Publications of Khairulmizam Samsudin (kmbs)

[2] M. A. M. Azau, A. F. Abas, M. I. Saripan, W. A. Wan Adnan, N. K. Noordin, A. Ismail, M. Mokhtar, K. Samsudin, S. Mashohor, M. F. A. Rasid, R. S. A. Raja Abdullah, and F. Arif. Implementation of continuous-grouped-self-learning (CGSL) system in engineering education. International Education Studies, 1(4), November 2008. [Indexed by AMICUS].
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[3] Syamsiah Mashohor, Khairulmizam Samsudin, Amirullah M. Noor, and Adi Razlan A. Rahman. Evaluation of genetic algorithm based solar tracking system for photovoltaic panels. In IEEE International Conference on Sustainable Energy Technologies (ICSET 2008), Singapore, November 2008. IEEE. [to be published] [Indexed by EI Compendex].
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[4] Mohd Azrin Mohd Azau, Yong Kim Haur, Rajeshwari Kanesin, Syamsiah Mashohor, and Khairulmizam Samsudin. Development of a solar tracker for photovoltaic assessment system. In Seminar on Progress of Solar Energy Research and Development, Pusat Tenaga Malaysia, October 2008. [To be published].
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[5] Ali Javan and Khairulmizam Samsudin. Coordinator Association Approach to Mobile Agent based Intrusion Detection System. In 4th Distributed Frameworks for Multimedia Applications, Penang, Malaysia, October 2008. [To be published].
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[6] Khairulmizam Samsudin, Faisul Arif Ahmad, Syamsiah Mashohor, and Norfadzilah Mohd Latif. Comparison of direct and incremental Genetic Algorithm for optimization of Ordinal Fuzzy controllers. In Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD2008), pages 128-134, Phuket, Thailand, August 2008. IEEE Computer Society.
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Conventional fuzzy logic controller is applicable when there are only two fuzzy inputs with usually one output. Complexity increases when there are more than one inputs and outputs making the system unrealizable. The ordinal structure model of fuzzy reasoning has an advantage of an easier approach of setting the rules with multiple inputs and outputs. This is achieved by giving an associated weight to each rule in the defuzzification process. An ordinal fuzzy logic controller has been designed with application for obstacle avoidance of Khepera mobile robot. Implementation show that ordinal structure fuzzy is easier to design compared to conventional fuzzy controller. However finding the best weight for each rule is a large and complex search problem. A specially tailored Genetic Algorithm (GA) approach has been proposed to find the best weight value for each rule in the ordinal structure fuzzy controller. In this work, the comparison of direct and incremental GA for optimization of the controller is presented. Simulation results demonstrated significantly improved obstacle avoidance performance of incremental GA optimization of ordinal fuzzy controllers compared to direct GA optimized controller.
[7] A. F. Abas, M. A. M. Azau, M. I. Saripan, W. A. W. Adnan, N. K. Noordin, A. Ismail, M. Mokhtar, K. Samsudin, S. Mashohor, M. F. A. Rasid, and R. S. A. R. Abdullah. Innovative Continuous-Grouped-Self-Learning (CGSL) system in engineering education, evolution in engineering teaching methodology and assessment methods. In International Conference on Engineering Education (ICEE 2008), pages 31-34, Pec-Budapest, Hungary, July 2008.
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[8] Bestoun S. Ahmed, K. Samsudin, Abdul Rahman Ramli, and ShahNor Basri. A descriptive performance model of a load balancing single system image. In 2008 Second Asia International Conference on Modelling & Simulation (AMS), pages 180-184, Los Alamitos, CA, USA, May 2008. IEEE Computer Society. [Indexed by Scopus].
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Keywords: Single system image, OpenMosix, MOSIX, performance
[9] Bestoun S. Ahmed, Khairulmizam Samsudin, and Abdul Rahman Ramli. Benchmark framework for a load balancing single system image. International Journal of Computer Science and Network Security (IJCSNS), 8(5):320-333, May 2008.
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[10] Bestoun S. Ahmed, Khairulmizam Samsudin, Abdul Rahman Ramli, and ShahNor Basri. Toward descriptive performance model for openmosix cluster. In 13th International CSI Computer Science 2008, Communications in Computer and Information Science, page 111, Kish Island, Iran, March 2008. Springer-Verlag.
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[11] Amirullah M. Noor, Adi Razlan A. Rahman, Syamsiah Mashohor, and Khairulmizam Samsudin. GA-Solar: A simulation of Genetic Algorithm based solar tracking system for Photovoltaic panels. In 1st Engineering Conference: Energy and Environment (EnCon2007), pages 293-296, Kuching, Sarawak, Malaysia, December 2007.
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Keywords: PV, GA, solar tracking
[12] Faisul Arif Ahmad, Khairulmizam Samsudin, Marzuki Khalid, and Rubiyah Yusof. Obstacle avoidance of mobile robot using Ordinal Structure Model of Fuzzy Reasoning approach. In Malaysia-Japan International Symposium on Advanced Technology (MJISAT 2007), Kuala Lumpur, Malaysia, November 2007.
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A major challenge of an autonomous mobile robot is the large amount of uncertainty, unknown and incomplete information from their real environment. In this paper, we develop a fuzzy logic controller based on the ordinal structure model of fuzzy reasoning approach for Khepera micro-robots. The micro-robots are equipped with infrared (IR) proximity sensors and their objective is to avoid obstacles. The conventional fuzzy logic controller is applicable when there are only two fuzzy inputs and usually with one output, however, complexity increases when there are more inputs and outputs making the system unrealizable. The ordinal structure model of fuzzy reasoning has an advantage of an easier approach of setting the rules with multiple inputs and outputs which is done by giving an associated weight to each rule in the defuzzification process. The design of a fuzzy controller based on the ordinal structure model of fuzzy reasoning on the Khepera micro-mobile robots is to avoid obstacles. Results of the experiments show that not only the ordinal structure fuzzy controller is easier to design but it also has a better performance than conventional fuzzy controllers.
Keywords: Fuzzy, Ordinal Structure Model, mobile robot, obstacle avoidance
[13] A. Asenov and K. Samsudin. Nanoscaled Semiconductor-on-Insulator Structures and Devices, volume 2006 of NATO Security through Science Series, chapter Variability in Nanoscale SOI Devices and its Impact on Circuits and Systems, pages 259-302. Springer Netherlands, October 2007. [Indexed by Scopus].
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We have studied, using 3D statistical simulation, the variability in UTB SOI MOSFETs with sub 10nm dimensions introduced by random discrete dopants in the source/drain region, body thickness variation and line edge roughness. We have shown that the random dopants in the source/drain regions are the main source of variability in the studied devices. The results of the physical drift-diffusion simulation with quantum corrections are captured into statistical BSIMSOI compact model which are then used for statistical SRAM simulation. We have shown that SRAMs based on 10 nm UTB SOI transistor have less variability and better yield compared to SRAM based on 35 nm conventional (bulk) MOSFETs. However the scaling of the UTB SOI MOSFETs below 7.5 nm will cause significant yield and reliability problems in the corresponding UTB SOI SRAMs.
[14] K. Samsudin, F. Adamu-Lema, A.R. Brown, S. Roy, and A. Asenov. Combined sources of intrinsic parameter fluctuations in sub-25 nm generation UTB-SOI MOSFETs: A statistical simulation study. Solid-State Electronics, 51(4):611-616, April 2007. [Impact Factor =1.247 (2005)].
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The ultra thin body (UTB) SOI architecture offers a promising option to extend MOSFET scaling. However, intrinsic parameter fluctuations still remain one of the major challenges for the ultimate scaling and integration of UTB-SOI MOSFETs. In this paper, using 3D statistical numerical simulations, we investigate the impact of random discrete dopants, body thickness variations and line edge roughness on the magnitude of intrinsic parameter fluctuations in UTB-SOI MOSFETs. The sources of intrinsic parameter fluctuations, which can be separated in simulation, will occur simultaneously within a single MOSFET. To understand the impact of these sources of fluctuation in an actual device, simulations with all sources of intrinsic parameter fluctuations acting in combination have also been performed.
Keywords: UTB-SOI, MOSFET, Intrinsic parameter fluctuations, Random discrete dopants, Body thickness variation, Line edge roughness
[15] A. Asenov and K. Samsudin. Variability in nanoscale UTB SOI devices and its impact on circuits and systems. In Proceedings of the NATO Advanced Research Workshop on Nanoscaled Semiconductor-on-Insulator Structures and Devices, volume XIII of NATO Science for Peace and Security Series, Big Yalta, Ukraine, October 2006. Springer.
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[16] K. Samsudin, F. Adamu-Lema, A. R. Brown, S. Roy, and A. Asenov. Intrinsic parameter fluctuations in sub-10 nm generation UTB SOI MOSFETs. In 7th European Conference on Ultimate Integration of Silicon (ULIS), pages 93-96, Grenoble, France, April 2006.
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Keywords: circuit
[17] K. Samsudin, B. Cheng, A. R. Brown, S. Roy, and A. Asenov. Sub-25 nm UTB SOI SRAM cell under the influence of discrete random dopants. Solid State Electronics, 50(4):660-667, April 2006. [Impact Factor =1.210 (2004)].
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Intrinsic parameter fluctuations steadily increase with CMOS technology scaling. Around the 65 nm technology node, such fluctuations will eliminate much of the available noise margin in SRAM based on conventional MOSFETs. Device mismatch due to intrinsic parameter fluctuation causes each memory cell of the millions in a typical memory array to have different stability and performance. Ultra Thin Body (UTB) SOI MOSFETs are expected to replace conventional MOSFETs for integrated memory applications due to superior electrostatic integrity and better resistant to some of the sources of intrinsic parameter fluctuations. Using a statistical circuit simulation methodology which can fully capture intrinsic parameter fluctuation information into compact model, the impact of random discrete doping effects on 6T SRAM cell has been investigated for well scaled UTB SOI devices with physical channel length in the range of 10-5 nm. The impact of random doping in the source/drain regions of UTB SOI devices is quantified by changing the SRAM cell ratio and measuring the stability and performance during read and write operations. A comparison with the static noise margin characteristic of a 6T SRAM based on a conventional 35 nm MOSFET is also presented.
Keywords: circuit
[18] K. Samsudin, B. Cheng, A. R. Brown, S. Roy, and A. Asenov. Integrating intrinsic parameter fluctuation description into BSIMSOI to forecast sub-15nm UTB SOI based 6T SRAM operation. Solid State Electronics, 50(1):86-93, January 2006. [Impact Factor = 1.210 (2004)].
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Keywords: circuit
[19] Khairulmizam Samsudin. Impact of intrinsic parameter fluctuations in Ultra-Thin Body Silicon-On-Insulator MOSFET on 6-transistor SRAM cell. PhD thesis, Faculty of Engineering, University of Glasgow, 2006.
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[20] K. Samsudin, B. Cheng, A. R. Brown, S. Roy, and A. Asenov. Impact of random dopant induced fluctuations on sub-l5nm UTB SOI 6T SRAM cells. In IEEE International SOI Conference, pages 61-62, October 2005. [Indexed by Scopus].
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Keywords: circuit
[21] K. Samsudin, B. Cheng, A. R. Brown, S. Roy, and A. Asenov. UTB SOI SRAM cell stability under the influence of intrinsic parameter fluctuation. In 35th European Solid-State Device Research Conference (ESSDERC), pages 553-556, September 2005. [Indexed by Scopus].
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Keywords: circuit
[22] K. Samsudin, B. Cheng, A. R. Brown, S. Roy, and A. Asenov. Impact of body thickness fluctuation in nanometre scale UTB SOI MOSFETs on SRAM cell functionality. In 6th European Conference on Ultimate Integration of Silicon (ULIS), pages 45-48, Bologna, Italy, April 2005.
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Keywords: circuit
[23] S. J. Hashim, K. Samsudin, and A. R. Ramli. Bridging digital divide in the developing countries with Linux. In Open Source LINUX Conference, Kuala Lumpur, August 2002.
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The phenomenal growth of the Internet has opened great opportunities for knowledge sharing. The knowledge sharing ability leads to knowledge economy by superior technical competency. This in turns will bring greater quality of life to the people. However, most people living in the developing countries have been left untouched and unimpressed by this 'revolution', since it has failed to improve their lives. Within the boundaries of these countries, the ability of having access to Internet resources has been mostly to the ones who have the means. What has been considered a technical tool for technical people are now considered necessary resource. With all the information stored on the Internet, access to these resources must be provided at all community levels at a lower cost. GNU/Linux operating system provides the much cheaper alternative for the Internet community by its 'freedom' philosophy embodied in the GNU Public License.
Keywords: OSS
[24] K. Samsudin, A. R. Ramli, and I. Mat Yusoff. HSS16: A hardware simulator software for Persona 16. Jurnal Teknologi D (Electronics, Control, Telecommunications and Information Technology), (36):99-110, June 2002.
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Hardware Simulator Software for Pesona 16 (HSS16) is a simulated environment of the Pesona-16 microprocessor for execution of the host-code to enable parallel co-design and co-verification. The simulator core is a typical Instruction Set Simulation (ISS) model, also called Register Transfer Level (RTL) that incorporate an instruction simulation, debugging facility and devices interfacing. The simulator is developed with C and is capable of replacing the real hardware and are fully modularised. Additional microprocessor architecture and devices can be added without the need to rewrite the simulator.
Keywords: circuit, embedded
[25] Khairulmizam Samsudin. HSS16: A Hardware Simulator Software for Persona 16. Faculty of Engineering, Universiti Putra Malaysia, 2001. B. Eng Thesis.
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