{"title":"Self-supervised Recommendation Model Combined with Constrastive Learning Function","authors":"Wang Guang, Li Gang","doi":"10.1109/ISAIEE57420.2022.00116","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00116","url":null,"abstract":"Aiming at the problem of data deficency and cold start in recommendation algorithm, this paper propose a self-supervised recommendation model combined with constrastive learning function(CLSRec). The model completes self-supervised learning through two positive-and-negative case-based constrastive learning tasks clotfilling prediction and subsequence prediction. Firstly, the algorithm masks a individual item and subsequence of the user interaction respectively according to the corresponding task requirements, and then predicts the missing items through the encoding layer and the self-attention layer. During the process, the model automatically constructs the positive and negative examples of the prediction results, and completes the training according to the constrastive learning loss function corresponding to the task, so as to learn the correct semantic feature representation and space vector coding. Secondly, the model utilizes the trained upstream item coding for the downstream prediction. Finally, the model can obtain user-satisfactory recommended results. By comparison of experimental results on Beauty, Toys and LastFM, the CLSRec works better on multiple metrics.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"55 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":"126666148","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":"Bicycle driving power allocation model based on simulated annealing algorithm","authors":"Yu Cao, Zhi-Yuan Wang, Yunxiang Ge, Maosong Wang","doi":"10.1109/ISAIEE57420.2022.00053","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00053","url":null,"abstract":"The development of road bicycles has a long history, cyclists always hope to complete the race in the shortest time on a fixed track, and the power distribution of the rider will affect the time to finish the race. In this thesisa single-objective optimization problem is established. First, according to the power distribution model, the optimal power distribution is obtained; secondly, the number, duration, location, and size of deviation from the target are set. Through the control variable method, the constraint condition is determined as the process conditionFor the team competition problem, we established a formation transformation model to obtain the influence of wind resistance power on different riders in different positions of the team. According to the established global power- time matching model, we perform linear weighting on the two models, integrate them into a final single optimization objective, write the differential equation after difference, and finally establish an optimization model targeting this single objective, using the simulated annealing algorithm","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"12 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":"125326759","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}
Cai Huan, Deng Fengqiang, Wang Zhidong, Yang Ling, Zhang Rui, Liu Shiqi
{"title":"Discussion on experimental teaching method based on combination of deficiency and reality and integration of science and education","authors":"Cai Huan, Deng Fengqiang, Wang Zhidong, Yang Ling, Zhang Rui, Liu Shiqi","doi":"10.1109/ISAIEE57420.2022.00123","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00123","url":null,"abstract":"Experimental teaching is an essential part of Engineering Teaching in Colleges and universities. In view of the single traditional experimental teaching mode and students' passive coping, this paper proposes an experimental teaching method based on the combination of virtual reality and the integration of science and education. First of all, it introduces the importance of the combination of virtual reality and the integration of science and education to the development of students; Secondly, taking the electrical experimental teaching as an example, on the basis of making full use of the existing experimental equipment, build a new experimental platform to discuss the experimental teaching methods; Finally, through students' experimental teaching cases, it shows the usefulness of the experimental teaching method, which has a good role in promoting the cultivation of students' innovative ability. In addition, considering the universality and popularization of experimental teaching methods, this paper has a wide range of reference significance for other disciplines and majors.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"51 5 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":"134537297","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 Dispersed Artificial Intelligence IoT System Based on Container Virtualization","authors":"Zou Li, P. Zhao","doi":"10.1109/ISAIEE57420.2022.00068","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00068","url":null,"abstract":"With the continuous development of IoT technology and computer science and technology, the application of IoT technology in life has penetrated all walks of life. Integrating the Internet of Things technology and the traditional information industry is particularly critical in this process. Traditional Internet of Things artificial intelligence technology is in the process of the interconnection of all things, always connecting to the cloud, so the performance and bandwidth requirements of the cloud will be relatively high. This article uses container virtualization technology to set up mirror servers and nodes between the Internet of Things. The cloud uses virtual desktop mirror container virtualization technology in the system and uses virtual desktops near the location of service terminals. Set up network devices in the cloud. It avoids the problem that the network is easily attacked by communication line nodes and improves the communication efficiency of the artificial intelligence distributed Internet.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"375 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":"122837571","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 and Application of Online Course Recommendation System Based on TF-IDF Algorithm","authors":"Hu Anming","doi":"10.1109/ISAIEE57420.2022.00075","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00075","url":null,"abstract":"In recent years, with the rapid development of Internet technology, a large number of online learning resources have emerged. Especially affected by the COVID-19 epidemic, online learning has become a very effective learning means. However, a large number of learning platforms and massive online teaching resources have the following three problems: 1) The quality of these courses is uneven and the evaluation standards are different; 2) There are so many similar courses that it is difficult for learners to distinguish them; 3) These classes are lack of unity and integration, and it is hard to recommend any hierarchical, coherent and systematic course resources to learners. Therefore, a recommendation model based on TF-IDF algorithm is designed to extract personalized-featured courses, use the nearest neighbor similarity to cluster the similarity of similar courses, and conduct the featured portrait of learners to realize online courses recommendation. Combined with the model design, this paper presents a tag-based online course resource recommendation system, which can fully explore learners' explicit and implicit preferences according to course tags, and recommend satisfactory MOOC resources for them with good application value.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"22 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":"122973161","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":"Chinese medical knowledge mining and analysis based on syntactic dependency and named entity recognition","authors":"Jiayi You","doi":"10.1109/ISAIEE57420.2022.00050","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00050","url":null,"abstract":"In the hospital, when doctors get the patient's case analysis, they often need to spend a lot of time reading the text of the current case and then analyze it, in order to get the cause that affects the patient's disease, most of which are limited to the cause of the disease. In order to allow doctors to see the cause of the patient's condition more intuitively and clearly, combined with Python's powerful data processing, text training, data mining and other functions, firstly carry out text training on the hospital's case details in previous years, and perform named entity recognition on medical entities to achieve entity classification. Then, based on the Chinese text structure, through dependency syntax analysis, a keyword for a disease analysis is extracted, and finally a triple is formed. The ontology project is constructed through protege, and a knowledge map is formed, which not only serves as an intuitive analysis and display of this disease.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"3 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":"123881132","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 Penetration Testing of IoT Gateway Based on RISC- V","authors":"Boyang Cai, Shaobin Xie, Quanyi Liang, Wanyi Lu","doi":"10.1109/ISAIEE57420.2022.00093","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00093","url":null,"abstract":"With the explosive development of information technology, a series of technologies including 5G communication, sensors, artificial intelligence and so on are making the traditional home “intelligent”. In modern families, people and things, things and things are connected, which can greatly improve the convenience and comfort of people's daily life. However, we should also guard against the potential security risks of the smart home network. Firstly, this paper constructs a penetration test platform of smart home IoT system based on RISC- V processor architecture. Secondly, the penetration test method of smart home IoT system is studied, and the test results are analyzed. The test results show that the penetration test can help the system designer master the deficiencies and defects of the tested system, and make necessary repairs to avoid the harm of security threats. In addition, RISC- V architecture chip has great vitality in the field of smart home system security.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"15 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":"128424282","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 Brake Pad Fault Early Warning Method Based on Finite Element Temperature Field","authors":"Fei Gao, Kai Ma, Moli Wang","doi":"10.1109/ISAIEE57420.2022.00072","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00072","url":null,"abstract":"As one of the important components in the braking process of automobiles, brake pads play a very important role in the overall safety of automobiles. During the braking process, due to the large amount of frictional heat generated during the braking process, the anti-skid material on the surface will be continuously consumed. Therefore, the brake pads will gradually become thinner until they are excessively worn, thus affecting the stability of the automobile braking system, which is very harmful to driving safety. Therefore, in this paper, the finite element temperature field of the brake pad is modeled, and the state of its failure is considered from the computer program system. Through the system program, the fault characteristics during the braking process of the brake pads are depicted, that is, use the indicators of the programming language to describe the characteristic types of brake pad failures in detail to achieve the relevant purpose of early warning for brake pad failure.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"8 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":"116972410","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":"License plate detection optimization based on YOLO algorithm","authors":"Baitong Lu","doi":"10.1109/ISAIEE57420.2022.00012","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00012","url":null,"abstract":"In order to improve the recognition ability of license plates, this paper proposes an end-to-end license plate optimization recognition algorithm based on YOLOv3 algorithm, and proposes a method based on detection dewarping convolutional neural network (DU-CNN). Based on YOLOv3 model, the Darknet-31 network is proposed. This structure not only improves the extraction ability of the network but also speeds up the extraction speed. According to the characteristics of small license plate characters, a network prediction scale is added to improve the detection ability of license plate characters. Experimental results show that the proposed method has better recognition accuracy, outperforms some commercial systems in difficult data sets, and has better stability.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"7 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":"117338827","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}
Yao Sang, Lu Liu, Xiangfei Sun, Haoru Fan, Bin Wang
{"title":"Analysis and Research on the Importance of Power Communication Network Services and Nodes","authors":"Yao Sang, Lu Liu, Xiangfei Sun, Haoru Fan, Bin Wang","doi":"10.1109/ISAIEE57420.2022.00125","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00125","url":null,"abstract":"With the rapid development and construction of power grid intelligence, power communication network has been rapidly developed and innovated. The electric power communication network is a special network to ensure the safety of the power grid. In the actual operation, when a fault occurs, the electric power communication dispatcher can give instructions according to the business of the communication network and the importance of the node, guide the professional network management or the site to carry out emergency business detour and recovery, minimize the scope of influence and reduce the level of the event. This paper mainly expounds the performance index and importance of power communication network services and nodes, which provides a more practical reference for the analysis and research of power communication network services and node importance.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"9 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":"114878972","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}