2017 21st International Computer Science and Engineering Conference (ICSEC)最新文献_第7页

Usage-based Insurance Using IoT Platform 使用物联网平台的基于使用的保险

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443881

Puntavut Lertpunyavuttikul, Pinyarat Chuenprasertsuk, S. Glomglome

引用次数: 4

Street Surface Quality Assessment and Visualization using Gyro Sensor 基于陀螺传感器的街道表面质量评价与可视化

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443952

Rathachai Chawuthai, K. Jearanaitanakij

引用次数: 0

Circular Hough Transform and Integral Intensity Projection for Computing Automatic Footprint Arch Index 圆形霍夫变换和积分强度投影计算自动足迹拱度指数

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443861

P. Choorat, V. Petchot, A. Udomsak

{"title":"Circular Hough Transform and Integral Intensity Projection for Computing Automatic Footprint Arch Index","authors":"P. Choorat, V. Petchot, A. Udomsak","doi":"10.1109/ICSEC.2017.8443861","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443861","url":null,"abstract":"This paper demonstrates approaches for automatic computing footprint arch index by Circular Hough Transform and Intensity Projection methods. We applied k-mean clustering approach in order to classify the cluster of the color in the footprint image. Next, the image is converted to a binary image and divided into left and right side. The Circular Hough Transform method and flood-fill operation are then utilized to detect and to remove the toe prints, respectively. After that the positions of the anterior and the posterior aspect of the toeless foot prints are defined by using the horizontal integral intensity projection method. Subsequently, an angle of the toeless foot print is then estimated from these two positions. The toeless foot print is then adjusted to the perpendicular line. Finally, the length of toeless foot print and the footprint arch index values were calculated by applying Euclidean method to this adjusted toeless foot print. Footprint arch types are then classified by using the cutoff value of arch index. In this experiment, the average accuracy for automatic computing arch index values in the footprint image is 93.99% and the accuracy for classification of the footprint arch type is 84.40% in comparison with the manual computation from the expert.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132659462","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

Content-Based Filtering Recommendation in Abstract Search Using Neo4j 使用Neo4j的摘要搜索中基于内容的过滤推荐

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443957

Ratsameetip Wita, Kawinwit Bubphachuen, Jakarin Chawachat

引用次数: 8

Application of Microcontroller with Cellular Network to Monitor the Temperature Inside the Telecommunication Exchange Building 单片机与蜂窝网络在电信交换大楼内部温度监测中的应用

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/icsec.2017.8443826

Skul Kamnuanchai, C. Kimpan

{"title":"Application of Microcontroller with Cellular Network to Monitor the Temperature Inside the Telecommunication Exchange Building","authors":"Skul Kamnuanchai, C. Kimpan","doi":"10.1109/icsec.2017.8443826","DOIUrl":"https://doi.org/10.1109/icsec.2017.8443826","url":null,"abstract":"The purpose of this research is to monitor the temperature in the Telecommunication exchange building so as the send a warning message to a cell phone. The research is to measure the temperature in the Telecommunication exchange buildings. That are not mended by anyone and located far from telephone junction head quarter. This research is divided into 3 parts. Firstly, measuring the temperature inside the Telecommunication exchange building and displaying its result on a LED panel. Secondly, processing the temperature measured and analyzing with the Arduino Board. Thirdly, sending of warning messages is done in the following 3 scenarios. When the temperature is lower than 18 Celsius, the system will send a message saying “Temperature over cool”. When the temperature is over 30 Celsius, the system will send a message saying “Temperature over level 1”. When the temperature is over 35 Celsius, the system will send a message saying “Temperature over level 2” every 30 minutes. The message will be sent using the frequency of 900 MHz to the cell phone of the official overseeing the Telecommunication exchange buildings, so that he can rectify the problem in time before the temperature exceeds the specification on the devices. From the field testing of this system in 5 Telecommunication exchange buildings, the accuracy of the warning message is about 94 percentage.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"77 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128086125","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

Diagnosis of Heart Disease Using a Mixed Classifier 用混合分类器诊断心脏病

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443940

Sarawut Meesri, Suphakant Phimoltares, Atchara Mahaweerawat

{"title":"Diagnosis of Heart Disease Using a Mixed Classifier","authors":"Sarawut Meesri, Suphakant Phimoltares, Atchara Mahaweerawat","doi":"10.1109/ICSEC.2017.8443940","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443940","url":null,"abstract":"Nowadays, a large amount of medical information can be used to help for medical diagnosis. Especially in computer science, many researchers attempt to use data mining techniques for analyzing large amount of data to discover pattern or knowledge from those data. In this study, a classification technique with supervised learning is considered. From the preliminary study, each classification technique yields different performance. With this reason, a new classification model that combines the advantage of individual classifiers is proposed to achieve higher performance. The proposed model consists of two classification stages. Three techniques composed of Support Vector Machine (SVM), K-Nearest Neighbor (KNN) method and Naïve Bayes approach are applied to an instance separately for the first stage. Then, the results from the techniques will be fed into multi-layer perceptron with back-propagation learning for the second classification stage. Moreover, heart disease, one of the leading causes of death in Thailand, has been selected for diagnosis in this study. A dataset of the disease consists of two classes: risk and non-risk. From the experimental results, the proposed model mixed from three techniques outperforms the existing classifiers including the individual techniques.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130409642","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

The Fuzzy Scheduling Algorithm for the Parallel Key Searching Problem on Cloud Environment 云环境下并行键搜索问题的模糊调度算法

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443824

Pimsiri Tubthong, V. Suttichaya

引用次数: 2

Sign Translation with Myo Armbands 用Myo臂章进行手语翻译

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443836

Malika Vachirapipop, Safra Soymat, Wasurat Tiraronnakul, Narit Hnoohom

引用次数: 0

Development of a Fully Interoperable Middleware Framework Based on IoT Techniques 基于物联网技术的完全互操作中间件框架的开发

2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443801

Nay Min Htaik, Nyein Aye Maung Maung, Win Zaw

{"title":"Development of a Fully Interoperable Middleware Framework Based on IoT Techniques","authors":"Nay Min Htaik, Nyein Aye Maung Maung, Win Zaw","doi":"10.1109/ICSEC.2017.8443801","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443801","url":null,"abstract":"Nowadays, most countries have been emphasizing the essential roles of the agriculture industry and related technologies affecting agricultural production. The agricultural area becomes modernized with the involvement of Internet of things (IoT) technologies for crops' growth monitoring, irrigation decision and harvesting system. However, due to the complexity of IoT middleware, most of the middleware frameworks are designed to be used by IT analysts. To allow non-IT analysts (e.g. farmers, plant scientist) to configure the sensor devices easier and faster, without knowing the background knowledge of technical details, sensor-level configuration of heterogeneous devices needs to be fully interoperable (network, syntactic, and semantic interoperability) due to the huge number of sensor devices integrated (e.g., Zigbee, Wi-Fi, Bluetooth) and their diversity in term of data formats, communication protocols, nature of components etc. In this paper, we propose a fully interoperable middleware framework that incorporates semantic web technologies with the existing Global Sensor Network (GSN) middleware to solve the above challenges. The proposed system supports horizontally semantic interoperability which addresses the challenge of adaptability of our approach to different domains. Performance of the proposed system will be implemented and evaluated mainly in crops' growth of agriculture area of Myanmar and, in addition, environmental pollution of meteorological area to confirm its adaptability with different domains.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115164055","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