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Research on information security protection of civil aviation information network based on big data clustering algorithm 基于大数据聚类算法的民航信息网络信息安全防护研究
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671193
Chang-hua Lu
{"title":"Research on information security protection of civil aviation information network based on big data clustering algorithm","authors":"Chang-hua Lu","doi":"10.1117/12.2671193","DOIUrl":"https://doi.org/10.1117/12.2671193","url":null,"abstract":"In the gradual improvement of the Internet technology level, our social economic development gradually enters the information age, information technology is widely used in various industries, and has made excellent achievements in the practice of inquiry. Especially for the space field of our country, the extensive application of information technology can ensure the safety management and effective production of civil aviation, and gradually improve the security and stability of network information. Therefore, based on the understanding of the current development status of the civil aviation network information security, this paper discusses how to construct the civil aviation information network information security protection system according to the big data clustering algorithm, and puts forward effective protective measures, so as to promote the long-term development of civil aviation.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"98 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":"127242215","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}
引用次数: 0
Research on the relationship between brain signal analysis algorithm and invasive brain computer interface 脑信号分析算法与侵入式脑机接口的关系研究
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670405
Zhiyang Tian
{"title":"Research on the relationship between brain signal analysis algorithm and invasive brain computer interface","authors":"Zhiyang Tian","doi":"10.1117/12.2670405","DOIUrl":"https://doi.org/10.1117/12.2670405","url":null,"abstract":"In the innovation and development of modern science and technology, the cognition of human brain function is getting deeper and deeper, and it is integrated with other advanced technology theories. Among them, the most representative research field is brain-computer interface. According to the accumulated experience of practice, when people are planning to carry out a certain behavior, the brain will produce the corresponding physiological signals, and it is because of these physiological signals can reflect people's intention, and use the nervous system to control the muscle to achieve the human intention. When researching related technologies, researchers want to develop a system that can directly obtain the physiological signals of the human brain and convert them into control signals for direct external control. This system is called the brain-computer interface system. In this paper, based on the understanding of the development status of braincomputer interface system, the application performance of the system is comprehensively verified according to the system function and overall structure, and the EEG signal of the detected is analyzed by using Matlab software, and finally achieved a good accuracy.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"5 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":"129040976","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}
引用次数: 0
Underwater terrain monitoring and big data analysis under digital channel conditions 数字信道条件下水下地形监测与大数据分析
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670400
Yuanyuan Jiang
{"title":"Underwater terrain monitoring and big data analysis under digital channel conditions","authors":"Yuanyuan Jiang","doi":"10.1117/12.2670400","DOIUrl":"https://doi.org/10.1117/12.2670400","url":null,"abstract":"Since the quality of underwater topographic survey of waterway affects the safety production in many fields, researchers put forward an underwater topographic monitoring method based on wireless sensor network (WSN) on the basis of understanding the defects of traditional methods. Combined with practical case analysis shows that this method is used to design the wireless node of bathymetric survey, select a two-dimensional plane coordinates of the node localization algorithm analysis, and ultrasonic sensors are used to obtain the vertical depth coordinates, and then use 3 d coordinates of all the nodes to surface fitting, eventually to build underwater terrain. Finally, the experimental results show that this method is feasible and meets the operation requirements under the current digital channel conditions.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"9 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":"132428758","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}
引用次数: 0
Data monitoring and early warning of project nodes based on the data center platform 基于数据中心平台的项目节点数据监控预警
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671460
H. Sun, Wenjie Li, Xiwen Wang, Pengfei Lv, Qi He
{"title":"Data monitoring and early warning of project nodes based on the data center platform","authors":"H. Sun, Wenjie Li, Xiwen Wang, Pengfei Lv, Qi He","doi":"10.1117/12.2671460","DOIUrl":"https://doi.org/10.1117/12.2671460","url":null,"abstract":"There are many attribute cancellations in the attribute library of data center. During encryption, the revocation of attributes affects the recursive effect of data bytes. To improve the efficiency of attribute-based encryption, data centers are designed to be sensitive to ubiquitous network applications. An encryption method based on information attributes. The detection scale of the data from the network nodes is estimated, the relevant information is normalized, and the mapping conditions between attribute databases are established. Select the sensitive information attributes of the data center, control the data byte recursion, and randomly match the channel selection. Value, formulate attribute-based encryption scheme. The operation parameters of the sensing network are defined, the data center information structure is introduced, and the encryption method based on ciphertext policy is implemented. The encryption method based on the Internet of things and the designed encryption method are tested. The test results show that the encryption method has short encryption time and good timeliness.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"61 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":"131649101","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}
引用次数: 0
Neural network structure text processing method based on automatic machine learning 基于自动机器学习的神经网络结构文本处理方法
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670485
Bowen Jing
{"title":"Neural network structure text processing method based on automatic machine learning","authors":"Bowen Jing","doi":"10.1117/12.2670485","DOIUrl":"https://doi.org/10.1117/12.2670485","url":null,"abstract":"In the social economy and technological innovation and development, the information process in all fields is getting faster and faster, the management system with different functions, has been cited to People's Daily life and work, which also makes the industry development has accumulated rich data resources. How to obtain valuable information in mass text data is the main problem discussed by Chinese scientific researchers. On the basis of understanding the status quo of structured text processing, this paper proposes a neural network structured text processing method based on automatic machine learning and neural network algorithm. At the same time, taking the structured processing of medical text data as an example, the application advantages of this method are discussed.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"8 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":"126750940","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}
引用次数: 0
The incentive effects of R&D tax credits: evidence from Chinese listed manufacturing firms 研发税收抵免的激励效应:来自中国制造业上市公司的证据
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670300
Huizhen Jin, Jishan Piao
{"title":"The incentive effects of R&D tax credits: evidence from Chinese listed manufacturing firms","authors":"Huizhen Jin, Jishan Piao","doi":"10.1117/12.2670300","DOIUrl":"https://doi.org/10.1117/12.2670300","url":null,"abstract":"This study examines whether R&D tax incentives in China have a positive effect on R&D investment, R&D expenditure and firm value. Using a sample of manufacturing firms listed on the Shanghai and Shenzhen stock exchanges over the period 2012-2016, we find that the R&D tax credit for research and development not only has an incentive effect on enterprise R&D investment and R&D expenditure but also has an incentive effect on firm value. This study provides important implications for stakeholders, such as investors, policy makers, and policy makers who pursue long-term performance objectives in developing countries or regions.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"124 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":"123083118","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}
引用次数: 0
Research on dynamic artificial intelligence method for deep learning of big data 面向大数据深度学习的动态人工智能方法研究
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670540
Yang-Hao Wu, Peng Wang, Renchao Guo, Zhen Yang, Ling Zhou
{"title":"Research on dynamic artificial intelligence method for deep learning of big data","authors":"Yang-Hao Wu, Peng Wang, Renchao Guo, Zhen Yang, Ling Zhou","doi":"10.1117/12.2670540","DOIUrl":"https://doi.org/10.1117/12.2670540","url":null,"abstract":"In the field of artificial intelligence research, deep learning as a very active research field, mainly reflected in natural language processing, computer vision, speech recognition and other aspects. After entering the era of big data, with the continuous expansion of data scale, technological innovation of all enterprises has ushered in new opportunities and challenges, and scientific researchers have begun to use deep learning to solve the problem of big data prediction and analysis. Therefore, on the basis of understanding the research status of artificial intelligence, this paper deeply discusses the application reliability of deep learning algorithms of artificial intelligence according to the dynamic changes of deep learning of big data. The final results show that the dynamic artificial intelligence method of deep learning with big data meets the needs of practical application.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"14 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":"131109851","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}
引用次数: 0
Practical teaching mode and cultivation path of college students' innovation ability under the background of big data 大数据背景下大学生创新能力的实践教学模式与培养路径
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670110
Qu Liang, Hai Wang
{"title":"Practical teaching mode and cultivation path of college students' innovation ability under the background of big data","authors":"Qu Liang, Hai Wang","doi":"10.1117/12.2670110","DOIUrl":"https://doi.org/10.1117/12.2670110","url":null,"abstract":"The era of big data not only provides broad ideas for technological innovation, but also brings research ideas that are different from the traditional knowledge category. It can be directly used to solve problems by applying it to practical teaching and training of college students' innovation ability. Understanding the current situation of college students' education and training, it is found that the cultivation of practical innovation ability lacks accurate guidance, and the cultivation of students' innovation consciousness and ability does not meet the current educational requirements. Therefore, on the basis of understanding the development background of the new era and thinking about the cultivation of college students' innovation ability, this paper builds an evaluation model of college students' innovation and entrepreneurship ability with big data technology as the core, and puts forward appropriate teaching guidance countermeasures.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"1 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":"132538127","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}
引用次数: 0
Research on the new model of "Internet + education" based on artificial intelligence 基于人工智能的“互联网+教育”新模式研究
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670426
Risheng Wang, Zijun Sun, Yuxiang Zhou
{"title":"Research on the new model of \"Internet + education\" based on artificial intelligence","authors":"Risheng Wang, Zijun Sun, Yuxiang Zhou","doi":"10.1117/12.2670426","DOIUrl":"https://doi.org/10.1117/12.2670426","url":null,"abstract":"China's \"Internet + education\" respects the essence of education at the same time, based on the Internet mode of thinking and behavior, re-create the teaching model and teaching methods, it does not belong to a simple online education, but the Internet into the whole process of teaching. Therefore, in the context of the new era, after introducing the concept of artificial intelligence technology into the field of education, the new information technology with artificial intelligence as the core can not only balance the processing of educational resources, gradually improve the teaching efficiency, but also present students with personalized and autonomous learning mode. In this article, therefore, artificial intelligence and Internet + education development model, on the basis of deeply discussed with artificial intelligence as the core \"Internet + education\" of the new mode, and connecting with the new era under the trend of the development of artificial intelligence, has been clear about the Internet + education the main content of the new model, in order to optimize the comprehensive level of education in our country.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"56 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":"132588844","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}
引用次数: 0
On the application technology of computer database system in information management 浅谈计算机数据库系统在信息管理中的应用技术
International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670399
Yongtai Huang, Peiyuan Wang, Hang Wang, Tong Wu
{"title":"On the application technology of computer database system in information management","authors":"Yongtai Huang, Peiyuan Wang, Hang Wang, Tong Wu","doi":"10.1117/12.2670399","DOIUrl":"https://doi.org/10.1117/12.2670399","url":null,"abstract":"The extensive use of computer database system in information management can not only improve the level of comprehensive management, but also gradually expand the scope of influence of computer database system. Because the computer database system is easy to expand, high sharing, structured storage and other characteristics, so in the application of information management, we must consider the security problem, only in this way to fully show the application value of the computer database system. According to this paper, on the basis of understanding the current situation of information management and the structure of computer database system, the distributed database management mode is put forward, and the future development direction is clarified from the current information management perspective.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"182 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133847638","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}
引用次数: 0
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