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/ICCSMT54525.2021.00079
Jie Cen, J. Li
General purpose technology (hereinafter referred to as “GPT”) is an important engine for the transformation and upgrading of China's traditional industries and the cultivation of strategic emerging industries. GPT breakthroughs can drive the technological upgrading of multiple industries and form the country's leading advantage in key technology fields. So, what factors will affect the GPT performance of firms? Taking strategic emerging industry enterprises as firms, this paper analyzes the impact of knowledge breadth and knowledge depth on GPT R&D and spillover.
{"title":"The influence of knowledge breadth and knowledge depth on general purpose technology R&D and Spillover","authors":"Jie Cen, J. Li","doi":"10.1109/ICCSMT54525.2021.00079","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00079","url":null,"abstract":"General purpose technology (hereinafter referred to as “GPT”) is an important engine for the transformation and upgrading of China's traditional industries and the cultivation of strategic emerging industries. GPT breakthroughs can drive the technological upgrading of multiple industries and form the country's leading advantage in key technology fields. So, what factors will affect the GPT performance of firms? Taking strategic emerging industry enterprises as firms, this paper analyzes the impact of knowledge breadth and knowledge depth on GPT R&D and spillover.","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":"114687865","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}
Based on the main factors affecting the consumption of Chinese residents, this paper analyzes the mechanism of the influence of per capita disposable income, tax and GDP of urban residents on the consumption of Chinese residents. It uses regression analysis, economic significance test, statistical test, econometric test (multicollinearity, autocorrelation, heteroscedasticity), and through relevant correction, the final model is determined, and the final conclusion is obtained The disposable income of the people and the disposable income of rural residents have a significant positive impact on consumption, and the relevant policy recommendations are given.
{"title":"Econometric Analysis of Chinese Urban Residents' Consumption Based on Regression Analysis","authors":"Ying Zhong, Jiawei Yao, Yan Xu, Zhirui Zhou, Yuqing Xiao, Qiyu Gu","doi":"10.1109/ICCSMT54525.2021.00061","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00061","url":null,"abstract":"Based on the main factors affecting the consumption of Chinese residents, this paper analyzes the mechanism of the influence of per capita disposable income, tax and GDP of urban residents on the consumption of Chinese residents. It uses regression analysis, economic significance test, statistical test, econometric test (multicollinearity, autocorrelation, heteroscedasticity), and through relevant correction, the final model is determined, and the final conclusion is obtained The disposable income of the people and the disposable income of rural residents have a significant positive impact on consumption, and the relevant policy recommendations are given.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"140 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":"116511013","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/ICCSMT54525.2021.00047
Wenbo Ye
The machine learning method has been used in stock price prediction for a long time, and the price of cryptocurrencies such as bitcoin has attracted more and more attention in recent years. This paper aims to improve the method applicable to the stock market and try to use it in cryptocurrency price prediction. A simple three-layered feedforward artificial neural networks (ANN) model was applied in this paper to predict the daily directions of cryptocurrency prices. The historical trading data of Bitcoin, Ethereum, and Cardano were used in the experiments. Nine selected technical indicators were preprocessed into discrete trend data, and they were input into the model together with three additional indicators for training. This study has preliminarily obtained an effective result with price prediction accuracy of the three cryptocurrencies between 61% and 65%.
{"title":"Predicting Price Direction of Cryptocurrency Using Artificial Neural Networks","authors":"Wenbo Ye","doi":"10.1109/ICCSMT54525.2021.00047","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00047","url":null,"abstract":"The machine learning method has been used in stock price prediction for a long time, and the price of cryptocurrencies such as bitcoin has attracted more and more attention in recent years. This paper aims to improve the method applicable to the stock market and try to use it in cryptocurrency price prediction. A simple three-layered feedforward artificial neural networks (ANN) model was applied in this paper to predict the daily directions of cryptocurrency prices. The historical trading data of Bitcoin, Ethereum, and Cardano were used in the experiments. Nine selected technical indicators were preprocessed into discrete trend data, and they were input into the model together with three additional indicators for training. This study has preliminarily obtained an effective result with price prediction accuracy of the three cryptocurrencies between 61% and 65%.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"35 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":"123375374","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/ICCSMT54525.2021.00065
Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Zehao Tang, Z. Xiong
We propose the Part-based Recurrent Multi-view Aggregation network(PREMA) to eliminate the detrimental effects of the practical view defects, such as insufficient view numbers, occlusions or background clutters, and also enhance the discriminative ability of shape representations. Inspired by the fact that human recognize an object mainly by its discriminant parts, we define the multi-view coherent part(MCP), a discriminant part reoccurring in different views. Our PREMA can reliably locate and effectively utilize MCPs to build robust shape representations. Comprehensively, we design a novel Regional Attention Unit(RAU) in PREMA to compute the confidence map for each view, and extract MCPs by applying those maps to view features. PREMA accentuates MCPs via correlating features of different views, and aggregates the part-aware features for shape representation. Finally, we show extensive evaluations to demonstrate that our method achieves the state-of-the-art accuracy for 3D shape retrieval on ModelNet-40 and ShapeNetCore-55 datasets.
提出了基于部分的循环多视图聚合网络(PREMA)，以消除实际视图缺陷(如视图数不足、遮挡或背景杂波)的不利影响，并增强形状表示的判别能力。受人类主要通过物体的判别部分来识别物体的启发，我们定义了多视图连贯部分(multi-view coherent part, MCP)，即在不同视图中重复出现的判别部分。我们的PREMA可以可靠地定位和有效地利用mcp来构建鲁棒的形状表示。综合而言，我们在PREMA中设计了一种新的区域注意单元(Regional Attention Unit, RAU)来计算每个视图的置信度图，并通过将这些图应用于视图特征来提取mcp。PREMA通过关联不同视图的特征来强调mcp，并将部件感知特征聚合在一起进行形状表示。最后，我们进行了广泛的评估，以证明我们的方法在ModelNet-40和ShapeNetCore-55数据集上实现了最先进的3D形状检索精度。
{"title":"PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval","authors":"Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Zehao Tang, Z. Xiong","doi":"10.1109/ICCSMT54525.2021.00065","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00065","url":null,"abstract":"We propose the Part-based Recurrent Multi-view Aggregation network(PREMA) to eliminate the detrimental effects of the practical view defects, such as insufficient view numbers, occlusions or background clutters, and also enhance the discriminative ability of shape representations. Inspired by the fact that human recognize an object mainly by its discriminant parts, we define the multi-view coherent part(MCP), a discriminant part reoccurring in different views. Our PREMA can reliably locate and effectively utilize MCPs to build robust shape representations. Comprehensively, we design a novel Regional Attention Unit(RAU) in PREMA to compute the confidence map for each view, and extract MCPs by applying those maps to view features. PREMA accentuates MCPs via correlating features of different views, and aggregates the part-aware features for shape representation. Finally, we show extensive evaluations to demonstrate that our method achieves the state-of-the-art accuracy for 3D shape retrieval on ModelNet-40 and ShapeNetCore-55 datasets.","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":"121531140","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/ICCSMT54525.2021.00109
Xin-an Fan
The charity management system is a vital information management system. the information must be entirely open for society, and anyone has the right to supervise. Therefore, we use the characteristics of the blockchain to be tamper-proof, decentralized, autonomous, observable, verifiable, and information-sharing to develop a secure and robust charity information management system. Use the ring signature mechanism to protect the privacy of supervisors. A charity contract system was developed based on the Ethereum experimental environment, code the traditional charity text contract, storage and execution of contracts both are on the blockchain, which ensures the autonomy and reliability of the charity project and the trustworthiness and credibility. Our system is a novel innovation that can succeed the traditional public platform for charity.
{"title":"Charity Supervision Management System Based on Blockchain","authors":"Xin-an Fan","doi":"10.1109/ICCSMT54525.2021.00109","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00109","url":null,"abstract":"The charity management system is a vital information management system. the information must be entirely open for society, and anyone has the right to supervise. Therefore, we use the characteristics of the blockchain to be tamper-proof, decentralized, autonomous, observable, verifiable, and information-sharing to develop a secure and robust charity information management system. Use the ring signature mechanism to protect the privacy of supervisors. A charity contract system was developed based on the Ethereum experimental environment, code the traditional charity text contract, storage and execution of contracts both are on the blockchain, which ensures the autonomy and reliability of the charity project and the trustworthiness and credibility. Our system is a novel innovation that can succeed the traditional public platform for charity.","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":"129861739","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/ICCSMT54525.2021.00077
Haiyan Lv, Yizhi Kang, Shanshan Zhang
Guangzhou Conghua is very rich in tourism resources. Many beautiful rural tourism routes and a variety of tourism products have effectively promoted the healthy development of the village economy. In this paper, the dispatching algorithm for controlling the capacity of tourists in tourist attractions is used, combined with the humanistic environment, social security situation and natural scenery perception to estimate the tourists' travel choices. In order to improve the satisfaction of tourists, the tourism supporting facilities and service conditions of scenic spots need to control tourism demand. Therefore, the best tourism plan is selected to achieve the balance of supply and demand and realize the coordinated development of scenic spots, tourists and village economies.
{"title":"Research on Tourist Attractions Control Recommendation Scheme Based on User Perception: Take Guangzhou's Conghua tourist attractions as an example","authors":"Haiyan Lv, Yizhi Kang, Shanshan Zhang","doi":"10.1109/ICCSMT54525.2021.00077","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00077","url":null,"abstract":"Guangzhou Conghua is very rich in tourism resources. Many beautiful rural tourism routes and a variety of tourism products have effectively promoted the healthy development of the village economy. In this paper, the dispatching algorithm for controlling the capacity of tourists in tourist attractions is used, combined with the humanistic environment, social security situation and natural scenery perception to estimate the tourists' travel choices. In order to improve the satisfaction of tourists, the tourism supporting facilities and service conditions of scenic spots need to control tourism demand. Therefore, the best tourism plan is selected to achieve the balance of supply and demand and realize the coordinated development of scenic spots, tourists and village economies.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"159 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":"127421406","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/ICCSMT54525.2021.00062
Yehui Xie, Sun Yu, Ziyang Huang
Because of its complex working environment, most coal mines take belt conveyor as the main transportation equipment. However, in the process of transportation, due to long-time and high-intensity operation, the belt is very easy to be damaged by gangue, iron and other foreign matters doped in coal, resulting in unnecessary losses. Foreign objects in the process of belt transportation can be effectively identified by machine vision. This is of great significance to ensure coal mine safety production, improve transportation efficiency and increase enterprise income.
{"title":"Foreign matter detection of coal conveying belt based on machine vision","authors":"Yehui Xie, Sun Yu, Ziyang Huang","doi":"10.1109/ICCSMT54525.2021.00062","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00062","url":null,"abstract":"Because of its complex working environment, most coal mines take belt conveyor as the main transportation equipment. However, in the process of transportation, due to long-time and high-intensity operation, the belt is very easy to be damaged by gangue, iron and other foreign matters doped in coal, resulting in unnecessary losses. Foreign objects in the process of belt transportation can be effectively identified by machine vision. This is of great significance to ensure coal mine safety production, improve transportation efficiency and increase enterprise income.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"8 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":"114191873","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/ICCSMT54525.2021.00037
Lisheng Chen, Tianxiang Xie, Yifei Song, Meiqi Wang
This paper mainly aims at the defects of existing pricing schemes to establish a more reasonable pricing system, and excavate the information contained in big data through the sorting of big data. Firstly, this paper analyzes and screens the data. Through correlation analysis, it is found that the pricing scheme only refers to the variables reflecting the distribution density of members, such as the number and distance of members near the target task, but lacks consideration of other variables, especially the reputation of nearby members, Therefore, the reason why a large number of tasks have not been completed is that the pricing scheme of the decision-maker is relatively one-sided, the factors considered only involve the density of the distribution of members, and the lack of consideration of other factors such as members' reputation and members' scheduled task quota. Then, this paper establishes the distance pricing model and the distance and number pricing model; Based on the above two models, a distance and reputation coefficient pricing model based on the number of people grouping is established. Compared with the original scheme, this model scheme considers the reputation value of nearby members and other factors, which is more reliable, and has the advantages of low pricing and high task acceptance.
{"title":"Research on Distance and Reputation Coefficient - Pricing Model Based on Population Grouping","authors":"Lisheng Chen, Tianxiang Xie, Yifei Song, Meiqi Wang","doi":"10.1109/ICCSMT54525.2021.00037","DOIUrl":"https://doi.org/10.1109/ICCSMT54525.2021.00037","url":null,"abstract":"This paper mainly aims at the defects of existing pricing schemes to establish a more reasonable pricing system, and excavate the information contained in big data through the sorting of big data. Firstly, this paper analyzes and screens the data. Through correlation analysis, it is found that the pricing scheme only refers to the variables reflecting the distribution density of members, such as the number and distance of members near the target task, but lacks consideration of other variables, especially the reputation of nearby members, Therefore, the reason why a large number of tasks have not been completed is that the pricing scheme of the decision-maker is relatively one-sided, the factors considered only involve the density of the distribution of members, and the lack of consideration of other factors such as members' reputation and members' scheduled task quota. Then, this paper establishes the distance pricing model and the distance and number pricing model; Based on the above two models, a distance and reputation coefficient pricing model based on the number of people grouping is established. Compared with the original scheme, this model scheme considers the reputation value of nearby members and other factors, which is more reliable, and has the advantages of low pricing and high task acceptance.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"115 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":"123458379","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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