Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers最新文献_第6页

Ocean salinity intelligent prediction model based on particle swarm optimization LSTM neural network 基于粒子群优化LSTM神经网络的海洋盐度智能预测模型

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544328

Xuhan Lin, Yuanjian Li

引用次数: 0

Construction of Real-time Analysis System of Sports Video Images Based on Fuzzy Clustering Algorithm 基于模糊聚类算法的体育视频图像实时分析系统构建

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544355

Fang Wu

引用次数: 0

Research on AGV Cluster Scheduling Method Based on Parallel Search Algorithm 基于并行搜索算法的AGV集群调度方法研究

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544180

Yuejun Zhao

引用次数: 0

Research on Logistics allocation path Optimization in E-business Based on Ant Colony Algorithm 基于蚁群算法的电子商务物流配送路径优化研究

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544365

Hua Zhang

{"title":"Research on Logistics allocation path Optimization in E-business Based on Ant Colony Algorithm","authors":"Hua Zhang","doi":"10.1145/3544109.3544365","DOIUrl":"https://doi.org/10.1145/3544109.3544365","url":null,"abstract":"Logistics distribution is one of the most critical links of e-business, but its path optimization has been proved to be a NP hard problem. Traditional logistics distribution decisions mostly adopt centralized decision-making methods or some simplified algorithms, such as discrete optimization algorithm and heuristic algorithm. They can only solve local problems, and it is difficult to achieve optimization under global control. Moreover, some algorithms are only suitable for specific occasions, It is difficult to guarantee the validity of its solution. Using the well-known relativity between traveling salesman problem and ant colony search food process, the traveling salesman problem is solved according to the artificial simulation of ant search food process. At present, many ant colony algorithm problems have been successfully used in traveling salesman problem. In this paper, aiming at the optimization path problem of e-business logistics distribution, the ant colony algorithm is improved to improve its searching ability and speed up the convergence. Through simulation, it is proved that this method is feasible and effective in solving the optimal path of e-business logistics distribution.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"14 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":"132492676","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

Simulation research on optimal extraction of architectural image features based on image sequence 基于图像序列的建筑图像特征优化提取仿真研究

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544388

Boyi Hong

{"title":"Simulation research on optimal extraction of architectural image features based on image sequence","authors":"Boyi Hong","doi":"10.1145/3544109.3544388","DOIUrl":"https://doi.org/10.1145/3544109.3544388","url":null,"abstract":"The optimized extraction of ancient architectural image features in Jiangnan can more accurately describe the geometric information of architectural image. To extract the image features, we need to classify the image pixel features, calculate the response function value of each image pixel, and complete the feature optimization extraction of the image. The traditional method reconstructs the image and uses morphological operation to detect the edge of the building image, but ignores the calculation of the response function value of each pixel. An optimal feature extraction method of image in Jiangnan ancient architecture based on SUSAN corner detection is proposed. The Gaussian mixture model is used to represent the color distribution corresponding to each pixel of Jiangnan ancient architecture image, describe the characteristics of each pixel of the image, classify the characteristics of each image pixel, define the corner response function by calculating the gradient value of image pixel gray change in Jiangnan ancient architecture, and calculate the corner response function value of each image pixel, The local maximum image pixel that can obtain this value is obtained as the image feature of Jiangnan ancient architecture. The experimental results show that the proposed method can effectively improve the accuracy of feature optimization extraction in the image of ancient buildings in the south of the Yangtze River, and has good robustness.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"23 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":"132515585","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 of Nonstationary Time Series Prediction to Shanghai Stock Index Based on SVM 基于SVM的非平稳时间序列预测在上证指数中的应用

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544164

Chun Yang, Kaiman Ou, Shaoyong Hong

{"title":"Application of Nonstationary Time Series Prediction to Shanghai Stock Index Based on SVM","authors":"Chun Yang, Kaiman Ou, Shaoyong Hong","doi":"10.1145/3544109.3544164","DOIUrl":"https://doi.org/10.1145/3544109.3544164","url":null,"abstract":"With the development of computer software and hardware system, machine learning methods are more and more used in various industries of social development. In the aspect of stock index prediction, the current prediction method has gradually changed from the traditional statistical analysis method to the artificial intelligence analysis method. Based on the original sample data, this paper uses support vector machine regression (SVR) model to predict the opening price of Shanghai stock index. The parameters of SVR model are optimized and debugged by grid search method (grid), particle swarm optimization (PSO) and genetic algorithm (GA). The analysis results show that the three types of support vector machine prediction models based on the original sample data can fully reflect the time-varying law of stock index and have high prediction accuracy. Among them, genetic algorithm support vector machine regression (GA-SVR) model shows that the minimum root mean square error (RMSE) is 14.730 and the minimum average absolute percentage error (MAPE) is 0.375%. GA-SVR model has good prediction effect and has certain significance for the prediction of stock price.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"27 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":"132202070","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 of Bayes algorithm in classroom management system 贝叶斯算法在教室管理系统中的应用

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544140

Bihui Cheng, Dongdong Ding

引用次数: 0

Analysis on Energy Efficiency and Rapidity of High-speed Train Operation 高速列车运行能效与快速性分析

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544327

Tianhao Qi, Menglei Mei

引用次数: 0

Data Mining Model of Internet of Things based on Blockchain Technology 基于区块链技术的物联网数据挖掘模型

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544400

Hongping Cao, Hongxing Cao, Guiping Liang

{"title":"Data Mining Model of Internet of Things based on Blockchain Technology","authors":"Hongping Cao, Hongxing Cao, Guiping Liang","doi":"10.1145/3544109.3544400","DOIUrl":"https://doi.org/10.1145/3544109.3544400","url":null,"abstract":"With the rapid development of the Internet of things, there are problems such as networking cost, data sharing, privacy and security protection. With its decentralized architecture and distributed node deployment, blockchain can effectively reduce the operation cost of the Internet of things, ensure the accuracy and non tamperability of the recorded information, and make privacy and security based. With the heated discussion on blockchain and the Internet of things technology widely infiltrated in people’s lives, it can be found that the distributed and decentralized characteristics of blockchain have many similarities with the distributed characteristics of the Internet of things. The best application scenario of blockchain technology is the Internet of things. In the Internet of things, the core of the value and development of data is the massive data of devices. Solving the problems of trusted operation and heavy operation between IOT systems in different fields is the core goal of blockchain application in IOT. On this basis, an open ecosystem is constructed. This paper focuses on the consensus mechanism in the blockchain system, makes a quantitative comparison of the current mainstream consensus mechanisms in terms of throughput and delay, analyzes the advantages and disadvantages of each consensus algorithm, and systematically studies the widely used consensus mechanism.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"27 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113941525","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 On-line Data Prediction of Electrical Equipment Based on Wavelet Analysis and Data Fusion 基于小波分析和数据融合的电气设备在线数据预测研究

Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers Pub Date : 2022-04-14 DOI: 10.1145/3544109.3544341

Guorong Wang, Wentao Mao, Yingzhi Tang, Yan Xiao

{"title":"Research on On-line Data Prediction of Electrical Equipment Based on Wavelet Analysis and Data Fusion","authors":"Guorong Wang, Wentao Mao, Yingzhi Tang, Yan Xiao","doi":"10.1145/3544109.3544341","DOIUrl":"https://doi.org/10.1145/3544109.3544341","url":null,"abstract":"In the process of fault analysis and diagnosis of electrical equipment, it is of great significance to use wavelet transform to detect the fault time of fault signal. In order to overcome this deficiency, wavelet analysis can decompose mixed signals with different frequencies into block signals with different frequency components, which can effectively separate signal from noise, extract features and diagnose faults. According to the virtual instrument solution, this paper comprehensively processes various multi-source fault data information through data fusion technology. In fault pattern recognition, how to make full use of the advantages of various diagnosis methods, combine each other and learn from each other is of great significance to improve the resolution of fault pattern and enhance the comprehensiveness and reliability of fault diagnosis. Data fusion technology is a new frontier discipline to study multi-source information processing and analysis methods. In military, information processing and other fields, the application of multi-sensor data fusion technology to fault diagnosis has attracted more and more attention. This paper discusses the application characteristics of electrical equipment based on wavelet analysis and data fusion, and gives the latest research results and development trend.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"39 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":"124101976","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