International Conference on Mathematics, Modeling and Computer Science最新文献

{"title":"The study on commercial bank's risk management behaviour with the innovation of its scientific and technological financial product by big data analysis algorithms","authors":"Dong-xue Shen, Weilun Huang","doi":"10.1117/12.2669983","DOIUrl":"https://doi.org/10.1117/12.2669983","url":null,"abstract":"With the in-depth development of global economic integration, the competition in the financial industry at home and abroad has become more and more severe, and the innovation of financial products has gradually become a new development trend in the financial industry. For commercial banks, strengthening the innovation of financial products can attract more customers, thus reaping more substantial income and maintaining an advantageous position in the market competition. However, in the process of financial product innovation of commercial banks, the financial risks are also increasing, and how to achieve effective management of financial product innovation risks has become one of the hot topics of concern in the field of commercial banks. This paper takes the study of risk management of technological, financial product innovation of commercial banks as an example, based on methods of big data analysis algorithms, analysis of correlation, analysis of effects, analysis of Variance and analysis of regression, through questionnaires and research results, literature review, to explore Commercial Bank’s Risk Management Behavior on the innovation of its scientific and technological financial product(CBRMB) and its influencing factors. Regarding CBRMB, It mainly describes the degree of its risk influence through the following two aspects, including the number of inspectors and research budget, and among the influencing factors research Commercial bank's Risk management (CBRM), Commercial bank's Human Resource management (CBHRM), Commercial Bank's supervision ability on its Financial product innovation (CBSA), Commercial Bank's Internal control system (CBICS), and Commercial Bank's Development of scientific and technological financial products (CBD). According to the regression model operation results, commercial banks can refer to the research recommendations and optimize their scientific and technological innovation and risk management, improve the problems in the risk system, and enhance the operational efficiency of commercial banks to promote the healthy development of the financial market.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126291424","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}

{"title":"Research on the algorithmic financial business operation of financial intelligence","authors":"Jiao Meng","doi":"10.1117/12.2670495","DOIUrl":"https://doi.org/10.1117/12.2670495","url":null,"abstract":"In the steady development of social economy, the technology theory with the computational intelligence method as the core is widely used in the financial business operation, based on artificial neural network and evolutionary algorithm for theoretical improvement and application innovation, can really achieve the development of financial intelligence. Intelligent finance, as an important link to accelerate industrial intelligent upgrading, has a large gap between its overall development level and that of developed countries, and scientific research institutions and industrial enterprises have not formed an ecosystem and industrial chain with international influence. Therefore, based on understanding the development status of financial business in China, this paper puts forward a network model based on SOM neural network, and the clustering simulation experiment analysis of listed companies in some region. The final results show that the research network model in this paper has stronger clustering ability, lower computational complexity, and faster convergence speed of practical work, which has a positive impact on the development of financial intelligence in the new era.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"72 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131673474","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}

{"title":"Application analysis of Internet of Things technology in civil engineering construction","authors":"Shuaicheng Luo","doi":"10.1117/12.2671214","DOIUrl":"https://doi.org/10.1117/12.2671214","url":null,"abstract":"In the development of urban construction, civil engineering construction as an important content to ensure the quality of urban construction, in the social economy and technological innovation and development, to combine the Internet of things technology innovation research, so as to improve the comprehensive level of civil engineering construction, but also to provide quality services for social residents. Due to the large investment scale of civil engineering construction projects, the overall design structure is relatively complex, which involves a lot of science and technology and discipline knowledge, so the application of Internet of Things technology for innovation and optimization, the requirements of relevant technical theories are extremely high. Therefore, based on the accumulated experience of civil engineering construction projects in recent years, this paper determines the basic principles and positive effects of Internet of things technology, and deeply studies how to apply Internet of Things technology in civil engineering construction, so as to promote the steady development of the construction industry.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"12625 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129721679","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}

{"title":"Research on prevention methods of database network security under the background of big data","authors":"Jiancheng Wang","doi":"10.1117/12.2670490","DOIUrl":"https://doi.org/10.1117/12.2670490","url":null,"abstract":"In the rapid development of information technology, our country society has entered the big data era, in order to effectively manage and mine the large batch data information, all walks of life begin to widely use database technology. The rapid development of the Internet provides an effective platform for data sharing for the majority of users, so that big data can truly realize data sharing according to an open attitude. However, because of the complexity of computer network environment and the imperfection of database security technology, the problem of database network security has become the main topic of discussion. Therefore, on the basis of understanding the research status and problems of database technology in the era of big data, this paper clarified the protection requirements of database network security in the era of big data, and proposed the corresponding key technologies of security protection, so as to provide basic guarantee for data sharing in various fields.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127606491","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}

{"title":"Online monitoring method for the whole life cycle of substation DC system based on Internet of Things","authors":"Shaobo Wang, Yang Bai, Lijun Chi, Xiaotong Xu, Shaoping Ding, Q. Xin","doi":"10.1117/12.2671716","DOIUrl":"https://doi.org/10.1117/12.2671716","url":null,"abstract":"Due to the safe operation of power system directly affects the construction and development of social economy, so in order to ensure that Chinese power industry substation can work normally, scientific research scholars put forward a combination of the basic theory of full life cycle in the practice of inquiry, integration and use of Internet of things technology to carry out online monitoring. In the development of theoretical innovation of Internet of things technology in our country, the application of it to online monitoring of transformer substation DC system can simplify the construction steps, optimize the monitoring intensity, and provide an effective basis for modern power industry substation. In this article, therefore, to understand the whole concept of life cycle and substation dc system, on the basis of according to the research progress in recent years, the application of Internet technology, deep discussion with the Internet of things as the core of the lifecycle of on-line monitoring system for substation dc system design, and start to discuss from the Angle of practice application value of the overall technology method.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134367915","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}

{"title":"Research on small building detection method based on convolutional neural network","authors":"Xingchen Wang","doi":"10.1117/12.2670482","DOIUrl":"https://doi.org/10.1117/12.2670482","url":null,"abstract":"As one of the main targets of remote sensing technology detection, how to automatically and efficiently extract small buildings from large quantities of data is the main problem of urban planning and construction. At present, although domestic and foreign scholars have made excellent achievements in the research of remote sensing technology, target detection and recognition and extraction cannot fully meet the actual needs because of the inconsistent structure types of small buildings and the complex environment. Therefore, on the basis of understanding the research status of building extraction and convolutional neural network, this paper compares and analyzes the traditional detection algorithm and the semantic segmentation method based on convolutional neural network. The final results show that the extraction results of small buildings are more accurate and meet the needs of current urban planning and construction.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"64 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132584099","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}

{"title":"Analysis of the application of agricultural big data in modern agriculture","authors":"Tonghui Lv, Hongwei Lv","doi":"10.1117/12.2671150","DOIUrl":"https://doi.org/10.1117/12.2671150","url":null,"abstract":"Nowadays, big data is widely used in many fields of society, which has strategic guiding significance for modern agricultural technology innovation. Under natural conditions, traditional agriculture uses manual labor, such as manpower, tools and animal power, and relies on the traditional development experience accumulated in The Times. The self-sufficient natural economy occupies a dominant position. With the continuous innovation and development of modern science and technology, the traditional agricultural economy has gradually transformed into the modern industrial economy and urban economy. The rational application of information technology in agricultural upgrading and transformation can accelerate the process of agricultural modernization and guarantee the sustainable goal of our social economic development. Therefore, on the basis of understanding the research status of modern agricultural technology, this paper deeply discusses how to apply the theory of agricultural big data technology in modern agriculture according to the implementation path of modern agricultural big data engineering.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114642662","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}

{"title":"Visual art graphic design based on image block theory","authors":"F. Peng, Min Wang","doi":"10.1117/12.2670425","DOIUrl":"https://doi.org/10.1117/12.2670425","url":null,"abstract":"Because the objective world of human life is composed of different shapes and sizes, compared with the study of regular Euclidean geometry, it presents the basic characteristics of irregular and bizarre, so the scientific research scholars in the innovation and development of art design, put forward the use of theoretical knowledge of computer. Therefore, from the perspective of visual art graphic design, this paper proposes three methods of image reconstruction by block. From the practical research results, it is more effective than using the compressed perception theory directly, and can control the reconstruction time.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128268437","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}

{"title":"Research on the application of American college classroom experience evaluation system based on computer virtual reality technology","authors":"Chen Lei, Xiao Kuai","doi":"10.1117/12.2669782","DOIUrl":"https://doi.org/10.1117/12.2669782","url":null,"abstract":"With the continuous development of computer virtual reality technology, in recent years, Chinese foreign students can learn more knowledge and multi-dimensional and multi-stage online open courses in the process of classroom experience in American universities. The traditional video playing system has been unable to meet the process of new college classroom learning. With the progress of computer virtual reality technology, Many college classroom learning processes can be reconstructed using computer modeling technology, so as to mine the student behavior data available in the teaching management system, and extract the key factors affecting students' academic performance. This computer system uses the method of machine learning virtual reality to analyze the meaning and predict the final score of students' courses. The experimental simulation shows that the system realizes the substantial equivalence of online and offline teaching, and promotes the good development of online teaching.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125063168","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}

{"title":"Research on cross-border e-commerce recommendation system based on collaborative filtering","authors":"Zijian Li","doi":"10.1117/12.2671183","DOIUrl":"https://doi.org/10.1117/12.2671183","url":null,"abstract":"In the modern economic innovation and development, cross-border e-commerce as a new business industry, the actual data scale began to expand sharply as e-commerce, system users are faced with information overload and other problems, so researchers put forward to develop a corresponding recommendation system. Nowadays, when studying the recommendation system of cross-border e-commerce, scholars from various countries not only put forward a variety of recommendation system models, but also achieved excellent results in practice and exploration. Since cross-border e-commerce contains entry and exit information of multiple types of commodities, it will be affected by various policies and regulations, and the special needs of recommendation systems need to be comprehensively considered. Therefore, the traditional collaborative filtering recommendation algorithm does not meet the needs of e-commerce industry in the new era. On the basis of understanding the research status of cross-border e-commerce recommendation system in recent years, this paper deeply discusses the structure of cross-border e-commerce promotion system based on collaborative filtering according to the basic concept of collaborative filtering algorithm. The final experimental results show that the improved collaborative filtering algorithm has more application value and good recommendation effect than the traditional collaborative filtering algorithm.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127332965","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}