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Search Results: 1 - 10 of 461857 matches for " A. Mamat "
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Mathematical model of cancer treatments using immunotherapy, chemotherapy and biochemotherapy
M. Mamat,Subiyanto,A. Kartono
Applied Mathematical Sciences , 2013,
Abstract: In this paper, mathematical model of cancer treatments have been presentedand analyzed using coupled ordinary differential equations (ODEs). This model describescancer growth on a cell population level with combination immunotherapy andchemotherapy treatments are often called biochemotherapy. This model also describes theeffect of tumor infiltrating lymphocytes (TIL), interleukin-2 (IL-2) and interferon alpha(INF-a) on dynamics of tumor cells under the influence of immunotherapy,chemotherapy and biochemotherapy. Through this mathematical model, numericalsimulations of immunotherapy, chemotherapy and biochemotherapy for some cases suchas variation of tumor size and variation of parameter among patient 9 and patient 10 werepresented. Our result shown that for parameter set patient 9 and patient 10, thebiochemotherapy more effective than the immunotherapy and chemotherapy.
Numerical method for dam break problem using Godunov approach
M. F. Ahmad,M. Mamat,A. Kartono
Applied Mathematics and Computational Intelligence , 2013,
Abstract: In this study a numerical scheme was developed in order to overcome the problem of shock wave for the test case of dam break. The numerical scheme was based on Godunov approach of finite volume method to solve the shallow water equation. In order to expedite and improve the solution an approximate Roe’s Riemann solver associated with Monotone Upstream-centred Scheme for Conservation Laws (MUSCL) was applied. The results were presented in one and two dimensional and verifications were made with analytical solution. The results are comparable and a good agreement is achieved between numerical and analytical.
Development of dynamics and synchronization model for coupled neurons using Hindmarsh-Rose model
M. Mamat,P. W. Kurniawan,A. Kartono
Applied Mathematical Sciences , 2013,
Abstract: This paper presents development of dynamics and synchronization of coupledneurons using the Hindmarsh-Rose neuron model. Time-scales of both slow-fastvariables are added to reduce the number of simulation time. By this method, wecan analyze different pattern of synchronization of two systems by givingdelayed-times in fast variable and different time-scales in slow variable. Sigmoidfunction is applied to combine two neurons that have a synapses strength aschemical coupled. Delayed-times signal propagations between nerve cells madegap oscillating motion and offset by time time-scales in slow. In biologicallyrelevant gap time signal propagation relatively small, we applied to our simulationexperimental study. Meanwhile synapses strength exhibited joining the twoneurons via diffusive synapse. In larger network systems this number is slightlysmall needed to make information transmitted surely inter neuron.Synchronization appearing both two neurons coupled and completesynchronization by increasing number of synapse strength. Moreover,synchronization both slow and fast systems are characterized separately.
The Development and Characterization of Zirconia-Silica Sand Nanoparticles Composites  [PDF]
Tahir Ahmad, Othman Mamat
World Journal of Nano Science and Engineering (WJNSE) , 2011, DOI: 10.4236/wjnse.2011.11002
Abstract: The present study aims to develop zirconia-Silica sand nanoparticles composites through powder processing route and to study the physical properties, mechanical properties and microstructure of the composites. Zirconia based silica sand nanoparticles composite with 5, 10, 15 and 20 wt.% were developed through powder processing technique and sintered at 1500 ℃ for two hours. A decreasing trend of green density however an improvement in sintered density was observed. Also the addition of silica sand nanoparticles with 20 wt.% increased the hardness up to 12.45 GPa and microstructures indicated the diffusion mechanism of silica sand nanoparticles into pore sites of the composites.
Effect of Conduction Pre-heating in Au-Al Thermosonic Wire Bonding  [PDF]
Gurbinder Singh, Othman Mamat
Journal of Surface Engineered Materials and Advanced Technology (JSEMAT) , 2011, DOI: 10.4236/jsemat.2011.13018
Abstract: This paper presents the recent study by investigating the vital responses of wire bonding with the application of conduction pre-heating. It is observed through literature reviews that, the effect of pre-heating has not been completely explored to enable the successful application of pre-heating during wire bonding. The aim of wire bonding is to form quality and reliable solid-state bonds to interconnect metals such as gold wires to metalized pads deposited on silicon integrated circuits. Typically, there are 3 main wire bonding techniques applied in the industry; Thermo-compression, Ultrasonic and Thermosonic. This experiment utilizes the most common and widely used platform which is thermosonic bonding. This technique is explored with the application of conduction pre-heating along with heat on the bonding site, ultrasonic energy and force on an Au-Al system. Sixteen groups of bonding conditions which include eight hundred data points of shear strength at various temperature settings were compared to establish the relationship between bonding strength and the application of conduction pre-heating. The results of this study will clearly indicate the effects of applied conduction pre-heating towards bonding strength which may further produce a robust wire bonding system.
Measuring the Performance of Peer-to-Peer Systems with Social Networks Characteristics
A. Modarresi,A. Mamat,H. Ibrahim,N. Mustapha
Journal of Applied Sciences , 2008,
Abstract: In social system, people with similar interests gather and create a community. This structure organizes people effectively and makes sharing information easier. In sociology the behavior of such structures has been investigated for a long time. Fortunately this structure can be extended to Peer-to-Peer (P2P) systems. This is due to the fact that peers in P2P systems usually have few interests like people in the real world and they try to find other peers with similar interests. On the other hand, the structure of the underlying models in P2P has a direct effect on different aspect of such systems. In this study the performance related parameters of a P2P system with social network characteristics are measured by simulation. The result shows that using similar structure as same as real world inside a community produces better performance. In addition, flooding technique in such systems creates higher traffic than random structured model; however a simple controlled flooding can provide a satisfaction result.
Modeling and Simulating Semantic Social Overlay Peer-to-Peer Systems
A. Modarresi,A. Mamat,H. Ibrahim,N. Mustapha
Journal of Applied Sciences , 2009,
Abstract: The complexity of Peer-to-Peer (P2P) systems makes their analytical evaluation complicated. To conquer this problem, simulation studies are usually used to evaluate such systems. However, evolution of P2P systems, from simply a Gnutella-like network to advanced overlays, makes their comparison difficult in a similar condition. Using different inputs, outputs and datasets is the main cause of this problem. On the other hand, network simulators cannot be used for such systems because of high scalability and dynamicity of P2P systems. Most network simulators can simulate few nodes in high detail without considering dynamicity of systems. In this study, a generic model, parameters and datasets are presented and used to design a flow-based P2P simulator with the capability of implementing different P2P protocols to simplify the evaluation of P2P systems. Then, the behavior of a semantic social overlay P2P system is investigated and compared with two various types of overlays, namely random and interest-based systems to show the applicability of the simulator. Although three different types of overlays have been chosen, the generic model and selected parameters used in the proposed simulator provide a uniform environment to evaluate and compare different types of overlays in similar conditions.
An Electronic Nose for Reliable Measurement and Correct Classification of Beverages
Mazlina Mamat,Salina Abdul Samad,Mahammad A. Hannan
Sensors , 2011, DOI: 10.3390/s110606435
Abstract: This paper reports the design of an electronic nose (E-nose) prototype for reliable measurement and correct classification of beverages. The prototype was developed and fabricated in the laboratory using commercially available metal oxide gas sensors and a temperature sensor. The repeatability, reproducibility and discriminative ability of the developed E-nose prototype were tested on odors emanating from different beverages such as blackcurrant juice, mango juice and orange juice, respectively. Repeated measurements of three beverages showed very high correlation (r > 0.97) between the same beverages to verify the repeatability. The prototype also produced highly correlated patterns (r > 0.97) in the measurement of beverages using different sensor batches to verify its reproducibility. The E-nose prototype also possessed good discriminative ability whereby it was able to produce different patterns for different beverages, different milk heat treatments (ultra high temperature, pasteurization) and fresh and spoiled milks. The discriminative ability of the E-nose was evaluated using Principal Component Analysis and a Multi Layer Perception Neural Network, with both methods showing good classification results.
A Component-Oriented Programming for Embedded Mobile Robot Software
Dayang N. A. Jawawi,Rosbi Mamat,Safaai Deris
International Journal of Advanced Robotic Systems , 2008,
Abstract: Applying software reuse to many Embedded Real-Time (ERT) systems poses significant challenges to industrial software processes due to the resource-constrained and real-time requirements of the systems. Autonomous Mobile Robot (AMR) system is a class of ERT systems, hence, inherits the challenge of applying software reuse in general ERT systems. Furthermore, software reuse in AMR systems is challenged by the diversities in terms of robot physical size and shape, environmental interaction and implementation platform. Thus, it is envisioned that component-based software engineering will be the suitable way to promote software reuse in AMR systems with consideration to general requirements to be self-contained, platform-independent and real-time predictable. A framework for component-oriented programming for AMR software development using PECOS component model is proposed in this paper. The main features of this framework are: (1) use graphical representation for components definition and composition; (2) target C language for optimal code generation with resource-constrained micro-controller; and (3) minimal requirement for run-time support. Real-time implementation indicates that, the PECOS component model together with the proposed framework is suitable for resource constrained embedded AMR systems software development.
Design and analysis bidirectional chaotic synchronization of Rossler circuit and its application for secure communication
A. Sambas,M. Sanjaya W. S.,M. Mamat,Halimatussadiyah
Applied Mathematical Sciences , 2013,
Abstract: Synchronization is considered as the complete coincidence of the states ofindividual systems. Such a regime can result from an interaction betweensystems or subsystems, as well as from the influence of external noisy orregular fields. In this paper, we have performed the design and numericalsimulation of the synchronization between two identical coupled Rossler circuits andapplied to a security system of communication. We have demonstrated insimulations that chaotic systems can be synchronized and this technique can beapplied to signal masking communications by using MATLAB and MultiSIMprograms. All simulations results performed on Rossler system, verify the applicableof secure communication.
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