100 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":"116907328","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 Fundamental Experiment on Contact Position Estimation on Vision based Dome-type Soft Tactile Sensor using Ready-made Medium 基于视觉的球形软触觉传感器接触位置估计的实验研究

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI: 10.1109/ICST46873.2019.9047714

Sukgyu Koh, B. Cho, Junkyu Park, Chang-Hyun Kim, Suwoong Lee

{"title":"A Fundamental Experiment on Contact Position Estimation on Vision based Dome-type Soft Tactile Sensor using Ready-made Medium","authors":"Sukgyu Koh, B. Cho, Junkyu Park, Chang-Hyun Kim, Suwoong Lee","doi":"10.1109/ICST46873.2019.9047714","DOIUrl":"https://doi.org/10.1109/ICST46873.2019.9047714","url":null,"abstract":"Tactile sensors are critical components in robotics fields. Recently, soft tactile sensor utilizing vision is actively developed for safe human machine interaction. Some researches use novel custom-made medium in order to achieve tactile sensing. Deep learning can recognize pattern from any vision data when it has sufficient dataset, i.e., the system does not require specific pattern embedded hardware for the pattern recognition. To achieve soft tactile sensor's economical application for robot fingers, this paper presents a fundamental experiment on contract position estimation on vision based dome-type soft tactile sensor utilizing ready-made silicon as a medium and convolutional neural network. In order to estimate and classify the contact position, convolutional neural network (CNN) was applied. The modified VGGNet architecture was coded using Tensorflow and Keras. 1000 images were taken to train the modified VGG network; 200 images were taken for each neutral, left, right, lower, upper direction. For each direction, fingertip, pencil, ruler, and table corner were utilized to capture various situations. After checking the results of the test set, the trained model was applied to the embedded board and checked the contact position estimation in real-time. The experiment showed high accuracy on classifying the con-tact position of the vision based dome-type soft tactile sensor in real time. This contact position estimation system will be critical for the finger-typed robots since the system is reasonably small and it will reduce significant amount of manufacturing cost for the safe human machine interaction system. For the future work, we will acquire more image data and apply more advanced network architecture to improve accuracy.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"25 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":"126905182","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