{"title":"Visualization and Analysis of Users' Online Behavior in Campus Network","authors":"Kun Liang, Jingjing Liu, Haoyuan Pang","doi":"10.1145/3375998.3376037","DOIUrl":"https://doi.org/10.1145/3375998.3376037","url":null,"abstract":"While the network provides convenience for students, it also allows students with poor self-control to get caught up in it. This paper uses the network log of college students' campus network as the data source, analyzes the online behavior log through user preference analysis, cluster analysis and correlation analysis, studies the correlation between academic performance and online behavior, and predicts academic performance, and analyzes the results. Visualize the display. In order to give users a better visual experience, this paper designs a user online behavior analysis system, which can analyze and reason the user's online behavior data, provide a scientific management basis for teachers to standardize and guide students to learn online behavior, and improve the students. Provide support and guidance on learning quality and efficiency.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122445846","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}
Qiqi Zhang, Bo Fan, Kexing Song, Hua Huo, Wenwu Hou
{"title":"Research on Intelligent Modular Process Recombination based on Improved Genetic Algorithm","authors":"Qiqi Zhang, Bo Fan, Kexing Song, Hua Huo, Wenwu Hou","doi":"10.1145/3375998.3376008","DOIUrl":"https://doi.org/10.1145/3375998.3376008","url":null,"abstract":"Aiming at the planning problem of the whole process processing route of the irreversible modular process library, a modular process intelligent reorganization method based on improved genetic algorithm was designed. Firstly, the mathematical model of product multi-process route planning problem is established, and the product attribute problem is transformed into the problem of product feasibility modular process reorganization strategy. The two-level modular process retrieval method using target feature matching and feature attribute matching is adopted to improve genetics. The evolutionary algorithm obtains the feasibility modularization process of the product to be processed, and combines the center distance theory to obtain the optimal process route of the product modular process reorganization strategy. Combined with the special application examples of aluminum/copper strip, the feasibility and convergence of the proposed method are verified by simulation analysis.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116892489","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":"Semi-supervised Flexible Joint Distribution Adaptation","authors":"Shaofei Zang, Yuhu Cheng, X. Wang, Jianwei Ma","doi":"10.1145/3375998.3376022","DOIUrl":"https://doi.org/10.1145/3375998.3376022","url":null,"abstract":"For the traditional feature transfer method, there are problems that the projection transformation is too rigid and data manifold structure cannot be captured inadequately. In this paper, we propose a feature extraction method with the ability of knowledge transfer named Semi-supervised Flexible Joint Distribution Adaptation (SFJDA). Firstly, we introduce a flexible transformation constraint instead of the traditional linear projection into Joint Distribution Adaptation (JDA) to relax this constraint and extract shared feature between source and target domains. Secondly, Manifold Alignment (MA) is introduced to mine geometric information of the source and target domains. Finally, Linear Discriminant Analysis (LDA) and its kernel form are integrated into the objective function to keep class separability during label refinement procedure. Experimental results on 36 groups of image datasets in the classification task validate the feasibility and effectiveness of the proposed algorithm.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129927943","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}
M. Shahid, S. A. Sheikh, Furqan Haider Qureshi, M. Zeeshan, Qasim Umar Khan
{"title":"Performance Analysis of XQAM in Log-Normal Turbulence with Pointing Error and Non-zero Boresight","authors":"M. Shahid, S. A. Sheikh, Furqan Haider Qureshi, M. Zeeshan, Qasim Umar Khan","doi":"10.1145/3375998.3376033","DOIUrl":"https://doi.org/10.1145/3375998.3376033","url":null,"abstract":"In recent years, free-space optical (FSO) technology has gained fame in communication systems due to its high data rates and license-free feature. Cross quadrature amplitude modulation (X-QAM) is an optimum modulation scheme that uses odd bits per symbol and it has a low average symbol error rate (ASER) than rectangular quadrature amplitude modulation (R-QAM). In this paper, we theoretically investigate the performance of subcarrier cross quadrature amplitude modulation (SC-XQAM) corrupted by atmospheric turbulence in the presence of pointing errors (P.E) in FSO communications. We have considered boresight displacement, P.E effect, and atmospheric turbulence. To represent the atmospheric turbulence we consider Log-normal distribution that exhibits weak, moderate and strong weather effects. The P.E is employed using Rician distribution that incorporates boresight displacement. P.E is modeled using an optical beam radius and receiver aperture radius. The combination of these parameters will help enhance the average symbol error rate (ASER). Furthermore, we have derived an analytical expression that is used to develop numerical result. The ASER performance is observed against optical beam radius, P.E standard deviation and receiver aperture radius. In the end, the ASER performance is evaluated against SNR and Monte Carlo simulations are performed which validates the theoretical results.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130810946","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}