2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)最新文献

{"title":"Research on Agricultural Machinery Control System Based on Adaptive Control","authors":"Jingyi Bi, Yinghui Liu","doi":"10.1109/ACEDPI58926.2023.00015","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00015","url":null,"abstract":"Nowadays, agricultural machinery is known as one of the key technologies that affect human production and life, and it is a subversive technology leading the third industrial revolution and global economic change. As a new intelligent technology, the research and development and application of automatic control technology have attracted extensive attention in the agricultural field. The principle of the automatic adaptive control system of agricultural machinery is to sense the information of the surrounding environment through the sensors installed on the agricultural machinery, and control the agricultural machinery to automatically track the target path through the decision of the adaptive controller based on the given target path in advance. In the process of continuous development and improvement of agricultural machinery technology, the requirements of agricultural machinery for automation technology are becoming more and more strict. In recent years, the scope and technical means of applying automation control technology in agricultural machinery are also constantly extending, among which the application of sensor technology has effectively promoted the development of agriculture. Unlike the non traction machinery with continuous operation mode, which has operation quality requirements and pursues the stability of speed, the agricultural machinery control system based on adaptive control is different. It needs to adjust the speed through the adjustment of hydraulic adaptive control device according to the change of external load. Because the adaptive control of agricultural machinery can effectively improve work efficiency and operation accuracy, intelligent agricultural machinery is widely used in facility agriculture. Aiming at the problems of poor robustness of adaptive controller and insufficient adaptive ability of path tracking algorithm in the previous research, aiming at the characteristics of variable load working condition of agricultural machinery control system, in order to improve the power utilization of agricultural machinery control system and reduce energy consumption, this paper studies the key parameter matching theory and power adaptive control method of the whole machine.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297481","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}

{"title":"The casual inference of road traffic accidents based on the Bayesian network optimization","authors":"Jiachong Zheng, Zehua Wei, Weijun Zheng","doi":"10.1109/ACEDPI58926.2023.00044","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00044","url":null,"abstract":"Taking traffic accident data of Northern California in recent ten years as the research data set, the Bayesian network structure of causal inference of traffic accidents is established based on expert knowledge and gradient descent algorithm. Twenty-five variables in the data set are selected as the parameters of the Bayesian network for learning. Combined with the Bayesian network structure, the probability distribution of traffic accident casualties under the influence of ethnic distribution, population number, traffic volume, roadrelated conditions, and other factors is inferred, and the causal relationship between 25 traffic factors and traffic accident casualties is analyzed. The results show that under the influence of ethnic distribution and population, the probability of death is 0.169 and injury is 0.164; Under the influence of traffic volume, the probability of death is 0.19 and injury is 0.162; Under the influence of road-related conditions, the probability of death is 0.165 and injury is 0.172. The Bayesian network model has high accuracy, and the error rate accuracy is only 8.889%. Related research can provide a theoretical basis for traffic measures intervention.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123306292","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}

{"title":"Research on Congestion Control Link Algorithm of Computer Network Based on SDN","authors":"F. Gu, Haifeng Lu, Haiwei Wu, Yetong Wang","doi":"10.1109/ACEDPI58926.2023.00023","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00023","url":null,"abstract":"The network plays an important role in social production and life, in which the congestion control mechanism is closely related to network availability and user experience. Congestion management is an important research direction in the field of high-performance network, and network congestion will have a great impact on the global performance of the network. The existing congestion management mostly adopts distributed congestion avoidance strategy, which can solve the network congestion problem to a certain extent, but its processing process is based on local information, which can’t make full use of network resources and has low processing efficiency. SDN (Software Defined Networking) brings programmability and flexibility to the network. Based on this characteristic of SDN, this paper proposes a new network congestion control algorithm. In this algorithm, considering the differences between TCP and UDP, a new method for judging congested nodes is designed, and congestion control strategy is started for congested nodes, so as to achieve the dual optimization goals of relieving congestion and ensuring high link utilization.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123365068","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}

{"title":"Research on Scheduling Model of Civil Aviation Transportation System Based on AGV Automatic Transportation","authors":"Yong Xiang, Lung-Chuang Wang","doi":"10.1109/ACEDPI58926.2023.00108","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00108","url":null,"abstract":"The situation of civil aviation transportation is complex. In order to ensure the transportation efficiency and smooth process, it is necessary to do the transportation transfer before and during the process. For this purpose, this paper will build a scheduling model of civil aviation transportation system based on AGV automatic transportation. The research mainly introduces the basic concept of AGV automatic transportation, then puts forward the construction method of the scheduling model of the civil aviation transportation system, and finally designs the system through the model. Through research, the AGV automatic transportation civil aviation transportation system developed under this model meets the expected requirements, can accurately complete the transportation route scheduling planning, and reasonably control civil aviation transportation.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129111766","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}

{"title":"Improved Particle Swarm Optimization Algorithm in Multi-Objective Optimization System of Engineering Management","authors":"Rui Qi, Yongjun Qi, Hailing Tang","doi":"10.1109/ACEDPI58926.2023.00083","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00083","url":null,"abstract":"Multi-objective optimization is an important part of project management, which plays a vital role in the process of project construction. Multi-objective optimization algorithm is a dynamic programming method. It can simplify complex problems and realize the description and quantitative analysis of the relationship between different objects and variables in the system through mathematical modeling. This paper mainly uses the method of analytic hierarchy process and algorithm comparison. Through the performance comparison of different aspects of the system, the relevant conclusions of multi-objective optimization are obtained. The experimental survey data shows that only 20.5% of the projects can be completed in time, and most of the projects cannot be completed in time, so it is necessary to study the multi-objective optimization of project management.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125372003","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}

{"title":"Research on Intelligent Flexible Health Management Platform","authors":"Wang Xin, G. Yan","doi":"10.1109/ACEDPI58926.2023.00038","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00038","url":null,"abstract":"In terms of detection data utilization rate of each system of a device in China is not high, and the lack of overall management and utilization of each system parameter system of the device, can not record the dynamic performance evaluation, fault positioning, maintenance information and other health management of the system. The article is for information technology (artificial intelligence and analysis, health management technology) as the link, the maximum range of diagnostic maintenance resources organic integration, form a resource sharing equipment health management platform, can realize the basic information management of equipment, equipment usage tracking monitoring, and support the equipment timely maintenance and intelligent rapid diagnosis.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128359683","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}

{"title":"Application of Particle Swarm Optimization Algorithm in Statistical Analysis of Financial Sharing System","authors":"Ran Liu","doi":"10.1109/ACEDPI58926.2023.00091","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00091","url":null,"abstract":"As the scale of larger enterprises continues to expand, the financial management work of various subsidiaries has also increased, which has brought certain benefits to the company, but there have also been some problems. These problems have had a great impact on the company’s development and development. The paper first designs the structure of the shared financial system, analyzes its business requirements, and puts forward corresponding functional requirements on this basis. In view of the needs of the system, the thesis focuses on the design and implementation of various subsystems such as financial management, quality management, and work subsystems. Through analysis, it is concluded that organizational structure reform is the main financial management framework, financial management control is the system guarantee, PSO-based financial cloud technology support is the implementation tool, and financial business process optimization is the principle, and performance appraisal is used as a way of reward and punishment, and a financial sharing system is gradually established.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115950631","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}

{"title":"Sports Video Image Analysis Application Based on BP Neural Network Algorithm","authors":"T. Xia, Feng Liu","doi":"10.1109/ACEDPI58926.2023.00082","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00082","url":null,"abstract":"Human motion analysis is one of the main directions in the field of computer vision in recent years. Especially in the emerging field of competitive sports analysis. The purpose of this paper is to study the application of sports video image analysis based on BP neural network algorithm. The node number of input layer, output layer and hidden layer of BP neural network classifier is selected to establish the neural network classifier model. Select parameters such as learning rate and convergence error. The fusion features of LBP histogram reflecting motion behavior and motion speed are taken as the input of BP neural network, and the type of motion behavior is taken as the output of the neural network. Through experimental research, it is concluded that the sports behavior recognition algorithm proposed in this paper can achieve good results.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128392574","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}

{"title":"Quasi Real-Time Distributed Search Engine Based on Massive Operation and Maintenance Data","authors":"Chunzhi Meng, Anni Huang, Jiacheng Fu, Miaoru Su, Junbing Pan, Dengbin Liao, Boling Chen, Xiaoying Mo","doi":"10.1109/ACEDPI58926.2023.00065","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00065","url":null,"abstract":"Search engine is one of the effective tools to find the required information in the information ocean. To a certain extent, search engine is the information portal of the Internet, so it is of special significance to research and implement search engines. At the same time, search engines have important commercial value and application prospects both at home and around the world, and can facilitate the processing of massive operation and maintenance data for enterprises. Therefore, this paper studies the quasi real-time distributed search engine based on massive operation and maintenance data. This paper first explains the design goals of distributed search engines and the concepts related to real-time indexing, then designs distributed search engines, and finally evaluates and analyzes distributed search engines. The research results show that the distributed search engine has good search performance and high search accuracy.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128014164","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}

{"title":"Multi-Objective Optimization of Sewage Treatment Based on BP Neural Network","authors":"Zhen Shao","doi":"10.1109/ACEDPI58926.2023.00048","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00048","url":null,"abstract":"With the over-exploitation of earth resources by human beings, the problem of environmental pollution is increasingly serious, and the pollution of surface water environment is an urgent problem to be solved at present. In this paper, six parameters of ammonia nitrogen (NH3-N) and total ammonia (TN) were selected as water quality evaluation indexes to establish the water quality grade evaluation system. With the water quality data of Jiulong Lake as training samples, a water quality identification model based on BP neural network was established. And by the golden section method to determine the optimal network structure, and by using MSE and R2 as indicators of accuracy test. The results show that the established water quality recognition based on BP neural network model has high precision, working for water quality assessment provides a good reference value.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133760340","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}