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2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)最新文献

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Parallel dynamic programming based on stage ReConstruction and its application in reservoir operation 基于阶段重构的并行动态规划及其在油藏运行中的应用
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912155
Huitao Zheng, Kai Duan, Ya-dong Mei, Yuru Lin
{"title":"Parallel dynamic programming based on stage ReConstruction and its application in reservoir operation","authors":"Huitao Zheng, Kai Duan, Ya-dong Mei, Yuru Lin","doi":"10.1109/ICIS.2014.6912155","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912155","url":null,"abstract":"Dynamic programming is a classisc method to solve reservoir optimized operation. However, with the increasing number of reservoir power stations, computation amount is increasing exponentially, resulting in a dramatic decrease in the timeliness of solving and even causing “curse of dimensionality”. In response to this, we improved the serial recursion calculation process of dynamic programming and introduced parallel dynamic programming based on stage reconstruction. Through the proposed algorithm a multistage decision problem can be repeatedly reconstructed in a parallel environment and gradually transferred to a single stage issue. This algorithm was then applied to solve the optimized operation of cascade reservoirs in the lower reach of Yalong River in China. Analog computation was carried out to evaluate the effects of parameter control on the parallel calculation performance of the algorithm. Results indicate that the calculating efficiency, compared with serial dynamic programming, can be significantly improved without sacrificing the accuracy with parallel dynamic programming based on stage reconstruction.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411357","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
Improving industrial production process using computer technology: An interdisciplinary curriculum 利用计算机技术改进工业生产过程:跨学科课程
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912103
Jianqin Zhao, Yeong-Tae Song
{"title":"Improving industrial production process using computer technology: An interdisciplinary curriculum","authors":"Jianqin Zhao, Yeong-Tae Song","doi":"10.1109/ICIS.2014.6912103","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912103","url":null,"abstract":"With the recent advancement of science and technology, the modern industry-oriented competency requirements in mechanical engineering demand higher education for essential computer based knowledge. Production processes in modern factories these days, for example, mostly are controlled and operated by computers but current mechanical engineering curriculum doesn't provide such knowledge. In this paper, we proposed an interdisciplinary curriculum that is designed for undergraduate mechanical engineering major students so they may meet the competency requirements for the industry. An ideal industrial production process management method, where computer networking and cloud computing concepts are considered in the design, was proposed to illustrate such needs. The proposed method is designed to solve the problems that the modern production industries are experiencing. The proposed curriculum is designed to provide such computer knowledge to the mechanical engineering major students, which attempts to satisfy the modern industry-oriented competency requirements.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123420558","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
An Automatic English Composition scoring model based on neural network algorithm 基于神经网络算法的英语作文自动评分模型
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912123
Ya Zhou, Taosong Fan, Guimin Huang
{"title":"An Automatic English Composition scoring model based on neural network algorithm","authors":"Ya Zhou, Taosong Fan, Guimin Huang","doi":"10.1109/ICIS.2014.6912123","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912123","url":null,"abstract":"In this paper, an Automatic English Composition scoring (AECS) model based on neural network algorithm is constructed by extracting the lexical feature, syntactic feature and readability features which reflect the content writing quality and determining these features' weight in composition scoring. The model uses training data to train the neural network and eventually it obtains the neural networks indicating the relationship of these features which can be used to predict the English compositions' final scores. Through an objective comparison of the scores predicted by AECS and experienced teachers, we know that the AECS model we proposed can well reflect the level of students' writing.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128432506","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
Automated analysis and evaluation of SEC documents 自动分析和评估SEC文件
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912118
Ying Zheng, H. Zhou, Zhijiang Chen, Nnanna Ekedebe
{"title":"Automated analysis and evaluation of SEC documents","authors":"Ying Zheng, H. Zhou, Zhijiang Chen, Nnanna Ekedebe","doi":"10.1109/ICIS.2014.6912118","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912118","url":null,"abstract":"This paper presents an intelligent corporate governance analysis and rating system, called AAE System, capable of retrieving SEC required documents of public companies and performing analysis and rating in terms of recommended corporate governance practices. With Machine Learning, local knowledge bases, databases, and semantic networks, the AAE system is able to automatically evaluate the strengths, deficiencies, and risks of a company's corporate governance practices and board of directors based on the documents stored in the SEC EDGAR database[1]. The produced score reduces a complex corporate governance process and related policies into a single number which enables concerned government agencies, investors and legislators to assess the governance characteristics of individual companies.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134477498","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
Distributed video transcoding based on MapReduce 基于MapReduce的分布式视频转码
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912152
Chenwei Song, W. Shen, Lianqiang Sun, Zhou Lei, Weimin Xu
{"title":"Distributed video transcoding based on MapReduce","authors":"Chenwei Song, W. Shen, Lianqiang Sun, Zhou Lei, Weimin Xu","doi":"10.1109/ICIS.2014.6912152","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912152","url":null,"abstract":"Video transcoding is an important job in video processing and network service. With the improvement of devices and the Internet, the size of the video increases rapidly so that it takes a lot of resources to transcode. Low efficiency, high cost of upgrading hardware and low capacity of processing failure are problems of the traditional method of serial transcoding. Distributed transcoding can resolve these problems. To reduce the time of serial processing and be able to deal with the fault, this paper means to model a distributed video transcoding system which is based on MapReduce, an open source distribute computing model, and FFmpeg.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133883525","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: 13
Intrusion detection based on neural networks and Artificial Bee Colony algorithm 基于神经网络和人工蜂群算法的入侵检测
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912144
Q. Qian, Jing Cai, Rui Zhang
{"title":"Intrusion detection based on neural networks and Artificial Bee Colony algorithm","authors":"Q. Qian, Jing Cai, Rui Zhang","doi":"10.1109/ICIS.2014.6912144","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912144","url":null,"abstract":"Intrusion detection, as a dynamic security protection technology, is able to defense the internal and external network attacks. Using Artificial Bee Colony algorithm to optimize the parameters of neural network is to avoid the neural network falling into a local optimum, can solve the problem of slow convergence speed of the neural network algorithm. Also Artificial Bee Colony algorithm can deal with the problem of finding the optimal solutions in a very short period of time. In this paper, An Artificial Bee Colony optimized neural network algorithm is applied to intrusion detection. And the experimental results shows that the optimized method has better detection accuracy and efficiency than the single BP neural network.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131884353","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
Rice paper classification study based on signal processing and statistical methods in image texture analysis 基于图像纹理分析中信号处理和统计方法的宣纸分类研究
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.4018/ijsi.2014070101
Haotian Zhai, Hongbin Huang, Shaoyan He, Weiping Liu
{"title":"Rice paper classification study based on signal processing and statistical methods in image texture analysis","authors":"Haotian Zhai, Hongbin Huang, Shaoyan He, Weiping Liu","doi":"10.4018/ijsi.2014070101","DOIUrl":"https://doi.org/10.4018/ijsi.2014070101","url":null,"abstract":"Texture analysis plays an important role in image processing. In the texture analysis field, the regular texture has been studied a lot, but the natural texture with complex backgrounds is less studied. In this paper we bring texture analysis into the study of rice paper's classification. First of all we show the processing flow chart of rice paper classification. By comparing the different kinds of texture analysis methods we choose the LAWS texture method and uncertainty texture spectrum method to achieve the rice paper classification. When we use the two texture analysis methods separately, the classification accuracy of rice paper is lower. So we try to combine the two texture analysis methods. The experimental results show that the classification result when we combine the two texture analysis methods is better than the result when we only use one single texture analysis method. The classification accuracy of rice paper has been distinctly improved after the combination of the two texture analysis methods.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133431270","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: 10
Supporting program comprehension with program summarization 通过程序摘要来支持程序理解
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912159
Yu Liu, Xiaobing Sun, Xiangyue Liu, Yun Li
{"title":"Supporting program comprehension with program summarization","authors":"Yu Liu, Xiaobing Sun, Xiangyue Liu, Yun Li","doi":"10.1109/ICIS.2014.6912159","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912159","url":null,"abstract":"A large amount of software maintenance effort is spent on program comprehension. How to accurately and quickly get the functional features in a program becomes a hot issue in program comprehension. Some studies in this area are focused on extracting the topics by analyzing linguistic information in the source code based on the textual mining techniques. However, the extracted topics are usually composed of some standalone words and difficult to understand. In this paper, we attempt to solve this problem based on a novel program summarization technique. First, we propose to use latent semantic indexing and clustering to group source artifacts with similar vocabulary to analyze the composition of each package in the program. Then, some topics composed of a vector of independent words can be extracted based on latent semantic indexing. Finally, we employ Minipar, a nature language parser, to help generate the summaries. The summaries can effectively organize the words from the topics in the form of the predefined sentence based on some rules. With such form of summaries, developers can understand what the features the program has and their corresponding source artifacts.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131048515","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
Admissible evidence: Trustworthy cooperative spectrum sensing based on Dempster-Shafer theory in cognitive radio networks 可采证据:认知无线电网络中基于Dempster-Shafer理论的可信合作频谱感知
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912099
S. Feng, Xueqiang Zheng, Ran Liu, Juan Chen, Suqin Xu, Linyuan Zhang
{"title":"Admissible evidence: Trustworthy cooperative spectrum sensing based on Dempster-Shafer theory in cognitive radio networks","authors":"S. Feng, Xueqiang Zheng, Ran Liu, Juan Chen, Suqin Xu, Linyuan Zhang","doi":"10.1109/ICIS.2014.6912099","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912099","url":null,"abstract":"Cognitive radio (CR) is a promising technology which improves the spectrum utilization. Cooperative spectrum sensing (CSS) has been adopted to exploit spatial diversity in cognitive radio networks (CRNs). Since CSS is subject to attacks from malicious users, several secure schemes have been proposed recently. But, they only utilize current information to estimate the reliability of secondary users. In this paper, we propose a trustworthy CSS scheme based on Dempster-Shafer theory. It evaluates the trustworthiness degree of each user with two indicators, which are the current reliability and the historical reputation. Besides, it takes advantage of Dempster-Shafer theory's ability to reflect uncertainty in the evaluation as well. Simulation results have shown that the proposed scheme is effective to counter with different attacks patterns.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114314119","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
A randomized window-scanning RSA scheme resistant to power analysis 一种抗功率分析的随机窗口扫描RSA方案
2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) Pub Date : 2014-06-04 DOI: 10.1109/ICIS.2014.6912137
Yezhen Liang, Guoqiang Bai
{"title":"A randomized window-scanning RSA scheme resistant to power analysis","authors":"Yezhen Liang, Guoqiang Bai","doi":"10.1109/ICIS.2014.6912137","DOIUrl":"https://doi.org/10.1109/ICIS.2014.6912137","url":null,"abstract":"An effective randomized window-scanning RSA scheme resistant to power analysis is presented in this paper. Unlike the traditional countermeasures such as message blinding or the multiply-always exponentiation scheme, our proposal focuses on randomizing the position information of the exponentiation bits which is a brand new direction for anti-power analysis research. Experimental results show that it works effectively against power analysis with a minimum overhead compared with other countermeasures.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116297740","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
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