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}
Medical knowledge is complex. The knowledge graph provides an efficient solution for integrating medical knowledge and analyzing medical data. In this paper, the neurosurgery knowledge graph is constructed. First, the ontology pattern library is constructed, and then named entity recognition is performed based on the Bi-LSTM-CRF model. The entities are extracted from the text and the entity relationships are defined. The knowledge graph of the symptom-disease-department is integrated, and finally stored in Neo4j Graph database. As the basis of information retrieval, intelligent question answering, diagnosis and treatment system, knowledge graph can effectively transfer medical knowledge and provide intelligent medical assistance for doctors and patients.
{"title":"Construction of Neurosurgery Knowledge Graph Based on Bi-LSTM-CRF Model","authors":"Yu Shi, Qiuli Qin","doi":"10.1145/3424978.3425095","DOIUrl":"https://doi.org/10.1145/3424978.3425095","url":null,"abstract":"Medical knowledge is complex. The knowledge graph provides an efficient solution for integrating medical knowledge and analyzing medical data. In this paper, the neurosurgery knowledge graph is constructed. First, the ontology pattern library is constructed, and then named entity recognition is performed based on the Bi-LSTM-CRF model. The entities are extracted from the text and the entity relationships are defined. The knowledge graph of the symptom-disease-department is integrated, and finally stored in Neo4j Graph database. As the basis of information retrieval, intelligent question answering, diagnosis and treatment system, knowledge graph can effectively transfer medical knowledge and provide intelligent medical assistance for doctors and patients.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"131 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":"114546176","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 field of scientific computing visualization, visual reality, computer animation and so on, shape metamorphosis is a very important research direction. This paper proposes a new nonlinear method of shape metamorphosis based on the bivariate vector valued rational interpolation. With the method, we can realize metamorphosis among series of polygons. First, construct a Newton-Thiele's vector valued interpolation surface for the coordinates of multiple polygons, then interpolation surface is resampled by this function, and finally get the metamorphosis polygons. The experimental results show that this method has better precision of calculation, easiness of programming as well.
{"title":"Algorithm of Shape Morphing Based on Bivariate Non-linear Interpolation","authors":"Baoguo Chen, Jinlin Chen","doi":"10.1145/3424978.3424991","DOIUrl":"https://doi.org/10.1145/3424978.3424991","url":null,"abstract":"In the field of scientific computing visualization, visual reality, computer animation and so on, shape metamorphosis is a very important research direction. This paper proposes a new nonlinear method of shape metamorphosis based on the bivariate vector valued rational interpolation. With the method, we can realize metamorphosis among series of polygons. First, construct a Newton-Thiele's vector valued interpolation surface for the coordinates of multiple polygons, then interpolation surface is resampled by this function, and finally get the metamorphosis polygons. The experimental results show that this method has better precision of calculation, easiness of programming as well.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"34 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":"123594078","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}
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