Pub Date : 2021-04-01DOI: 10.1109/CBFD52659.2021.00035
Zhao Hongkai, Zhang Hao
The higher education system is an important part of the country’s education of citizens. In order to adapt to this trend, this paper establishes an evaluation model for the higher education system. The evaluation elements include the health and sustainability of the higher education system. We use this model to evaluate and predict the higher education system. Then, we propose practical policies and implementation schedule. Finally, we evaluate the effectiveness of the policy and possible difficulties.
{"title":"Application of BP Neural Network in Higher Education System","authors":"Zhao Hongkai, Zhang Hao","doi":"10.1109/CBFD52659.2021.00035","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00035","url":null,"abstract":"The higher education system is an important part of the country’s education of citizens. In order to adapt to this trend, this paper establishes an evaluation model for the higher education system. The evaluation elements include the health and sustainability of the higher education system. We use this model to evaluate and predict the higher education system. Then, we propose practical policies and implementation schedule. Finally, we evaluate the effectiveness of the policy and possible difficulties.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122421116","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 : 2021-04-01DOI: 10.1109/CBFD52659.2021.00060
Jiaogang Lin, Lu Liang
Under the new background of the rapid development of Internet technology in the information age, Internet technology and graphics and image processing technology have made unprecedented progress. In the process of development, it pointed out the development direction of electrical mode processing in the new era. Computer graphics in computer processing technology needs to be used more optimally, and its own research content involves a wide range of aspects. Its research content includes graphics and image visualization, standardization research, graphics modeling, and image interaction research. At present, China has entered the era of Internet technology development, and various needs and problems have arisen in the development process. At this stage, we should give full play to the application value of information technology in the Internet technology era in graphics and image processing. This article analyzes the structure and technical guarantee realization of technical improvement. The author first briefly explained the current necessity of paying attention to electrical mode processing, and then analyzed the construction content of the technical improvement of image information recognition. The author looks forward to the development prospects of technical improvement under the data detection system in the new era, and hopes to be helpful to the in-depth promotion of technical improvement in the next stage.
{"title":"Research on Key Technologies of Computer Graphics and Image Processing","authors":"Jiaogang Lin, Lu Liang","doi":"10.1109/CBFD52659.2021.00060","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00060","url":null,"abstract":"Under the new background of the rapid development of Internet technology in the information age, Internet technology and graphics and image processing technology have made unprecedented progress. In the process of development, it pointed out the development direction of electrical mode processing in the new era. Computer graphics in computer processing technology needs to be used more optimally, and its own research content involves a wide range of aspects. Its research content includes graphics and image visualization, standardization research, graphics modeling, and image interaction research. At present, China has entered the era of Internet technology development, and various needs and problems have arisen in the development process. At this stage, we should give full play to the application value of information technology in the Internet technology era in graphics and image processing. This article analyzes the structure and technical guarantee realization of technical improvement. The author first briefly explained the current necessity of paying attention to electrical mode processing, and then analyzed the construction content of the technical improvement of image information recognition. The author looks forward to the development prospects of technical improvement under the data detection system in the new era, and hopes to be helpful to the in-depth promotion of technical improvement in the next stage.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130621167","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 : 2021-04-01DOI: 10.1109/CBFD52659.2021.00077
Fan Zhang, Ye Ding
This article analyzes the basic concepts of supply chain finance, participating institutions, business methods, and exposure to risks. The author combined the basic content of the Internet of Things and block chain technology to carry out research. This paper studies the specific applications of the Internet of Things and block chain technology in supply chain financial risk identification, supply chain financial risk assessment, full-process logistics supervision, smart contract transaction management, corporate financial statement sorting, and risk prevention measures. The author's purpose is to improve the financial risk management level of the enterprise supply chain and promote the stable development of the enterprise economy.
{"title":"Research on the Application of Internet of Things and Block Chain Technology in Improving Supply Chain Financial Risk Management","authors":"Fan Zhang, Ye Ding","doi":"10.1109/CBFD52659.2021.00077","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00077","url":null,"abstract":"This article analyzes the basic concepts of supply chain finance, participating institutions, business methods, and exposure to risks. The author combined the basic content of the Internet of Things and block chain technology to carry out research. This paper studies the specific applications of the Internet of Things and block chain technology in supply chain financial risk identification, supply chain financial risk assessment, full-process logistics supervision, smart contract transaction management, corporate financial statement sorting, and risk prevention measures. The author's purpose is to improve the financial risk management level of the enterprise supply chain and promote the stable development of the enterprise economy.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134359464","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}
As a kind of financial asset, blockchain digital currency attracts investors' attention. Based on bitcoin price data and three kinds of stock market data, this paper constructs a second-order lag VAR model to test their influence mechanism. Conclusion: there is no causal relationship between bitcoin and stock market index. Verify the original hypothesis: bitcoin can better avoid market risk and has the property of market hedging assets. This paper makes a contribution to the cross study of special currency and financial market.
{"title":"Analysis of blockchain digital currency and market risk based on VAR","authors":"Yi Jing, Haiqi Li, Shuheng Ren, Yuan Wang, Chu-Min Huang, Leqi Xu","doi":"10.1109/CBFD52659.2021.00102","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00102","url":null,"abstract":"As a kind of financial asset, blockchain digital currency attracts investors' attention. Based on bitcoin price data and three kinds of stock market data, this paper constructs a second-order lag VAR model to test their influence mechanism. Conclusion: there is no causal relationship between bitcoin and stock market index. Verify the original hypothesis: bitcoin can better avoid market risk and has the property of market hedging assets. This paper makes a contribution to the cross study of special currency and financial market.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134536136","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}
The key challenge of remote sensing aircraft target (RSAT) recognition is that features generated by similar target are difficult to distinguish. To solve the problem, we present a double-triplet-pseudo-siamese (DTPS) architecture to learn to distinguish the subtle discriminative features between similar targets. Specifically, we first construct image triplet and mask triplet, which are then sent to the convolutional neural networks, fully connected layers and softmax sequentially for classification. Besides the classification predictions, we utilize standard templates for contrastive prediction in the test process and introduce a discriminative fusion method to fuse the multiple prediction. In addition, we utilize classification loss, contrast loss and triplet loss during training, which help the network to distinguish similar targets by metric learning. We conduct extensive experiments on benchmark RSAT datasets to demonstrate the effectiveness of our network and the experimental results show that the performance of the proposed method surpasses other existing methods.
{"title":"Double-Triplet-Pseudo-Siamese Architecture For Remote Sensing Aircraft Target Recognition","authors":"Xu Cao, H. Zou, Xinyi Ying, Runlin Li, Shitian He, Fei Cheng","doi":"10.1109/CBFD52659.2021.00034","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00034","url":null,"abstract":"The key challenge of remote sensing aircraft target (RSAT) recognition is that features generated by similar target are difficult to distinguish. To solve the problem, we present a double-triplet-pseudo-siamese (DTPS) architecture to learn to distinguish the subtle discriminative features between similar targets. Specifically, we first construct image triplet and mask triplet, which are then sent to the convolutional neural networks, fully connected layers and softmax sequentially for classification. Besides the classification predictions, we utilize standard templates for contrastive prediction in the test process and introduce a discriminative fusion method to fuse the multiple prediction. In addition, we utilize classification loss, contrast loss and triplet loss during training, which help the network to distinguish similar targets by metric learning. We conduct extensive experiments on benchmark RSAT datasets to demonstrate the effectiveness of our network and the experimental results show that the performance of the proposed method surpasses other existing methods.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114330058","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 : 2021-04-01DOI: 10.1109/CBFD52659.2021.00100
Mei Jin, Fan Li
Based on the hypothesis of bounded rationality and from the perspective of internal and external forces, this paper constructs an evolutionary game model between state-owned enterprises and external regulators, state-owned enterprise management and anti money laundering risk control department, and studies how to improve the internal control of state-owned enterprises. The results show that the supervision cost of regulators, the social benefits of strict supervision and the utility loss of loose supervision are the main factors that affect the improvement of the internal control system of anti money laundering of state-owned enterprises. In order to solve the connivance attitude of state-owned enterprises, it is necessary to combine punishment mechanism with incentive compensation mechanism, improve social supervision mechanism, and promote self-discipline of state-owned enterprises. These conclusions provide a theoretical reference for state-owned enterprises to improve the internal control of anti money laundering.
{"title":"Improvement of Internal Control of Anti Money Laundering in State-owned Enterprises Based on Evolutionary Game Analysis","authors":"Mei Jin, Fan Li","doi":"10.1109/CBFD52659.2021.00100","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00100","url":null,"abstract":"Based on the hypothesis of bounded rationality and from the perspective of internal and external forces, this paper constructs an evolutionary game model between state-owned enterprises and external regulators, state-owned enterprise management and anti money laundering risk control department, and studies how to improve the internal control of state-owned enterprises. The results show that the supervision cost of regulators, the social benefits of strict supervision and the utility loss of loose supervision are the main factors that affect the improvement of the internal control system of anti money laundering of state-owned enterprises. In order to solve the connivance attitude of state-owned enterprises, it is necessary to combine punishment mechanism with incentive compensation mechanism, improve social supervision mechanism, and promote self-discipline of state-owned enterprises. These conclusions provide a theoretical reference for state-owned enterprises to improve the internal control of anti money laundering.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114536953","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 : 2021-04-01DOI: 10.1109/CBFD52659.2021.00050
X. Mao
Investor sentiment is an important factor that affects investors' decision-making behaviors. Especially when the emotions are very social, people's behaviors will tend to be consistent, leading to market fluctuations. Some scholars tried to study the impact of investor sentiment on market return and volatility. However, they are not able to get a consistent result. This paper constructs an investor sentiment index (CICSI) by principal component analysis. Based on heterogeneous autoregressive (HAR) theory, this paper establishes three HAR models extended by CICSI to forecast the volatility of Shanghai Composite Index. The empirical results reveal that new models’ accuracy is higher than the original one. Data indicates that the decomposed CICSI contains much forecasting information on market volatility, especially in the short-term. By decomposing CICSI, the goodness of fit of the model was improved by 11.08%. This study fills in the gap of previous research by using high-frequency data and decompose investor sentiment. Further study can be applied to find more relative variables to extend the model and improve prediction accuracy.
{"title":"Forecast on Shanghai Composite Index linked with Investor Sentiment Effect","authors":"X. Mao","doi":"10.1109/CBFD52659.2021.00050","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00050","url":null,"abstract":"Investor sentiment is an important factor that affects investors' decision-making behaviors. Especially when the emotions are very social, people's behaviors will tend to be consistent, leading to market fluctuations. Some scholars tried to study the impact of investor sentiment on market return and volatility. However, they are not able to get a consistent result. This paper constructs an investor sentiment index (CICSI) by principal component analysis. Based on heterogeneous autoregressive (HAR) theory, this paper establishes three HAR models extended by CICSI to forecast the volatility of Shanghai Composite Index. The empirical results reveal that new models’ accuracy is higher than the original one. Data indicates that the decomposed CICSI contains much forecasting information on market volatility, especially in the short-term. By decomposing CICSI, the goodness of fit of the model was improved by 11.08%. This study fills in the gap of previous research by using high-frequency data and decompose investor sentiment. Further study can be applied to find more relative variables to extend the model and improve prediction accuracy.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114578179","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 : 2021-04-01DOI: 10.1109/CBFD52659.2021.00041
Lingling Mao, Dan Zhang, Yanwei Zhang
The issue of reducts is the basic issue in any rough set model. In the article, we present the notion of the reduct in a pythagorean fuzzy covering table (i.e., pythagorean fuzzy β-covering approximation space (PFCAS)). Moreover, we add and remove several objects of the universe to compute reducts of them. First, the definitions of the PFCAS and it’s reduct are presented. Then, two new PFCASs are proposed when we add and remove some objects from the original universe. Finally, several properties of reducts in pythagorean fuzzy (PF) β-coverings are studied while adding some objects.
{"title":"Reducts in Pythagorean Fuzzy Covering Table While Changing the Information","authors":"Lingling Mao, Dan Zhang, Yanwei Zhang","doi":"10.1109/CBFD52659.2021.00041","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00041","url":null,"abstract":"The issue of reducts is the basic issue in any rough set model. In the article, we present the notion of the reduct in a pythagorean fuzzy covering table (i.e., pythagorean fuzzy β-covering approximation space (PFCAS)). Moreover, we add and remove several objects of the universe to compute reducts of them. First, the definitions of the PFCAS and it’s reduct are presented. Then, two new PFCASs are proposed when we add and remove some objects from the original universe. Finally, several properties of reducts in pythagorean fuzzy (PF) β-coverings are studied while adding some objects.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123895328","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 : 2021-04-01DOI: 10.1109/CBFD52659.2021.00049
Gaohan Yu
As the degree of informatization in the financial industry continues to deepen, Internet technology is playing an increasingly important role in the collection and analysis of financial data. The use of Internet technology makes it possible to collect large-scale data and accurately analyze data. The large-capacity financial database puts forward higher requirements on the efficiency and accuracy of data analysis tools. As a new type of computer language, Python language can better complete the sniffing and collection of Internet resources, so that it can become an important tool for financial data collection and analysis. With the continuous development of science and technology, Python technology also has certain risks and problems. This article aims to analyze the key applications of Python in financial data analysis, and how to do a quantitative analysis of risks based on Python.
{"title":"Financial data analysis and risk quantification based on Python","authors":"Gaohan Yu","doi":"10.1109/CBFD52659.2021.00049","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00049","url":null,"abstract":"As the degree of informatization in the financial industry continues to deepen, Internet technology is playing an increasingly important role in the collection and analysis of financial data. The use of Internet technology makes it possible to collect large-scale data and accurately analyze data. The large-capacity financial database puts forward higher requirements on the efficiency and accuracy of data analysis tools. As a new type of computer language, Python language can better complete the sniffing and collection of Internet resources, so that it can become an important tool for financial data collection and analysis. With the continuous development of science and technology, Python technology also has certain risks and problems. This article aims to analyze the key applications of Python in financial data analysis, and how to do a quantitative analysis of risks based on Python.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122211153","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 : 2021-04-01DOI: 10.1109/CBFD52659.2021.00074
Tong Fuchao, Xiaoping Yan
With the emergence of the currency, as its underlying technology of block chain technology is becoming more and more attention. The technological innovation of block chain technology^ own decentralization and strong trust mechanism is consistent with the financial essence, which has injected new blood into the development of Internet finance, promoted the innovation of financial products, and strengthened the trend of mixed operation in the financial industry.At the same time, the current chain financial law regulation system seriously lagging behind the block chain of financial innovation. In block chain technology development, financial regulators need to reform the existing block chain legal supervision system, can fit new technology bring new regulatory requirements.
{"title":"Research on Problems in Financial Legal Supervision of Blockchain in China from the Perspective of Internet","authors":"Tong Fuchao, Xiaoping Yan","doi":"10.1109/CBFD52659.2021.00074","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00074","url":null,"abstract":"With the emergence of the currency, as its underlying technology of block chain technology is becoming more and more attention. The technological innovation of block chain technology^ own decentralization and strong trust mechanism is consistent with the financial essence, which has injected new blood into the development of Internet finance, promoted the innovation of financial products, and strengthened the trend of mixed operation in the financial industry.At the same time, the current chain financial law regulation system seriously lagging behind the block chain of financial innovation. In block chain technology development, financial regulators need to reform the existing block chain legal supervision system, can fit new technology bring new regulatory requirements.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123239848","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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