2017 International Conference on Computer, Information and Telecommunication Systems (CITS)最新文献_第6页

Web Service framework to translate text into sign language Web服务框架，将文本翻译成手语

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035336

Teranai Vichyaloetsiri, Pongpisit Wuttidittachotti

引用次数: 10

Genetically Inspired Contact Plan Design in Small Satellite Networks 小型卫星网络中受基因启发的接触计划设计

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035308

Cuiqin Dai, Huang Tang

引用次数: 1

3D face reconstruction based on progressive cascade regression 基于递进级联回归的三维人脸重建

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035340

Lihua Han, Quan Xiao, X. Liang

引用次数: 0

Quality management system of GMAW based on network GMAW基于网络的质量管理体系

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035313

Xiaoxiao Zhou, Kehong Wang, Yuehai Feng, Yong Huang

{"title":"Quality management system of GMAW based on network","authors":"Xiaoxiao Zhou, Kehong Wang, Yuehai Feng, Yong Huang","doi":"10.1109/CITS.2017.8035313","DOIUrl":"https://doi.org/10.1109/CITS.2017.8035313","url":null,"abstract":"From process formulation, welding production to quality inspection, welding quality management needs the cooperation of many departments. In actual production, the repeated works, omissions, and other problems of the establishment of welding procedure specification (WPS) occur from time to time. Dynamic changes of welding current and voltage signals can reflect the performance of electric arc; unstable arc will result in the instability of welding process, and then cause the bad forming and quality. A system that can both manage the welding procedure and monitor the online welding quality is badly needed. Therefore, a quality management system of gas metal arc welding (GMAW) based on network was proposed. The system contains the management of welding procedure, and the online process monitor of GMAW. The management of welding procedure can not only manage the WPS, welding procedure qualification records (PQR), and the related information, but also establish new WPS based on cases or rules or the combination of the two. The WPS and welding parameters were connected by joint number cross database. The online monitor of welding process contains online acquisition, network transmission, analysis, and storage of the welding current and arc voltage parameters. And then the stability of welding process was evaluated based on the analysis results, such as the statistics and the current - voltage map, as well as the approximate entropy-support vector machine method.","PeriodicalId":314150,"journal":{"name":"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810064","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

The effect of spatial autocorrelation on spatial co-location pattern mining 空间自相关对空间共位模式挖掘的影响

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035297

Jiangli Duan, Lizhen Wang, Xin Hu

引用次数: 4

On achieving optimal congestion control for elastic traffic in cognitive radio ad hoc networks under predictable contact 可预测接触下认知无线电自组织网络弹性流量最优拥塞控制研究

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035276

Long Zhang, Yuqiong Cao, Haitao Xu

引用次数: 1

A simple method to obtain relations among factor basis elements for special hyperelliptic curves 一种求特殊超椭圆曲线因子基元关系的简单方法

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035334

Jie Zhu, Maozhi Xu

引用次数: 0

Performance analysis of VoWIFI on RAN 无线局域网上VoWIFI的性能分析

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035274

Yan Yang, Yong Qiu, Zhang Tao

引用次数: 2

An improved changing-topology moving mesh method in OpenFOAM OpenFOAM中一种改进的变拓扑移动网格方法

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035337

Jinyu Wang, Xinhai Xu, Chao Li, Yuhua Tang

引用次数: 0

E-commerce purchase prediction approach by user behavior data 基于用户行为数据的电子商务购买预测方法

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) Pub Date : 2017-07-01 DOI: 10.1109/CITS.2017.8035294

Ru Jia, Ru Li, Meiju Yu, Shanshan Wang

{"title":"E-commerce purchase prediction approach by user behavior data","authors":"Ru Jia, Ru Li, Meiju Yu, Shanshan Wang","doi":"10.1109/CITS.2017.8035294","DOIUrl":"https://doi.org/10.1109/CITS.2017.8035294","url":null,"abstract":"while e-commerce has grown quickly in recent years, more and more people are used to utilize this popular channel to purchase products and services on the Internet. Therefore, it becomes very important for shopping sites to predict precisely which items their customers would buy so as to increase sales or improve customer satisfaction. Traditional algorithms such as Collaborative Filtering, has been very popular in predicting users' preferences in movie, book, or music recommendation areas, but they face the problem that rating data is very sparse or even not available in shopping domain. Compared to the small amount of ratings in e-commerce shopping sites, the quantity of user clicking data is abundant and also contains sufficient information about users' purchase preferences. Therefore, in this paper we propose a prediction method based on probability statistics making use of user clicking behavior data. To evaluate the proposed approach, we use the data set provided by Ali Mobile Recommendation Competition held in 2015 which consisted of the huge amount of the clicking behavior log from 10,000 mobile users in one month. The experimental results show that our proposed method significantly alleviates the problem of data sparseness which traditional algorithms fail to deal with.","PeriodicalId":314150,"journal":{"name":"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127572647","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: 17