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2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)最新文献

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Optimization System of Heat Dissipation in Seabed Data Center based on Heat Conduction Equation-Programming Algorithm 基于热传导方程-规划算法的海底数据中心散热优化系统
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00051
Shilong Teng
{"title":"Optimization System of Heat Dissipation in Seabed Data Center based on Heat Conduction Equation-Programming Algorithm","authors":"Shilong Teng","doi":"10.1109/ISAIEE57420.2022.00051","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00051","url":null,"abstract":"With the development of big data center, it occupies a lot of land resources, consumes a lot of power and cooling water resources, and other problems are becoming increasingly prominent. In order to solve the above problems, the partial differential equation of heat conduction is derived according to the laws of thermodynamics and energy conservation, and the initial conditions and boundary conditions are established. On this basis, a heat dissipation optimization system of the seabed data center based on the heat conduction equation planning algorithm is established. Taking the server temperature not exceeding the normal working temperature of the server and the volume of the server assembly less than the volume of the container as the constraint conditions, the planning model is established with the maximum number of servers as the target function, and the optimal parameters of the data center shape are obtained, Make it store more servers in a limited volume and ensure the working process of the server, so as to save land resources, save energy consumption and achieve sustainable development.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133262492","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}
引用次数: 0
Analysis and Discussion on Influencing Factors of BIM-based 3D Collaborative Design Mode 基于bim的三维协同设计模式影响因素分析与探讨
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00103
Zhaoyou Wang, Zhongjun Wen, Zhanhao Zhang, Zhenbin Hou
{"title":"Analysis and Discussion on Influencing Factors of BIM-based 3D Collaborative Design Mode","authors":"Zhaoyou Wang, Zhongjun Wen, Zhanhao Zhang, Zhenbin Hou","doi":"10.1109/ISAIEE57420.2022.00103","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00103","url":null,"abstract":"With the development of Digital China, the survey and design industry actively explores and practices new design modes to meet the needs of digital management of intelligent building design services. Based on the practice of different design modes for different facilities in an aviation hub project in China and the current situation of building design modes at home and abroad, this paper analyzes and finds the influencing factors of BIM-based 3D collaborative design mode, puts forward relevant suggestions on the possibility of future development of 3D collaborative design mode based on the current and objective situation of BIM-based 3D design mode through discussion, and provides reference for the industry construction management team to select the appropriate BIM-based 3D design mode and the focus of Party B responsible for procurement of engineering design services.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115800258","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}
引用次数: 0
Classification Emotion Using Densenet 使用Densenet进行情绪分类
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00043
Juan Liang
{"title":"Classification Emotion Using Densenet","authors":"Juan Liang","doi":"10.1109/ISAIEE57420.2022.00043","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00043","url":null,"abstract":"Facial expressions are a way of expressing human emotions. Using standard convolutional neural networks (CNN) to extract and classify facial expressions has not achieved satisfactory accuracy in the past, making the classification of facial emotions a challenge, due to lack of large dataset and advanced CNN models. In this paper, a transfer learning approach is used to improve emotion recognition accuracy. Firstly, a Densenet model pre-trained in the ImageNet dataset is chosen. Next, fine-tuning is performed on the network model, which aims to extract features from images to recognize and classify seven emotional expressions. It features fewer parameters and is resistant to overfitting compared to other models. The model is trained using the facial expression dataset, which make up of 28,709 48*48 pixel images. Experimental results show that the model is better in accuracy compared to the performance of vgg19.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126007634","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}
引用次数: 1
Research on Tibetan Pronunciation Error Correction System Based on .NET Framework 基于。net框架的藏语语音纠错系统研究
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00102
Jun Jiang, Mingfei Jiang, Xufang Zhang, Zhuo Ga
{"title":"Research on Tibetan Pronunciation Error Correction System Based on .NET Framework","authors":"Jun Jiang, Mingfei Jiang, Xufang Zhang, Zhuo Ga","doi":"10.1109/ISAIEE57420.2022.00102","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00102","url":null,"abstract":"Tibetan culture is an indispensable part of world, and Tibetan language is the primary channel to understand it. There are many types of Tibetan learning software, but most of the interaction between the software and users stays in the simple stage of video and audio playback. Intelligent error correction of the user's pronunciation is a bottleneck for the system to become intelligent. To solve this problem, based on the current advanced speech technology theory and .NET framework, combined with the theory of deep learning, this paper implements the error correction algorithm and software interface, and completes the Tibetan pronunciation training system with various functions such as pronunciation demonstration and error correction, etc. Also, the pronunciation training system with various functions provides a feasible technical solution for intelligent error correction of Tibetan spoken language.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127042941","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}
引用次数: 0
Design of Information Management System for Students' Innovation Activities Based on B/S Architecture 基于B/S架构的学生创新活动信息管理系统设计
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00037
Jianbin Cui, Zhao Zhang
{"title":"Design of Information Management System for Students' Innovation Activities Based on B/S Architecture","authors":"Jianbin Cui, Zhao Zhang","doi":"10.1109/ISAIEE57420.2022.00037","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00037","url":null,"abstract":"Under the background of rapid development of campus informatization, the information management of college students' innovative activities is slightly outdated, and the operation of the traditional innovative activity record system has gradually become rigid. In response to this situation, this paper proposes a B/S architecture-based information management system for college students' innovative activities based on the current situation that the network and computers are widely used, which is designed for the roles of relevant managers of students on campus, such as class teachers, teachers and counselors, and has developed various functions to meet the needs of such users as class teachers, including user The system is designed to meet the needs of classroom teachers, classroom teachers and tutors. In order to meet the requirements of generality, expandability and ease of development, the overall architecture of the system is based on the javaEE platform, with JSP technology as the main development technology.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130016563","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}
引用次数: 0
Multimodal Music Emotion Recognition based on WLDNN_GAN 基于WLDNN_GAN的多模态音乐情感识别
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00114
Lanqing Yin, Jiandong Tang, Jinming Yu
{"title":"Multimodal Music Emotion Recognition based on WLDNN_GAN","authors":"Lanqing Yin, Jiandong Tang, Jinming Yu","doi":"10.1109/ISAIEE57420.2022.00114","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00114","url":null,"abstract":"In order to solve the current concern of music emotion recognition, this paper proposes the WLDNN_GAN algorithm, the abstract obtained music features are MFCC features, GTF features, midi music information features, through these three features for music emotion recognition and classification. Using the same dataset, the MSE, RMSE and R2 of some currently popular model models are compared horizontally for evaluation, and the experimental results show that the model proposed in this paper can achieve excellent performance in analysing music emotion information.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129065166","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}
引用次数: 0
Optimization Algorithm of Logistics Warehousing and Distribution Path based on Artificial Intelligence Technology 基于人工智能技术的物流仓储配送路径优化算法
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00083
X. Gong
{"title":"Optimization Algorithm of Logistics Warehousing and Distribution Path based on Artificial Intelligence Technology","authors":"X. Gong","doi":"10.1109/ISAIEE57420.2022.00083","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00083","url":null,"abstract":"With the development of artificial intelligence technology in the field of logistics storage and distribution, logistics and artificial intelligence supply chain have brought new changes to the intelligent era (such as intelligent hardware, mass computing and network technology). and this impact is mainly realized by improving the efficiency of logistics technology. In order to further improve the efficiency of logistics industry, we should vigorously develop artificial intelligence technology, narrow the development gap of regional artificial intelligence, and improve the breadth and depth of artificial intelligence technology applied to logistics industry. This paper mainly explores the application of artificial intelligence in logistics, applies this technology to the logistics industry, uses artificial intelligence algorithm to accurately calculate the best path of actual distribution of logistics warehousing, and provides support for the choice of its path at the algorithm level. The use of artificial intelligence can accurately predict the inventory, and at the same time, it can also play a role in optimizing inventory measures. The unified algorithm falls into the local optimum too early, and can't consider the global distribution problem, which leads to the high cost of logistics warehousing and distribution path algorithm. Therefore, the optimization method of logistics warehousing and distribution path based on improved swarm intelligence optimization algorithm is studied. Highlight the use value of artificial intelligence technology, and make it develop towards the level of intelligent and automatic logistics and warehousing. Promote the deep integration of artificial intelligence technology with the traditional logistics industry chain, improve the production capacity of the whole chain of artificial intelligence logistics, and promote the development of the warehousing and distribution industry chain of artificial intelligence logistics.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132684939","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}
引用次数: 0
Student Psychological Prediction and Analysis System based on Improved Apriori Algorithm 基于改进Apriori算法的学生心理预测分析系统
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00137
Jing Huang
{"title":"Student Psychological Prediction and Analysis System based on Improved Apriori Algorithm","authors":"Jing Huang","doi":"10.1109/ISAIEE57420.2022.00137","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00137","url":null,"abstract":"Because college students are not fully mature psychologically, they are prone to all kinds of psychological problems, which not only bring great pressure to the teaching work, but also have certain management risks. This paper mainly studies the students' psychological prediction and analysis system based on the improved Apriori algorithm (AA). It adopts the improved AA under the matrix condition to collect and screen students' psychological assessment data, and carry out data mining (DM) and analysis on the relationship between psychological factors to get association rules. The prediction and analysis system is constructed by J2EE. It is better that the improved AA is better than other algorithms in students' psychological prediction through systematic testing.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115313360","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}
引用次数: 0
Research and System Design of Remote Comparison Method for Embedded Device Files 嵌入式设备文件远程比对方法的研究与系统设计
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00036
Feng Zhai, Peng Tao, Bin Xu, Xiaobing Liang, Yong-Feng Cao
{"title":"Research and System Design of Remote Comparison Method for Embedded Device Files","authors":"Feng Zhai, Peng Tao, Bin Xu, Xiaobing Liang, Yong-Feng Cao","doi":"10.1109/ISAIEE57420.2022.00036","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00036","url":null,"abstract":"Research and implement the remote comparison method of embedded device files. Through the file communication between the remote master station and the embedded device, the two randomly record and remove the content of the same predetermined length, and calculate the check code of the remaining part of the file. The normality of the file in the embedded device is determined by comparing the content of the predetermined length stored locally by the remote master station with the check code. By changing the content of the file, the result of each check is different, which can prevent the device from remembering the original check code and reduce the communication data at the same time.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116645048","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}
引用次数: 0
A Study on the Evaluation of English Classroom Learning Status Based on Expression Recognition Technology 基于表情识别技术的英语课堂学习状态评价研究
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00097
Yufeng Xu, Liying Wei, An Wang
{"title":"A Study on the Evaluation of English Classroom Learning Status Based on Expression Recognition Technology","authors":"Yufeng Xu, Liying Wei, An Wang","doi":"10.1109/ISAIEE57420.2022.00097","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00097","url":null,"abstract":"With the advent of the era of big data and the continuous and in-depth development of artificial intelligence technology, various networks as well as network models have emerged, ushering in the era of artificial intelligence in education. Emotion recognition technology, as a key technology of educational AI, is helping to transform education. This study combines the characteristics of English classes and proposes an expression recognition technology-based student learning status evaluation method for English classroom teaching, which can provide teachers with intelligent and comprehensive teaching feedback and enable them to grasp students' learning situation in class in a timely manner, and has strong practical value for English classroom teaching.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131422160","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}
引用次数: 1
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