2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)最新文献_第10页

The Art System of Picture Composition Based on Computer Video Processing Technology 基于计算机视频处理技术的图像构图艺术系统

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150599

S. Qiu, Ning Wang

{"title":"The Art System of Picture Composition Based on Computer Video Processing Technology","authors":"S. Qiu, Ning Wang","doi":"10.1109/ICDCECE57866.2023.10150599","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150599","url":null,"abstract":"With the development of science and technology and the renewal of media means in the era of cultural industry, electronic media develops rapidly, video image technology with digital realization as the carrier develops rapidly, and gradually becomes an independent art form, which indicates the arrival of a new type of art. The purpose of this paper is to study the picture composition art system based on computer video processing technology. From the picture composition art overview to the introduction of basic knowledge of computer science, and then to the main technology of computer video processing, summed up the coordinate space and its transformation, geometric transformation technology of graphics and other knowledge. This paper mainly analyzes the program flow of picture composition art system and modern geometric composition law module, and introduces the application of video frame in image processing. The real-time performance and effect of the system are tested. When processing video art image composition, the CPU usage of real-time processing is about 40%, If you don't process the video, but just play it, the average CPU usage is about 20%. The real-time performance of video processing can be realized effectively through the image synthesis art system.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134283130","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

Analysis of Multi-Objective Integrated Management System of Engineering Project Based on Ant Colony Algorithm 基于蚁群算法的工程项目多目标集成管理系统分析

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150990

Ruifu Qi, Yongjun Qi, Hailing Tang

引用次数: 0

HEALTH MATE: Personal Health Tracker Based on the Internet of Things 健康伴侣:基于物联网的个人健康追踪器

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150483

Sapna Kumari C, Sahana R, Skanda K Mitta, V. V, Y. S

引用次数: 0

The Performance Optimization of Approximate Minimum Spanning Tree for The Different Mobility Model 不同迁移率模型下近似最小生成树的性能优化

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150668

H. V, S. K

{"title":"The Performance Optimization of Approximate Minimum Spanning Tree for The Different Mobility Model","authors":"H. V, S. K","doi":"10.1109/ICDCECE57866.2023.10150668","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150668","url":null,"abstract":"A minimum spanning tree (MST) is a type of graph algorithm used to find the optimal solution for connecting nodes in a given network. It is used in sensor networks to connect the sensors in a given area efficiently. The MST algorithm finds the shortest paths between all pairs of nodes in the network, thus minimizing the energy cost of communication. The MST algorithm starts by finding the shortest path between two nodes. It then expands the search to find the shortest paths between all other pairs of nodes. To do this, the algorithm considers the weights of all the edges connecting the nodes and finds the path with the lowest total weight. The approximate minimum spanning tree algorithm is a variation of the classic MST algorithm. This algorithm uses heuristics to reduce the running time of the algorithm. It eliminates certain paths that do not contribute to the overall optimal solution. By eliminating these paths, the approximate MST algorithm can quickly find the optimal path without sacrificing the quality of the path. The approximate MST algorithm is used in sensor networks to quickly find the optimal paths between nodes. This algorithm can be used to reduce energy costs associated with communication and ensure that the most optimal path is chosen. It is also useful for finding the shortest paths between multiple nodes in a given area.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132165630","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

Novel Model of Product Sales in Financial and Trade Activities Participation based on the Variation Coefficient Method 基于变异系数法的金融贸易活动参与中产品销售的新模型

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151010

Lei-Yu Wu

{"title":"Novel Model of Product Sales in Financial and Trade Activities Participation based on the Variation Coefficient Method","authors":"Lei-Yu Wu","doi":"10.1109/ICDCECE57866.2023.10151010","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151010","url":null,"abstract":"The trade of cultural products is a new industry arising from the big background of economic globalization, and it is of strong permeability, wide cross-industry, and relatively intensive knowledge. It stands at the top of the commodity industry chain, is gradually recognized and cherished by people. Its development is also one of the obvious signs to measure the regional competitiveness. In view of the corresponding evaluation index of the sales route of cultural products in financial and trade activities participation, the study carries out the comprehensive weighting, and optimizes the results of the weighting based on the variation coefficient method. The importance between the subjective weight and objective weight is verified according to the instance data and the operating income margin of cultural products is predicted. The results show that this method takes full account of the relative variation range of the original data, and realizes the dynamic weighting value of the index, which greatly reduces the influence of the subjective factors. The network microstructure analysis results based on the node influence and node instability under time windows display that the partition characteristic of the index network weakens in the financial crisis period, and the network’s community structure evolves smoothly in the financial stable period. These results provide cases and references for further empirical researches on the correlations of financial markets, also are helpful for speeding up the opening process of the domestic capital market and the prevention of international financial market risks.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123846763","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

Enhanced Video Streaming Based Computing Encoder for Digital Visual Processing 基于增强型视频流的数字视觉处理计算编码器

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150486

T. Kumar, Amita Shukla

{"title":"Enhanced Video Streaming Based Computing Encoder for Digital Visual Processing","authors":"T. Kumar, Amita Shukla","doi":"10.1109/ICDCECE57866.2023.10150486","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150486","url":null,"abstract":"The rise of video streaming for digital visual processing has been a boon for the industry of visual processing. Video streaming technology has made it easier for companies to capture, analyze, and interpret visual data faster than ever before. It has allowed for the storage and transmission of large amounts of visual data at high speeds, providing businesses with the ability to process and interpret this data in real-time. Video streaming technology can be used in a wide variety of applications, including facial recognition, 3D mapping, and object recognition. By streaming video data, companies can quickly and accurately identify individuals, recognize objects, and track movement. This technology can also be used in security applications, such as surveillance and monitoring, as well as in medical imaging, such as MRI and CT scans. Video streaming technology has also allowed companies to create more efficient visual processing systems. The streaming video data can be used to automate the process of image recognition and object classification. This has allowed companies to reduce the amount of time and effort needed to interpret visual data. Additionally, streaming video data can be used to create virtual reality experiences, providing users with an immersive experience when viewing digital images.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128660617","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

Analysis of The Various Techniques Used for Breast Segmentation from Mammograms 从乳房x光片中分割乳房的各种技术分析

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150579

Athira K S, Janaki Peruvamba Dharmarajan, Vijaykumar D K, Nagesh Subbanna

引用次数: 0

Design and Implementation of Digital Book Recommendation Platform Based on Data Mining Visualization Technology 基于数据挖掘可视化技术的数字图书推荐平台的设计与实现

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150633

Xiaoyu Wang, Heng Wang

{"title":"Design and Implementation of Digital Book Recommendation Platform Based on Data Mining Visualization Technology","authors":"Xiaoyu Wang, Heng Wang","doi":"10.1109/ICDCECE57866.2023.10150633","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150633","url":null,"abstract":"The rapid development of Internet technology in the information age incurs serious problems of overloaded network data resources and complicated operation of website pages due to their dynamics and multi-structural operation patterns. Consequently, information resources are obtained from certain interfaces ineffectively. The purpose of this paper is to use the association rules in the data mining visualization technology to complete the design and implementation of the digital book recommendation system. With the Apriori book recommendation algorithm, an in-depth analysis is conducted on the reader borrowing data in this system, and the association rule visualization model is optimized in all aspects to produce a visualization model of diamond graphs. Moreover, the digital book recommendation system is established on the basis of professional knowledge and skills, whose system interface is easy for readers to understand and use such that shortening the time required for book borrowing. The readers’ basic demand can be met, with the provision of scientific technical services which further increases the utilization rate of library resources.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117089503","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

Carbon Productivity Improvement for Manufacturing Based on AI 基于人工智能的制造业碳生产率提升

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150532

Zhuo Wang, Xuhai Wang

{"title":"Carbon Productivity Improvement for Manufacturing Based on AI","authors":"Zhuo Wang, Xuhai Wang","doi":"10.1109/ICDCECE57866.2023.10150532","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150532","url":null,"abstract":"Nowadays, with the rapid development of Internet technology, artificial intelligence (AI) technology plays an increasingly important role in addressing global climate issues. How to use AI technology driving manufacturing industry carbon productivity improvement has become a more and more important issue. Taking 27 sub-sectors of manufacturing business in China as the research object, this paper uses the fsQCA method to explore the synergistic effects relationships among factors such as artificial intelligence technology which affect the carbon productivity of the manufacturing business, and finds that there are three upgrade paths to ameliorate the carbon productivity of the manufacturing business driven by AI technology, namely environment-inspired path, energy-driven path and technology-coordinated path. According to the conclusions of this paper, relevant policies and suggestions on artificial intelligence technology to improve manufacturing carbon productivity are put forward. The research findings of this paper are that, through theoretical analysis and empirical tests, the positive effect of AI technology on manufacturing carbon productivity is verified, and the path of AI technology driving manufacturing carbon productivity improvement is found, which provides a theoretical basis for using AI technology to improve manufacturing carbon productivity in the context of Internet plus.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114278861","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

Breast Cancer Detection Using Deep Learning Technique 利用深度学习技术检测乳腺癌

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150859

Sachin A Urabinahatti, D. Jayadevappa

引用次数: 0