Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00096
Lingqian Wu
Based on big data research, taking a high-star hotel contract energy management project as an example, this paper analyzes and studies the technical scheme, energy saving effect and energy saving benefit of high-star hotel energy saving transformation under the contract energy management mode, which has guiding and demonstration significance for the application of contract energy management in high-star hotel building energy saving transformation project.
{"title":"Application of energy management in a high-star hotel contract based on big data","authors":"Lingqian Wu","doi":"10.1109/ICCSMT54525.2021.00096","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00096","url":null,"abstract":"Based on big data research, taking a high-star hotel contract energy management project as an example, this paper analyzes and studies the technical scheme, energy saving effect and energy saving benefit of high-star hotel energy saving transformation under the contract energy management mode, which has guiding and demonstration significance for the application of contract energy management in high-star hotel building energy saving transformation project.","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":"115678980","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}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00040
Haiyan Zheng, Xinyu Wang
Based on the legality theory and impression management theory, this paper uses 112 listed companies in polluting industries as the research sample to empirically test the relationship between environmental performance and environmental information disclosure. The study found that: companies will adjust their environmental information disclosure strategies based on current environmental performance; companies with good performance are more inclined to disclose high-quality information that is true and evidence, and companies with poor performance usually perform impression management on environmental reports based on the form and content of disclosure; compared with companies with good environmental performance, companies with poor environmental performance have lower environmental information disclosure quality.
{"title":"Research on Environmental Information Disclosure Based on the Perspective of Impression Management","authors":"Haiyan Zheng, Xinyu Wang","doi":"10.1109/ICCSMT54525.2021.00040","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00040","url":null,"abstract":"Based on the legality theory and impression management theory, this paper uses 112 listed companies in polluting industries as the research sample to empirically test the relationship between environmental performance and environmental information disclosure. The study found that: companies will adjust their environmental information disclosure strategies based on current environmental performance; companies with good performance are more inclined to disclose high-quality information that is true and evidence, and companies with poor performance usually perform impression management on environmental reports based on the form and content of disclosure; compared with companies with good environmental performance, companies with poor environmental performance have lower environmental information disclosure quality.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"39 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":"127281350","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}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00024
Mingliang Hu, Erjun Yu, Lu Zhang, Xiaqing Liu
With the development of complex products, military enterprises face various paradoxical realities, like chaos, complexity and contraction. these are caused by multi-dimensional effects in space and desynchronization effects in time. The management reform is gradually promoted by engineering practice. The management aims to seek a comprehensive and coordinated solution to the process system and capacity building problems. The management system establishes a value system with no goal, no end, but it only has a doer and a growing team. The process can be divided into three parts, including identification, systematic decomposition and compound combination, to realize process fundamental changes, affecting the future state. The case analysis is conducted for fault investigation and repair of military product development process. The practice shows that the method proposed in this paper improves designers ability, condenses the team combat effectively, accelerates the processing process of fault parts, and successfully completes the model development task.
{"title":"Management Practice of Process-based System Construction Applied to Complex Engineering","authors":"Mingliang Hu, Erjun Yu, Lu Zhang, Xiaqing Liu","doi":"10.1109/ICCSMT54525.2021.00024","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00024","url":null,"abstract":"With the development of complex products, military enterprises face various paradoxical realities, like chaos, complexity and contraction. these are caused by multi-dimensional effects in space and desynchronization effects in time. The management reform is gradually promoted by engineering practice. The management aims to seek a comprehensive and coordinated solution to the process system and capacity building problems. The management system establishes a value system with no goal, no end, but it only has a doer and a growing team. The process can be divided into three parts, including identification, systematic decomposition and compound combination, to realize process fundamental changes, affecting the future state. The case analysis is conducted for fault investigation and repair of military product development process. The practice shows that the method proposed in this paper improves designers ability, condenses the team combat effectively, accelerates the processing process of fault parts, and successfully completes the model development task.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"772 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":"116412893","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}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00111
Jiaxin Wang, Hongsheng Zhou, Fanru Ouyang, Yu Shi
Due to the long order lead time of the construction and decoration plate production enterprises, the suppliers often fail to deliver the goods in time, which affects the production of the enterprises. At the same time, the overall inventory of the supply chain occupies a large scale, and the capital turnover pressure of plate enterprises is great. First of all, this paper selects the relevant indicators and makes a quantitative analysis of each index with the help of PCA method, and quantifies the order satisfaction rate, supply variance and supply mean. Then this paper uses the principal component analysis PCA method to determine the weight of the above three indicators, in which the order satisfaction rate accounts for the largest weight. On this basis, the quantitative evaluation index system of supplier guarantee enterprise production is established, and the top 50 most important suppliers are solved. This paper constructs the quantitative index system of supplier guarantee enterprise production and the minimum loss of transporters, gives the solution of the optimal supplier and transporter, and sets up the most economical ordering strategy and transshipment strategy. Then the minimum number of transshipment merchants is solved by 0-1 model, and it is found that at least 17 enterprises can meet the demand of production. We establish the most economical raw material ordering strategy based on multi-objective programming model. For the transshipment strategy, by adding the loss rate index optimized by the normalized transshipment number factor, the transfer scheme with the least loss is established based on the dynamic programming strategy, and the optimal transshipment strategy is obtained.
{"title":"Research on Product ordering and Transit Scheme based on PCA and Multi-objective programming","authors":"Jiaxin Wang, Hongsheng Zhou, Fanru Ouyang, Yu Shi","doi":"10.1109/ICCSMT54525.2021.00111","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00111","url":null,"abstract":"Due to the long order lead time of the construction and decoration plate production enterprises, the suppliers often fail to deliver the goods in time, which affects the production of the enterprises. At the same time, the overall inventory of the supply chain occupies a large scale, and the capital turnover pressure of plate enterprises is great. First of all, this paper selects the relevant indicators and makes a quantitative analysis of each index with the help of PCA method, and quantifies the order satisfaction rate, supply variance and supply mean. Then this paper uses the principal component analysis PCA method to determine the weight of the above three indicators, in which the order satisfaction rate accounts for the largest weight. On this basis, the quantitative evaluation index system of supplier guarantee enterprise production is established, and the top 50 most important suppliers are solved. This paper constructs the quantitative index system of supplier guarantee enterprise production and the minimum loss of transporters, gives the solution of the optimal supplier and transporter, and sets up the most economical ordering strategy and transshipment strategy. Then the minimum number of transshipment merchants is solved by 0-1 model, and it is found that at least 17 enterprises can meet the demand of production. We establish the most economical raw material ordering strategy based on multi-objective programming model. For the transshipment strategy, by adding the loss rate index optimized by the normalized transshipment number factor, the transfer scheme with the least loss is established based on the dynamic programming strategy, and the optimal transshipment strategy is obtained.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"11 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":"128474654","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}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00122
Aiya Li
This paper analyzes the complex organizational relationships of heterogeneous entities in cross-border payment, innovatively designs cross-border payment models, and builds a cross-border payment alliance chain system architecture and mechanism based on blockchain and digital currency. ABM (Agent-based modeling) simulation analysis analyzes the risk prevention capabilities of the alliance chain system established in this article from the perspective of dynamic models and realizes the efficiency improvement of the whole process of the cross-border payment system and the refined supervision of risks.
{"title":"Research on the Construction of Cross-border Payment System Based on Blockchain","authors":"Aiya Li","doi":"10.1109/ICCSMT54525.2021.00122","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00122","url":null,"abstract":"This paper analyzes the complex organizational relationships of heterogeneous entities in cross-border payment, innovatively designs cross-border payment models, and builds a cross-border payment alliance chain system architecture and mechanism based on blockchain and digital currency. ABM (Agent-based modeling) simulation analysis analyzes the risk prevention capabilities of the alliance chain system established in this article from the perspective of dynamic models and realizes the efficiency improvement of the whole process of the cross-border payment system and the refined supervision of risks.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"56 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":"128621870","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}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00074
Yu Sun, Wenkai Liu, Xinghai Hou, Fukun Bi
With the development of artificial intelligence technology, remote sensing target detection has gradually become a hot issue in the field of computer vision, which can be widely used in navigation, exploration, disaster warning, etc., and it has important research significance and application value for remote sensing target detection. However, the scale difference of remote sensing targets makes detection very difficult. Therefore, we propose a feature re-fusion network based on YOLO-FRN-YOLO. Based on the original three detection layers of YOLO, by re-fusing the features of the three output layers of the backbone, each feature layer can be deeply combined with The semantic information before sampling or after sampling, and the depth of the detection layer after feature re-fusion retains the semantic information of targets of different scales, and improves the detection ability of targets of different scales. The results show that on the RSOD datasets, the average precision of our method exceeds YOLOv3, and it is also better than other advanced networks.
{"title":"FRN-YOLO: A Feature Re-fusion Network for Remote Sensing Target Detection","authors":"Yu Sun, Wenkai Liu, Xinghai Hou, Fukun Bi","doi":"10.1109/ICCSMT54525.2021.00074","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00074","url":null,"abstract":"With the development of artificial intelligence technology, remote sensing target detection has gradually become a hot issue in the field of computer vision, which can be widely used in navigation, exploration, disaster warning, etc., and it has important research significance and application value for remote sensing target detection. However, the scale difference of remote sensing targets makes detection very difficult. Therefore, we propose a feature re-fusion network based on YOLO-FRN-YOLO. Based on the original three detection layers of YOLO, by re-fusing the features of the three output layers of the backbone, each feature layer can be deeply combined with The semantic information before sampling or after sampling, and the depth of the detection layer after feature re-fusion retains the semantic information of targets of different scales, and improves the detection ability of targets of different scales. The results show that on the RSOD datasets, the average precision of our method exceeds YOLOv3, and it is also better than other advanced networks.","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":"128701126","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}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00120
Yihan Li, Xin Zhang
In order to evaluate the innovation ability of high-tech industries in the Yangtze River Delta, this paper selects the relevant data of three provinces and one city, establishes an evaluation index system from three aspects: innovation input capacity, innovation output capacity and innovation environment capacity, and uses Entropy Weight-TOPSIS method to evaluate. The results show that there are obvious differences between the innovation ability of the Yangtze River Delta Economic Belt and the innovation ability of three provinces and one city, and the industrial development is in a state of moderate imbalance. The study shows that the high-tech industries in the Yangtze River Delta Economic Belt needs to further strengthen industrial cooperation and sharing, complement the advantages of innovative resources, promote the optimization and upgrading of industrial structure, and improve the innovation capability of high-tech industries in the Yangtze River Delta.
{"title":"Research on the evaluation of innovation ability of high-tech industry from the perspective of integrated development of Yangtze River Delta Based on Entropy Weight-TOPSIS Method","authors":"Yihan Li, Xin Zhang","doi":"10.1109/ICCSMT54525.2021.00120","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00120","url":null,"abstract":"In order to evaluate the innovation ability of high-tech industries in the Yangtze River Delta, this paper selects the relevant data of three provinces and one city, establishes an evaluation index system from three aspects: innovation input capacity, innovation output capacity and innovation environment capacity, and uses Entropy Weight-TOPSIS method to evaluate. The results show that there are obvious differences between the innovation ability of the Yangtze River Delta Economic Belt and the innovation ability of three provinces and one city, and the industrial development is in a state of moderate imbalance. The study shows that the high-tech industries in the Yangtze River Delta Economic Belt needs to further strengthen industrial cooperation and sharing, complement the advantages of innovative resources, promote the optimization and upgrading of industrial structure, and improve the innovation capability of high-tech industries in the Yangtze River Delta.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"18 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":"114067343","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}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00044
Jin Ran, Xingqi Cheng
Due to the increasingly significant competition inside and outside the aviation industry, airlines choose to conduct personalized sales to passengers for the purpose of increasing economic efficiency. In this paper, we select airlines customer information data during the period from 2012 to 2014, segment the value of air customers based on the LRFMC model and K-means algorithm. Then establish an airline customer churn prediction model, define churn customers, select characteristics, train SVM, Adaboost, RandomForest and Xgboost models, and then identify churn customers. Finally, the four models are compared and the optimal model is obtained. This article aims to classify airline customers so that airlines can adopt different marketing strategies for customers of different values to maximize profits. Improve the problem of customer churn, enable airlines to maintain their own markets, and bring high profits to airlines.
{"title":"Airline Customer Value Analysis and Customer Churn Prediction Based on LRFMC Model and K-means Algorithm","authors":"Jin Ran, Xingqi Cheng","doi":"10.1109/ICCSMT54525.2021.00044","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00044","url":null,"abstract":"Due to the increasingly significant competition inside and outside the aviation industry, airlines choose to conduct personalized sales to passengers for the purpose of increasing economic efficiency. In this paper, we select airlines customer information data during the period from 2012 to 2014, segment the value of air customers based on the LRFMC model and K-means algorithm. Then establish an airline customer churn prediction model, define churn customers, select characteristics, train SVM, Adaboost, RandomForest and Xgboost models, and then identify churn customers. Finally, the four models are compared and the optimal model is obtained. This article aims to classify airline customers so that airlines can adopt different marketing strategies for customers of different values to maximize profits. Improve the problem of customer churn, enable airlines to maintain their own markets, and bring high profits to airlines.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"67 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":"116345280","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}
Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00110
Hongyi Lan, Jiarao Liu, Zhong Yu, Shuqi Zi
Venture capital network reveals co-investment relationships between investors. The comprehensive analysis of its structure could not only detect the investment preference of each investor, but also uncover some hidden patterns within their cooperation's engagement. In this paper, we construct two networks-one directed and another undirected-with nodes as investors and edges as their collaboration relationships to analyze the investor networks from different perspectives. We first analyze two networks based on conventional techniques from graph theory such as community detection and PageRank centrality and obtain some interesting findings concerning the patterns of decision-making and each investor's prestige. Given such indicative discovery, we also attempt to predict investors' characteristics with Graph Convolutional Network (GCN) and Personalized Propagation of Neural Predictions (PPNP) by encoding each investor's information into a vector embedding. The results once again display the power and advantages of these two emerging neural networks, and it would also facilitate further research and analysis.
{"title":"Analysis and Prediction of Venture Capital Network","authors":"Hongyi Lan, Jiarao Liu, Zhong Yu, Shuqi Zi","doi":"10.1109/ICCSMT54525.2021.00110","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00110","url":null,"abstract":"Venture capital network reveals co-investment relationships between investors. The comprehensive analysis of its structure could not only detect the investment preference of each investor, but also uncover some hidden patterns within their cooperation's engagement. In this paper, we construct two networks-one directed and another undirected-with nodes as investors and edges as their collaboration relationships to analyze the investor networks from different perspectives. We first analyze two networks based on conventional techniques from graph theory such as community detection and PageRank centrality and obtain some interesting findings concerning the patterns of decision-making and each investor's prestige. Given such indicative discovery, we also attempt to predict investors' characteristics with Graph Convolutional Network (GCN) and Personalized Propagation of Neural Predictions (PPNP) by encoding each investor's information into a vector embedding. The results once again display the power and advantages of these two emerging neural networks, and it would also facilitate further research and analysis.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"6 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":"124345005","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}
An accurate forecast of Neijiang's regional gross domestic product is vital important for the construction of the Chengdu-Chongqing economic circle to some extent. In this work, a new grey model is proposed and applied to the regional gross domestic product of Neijiang city. The Neijiang city is in a superior geographical position in the construction of Chengdu-Chongqing economic circle. In this paper, firstly a discrete grey prediction model with hyperbolic sine driving term is proposed based on the corresponding continuous model. Secondly, the recursive function of the discrete model is deduced through the recursive formula, and then the parameter values of the model are calculated by the least square method. Finally, the trend of the regional gross domestic product of Neijiang city is predicted by the new model along with other forecasting models. By comparing results of these models, it is proved that the grey discrete model with hyperbolic sine driving term has higher accuracy.
{"title":"A novel discrete grey model with hyperbolic sinusoidal term and its applications of the regional gross domestic product forecasting","authors":"Xue-yong Tian, Hui Zhang, Yi Yang, Wenqing Wu, Peng Zhang, Gaoxun Zhang","doi":"10.1109/ICCSMT54525.2021.00011","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00011","url":null,"abstract":"An accurate forecast of Neijiang's regional gross domestic product is vital important for the construction of the Chengdu-Chongqing economic circle to some extent. In this work, a new grey model is proposed and applied to the regional gross domestic product of Neijiang city. The Neijiang city is in a superior geographical position in the construction of Chengdu-Chongqing economic circle. In this paper, firstly a discrete grey prediction model with hyperbolic sine driving term is proposed based on the corresponding continuous model. Secondly, the recursive function of the discrete model is deduced through the recursive formula, and then the parameter values of the model are calculated by the least square method. Finally, the trend of the regional gross domestic product of Neijiang city is predicted by the new model along with other forecasting models. By comparing results of these models, it is proved that the grey discrete model with hyperbolic sine driving term has higher accuracy.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"13 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":"124497419","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}
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