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2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)最新文献

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Research on enterprise network security system 企业网络安全系统研究
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1117/12.2635817
Jundan Hou, Xiangli Jia
{"title":"Research on enterprise network security system","authors":"Jundan Hou, Xiangli Jia","doi":"10.1117/12.2635817","DOIUrl":"https://doi.org/10.1117/12.2635817","url":null,"abstract":"With the development of openness, sharing and interconnection of computer network, the architecture of enterprise network becomes more and more complex, and various network security problems appear. Threat Intelligence(TI) Analysis and situation awareness(SA) are the prediction and analysis technology of enterprise security risk, while intrusion detection technology belongs to active defense technology. In order to ensure the safe operation of computer network system, we must establish a multi-level and comprehensive security system. This paper analyzes many security risks faced by enterprise computer network, and integrates threat intelligence analysis, security situation assessment, intrusion detection and other technologies to build a comprehensive enterprise security system to ensure the security of large enterprise network.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127511877","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
Object Detection Algorithm Based on Alternate-Attention 基于交替注意的目标检测算法
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00075
Xuejie He, Chen-Yan Bai, H. Qi, Honghong Liu
{"title":"Object Detection Algorithm Based on Alternate-Attention","authors":"Xuejie He, Chen-Yan Bai, H. Qi, Honghong Liu","doi":"10.1109/ICCSMT54525.2021.00075","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00075","url":null,"abstract":"The one-stage object detection algorithm, YOLOv3, has a fast detection speed and can meet real-time requirements. But giving the same attention weight to all grids during detection will result in the inability to highlight the detection subject, so the positioning accuracy of the bounding box is still room for improvement. In order to improve the detection accuracy, this paper proposes an Alternate-Attention mechanism, using the global pooled attention mechanism to highlight the overall characteristics, and the self-attention mechanism to reflect the self-weight relationship between features. The two attention mechanisms are alternated and applied to the two dimensions of channel and space, and finally enhance the features extracted by Darknet-53. Experiments on the PASCAL VOC2007 dataset shows that this algorithm can effectively improve the detection accuracy. Compared with Faster RCNN, YOLO series and SSD series algorithms, the mAPlouo.5 value of this algorithm is higher, up to 80.24.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116878345","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
Detection of Cassava Leaf Diseases Using Self-supervised Learning 基于自监督学习的木薯叶片病害检测
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00032
Heng-Yang Zhang, Yushen Xu, Jialiang Sun
{"title":"Detection of Cassava Leaf Diseases Using Self-supervised Learning","authors":"Heng-Yang Zhang, Yushen Xu, Jialiang Sun","doi":"10.1109/ICCSMT54525.2021.00032","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00032","url":null,"abstract":"Identifying infected plants such as cassava leaves in advance and removing them early can effectively increase production. The traditional approach is to use many image sets to improve the classification accuracy of neural networks. However, this must be established on the premise that the data sets have enough labels that botanists can classify. We applied self-supervised learning to image classification and trained a reliable cassava disease detection model to reduce the difficulty and cost of collecting these tags. We propose a new hybrid loss that combines the classification and contrastive losses for the whole classification process. Experiments show that our method performs well in the lacking of labeled data. Specifically, the model uses 2/3 of the total data set and reaches an accuracy (90%) close to supervised learning (91.59%) by adding the contrastive term. In addition, we also prove that the change of the percentage of data without labels is linearly independent of the model detection accuracy.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114449742","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
Pork Price Forecast Based on the Comparison of KPCA-ARIMA-LSTM and DBN Multi-Model 基于KPCA-ARIMA-LSTM和DBN多模型比较的猪肉价格预测
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00033
Fan Yang, Sihao Lin, Jiaxuan Zhang
{"title":"Pork Price Forecast Based on the Comparison of KPCA-ARIMA-LSTM and DBN Multi-Model","authors":"Fan Yang, Sihao Lin, Jiaxuan Zhang","doi":"10.1109/ICCSMT54525.2021.00033","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00033","url":null,"abstract":"The pork price is affected by feed prices, national policies and per capita GDP. The price fluctuates greatly, and there is no obvious regularity. Accurately predicting the price of pork is of great significance to stabilizing the agricultural product market. Most scholars take a single model to predict the price, but the accuracy is not high. This paper proposes a combination model of KPCA-ARIMA-LSTM to predict pork prices. Since many factors affect the price of pork, to simplify the calculation and improve the calculation efficiency, this paper firstly uses KPCA to reduce the dimensions of the influencing factors. Due to the high volatility of pork prices, this paper divides the historical pork prices into linear and non-linear parts, uses ARIMA to predict the linear part, and uses LSTM for non-linear features. The neural network makes predictions and combines the results of the two models. In addition, the DBN model is also constructed, and the ARIMA model, LSTM model, ARIMA-LSTM model, and DBN model prediction are compared comprehensively. The experimental results show that the KPCA-ARIMA-LSTM combination model has high prediction accuracy.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"4 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120855760","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 Text Generation of Movie Information Retrieval Based on Natural Language Processing Technology 基于自然语言处理技术的电影信息检索文本生成研究
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00070
Jinyuan Zhang, X. Xiao, Ke Chen
{"title":"Research on Text Generation of Movie Information Retrieval Based on Natural Language Processing Technology","authors":"Jinyuan Zhang, X. Xiao, Ke Chen","doi":"10.1109/ICCSMT54525.2021.00070","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00070","url":null,"abstract":"The rapid development of the film industry and the complexity of related information pose challenges to effective film information retrieval. NLP technology has been widely used and is very suitable for film-related information extraction, processing and retrieval. Based on natural language processing technology, this paper researches film information retrieval text generation. First, this paper implements a movie information knowledge graph containing 5044 ontologies and 22,351 triples; then, this paper uses a dictionary-based named entity recognition method to extract key information from the retrieval problem and uses a rule-based method to generate the corresponding information. In order to obtain more objective evaluation information of related movies, this paper also uses the LSTM network model to conduct sentiment analysis of movie review information and adds this information to the knowledge graph to obtain richer movie information. The research in this paper can promote the intelligent retrieval of movie information.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117187434","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 Solving Combinatorial Optimization Problems Based on Hyper-heuristic Algorithms 基于超启发式算法的组合优化问题求解研究
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00091
Jianshuang Cui, Jingwen Yu
{"title":"Research on Solving Combinatorial Optimization Problems Based on Hyper-heuristic Algorithms","authors":"Jianshuang Cui, Jingwen Yu","doi":"10.1109/ICCSMT54525.2021.00091","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00091","url":null,"abstract":"Due to the single mechanism of traditional heuristic algorithms and meta-heuristic algorithms, different algorithms for different problems or the same problem need to be customized. To solve these shortcomings, scholars have begun to study hyper-heuristic algorithms. This paper proposes a tabu search hyper-heuristic algorithm based on random selection to solve multiple combinatorial optimization problems. The algorithm model divides into high level and low level. The low level comprises meta-heuristic operators with multiple heterogeneous mechanisms and meta-heuristic operators with different parameter combinations of the same algorithm. According to the tabu search algorithm based on random selection, the high level automatically selects operators. Because the model organically integrates the tabu search algorithm and different meta-heuristic algorithms, it has a certain scalability. To verify the effect of the algorithm, two cases of combined optimization problems of CVRP and MRCPSP from the international benchmark case library for experiments. Experimental results show that the tabu search hyper-heuristic algorithm based on random selection has an excellent performance in multiple performance indicators such as target value and versatility. It can apply to different combinatorial optimization problems.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115294035","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 Quality Evaluation of Crowdsourcing Logistics Service under New Retail 新零售下众包物流服务质量评价研究
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00104
Feng-Jie Wang, Yu-Hui Lu, Jinchao Guo, Hai-Yan Wu
{"title":"Research on Quality Evaluation of Crowdsourcing Logistics Service under New Retail","authors":"Feng-Jie Wang, Yu-Hui Lu, Jinchao Guo, Hai-Yan Wu","doi":"10.1109/ICCSMT54525.2021.00104","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00104","url":null,"abstract":"Under the background of “new retailing”, logistics has become the key factor of instant delivery in the same city. Crowdsourcing logistics mode reduces the operation cost for internet enterprises and improves the efficiency of logistics by integrating social idle resources. However, with the development of the economy, there are also many service quality problems. Therefore, the logistics service quality needs to be improved. This paper used DD company as an example, based on the model-the fuzzy comprehensive evaluation program for analysis of logistics service quality, and puts forward feasible suggestions from the perspective of customer perception. In this case, the ultimate goal is providing reference for the innovation and development of new retailing.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127514204","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 Application of Operational Risk Evaluation Method for Offshore Wind Power Project 海上风电项目运行风险评价方法研究与应用
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00112
Siyuan Tang, Hairong Wu, Nengbin Li
{"title":"Research and Application of Operational Risk Evaluation Method for Offshore Wind Power Project","authors":"Siyuan Tang, Hairong Wu, Nengbin Li","doi":"10.1109/ICCSMT54525.2021.00112","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00112","url":null,"abstract":"In order to objectively grasp the main operation risks of offshore wind power project production and operation and realize the operation risk management of offshore wind power enterprises, this paper proposes an operation risk evaluation method. Firstly, it is necessary to identify the main risk types of offshore wind power projects and the risk factors causing operation accidents. Then, the possibility and severity of the accident are determined by the operation classification method. Finally, the risk matrix based on job classification is established to obtain the risk level of each operation activity. This method is applied to an “S” offshore wind power project to identify and evaluate the risk factors in the operation process. The risk degree of all aspects in the operation process of the offshore wind power project is obtained. The evaluation results show that equipment operation risk is the most critical risk factor, followed by safety management risk.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"1015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116249820","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
New Energy Vehicle Sales Forecast Based on GA-SFA-SVR 基于GA-SFA-SVR的新能源汽车销量预测
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00029
Kai Dang, Qinghua Li, Zhiqi Xu
{"title":"New Energy Vehicle Sales Forecast Based on GA-SFA-SVR","authors":"Kai Dang, Qinghua Li, Zhiqi Xu","doi":"10.1109/ICCSMT54525.2021.00029","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00029","url":null,"abstract":"With the proposal of a carbon peak carbon neutralization target, new energy vehicles instead of traditional fuel vehicles have become the trend. Accurate prediction of new energy vehicle sales is significant to market policy formulation, company strategy adjustment and carbon reduction target realization. Because of the characteristics of new energy vehicles, such as short development time, less data and great influence by policy, this paper first uses the grey analysis method to calculate the correlation coefficient of each index, and then uses the slow feature algorithm to extract the factors with the slowest change, and uses the SVR to predict. In order to verify the validity of the model, Bayesian regression and linear regression models are used for comparison. The conclusion shows that the prediction error of this method is kept below 2 %, and the prediction accuracy is the best.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125804274","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
Dual-channel Retailer's Showroom Pricing and Service Decision Based on Numerical Simulation 基于数值模拟的双渠道零售商展厅定价与服务决策
2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI: 10.1109/ICCSMT54525.2021.00118
Jinrong Liu
{"title":"Dual-channel Retailer's Showroom Pricing and Service Decision Based on Numerical Simulation","authors":"Jinrong Liu","doi":"10.1109/ICCSMT54525.2021.00118","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00118","url":null,"abstract":"At present, more and more retailers offer customers a seamless shopping experience through all available shopping channels to enrich customer value propositions and improve operational efficiency. The omnichannel offline showroom improves market demand and reduces the online return rate by providing the ultimate experience service, and at the same time reduces inventory cost by storing goods in remote areas or distribution centers. In this study, we identify optimal pricing and experience service decisions as well as the effects of the showroom on demand and profitability when a dual-channel retailer opens a showroom. Through numerical simulation and analysis, we find that, when the cost factor of an experience service effort reaches a certain threshold, opening a showroom channel will increase dual-channel retailers' total demand and total profit and reduce the online channel demand, and the reduced demand in the online channel will be transferred to the showroom channel. Furthermore, after opening the showroom channel, the total demand and total profit can be maximized through joint optimization decision-making to increase pricing and improve experience service levels. In addition, optimal pricing and the maximum profit decline as the online return rate increases, and the optimal experience service increase as the online return rate increases.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127158051","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
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