International Conference on Mathematics, Modeling and Computer Science最新文献_第3页

Analysis of key technologies of cloud computing based on openstack cloud platform 基于openstack云平台的云计算关键技术分析

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670496

Y. Sai, Tianjia Zhang

引用次数: 0

Research and application of environmental conservation monitoring based on multi-scale remote sensing image technology 基于多尺度遥感影像技术的环境保护监测研究与应用

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671725

Lei Lei, Liang Wang, Wei Chen, Zirui Liu, Anxiang Guo, Chen-xiang Wang

引用次数: 0

Study on the early warning method of economic crime based on data mining 基于数据挖掘的经济犯罪预警方法研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670304

Bowei Zhang

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Research on computer vision in object detection 计算机视觉在目标检测中的应用研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671590

Xiang Wei, Youli Ren, Mian Huang

引用次数: 0

Research on electric power safety supervision training system based on virtual reality 基于虚拟现实的电力安全监管培训系统研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670394

Dafei Wang

引用次数: 0

A study of future cars based on mixed reality technology 基于混合现实技术的未来汽车研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670316

Jiacheng Lv

引用次数: 0

Research on time-varying state prediction of distribution lines based on support vector machine algorithm 基于支持向量机算法的配电线路时变状态预测研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671156

Q. Su

{"title":"Research on time-varying state prediction of distribution lines based on support vector machine algorithm","authors":"Q. Su","doi":"10.1117/12.2671156","DOIUrl":"https://doi.org/10.1117/12.2671156","url":null,"abstract":"Because the distribution line will be affected by internal and external factors in the working state, leading to the transition of the operating state, so the accurate prediction of the distribution line working state, is the current distribution network regulation and operation of the basic condition. According to the distribution circuit of power supply in recent years, as an important part of power distribution system, the basic role bear the substation and distribution of electrical energy, electric energy to power unit, research on power distribution line inspection regularly, can fully grasp the running state of the circuit, discover the problems of these defects, in order to improve the reliability of power supply system, Reduce the probability of line accidents. Therefore, on the basis of understanding the research status of distribution line state prediction, according to the basic content of support vector machine algorithm, this paper puts forward a time-varying state prediction method of distribution line based on support vector machine algorithm. Finally, the experimental results show that the algorithm is effective in the distribution system.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"138 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":"122431407","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 effect of text content communication based on text mining 基于文本挖掘的文本内容交流效果研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671273

Jia Yu

引用次数: 0

An improved method of large angle palm recognition rate based on UNet depth prediction and projection transformation 基于UNet深度预测和投影变换的大角度手掌识别率改进方法

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670428

Runjia Li

{"title":"An improved method of large angle palm recognition rate based on UNet depth prediction and projection transformation","authors":"Runjia Li","doi":"10.1117/12.2670428","DOIUrl":"https://doi.org/10.1117/12.2670428","url":null,"abstract":"In the development of modern science and technology innovation, identity authentication technology in daily life and work in the field of application more and more, among which fingerprint recognition, facial recognition, voice recognition, vein recognition, iris recognition, etc., are not easy to forge the characteristics, so it is the main content of research scholars in various countries. Especially for palmar vein recognition technology, because this recognition technology has the characteristics of stability and uniqueness, the characteristic area of palmar vein is large, so more and more research topics are proposed. In the traditional sense of the hand vein recognition method, although has obtained the high accuracy, but need to manually during the recognition image design and gathering more features, need to study during the data preprocessing high quality hand vein image, so how to make use of artificial intelligence algorithm is optimized, are the major risks to the present study. In this paper, based on the understanding of the development status of palm vein recognition technology and the basic principle of Unet depth prediction and projection transformation, a palm vein recognition method based on feature fusion network is proposed. The final results show that compared with the traditional palm-vein recognition method, the proposed algorithm has stronger features, expression ability and generalization ability.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"38 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":"125445633","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

Assessment of M and A risks based on fuzzy consistent matrix 基于模糊一致矩阵的并购风险评价

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2669378

Yao Yao, Yizhen Zhou, Jiangping Zhu

{"title":"Assessment of M and A risks based on fuzzy consistent matrix","authors":"Yao Yao, Yizhen Zhou, Jiangping Zhu","doi":"10.1117/12.2669378","DOIUrl":"https://doi.org/10.1117/12.2669378","url":null,"abstract":"Merger and acquisition is an important commercial activity which facilitates business efficiency and contributes to macroeconomic growth. However it is challenged by various risks, amongst which integration risk is complicated and difficult to identify. In this paper, integration risk was analyzed, identified, processed and assessed with big data technology. Based on fuzzy consistent matrix method, a simulated case study was conducted to establish an applicable fuzzy comprehensive model for integration risk assessment in merger and acquisition. In the theoretical analysis, the research firstly analyzed the feature of integration risk, elaborated different categories of integration risk, while explained the suitability to adopt big data technology in risk management. Information asymmetry, multi source of information and quantification of qualitative information in integration risk required unique valuation method. Corporate governance risk, cultural and social integration risk, technology integration and human resource integration risk has respective characteristics and are represented by different variables. And then, several merger cases are closely studied, combined with success cases and failed ones, indicators and risk related information were elaborated. The various sources of data were provided for big data analysis, from individual firms, industrial level and macro policy and market environment level. In the empirical analysis, the fuzzy evaluation method includes the establishment of comparison preferential matrix, transformation into fuzzy consistent matrix, calculation for single objective sequencing, and final achieved overall risk assessment result. Future research prospects and policy implications were also discussed.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"30 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":"121535660","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