Zarkasi, Ahmad (2013) Ahmad Zarkasi, Aciek Ida Wuryandari, Multilayer processing architecture of RAM based neural network with memory optimization for navigation system. In: Rural Information & Communication Technology and Electric-Vehicle Technology (rICT & ICeV-T), 2013 Joint International Conference, 26-28 November 2013, Bandung-Indonesia.
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Abstract
Robots also have been trusted to help human to complete difficult jobs, for example, finding for the earthquake, a fire, or a sinking ship victims. The robot must be reliable, clever and moving automatically. The aim of this study is to develop and apply the application of artificial RAM-based neural networks (WNNs) on a mobile robot using a multilayer processing architecture with memory optimizations on to address and input pattern, so that producing smart navigation model which it has a simpler computational load and faster execution time. The gained result from the first study was the percentage of memory optimization in the amount of 50%. This result obtained from the formerly RAM using 8 bit data width has been optimized to 4 bits. Both of the percentage of data optimization pattern is 93.75%. This percentage is obtained from the optimization pattern (pattern taken is 4 bits MSB), each 1 bit data can handle 15 unseen patterns.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA174.A385 Engineering design--Data processing. Manufacturing processes--Data processing. Computer integrated manufacturing systems. Manufacturing processes--Automation. CAD/CAM systems. |
| Divisions: | 09-Faculty of Computer Science > 57201-Information Systems (S1) |
| Depositing User: | Ahmad Zarkasi |
| Date Deposited: | 28 Nov 2019 11:35 |
| Last Modified: | 28 Nov 2019 11:35 |
| URI: | http://repository.unsri.ac.id/id/eprint/19065 |
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