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Academic Journal of Computing & Information Science最新文献

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A Review of the Application of Evolutionary Deep Learning in Solving the Multi-task Robot Manipulation Synergy Effect 进化深度学习在解决多任务机器人操作协同效应中的应用综述
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060906
{"title":"A Review of the Application of Evolutionary Deep Learning in Solving the Multi-task Robot Manipulation Synergy Effect","authors":"","doi":"10.25236/ajcis.2023.060906","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060906","url":null,"abstract":"As robot technology enters a new era, multi-task robot manipulation has entered high-quality development. Sticking to the people-oriented philosophy, people propose synergistic effects to better meet the complex environment and diverse needs. Based on the dynamic evolution of evolutionary deep learning, the researchers construct a theoretical analysis framework for the synergistic effect of multi-task robot manipulation according to the logic of adaptation, optimization, enhancement, and evaluation. It can explain the synergistic effect of collaborative learning and optimization mechanisms involving deep learning and evolutionary algorithms. Moreover, from the perspective of the actual changes and practices of multi-task robot manipulations, we explore the possibility of moving toward high-quality development. Multi-task robot manipulation aims to provide users with results that meet the expected standards and continuously improve operation quality and user satisfaction. Therefore, we should take measures such as strengthening the collaboration based on course learning, constructing the mechanism of the interaction mechanism and optimization between the evolutionary strategy and simulator, and establishing the collaborative effect evaluation system of the PILCO framework, realize the high-quality collaborative effect of multi-task robot manipulation, promote the development of robot technology and meet the needs of users.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750231","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 Integrated Mapping Mystem of Mand and Mea Basic Spatial Element Data Based on ArcGIS 基于ArcGIS的纵横基本空间要素数据综合制图系统研究
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060807
{"title":"Research on Integrated Mapping Mystem of Mand and Mea Basic Spatial Element Data Based on ArcGIS","authors":"","doi":"10.25236/ajcis.2023.060807","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060807","url":null,"abstract":"Adhering to land and sea overall planning is the basic principle and important content of China's construction of Marine power, the basic geographic information of land and sea integration can provide data support and service guarantee for \"land and sea overall planning\" work. Aiming at the current land and ocean surveying and mapping system in China, an integrated data system of land and sea basic spatial elements is designed and implemented. The system uses C/S architecture and vector data integration technology to integrate and manage the data of land and sea basic spatial elements effectively. Based on ArcGIS secondary development method, this paper completed the establishment of land and sea basic spatial element data, designed the technical process and function of the integrated mapping system, and implemented the system by using.NET and ArcGIS Engine technologies. It has realized the functions of multi-field retrieval of massive surveying and mapping data, integrated spatial display, security storage and so on. Practice has proved that the data integration and management system designed and developed in this paper is feasible and effective, which can realize the efficient reuse of surveying and mapping data, provide convenient and fast data services for surveying and mapping workers, greatly improve their work efficiency, and promote the development of land and sea integration.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750247","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
Improved algorithm of cartographer based on laser odometer 基于激光里程计的制图改进算法
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060814
{"title":"Improved algorithm of cartographer based on laser odometer","authors":"","doi":"10.25236/ajcis.2023.060814","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060814","url":null,"abstract":"In the front-end matching process of the Cartographer algorithm, the accuracy of matching between the point cloud and submap relies on the initial values provided by the pose fusion algorithm. However, the original algorithm's pose fusion algorithm has low accuracy. To address this issue, this paper proposes an improved Cartographer algorithm based on a laser odometer. The improved algorithm utilizes NDT registration to obtain the pose transformation between frames. Additionally, a pre-integration of the IMU between the front and back frames is performed for joint optimization, allowing for the acquisition of a more accurate pose. This enhanced accuracy contributes to improving the matching of high point clouds with the submap. To analyze the efficacy of the improved algorithm, comparisons were made with the original Cartographer algorithm by analyzing the map construction effect and conducting positioning accuracy tests using datasets. The experiments confirmed that the improved algorithm is both feasible and effective in enhancing the map construction effect and pose accuracy.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750304","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
Tourism demand forecasting using PCA-BPNN 基于PCA-BPNN的旅游需求预测
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060911
{"title":"Tourism demand forecasting using PCA-BPNN","authors":"","doi":"10.25236/ajcis.2023.060911","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060911","url":null,"abstract":"Accurate prediction of tourism demand is critically important for the efficient allocation of resources in scenic areas and managing sudden events. This paper presents a new tourism demand prediction model, PCA-BPNN neural network model. It utilizes Principal Component Analysis (PCA) to reduce the dimensionality of the collected Baidu Index data and mitigate overfitting issues. The model then constructs a backpropagation neural network (BPNN). Empirical research demonstrates that PCA-BPNN effectively identifies the nonlinear relationship between search keywords and the number of tourist arrivals and outperforms all benchmark models in terms of predictive performance.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750602","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
School Vehicle Management System Based on JAVA Language 基于JAVA语言的学校车辆管理系统
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060919
{"title":"School Vehicle Management System Based on JAVA Language","authors":"","doi":"10.25236/ajcis.2023.060919","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060919","url":null,"abstract":"The rapid growth of schools in multiple regions has brought about a general rise in the amount of vehicles in them, posing numerous difficulties to school management and challenging the traditional approach. To hasten the growth of universities and to attain systematic, scientific, and institutionalized vehicle information management is a pressing matter that cannot be sidestepped any longer. Exploring and designing the school vehicle information management system, based on JAVA language, is the topic of this discussion. This system can guarantee safe operation, save costs, and reduce them. Ultimately, it can enhance the information level and campus digital management efficiency of schools, while ensuring the safety of school vehicles and keeping track of their specific operation and status at all times.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750603","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 Logistics Cargo Volume Forecasting Based on SETAR Model 基于SETAR模型的物流货运量预测研究
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060817
{"title":"Research on Logistics Cargo Volume Forecasting Based on SETAR Model","authors":"","doi":"10.25236/ajcis.2023.060817","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060817","url":null,"abstract":"With the rapid development of e-commerce platforms, logistics networks have ushered in new challenges. In order to predict the cargo volume of logistics routes over a period of time, this paper takes a transportation network as an example, and calibrates three routes as observation points based on the cargo volume of historical logistics routes. Selects a SETAR model with more time considerations than time series, establishes an AR model in each subinterval by setting the upper limit of the number of model orders, delay steps and the number of thresholds, and then changes the threshold value to select the optimal threshold value is selected by the AIC criterion. Then the number of delay steps is changed and the procedure is repeated to achieve the optimal prediction result. Finally, the prediction results of cargo transportation volume of the three routes are obtained. This study is important for the rational arrangement of logistics transportation resources.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750952","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 analysis and application of quantitative investment strategies based on deep learning 基于深度学习的量化投资策略分析与应用研究
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.061004
{"title":"Research on analysis and application of quantitative investment strategies based on deep learning","authors":"","doi":"10.25236/ajcis.2023.061004","DOIUrl":"https://doi.org/10.25236/ajcis.2023.061004","url":null,"abstract":"Due to the dynamics and complexity of the stock market, stock prediction models may encounter some challenges in predicting future stock movements, resulting in their poor generalisation ability. This paper discusses the application and effectiveness of deep learning technology in the financial field by studying the quantitative investment strategy based on deep learning. First, theoretical foundations of deep learning are introduced. Then, the methods for constructing quantitative investment strategies based on Long Short-Term Memory Network (LSTM) are elaborated, including data preprocessing, model selection and training, and strategy execution. Next, the performance and stability of the strategy are evaluated through backtesting and empirical analysis of historical data. Finally, the research results are summarized, and the direction of further research and application is prospected.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135157624","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 Data Encryption Technology in Computer Network Security 数据加密技术在计算机网络安全中的应用
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.061007
{"title":"Application of Data Encryption Technology in Computer Network Security","authors":"","doi":"10.25236/ajcis.2023.061007","DOIUrl":"https://doi.org/10.25236/ajcis.2023.061007","url":null,"abstract":"With the rapid development of computer technology, computer network security is an important issue that cannot be ignored in modern society, and data encryption technology plays a key role in ensuring the security of computer network. As one of the important means of computer network security, data encryption technology is widely used to protect sensitive information. Data encryption technology plays an important role in computer network security and needs to be continuously studied and explored to meet the increasingly severe challenges of network security. This paper will discuss the classification, advantages and application of data encryption technology in computer network security, and discuss the application of data encryption technology in computer network security.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135156096","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 Vehicle Detection and Recognition Algorithm Based on Improved YOLOv5 基于改进YOLOv5的车辆检测识别算法研究
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.061005
{"title":"Research on Vehicle Detection and Recognition Algorithm Based on Improved YOLOv5","authors":"","doi":"10.25236/ajcis.2023.061005","DOIUrl":"https://doi.org/10.25236/ajcis.2023.061005","url":null,"abstract":"This paper aims to study and improve the pedestrian and vehicle detection and recognition algorithm based on YOLOv5. Firstly, the network structure of YOLOv5 is introduced, including the backbone network, neck network, and post-processing algorithm. In order to address the challenges of pedestrian and vehicle detection, this paper carefully improves the backbone network, neck network, and post-processing algorithm. Experimental results show that the improved algorithm achieves higher accuracy and better performance in pedestrian and vehicle detection tasks. By comparing the performance of different modules before and after improvement, as well as comparing with other algorithms, the superiority of the algorithm is validated. This research is of great significance for improving the application of pedestrian and vehicle detection and recognition algorithms in areas such as traffic management, intelligent monitoring, and autonomous driving, and provides useful references for related research in these fields.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135157277","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
A Modeling Study of a Multi-modal Knowledge Graph of Children's Medical Information 儿童医学信息多模态知识图建模研究
Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060809
{"title":"A Modeling Study of a Multi-modal Knowledge Graph of Children's Medical Information","authors":"","doi":"10.25236/ajcis.2023.060809","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060809","url":null,"abstract":"With the rapid development of the application of information technology in the medical field and the gradual improvement of medical information storage standards, medical data presents a multi-modal form while growing rapidly. For managing, organizing and analyzing multi-modal medical data effectively, this paper takes children's medical data as an example, and uses the computer vision processing technology to realize knowledge acquisition, knowledge extraction, entity linking, knowledge storage of multi-modal children's medical data. The structured and unstructured medical data are organized together to achieve the multi-modal children's medical information knowledge graph.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135749927","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
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