Geng-sheng Hu, Chao Gao, Baohe Zhao, Jianing Liu, Tong Yao
{"title":"Research on the evaluation method of virtual clothing pressure comfort based on fuzzy clustering","authors":"Geng-sheng Hu, Chao Gao, Baohe Zhao, Jianing Liu, Tong Yao","doi":"10.1109/aemcse55572.2022.00060","DOIUrl":"https://doi.org/10.1109/aemcse55572.2022.00060","url":null,"abstract":"At present, the evaluation of clothing comfort is mainly based on the subjective evaluation of the real fitting, which relies too much on the subjective will of the wearer, and the objectivity of the evaluation depends on further verification. With the continuous development of virtual fitting technology, it is possible to study the comfort of pressure based on virtual clothing. In this paper, a fuzzy clustering-based pressure comfort evaluation model for virtual clothing is proposed. Firstly, six pairs of posture stretch trousers based on different relaxation amounts and fabrics were designed, virtual fitting was carried out using CLO 3D software and static virtual pressure values of feature points were extracted. The pressure values were then converted to a five-point scale. Finally, the virtual pressure scores were clustered using the fuzzy clustering method to classify the virtual garment pressure comfort into three categories. The experimental results show that the fuzzy clustering method can be used for the evaluation of garment pressure comfort, and its significance is to provide an objective evaluation method for the evaluation of garment comfort.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114260589","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":"Alleviating Sparsity Problem of Recommender System with No Extra Input Data","authors":"Hao Wang","doi":"10.1109/aemcse55572.2022.00139","DOIUrl":"https://doi.org/10.1109/aemcse55572.2022.00139","url":null,"abstract":"Recommender systems is one of the major technical research tracks in the internet and big data era. However, in many small or medium-sized corporations that lack big data, sparsity is a frequently encountered problem in real world context settings. The sparsity problem also poses problems to recommender system designers during the initial stage after the system is put online. In spite of the criticality of the sparsity problem, the research and investigation on sparsity problem has been slim in the research community. In this paper, we propose to use ZeroMat (invented in 2021) as the preprocessing step before recommender system execution to solve the sparsity problem. We prove by experiments our hybrid method outperforms single models such as ZeroMat and the classic version of Matrix Factorization.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115148530","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":"Carousel Path Optimization Based on Hybrid Particle Swarm Optimization Algorithm","authors":"Jun-yu Duan, Wan-zhi Rui","doi":"10.1109/AEMCSE55572.2022.00105","DOIUrl":"https://doi.org/10.1109/AEMCSE55572.2022.00105","url":null,"abstract":"In order to improve the efficiency of rotating shelf scheduling, the optimal picking path optimization problem with time interval constraint (MCS-OOIP) is considered, the mathematical model of MCS-OOIP is established, and an improved hybrid particle swarm optimization algorithm is proposed., By introducing the crossover strategy and mutation strategy of genetic algorithm and the acceptance criterion of simulated annealing algorithm, a hybrid particle swarm optimization algorithm for solving MCS-OOIP problem is constructed by combining it with particle swarm optimization algorithm. The simulation results are compared with the simple genetic algorithm, which shows that the algorithm can more effectively solve the MCS-OOIP problem under the single rotating shelf. The research results can be used as a reference for the transportation path optimization of rotary storage system.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121264519","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":"Adaptive Scheduling Algorithm Based on Time Aware Shaper","authors":"Haisheng Wang, Zixuan Zhao, Jian Wei","doi":"10.1109/AEMCSE55572.2022.00114","DOIUrl":"https://doi.org/10.1109/AEMCSE55572.2022.00114","url":null,"abstract":"At present, Time-Sensitive Networking has attracted extensive attention in automatic driving, Industrial 4.0, 5G and so on. TSN is used to guarantee the real-time transmission of critical traffic with bounded delay, which is realized by a variety of traffic scheduling mechanisms. One important mechanism of research is Time Aware Shaper mechanism, but current researches on this mechanism usually have the following problems: (a) It takes a long time to get the solution of the algorithm; (b) It’s difficult to schedule burst traffic and the algorithm depends on time synchronization; (c) There is a waste of bandwidth. The core idea of TAS mechanism is time division multiplexing, and the solution of transmission time is the key of traffic scheduling. This paper proposes an adaptive scheduling algorithm based on TAS to avoid above problems. First, the worst-case scheduling problem of actual traffic is seen as the scheduling problem of continuous traffic, and the transmission time of continuous traffic of the worst-case delay is analyzed; Second, the concept of queue scheduling is proposed to optimize scheduling, which achieves the adaptive scheduling of actual traffic, does not depend on time synchronization, and improve bandwidth utilization; Finally, the worst-case delay of the algorithm in actual traffic scheduling is analyzed.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132829090","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 Analysis of Recommendation Technology","authors":"Chang Liu, Hongjuan Wang, Mengbei Yu, Jianchang Zheng","doi":"10.1109/AEMCSE55572.2022.00162","DOIUrl":"https://doi.org/10.1109/AEMCSE55572.2022.00162","url":null,"abstract":"With the continuous development of the network, a variety of resources can be spread through the Internet, a large number of data will cause information overload in the network, how to efficiently obtain the information they need has gradually become a subject that can be studied independently. The recommendation system can filter out effective information according to the needs of users. this paper describes the current research situation of recommendation system. The traditional recommendation methods, recommendation based on deep learning and recommendation based on reinforcement learning are analyzed in detail. Finally, the problems and challenges faced by the recommendation system are discussed.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115837823","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":"Tic-tac-toe prediction based on machine learning methods","authors":"Tianxiao Wu, Cixiu Yu","doi":"10.1109/aemcse55572.2022.00085","DOIUrl":"https://doi.org/10.1109/aemcse55572.2022.00085","url":null,"abstract":"With the development of artificial intelligence (AI) in modern society, more and more research findings related to AI are being discovered. Machine learning allows for automation and mechanical control compared to traditional manual control. This article attempts to implement simulation and analysis of specific problems using some specific modules in python code. Throughout the research process, three different algorithmic models, namely Random Forest, Decision Tree, and SVM, were chosen and used to play Tic Tac Toe. By using mathematical combinations of sequences that can be played by the system, different artificial neural networks are trained, and the training results are compared and analyzed to ultimately find the most suitable algorithmic model. The choice of algorithmic model can contribute to a more accurate prediction of tic-tac-toe subsequently. Through the training and prediction of data sets, it is considered that SVM in some cases have the strongest performance among others. The model may be more applicable to the prediction and analysis of tic-tac-toe games. By analogy, the model should be able to help find more excellent performances in tic-tac-toe games.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115881183","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 visual art design of children’s picture books based on Augmented Reality Technology","authors":"Peng Fu","doi":"10.1109/AEMCSE55572.2022.00158","DOIUrl":"https://doi.org/10.1109/AEMCSE55572.2022.00158","url":null,"abstract":"With the progress and development of science and technology, the sales of traditional paper books will inevitably be affected, and because of the popularization of science and technology, traditional paper books began to add AR technology to supplement their shortcomings. AR technology is augmented reality technology, which integrates a large number of real scenes into virtual parts for interaction through the device screen. This topic studies the application of AR technology in the visual design of traditional children’s picture book art. Using the advantages of AR technology to change the limitations of traditional children’s picture book design, let children’s picture book design blend the virtual part and the real part, and present a three-dimensional story effect that fits the content of the picture book.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123160206","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":"Predicting the Risk of Stagnation of Citrus in Sichuan","authors":"Xiaoyue Sun, Chuijiang Guo, Xin Huang","doi":"10.1109/AEMCSE55572.2022.00050","DOIUrl":"https://doi.org/10.1109/AEMCSE55572.2022.00050","url":null,"abstract":"In recent years, the problem of stalled agricultural products in China has become a major issue of national importance and livelihood. In this paper, the GM (1,1) gray prediction model is constructed to evaluate the future risk of stagnation of agricultural products, and the scientificity of the method is verified by the case of Sichuan citrus, and specific implementation plans and suggestions are given after the conclusion of the research and analysis.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124520565","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 and Implementation of Auxiliary System for Automotive Welding Fixture Nnit","authors":"Weijie Lin, Zhenshan Zhang","doi":"10.1109/AEMCSE55572.2022.00040","DOIUrl":"https://doi.org/10.1109/AEMCSE55572.2022.00040","url":null,"abstract":"Based on the study of fixture computer-aided design system, an auxiliary design system applicable to automotive welding fixture units is designed and developed by using Visual Studio 2012 as the development platform, C++ language and CAA technology. This paper introduces the system framework, main sub-module functions and interactive interface in detail. The system can provide a convenient way for the efficient design of fixture units.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123687200","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 Design of Railway Supervision and Obstacle Removal Special Vehicle Based on Function Analysis Method","authors":"Aonan Wei, Peng Lu","doi":"10.1109/aemcse55572.2022.00013","DOIUrl":"https://doi.org/10.1109/aemcse55572.2022.00013","url":null,"abstract":"To protect the smooth operation of the train, the safety of the railway environment and the work of railway workers are essential. This study aims to solve the problem of railway workers in the Public Works section and design a particular vehicle for railway supervision and obstacle removal. In this proposal, the function analysis method is used to study the pain points encountered by railway workers, and the structure and function of each component are effectively combined to make each system complement the other. Build 3D models using Rhino, the proposed conceptual design scheme solves the problems of complicated and time-consuming in clearing snow and ice on track in winter, as well as the automation of railway inspection, which improves the work efficiency of railway workers; It improves the environment of temporary rest places for railway workers.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122111934","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}