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Design And Implementation Of Enterprise Employee Health Management System Based On AP Clustering Algorithm

Posted on:2022-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:J F LuFull Text:PDF
GTID:2518306518955019Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In the wave of social and economic development,great changes have taken place in the management mode of enterprises,in which the most important concept,"people-oriented",has been introduced,which enables enterprise managers to carry out management work in a more humane manner.In order to prevent long-term hard work from causing adverse effects on employees' health,and at the same time to prevent adverse factors existing in the actual working environment from causing damage to employees' health,enterprises are committed to creating a healthier working environment.In the process of arranging employees' posts,they also combine more of their physical health and psychological needs.Strive to achieve the goal of scientific and comprehensive management of employees' occupational health management.Therefore,This paper is about ASP.NET The design and implementation of enterprise employee health management system based on AP clustering algorithm.Firstly,the specific functions of employee health management system are investigated,including employee management,which mainly includes five main functions: employee management,medical testing data management,personal health management,personal health file retrieval and personal health assessment.Non-functional requirements analysis from the number of concurrency,retrieval response time to put forward specific requirements.In the aspect of system outline design,it combines the system logic architecture design,functional module design and network topology design to build the overall design of the system,followed by the database design.Starting from the density peak clustering,through the analysis and improvement of AP clustering algorithm,this paper designs a set of improved AP clustering algorithm in line with the enterprise employee health management,aiming to better make the big data technology reference to the system,and effectively realize the intelligence of the system.Then,combined with the Visio tool,this paper makes a detailed design of the functional structure of the employee health management system,and realizes the design of the personalized service system according to the design of the algorithm of the health management system,and then realizes the system through the design of database access,security and privacy information protection.Finally,the system is tested,and the test shows that the system can be applied to the normal employee health management,which improves the monitoring of employee health data,and is helpful for enterprises to grasp the health of employees.Strong employees pay attention to their personal health at any time.
Keywords/Search Tags:density peak clustering, health assessment, health data
PDF Full Text Request
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