Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934294
Jie Ju
A computer network is a network of self-organized wireless nodes or terminals that cooperate with each other, which is independent of fixed infrastructure and adopts distributed management. Since there are no fixed base stations and central nodes in the network, the wireless channel is highly time-varying, and the network topology is unstable. Therefore, the traditional network routing algorithm can meet the requirements of network service quality in the current era, and it is necessary to design a computer network with strong adaptability. This paper studies the computer network routing algorithm based on genetic algorithm, proposes a new computer network routing algorithm based on the genetic algorithm, and validates it by simulation experiments. The experimental results show that the optimized algorithm is better than the standard the algorithm has better latency, and the latency is roughly between 10-20s.
{"title":"Computer Network Routing Algorithm Based on Genetic Algorithm","authors":"Jie Ju","doi":"10.23919/WAC55640.2022.9934294","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934294","url":null,"abstract":"A computer network is a network of self-organized wireless nodes or terminals that cooperate with each other, which is independent of fixed infrastructure and adopts distributed management. Since there are no fixed base stations and central nodes in the network, the wireless channel is highly time-varying, and the network topology is unstable. Therefore, the traditional network routing algorithm can meet the requirements of network service quality in the current era, and it is necessary to design a computer network with strong adaptability. This paper studies the computer network routing algorithm based on genetic algorithm, proposes a new computer network routing algorithm based on the genetic algorithm, and validates it by simulation experiments. The experimental results show that the optimized algorithm is better than the standard the algorithm has better latency, and the latency is roughly between 10-20s.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121911841","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}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934402
Shodai Ito, Noboru Takagi, H. Masuta, T. Motoyoshi, K. Sawai
A questionnaire survey on clothing for the visually impaired people revealed that many women in particular have a strong desire to enjoy fashion on their own. Visually impaired can not purchase clothing without the assistance of the sighted. Based on this background, there are several studies on clothing selection support for the visually impaired, and some of them have been commercialized. However, there are only a few studies that support the visually impaired people’s clothing selection by recognizing clothing impression (casual, formal, etc.). Therefore, we design a feature extraction model by deep learning using DeepFashion, a clothing dataset, and investigate a method to extract impression words from clothing images.
{"title":"An Examination for Impression Word Extraction of Clothing","authors":"Shodai Ito, Noboru Takagi, H. Masuta, T. Motoyoshi, K. Sawai","doi":"10.23919/WAC55640.2022.9934402","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934402","url":null,"abstract":"A questionnaire survey on clothing for the visually impaired people revealed that many women in particular have a strong desire to enjoy fashion on their own. Visually impaired can not purchase clothing without the assistance of the sighted. Based on this background, there are several studies on clothing selection support for the visually impaired, and some of them have been commercialized. However, there are only a few studies that support the visually impaired people’s clothing selection by recognizing clothing impression (casual, formal, etc.). Therefore, we design a feature extraction model by deep learning using DeepFashion, a clothing dataset, and investigate a method to extract impression words from clothing images.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121931765","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}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934418
Zilong Xu, Yong Zhu
Data is the foundation and source of wisdom for people to understand the real world through the world of information. Massive data is the foundation of computer networks, and people's lives are closely related to it. But with the increasing amount of data, people are also about to face the danger of data collapse and disorder. Therefore, it is very necessary to optimize the BDM system. This article is based on artificial intelligence technology to improve the big DM system. First, the characteristics of big data(BD) and the concept of DM are explained; then, on the basis of traditional DM technology, artificial intelligence technology is studied to improve and optimize the BDM system. Finally, the performance of the improved BDM system is tested and compared with the traditional technology. The test results show that the improved BDM system improves the efficiency of data classification.
{"title":"Construction of Big Data Ming System Based on Artificial Intelligence","authors":"Zilong Xu, Yong Zhu","doi":"10.23919/WAC55640.2022.9934418","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934418","url":null,"abstract":"Data is the foundation and source of wisdom for people to understand the real world through the world of information. Massive data is the foundation of computer networks, and people's lives are closely related to it. But with the increasing amount of data, people are also about to face the danger of data collapse and disorder. Therefore, it is very necessary to optimize the BDM system. This article is based on artificial intelligence technology to improve the big DM system. First, the characteristics of big data(BD) and the concept of DM are explained; then, on the basis of traditional DM technology, artificial intelligence technology is studied to improve and optimize the BDM system. Finally, the performance of the improved BDM system is tested and compared with the traditional technology. The test results show that the improved BDM system improves the efficiency of data classification.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121172579","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}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934253
Qingze Yang, Jing Jiang
Development of network circle groups is not merely confined to technical sphere. Instead, its development has changed the structure of the entire social formation and individual existence and development mode, which is manifesting, day by day, a kind of cultural attribute. The social interaction "self-organization" manifested by network circle group has been digitalized; the topics of the content have been diversified and peripherized; and the social mobilization has been strengthened. Especially, more focus should be put on such significant themes as leading mechanism of the public opinions of emergencies. Several parties should get involved in forming a community of public opinion governance for network circle groups to enhance the efficacy of public opinion governance for network circle groups.
{"title":"An Analysis of Influential Factors of Information Dissemination among Network Circle Groups and a Study on Countermeasures","authors":"Qingze Yang, Jing Jiang","doi":"10.23919/WAC55640.2022.9934253","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934253","url":null,"abstract":"Development of network circle groups is not merely confined to technical sphere. Instead, its development has changed the structure of the entire social formation and individual existence and development mode, which is manifesting, day by day, a kind of cultural attribute. The social interaction \"self-organization\" manifested by network circle group has been digitalized; the topics of the content have been diversified and peripherized; and the social mobilization has been strengthened. Especially, more focus should be put on such significant themes as leading mechanism of the public opinions of emergencies. Several parties should get involved in forming a community of public opinion governance for network circle groups to enhance the efficacy of public opinion governance for network circle groups.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122284187","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}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934497
Yu Shuxiang, Bao Aijun
Now we have entered an information age. Mobile Internet has brought infinite convenience to people’s life. With the development of mobile products becoming the necessity of the development of the times, the requirements for mobile interface visual design are becoming higher and higher. This paper expounds the background of mobile interface design, mobile platform, basic concepts and design ideas of mobile interface design, and analyzes the relationship between the three. Combined with specific mobile interface design cases, this paper uses the idea of human-computer interaction and Gestalt theory to optimize mobile interface design, and focuses on the visual application of design elements in mobile interface design, so as to improve the user experience of mobile products and further meet the needs of users.
{"title":"Analysis and application of interface design elements for mobile platform","authors":"Yu Shuxiang, Bao Aijun","doi":"10.23919/WAC55640.2022.9934497","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934497","url":null,"abstract":"Now we have entered an information age. Mobile Internet has brought infinite convenience to people’s life. With the development of mobile products becoming the necessity of the development of the times, the requirements for mobile interface visual design are becoming higher and higher. This paper expounds the background of mobile interface design, mobile platform, basic concepts and design ideas of mobile interface design, and analyzes the relationship between the three. Combined with specific mobile interface design cases, this paper uses the idea of human-computer interaction and Gestalt theory to optimize mobile interface design, and focuses on the visual application of design elements in mobile interface design, so as to improve the user experience of mobile products and further meet the needs of users.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"32 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120853706","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 development of modern information technology, my country has gradually entered the era of big data. The salient features of the big data era are rich data resources, convenient data processing and information exchange, and smoother learning and communication between people. The impact of big data on education is also very significant. This paper studies the online education big data platform based on data mining and data collection technology, uses data mining technology and data collection technology to design the online education big data platform, and tests the designed platform. The test results show that this paper improves the algorithm the accuracy of clustering analysis is good, and the number of errors is controlled within 5, and then the query time of the platform is tested. The time for the platform from data query to acceptance is within 30 minutes, which meets the requirements of platform design.
{"title":"Design of Online Education Big Data Platform Based on Data Mining and Data Collection Technology","authors":"Xueyun Zhou, Yongjun Qi, Hailing Tang, Shukun Zhang","doi":"10.23919/WAC55640.2022.9934187","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934187","url":null,"abstract":"With the continuous development of modern information technology, my country has gradually entered the era of big data. The salient features of the big data era are rich data resources, convenient data processing and information exchange, and smoother learning and communication between people. The impact of big data on education is also very significant. This paper studies the online education big data platform based on data mining and data collection technology, uses data mining technology and data collection technology to design the online education big data platform, and tests the designed platform. The test results show that this paper improves the algorithm the accuracy of clustering analysis is good, and the number of errors is controlled within 5, and then the query time of the platform is tested. The time for the platform from data query to acceptance is within 30 minutes, which meets the requirements of platform design.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134437059","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 recent years, with the improvement of living standards, people's demand for electricity has gradually increased. With the rapid development of substation informatization and digitalization, intelligent analysis technology can conduct real-time status assessment of substation equipment and improve the efficiency of fault handling in smart substations. The purpose of this paper is to study the research and application of intelligent analysis technology in the design of substation condition monitoring system. This paper analyzes the requirements of the substation condition monitoring system based on intelligent analysis technology, and describes the application architecture of the system and the total volume architecture of the software in detail. This article tests the designed system, and the experimental results show that the system CPU utilization rate is maintained at 50%~60%, and the memory utilization rate is maintained at about 61%~64%. It can be seen that the various components of the system can coordinate and operate stably, and the resource utilization rate fluctuates little, indicating the feasibility of the system architecture.
{"title":"Application of Intelligent Analysis Technology in the Design of Substation Condition Monitoring System","authors":"Ninghui He, Pei Ding, Weiyan Sha, Xiuguang Li, Wen Li, Penggang Li","doi":"10.23919/WAC55640.2022.9934236","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934236","url":null,"abstract":"In recent years, with the improvement of living standards, people's demand for electricity has gradually increased. With the rapid development of substation informatization and digitalization, intelligent analysis technology can conduct real-time status assessment of substation equipment and improve the efficiency of fault handling in smart substations. The purpose of this paper is to study the research and application of intelligent analysis technology in the design of substation condition monitoring system. This paper analyzes the requirements of the substation condition monitoring system based on intelligent analysis technology, and describes the application architecture of the system and the total volume architecture of the software in detail. This article tests the designed system, and the experimental results show that the system CPU utilization rate is maintained at 50%~60%, and the memory utilization rate is maintained at about 61%~64%. It can be seen that the various components of the system can coordinate and operate stably, and the resource utilization rate fluctuates little, indicating the feasibility of the system architecture.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134578786","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}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934127
X. Yuan
With the exponential growth of various network resources, the use of search engine has become one of the most basic skills of everyone in today's society, and an efficient information retrieval model is also of more significance. The traditional text-based music information retrieval method can retrieve music data by inputting text information such as song name, composer, singer and album name. The content-based music information retrieval queries the target music through the input music melody information. In the actual music information retrieval scene, there is interaction between the user and the retrieval model. The user gives feedback on the retrieval results, and the retrieval model returns a new page of document according to this feedback. The existing ranking learning model regards ranking as a one-time process, ignores user feedback, and the ranking effect needs to be improved. With the increasing demand for digital music information and the continuous expansion of application fields based on massive music data sets, content-based music information retrieval method is attracting more and more researchers' attention.
{"title":"Research on music information retrieval algorithm based on deep learning","authors":"X. Yuan","doi":"10.23919/WAC55640.2022.9934127","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934127","url":null,"abstract":"With the exponential growth of various network resources, the use of search engine has become one of the most basic skills of everyone in today's society, and an efficient information retrieval model is also of more significance. The traditional text-based music information retrieval method can retrieve music data by inputting text information such as song name, composer, singer and album name. The content-based music information retrieval queries the target music through the input music melody information. In the actual music information retrieval scene, there is interaction between the user and the retrieval model. The user gives feedback on the retrieval results, and the retrieval model returns a new page of document according to this feedback. The existing ranking learning model regards ranking as a one-time process, ignores user feedback, and the ranking effect needs to be improved. With the increasing demand for digital music information and the continuous expansion of application fields based on massive music data sets, content-based music information retrieval method is attracting more and more researchers' attention.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133092829","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}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934126
Chao Li, Yong Li
The research on big data intelligent accounting algorithm is the research on the algorithm of processing a large amount of data. It is observed that the amount of data being generated is growing exponentially and will continue to grow exponentially in the coming years. The main goal of this research work is to develop a computer program that can process such a huge amount of information without any human intervention or supervision. This will help reduce costs and improve efficiency by eliminating human and errors in the system. The main advantage of using big data intelligent accounting algorithm is that it helps reduce costs by automating tasks Taking big data as the background and from the perspective of big accounting, this paper believes that accounting is an artificial system, and the essence of accounting is to take the form of behavioral value of economic activities as the main object. Due to the influence of social environment changes, accounting is facing practical, theoretical and technical challenges.
{"title":"Research and analysis of intelligent accounting algorithm under the background of big data","authors":"Chao Li, Yong Li","doi":"10.23919/WAC55640.2022.9934126","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934126","url":null,"abstract":"The research on big data intelligent accounting algorithm is the research on the algorithm of processing a large amount of data. It is observed that the amount of data being generated is growing exponentially and will continue to grow exponentially in the coming years. The main goal of this research work is to develop a computer program that can process such a huge amount of information without any human intervention or supervision. This will help reduce costs and improve efficiency by eliminating human and errors in the system. The main advantage of using big data intelligent accounting algorithm is that it helps reduce costs by automating tasks Taking big data as the background and from the perspective of big accounting, this paper believes that accounting is an artificial system, and the essence of accounting is to take the form of behavioral value of economic activities as the main object. Due to the influence of social environment changes, accounting is facing practical, theoretical and technical challenges.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133923483","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}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934743
Yipei Cao
This article takes the application of big data technology development in the information age as an entry point, analyzes the influence of industrial structure configuration on Chengdu's economic development, rationally adjusts Chengdu's industrial configuration, comprehensively improving the speed of Chengdu's economic development. Taking Chengdu, the capital city of Sichuan Province as an example, using relevant data from 1997 to 2018, VAR model, Granger causality test, etc. are used to conduct empirical research on the inner relationship between Chengdu's primary, secondary, and tertiary industries and economic growth.
{"title":"Analysis of Industrial Structure Evolution and Economic Growth Based on VAR Model under Big Data Technology","authors":"Yipei Cao","doi":"10.23919/WAC55640.2022.9934743","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934743","url":null,"abstract":"This article takes the application of big data technology development in the information age as an entry point, analyzes the influence of industrial structure configuration on Chengdu's economic development, rationally adjusts Chengdu's industrial configuration, comprehensively improving the speed of Chengdu's economic development. Taking Chengdu, the capital city of Sichuan Province as an example, using relevant data from 1997 to 2018, VAR model, Granger causality test, etc. are used to conduct empirical research on the inner relationship between Chengdu's primary, secondary, and tertiary industries and economic growth.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128993556","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}