Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers最新文献_第10页

Mobile mask detection system based on YOLOv4-tinys 基于YOLOv4-tinys的移动掩码检测系统

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544331

Qiuchen Wang

引用次数: 0

Research of Diesel Engine Status Evaluation Based on SOM Neural Network 基于SOM神经网络的柴油机状态评估研究

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544165

Sunqing Xu, Lin-Hu Cong

引用次数: 0

Research on recommendation strategy of e-commerce user portrait based on user dynamic interest factor hybrid recommendation algorithm 基于用户动态兴趣因子混合推荐算法的电子商务用户画像推荐策略研究

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544151

Jun Zhang, Longlong Liu

{"title":"Research on recommendation strategy of e-commerce user portrait based on user dynamic interest factor hybrid recommendation algorithm","authors":"Jun Zhang, Longlong Liu","doi":"10.1145/3544109.3544151","DOIUrl":"https://doi.org/10.1145/3544109.3544151","url":null,"abstract":"In modern society with the good and fast development of mobile e-commerce, the commodity information and the user behavior data accompanying it show an explosive and sudden growth trend, which also leads to the emergence of information overload on the e-commerce platform, and the proposed personalized recommendation system for e-commerce users largely alleviates this problem mentioned above. The personalized recommendation system for e-commerce users aims to solve the information overload of e-commerce platform by analyzing the user behavior data of e-commerce platform, so as to explore the interest preference of e-commerce platform users and make active recommendation of advertising content related to e-commerce platform. Although the research on recommendation algorithms for e-commerce platforms has made great progress, there are still challenges in terms of sparse data, static user features and interpretability of e-commerce platform recommendation results in terms of big data feature recognition. Therefore, in this paper, a hybrid recommendation algorithm based on the forgetting curve of e-commerce platform and the automatic feature construction of e-commerce platform is studied in the e-commerce scenario of e-commerce platform, combined with the e-commerce data collected in real field, for the sparsity of e-commerce platform data, the interpretability of recommendation results and the static nature of e-commerce platform user features.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132373644","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

Design of Embedded Development Course Teaching Platform Based on ARM Cortex M3 基于ARM Cortex M3的嵌入式开发课程教学平台设计

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544132

Shasha Zhang

引用次数: 0

Science Unreal Domed Screen Film-making and Application Based on Unreal Engine Technology 基于虚幻引擎技术的虚幻圆幕电影制作及应用

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544147

Xing Wu, Qingfang Fu

引用次数: 0

Research on power industry engineering optimization algorithm based on deep learning 基于深度学习的电力工程优化算法研究

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544380

Yinan Fu

{"title":"Research on power industry engineering optimization algorithm based on deep learning","authors":"Yinan Fu","doi":"10.1145/3544109.3544380","DOIUrl":"https://doi.org/10.1145/3544109.3544380","url":null,"abstract":"Power system plays an important role in the development of national economy, and maintaining the balance between supply and demand of power grid is the key condition to ensure the stable operation of power system. At present, the super-capacity electric energy storage technology has not been broken, so it is necessary to implement the corresponding generation scheduling plan to ensure the stable operation of the power system. Effective short-term forecasting of power load is the basis for making the dispatching plan. Accurate short-term load forecasting can make the dispatching plan more accurate, and can reduce the power loss caused by inaccurate forecasting. As one of the hottest technologies in recent years, deep learning has achieved a lot of breakthrough development results so far. The technology is gradually maturing and the theory is gradually enriched, which has been widely used in many fields at present. However, most of the deep neural networks have a huge network architecture, which is deep and wide, with a large number of parameters and a large amount of calculation, so it requires higher computer hardware, and generally requires a high-profile graphics card to run. Aiming at the problem that the smart grid can’t effectively coordinate the production, transportation and distribution of electric energy due to the inaccurate short-term electric load forecast in the power system, in order to reduce the waste of resources caused by overload or low load and unnecessary carbon dioxide emissions, this paper proposes a new deep learning method to solve the problem of reliable short-term electric load forecast in this kind of power grid.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128121550","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

An Improved LEACH Protocol Based on Location and Residual Energy for Wireless Sensor Networks 一种基于位置和剩余能量的改进LEACH无线传感器网络协议

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544174

Yongmin Liu, Tingting Shi, Yiming Liu, Hanlin Liu, Zhuonong Xu

{"title":"An Improved LEACH Protocol Based on Location and Residual Energy for Wireless Sensor Networks","authors":"Yongmin Liu, Tingting Shi, Yiming Liu, Hanlin Liu, Zhuonong Xu","doi":"10.1145/3544109.3544174","DOIUrl":"https://doi.org/10.1145/3544109.3544174","url":null,"abstract":"Normally, in the classical Low Energy Adaptive Clustering Hierarchy protocol (LEACH), the choice of cluster heads does not rely on the location of node and the residual energy of node. Under the circumstances, the cluster head nodes often die prematurely, resulting in a short lifetime of the whole network. Based on traditional LEACH protocols, this paper gave a new rule of cluster formation by K-means clustering method. When ordinary nodes are upgraded to cluster head nodes, the location and residual energy of nodes are comprehensive considered to improve the election method of cluster head. At the same time, the ordinary node closing to the sink node is marked as a special node, and it jumps out of the cluster structure to transmit data directly to the sink node. Thus, the LEACH-CS (Cluster Selection) algorithm was proposed. Then, we derived the formula of total energy consumption, calculated the optimal value of the number of cluster centers in the lowest energy consumption and the selection of special node distance by mathematical deduction. Finally, the effectiveness of the method was verified by simulations. The simulation results demonstrate that compared with the traditional LEACH protocol and LEACH-C protocol, the proposed algorithm LEACH-CS can effectively reduce the total energy consumption of the network and greatly prolong the network lifetime.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126636289","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 and Simulations of the Rock-Paper-Scissors Game with Environmental Feedback 具有环境反馈的剪刀石头布游戏的分析与仿真

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544310

Susu Jia, Z. Kuang, Haihui Cheng, Xinzhu Meng, T. Hayat, A. Hobiny

引用次数: 0

Smart Tourism Management Model Based on Big Data Technology 基于大数据技术的智慧旅游管理模式

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544143

N. Yang

{"title":"Smart Tourism Management Model Based on Big Data Technology","authors":"N. Yang","doi":"10.1145/3544109.3544143","DOIUrl":"https://doi.org/10.1145/3544109.3544143","url":null,"abstract":"In order to overcome the limitations of traditional tourism under the background of big data era and the rapid development of Internet technology, this paper designs a novel intelligent tourism management model based on big data technology. The model fully combines the relevant facilities and existing achievements of smart city infrastructure construction, and also introduces high and new technologies such as Internet of things technology, communication technology and big data technology, giving full play to the power of smart city construction engineering and science and technology. Based on this, the model also constructs this module, including tourists, tourism enterprises, tourism departments and pig commu-nity residents. The research results show that the model designed in this paper can indeed solve the limitations of the tourism management system under the background of big data and the Internet era, let the traditional tourism catch the express train of smart city construction, and then provide convenient smart tourism services for more tourists, so as to comprehensively improve the active participation and satisfaction of tourists.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124307248","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 influence of temperature on the safe operation of aircraft in terminal area and risk control 分析终端区温度对飞机安全运行的影响及风险控制

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544119

Hongying Chen, Jialin Li

引用次数: 0