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2021 International Conference of Social Computing and Digital Economy (ICSCDE)最新文献

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Long Sentence Segmentation Model based on Machine Translation 基于机器翻译的长句切分模型
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00054
Hui Cui
{"title":"Long Sentence Segmentation Model based on Machine Translation","authors":"Hui Cui","doi":"10.1109/ICSCDE54196.2021.00054","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00054","url":null,"abstract":"To solve the problems of inaccurate results and high recovery rate of traditional translation algorithms, this paper proposes a long sentence segmentation model based on machine translation. The method consists of a segmentation model and a reordering model. Firstly, the regularization matching algorithm is applied to the segmentation of long sentences, and the number of words in the sentences can be reduced through the combination of sentence components. Then, the segmentation model is trained with the word alignment information generated by the traditional statistical machine translation model, and a large number of linguistic features are used to make rules to identify and correct segmentation errors. Finally, we test the performance of our method on special corpus. The experimental results show that, compared with the traditional translation algorithm, the accuracy rate of the proposed algorithm is 5.72% higher, and the average recovery rate is 7.19% lower, which effectively solves the problems of stiff translation and poor readability.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122220816","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 the Safety Monitoring System for Civil Engineering Construction 土木工程施工安全监控系统的设计
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00043
Yongmei Feng
{"title":"Design of the Safety Monitoring System for Civil Engineering Construction","authors":"Yongmei Feng","doi":"10.1109/ICSCDE54196.2021.00043","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00043","url":null,"abstract":"In order to promote the development of automation, informatization and intelligence of civil engineering safety management, this paper proposes the framework of intelligent discovery and abnormal detection strategy in surveillance video. Based on the analysis of the characteristics and requirements of project monitoring, we put forward the abnormal event discovery technology of construction video monitoring. Then, SVM+CNN model are respectively used for image classification and feature extraction of risk recognition. At the same time, the adaptive pooling layer is introduced to filter the discriminant information during the training process. The case study is under the real environment of civil engineering construction. The test results show that our strategy can effectively identify abnormal events in construction monitoring, and it shows better comprehensive performance compared with similar algorithms.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128789771","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 Novel Deep Neural Network based Method for House Price Prediction 基于深度神经网络的房价预测新方法
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00012
Jiayi Xu
{"title":"A Novel Deep Neural Network based Method for House Price Prediction","authors":"Jiayi Xu","doi":"10.1109/ICSCDE54196.2021.00012","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00012","url":null,"abstract":"Nowadays, house price is extremely essential for human living and plays an important part in the financial market, especially in the real estate industry. In this paper, we proposed a deep learning based network for house price prediction. Firstly, a brief introduction and related work are discussed. Then, Linear Regression, Random Forest Regression, XGBoost, and SVM are all detailed explained, developed and tested. In addition, several types of densely connected based neural network are proposed and developed. Finally, all methods are evaluated on a publicly available dataset, Boston house price dataset. Our method performs competitively performance compared with other classical methods including Linear Regression, Random Forest Regression, XGBoost, and SVM, and evaluated with a variety of evaluation methods including R2, Adjustable R2, MAE, MSE, RMSE.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121058293","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: 5
Rapid detection model of water pollution based on back propagation neural network 基于反向传播神经网络的水污染快速检测模型
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00062
T. Jin, Jian-fei Zhang, Liangwen Wei, Dahui Li, WU Di
{"title":"Rapid detection model of water pollution based on back propagation neural network","authors":"T. Jin, Jian-fei Zhang, Liangwen Wei, Dahui Li, WU Di","doi":"10.1109/ICSCDE54196.2021.00062","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00062","url":null,"abstract":"By carrying out the present situation analysis and risk prediction of high mineral groundwater pollution in water source protection areas, it can effectively prevent and control the deterioration of groundwater environment and protect the safety of groundwater resources in water source protection areas. It has certain guiding significance for the development and utilization of local water resources. In this paper, a fast detection model of water pollution based on back propagation neural network is proposed. Combined with the hydrogeological conditions of a water source protection area, a three-dimensional flow system for fast detection of water pollution is established, and the dynamic parameters of fast detection of water pollution are analyzed according to the groundwater flow model. The rationality of the fast detection model and parameter selection are verified by comparing the actual observation values with simulation calculations. In this paper, the back propagation neural network identification method is used to realize the classification and identification of water pollution rapid detection. under certain prediction conditions, Visual Modflow software is used to predict the migration of high-mineral groundwater pollutants in groundwater source protection area within 20 years, which provides relevant basis for the formulation of prevention and control measures of high-mineral groundwater pollution in this water source protection area. Combined with the characteristics of water source protection areas, ammonia nitrogen and chemical oxygen demand (COD) were selected as simulation factors to realize rapid detection of water pollution. The test results show that the accuracy of rapid detection of water pollution by this method is high, and the ability of prediction and quantitative detection of water pollution is improved.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123201405","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: 2
Risk Level Comprehensive Evaluation Model of High Rise Building Construction Based on FAHP 基于FAHP的高层建筑施工风险等级综合评价模型
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00073
Yongmei Feng
{"title":"Risk Level Comprehensive Evaluation Model of High Rise Building Construction Based on FAHP","authors":"Yongmei Feng","doi":"10.1109/ICSCDE54196.2021.00073","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00073","url":null,"abstract":"In view of the frequent occurrence of safety accidents in the process of building construction in China, this paper puts forward the use of fuzzy analytic hierarchy process (FAHP) to analyze and comprehensively evaluate the construction safety. Firstly, we make a comprehensive comparative analysis on the methods of safety risk assessment of buildings, and sort out the index system of safety assessment combined with current situation of accident management in construction site. Then the paper establishes the risk evaluation model of building construction based on fuzzy theory and AHP, and evaluates the safety problems of construction project systematically and scientifically. Finally, through the implementation on an engineering example, the feasibility and practicability of the model are verified, which is proved to provide a new idea for the management and control of high-rise building construction safety.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123113826","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
A Teaching Quality Evaluation System Based on J2EE Technology 基于J2EE技术的教学质量评价系统
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00018
Qian Liyun
{"title":"A Teaching Quality Evaluation System Based on J2EE Technology","authors":"Qian Liyun","doi":"10.1109/ICSCDE54196.2021.00018","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00018","url":null,"abstract":"To realize the effective quantification of the qualitative evaluation of the teaching quality of gold courses in colleges, this paper designs and implements a teaching quality evaluation system based on J2EE. We draw lessons from the existing experience of teaching quality evaluation, adopt B/S operation mode and SQL Server 2016 as the background database, and provide an analysis and design scheme based on three-tier architecture, including requirement analysis and design, as well as the specific implementation process of key modules. Finally, through the operation test analysis of the system, it shows that the evaluation system designed in this paper can implement diversified learning evaluation and provide a good scientific means for the comprehensive construction and quality evaluation of golden courses in colleges.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115836601","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
Charging Location Selection Based on the Investigation of Charging Behavior of Private Cars 基于私家车充电行为调查的充电地点选择
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00026
M. Wen, Wang Xiang, Jincan Sun
{"title":"Charging Location Selection Based on the Investigation of Charging Behavior of Private Cars","authors":"M. Wen, Wang Xiang, Jincan Sun","doi":"10.1109/ICSCDE54196.2021.00026","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00026","url":null,"abstract":"In recent years, electric vehicles have become a new direction for the development of urban low-carbon transportation. However, the unreasonable layout of charging facilities has gradually led to problems such as difficulty in charging in some areas, which has brought range anxiety to EV users and potential buyers and hindered the development of EV to a certain extent. Therefore, an in-depth study of EV users' charging behavior is of great significance to optimize the layout of charging stations. In this paper, the charging behavior of EV users was investigated and analyzed by means of questionnaire survey, and then the influence of personal attributes, travel characteristics and charging behavior on the selection of charging location was studied and discussed by using the multivariate Logit model. Charging locations are divided into three categories: living work area charging stations, shopping malls charging stations and social public charging stations. Living work area charging stations include residential area charging stations and unit/company charging stations. The results show that family annual income, travel time consumption per trip, average number of daily trips, travel purposes, and whether quick charging is usually used have significant effects on users' choice of charging locations.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126684846","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 on Innovation of Integrated Management Mode of Supply Chain in Cross-border E-commerce Service 跨境电子商务服务供应链一体化管理模式创新研究
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00066
Li Wei, Bei-zhan Wang
{"title":"Research on Innovation of Integrated Management Mode of Supply Chain in Cross-border E-commerce Service","authors":"Li Wei, Bei-zhan Wang","doi":"10.1109/ICSCDE54196.2021.00066","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00066","url":null,"abstract":"China's cross-border e-commerce exports still have risks in policy, logistics and payment. This paper studies the innovative model of integrated management mode of supply chain in optimized cross-border e-commerce services. This paper analyzes the development status of cross-border e-commerce service cross-border e-commerce, focuses on the operation of supply chain in cross-border e-commerce service, constructs PEST-SWOT matrix, analyzes the development of supply chain in cross-border e-commerce service from four aspects of politics, economy, society and technology, and puts forward the optimization path of cross-border e-commerce service cross-border e-commerce supply chain development. The supply chain in cross-border e-commerce service is the largest cross-border B2C retail platform in China. Combined with correlation index analysis, the correlation feature quantity of reliability panel data of supply chain integrated management mode in cross-border e-commerce service is extracted, and the reliability data fusion of supply chain integrated management mode in cross-border e-commerce service is carried out by the method of prior information distributed detection. The empirical analysis shows that the optimized integrated management mode improves the integration and management ability of supply chain in cross-border e-commerce services, and has a good confidence, thus improving the integration of supply chain in cross-border e-commerce services.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122615204","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: 2
A Classification Method of Social Network Members Based on Content Security 基于内容安全的社交网络成员分类方法
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00009
Wang Zhe, Han Kun, Du Jia, Song Xiaofeng
{"title":"A Classification Method of Social Network Members Based on Content Security","authors":"Wang Zhe, Han Kun, Du Jia, Song Xiaofeng","doi":"10.1109/ICSCDE54196.2021.00009","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00009","url":null,"abstract":"With extensive and deep applications of Social Networking Services (SNS), more and more security issues are unfortunately related to it. Research shows unsuitable classification of social network members may induce misinformation and privacy leak. Thus, we propose a novel classification method of social network members based on content security. The method adopts LDA (Latent Dirichlet Allocation) to identify the topics of social networking content, and then takes topic vector as label to annotate the talking member. Finally, all the members are periodically classified according to topic labels. Moreover, an algorithm is also introduced to update the labels, so that the labels may be consistent in the trust decay. Preliminary experiments show that the method achieves 70%-85% customers' satisfaction.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124835071","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
Cycle life prediction method of lithium ion batteries for new energy electric vehicles 新能源电动汽车用锂离子电池循环寿命预测方法
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00034
Runze Gao, Xiao Li, Haitao Yu
{"title":"Cycle life prediction method of lithium ion batteries for new energy electric vehicles","authors":"Runze Gao, Xiao Li, Haitao Yu","doi":"10.1109/ICSCDE54196.2021.00034","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00034","url":null,"abstract":"In order to solve the problems of high battery capacity detection error and low life prediction accuracy existing in traditional lithium-ion battery cycle life prediction methods, based on the battery capacity detection results, the cycle life prediction of lithium-ion batteries for new energy electric vehicles was carried out. Firstly, the principle of charge and discharge of lithium-ion battery is analyzed. Based on this, the idea of differential equation is introduced to detect the capacity of lithium-ion battery in real time. Secondly, according to the battery capacity test results, the exponential function of lithium-ion battery cycle life decline is constructed, and the calculation result of life influence factor is obtained. Finally, the lithium-ion battery cycle life prediction model is constructed, and the final prediction results are obtained. The experimental results show that the proposed method can always keep a low battery capacity detection error in multiple charging and discharging cycles, and the battery cycle life prediction accuracy can reach 97%.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121286463","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: 2
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