Advances in computer, signals and systems最新文献_第4页

An Approach of Improved Traversal Merging of Transaction Data for Faster Apriori Algorithm 一种改进事务数据遍历归并的快速Apriori算法

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070810

引用次数: 0

Design and Realization of University Personnel Office Service Platform Based on WeChat Applet 基于b微信Applet的高校人事办公服务平台的设计与实现

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070609

引用次数: 0

WXGCB: A Clustering Prior Weighting Semi-Supervised Learning Method Based on Space Level Constraint and Mixed Variable Metrics WXGCB:一种基于空间层次约束和混合变量度量的聚类先验加权半监督学习方法

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070806

{"title":"WXGCB: A Clustering Prior Weighting Semi-Supervised Learning Method Based on Space Level Constraint and Mixed Variable Metrics","authors":"","doi":"10.23977/acss.2023.070806","DOIUrl":"https://doi.org/10.23977/acss.2023.070806","url":null,"abstract":"A clustering prior weighted semi-supervised learning method called WXGCB has been proposed, which combines the characteristics of the cluster-then-label semi-supervised method and space-level constraint semi-supervised method. WXGCB can use mixed variable information, data prior information, and clustering prior information based on different clustering algorithms to adjust the distance matrix, thereby transforming different supervised learning algorithms into semi-supervised learning algorithms for improving their prediction accuracy. Due to the fact that WXGCB does not require internal adjustments to the clustering algorithms and supervised learning algorithms used, this method can flexibly combine different clustering algorithms and supervised learning algorithms to find combinations that can better compensate for each other's shortcomings, and can easily convert various supervised learning algorithms into semi-supervised learning algorithms. To verify the effectiveness of WXGCB, WXGCB transformed two supervised learning algorithms KSNN and DBGLM into semi-supervised mixed variable learning algorithms SMKSNN and SMGLM, and conducted performance comparison experiments with the other two semi-supervised learning algorithms on six benchmark datasets.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"363 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":"136207116","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 the Application of Multi-Sensor Data Acquisition Technology in the Internet of Things (IoT) Field 多传感器数据采集技术在物联网领域的应用研究

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070815

引用次数: 0

Design of Human Resource Management System Based on Cloud Platform 基于云平台的人力资源管理系统设计

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070707

{"title":"Design of Human Resource Management System Based on Cloud Platform","authors":"","doi":"10.23977/acss.2023.070707","DOIUrl":"https://doi.org/10.23977/acss.2023.070707","url":null,"abstract":"With the rapid development of the Internet, we have entered an era of information globalization, and cloud computing technology has developed vigorously in recent years. At present, there are many systems about human resource management, but most of them have some problems of varying degrees of expansion, which cannot meet the requirements of managing complex human resource information, and cannot control the hardware cost. This paper innovatively combines cloud computing technology with human resource management system (HRMS), and designs a simple human resource management system through GAE cloud platform and JSP technology, which effectively solves the above problems. This paper studies the key technologies used by the GAE cloud platform and the GAE data storage area based on BigTable Datastore. By using distributed data reading and storage, it can cope with massive information access requests, and the storage and query performance of the human resource management system can be greatly optimized. It reduces the cost of IT construction and operation and maintenance, so that enterprises can put more energy into the core business of human resource management. The new system is more convenient and economical than ordinary HRMS and has huge advantages. The cloud computing platform will also become an important direction for the development and improvement of HRMS in the future.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"19 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":"135498071","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 and Implementation of Blockchain-based Anti-Counterfeit Traceability System for Beef Cattle Products 基于区块链的肉牛产品防伪溯源系统的设计与实现

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070709

{"title":"Design and Implementation of Blockchain-based Anti-Counterfeit Traceability System for Beef Cattle Products","authors":"","doi":"10.23977/acss.2023.070709","DOIUrl":"https://doi.org/10.23977/acss.2023.070709","url":null,"abstract":"Aiming at beef cattle product quality safety, the traditional anti-counterfeit traceability methods have serious data centering. To guarantee data security and reliability, this paper adopts blockchain technology with traceability characteristics, takes beef cattle products as the research object, constructs a supply chain traceability model of beef cattle products based on blockchain technology, and builds an anti-counterfeiting traceability system based on Hyperledger Fabric platform. The organizations at the management end of the same supply chain use the snowflake algorithm to generate corresponding IDs, which are interrelated with each otherand then combine the traceability ID, blockchain, and QR code to realize anti-counterfeiting traceability, finally complete data verification between the traceability ID and local information and return relevant information. At the same time, to guarantee the security of the QR code, the improved RSA algorithm is used to generate the key pair, the public key is used for encryption, and the private key is used to generate the encrypted QR code for the traceability ID, and the consumer can obtain the traceability ID by scanning the code and decrypting it. In order to verify the effectiveness of the RSA algorithm and the performance of the anti-counterfeiting traceability system, the system is tested and applied in this paper, and the test results show that the anti-counterfeiting function of the traceability system is realized, and the system performs well without the phenomenon of chain code collapse. Meanwhile, it is found that the efficiency of the consensus algorithm of various organizations needs to be improved, to ensure anti-counterfeiting traceability.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"118 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":"135498076","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

Study on the Simulation and Optimization of Pedestrian Flow in Metro Stations Based on Anylogic 基于Anylogic的地铁车站行人流仿真与优化研究

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070907

{"title":"Study on the Simulation and Optimization of Pedestrian Flow in Metro Stations Based on Anylogic","authors":"","doi":"10.23977/acss.2023.070907","DOIUrl":"https://doi.org/10.23977/acss.2023.070907","url":null,"abstract":"Metro stations, as the distribution center for metro passengers, queuing and congestion are very serious during peak commuting hours or when there is a sudden influx of passengers. Based on the example of Yuzhi Road Station of Beijing Metro Line 8, this paper analyzes the characteristics of passenger flow distributed in the station, using Anylogic to simulate the behavior of pedestrians and trains in and out of metro stations, the data of security queues and the average speed of pedestrians are calculated to analyze the rationality of the design of metro stations, and to propose the optimization of the number and speed of the security queues, and to check the optimization effect through modeling simulation and data statistics to provide reference for the operation management of metro stations and to avoid pedestrian congestion. Using Anylogic software to simulate the behavior of pedestrians and the entry and exit of trains in the subway station, the data of security queues and the average speed of pedestrians are calculated to analyze the rationality of the design of metro stations, and to propose the optimization of the number and speed of the security queues, and to check the optimization effect through modeling simulation and data statistics to provide reference for the operation management of metro stations.","PeriodicalId":495216,"journal":{"name":"Advances in computer, signals and systems","volume":"25 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":"135611059","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

The Construction and Research and Analysis of the Environmental Protection Platform of Old Things in Smart Campus 智慧校园旧物环保平台的构建与研究分析

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070611

引用次数: 0

Research on the Migration Algorithm of Mobile Cloud Computing 移动云计算迁移算法研究

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070615

引用次数: 0

Research on Lane Line Detection Based on Around View System 基于环视系统的车道线检测研究

Advances in computer, signals and systems Pub Date : 2023-01-01 DOI: 10.23977/acss.2023.070801

引用次数: 0