2019 Vol.2 Oct. No.5

• Title: Research on the Construction of Drug Detection Data Management System Based on Big Data
• Name: Kyriakos Yamato
• Company: Waseda University
• Abstract:

  The traditional drug detection data management system has the disadvantages of limited sub-menu generation rate and uneven distribution of management rights. In order to solve the above problems, a new drug detection data management system based on big data is designed. Through the .NET framework to build, B / S detection module design two steps to complete the new system hardware operating environment to build. On this basis, through the MyEclipse node to determine, detect the flow determination and E-R data total determination three steps, complete the construction of the new system software operating environment, to achieve the smooth operation of the data management system based on big data drug detection. The experimental results of the simulation system operating environment show that compared with the traditional system, after applying the new system, the problem of uneven distribution of management rights is effectively improved under the premise that the sub-menu generation rate is improved.

  
  

• Keyword: big data; drug testing; data management; .NET framework; B/S module; MyEclipse node; detection throughput; E-R data;
• DOI: 10.12250/jpciams2019050556
• Citation form: Kyriakos Yamato.Research on the Construction of Drug Detection Data Management System Based on Big Data[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 21-25.

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