With the wide use of flexible transmission technology, IGBT chip technology is developing rapidly. The stakpak IGBT chip has the advantages of double-sided heat dissipation that the traditional welded IGBT does not have, but the unclear understanding of the multi physical field interaction with it has become the bottleneck of its wide application. In this paper, according to the Fourier expansion formula, the simulation model is built by SolidWorks, and the finite element analysis software ANSYS Workbench is used. The ANSYS Workbench sets the simulation conditions and obtains the double-sided heat flux of the stakpak IGBT sub module, and compares it with the data in the actual working condition to verify the accuracy of the simulation, so as to provide theoretical support for the improvement of the stability and safety of the stakpak IGBT device in operation.
{"title":"Thermodynamic Simulation Analysis of ABB Stakpak IGBT Sub Module Based on ANSYS Workbench","authors":"Zhongyuan Chen, Peng Wang, Jinyuan Li, Hao Li, Yunong Liu, Chunsheng Guo","doi":"10.1145/3424978.3425049","DOIUrl":"https://doi.org/10.1145/3424978.3425049","url":null,"abstract":"With the wide use of flexible transmission technology, IGBT chip technology is developing rapidly. The stakpak IGBT chip has the advantages of double-sided heat dissipation that the traditional welded IGBT does not have, but the unclear understanding of the multi physical field interaction with it has become the bottleneck of its wide application. In this paper, according to the Fourier expansion formula, the simulation model is built by SolidWorks, and the finite element analysis software ANSYS Workbench is used. The ANSYS Workbench sets the simulation conditions and obtains the double-sided heat flux of the stakpak IGBT sub module, and compares it with the data in the actual working condition to verify the accuracy of the simulation, so as to provide theoretical support for the improvement of the stability and safety of the stakpak IGBT device in operation.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"35 9 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":"123467931","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}
Virtual reality (VR) makes people and computers "integrate" well, breaks through the last barrier of human-computer interface. this paper proposes a multidimensional interactive simulation system (MDIS) for satellite communication research scheme and simulation method based on HLA. This method can provide the immersion, interaction, inspiration simulation operation and application experience based on the overall application of satellite communication.
{"title":"A Multidimensional Interactive Techniques for Satellite Communication Simulation Application","authors":"Zhijie Mao, Yingmei Chen, Lin Zhou","doi":"10.1145/3424978.3425124","DOIUrl":"https://doi.org/10.1145/3424978.3425124","url":null,"abstract":"Virtual reality (VR) makes people and computers \"integrate\" well, breaks through the last barrier of human-computer interface. this paper proposes a multidimensional interactive simulation system (MDIS) for satellite communication research scheme and simulation method based on HLA. This method can provide the immersion, interaction, inspiration simulation operation and application experience based on the overall application of satellite communication.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"1 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":"130089519","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}
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.
{"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}
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.
{"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}
In order to improve the accuracy and integrity of line segment detection, this paper presents an improved algorithm for line segment detection based on convolutional neural network. First, we use a full convolutional neural network to extract endpoints information from the image, the endpoint information includes the position of the endpoints and the direction of the line connected to the endpoints. Then, we use the stacked hourglass network to generate a line heat map of the image, the larger the value of each pixel in the line heat map, the more likely there is a line. Finally, in order to reduce false detection, a method of generating a straight line combining the endpoint information and the line heat map is proposed. Experimental results show that the algorithm effectively reduce line segment detection errors and improve integrity of line segment detection, and it can be applied to tasks such as 3D reconstruction and scene understanding.
{"title":"An Improvement of Line Segment Detection Algorithm Based on Convolutional Neural Network","authors":"Hongjian Han, Jiming Zheng","doi":"10.1145/3424978.3424994","DOIUrl":"https://doi.org/10.1145/3424978.3424994","url":null,"abstract":"In order to improve the accuracy and integrity of line segment detection, this paper presents an improved algorithm for line segment detection based on convolutional neural network. First, we use a full convolutional neural network to extract endpoints information from the image, the endpoint information includes the position of the endpoints and the direction of the line connected to the endpoints. Then, we use the stacked hourglass network to generate a line heat map of the image, the larger the value of each pixel in the line heat map, the more likely there is a line. Finally, in order to reduce false detection, a method of generating a straight line combining the endpoint information and the line heat map is proposed. Experimental results show that the algorithm effectively reduce line segment detection errors and improve integrity of line segment detection, and it can be applied to tasks such as 3D reconstruction and scene understanding.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"23 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":"127262549","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}
Multiple Birth Support Vector Machine (MBSVM) is widely used in various engineering fields due to its fast learning efficiency. However, MBSVM does not consider the prior structure information of samples when constructing each sub-classifier, which often has a strong impact on classification. For the disadvantage, we introduce the prior structure information of samples into MBSVM, and propose a novel MBSVM with structure information in this paper, which is called Structural MBSVM (S-MBSVM). The S-MBSVM inherits the advantage of fast learning speed of MBSVM, and fully utilizes the prior structure information of samples, thus improving the generalization performance. Experimental results show that the algorithm has better classification performance than the classical MBSVM.
{"title":"A Novel Structural Multiple Birth Support Vector Machine for Pattern Recognition","authors":"Qing Ai, Yude Kang, Wenyu Zhang, Ji Zhao","doi":"10.1145/3424978.3425083","DOIUrl":"https://doi.org/10.1145/3424978.3425083","url":null,"abstract":"Multiple Birth Support Vector Machine (MBSVM) is widely used in various engineering fields due to its fast learning efficiency. However, MBSVM does not consider the prior structure information of samples when constructing each sub-classifier, which often has a strong impact on classification. For the disadvantage, we introduce the prior structure information of samples into MBSVM, and propose a novel MBSVM with structure information in this paper, which is called Structural MBSVM (S-MBSVM). The S-MBSVM inherits the advantage of fast learning speed of MBSVM, and fully utilizes the prior structure information of samples, thus improving the generalization performance. Experimental results show that the algorithm has better classification performance than the classical MBSVM.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"100 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":"131487869","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}
This paper introduces some typical fuzzy analysis methods, and the main process, key links and characteristics of the construction project. Through the fuzzy analysis of practical engineering cases, it is revealed that the fuzzy analysis method is highly flexible, operable and practical. Then the paper expounds the applicability, necessity and advantages in architectural engineering. It reveals that fuzzy mathematical method has a good application prospect in many links and aspects of architectural engineering, and it is of great value to explore more applicable methods and normalize them.
{"title":"Research on the Application of Fuzzy Mathematics and Fuzzy Analysis in Building Engineering","authors":"Kuiyang Wang, Xiangqing Lu","doi":"10.1145/3424978.3425043","DOIUrl":"https://doi.org/10.1145/3424978.3425043","url":null,"abstract":"This paper introduces some typical fuzzy analysis methods, and the main process, key links and characteristics of the construction project. Through the fuzzy analysis of practical engineering cases, it is revealed that the fuzzy analysis method is highly flexible, operable and practical. Then the paper expounds the applicability, necessity and advantages in architectural engineering. It reveals that fuzzy mathematical method has a good application prospect in many links and aspects of architectural engineering, and it is of great value to explore more applicable methods and normalize them.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"25 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":"131506948","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}
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.
{"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}
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.
{"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}
Jian Hu, Yongyang Hu, Guanwu Wang, Guilin Chen, Haitao Yang, Yun Kang, Kang Wang
The always increasing complexity of digital system is overcome by System Level Modeling (SLM). The implementation starts from a SLM high-level description and, following a top-down refinement approach, it is refined towards a corresponding Register-transfer level (RTL) model. However, the refinement process is very complex and error prone. Therefore, it is crucial to guarantee the functional consistency between SLM and RTL. This paper presents a multi-thread simulation-based method to check the equivalence between SLM and RTL. The method utilizes multi-thread simulation to improve the efficiency of traditional simulation-based equivalence checking. The promising experimental results demonstrate the effectiveness and efficiency of the proposed method.
{"title":"Multi-thread Simulation-based Equivalence Checking between SIM and RTI","authors":"Jian Hu, Yongyang Hu, Guanwu Wang, Guilin Chen, Haitao Yang, Yun Kang, Kang Wang","doi":"10.1145/3424978.3425029","DOIUrl":"https://doi.org/10.1145/3424978.3425029","url":null,"abstract":"The always increasing complexity of digital system is overcome by System Level Modeling (SLM). The implementation starts from a SLM high-level description and, following a top-down refinement approach, it is refined towards a corresponding Register-transfer level (RTL) model. However, the refinement process is very complex and error prone. Therefore, it is crucial to guarantee the functional consistency between SLM and RTL. This paper presents a multi-thread simulation-based method to check the equivalence between SLM and RTL. The method utilizes multi-thread simulation to improve the efficiency of traditional simulation-based equivalence checking. The promising experimental results demonstrate the effectiveness and efficiency of the proposed method.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"63 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":"123465957","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：