Implementation of Artificial Neural Network in Concurrency Control of Computer Integrated Manufacturing (CIM) Database

International Journal of Computer Science and Security

P. Raviram¹  R.S.D. Wahidabanu¹ 

[1]$$

关键词: Concurrency control;    locks;    backpropagation algorithm;    neural network;    CIM database;    Knowledge management;   

DOI  :  

来源: Computer Science and Security

【 摘 要 】

Manufacturing database store large amount of interrelated data. The designersaccess specific information or group of information in the data. Each designeraccessing an entity tries to modify the design parameters meeting therequirements of different customers. Sister concerns of the same group ofcompany will be modifying the data as per design requirements. Wheninformation is updated with new modification by different group of designers,what is the order in which modification of the data has to be allowed. Ifsimultaneous access of the information is done, how to maintain the consistencyof the data. and a designer voluntarily corrupts the data, how to make sure thedesigner is responsible for the corruption of data. In any case if the transactionprocess corrupts the data, how to maintain the consistency of the data. Deletingthe information wantedly can be identified with extra security for the data.However, when transaction protocol is not implemented properly, then corruptionof data in the form of misleading information that showing less numerical valuethan what it has to be or showing more numerical than before updation. In thisresearch work, we have proposed a neural network method for the managing thelocks assigned to objects and the corresponding transactions are stored in a datastructure. The main purpose of using the ANN is that it will require less memoryin storing the lock information assigned to objects. We have attempted to usebackpropagation algorithm for storing lock information when multi users areworking on computer integrated manufacturing (CIM) database.

【 授权许可】

Unknown