Browsing Paulraj Murugesa Pandiyan, Assoc. Prof. Dr. by Title
Now showing items 67-86 of 113
-
Motorbike engine faults diagnosing system using entropy and functional link neural network in wavelet domain
(Universiti Malaysia Perlis, 2009-10-11)The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ... -
Motorbike engine faults diagnosing system using neural network
(IEEE Conference Publications, 2008-12)Monitoring systems for motorbike industry requires high and efficient degree of performance. In recent years, automatic identification and diagnosis of motorbike engine faults has become a very complex and critical task. ... -
Moving vehicle detection using time domain statistical features
(Trans Tech Publications, 2014)The Hearing Impaired People (HIP) cannot distinguish the sound from a moving vehicle approaching from their behind. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter ... -
Moving vehicle identification using artificial neural network
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Hearing impaired people cannot distinguish the sound from a moving vehicle approaching from their behind. They often face a risky situation while they are in outdoors. In this paper, a simple algorithm is proposed to ... -
Moving vehicle noise classification using backpropagation algorithm
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)The hearing impaired is afraid of walking along a street and living a life alone. Since it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in ... -
Moving vehicle recognition and classification based on time domain approach
(Malaysian Technical Universities Network (MTUN), 2012-11-20)Differentially Hearing Ability Enabled (DHAE) community cannot discriminate the sound information from a moving vehicle approaching from their behind. This research work is mainly focused on recognition of different vehicles ... -
Moving vehicle recognition and classification based on time domain approach
(Elsevier Ltd, 2013)Differentially Hearing Ability Enabled (DHAE) community cannot discriminate the sound information from a moving vehicle approaching from their behind. This research work is mainly focused on recognition of different vehicles ... -
Multi-classifier system for moving vehicles classification based on spectral bands energy
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Profoundly hearing impaired community cannot moderate wisely an acoustic noise emanated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from behind. ... -
Nano-satellite Attitude Control System
(Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2009-12)A satellite maneuvers through orbit with the use of an attitude control system (ACS) to stay on course and always pointing towards earth reference. This maximizes the solar cell-sun and camera-earth coverage, a process ... -
Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
(Universiti Teknologi MARA (UiTM)Faculti of Electrical Engineering, 2008-03-07)Impairment of vocal function can have a major impact on the quality of life, severely limiting communication at work and affecting all social aspect of daily life. In the recent years, voice disease are increasing dramatically ... -
Neural network models for speech inteligibility assessment in university classroom
(Kongu Engineering College, 2008-01-03)Adequate speech intelligibility should be the primary goal in acoustical design of classrooms. Typical design parameters are reverberation time and background noise level. However for predicting the Speech Transmission ... -
Neuro-Fuzzy based motor imagery classification for a four class brain machine interface
(Universiti Malaysia Perlis, 2009-10-11)Brain Machine Interface (BMI) provides a digital link between the brain and a device such as a computer, robot or wheelchair. This paper presents a BMI design using Neuro-Fuzzy classifiers for controlling a wheelchair using ... -
Object localization using stereo sensors for adept SCARA robot
(Institute of Electrical and Electronics Engineers (IEEE), 2006)In this paper we present a stereo vision system for segmentation of partially occluded objects and computation of object grasping point in bin picking environments. The stereo vision system was interfaced with an Adept ... -
Performance comparison of the artificial neural network and the k-nearest nieghbor classifiers in classroom speech intelligibility prediction application
(Science Academy, 2011-03)Classroom speech intelligibility has become one of the major concerns in education nowadays. In any classrooms and educational facilities, an optimal speech intelligibility level is required to ensure that the listeners ... -
A phoneme based sign language recognition system using interleaving feature and neural network
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed in hearing impaired communities, which can include ... -
A phoneme based sign language recognition system using skin color segmentation
(Institute of Electrical and Elctronics Engineering (IEEE), 2010-05-21)A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed for deaf communities, which can include interpreters, ... -
Phoneme-based or isolated-word modeling speech recognition system? An overview
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)In this paper speech theories and some methodological concerns about feature extraction and classification techniques widely used in speech recognition system are surveyed and discussed. The shortage of isolated word speech ... -
PID and adaptive predictive fuzzy logic controller for a micro-satellite
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)In this paper a simple Adaptive Predictive Fuzzy Logic Controller is developed for the attitude control of a micro-satellite; its performance is compared with a PID controller. PID controller is the most widely used among ... -
Prediction of psychoacoustic parameters using radial basic functions neural network
(Karpagam College of Engineering, 2008-02-01)The ability of human listeners to estimate psychoacoustic parameters from the speakers speech levels at different listener's positions in a classroom is an interesting and not yet thoroughly examined phenomenon. The goal ... -
Recognition of motor imagery of hand movements for a BMI using PCA features
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)Motor imagery is the mental simulation of a motor act that includes preparation for movement and mental operations of motor representations implicitly or explicitly. The ability of an individual to control his EEG through ...