2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)最新文献_第2页

Knowledge management system for failure analysis in hard disk using case-based reasoning 基于案例推理的硬盘故障分析知识管理系统

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-26 DOI: 10.1109/SNPD.2017.8332383

Parinya Wichawong, P. Chongstitvatana

{"title":"Knowledge management system for failure analysis in hard disk using case-based reasoning","authors":"Parinya Wichawong, P. Chongstitvatana","doi":"10.1109/SNPD.2017.8332383","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8332383","url":null,"abstract":"Hard disk failure is a serious problem in term of product quality and credibility to customers. All hard disk drive companies need to be aware and address how to get rid of failure and prevent the repeat of the problem in their products. The quality of failure analysis process depends on the person who has most experience. It would not be so efficient if the company has no experienced person to perform the analysis. A knowledge management system can store the knowledge of experienced engineers. It can help new engineers to learn the craft. It would reduce a knowledge gap issues and bring up efficiency for failure solving process. This paper presents a design and implementation of knowledge management system for failure analysis in hard disk with case-based reasoning. The existing cases are stored and a new case can be compared to the existing one in order to retrieve the relevant existing knowledge to help the analysis. Once the new case is solved, it can be stored to aid the future cases. A prototype of the system has been implemented and the assessment of user satisfaction shows that it can improve the failure analysis process effectively.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126476017","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

Automatic manga colorization with color style by generative adversarial nets 生成对抗网自动漫画着色与色彩风格

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-26 DOI: 10.1109/SNPD.2017.8022768

Yuusuke Kataoka, Takashi Matsubara, K. Uehara

引用次数: 8

Price evaluation model in second-hand car system based on BP neural network theory 基于BP神经网络理论的二手车系统价格评估模型

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-26 DOI: 10.1109/SNPD.2017.8022758

Ning Sun, H. Bai, Yuxia Geng, Huizhu Shi

{"title":"Price evaluation model in second-hand car system based on BP neural network theory","authors":"Ning Sun, H. Bai, Yuxia Geng, Huizhu Shi","doi":"10.1109/SNPD.2017.8022758","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022758","url":null,"abstract":"With the rapid growth of the number of private cars and the development of the second-hand car market, second-hand cars have become the main choice when people buy cars. The online second-hand car platform provides both buyers and sellers the chance of online P2P trade. In such systems, the accuracy of second-hand car price evaluation largely determines whether the seller and the buyer can get more efficient trading experience. In this paper, the price evaluation model based on big data analysis is proposed, which takes advantage of widely circulated vehicle data and a large number of vehicle transaction data to analyze the price data for each type of vehicles by using the optimized BP neural network algorithm. It aims to establish a second-hand car price evaluation model to get the price that best matches the car. In this paper, the optimized BP neural network algorithm is used to select the optimal number of hidden neurons in BP neural network, which improves the convergence speed of the network topology and the accuracy of the prediction model. Through the sampling simulation experiments, the fitting curve of the prediction price is compared with the real transaction price derived from the optimized model. As a result, the fitting of the optimized model is better as well as the accuracy is higher.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132081834","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: 25

Primate swarm algorithm for continuous optimization problems 连续优化问题的灵长类群算法

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-26 DOI: 10.1109/SNPD.2017.8022653

Amarita Ritthipakdee, A. Thammano

引用次数: 3

Intrusion detection using clustering of network traffic flows 入侵检测利用网络流量的聚类

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-26 DOI: 10.1109/SNPD.2017.8022786

Matthew J. Bailey, Connor Collins, Matthew Sinda, Gongzhu Hu

引用次数: 2

A new hybrid model of PSO and DE algorithm for data classification 一种新的PSO和DE混合模型的数据分类算法

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-26 DOI: 10.1109/SNPD.2017.8022699

Wannaporn Teekeng, Pornkid Unkaw

引用次数: 6

Based on the analysis of mobile terminal application software performance test 基于对移动终端应用软件性能测试的分析

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022751

Du Chunye, Song Wei, Wu Jianhua

引用次数: 2

Issues with conducting controlled on-line experiments for E-Commerce 进行电子商务控制在线实验的问题

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022721

Dapeng Liu, Shaochun Xu, Brian Zhang, Chunlin Wang, Chunqing Li, Feng Zhou

引用次数: 2

Improving the precision of static analysis: Symbolic execution based on GCC abstract syntax tree 提高静态分析的精度:基于GCC抽象语法树的符号执行

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022752

Hongliang Liang, Shirun Liu, Yini Zhang, Meilin Wang

引用次数: 5

Weighted distance grey wolf optimization with immigration operation for global optimization problems 带迁移操作的加权距离灰狼优化全局优化问题

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022652

Duangjai Jitkongchuen, Warattha Sukpongthai, A. Thammano

引用次数: 6