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

{"title":"Mining and Analysis of Big Data Statistical Characteristics and Timing Rules for Webcasting","authors":"Weijia Zeng, Fang Qin, Xiaoxia Tao, Yu Zhao, Nan Bai, D. He","doi":"10.1109/ACEDPI58926.2023.00087","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00087","url":null,"abstract":"In recent years, the rapid development of network information technology has made online live broadcast a new hot spot. In webcasting, the anchor and the audience can interact a lot. Through the study of the interaction behavior of the anchor and the audience, it can not only deepen the understanding of the content and production process of the webcasting, but also promote the healthy development of the live broadcast industry. This paper analyzes the load time series and user behavior of the webcast platform. The results show that the live broadcast load has obvious intraday and weekly effects, and the anchors in each live broadcast system have significant inter-group differences in statistical characteristics such as the number of viewers and fans. The survival time of the anchors and the number of viewers in the live broadcast room are distributed as a power function. According to statistics, the number of anchors and viewers also shows a linear relationship. Therefore, it is particularly important to use the timing rule mining algorithm to analyze the statistical characteristics of webcasting.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"357 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":"114658778","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":"Analysis and Prediction of Regional Influencing Factors based on GRA-RBF Algorithm","authors":"Yi Li, Qi-xiang Zhang, Tianru Zhu","doi":"10.1109/ACEDPI58926.2023.00039","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00039","url":null,"abstract":"On the analysis and prediction of regional influencing factors. In this paper, under the three aspects of internal factors, international factors and investment, Beijing’s data in the past 10 years are used for study. In view of the ambiguity and incompleteness of the data information, the gray comprehensive correlation analysis (GRA) is used to identify the influencing factors, and the radial basis is further used. The radial basis function (RBF) neural network explores the potential relationship between different factors to achieve the purpose of predicting import and export trade. The results show that: (1) based on the contribution analysis algorithm, it can be found that the influencing factors affecting Beijing area, (2) 70% are used as learning samples for ANN training, 15% as validation set, and the remaining 15% as test set. Finally, it is predicted that the trade volume of Beijing will increase in the coming years.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"87 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":"123489171","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":"Design of Artificial Intelligence Detection Algorithm for Image Feature Forensics Based on BPNN","authors":"Bihua Zhuo","doi":"10.1109/ACEDPI58926.2023.00007","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00007","url":null,"abstract":"As an important carrier for people to obtain and transmit information, digital images not only bring convenience to people’s lives, but also bring some security risks to society. With the development and popularization of image editing software, the cost of image content modification and image forgery becomes lower and lower, and users can easily use image editing tools to modify image content without leaving obvious visual traces. For face recognition, based on BP algorithm and RRA theory, this paper adopts BP-RRA as face recognition classifier, and combines normalized pseudozernike moments to propose a face recognition method based on normalized pseudo-zernike moments and BP-RRA neural network algorithm. Fine-grained image recognition is the division of finer sub-categories compared to general image recognition that only realizes the recognition of categories with obvious category discrimination. Image recognition technology has been widely used in various fields. The image recognition algorithm based on artificial intelligence is simpler and faster than the former; It can learn more advanced image features, so as to improve the accuracy of image recognition, so it is widely used.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"5 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":"125194641","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":"Implementation of Railway Accident Judgment Criteria Optimization Based on Data Mining and Digital Programming Technology","authors":"Shulin Liu, Zhenyu Quan, Zihan Jin","doi":"10.1109/ACEDPI58926.2023.00043","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00043","url":null,"abstract":"The project team investigated the current situation of research at home and abroad, and made preliminary preparations for relevant theories and technologies, and then took the EU railway accident data as the main line to complete the whole process of research and analysis of data collection, data cleaning, data processing, data modeling, data analysis and data visualization. The eu railway accident alone and annual report for the translation and sorting, the use of digital programming technology to solve the railway accident in the process of too refinement, extracted data is not enough for data analysis or difficult to rationalize the data analysis, the original literal data streamlined classification and the cause of the accident according to the categories group small class coding. Tosuch as Python language and MATLAB were introduced to conduct accident cause chain analysis to improve the effectiveness of data analysis. On this basis, the railway accident grade is quantified based on the entropy weight method to realize the optimization of the railway accident evaluation standard in the quantitative analysis. The project team put forward the establishment of a data banking structure for the innovation of railway accident data asset management, and put forward relevant suggestions on the subsequent railway accident prediction and early warning mechanism. The research results of the project have high application value to academic research, the government, railway enterprises, railway staff and other relevant parties.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"54 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":"126542931","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":"Simulation of Visual Image Enhancement Algorithm of Desertification Landscape Considering Visual Spatial Perception","authors":"Xiaoyu Shi, Qi Liu","doi":"10.1109/ACEDPI58926.2023.00034","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00034","url":null,"abstract":"In general, there are two main applications of image processing and analysis, one is for humans to directly extract features of interest from images. In the face of fierce market competition, the first method is obviously not suitable for the current market environment. Therefore, the cost-effectiveness of products can only be improved through image enhancement technology to meet the higher requirements of consumers. The subjective evaluation method is that multiple observers give quality scores to the enhanced images according to some pre-specified evaluation scales or their own experience, and then perform a weighted average of the scores given by all observers. Part of the noise is filtered out by grayscale correction, and a comprehensive saliency map is generated to roughly locate the crack area according to the preprocessing method of anisotropic diffusion filtering, so as to realize the precise location of cracks, and complete the design of the automatic detection and identification algorithm for pavement cracks. And detection done on the bottom layer of the image through feature fusion between high-level data. Since image information is obtained from human vision, if the visual characteristics are fully considered in image processing, the effect of image enhancement will be improved. According to the structure-function principle of ecology, the effectiveness of material flow and energy flow in the landscape mainly depends on the spatial combination of patches, matrix and corridors that make up the landscape, that is, the regional landscape pattern. People have started to study how to analyze images by computer, using the combination of image processing, pattern recognition and artificial intelligence technology. In conclusion, the final result of image enhancement should be in line with the visual perception preferences. This paper is from the perspective of perception, in order to obtain the optimal result of image enhancement. In this paper, the simulation results show that the proposed method can effectively locate the desertification landscape visual image enhancement algorithm, and has a high real-time recall rate, high detection accuracy and easy computation.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"19 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":"123772364","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":"COD Prediction Model for Wastewater Treatment Based on Particle Swarm Algorithm","authors":"Baoying Zhu","doi":"10.1109/ACEDPI58926.2023.00093","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00093","url":null,"abstract":"To cope with the current water pollution prevention and control, if a stable, fast and real-time COD measurement method is developed using spectral technology, it will facilitate the pace of wastewater treatment in China and have a significant impact on water pollution control. The objective of this paper is to study the analysis and application of COD prediction models for wastewater treatment based on particle swarm algorithms. The background and significance of wastewater treatment research is briefly introduced, while the current status of research on wastewater treatment technology at home and abroad is reviewed. The common modelling methods for molecular absorption spectroscopy and water quality COD prediction are summarised, and a COD prediction model based on the improved particle swarm algorithm is established and compared with the main SVM algorithm. The experimental results show that the LSSVM-APSO model in this paper has good prediction effect.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"29 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":"122487362","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 Caculation of the Optimal Electron Transport in MFC Based on Response Surface Method","authors":"W. Tong, Shaojun Zhang","doi":"10.1109/ACEDPI58926.2023.00100","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00100","url":null,"abstract":"Microbial fuel cell technology has a very broad development prospect in the field of marine emergency power supply, focusing on the impact of environmental factors of electron transfer of microbial fuel cell on the output voltage. Based on the BBD response surface method, the individual and interaction of environmental factors of electron transfer such as anode area, inoculation amount, GO/PANI content were investigated, and the mathematical model of output voltage was established. The results showed that the order of significance of the influencing factors was anode area > GO/PANI content > inoculation amount. In addition, there was a certain interaction among the three influencing factors, but the interaction was not significant, and the regression of the mathematical model was good. When the anode area is 4.55 cm2, the inoculation amount is 3.13% and the GO/PANI content is 0.21 mg/mL, the predicted output voltage of the microbial fuel cell reaches 822.695 mV. Four parallel experiments were used for verification. The average output voltage of the microbial fuel cell is 821.725 mV, the relative standard deviation is as low as 0.12%, indicating that the model is more accurate and reliable in optimizing the environmental conditions of MFC electron transmission and predicting the output voltage.","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":"114931317","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":"A Method of Yoga Action Pattern Recognition Based on Computer Vision Technology","authors":"Ling Ma, Chao Huang","doi":"10.1109/ACEDPI58926.2023.00035","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00035","url":null,"abstract":"Object detection and recognition using computer vision has been a very interesting and challenging research field in the past three decades. Classification and target location based on machine learning and computer vision technology has always been a hot topic, and great achievements have been made. Firstly, the classification analysis method is used to analyze and study the yoga movement and theory based on computer vision technology, including human eye tracking and recognition, face recognition, head movement tracking and recognition, gesture recognition and posture recognition. Based on the task of yoga movement pattern recognition, a yoga movement pattern recognition method based on computer vision technology is proposed. The improved model is based on the framework and structure of the network. A certain number of candidate regions are proposed and classified through feature extraction, and then these regions are output as the detected bounding box. The posture action diagram of yoga, that is, ordinary RGB color image, is collected by RGB camera, and the bone data is extracted from RGB image by bone extraction model. The RGB image data and bone data are input into the joint model, and the joint model will output the category of Yoga action and the score of this action.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"1 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":"130998040","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":"Simulation Model System Study of HH-Model for Excitable Systems","authors":"Yixiang Nie","doi":"10.1109/ACEDPI58926.2023.00062","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00062","url":null,"abstract":"The simulation model of neuronal stimulation is based on excitable systems. Applying the Hodgkin-Huxley neuronal model, this paper presents a numerical simulation of the potential movements on both sides of the cell membrane and applies a numerical approach to the study of the complex behavior of the simulated nervous system. In this study, functional relationships and simulated images after stimulation were derived by numerical simulation methods, and preliminary simulation experiments were conducted to obtain the total number of sodium ions passing through the cell membrane per unit area during an action potential.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"163 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":"131041653","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 Software Engineering Technology in System Software Development","authors":"Chenxiao Zhao, Yu Wang, Jingjing Jiang","doi":"10.1109/ACEDPI58926.2023.00101","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00101","url":null,"abstract":"For system software development, software engineering technology is not only the key advantage of system software development, but also the inevitable demand for the professional development of system software development in the new era. It can effectively solve various problems in the process of software development and further improve the quality and efficiency of system software. Therefore, it is very valuable to study and analyze the application and effect of software engineering technology in the process of system software development. Based on this, this paper studies the application strategy of software engineering technology in the system software development process for reference.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"196 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":"121069503","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}