Design And Implementation Of Integrated Management System For School Yard Development

In recent years,the rapid development of cloud technology has been applied to many fields,which makes it possible to combine cloud technology to complete the comprehensive management of school-enterprise development.Using the Internet information technology combined with cloud technology to design a set of integrated management system in the college factory development,not only can improve we the cooperation between universities and companies,but also provide more opportunities to university students participate in the enterprise internship,and improve students' comprehensive skills,as well as improve the ability of enterprises to train high-quality employees.The main tasks of the thesis are as follows:(1)Analyze the current situation of the comprehensive management of the development of factory in college at home and abroad,clarify the deficiencies,advantages and disadvantages of the comprehensive management of the development of factory in college,and determine the functional and non-functional requirements of the comprehensive management of the development of factory in college.The integrated management system for the development of the factory in college will be developed by Java language,and SQL Server 2016 is selected as the database.At the same time the development and designing of the system is combined with cloud technology,information extraction and content recommendation of student resume recommendation algorithm and ID3.(2)Design and achieve the seven function modules of the system,such as: Enterprise data module,student training module,training supervision,employment analysis module,project development module,information bulletin module,system management module,etc.The overall architecture design,the main function module design and the realization process of each function module of the system will be elaborated in detail.(3)The text information extraction method is mainly introduced,and the rule-based information extraction method is proposed to process the basic information of resume,and the extraction method based on statistical machine learning is selected for complex information processing.At the same time,the feasibility and effectiveness of this algorithm based on information extraction and content recommendation are verified by simulation experiments.(4)The ID3 algorithm based on genetic algorithm is adopted to improve the algorithm.In the employment analysis function module,decision tree algorithm,genetic algorithm can be used to partition the data and process the existing rules of employment data,at the same time,the second building of the segmented employment data rules are constructed,the thesis has clarified basic information of employment,employment direction and the relationship among enterprises,achieved the graduate employment statistics and forecasted of employment direction.The system has been applied in some universities.This system combines college students with major enterprises,which provides students with more opportunities for employment recommendation and internship,provides enterprises with the conditions for the cultivation of high-quality employees,and provides colleges and universities with more opportunities for win-win cooperation with enterprises.