Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering最新文献_第6页

A novel music genre classification algorithm based on Continuous Wavelet Transform and Convolution Neural Network 一种基于连续小波变换和卷积神经网络的音乐类型分类新算法

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501632

Kang Xu, Md Al Alif, Gang He

引用次数: 2

Development and Application of Computer Three-dimensional Auxiliary System in Dance Creation 计算机三维辅助系统在舞蹈创作中的开发与应用

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501660

Libin Chen

{"title":"Development and Application of Computer Three-dimensional Auxiliary System in Dance Creation","authors":"Libin Chen","doi":"10.1145/3501409.3501660","DOIUrl":"https://doi.org/10.1145/3501409.3501660","url":null,"abstract":"The 21st century has completely entered the digital era, and computer has become a household tool. With the progress of science and technology and the development of the times, the era of mechanization has gradually moved towards people. Different from the past, technology has not been limited to culture, machinery and other fields. The digital field not only promotes the development of economy and culture, but also gets a certain development in the field of dance art, which makes the field of dance art have a more convenient and more relaxed development platform. The field of dance education also has a more convenient and intuitive method for people to understand and get familiar with this field. It is valued with greater ornamental nature, more perfect interaction and resource-saving advantages. Dance creation computer three-dimensional auxiliary system conforms to the development direction of dance art, as digital dance art, visual is the premise of the whole art form, under the premise of visual, reach a higher level of interaction, and dance creation computer three-dimensional auxiliary system meets the requirements of digital dance, through three-dimensional auxiliary system data collection, so that many difficult to express things become concrete, this is a great progress for mankind.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116770489","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: 1

Further Non-local and Multiple Granularity Network for Vehicle Re-identification 车辆再识别的非局部多粒度网络研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501627

Qinglan Meng, Xiyu Pang, G. Jiang, Yanli Zheng, Xin Tian

{"title":"Further Non-local and Multiple Granularity Network for Vehicle Re-identification","authors":"Qinglan Meng, Xiyu Pang, G. Jiang, Yanli Zheng, Xin Tian","doi":"10.1145/3501409.3501627","DOIUrl":"https://doi.org/10.1145/3501409.3501627","url":null,"abstract":"An algorithm that can effectively distinguish different vehicles with high similarity by identifying vehicle photos collected from multiple angles is called vehicle recognition algorithm. This algorithm has been extensively applicable to the region of intelligent transportation and urban computing, but it is always challenging to implement the algorithm. In this paper, an modified feature extraction method is provided, which enhances the traditional nonlocal neural networks and improves its ability to capture the relationship between different positions in the image. At the same time, we adopt a multi-branch global and local information learning strategy, which not merely captures the global features, moreover, those local parts of the feature can be more focused on finer discrimi-nating information in each part of the partition and filtering information on other partitions as the number of partitions increases. Finally, a hybrid relationship between channel feature fusion and channel level is introduced based on this learning strategy. The experimental results show that the MAP and Rank-1 indexes on the VERI-776 mainstream public dataset are 78.9% and 93.86%, which are the highest running scores in this dataset at the present stage, proving that the proposed algorithm is excelled other main stream design.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127718329","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 multi-objective flow shop scheduling problem based on improved NSGA-III algorithm 基于改进NSGA-III算法的多目标流水车间调度问题研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501618

Xi Zhang, Yuxing Wang

引用次数: 0

Research on the application of cloud computing technology in computer big data analysis 云计算技术在计算机大数据分析中的应用研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501630

Gen-Kuo Chen

引用次数: 0

Investment capacity prediction of Power Grid Enterprise based on Self-organizing Data Mining Technology 基于自组织数据挖掘技术的电网企业投资能力预测

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501588

Juhua Hong, Lin Liu, Ziqiang Tang, Keyao Lin, Xiaofeng Li, Mou Yu

{"title":"Investment capacity prediction of Power Grid Enterprise based on Self-organizing Data Mining Technology","authors":"Juhua Hong, Lin Liu, Ziqiang Tang, Keyao Lin, Xiaofeng Li, Mou Yu","doi":"10.1145/3501409.3501588","DOIUrl":"https://doi.org/10.1145/3501409.3501588","url":null,"abstract":"With the expansion of power grid investment demand and investment scale, the research on power grid enterprises' investment capacity is particularly important. This paper expounds the basic principle of self-organizing Data Mining technology, and on this basis, establishes the GMDH model of power grid enterprises' investment capacity prediction, describes the process of establishing the model in detail. Then, the indicator system of power grid enterprises' investment capacity factors is constructed, and the GMDH model is used to forecast and analyze the investment capacity of HM Grid Company based on the data of factors from 2008 to 2020. The research results show that the GMDH model of grid enterprise investment capacity prediction is robust, not only can avoid artificial interference, self-organized selection of influencing factors, and meet the requirements of objectivity and authenticity, but also has a good prediction performance, high prediction accuracy, and more reliable prediction results, which provides new thoughts and approaches of measuring the investment capacity of grid enterprise.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134277624","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 Crowd Counting and Density Estimation Algorithms Based on Deep Learning 基于深度学习的人群计数和密度估计算法研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501578

Tongtong Zhou, Lu Zheng, Yueping Peng, Rongqi Jiang

引用次数: 0

Distribution big data technology of active distribution Network based on edge computing 基于边缘计算的主动配电网配电大数据技术

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501637

Wei Zhang, Tianjun Wang, Hao Wang

{"title":"Distribution big data technology of active distribution Network based on edge computing","authors":"Wei Zhang, Tianjun Wang, Hao Wang","doi":"10.1145/3501409.3501637","DOIUrl":"https://doi.org/10.1145/3501409.3501637","url":null,"abstract":"Aiming at the problems of cloud communication and storage congestion and computing delay caused by massive heterogeneous distribution data, a hierarchical architecture model of active distribution network based on edge computing was proposed. Firstly, the edge computing framework based on the functional architecture of industrial Internet is proposed, and the internal and external interaction modes of edge computing node data are specifically sorted out. According to the established data interaction modes, the interactive processing mechanism of cloud-edge collaboration is proposed. Then, according to the logical protocol and physical architecture of active distribution network, the hierarchical architecture model of active distribution network based on edge computing is established to collect, interact and monitor the operating status, operating environment and electricity quantity data of distribution equipment. Finally, based on big data technology, the typical application scenarios of edge computing technology in actual power distribution are analyzed, and the efficiency, real-time, security and accuracy of edge computation-based power distribution big data system for local data storage and processing are verified.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114788664","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: 1

Visual odometery for UAV navigation based on deep learning 基于深度学习的无人机导航视觉里程计

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501673

Fan Wu, Yantao Zong, Rui Zhao, Tzuyang Yu, Xiaqing Tang, Ximing He

引用次数: 0

Research on Lane Location and Navigation Technology Based on Binocular Camera 基于双目摄像机的车道定位与导航技术研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501435

Dunyang Geng, Changsheng Ai, Lei Zheng, Zhengguang Qi, Zhiquan Feng, Jiebing Yan

引用次数: 0