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Articles by S. Sulaiman
Total Records ( 4 ) for S. Sulaiman
  S. Sulaiman , A. Hussain , N. Tahir , S.A. Samad and M.M. Mustafa
  The main objective of this study is to develop an algorithm that is capable of detecting the presence of human based on motion and background subtraction technique along with post-morphology processes to extract the foreground pixels from its background thus separating the human silhouette. The extracted silhouette information can later be used for traffic monitoring and analysis, human tracking and monitoring, video surveillance since silhouette-based technique tend to offer speed and simplicity. Results obtained indicate that the developed algorithm achieves its objective and successfully extract human silhouette from the analyzed video scenes.
  I. Ahmad and S. Sulaiman
  Soft tissue simulation is very important in medical simulation and learning procedures. But such simulations require intensive computing. Besides the fact that haptic devices allow touch and feel the virtual objects which increases realism in virtual environment, this imposes much higher requirement on speed and accuracy of computation. The reason is refresh rate for realistic visualization is 25 Hz while the refresh rate of the realistic haptic rendering is 1000 Hz. In this study, an efficient approach for refining a varied area triangular mesh for Visio haptic deformation is presented. The mesh refines adaptively upon contacted by a force feedback device. The proposed algorithm guarantees smooth local deformation as the triangles with larger area are divided more as compared to small area triangles. After subdividing the contacted region, new masses, mass spring constants and dampers are assigned to maintain the original mesh properties. The proposed method is most suitable for manually designed model in 3D modeling software. We integrate our algorithm with the physics based Mass Spring Model for real time deformation.
  K. Singh , S. Sulaiman , M. Ismail and K. Jumari
  In this study, a Location Determining Technique (LDT) to determine the approximate position of a cellular mobile user in a suburban environment is presented. This LDT uses Signal Correlation Method (SCM) where the Received Signal Strength (RSS) of one Node B is used to approximate the location of the 3G data user in a suburban environment. A new training technique called Unique Sample Undefined Collection (USUC) is introduced for SCM which uses Neural Network to match the current RSS with stored signal strength of Node Bs detected around the User Equipment (UE). With this new technique, the Cumulative Distribution Function (CDF) for location estimation at 67% error distance between the simulated samples and the actual positions of UE was significantly reduced from 379 to 107.4 m, while at 95% of the simulated samples, the error distance remains approximately the same, at 379 m. SCM-USUC may not be suitable for emergency location search but should be utilized by Universal Intelligent Positioning System (UIPS) for tracking location of UE when data or voice services are used especially in larger cell areas, such as in suburban environment.
  E.A. Aziz , A.S. Abdul Razak , S. Sulaiman , H.A. Halim , Mir Sujaul Islam , N.A. Zainodin and W.A. Wan Omar
  Removal of methyl red from aqueous solution onto coconut husks and coconut shell, a low cost agricultural waste material in a batch process was investigated. Adsorption and removal was studied as a function of amount of adsorbent (0.02-0.08 g), pH (2.0-12.0) and initial concentration (200-800 mg L–1). Adsorption data were modeled using Langmuir, Freundlich and Tempkin adsorption isotherm models. Equilibrium data of the biosorption process fitted very well into Langmuir isotherm model. The maximum adsorption capacity was approximately 71 mg g–1 for both coconut husks and coconut shell at an optimum pH 12. Adsorption kinetic was verified by pseudo-first order and pseudo-second order kinetic models. The results indicated that the dye uptake process followed the pseudo-second order which suggest that adsorption of the dye was through a chemical sorption. From the removal experiments, the results indicated that coconut husks and coconut shell could not effectively be employed as a low-cost adsorbent for the removal of basic dyes (methyl red) from aqueous solution as its removal is concentration dependent.
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