2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献_第6页

Customer load monitoring and intelligent control device 客户负荷监测及智能控制装置

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250502

D. Bliznyuk, Pavel Y. Bannykh, V. Samoylenko, A. Pazderin, P. Kovalenko

引用次数: 0

The usage of parallel calculations in state estimation algorithms 并行计算在状态估计算法中的应用

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250444

P. Ilya, Chusovitin Pavel, M. Olga, P. Andrey

{"title":"The usage of parallel calculations in state estimation algorithms","authors":"P. Ilya, Chusovitin Pavel, M. Olga, P. Andrey","doi":"10.1109/ICITEED.2017.8250444","DOIUrl":"https://doi.org/10.1109/ICITEED.2017.8250444","url":null,"abstract":"An increasing calculation speed is one of the highest priorities in developing power system state estimation (SE) algorithms. Modern power systems are continuously growing and different types of new measurements are appearing in networks which impact on a practical implementation of SE. The expanding size and growing complexity of the SE task lead to increasing computation burden. The paper proposes parallel execution approaches of mathematical operations, which used in different stages of SE algorithms. Also, the new matrix storing format suited for parallel manipulations is suggested. The format allows adding new elements to the matrix in any sequence without reallocating memory and performing fast multiplication of two sparse matrices. Their implementation can significantly shorten computation time. Also, it allows to use resources of modern computers in a greater extent. Different approaches for SE are widely used today. Each of them has some features that must be taken into account in practical implementation. The application of parallel calculations to the SE problem in different statements is analyzed in this paper. The elapsed time for parallel executing of mathematical operations in comparison with their sequential realization is provided.","PeriodicalId":267403,"journal":{"name":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132156328","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

Development of student-centred language learning environment 建立以学生为中心的语言学习环境

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250433

J. Seppälä, K. Yajima

引用次数: 3

Industrial wireless sensor selection method by using decision tree 基于决策树的工业无线传感器选择方法

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250500

Saksiri Meesawad, Olam Wongwirat

{"title":"Industrial wireless sensor selection method by using decision tree","authors":"Saksiri Meesawad, Olam Wongwirat","doi":"10.1109/ICITEED.2017.8250500","DOIUrl":"https://doi.org/10.1109/ICITEED.2017.8250500","url":null,"abstract":"Presently, an industrial wireless sensor (IWS) has been interested and widely used by various industries. There are many industries trying to adopt qualified IWS products in competitive market for gaining advantage. The challenge in selection IWS includes not only the price, but also several factors, e.g., data rate, output power, operating voltage, current transmitting, current receiving, operate temperature, brand and so on. These factors cause difficulty for making decision by engineers or project managers, since there are a number of factors to select simultaneously in order to find the optimal IWS to use. In this paper, we propose the method for IWS selection by using decision tree in data mining. The proposed method is suitable for the problems involving a multiple factors selection simultaneously, as in the IWS selection problem. The IWS factors used for attribute decision are defined in this work, as well as the model of training set preferences. The classification method and decision tree technique are also derived in the paper to acquire the result, including the cross validation check for the result obtained. The result expressed that the decision tree provides the correct decision to optimal classification. It is rationality and feasibility for selection the qualified IWS products.","PeriodicalId":267403,"journal":{"name":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114589170","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

Detecting cluster numbers based on density changes using density-index enhanced Scale-invariant density-based clustering initialization algorithm 使用密度指数增强的尺度不变密度聚类初始化算法检测基于密度变化的聚类数

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250481

Onapa Limwattanapibool, S. Arch-int

{"title":"Detecting cluster numbers based on density changes using density-index enhanced Scale-invariant density-based clustering initialization algorithm","authors":"Onapa Limwattanapibool, S. Arch-int","doi":"10.1109/ICITEED.2017.8250481","DOIUrl":"https://doi.org/10.1109/ICITEED.2017.8250481","url":null,"abstract":"Despite high accuracy, K-means relies mainly on the determination of the suitable number of clusters. To cope with, it is hypothesized that in a dataset region with high density tends to be a cluster. The present study is based on Scaleinvariant density-based clustering initialization, in which a cluster numbers is derived from density change analysis or density distribution analysis. However, the density calculation under this approach is based on the number and volume of data, which may result in inaccuracy for cluster detection. Thus, the objective of this study was to improve the performance of Scaleinvariant density-based clustering initialization to detect the appropriate cluster numbers and initial cluster centers. We proposed a density calculation based on data distance. The density value obtained from the calculation was used as a condition of data division and data merging for cluster detection. According to the experiment, compared to the Scale invariant density-based clustering initialization, the proposed method could detect the cluster numbers and initial cluster centers more equal or closer to the actual number of clusters. In addition, the level of accuracy in clustering was higher than its counterpart.","PeriodicalId":267403,"journal":{"name":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125130425","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

Image-based pavement crack detection by percolation theory 基于渗透理论的图像路面裂缝检测

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250508

Yasuhiro Kawasaki, Kousuke Matsushima, Z. Zhong

引用次数: 0

The wireless sensor network monitoring of sea level and wind speed 无线传感器网络监测海平面和风速

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250467

Naras Kwanthong, Nikom Onsri, Supawat Inkerd, N. Klompong

引用次数: 3

A framework for origin-destination estimation using license plate recognition for Thai rural traffic 基于车牌识别的泰国农村交通始发目的地估计框架

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250439

Kitipong Praphananurak, Winai Sanghitkul, Voraniti Chovichien, P. Watanachaturaporn

{"title":"A framework for origin-destination estimation using license plate recognition for Thai rural traffic","authors":"Kitipong Praphananurak, Winai Sanghitkul, Voraniti Chovichien, P. Watanachaturaporn","doi":"10.1109/ICITEED.2017.8250439","DOIUrl":"https://doi.org/10.1109/ICITEED.2017.8250439","url":null,"abstract":"Origin-Destination (OD) estimation is a crucial parameter for planning city transportation network. Classical methods for collecting the OD information including individual interviewing or using pressurized tube counting equipment; such example methods are practically limited by the number of people involved during observation and interview, traffic delay, budget, and short observation period. Accuracy from human observation and short observation period are doubtfully accurate. Using image processing technology, the OD estimation can be performed for longer period by analyzing vehicle movement from recorded video or online video feeds. Moreover, an individual average speed for each vehicle or type of vehicle are obtainable from identify the license plate number. This paper proposes of a framework for applying a license plate recognition technology for OD estimation for Thai rural traffic. The proposed framework obtains trustable estimation for each individual vehicle. The results can be verified later by human or other methods from recorded video. Therefore, higher accurate and trustable estimation is obtained and make available for later usage.","PeriodicalId":267403,"journal":{"name":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125062555","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

Knowledge management system for supporting organizational management and sustainable development: A case study of a research group in a university 支持组织管理和可持续发展的知识管理系统:以某大学某课题组为例

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250479

S. Nupap

引用次数: 5

Controller design using extension for neutral distributed-time-delay systems 中性分布时滞系统的扩展控制器设计

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI: 10.1109/ICITEED.2017.8250464

A. Iftar

引用次数: 5