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2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)最新文献

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Research and implementation on portable metal-oxide arresters performance detection 便携式金属氧化物避雷器性能检测的研究与实现
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960013
Yang Wenling, C. Guowei, Wang Menhong, Gong Jianxin
{"title":"Research and implementation on portable metal-oxide arresters performance detection","authors":"Yang Wenling, C. Guowei, Wang Menhong, Gong Jianxin","doi":"10.1109/ICIS.2017.7960013","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960013","url":null,"abstract":"This paper proposed a new portable measurement method for resistive leakage current of MOA (Metal Oxide Arrester). This method mainly utilizes electric field coupling theory to obtain the voltage phase information of MOA, and uses current transformer to get the effective value and phase information of full leakage current from lightning counter, then it obtains the resistance current value by calculation. With above principles, we designed a portable MOA performance detection circuit, and verified the validity. This method is simple, convenient and secure.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130372857","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
Analysis and studies on the influence of housing estate openness on road capacity 住宅小区开放度对道路通行能力影响的分析与研究
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960085
Yuping Li, Jinnuo Zhang, Guojia Su
{"title":"Analysis and studies on the influence of housing estate openness on road capacity","authors":"Yuping Li, Jinnuo Zhang, Guojia Su","doi":"10.1109/ICIS.2017.7960085","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960085","url":null,"abstract":"By measuring correlated variables in housing estates corresponding to different grades of roads in Zhengzhou City, obtain the conclusion based on correlation values: the saturated headway is low, average travel speed is high in high-grade corresponding housing estate, i.e. obtain the impact of different types of housing estate openness on road passage. Then on housing estate mode and scale, propose reasonable suggestions for urban planning sector and traffic administrative department from two aspects: income increase and expenditure reduction.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129594319","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
Heuristic simulated annealing approach for diffusion scheduling in a semiconductor Fab 半导体晶圆厂扩散调度的启发式模拟退火方法
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960099
Yinzhi Zhou, Kan Wu
{"title":"Heuristic simulated annealing approach for diffusion scheduling in a semiconductor Fab","authors":"Yinzhi Zhou, Kan Wu","doi":"10.1109/ICIS.2017.7960099","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960099","url":null,"abstract":"This paper presents an efficient algorithm for diffusion scheduling in a semiconductor fab. The diffusion area commonly creates long queue time in the entire process flow. Due to the complex constraints, such as parallel batching and time windows, and large solution space, it is difficult to find a feasible schedule in a timely manner. A greedy randomized procedure forms the batches. A heuristic method is introduced to handle the time window constraints. Two important properties of the problem are identified and applied to improve the quality of the solution. Simulated annealing is used as a local search procedure. Compared with the real schedule in the fab, the proposed algorithm can increase the effective moves significantly without violating queue time constraints.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131061905","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
Radio and television operators cloud computing infrastructure research system 广电运营商云计算基础设施研究体系
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960079
Chunjie Zhang, Wenqian Shang, Weiguo Lin, Yongan Li, Rui Tan
{"title":"Radio and television operators cloud computing infrastructure research system","authors":"Chunjie Zhang, Wenqian Shang, Weiguo Lin, Yongan Li, Rui Tan","doi":"10.1109/ICIS.2017.7960079","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960079","url":null,"abstract":"Cloud computing is the product of a traditional classical computer technology, communications technology integration and development, also the key technology to lead information industry means to the future of innovation. This article describes the key technology of cloud computing, reviews cloud computing for industry development status and analyzes the applications of radio and television carrier services, researches how to build a legitimate broadcasting operators cloud computing architecture for supporting the corresponding business applications, how to improve user perception, reducing stress operator core system for enterprises and make cost efficiency.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131243512","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
Credit evaluation of gas consumers by combining hierarchy analysis with clustering 基于层次分析与聚类相结合的燃气用户信用评价方法
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960107
Wenqing Xu, Huiqun Yu, Jianmei Guo, Jinglei Shen, Huaiying Sun
{"title":"Credit evaluation of gas consumers by combining hierarchy analysis with clustering","authors":"Wenqing Xu, Huiqun Yu, Jianmei Guo, Jinglei Shen, Huaiying Sun","doi":"10.1109/ICIS.2017.7960107","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960107","url":null,"abstract":"Credit evaluation of customer is an important task for gas companies to achieve marketing management, and is of great significance to improve the economic efficiency of enterprises. By analyzing various factors influencing gas customer credit, a gas customer credit index hierarchy is established. Then, based on the credit index hierarchy, this paper proposes a hybrid credit evaluation method by cluster analysis and analytic hierarchy process(AHP). This method first divides gas customers into different groups by cluster analysis, then determines the credit index weight by AHP, and finally evaluates gas customer credit rating by combining the above two results. The empirical analysis of the actual data of a gas company shows that as a synthesis of customer data's statistical properties and gas professionals' actual work experience, this model can evaluate gas customer credit rating rationally and effectively.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133579724","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
Wetland remote sensing classification using support vector machine optimized with co-evolutionary algorithm 协同进化算法优化的支持向量机湿地遥感分类
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960046
Xiaodong Yu, Hongbin Dong
{"title":"Wetland remote sensing classification using support vector machine optimized with co-evolutionary algorithm","authors":"Xiaodong Yu, Hongbin Dong","doi":"10.1109/ICIS.2017.7960046","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960046","url":null,"abstract":"In order to improve the accuracy of support vector machine (SVM) classification of wetland remote sensing images, the selection of kernel function parameters in support vector machines becomes an effective approach. In this paper, Particle Swarm Optimization and Genetic Algorithms (PSO-GA) co-evolutionary algorithm are used to optimize the SVM parameters. Because of the complementarity of evolutionary features between PSO and GA, this algorithm is combined with PSO and GA to improve the convergence speed and realize the optimization of depth and breadth. Experimental results show that SVM with PSO-GA co-evolutionary algorithm can achieve high classification accuracy in finite iteration times compared with existing intelligent optimization algorithms.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133747355","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
On member search engine selection using artificial neural network in meta search engine 元搜索引擎中基于人工神经网络的成员搜索引擎选择
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960113
Denghong Liu, Xian Xu, Yu Long
{"title":"On member search engine selection using artificial neural network in meta search engine","authors":"Denghong Liu, Xian Xu, Yu Long","doi":"10.1109/ICIS.2017.7960113","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960113","url":null,"abstract":"Meta search engine is an effective tool for searching information online. In comparison with independent search engine like Google, Bing, and etc., meta search engine has a wider coverage and can meet the requirement of information retrieval in a better manner. In particular, when a query is received from the user, the meta search engine sends it to some proper candidate member engines, collects results from them, and then replies to the user. An important issue here is how to better select the underlying member search engines. In this paper, we focus on the engine selection in meta search engine. We propose a selection design based on the combination of weighted round robin algorithm and artificial neural network. The experimental results show that our design can indeed improve the relevancy between the query and member search engine, and thus the effectivity of member selection.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130054236","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
Two-scale geographic back-pressure algorithm for deep space networks 深空网络的双尺度地理背压算法
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7959968
Zhenghui Liu, Lixiang Liu, Jianzhou Chen
{"title":"Two-scale geographic back-pressure algorithm for deep space networks","authors":"Zhenghui Liu, Lixiang Liu, Jianzhou Chen","doi":"10.1109/ICIS.2017.7959968","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7959968","url":null,"abstract":"In order to efficiently transfer data, rate control and route scheduling are critical in deep space scenarios. The major challenge is the long-haul and intermittent links, which easily leads to low link utilization. However, Traditional backpressure algorithms can not acquire accurate queue information and maintain long queues at each node. Therefore, we devise a system model for deep space networks, which divides the network into different clusters according to different distance scales. Then, we propose a two-scale geographic back-pressure algorithm whose goal is to improve throughput and decrease propagation delays. In one cluster, we introduce a delay cost function with geographic location information of nodes. And we implement two types of queues at each node between different clusters. The simulation results demonstrate that our algorithm can get smaller average queue lengths and reduce end-to-end delays by 23% compared to original back-pressure algorithms.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130280827","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 ant particle filter for visual tracking 一种用于视觉跟踪的蚂蚁粒子过滤器
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960029
Fasheng Wang, Baowei Lin, Xucheng Li
{"title":"An ant particle filter for visual tracking","authors":"Fasheng Wang, Baowei Lin, Xucheng Li","doi":"10.1109/ICIS.2017.7960029","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960029","url":null,"abstract":"Sequential Monte Carlo method (also named as particle filter) is now a standard framework for solving nonlinear/non-Gaussian problems, especially in computer vision fields. This paper proposes an ant colony optimization (ACO) based iterative particle filter for visual tracking. In the proposed tracking method, the basic idea of ACO is used to simulate the behavior of particle moving toward the posterior density. Such idea is incorporated into the particle filtering framework in order to overcome the well-known problem of particle impoverishment. We design an iterative proposal distribution for particle generation in order to generate better predicted sample states. The experimental results demonstrate that the proposed tracker shows better performance than the other trackers.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131326835","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
An improved fuzzy mutual information feature selection for classification systems 分类系统中一种改进的模糊互信息特征选择方法
2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7959980
Liwei Wang, Omar A. M. Salem
{"title":"An improved fuzzy mutual information feature selection for classification systems","authors":"Liwei Wang, Omar A. M. Salem","doi":"10.1109/ICIS.2017.7959980","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7959980","url":null,"abstract":"Classification systems are sensitive to input data, especially for datasets with a IoT of undesirable features. Selecting relevant features and avoiding irrelevant or redundant features builds effective systems. Fuzzy Mutual Information measures the relevance and redundancy of features. Although it can deal directly with continuous data without discretization, it still requires more computation and storage space. In this paper, we propose an improved fuzzy mutual information to solve this problem. Furthermore, we integrate it with normalized max-relevance and min-redundancy (mRMR) approach. It does not only select the relevant features but also avoids the redundancies with respect to the domination between them. Our experiment was evaluated according to storage, stability, classification accuracy, and the number of selected features. Based on 12 benchmark datasets, experimental results confirm that our proposed method achieved better results.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114547675","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
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