Publications of Khairulmizam Samsudin (kmbs)

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.

Keywords: Single system image, OpenMosix, MOSIX, performance

Keywords: Single System Image, NOWs (Network of Workstations), Load balancing algorithm, Distributed systems, OpenMosix, MOSIX

Keywords: PV, GA, solar tracking

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

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.

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

Keywords: circuit

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

Keywords: circuit

Keywords: circuit

Keywords: circuit

Keywords: circuit

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

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