Abdul Syukor Mohamad Jaya

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Employment of robots in manufacturing has been a value-added entity in a manufacturing industry. Robotic simulation is used to visualize entire robotic application system, to simulate the movement of robot arm incorporated with components consist in its environment and to detect collision between the robot and components. This paper presents result of a(More)
Face Recognition is a computerized biometric modality which automatically identifies an individual's face for the purpose of recognition. The ability to recognize human faces can be categorized under two senses, the former is the biometric identification and the later is the visual perception. The biometric identification can be done by obtaining a person's(More)
In this paper a new application of fuzzy logic to predict the performance of Titanium Aluminum Nitride (TiAlN) sputtering coating process is presented. Titanium Aluminum Nitride (TiAlN) coated material is widely used as a cutting tool in machining due to its excellent properties such as hardness, roughness and wear. A fuzzy logic model was proposed to(More)
In this paper, a new approach in predicting the Titanium Nitrite (TiN) coating roughness using fuzzy logic is implemented. Insert cutting tools were coated with TiN using Physical Vapor Deposition (PVD) sputtering process. Central cubic design (CCD) was used to design the optimum experimental point and the collected experimental data was used to develop the(More)
Recognizing Faces helps to name the various subjects present in the image. This work focuses on labeling faces on an image which includes faces of humans being of various age group (heterogeneous set). Principal component analysis concentrates on finds the mean of the data set and subtracts the mean value from the data set with an intention to normalize(More)
In this paper, a new approach in predicting the hardness of Titanium Aluminum Nitrite (TiAlN) coatings using hybrid RSM-fuzzy model is implemented. TiAlN coatings are usually used in high-speed machining due to its excellent surface hardness and wear resistance. The TiAlN coatings were produced using Physical Vapor Deposition (PVD) magnetron sputtering(More)
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