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| Implementation of Artificial Neural Network in Concurrency Control of Computer Integrated Manufacturing (CIM) Database
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International Journal of Computer Science and Security (IJCSS) |
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Table of Contents |
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Volume: 2 Issue: 5 |
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Pages: 1-25 |
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Publication
Date: October 2008 |
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ISSN
(Online): 1985-1553 |
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Pages |
23 - 35 |
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Author(s) |
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Published
Date |
15-11-2008 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Concurrency control, locks, backpropagation algorithm, neural network, CIM database, Knowledge management |
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| Manufacturing database store large amount of interrelated data. The designers
access specific information or group of information in the data. Each designer
accessing an entity tries to modify the design parameters meeting the
requirements of different customers. Sister concerns of the same group of
company will be modifying the data as per design requirements. When
information is updated with new modification by different group of designers,
what is the order in which modification of the data has to be allowed. If
simultaneous access of the information is done, how to maintain the consistency
of the data. and a designer voluntarily corrupts the data, how to make sure the
designer is responsible for the corruption of data. In any case if the transaction
process corrupts the data, how to maintain the consistency of the data. Deleting
the information wantedly can be identified with extra security for the data.
However, when transaction protocol is not implemented properly, then corruption
of data in the form of misleading information that showing less numerical value
than what it has to be or showing more numerical than before updation. In this
research work, we have proposed a neural network method for the managing the
locks assigned to objects and the corresponding transactions are stored in a data
structure. The main purpose of using the ANN is that it will require less memory
in storing the lock information assigned to objects. We have attempted to use
backpropagation algorithm for storing lock information when multi users are
working on computer integrated manufacturing (CIM) database. |
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| P. Raviram : Colleagues
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| R.S.D. Wahidabanu : Colleagues
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