Abdul Wahab - Academia.edu (original) (raw)

Papers by Abdul Wahab

Research paper thumbnail of Preparation and Evaluation of Solid Dispersions of Ibuprofen Using Glucosamine HCl as a Carrier

British Journal of Pharmaceutical Research, 2013

The objective of the present investigation was to develop matrix solid dispersion (SD) of aceclof... more The objective of the present investigation was to develop matrix solid dispersion (SD) of aceclofenac sodium with modified gum karaya (MGK) in the drug carrier ratio of 1:1, 1:2, 1:4, 1:8 and 1: 10 (SD 1 to SD 10 ) and to study its functionality as a matrix forming agent for oral controlled release formulations. MGK was characterized and compared with GK through swelling index, water retention capacity and ATRFTIR. MGK showed comparable swelling index and water retention capacity to GK. The prepared solid dispersions were characterized for their ATRFTIR, drug content, and in vitro release studies followed by various release kinetics and mechanism of release. The drug release profile showed concentration dependent release retardant potential of natural polymer from 99.91 to 72.29 % (SD 1 to SD 10 ). Kinetic profile showed good linearity with zero order i.e. exhibiting concentration independent release of drug and Hixson Crowell cube root law (r 2 = 0.848 to 0.925) demonstrating that the drug release from the SD was erosion based. Korsmeyer pepas model provide n values of 0.566 to 0.788 suggestive of release mechanism was non-Fickian or anomalous release (0.45 < n < 0.89), which point towards drug release follows both diffusion and erosion mechanism. The drug content was found to be between 99.39 % and 100.83% representative of drug uniformity in various formulation batches.

Research paper thumbnail of 2D affective space model (ASM) for detecting autistic children

2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 2011

Abstract There are many research works have been done on autism cases using brain imaging techniq... more Abstract There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in ...

Research paper thumbnail of MFCC for robust emotion detection using EEG

2009 IEEE 9th Malaysia International Conference on Communications (MICC), 2009

This paper proposes an emotion recognition system based on the Mel Frequency Cepstral coefficient... more This paper proposes an emotion recognition system based on the Mel Frequency Cepstral coefficient (MFCC) of the bio-signals. Using gathered data under psychological emotion stimulation experiments, 4 types of emotions, happy, fear, sad and calm are classified. MLP is used as the classifiers. Experimental results show potential of using this technique to verify emotion based on the EEG signals of accuracy up to 90% can be achieved. This shows the potential of using the MFCC-MLP approach to detect basic emotions using EEG signals from the brain scalp.

Research paper thumbnail of Time reversal in attenuating acoustic media

Contemporary Mathematics, 2011

In this paper we consider the problem of reconstructing sources in attenuating acoustic media usi... more In this paper we consider the problem of reconstructing sources in attenuating acoustic media using a time-reversal technique. We first justify the use of the adjoint of the attenuated wave operator instead of the ideal one for modifying the time-reversal process as a first order correction of the attenuation effect. Then we present a modified approach for higher order corrections. We use a thermo-viscous law model for the attenuation losses.

Research paper thumbnail of Post accident analysis of driver affection

2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 2011

In this research paper, we proposed to understand and analyzed the driver behavior through affect... more In this research paper, we proposed to understand and analyzed the driver behavior through affective space model which allows the emotion to be represented in valance(V) and arousal(A). Through this analysis, we can determine correlation between driver behavior and basics emotion which will gain such agreement by psychologists in this area. Besides, through the VA, it will let us to

Research paper thumbnail of A new friends sort algorithm

2009 2nd IEEE International Conference on Computer Science and Information Technology, 2009

Sorting algorithms and the sorting itself is an important concept in computational field. In this... more Sorting algorithms and the sorting itself is an important concept in computational field. In this research study, we are proposing a unique sorting algorithm, based on assuming the first value as smallest and comparing it with the rest of the list and assuming the last value as biggest and comparing it with the rest of the list. Running cost analysis

Research paper thumbnail of Affective mapping of EEG during executive function tasks

2012 15th International Conference on Computer and Information Technology (ICCIT), 2012

ABSTRACT Executive function is a set of mental processes commonly linked with the activation of t... more ABSTRACT Executive function is a set of mental processes commonly linked with the activation of the brain&#39;s prefrontal cortex. While many studies have focused on EF in adulthood, the development of EF in children is yet to be understood. This paper proposes a new approach for understanding children&#39;s reactions during EF tasks by mapping their EEG signals onto the 2D valence-arousal affective space model. Brain signals of ten pre-school children aged between 4-6 years (male: 5; female: 5) were collected while they play the standardized version of the Dimensional Change Card Sort. Behavioral results in terms of percentage of correct responses and response time did not vary significantly across gender. Emotion mapping using the valence-arousal model showed that boys tend to be consistent in their emotion during pre-switch and post-switch tasks. The emotion of girls, however, tends to shift towards neutral state during the post-switch test regardless of their initial emotions in the pre-switch phase.

Research paper thumbnail of Low Cost Softswitch Using SIP Protocol

2009 First International Conference on Advances in Future Internet, 2009

ABSTRACT Softswitch is a solution to many modern day Internet telephone networks and switching fo... more ABSTRACT Softswitch is a solution to many modern day Internet telephone networks and switching for routing problems. Softswitch can handle many types of calls, such as PC-to-PC, PC-to-phone, SMS, MMS and many others. Besides, it can deploy different types of applications and services for each call connection. The types of calls supported depend on the design and scope of the softswitch framework. In this paper, a low cost softswitch solution is proposed and developed based on the Session Initiation Protocol (SIP). PC-to-PC calls are examined and text to speech conversion is employed to test the softswitch.

Research paper thumbnail of Some anisotropic viscoelastic Green functions

Contemporary Mathematics, 2011

In this paper, we compute the closed form expressions of elastodynamic Green functions for three ... more In this paper, we compute the closed form expressions of elastodynamic Green functions for three different viscoelastic media with simple type of anisotropy. We follow Burridge et al. [Proc. Royal Soc. of London. 440(1910] to express unknown Green function in terms of three scalar functions φi, by using the spectral decomposition of the Christoffel tensor associated with the medium. The problem of computing Green function is, thus reduced to the resolution of three scalar wave equations satisfied by φi, and subsequent equations with φi as source terms. To describe viscosity effects, we choose an empirical power law model which becomes well known Voigt model for quadratic frequency losses.

Research paper thumbnail of Optical character recognition system for Urdu

2010 International Conference on Information and Emerging Technologies, 2010

... [4] Khalid Saeed, “New Approaches for Cursive Languages Recognition: Machine and Hand [5] Fai... more ... [4] Khalid Saeed, “New Approaches for Cursive Languages Recognition: Machine and Hand [5] Faisal Shafait, Adnan-ul-Hasan, Daniel Keysers, and Thomas M. Breuel, “Layout Analysis of Urdu Document Images,” [Multitopic Conference, 2006. INMIC '06. ...

Research paper thumbnail of Future value with type-1 fuzzy interest rate

Research paper thumbnail of Speaker Verification System Based on the Cerebellum Architecture

SSRN Electronic Journal, 2000

The Cerebellar Model Articulation Controller (CMAC) and fuzzy systems have been active areas of r... more The Cerebellar Model Articulation Controller (CMAC) and fuzzy systems have been active areas of research since its initial introduction. Fuzzy CMAC is basically a CMAC that is coupled with a fuzzy system. This paper presents the incorporation of fuzzy systems into CMAC with Approximate Analogical Reasoning Scheme (AARS) as its inference rules and Discrete Incremental Clustering (DIC) as its technique to classify the input space, which is used for the speaker verification system. Features extracted from a known speaker using either Mel Frequency Cepstrum Coefficients (MFCC) or Delta Mel Frequency Cepstrum Coefficients (DMFCC) methods are used as the inputs for the system. The variables used for the performance analysis are False Acceptance Rate (FAR), False Rejection Rate (FRR), and Equal Error Rate (EER), training and testing time.

Research paper thumbnail of Speech emotion recognition using auditory cortex

2007 IEEE Congress on Evolutionary Computation, 2007

Research paper thumbnail of Early Identification of Dyslexic Preschoolers Based on Neurophysiological Signals

2013 International Conference on Advanced Computer Science Applications and Technologies, 2013

ABSTRACT Dyslexia is a learning difficulty and in most cases cannot be identified until a child i... more ABSTRACT Dyslexia is a learning difficulty and in most cases cannot be identified until a child is already in the third grade or later. At this time a dyslexic child have only an one-in-seven chance of ever catching up with his or her peers in reading, writing, speaking or listening. Early identification can pave the way for early intervention and the dyslexic child can be helped at an early stage. Furthermore, the results yielded are the best when the intervention in the form of providing specialized instructions or carried out through some other way yields best results when done at preschoolers. Thus the importance of early identification. The following study is devoted to the EEG based identification of dyslexia for preschool going children. In this analysis feature extraction are carried out using KDE and MLP is used for classification of the features extracted. The results show promising classification accuracy.

Research paper thumbnail of Difficulties in Treatment and Management of Epilepsy and Challenges in New Drug Development

Pharmaceuticals, 2010

... Phenytoin was synthesized in 1908, and was recognized as a first non sedating antiepileptic d... more ... Phenytoin was synthesized in 1908, and was recognized as a first non sedating antiepileptic drug after the pioneering studies of Merritt and Putnam using an electroshock-induced seizure model in cats [74-76]. Since then electroshock-induced seizure model has been used ...

Research paper thumbnail of Speaker authentication system using soft computing approaches

Neurocomputing, 2005

Speaker authentication has been developed rapidly in the last few decades. This research work att... more Speaker authentication has been developed rapidly in the last few decades. This research work attempts to extract the hidden features of human voice that is able to simulate human auditory system characteristics in speaker authentication. The hidden features are then presented as inputs to a Multi-Layer Perceptron Neural Network and Generic Self-organizing Fuzzy Neural Network to verify the speakers with high accuracy. Based on the experimental results, the two networks are able to verify speakers using two method in extracting hidden features from the recorded voice sources. r

Research paper thumbnail of Preparation and Evaluation of Solid Dispersions of Ibuprofen Using Glucosamine HCl as a Carrier

British Journal of Pharmaceutical Research, 2013

The objective of the present investigation was to develop matrix solid dispersion (SD) of aceclof... more The objective of the present investigation was to develop matrix solid dispersion (SD) of aceclofenac sodium with modified gum karaya (MGK) in the drug carrier ratio of 1:1, 1:2, 1:4, 1:8 and 1: 10 (SD 1 to SD 10 ) and to study its functionality as a matrix forming agent for oral controlled release formulations. MGK was characterized and compared with GK through swelling index, water retention capacity and ATRFTIR. MGK showed comparable swelling index and water retention capacity to GK. The prepared solid dispersions were characterized for their ATRFTIR, drug content, and in vitro release studies followed by various release kinetics and mechanism of release. The drug release profile showed concentration dependent release retardant potential of natural polymer from 99.91 to 72.29 % (SD 1 to SD 10 ). Kinetic profile showed good linearity with zero order i.e. exhibiting concentration independent release of drug and Hixson Crowell cube root law (r 2 = 0.848 to 0.925) demonstrating that the drug release from the SD was erosion based. Korsmeyer pepas model provide n values of 0.566 to 0.788 suggestive of release mechanism was non-Fickian or anomalous release (0.45 < n < 0.89), which point towards drug release follows both diffusion and erosion mechanism. The drug content was found to be between 99.39 % and 100.83% representative of drug uniformity in various formulation batches.

Research paper thumbnail of 2D affective space model (ASM) for detecting autistic children

2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 2011

Abstract There are many research works have been done on autism cases using brain imaging techniq... more Abstract There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in ...

Research paper thumbnail of MFCC for robust emotion detection using EEG

2009 IEEE 9th Malaysia International Conference on Communications (MICC), 2009

This paper proposes an emotion recognition system based on the Mel Frequency Cepstral coefficient... more This paper proposes an emotion recognition system based on the Mel Frequency Cepstral coefficient (MFCC) of the bio-signals. Using gathered data under psychological emotion stimulation experiments, 4 types of emotions, happy, fear, sad and calm are classified. MLP is used as the classifiers. Experimental results show potential of using this technique to verify emotion based on the EEG signals of accuracy up to 90% can be achieved. This shows the potential of using the MFCC-MLP approach to detect basic emotions using EEG signals from the brain scalp.

Research paper thumbnail of Time reversal in attenuating acoustic media

Contemporary Mathematics, 2011

In this paper we consider the problem of reconstructing sources in attenuating acoustic media usi... more In this paper we consider the problem of reconstructing sources in attenuating acoustic media using a time-reversal technique. We first justify the use of the adjoint of the attenuated wave operator instead of the ideal one for modifying the time-reversal process as a first order correction of the attenuation effect. Then we present a modified approach for higher order corrections. We use a thermo-viscous law model for the attenuation losses.

Research paper thumbnail of Post accident analysis of driver affection

2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 2011

In this research paper, we proposed to understand and analyzed the driver behavior through affect... more In this research paper, we proposed to understand and analyzed the driver behavior through affective space model which allows the emotion to be represented in valance(V) and arousal(A). Through this analysis, we can determine correlation between driver behavior and basics emotion which will gain such agreement by psychologists in this area. Besides, through the VA, it will let us to

Research paper thumbnail of A new friends sort algorithm

2009 2nd IEEE International Conference on Computer Science and Information Technology, 2009

Sorting algorithms and the sorting itself is an important concept in computational field. In this... more Sorting algorithms and the sorting itself is an important concept in computational field. In this research study, we are proposing a unique sorting algorithm, based on assuming the first value as smallest and comparing it with the rest of the list and assuming the last value as biggest and comparing it with the rest of the list. Running cost analysis

Research paper thumbnail of Affective mapping of EEG during executive function tasks

2012 15th International Conference on Computer and Information Technology (ICCIT), 2012

ABSTRACT Executive function is a set of mental processes commonly linked with the activation of t... more ABSTRACT Executive function is a set of mental processes commonly linked with the activation of the brain&#39;s prefrontal cortex. While many studies have focused on EF in adulthood, the development of EF in children is yet to be understood. This paper proposes a new approach for understanding children&#39;s reactions during EF tasks by mapping their EEG signals onto the 2D valence-arousal affective space model. Brain signals of ten pre-school children aged between 4-6 years (male: 5; female: 5) were collected while they play the standardized version of the Dimensional Change Card Sort. Behavioral results in terms of percentage of correct responses and response time did not vary significantly across gender. Emotion mapping using the valence-arousal model showed that boys tend to be consistent in their emotion during pre-switch and post-switch tasks. The emotion of girls, however, tends to shift towards neutral state during the post-switch test regardless of their initial emotions in the pre-switch phase.

Research paper thumbnail of Low Cost Softswitch Using SIP Protocol

2009 First International Conference on Advances in Future Internet, 2009

ABSTRACT Softswitch is a solution to many modern day Internet telephone networks and switching fo... more ABSTRACT Softswitch is a solution to many modern day Internet telephone networks and switching for routing problems. Softswitch can handle many types of calls, such as PC-to-PC, PC-to-phone, SMS, MMS and many others. Besides, it can deploy different types of applications and services for each call connection. The types of calls supported depend on the design and scope of the softswitch framework. In this paper, a low cost softswitch solution is proposed and developed based on the Session Initiation Protocol (SIP). PC-to-PC calls are examined and text to speech conversion is employed to test the softswitch.

Research paper thumbnail of Some anisotropic viscoelastic Green functions

Contemporary Mathematics, 2011

In this paper, we compute the closed form expressions of elastodynamic Green functions for three ... more In this paper, we compute the closed form expressions of elastodynamic Green functions for three different viscoelastic media with simple type of anisotropy. We follow Burridge et al. [Proc. Royal Soc. of London. 440(1910] to express unknown Green function in terms of three scalar functions φi, by using the spectral decomposition of the Christoffel tensor associated with the medium. The problem of computing Green function is, thus reduced to the resolution of three scalar wave equations satisfied by φi, and subsequent equations with φi as source terms. To describe viscosity effects, we choose an empirical power law model which becomes well known Voigt model for quadratic frequency losses.

Research paper thumbnail of Optical character recognition system for Urdu

2010 International Conference on Information and Emerging Technologies, 2010

... [4] Khalid Saeed, “New Approaches for Cursive Languages Recognition: Machine and Hand [5] Fai... more ... [4] Khalid Saeed, “New Approaches for Cursive Languages Recognition: Machine and Hand [5] Faisal Shafait, Adnan-ul-Hasan, Daniel Keysers, and Thomas M. Breuel, “Layout Analysis of Urdu Document Images,” [Multitopic Conference, 2006. INMIC '06. ...

Research paper thumbnail of Future value with type-1 fuzzy interest rate

Research paper thumbnail of Speaker Verification System Based on the Cerebellum Architecture

SSRN Electronic Journal, 2000

The Cerebellar Model Articulation Controller (CMAC) and fuzzy systems have been active areas of r... more The Cerebellar Model Articulation Controller (CMAC) and fuzzy systems have been active areas of research since its initial introduction. Fuzzy CMAC is basically a CMAC that is coupled with a fuzzy system. This paper presents the incorporation of fuzzy systems into CMAC with Approximate Analogical Reasoning Scheme (AARS) as its inference rules and Discrete Incremental Clustering (DIC) as its technique to classify the input space, which is used for the speaker verification system. Features extracted from a known speaker using either Mel Frequency Cepstrum Coefficients (MFCC) or Delta Mel Frequency Cepstrum Coefficients (DMFCC) methods are used as the inputs for the system. The variables used for the performance analysis are False Acceptance Rate (FAR), False Rejection Rate (FRR), and Equal Error Rate (EER), training and testing time.

Research paper thumbnail of Speech emotion recognition using auditory cortex

2007 IEEE Congress on Evolutionary Computation, 2007

Research paper thumbnail of Early Identification of Dyslexic Preschoolers Based on Neurophysiological Signals

2013 International Conference on Advanced Computer Science Applications and Technologies, 2013

ABSTRACT Dyslexia is a learning difficulty and in most cases cannot be identified until a child i... more ABSTRACT Dyslexia is a learning difficulty and in most cases cannot be identified until a child is already in the third grade or later. At this time a dyslexic child have only an one-in-seven chance of ever catching up with his or her peers in reading, writing, speaking or listening. Early identification can pave the way for early intervention and the dyslexic child can be helped at an early stage. Furthermore, the results yielded are the best when the intervention in the form of providing specialized instructions or carried out through some other way yields best results when done at preschoolers. Thus the importance of early identification. The following study is devoted to the EEG based identification of dyslexia for preschool going children. In this analysis feature extraction are carried out using KDE and MLP is used for classification of the features extracted. The results show promising classification accuracy.

Research paper thumbnail of Difficulties in Treatment and Management of Epilepsy and Challenges in New Drug Development

Pharmaceuticals, 2010

... Phenytoin was synthesized in 1908, and was recognized as a first non sedating antiepileptic d... more ... Phenytoin was synthesized in 1908, and was recognized as a first non sedating antiepileptic drug after the pioneering studies of Merritt and Putnam using an electroshock-induced seizure model in cats [74-76]. Since then electroshock-induced seizure model has been used ...

Research paper thumbnail of Speaker authentication system using soft computing approaches

Neurocomputing, 2005

Speaker authentication has been developed rapidly in the last few decades. This research work att... more Speaker authentication has been developed rapidly in the last few decades. This research work attempts to extract the hidden features of human voice that is able to simulate human auditory system characteristics in speaker authentication. The hidden features are then presented as inputs to a Multi-Layer Perceptron Neural Network and Generic Self-organizing Fuzzy Neural Network to verify the speakers with high accuracy. Based on the experimental results, the two networks are able to verify speakers using two method in extracting hidden features from the recorded voice sources. r