Sangstan proposed that, in the process of information dissemination, people only focus on the information field that makes them feel comfortable due to the influence of the public's own information needs and interest guidance. As time passes, they will shackle themselves to the cocoon like "cocoon room", which Sangstan called "information cocoon room". As an emerging open social media, microblog provides users with the convenience of information sharing and dissemination, and also creates a personalized social space. Based on this, this paper conducts text mining on topics in microblog through text mining technology, aiming to study the propagation law of public opinion. For Task 1, this paper uses the crawler technology to access the microblog search end api interface, and the code uses the python request package, so that the access interface can be determined and the data can be crawled. After that, this paper uses the jieba library to carry out regular expression and Chinese word segmentation, and constructs a word cloud map for statistical analysis. Finally, it quantitatively describes the spread process of topics through the number of word frequencies, and analyzes its influencing factors. For Task 2, this paper considers this problem as a typical evaluation problem. Therefore, this paper constructs the AHP analytic hierarchy process model to solve it, and constructs the expert evaluation matrix to score and evaluate it, so as to get the influence of these factors.
{"title":"Research on the Effect of Information Transmission based on Text Mining","authors":"Yuting Sun","doi":"10.62051/t62ryw95","DOIUrl":"https://doi.org/10.62051/t62ryw95","url":null,"abstract":"Sangstan proposed that, in the process of information dissemination, people only focus on the information field that makes them feel comfortable due to the influence of the public's own information needs and interest guidance. As time passes, they will shackle themselves to the cocoon like \"cocoon room\", which Sangstan called \"information cocoon room\". As an emerging open social media, microblog provides users with the convenience of information sharing and dissemination, and also creates a personalized social space. Based on this, this paper conducts text mining on topics in microblog through text mining technology, aiming to study the propagation law of public opinion. For Task 1, this paper uses the crawler technology to access the microblog search end api interface, and the code uses the python request package, so that the access interface can be determined and the data can be crawled. After that, this paper uses the jieba library to carry out regular expression and Chinese word segmentation, and constructs a word cloud map for statistical analysis. Finally, it quantitatively describes the spread process of topics through the number of word frequencies, and analyzes its influencing factors. For Task 2, this paper considers this problem as a typical evaluation problem. Therefore, this paper constructs the AHP analytic hierarchy process model to solve it, and constructs the expert evaluation matrix to score and evaluate it, so as to get the influence of these factors.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"31 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167564","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 is supported by the 2022YFG0070 science and technology plan of Sichuan Province. Image feature extraction technology plays a very important role in the measurement and control process of industrial product processing, but for planar micro defects in the background, the current general single shot multibox detector (SSD) has some disadvantages, such as easy loss of feature information, low detection accuracy, and insufficient number of detection feature maps. In view of the above problems, combined with the characteristics and requirements of image feature extraction in the process of measurement and control processing, this paper proposes and designs BSSD algorithm. The algorithm uses ResNet34 to extract more micro defect information to solve the problem of feature extraction; Seven multi-scale feature maps were selected to increase the number of feature maps for detecting micro defects; A backtracking layer is set up to fuse the abstract information of the high-level network into the shallow network before the multi-scale feature map is input into the classification network to enhance the expression ability of the abstract features. The experimental data show that the accuracy is comparable to DSSD, and the speed is similar to FSSD, which shows a significant advantage in the accuracy of small target detection.
{"title":"A Method for Extracting Planar Image Features based on Convolution Neural Network","authors":"Shengjun Yang, Zhonglan Wu, Xiaohong Li, Yun Hong","doi":"10.62051/s439k645","DOIUrl":"https://doi.org/10.62051/s439k645","url":null,"abstract":"This paper is supported by the 2022YFG0070 science and technology plan of Sichuan Province. Image feature extraction technology plays a very important role in the measurement and control process of industrial product processing, but for planar micro defects in the background, the current general single shot multibox detector (SSD) has some disadvantages, such as easy loss of feature information, low detection accuracy, and insufficient number of detection feature maps. In view of the above problems, combined with the characteristics and requirements of image feature extraction in the process of measurement and control processing, this paper proposes and designs BSSD algorithm. The algorithm uses ResNet34 to extract more micro defect information to solve the problem of feature extraction; Seven multi-scale feature maps were selected to increase the number of feature maps for detecting micro defects; A backtracking layer is set up to fuse the abstract information of the high-level network into the shallow network before the multi-scale feature map is input into the classification network to enhance the expression ability of the abstract features. The experimental data show that the accuracy is comparable to DSSD, and the speed is similar to FSSD, which shows a significant advantage in the accuracy of small target detection.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"13 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167867","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 analyzes the current situation of the network security of the power monitoring system, and discusses the weak link in the network security protection of the power monitoring system from the perspective of technical exploration. From the perspective of application, the application of trusted computing technology and malicious code technology in the security protection system of power monitoring system is discussed, so as to further ensure the network security of power monitoring system.
{"title":"Research On the Current Situation and Technical Exploration of Network Security in Power Monitoring System","authors":"Lulu Wang, Zhijun Wang","doi":"10.62051/96h2c650","DOIUrl":"https://doi.org/10.62051/96h2c650","url":null,"abstract":"This paper analyzes the current situation of the network security of the power monitoring system, and discusses the weak link in the network security protection of the power monitoring system from the perspective of technical exploration. From the perspective of application, the application of trusted computing technology and malicious code technology in the security protection system of power monitoring system is discussed, so as to further ensure the network security of power monitoring system.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139319869","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}
With the continuous innovation and development of social science and technology, artificial intelligence technology has been the focus of attention and research in more and more industries. Public library, as an important place in the society to provide mass education for the masses, should fully seize the development opportunity with artificial intelligence technology as the core idea in the operation and development, carry out intelligent, automatic and digital reform and innovation of the library, and optimize the links of information retrieval, book borrowing, information service and access to the library. Through Internet technology, artificial intelligence technology and other advanced technologies, the whole science and technology content of public libraries and public service quality is improved so as to meet the specific needs of the public for the use of public education resources. Based on this, this paper first briefly describes the basic concepts of human intelligence technology and information retrieval technology, and then studies the specific application of artificial intelligence technology in public library information retrieval link and related service applications, hoping to provide some reference for professionals.
{"title":"The Application of Artificial Intelligence Technology in Public Library Information Retrieval","authors":"Jing Xie","doi":"10.62051/jwn0p470","DOIUrl":"https://doi.org/10.62051/jwn0p470","url":null,"abstract":"With the continuous innovation and development of social science and technology, artificial intelligence technology has been the focus of attention and research in more and more industries. Public library, as an important place in the society to provide mass education for the masses, should fully seize the development opportunity with artificial intelligence technology as the core idea in the operation and development, carry out intelligent, automatic and digital reform and innovation of the library, and optimize the links of information retrieval, book borrowing, information service and access to the library. Through Internet technology, artificial intelligence technology and other advanced technologies, the whole science and technology content of public libraries and public service quality is improved so as to meet the specific needs of the public for the use of public education resources. Based on this, this paper first briefly describes the basic concepts of human intelligence technology and information retrieval technology, and then studies the specific application of artificial intelligence technology in public library information retrieval link and related service applications, hoping to provide some reference for professionals.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320018","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}
When analyzing the advantages and disadvantages of common community discovery algorithms, the paper points out that the label propagation algorithm (LPA) has low time complexity, does not need to set the number of communities in advance, and the calculation process is simple. When dealing with large and complex networks, it has high the characteristics of efficiency. However, the algorithm does not consider the similarity of adjacent nodes in the network structure and content in the process of label propagation. Therefore, from the perspective of node similarity, the paper proposes a multi-feature fusion label propagation algorithm. The algorithm first uses the Sim Rank algorithm to calculate the structural similarity of the nodes in the network, and at the same time uses the main body model to obtain the topic distribution of the node content, and calculates the similarity of the topic distribution of different nodes, and finally merges the two similarities to be the label propagated by adjacent nodes, Give the corresponding weight to improve the communication strategy. Experimental comparison shows that this algorithm is better than the traditional label propagation algorithm.
{"title":"Application and Research of Multi-Feature Fusion Tag Propagation Computer Algorithm in Image Search and Matching","authors":"Jiale Li","doi":"10.62051/qbfrsc53","DOIUrl":"https://doi.org/10.62051/qbfrsc53","url":null,"abstract":"When analyzing the advantages and disadvantages of common community discovery algorithms, the paper points out that the label propagation algorithm (LPA) has low time complexity, does not need to set the number of communities in advance, and the calculation process is simple. When dealing with large and complex networks, it has high the characteristics of efficiency. However, the algorithm does not consider the similarity of adjacent nodes in the network structure and content in the process of label propagation. Therefore, from the perspective of node similarity, the paper proposes a multi-feature fusion label propagation algorithm. The algorithm first uses the Sim Rank algorithm to calculate the structural similarity of the nodes in the network, and at the same time uses the main body model to obtain the topic distribution of the node content, and calculates the similarity of the topic distribution of different nodes, and finally merges the two similarities to be the label propagated by adjacent nodes, Give the corresponding weight to improve the communication strategy. Experimental comparison shows that this algorithm is better than the traditional label propagation algorithm.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320125","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}
To reduce the waste of vegetables and guarantee revenues for supermarkets, this paper explores the construction of a comprehensive optimization model to help the supermarket select the specific suitable replenishment scheme and pricing strategy. This sets the bedrock for it to both gain the maximum revenue and timely supply various categories of vegetables that the market demands. The expectation for further relevant research to better complete the model is also mentioned. First, the attached data were preprocessed, and no missing values and outliers were detected. Consequently, the data of multiple forms was merged, and data related to categories of vegetables was counted. In response to Question 1, descriptive statistics were conducted on different individual items and categories of vegetables. Sales volumes of categories of vegetables were visualized through sales volume statistical graphs, profit line graphs, and quarterly sales change graphs. Following, the sales volumes were verified to have satisfied the conditions for calculating the Pearson Correlation Coefficient, and heat maps were drawn for correlation analysis. For individual items, hierarchical clustering was carried out with indicators, such as sales volume, unit price, number of purchases, and wastage rate. The basis of categorization of each category of vegetable was also explored. For Question 2, average pricing was used to replace cost-plus pricing first. Then, BP Neural Net Fitting was leveraged to analyze the relation between total sales volume and average pricing of different vegetable categories. The average wholesale price of the next seven days of each vegetable category was predicted with ARIMA Model, in order to gain the profit of different categories. Finally, a nonlinear objective planning model to achieve maximum benefit for the supermarket was constructed. Corresponding constraints were given to propose a reasonable total replenishment and pricing strategy for each vegetable category. In solving Question 3, constraints were added based on the nonlinear objective planning model in Question 2, and the prediction model was optimized. In the case of meeting market demand, the replenishment volume and pricing strategy for individual items on July 1, 2023, were proposed based on a combination of factors, as a way to maximize the benefits for the supermarket.
{"title":"Automatic Pricing and Replenishment Strategy for Vegetable Products Based on Time-Series Analysis and BP Neural Fitting","authors":"Chongwei Ren, Yue Yu, Jiadi Suo","doi":"10.62051/zc463576","DOIUrl":"https://doi.org/10.62051/zc463576","url":null,"abstract":"To reduce the waste of vegetables and guarantee revenues for supermarkets, this paper explores the construction of a comprehensive optimization model to help the supermarket select the specific suitable replenishment scheme and pricing strategy. This sets the bedrock for it to both gain the maximum revenue and timely supply various categories of vegetables that the market demands. The expectation for further relevant research to better complete the model is also mentioned. First, the attached data were preprocessed, and no missing values and outliers were detected. Consequently, the data of multiple forms was merged, and data related to categories of vegetables was counted. In response to Question 1, descriptive statistics were conducted on different individual items and categories of vegetables. Sales volumes of categories of vegetables were visualized through sales volume statistical graphs, profit line graphs, and quarterly sales change graphs. Following, the sales volumes were verified to have satisfied the conditions for calculating the Pearson Correlation Coefficient, and heat maps were drawn for correlation analysis. For individual items, hierarchical clustering was carried out with indicators, such as sales volume, unit price, number of purchases, and wastage rate. The basis of categorization of each category of vegetable was also explored. For Question 2, average pricing was used to replace cost-plus pricing first. Then, BP Neural Net Fitting was leveraged to analyze the relation between total sales volume and average pricing of different vegetable categories. The average wholesale price of the next seven days of each vegetable category was predicted with ARIMA Model, in order to gain the profit of different categories. Finally, a nonlinear objective planning model to achieve maximum benefit for the supermarket was constructed. Corresponding constraints were given to propose a reasonable total replenishment and pricing strategy for each vegetable category. In solving Question 3, constraints were added based on the nonlinear objective planning model in Question 2, and the prediction model was optimized. In the case of meeting market demand, the replenishment volume and pricing strategy for individual items on July 1, 2023, were proposed based on a combination of factors, as a way to maximize the benefits for the supermarket.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320294","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}
Servo system is the core functional components of high-end equipment, intelligent manufacturing equipment to achieve automatic control, the robot's performance is greatly affected by the servo system, so the key performance indicators of the precision servo system has always been the primary factor in evaluating the advanced nature of the robot. This paper describes the servo system in the robot, first describes the simple composition of the servo system in detail, and then describes the more intelligent and complex servo system in-depth.
{"title":"Research on the Servo System of the Robot","authors":"Zhekai Zheng","doi":"10.62051/f8nqsk39","DOIUrl":"https://doi.org/10.62051/f8nqsk39","url":null,"abstract":"Servo system is the core functional components of high-end equipment, intelligent manufacturing equipment to achieve automatic control, the robot's performance is greatly affected by the servo system, so the key performance indicators of the precision servo system has always been the primary factor in evaluating the advanced nature of the robot. This paper describes the servo system in the robot, first describes the simple composition of the servo system in detail, and then describes the more intelligent and complex servo system in-depth.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139319874","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}
2023 the 4th International Conference on Artificial Intelligence and Engineering Applications (AIEA 2023) was held in Guilin, China during September 23-24, 2023. AIEA 2023 is a platform for presenting excellent results and new challenges facing the field of the artificial intelligence and engineering applications, especially in the field of unmanned vehicles and aircraft, infrared identification, radar detection and so on. It brings together experts from industry, governments and academia, experienced in engineering, design and research. We appreciate that if you disseminate this flyer to your friends, colleagues, disciples and others who might interests to AIEA Conference Series. The conference received 76 manuscripts, by submitting a paper to AIEA, the authors agree to the review process and understand that papers undergo a peer-review process. Manuscripts will be reviewed by appropriately qualified experts in the field selected by the Conference Committee, who will give detailed comments and-if the submission gets accepted-the authors submit a revised version that takes into account this feedback. All papers are reviewed using a double-blind review process: authors declare their names and affiliations in the manuscript for the reviewers to see, but reviewers do not know each other's identities, nor do the authors receive information about who has reviewed their manuscript. The Committees of AIEA 2023 invest great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit. With our warmest regards, Kaisen Li, Truman Pan Conference Organizing Committees
{"title":"Preface: 4th International Conference on Artificial Intelligence and Engineering Applications (AIEA 2023)","authors":"Kaisen Li, Truman Pan","doi":"10.62051/z2nktv92","DOIUrl":"https://doi.org/10.62051/z2nktv92","url":null,"abstract":"2023 the 4th International Conference on Artificial Intelligence and Engineering Applications (AIEA 2023) was held in Guilin, China during September 23-24, 2023. AIEA 2023 is a platform for presenting excellent results and new challenges facing the field of the artificial intelligence and engineering applications, especially in the field of unmanned vehicles and aircraft, infrared identification, radar detection and so on. It brings together experts from industry, governments and academia, experienced in engineering, design and research. We appreciate that if you disseminate this flyer to your friends, colleagues, disciples and others who might interests to AIEA Conference Series. The conference received 76 manuscripts, by submitting a paper to AIEA, the authors agree to the review process and understand that papers undergo a peer-review process. Manuscripts will be reviewed by appropriately qualified experts in the field selected by the Conference Committee, who will give detailed comments and-if the submission gets accepted-the authors submit a revised version that takes into account this feedback. All papers are reviewed using a double-blind review process: authors declare their names and affiliations in the manuscript for the reviewers to see, but reviewers do not know each other's identities, nor do the authors receive information about who has reviewed their manuscript. The Committees of AIEA 2023 invest great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit. With our warmest regards, Kaisen Li, Truman Pan Conference Organizing Committees","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320202","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 article aims to simulate and design the thermal stress during the welding process of tantalum capacitors, which is prone to failure. In this paper, the subsection function is defined, the boundary conditions of thermal stress are set, and the mesh is divided through the temperature diagram of high temperature reflow welding process; Analyze the temperature changes in the welding machine based on time changes, and conduct simulation analysis of thermal stress and cross-sectional analysis of thermal stress. Through simulation results, improve the design structure to minimize the impact of welding process on capacitor failure.
{"title":"Numerical Simulation of Tantalum Capacitor Reflow Soldering in Temperature Field","authors":"Chunmei Wang, Yunxiang Lu, Mengdie Wu Surname","doi":"10.62051/zyzw5n25","DOIUrl":"https://doi.org/10.62051/zyzw5n25","url":null,"abstract":"This article aims to simulate and design the thermal stress during the welding process of tantalum capacitors, which is prone to failure. In this paper, the subsection function is defined, the boundary conditions of thermal stress are set, and the mesh is divided through the temperature diagram of high temperature reflow welding process; Analyze the temperature changes in the welding machine based on time changes, and conduct simulation analysis of thermal stress and cross-sectional analysis of thermal stress. Through simulation results, improve the design structure to minimize the impact of welding process on capacitor failure.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":"220 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320032","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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