Pub Date : 2021-11-01DOI: 10.1109/ICCSMT54525.2021.00102
M. Xing, Lei Huang
With the development of information technology in the new era and the continuous improvement of China's international status, the market competition pressure is increasingly fierce. For enterprises, the favorable competitive position and core advantages are particularly important. As the gateway of national foreign trade, if the port wants to provide better products and services, it must cater to the complex and changeable international and information market environment, accelerate the more advanced and scientific information process, and improve its competitiveness. In this paper, we from the perspective of the business process of the bulk cargo business system, analyzing the current barge operation system of Guangzhou port. We take the needs of port staff and customers as the starting point, find the current business process deficiencies, and improve and optimize. Finally, it is applied to Guangzhou port bulk cargo business system, which can be used stably and meet the business needs.
{"title":"Analysis and optimization of barge operation process of bulk cargo business system in port","authors":"M. Xing, Lei Huang","doi":"10.1109/ICCSMT54525.2021.00102","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00102","url":null,"abstract":"With the development of information technology in the new era and the continuous improvement of China's international status, the market competition pressure is increasingly fierce. For enterprises, the favorable competitive position and core advantages are particularly important. As the gateway of national foreign trade, if the port wants to provide better products and services, it must cater to the complex and changeable international and information market environment, accelerate the more advanced and scientific information process, and improve its competitiveness. In this paper, we from the perspective of the business process of the bulk cargo business system, analyzing the current barge operation system of Guangzhou port. We take the needs of port staff and customers as the starting point, find the current business process deficiencies, and improve and optimize. Finally, it is applied to Guangzhou port bulk cargo business system, which can be used stably and meet the business needs.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"38 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":"133660679","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/ICCSMT54525.2021.00069
Xiaolu Jiang, Bin Chen
This paper establishes a comprehensive evaluation model based on entropy weight method and grey correlation analysis method, quantifies the importance of each supplier to the enterprise, and finally gives the ordering and transportation plan of the enterprise in the next 24 weeks. Firstly, four indicators reflecting the characteristics of suppliers are mined based on the order quantity and supply quantity. Then the entropy weight method is used to calculate the weight of each index, and the two methods of normalization, weighting and grey correlation analysis are directly quantified respectively to obtain the most important 50 suppliers. After comparison, it is found that the 5-year supply quantity of suppliers obtained by the entropy-grey correlation analysis model is 4302,643m3, accounting for 97.79% of the total supply quantity of 204 suppliers, which is 3.3% better than the result obtained by direct entropy weight method. Then, the supply quantity of the next 24 weeks is obtained through the time series prediction model and statistical analysis method, and the minimum number of suppliers is 37, as well as the corresponding ordering and transportation plan of the next 24 weeks, and the plan is analyzed through visualization.
{"title":"Research on Enterprise Optimization Scheme based on Grey Correlation Entropy Weight Method and Multi-Objective Programming","authors":"Xiaolu Jiang, Bin Chen","doi":"10.1109/ICCSMT54525.2021.00069","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00069","url":null,"abstract":"This paper establishes a comprehensive evaluation model based on entropy weight method and grey correlation analysis method, quantifies the importance of each supplier to the enterprise, and finally gives the ordering and transportation plan of the enterprise in the next 24 weeks. Firstly, four indicators reflecting the characteristics of suppliers are mined based on the order quantity and supply quantity. Then the entropy weight method is used to calculate the weight of each index, and the two methods of normalization, weighting and grey correlation analysis are directly quantified respectively to obtain the most important 50 suppliers. After comparison, it is found that the 5-year supply quantity of suppliers obtained by the entropy-grey correlation analysis model is 4302,643m3, accounting for 97.79% of the total supply quantity of 204 suppliers, which is 3.3% better than the result obtained by direct entropy weight method. Then, the supply quantity of the next 24 weeks is obtained through the time series prediction model and statistical analysis method, and the minimum number of suppliers is 37, as well as the corresponding ordering and transportation plan of the next 24 weeks, and the plan is analyzed through visualization.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"267 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":"124332878","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/ICCSMT54525.2021.00038
Weiming Sun, Yiwei Zhu, Qiyun Hu
In the Internet financial industry, it is of great significance to the user's credit default risk management, but the traditional machine learning model has low prediction accuracy. This paper proposes a two-stage credit default identification model based on BP-RF (Back Propagation Neural Network with Random Forest). Firstly, the feature of transaction data is extracted automatically by constructing the neural network, and then classified and predicted by the random forest algorithm. The model is verified with millions of data sets provided by the lending club. The results show that the model has better performance than the traditional model, with an accuracy of 95.1%, AUC index of 89.0% and ACC index of 93.1%, which proves that the model is more suitable for the field of credit default prediction.
{"title":"Study on Credit Default Risk Prediction Model Based on BP-RF Neural Network","authors":"Weiming Sun, Yiwei Zhu, Qiyun Hu","doi":"10.1109/ICCSMT54525.2021.00038","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00038","url":null,"abstract":"In the Internet financial industry, it is of great significance to the user's credit default risk management, but the traditional machine learning model has low prediction accuracy. This paper proposes a two-stage credit default identification model based on BP-RF (Back Propagation Neural Network with Random Forest). Firstly, the feature of transaction data is extracted automatically by constructing the neural network, and then classified and predicted by the random forest algorithm. The model is verified with millions of data sets provided by the lending club. The results show that the model has better performance than the traditional model, with an accuracy of 95.1%, AUC index of 89.0% and ACC index of 93.1%, which proves that the model is more suitable for the field of credit default prediction.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"149 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":"121480342","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/ICCSMT54525.2021.00099
J. Yue, Mingyu Yue
In view of the facts that the traditional intangible assets value assessment method is not suitable for the evaluation of technical achievement value, the paper proposes a practical value evaluation method combined with the application of its nation characteristics based on big data analysis. The paper reviews technological achievements characteristics, the determinant factors of the evaluation, evaluation principles and existing problems. Evaluation standard system based on work breakdown structures is made, which is based on a large data query retrieval and mining analysis. Further the paper sets standard of data query and operation specification, and establishments technology achievements assessment network service platform based on the “Internet plus”. The paper offers an illustration of price of technological achievements evaluation auxiliary to the database related technology market price benchmarking value. Finally, through a large number of practical examples, the feasibility and practicability of the method are proved. This paper contributes to value evaluation of technological achievements theoretically and operation in the busilaness managerial implication.
{"title":"Research on Value Evaluation of Technological Achievements Based on Big Data Analysis","authors":"J. Yue, Mingyu Yue","doi":"10.1109/ICCSMT54525.2021.00099","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00099","url":null,"abstract":"In view of the facts that the traditional intangible assets value assessment method is not suitable for the evaluation of technical achievement value, the paper proposes a practical value evaluation method combined with the application of its nation characteristics based on big data analysis. The paper reviews technological achievements characteristics, the determinant factors of the evaluation, evaluation principles and existing problems. Evaluation standard system based on work breakdown structures is made, which is based on a large data query retrieval and mining analysis. Further the paper sets standard of data query and operation specification, and establishments technology achievements assessment network service platform based on the “Internet plus”. The paper offers an illustration of price of technological achievements evaluation auxiliary to the database related technology market price benchmarking value. Finally, through a large number of practical examples, the feasibility and practicability of the method are proved. This paper contributes to value evaluation of technological achievements theoretically and operation in the busilaness managerial implication.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"422 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":"115997481","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}
In the era of big data, sharing economy relies on the rapid development of data analysis and acquisition technology, and it also drives the fast growth of short-term rental housing in the sector of housing. In this process of development, there are many deteriorating management problems, such as infringement of rights, potential fire hazards and disclosure of privacy. The resulting conflicts and disputes, accidents, and the issues of the public safety become more and more serious. In the face of the chaos of the short-term rental housing industry, according to the sample statistics and Internet big data research, this paper plugged up the management loopholes in the short-term rental housing management from the perspective of joint construction, joint governance and shared benefits in the new era. In terms of method, this paper analyzed the data by constructing the integral model, took the safety risk issues existing in the daily operation of short-term rental housing as the index, and established the model of “quantitative integral early warning mode for abnormal problems of short-term rental housing”. Besides, it divided the risk of short-term rental housing into three levels, i.e. medium-low risk, high risk and tremendous risk, and carried out the corresponding risk classification management.
{"title":"Risk Ranking Governance Mechanism of Short-term Rental Housing Based on an Integral Early Warning Model in the Context of Big Data","authors":"Kaiqiao Yang, Yanling Deng, Zhushen Shao, Cheng Huang, Cheng Chen","doi":"10.1109/ICCSMT54525.2021.00022","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00022","url":null,"abstract":"In the era of big data, sharing economy relies on the rapid development of data analysis and acquisition technology, and it also drives the fast growth of short-term rental housing in the sector of housing. In this process of development, there are many deteriorating management problems, such as infringement of rights, potential fire hazards and disclosure of privacy. The resulting conflicts and disputes, accidents, and the issues of the public safety become more and more serious. In the face of the chaos of the short-term rental housing industry, according to the sample statistics and Internet big data research, this paper plugged up the management loopholes in the short-term rental housing management from the perspective of joint construction, joint governance and shared benefits in the new era. In terms of method, this paper analyzed the data by constructing the integral model, took the safety risk issues existing in the daily operation of short-term rental housing as the index, and established the model of “quantitative integral early warning mode for abnormal problems of short-term rental housing”. Besides, it divided the risk of short-term rental housing into three levels, i.e. medium-low risk, high risk and tremendous risk, and carried out the corresponding risk classification management.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"70 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":"117174802","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/ICCSMT54525.2021.00023
Jingzi He
This paper analyzes the 3D landscape model classification, combined with the digital campus 3D landscape modeling methods, including laser scanning system, 2DGIS modeling method, Arc GIS Engine modeling method, it studies the modeling process such as obtaining basic geographic data, data preprocessing, building landscape model, and matters needing attention in modeling, aiming at improving the cognitive level of 3D landscape modeling methods and enhancing the practical value of design schemes.
{"title":"Analysis and Application of Digital Campus 3D Landscape Modeling Method","authors":"Jingzi He","doi":"10.1109/ICCSMT54525.2021.00023","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00023","url":null,"abstract":"This paper analyzes the 3D landscape model classification, combined with the digital campus 3D landscape modeling methods, including laser scanning system, 2DGIS modeling method, Arc GIS Engine modeling method, it studies the modeling process such as obtaining basic geographic data, data preprocessing, building landscape model, and matters needing attention in modeling, aiming at improving the cognitive level of 3D landscape modeling methods and enhancing the practical value of design schemes.","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":"115770765","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/ICCSMT54525.2021.00020
M. Jiang
By analyzing the previous order quantity, supplier's supply quantity and transshipment homeopathy quantity, this paper designed the ordering scheme of raw materials for a building and decoration board manufacturer, and considered the transportation of raw materials. First of all, this paper finds four factors that affect suppliers: total supply quantity, supply times, supply satisfaction rate and average supply completion rate, determines the coefficient by AHP, and considers scoring, and selects 50 most important suppliers. Next, select the important suppliers from top to bottom, and order their historical maximum supply every week until the maximum production capacity is met. According to the order price, give priority to a and c, and reduce b. Finally, select materials with low loss and high transportation yield. Finally, the number of selected enterprises is increased, and the most Class A materials and the least Class C materials are purchased, so as to maximize the production capacity and minimize the losses while ensuring that one supplier is transported by only one forwarder.
{"title":"Research on Supply Chain Integrated Planning Model Based on Analytic Hierarchy Process and Optimization Theory","authors":"M. Jiang","doi":"10.1109/ICCSMT54525.2021.00020","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00020","url":null,"abstract":"By analyzing the previous order quantity, supplier's supply quantity and transshipment homeopathy quantity, this paper designed the ordering scheme of raw materials for a building and decoration board manufacturer, and considered the transportation of raw materials. First of all, this paper finds four factors that affect suppliers: total supply quantity, supply times, supply satisfaction rate and average supply completion rate, determines the coefficient by AHP, and considers scoring, and selects 50 most important suppliers. Next, select the important suppliers from top to bottom, and order their historical maximum supply every week until the maximum production capacity is met. According to the order price, give priority to a and c, and reduce b. Finally, select materials with low loss and high transportation yield. Finally, the number of selected enterprises is increased, and the most Class A materials and the least Class C materials are purchased, so as to maximize the production capacity and minimize the losses while ensuring that one supplier is transported by only one forwarder.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"36 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":"115319401","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/ICCSMT54525.2021.00057
Hao Yan, Dongfang Li
In the era of big data, how to effectively use the chaotic data in various carriers and organize it into a structured knowledge base is a popular research direction. Knowledge graph shows the concept and entity and their relationship in the objective world in the form of a graph, with the advantages of strong interpretability and high search efficiency, which has been paid high attention by researchers. Based on the scope of application of knowledge graph of defect detection software, the current status of knowledge graph in software field. Finally, combined with the unique characteristics of the field of aerospace FPGA software code, we summarize the difficulties and challenges faced, and propose some new solutions.
{"title":"Knowledge Graph Based on Defect Detection of Aerospace FPGA Software Code","authors":"Hao Yan, Dongfang Li","doi":"10.1109/ICCSMT54525.2021.00057","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00057","url":null,"abstract":"In the era of big data, how to effectively use the chaotic data in various carriers and organize it into a structured knowledge base is a popular research direction. Knowledge graph shows the concept and entity and their relationship in the objective world in the form of a graph, with the advantages of strong interpretability and high search efficiency, which has been paid high attention by researchers. Based on the scope of application of knowledge graph of defect detection software, the current status of knowledge graph in software field. Finally, combined with the unique characteristics of the field of aerospace FPGA software code, we summarize the difficulties and challenges faced, and propose some new solutions.","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":"126515298","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/ICCSMT54525.2021.00106
Yan Zhang, Ying Tan, Ruike Li, Wanxin Zhao
This paper based on Altmetrics big data platform, takes the annual Altmetrics TOPI00 papers in the Excellence Action Plan of China STM Journals as the research object. From the perspective of time evolution, it analysis the trends and changes of selected projects, journal distribution, domestic and foreign cooperation. It also uses the SciVal big data to explore the research topics. The research shows: (1) An important way for high Altmetrics papers to increase their influence is the media focus and reports. (2) In the long-term benign development process, domestic top journals have attracted the attention of many scholars in the world and the international media. It provided a good academic exchange platform for domestic scholars. (3) International social media mainly focuses on the climate environment, genetic technology, health and hygiene. It also focuses on two-dimensional nanomaterials, photocatalytic technology, quantum science and other emerging frontier fields.
{"title":"Analysis on the Evolution Characteristics of Papers in Chinese STM Journals - Based On Altmetrics and Scival Big Data","authors":"Yan Zhang, Ying Tan, Ruike Li, Wanxin Zhao","doi":"10.1109/ICCSMT54525.2021.00106","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00106","url":null,"abstract":"This paper based on Altmetrics big data platform, takes the annual Altmetrics TOPI00 papers in the Excellence Action Plan of China STM Journals as the research object. From the perspective of time evolution, it analysis the trends and changes of selected projects, journal distribution, domestic and foreign cooperation. It also uses the SciVal big data to explore the research topics. The research shows: (1) An important way for high Altmetrics papers to increase their influence is the media focus and reports. (2) In the long-term benign development process, domestic top journals have attracted the attention of many scholars in the world and the international media. It provided a good academic exchange platform for domestic scholars. (3) International social media mainly focuses on the climate environment, genetic technology, health and hygiene. It also focuses on two-dimensional nanomaterials, photocatalytic technology, quantum science and other emerging frontier fields.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"15 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":"124129537","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/ICCSMT54525.2021.00009
Juncheng Chen
With the rapid development of Internet technology, consumers have gradually become online shoppers. Push technology of user preferences are increasingly important. According to the user data of online shopping platform, this paper uses the user preference model to process the text data, obtains the correlation analysis between product reputation and user purchase success, and obtains the product rating index.
{"title":"Predicting the Future of the Products Based on User Preference Models and Rating Indicators","authors":"Juncheng Chen","doi":"10.1109/ICCSMT54525.2021.00009","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00009","url":null,"abstract":"With the rapid development of Internet technology, consumers have gradually become online shoppers. Push technology of user preferences are increasingly important. According to the user data of online shopping platform, this paper uses the user preference model to process the text data, obtains the correlation analysis between product reputation and user purchase success, and obtains the product rating index.","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":"121686531","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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