International Conference on Mathematics, Modeling and Computer Science最新文献_第4页

Research on the construction of financial economic cycle early warning mechanism based on neural network 基于神经网络的金融经济周期预警机制构建研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670481

Zhu He

引用次数: 0

Research on data mining and short-term power load forecasting based on Hadoop 基于Hadoop的数据挖掘与短期电力负荷预测研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671337

Xiannan Huang, Juhua Hong, Shicheng Huang, Linyao Zhang, Lin Liu, Siyu Yang, Weiwei Lin

{"title":"Research on data mining and short-term power load forecasting based on Hadoop","authors":"Xiannan Huang, Juhua Hong, Shicheng Huang, Linyao Zhang, Lin Liu, Siyu Yang, Weiwei Lin","doi":"10.1117/12.2671337","DOIUrl":"https://doi.org/10.1117/12.2671337","url":null,"abstract":"With the rapid development of smart grid technology, the amount of power data information increases more and more, and the traditional centralized processing method has been unable to meet the requirements of power system operation. In order to better meet the storage and analysis goals of power data, researchers propose to use distributed power big data. On the basis of understanding the research status of data mining and load prediction algorithms, this paper focuses on the data composite characteristics and change rules of power AI competition according to the big data platform, and constructs the user clustering model with Mahout as the core and the multi-algorithm fusion prediction model with Spark as the core. Combined with the final research results, it is shown that Spark and Mahout, two frameworks in the Hadoop ecosystem, fully consider the advantages and disadvantages of different frameworks, and effectively control the time and cost of experimental analysis. The former can be regarded as a short-term composite forecasting platform, while the latter belongs to a data mining framework.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"84 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":"122243864","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

Coordinated optimization method of "source network, load, and storage" in active distribution network based on genetic algorithm 基于遗传算法的有源配电网“源、荷、蓄”协调优化方法

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671582

Zhixuan Pan, Minli Huang, Y. Li, Ruijun Song, .. Udabala, Yuying Gong

{"title":"Coordinated optimization method of \"source network, load, and storage\" in active distribution network based on genetic algorithm","authors":"Zhixuan Pan, Minli Huang, Y. Li, Ruijun Song, .. Udabala, Yuying Gong","doi":"10.1117/12.2671582","DOIUrl":"https://doi.org/10.1117/12.2671582","url":null,"abstract":"In the development of social economy, in order to fully meet the basic demand of social residents for energy, based on the construction of active distribution network, the integrated operation objective of \"source network, charge and storage\" was put forward, and the coordinated optimization mathematical model based on genetic algorithm was constructed. According to the cumulative experience of structural reform of energy supply side in our country in recent years, transforming the extensive mode into the mode of improving quality and efficiency can provide high-quality distributed resources for our country to cope with climate change and economic construction. Therefore, on the basis of understanding the integrated operation objectives of active distribution network and \"source network, load and storage\", and according to the basic concept of genetic algorithm, this paper deeply discusses the coordinated optimization method of \"source network, load and storage\" of active distribution network with genetic algorithm as the core. The final experimental results show that genetic algorithm can not only control the cost of distribution network operation, but also improve the social and economic benefits.","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":"132744903","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 study on farmer’s digital inclusive financial behavior by big data analysis algorithms 基于大数据分析算法的农民数字普惠金融行为研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2669988

Ziqing Xia, Weilun Huang

引用次数: 0

Research on short-term power load forecasting based on big data and optimized neural network 基于大数据和优化神经网络的短期电力负荷预测研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671440

Xiazhe Tu, Juhua Hong, Shicheng Huang, Linyao Zhang, Zhenda Hu, Yichao Zou, Weiwei Lin

引用次数: 0

3D scene image surface reconstruction method based on virtual reality technology 基于虚拟现实技术的三维场景图像表面重建方法

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671722

Mengyi Zhang

引用次数: 0

YOLO multi-target robust watermarking against cropping attack 抗裁剪攻击的YOLO多目标鲁棒水印

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670492

S. Guan, Huawei Tian, Yanhui Xiao, Zhigang Gao

{"title":"YOLO multi-target robust watermarking against cropping attack","authors":"S. Guan, Huawei Tian, Yanhui Xiao, Zhigang Gao","doi":"10.1117/12.2670492","DOIUrl":"https://doi.org/10.1117/12.2670492","url":null,"abstract":"Digital watermarking is an important technology for secure communication and copyright protection. It is widely used in audio and video anti-counterfeiting protection, identification and traceability. Irreversible desynchronization attacks such as cropping seriously threaten the security and reliability of digital watermarking. To resist cropping attacks, it is an effective scheme to identify multiple foreground targets in an image and repeat the embedding and extraction of watermarks. Yolov5 can quickly identify the location and category of image targets, and the recognition effect is stable. Based on this, this paper proposes a multi-target robust watermarking algorithm based on Yolov5 target detection. First, the main target in the foreground of the image is selected as the watermark to be embedded area through the YOLO target detection network. Then, the discrete cosine transform (DCT) of the transform domain watermark embedding method is selected and the watermark embedding process is completed in the image target detection frame. After the watermarkembedded image has been subjected to different degrees of cropping attack, the residual image is subjected to watermark extraction operation, and the correlation and bit error rate are calculated with the original watermark, so as to verify the robustness of the watermarking algorithm in this paper against cropping attacks. The algorithm in this paper extracts 128 images from the COCOtestval data set for experimental testing. The results show that the method can not only detect the target in the salient region of the image, but also effectively embed a robust watermark, which is an effective solution to digital watermark cropping attacks.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"43 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":"127530137","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

Application and research of 3D modeling technology in table tennis forehand action 三维建模技术在乒乓球正手动作中的应用与研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2669694

Xinfang Kang, Yibei Li, J. Zhang, Shuping Xu

引用次数: 0

The study on Chinese investment willingness of private digital currency by big data analysis algorithms 基于大数据分析算法的中国民间数字货币投资意愿研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2669982

Mengxiang Jin, Weilun Huang

{"title":"The study on Chinese investment willingness of private digital currency by big data analysis algorithms","authors":"Mengxiang Jin, Weilun Huang","doi":"10.1117/12.2669982","DOIUrl":"https://doi.org/10.1117/12.2669982","url":null,"abstract":"The purpose of this paper is based on the results of questionnaires survey and literature review, combined with the methods of big data analysis algorithms, analysis of correlation, analysis of variance, analysis of regression, analysis of effects and other methods to explore the factors influencing Chinese investors' investment behavior in private digital currencies. The investors' willingness to invest in private digital currencies and the amount they are willing to invest are studied in investment behavior, and the investors' perceptions of the advantages and risks of private digital currencies are studied in influencing factors. The influence of personal factors on private digital currency investment behavior is also studied. The results show that the willingness to invest in private digital currency is significantly and positively related to the perception of individual advantages and social advantages of private digital currency as well as education and income, and significantly and negatively related to the perception of individual risks and social risks. The willingness to invest in private digital currency was significantly and positively correlated with age, education, and income and showed no significant correlation with the perception of private digital currency advantages and risks.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"13 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":"125906456","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

Face detection and recognition technology based on EfficientNet and BNNeck 基于EfficientNet和BNNeck的人脸检测与识别技术

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670429

Runjia Li

引用次数: 0