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Design And Implementation Of The Automatic Collection And Tracking System For Confidential Documents And Information

Posted on:2018-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:L YuFull Text:PDF
GTID:2428330515955820Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Document management is the most important part of office daily routine for all offices,businesses and independent non-profit institutions.The management of confidential documents mainly refers to the registration,distribution,signing,circulation,filing or return of confidential or important documents.The need to collect information exists at every link from collecting,filing to return,which should include information about the documents,the operator with signature and instructions of the document etc.The archive of an organization is one of the most important resources,which has a significant role in the office routine and running of the organization.Due to its importance and the complex nature of document management,it remains an urgent issue to access information of the confidential documents and track its circulation effectively.This thesis analyses in depth the operation mode,the characteristics of the component parts and the bar code of the document with an explanation of the difficulties of and the process of the solutions to them during the development of the system.The realization of the management of confidential documents based on the.NET platform enables the system to automatically identify bar code for documents through identification devices for general purposes and automatically collect documents' information.By tracking the bar code of the documents,it can keeps an immediate record of the documents,thus solving the issues like repetitive work that requiring much labor,the difficulty of tracking and searching and also the possible errors caused by manual work.This system is applicable to most of the government offices,businesses and independent non-profit institutions.
Keywords/Search Tags:.NET, Confidential Document, Automatic Collection of Information
PDF Full Text Request
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