Proceedings of the 4th International Conference on Computer Science and Application Engineering最新文献_第10页

Thermodynamic Simulation Analysis of ABB Stakpak IGBT Sub Module Based on ANSYS Workbench 基于ANSYS Workbench的ABB Stakpak IGBT子模块热力仿真分析

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425049

Zhongyuan Chen, Peng Wang, Jinyuan Li, Hao Li, Yunong Liu, Chunsheng Guo

引用次数: 0

A Multidimensional Interactive Techniques for Satellite Communication Simulation Application 多维交互技术在卫星通信仿真中的应用

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425124

Zhijie Mao, Yingmei Chen, Lin Zhou

引用次数: 1

A Coverage Hole Identification Scheme for Wireless Sensor Networks Based on Elfes Model 一种基于Elfes模型的无线传感器网络覆盖孔识别方案

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425038

Cheng Chen, Bin Wang, Bowen Huang

{"title":"A Coverage Hole Identification Scheme for Wireless Sensor Networks Based on Elfes Model","authors":"Cheng Chen, Bin Wang, Bowen Huang","doi":"10.1145/3424978.3425038","DOIUrl":"https://doi.org/10.1145/3424978.3425038","url":null,"abstract":"Coverage is an important metric for evaluating quality of service provided by wireless sensor networks (WSNs). Due to random deployment of nodes, events such as node energy exhaustion or node failure will lead to emergence of coverage holes in the sensing field and affect quality of service provided by wireless sensor networks. This paper proposes an efficient coverage hole identification algorithm under the Elfes model by a given threshold detection probability. The idea of the proposed algorithm is to first construct candidate coverage holes within the maximum sensing range around a faulty node by eliminating redundant area within it formed by its neighbors. Given the candidate coverage holes and specified threshold detection probability, coverage holes are identified under the Elfes model by random sampling. Compared with the existing work under the Elfes model, simulation results show that the presented algorithm significantly reduce the number of random points to be sampled when identifying coverage holes. In addition, when there are no coverage holes around a faulty node, no random sampling is necessary for our scheme. Hence efficiency of coverage hole identification is improved.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121543108","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

Research on Grid Edge Agent Based on Enhanced Analysis of Distribution Network Information Processing 基于配电网信息处理增强分析的网格边缘代理研究

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425133

Jian Shen, Y. Dai, Xiaofeng Dong

{"title":"Research on Grid Edge Agent Based on Enhanced Analysis of Distribution Network Information Processing","authors":"Jian Shen, Y. Dai, Xiaofeng Dong","doi":"10.1145/3424978.3425133","DOIUrl":"https://doi.org/10.1145/3424978.3425133","url":null,"abstract":"In the deepening construction of the strong smart grid and the rapid development of the ubiquitous IoT distribution network, issues such as lack of management and poor sharing of data during the mutual penetration and fusion of multiple types of data in the electric power Internet of Things are highlighted. Based on the analysis of the current situation of data acquisition and control of middle and low voltage distribution network, the information processing system of distribution network based on grid edge agent is proposed in this paper. The data of distribution network are analyzed and mined from multiple levels and angles, and the autonomic computing function similar to human brain is endowed to the distribution grid. In this paper, a comprehensive behavioral atlas of distribution network is constructed, and intelligent assisted strategy technology is proposed and successfully applied in the power system of a city in Jiangsu. This article introduces the system design concept, overall architecture and main functions in detail, and prospects its core technology and potential application range. The pilot application proved the rationality of the technical concept.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121656001","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

An Improvement of Line Segment Detection Algorithm Based on Convolutional Neural Network 基于卷积神经网络的线段检测算法改进

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3424994

Hongjian Han, Jiming Zheng

引用次数: 0

A Novel Structural Multiple Birth Support Vector Machine for Pattern Recognition 一种用于模式识别的新型结构多胎支持向量机

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425083

Qing Ai, Yude Kang, Wenyu Zhang, Ji Zhao

引用次数: 0

Research on the Application of Fuzzy Mathematics and Fuzzy Analysis in Building Engineering 模糊数学与模糊分析在建筑工程中的应用研究

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425043

Kuiyang Wang, Xiangqing Lu

引用次数: 1

Research on the Improvement of TODIM Decision Method Based on Triangular Intuitionistic Fuzzy Information 基于三角直觉模糊信息的TODIM决策方法改进研究

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425142

Yang Xie, Gongliang Li, Xiaolu Zhou

{"title":"Research on the Improvement of TODIM Decision Method Based on Triangular Intuitionistic Fuzzy Information","authors":"Yang Xie, Gongliang Li, Xiaolu Zhou","doi":"10.1145/3424978.3425142","DOIUrl":"https://doi.org/10.1145/3424978.3425142","url":null,"abstract":"The core of management is decision making. Scientific and efficient decision making on complex problems is the key to modern enterprise management. The decision-making oriented complex problems is characterized by multi-attribute, fuzzy evaluation information, group decision - making and influenced by decision-maker's behavior. In order to meet the needs of complex problem decision making, the classical TODIM method is limited to deal with precise number, traditional fuzzy number and intuitionistic fuzzy number, etc., so it cannot well deal with the decision-maker's hesitation and the discretization of intuitionistic fuzzy number domain at the same time. In this paper, the triangular intuitionistic fuzzy number was extended to the TODIM method, and the triangular intuitionistic modulus mixed average and mixed geometric integration operator were proposed to realize the fuzzy information expression and decision calculation method that accords with the psychological behavior characteristics of decision-makers. This method can be applied to multi-attribute and group decision making in modern enterprise management with known attribute and decision-maker weight.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131068340","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

Selection of Factors Affecting NOx Emissions Concentration Forecast Modeling Based on BP Neural Network 基于BP神经网络的NOx排放浓度预测模型影响因素选择

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425058

Jiang Yin, Jianyun Bai, X. Lei

{"title":"Selection of Factors Affecting NOx Emissions Concentration Forecast Modeling Based on BP Neural Network","authors":"Jiang Yin, Jianyun Bai, X. Lei","doi":"10.1145/3424978.3425058","DOIUrl":"https://doi.org/10.1145/3424978.3425058","url":null,"abstract":"At present, most coal-fired units use selective catalytic reduction of (SCR) and selective non-catalytic reduction of (SNCR) denitrification technology for NOx removal. Accurate prediction of NOx emission concentration of coal-fired units will not only help to further improve the regulation quality of denitrification control system, but also evaluate whether the data collected in the current site are true and accurate, and provide a basis for environmental protection departments to supervise and enforce the law of NOx emission from power plants. In this paper, based on the historical operation data of a 200MW circulating fluidized bed unit, by analyzing the factors affecting the NOx emission concentration, firstly, the correlation coefficient method is used to analyze the delay between each factor and the NOx emission concentration, then the BP neural network is used to model the two-stage intersection, the established NOx emission concentration prediction model is compared, and a more accurate NOx emission concentration prediction model is selected. Finally, the factors affecting NOx emission concentration are selected from a more accurate model. The results show that the root mean square error of the first kind of modeling is 0.023 less than that of the second kind of modeling, so the six input factors in the first kind of model are regarded as the best factors affecting the NOx emission concentration. The selected factors can be used to accurately predict the NOx emission concentration for a period of time in the future, which lays a foundation for more accurate control of SNCR denitrification control system.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":" 94","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120933601","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

Multi-thread Simulation-based Equivalence Checking between SIM and RTI 基于多线程仿真的SIM和RTI等价性检测

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425029

Jian Hu, Yongyang Hu, Guanwu Wang, Guilin Chen, Haitao Yang, Yun Kang, Kang Wang

引用次数: 0