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Articles by R. Ramli
Total Records ( 2 ) for R. Ramli
  Z. Effendi , R. Ramli and J. A. Ghani
  Problem statement: Jatropha curcas has the potential to become one of the world’s key energy crops. Crude vegetable oil, extracted from the seeds of the Jatropha plant, can be refined into high quality biodiesel. Traditional identification of Jatropha curcas fruits is performed by human experts. The Jatropha curcas fruit quality depends on type and size of defects as well as skin color and fruit size. Approach: This research develops a back propagation neural networks to identify the Jatropha curcas fruit maturity and grade the fruit into relevant quality category. The system is divided into two stages: The first stage is a training stage that is to extract the characteristics from the pattern. The second stages is to recognize the pattern by using the characteristics derived from the first task. Back propagation diagnosis model is used to recognition the Jatropha curcas fruits. It is ascertained for the developed system is used in recognizing the maturity of Jatropha curcas fruits. This study presents a pattern recognition system of Jatropha curcas using back propagation. Results: By using back propagation, it gave an accuracy of about 95% based on our samples which used the twenty-seven images. The results produced by neural network were found to be more accurate due to its capability to distinguished complex decision regions. Conclusion: The training data set for back propagation had 4 levels of grading i.e., raw, fruit-aged, ripe and over ripe with twenty-seven images of Jatropha curcas fruits. At the end of the training, the neural network achieved its performance function by testing with a selected set of different images. The performance of the back propagation was satisfactory when incorporated with the software tool, since there were number of errors arising in categorizing.
  T.F. Go , D.A. Wahab , M.N. Ab. Rahman and R. Ramli
  Problem statement: It is expected that over the next few years type approval legislation and public awareness will force vehicle manufacturers to identify recovery methods during the design process in order to achieve reuse and recycling targets. Current vehicle design in Malaysia does not sufficiently aid the economic recovery of parts and materials to reach these targets. Approach: This study aimed to provide a framework for automotive components to be designed for ease of recovery. Disassemblability concept evolved from the life cycle engineering concept in which design for disassembly is one of the strategies in reducing the impact of the product to the environment. Results: The proposed methodology that consisted of three distinct elements namely implementing principles and guidelines of design for disassembly into the design, generating optimum disassembly using genetic algorithm approach and evaluating disassemblability of end-of-life products will be discussed. Conclusion/Recommendations: There is a need for effective disassembly in order to enhance the recovery of end-of-life product.The proposed methodology was implemented as a computer-based disassemblability evaluation tool that will enhance disassemblability of the product starting from the design stage.
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