Browsing Paulraj Murugesa Pandiyan, Assoc. Prof. Dr. by Title
Now showing items 60-79 of 113
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Intelligent Sensor for Reversing Vehicles
(Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)The Intelligent Sensor for Reversing Vehicles comprises of a stereo camera (placed on the rear bumper of the car), a processing unit, a display unit and speaker (placed near the dashboard of the car). The cameras are ... -
An Intelligent System for Engine Fault Detection
(Malaysian Invention & Design Society (MINDS), 2007-05-18)Condition monitoring and machinery fault diagnosis are central to the implementation of efficient maintenance management strategies. In real time vehicle servicing environment engine fault diagnosis is being done manually ... -
Intelligent vehicle fault diagnosis system using Neural Networks
(Universiti Teknologi MaraFaculty of Electrical Engineering, 2007-03-09)Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ... -
Loudspeaker fault detection using artificial neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)Traditionally, loudspeaker's quality control has been done manually and inspection of loudspeaker faults is time consuming and causes error in the quality evaluation. In order to reduce the time consumption and errors in ... -
Malaysian English accents identification using LPC and formant analysis
(IEEE Conference Publications, 2011-11)In Malaysia, most people speak several varieties of English known as Malaysian English (MalE) and there is no uniform version because of the existence of multi-ethnic population. It is a common scenario that Malaysians ... -
Malaysian vowel recognition based on spectral envelope using bandwidth approach
(Institute of Electrical and Electronics Engineering (IEEE), 2009-05-25)Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction ... -
Measuring the speech intelligibility of the sound reinforced classroom
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Classroom speech intelligibility has become one of the main concerns in schools and other learning institutions development nowadays. This is because the qualities of student’s perceptions towards teacher are essentials ... -
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 ...