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Articles by A. Hussain
Total Records ( 16 ) for A. Hussain
  S.A.R. Al-Haddad , S.A. Samad , A. Hussain , K.A. Ishak and A.O.A. Noor
  The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is a key issue in speech recognition. The algorithm is tested on speech samples that are a part of a Malay corpus. It is shown that the fusion technique can be used to fuse the pattern recognition outputs of DTW and HMM. Furthermore refinement normalization was introduced by using weight mean vector to obtain better performance. Accuracy of 94% on pattern recognition was obtainable using fusion HMM and DTW compared to 80.5% using DTW and 90.7% using HMM separately. The accuracy of the proposed algorithm is increased further to 98% by utilization the RLS adaptive noise cancellation.
  M.A. Hannan , A. Mohamed , A. Hussain and Majid al Dabbay
  This study describes the derivation of an analytical model and simulation for the unified series-shunt compensator (USSC) for investigating power quality in power distribution system. The USSC simulation comprises of two 12-pulse inverters which were connected in series and in shunt with the system. A generalized sinusoidal pulse width modulation (SPWM) switching technique was developed in the proposed controller for fast control action of the USSC. Simulations were carried out using the PSCAD/EMTDC electromagnetic transient programs to examine the performance of the USSC model. Simulation results from the proposed model demonstrated the performance of the USSC and its effectiveness for voltage sag compensation, flicker reduction, voltage unbalance mitigation, power flow control and harmonics elimination.
  D.A. Wahab , N.F. Adull Manan , M.A. Hannan , S. Abdullah and A. Hussain
  Today, intelligent safety systems are installed in modern cars in view of minimising road hazards. An intelligent air bag system for example, comprised several subsystems that are integrated to include the weight sensor system, image sensor system, crash sensor system and tyre pressure monitoring system. These systems when poorly positioned into the car seat, will certainly affect comfort and reliability of the car seat. This research presents the design work on an intelligent car seat, which is equipped with a load cell type-sensory system. The load cells are used to detect the weight of a passenger for the deployment of an air bag system. The proposed design is validated against displacement and stress analysis using an 80 kg load to simulate the weight of a passenger. Results from the design validation indicated that the proposed configuration and material is appropriate for use in the intelligent car seat application.
  S.A.R. Al-Haddad , S.A. Samad , A. Hussain and K.A. Ishak
  This paper is presents a pattern recognition fusion method for isolated Malay digit recognition using Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). The aim of the project is to increase the accuracy percentage of Malay speech recognition. This study proposes an algorithm for pattern recognition fusion of the recognition models. The endpoint detection, framing, normalization, Mel Frequency Cepstral Coefficient (MFCC) and vector quantization techniques are used to process speech samples to accomplish the recognition. Pattern recognition fusion method is then used to combine the results of DTW and HMM which uses weight mean vectors. The algorithm is tested on speech samples that are a part of a Malay corpus. This paper has shown that the fusion technique can be used to fuse the pattern recognition outputs of DTW and HMM. Furthermore it also introduced refinement normalization by using weight mean vector to get better performance with accuracy of 94% on pattern recognition fusion HMM and DTW. Unlikely accuracy for DTW and HMM, which is 80.5% and 90.7% respectively.
  M.A. Hannan , A. Mohamed , A. Hussain and Majid al Dabbay
  This study describes the derivation of an analytical model and simulation for the unified series-shunt compensator (USSC) for investigating power quality in power distribution system. The USSC simulation comprises of two 12-pulse inverters which were connected in series and in shunt with the system. A generalized sinusoidal pulse width modulation (SPWM) switching technique was developed in the proposed controller for fast control action of the USSC. Simulations were carried out using the PSCAD/EMTDC electromagnetic transient programs to examine the performance of the USSC model. Simulation results from the proposed model demonstrated the performance of the USSC and its effectiveness for voltage sag compensation, flicker reduction, voltage unbalance mitigation, power flow control and harmonics elimination.
  H. Zuo , Z. Shi , X. Hu , M. Wu , Z. Guo and A. Hussain
  Not available
  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.
  A. Hussain , B. Bais , S. A. Samad and S. Farshad Hendi
  In this research, a novel method employing the fusion technique of data in and feature out for determining the wake to sleep transition and vice versa is described. Inputs of the process are the Electrooculogram (EOG) and Head Nodding (HN) signals. The method involves a direct fusion of two pairs of signals consisting of the combination of EOG and head nodding signals to generate three new sets of data in the form of Lissajous-like plots. These Lissajous-like plots are further analyzed to extract the feature vector to represent the two states of awake and asleep. In turn, the extracted feature set is used to determine the state of alertness and/or sleepiness. The effectiveness of the derived feature vector from the fusion approach is evaluated and compared against the non-fusion based method. Results show that the fusion based approach fared better than the non-fusion method. This has implications for the application of the developed method in determining driver drowsiness.
  A. Hussain and C. Xinrong
  In this study, a research has been carried out for the design of an optimal core configuration for a TRISO fueled compact sized PWR core. This is a light water cooled and moderated reactor that employs TRISO fuel particles in zirconium-sheathed fuel rods. The combination of PWR technology and TRISO fuel has been preferred for research to get the benefits of TRISO fuel in terms of enhanced integrity against the release of fission fragments and high negative temperature coefficient of reactivity in well proven PWR technology. This PWR design possesses additional safety features associated with the default design of TRISO fuel particle, which makes its use suitable even in a densely populated area. The designed core can be utilized for heating and desalination purposes or at any remotely located research facility. The current research study has been focused on the core configuration, instead of selecting one of the standard fuel lattices which are mostly being used in nuclear power plants; an inventive fuel lattice has been suggested for the optimal design. The TRISO fuel particle size and fuel pitch have also been optimized to achieve a compact size core. Neutronic transport theory lattice code WIMS-D/4 was used for the calculation of group constants (D, Σa and vΣf) and infinite multiplication factor (k). This calculated data were used in diffusion theory code CITATION for the purpose of achieving effective multiplication factor (keff) and estimated life of the core. The detailed and thorough analyses revealed that core configuration plays a dominant role in determination of compactness and excess reactivity of the core. The amount of excess reactivity has been increased and core size has been condensed by designing an optimal core.
  M.Z. Ilyas , S.A. Samad , A. Hussain and K.A. Ishak
  This study describes two approaches of improving speaker verification in noisy environments. The first approach is implementation of a speaker verification classification technique base on hybrid Vector Quantization (VQ) and Hidden Markov Models (HMMs) in clean and noisy environments. The second approach is implementation of Adaptive Noise Cancelation (ANC) as pre-processing for noise removal. The motivation to implement hybrid classification technique is to improve the HMMs performance. It is shown that, by using the hybrid technique, an Equal Error Rate (EER) of 11.72% is achieved compared to HMM alone, which achieved 16.66% in clean environments. However, both techniques show degradation in noisy environments. In order to address these problems, an Adaptive Noise Cancellation (ANC) technique using adaptive filtering is implemented in the pre-processing stage due to its ability to separate overlapping speech frequency bands. Investigations using Least-Mean-Square (LMS), Normalized Least-Mean-Square (NLMS) and Recursive Least-Squares (RLS) adaptive filtering are conducted to find the best solution for the speaker verification system.
  M.S. Javadi , M.A. Hannan , S.A. Samad and A. Hussain
  The intelligence of the vehicle is identified by the surrounding environment. Lane detection is one of the vision-based features that used for assisting and controlling tasks for the intelligent vehicles. In this study, an overview of lane detection approaches is presented and then a model, based on inverse perspective mapping, edge detection and fitting lines algorithm is introduced. The system was tested on the urban road image data base in different light conditions. The performance of the system in term of lane marking detection was 97.2%. The results were accurate and robust with respect to the shadows and worn lane markings and also appropriate for real time procedure.
  S. Habib , M.A. Hannan , M.S. Javadi , S.A. Samad , A.M. Muad and A. Hussain
  Wireless communication technologies have emerged vehicular networks in the forms of Intra-Vehicle (InV), Vehicle-to-Vehicle (V2V) and Vehicle-to- Infrastructure (V2I) communications. These technologies enable a variety of applications for driver and passenger needs, such as safety, convenience and entertainment facilities incorporated into modern automobile designs. The researchers exploit the different services that will enable to exchange useful information with-inside and with-outside vehicle via vehicular networks. Vehicles exchange information about their state, view of current road, navigation information and other general information about weather report and digital map update. A key for exchanging information in timely manner is an opportunity to access the medium for longer life with low power consumption in various ranges. They provide high reliability without experiencing long and uncertain delay. Thus, widespread adoption of vehicular networks is fast becoming a reality, where additional functions will be provide by the car electronics and the passengers will be able to access the Internet and other core network resources. This study presents an overview of the potential wireless technologies for data exchange in a various ranges, its current research activities, issues and challenges that exist in each wireless technology.
  A. Hussain , S. Sasidharan , T. Ahmed , M. Ahmed and C. Sharma
  Cervical cancer is the second most common carcinoma in the world among women and is highly chemoresistant and radio resistant, often resulting in local treatment failure. For locally advanced disease, radiation is combined with low-dose chemotherapy; however, this modality often leads to severe toxicity. Prevention of cancer through dietary intervention recently has received an increasing interest, and dietary agents have become not only important potential chemopreventive, but also therapeutic agents when combined with chemotherapy or radiotherapy. In this study, we observed that gemcitabine was highly cytotoxic to both cancer and normal cells while clove extract (0.7-8 mg mL-1) was found to be comparatively more cytotoxic towards cancer cells. Notably, combination of low dose gemcitabine and ethanolic clove extract (2 and 3 mg mL-1) had more pronounced cytotoxic effect on cancer cells than single modalities. It is noteworthy that use of clove extract increased the efficacy of gemcitabine and importantly, it was found to be minimally toxic to normal cells. Together, these results suggest a novel mechanism may be involved in the synergistic effect of this combination.
  M.A. Hannan , A. Hussain , A. Mohamed and S.A. Samad
  The main objective of the study is to analyze Tire Pressure Monitoring System (TPMS) data that contributes significantly towards the enhancement of the intelligent vehicle performance evaluation. TPMS pressure and temperature data were collected from the prototype model of the MEMS Tire Pressure Module (TPM) that was fitted on to an intelligent tire rim through its receiver. In this study, we are focusing only analytical data analysis of TPMS. In the analytical study, a novel method for data classification, goodness of fit and hypothesis testing was proposed. A classification scheme was employed to classify the temperature and pressure data based on ID at the quadrant basis operating zone of the Front Right (FR), Front Left (FL), Rear Left (RL) and Rear Right (RR) tires. Principle Component Analysis (PCA) with polynomial fitting for exploring goodness of fit of tire data was also applied. Finally, hypothesis testing using Satterthwaite statistic was carried out. Results obtained are in agreement with the null hypothesis and as such validate the usefulness of the TPMS system in maintaining and enhancing vehicle performance.
  M.A. Hannan , R.A. Begum , M.F. Romely , A. Mohamed and A. Hussain
  The Power Quality (PQ) is one of the main issues in the Malaysian industries. The issue is not just a power quality but also loss of profit as well. Thus, the industrial PQ problem is an important area of research in term of classification, assessment and awareness development. This study developed a framework of survey design, data collection and an analytical model for the statistical classification of the PQ problem and its severity level in Malaysia based on the practical perception of industrial respondents. A statistical classification is done by affected equipments and the matching correlation value between PQ severity level and the normalization duration. The identified PQ Severity Factors (PQSF) are considered for different types of equipment for industrial PQ problem. The findings will assist in the formulation of appropriate policies that address the industrial PQ problem in Malaysia as well as indirectly improving the industrial PQ in the country.
  A. Hussain , M. E. Babar , S. Ali and Zia-ul-Hasan
  Data on 1816 darn-Iamb pairs of Rambouillet breed of sheep maintained at Livestock Experimental Station, Jaba, District Mansehra (NWFP) during the period 1957-86 were used to study the effect of body weight of ewes at service on birth weight of lambs. The weight of darn at service and birth weight of lamb averaged 48.66±1.14 and 3.67±0.08 kg, respectively. It has been observed that weight of the dam significantly effect the birth weight of lambs. The correlation and regression coefficients between the above mentioned two traits were 0.30 and 0.042±3.157×1-3. Analysis of variance of weight of the dam at service and birth weight of lambs due to regression revealed that this regression is statistically significant (p<0.01). The results of the present study indicated that the dams weight had a positive relationship with birth weight of lambs which will be helpful in the selection of young lambs even before their birth.
 
 
 
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