Now showing items 87-106 of 114

    • Recognition of motor imagery of hand movements for a BMI using PCA features 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abd Hamid, Adom; Ramachandran, Nagarajan (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 ...
    • Robot chair control using an asynchronous brain machine 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Sazali, Yaacob, Prof. Dr.; Abd Hamid, Adom, Assoc. Prof. Dr.; Nagarajan, Ramachandran (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      Robot chair control using an asynchronous brain machine interface (ABMI) based on motor imagery requires sufficient subject training. This paper proposes a generalized a brain machine interface design to investigate the ...
    • Segmentation and location computation of bin objects 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Ars International, 2007)
      In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the ...
    • Short Term Load Forecasting using Functional Link Network 

      Muthukumaran, Sithambaram; Thyagarajah, K.; Paulraj, Murugesa Pandiyan, Prof. Madya Dr. (EuroJournals Publishing, 2011-04)
      Short Term Load Forecasting (STLF) is an important tool for successful planning and operation of power generating stations. This paper proposes neural network algorithm for STLF using Functional Link Neural Network (FLN) ...
    • A simple sign language recognition system using affine moment blur invariant features 

      Rajkumar, Palaniappan; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shuhanaz, Zanar Azalan (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Sign language recognition is one of the most promising sub-fields in gesture recognition research. Effective sign language recognition would grant the deaf and hard-of-hearing expanded tools for communicating with both ...
    • Single trial motor imagery classification for a four state brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device ...
    • Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model 

      Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Nataraj, Sathees Kumar (IEEE Conference Publications, 2012-10)
      Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ...
    • A speech recognition system for Malaysian English pronunciation using Neural Network 

      Paulraj, M.P.; Sazali, Yaacob; Ahamad Nazri; Sathees Kumar (Universiti Malaysia Perlis, 2009-10-11)
      The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. In this paper, an automatic vowel classification system based on linear predictive ...
    • Statistical formant descriptors with linear predictive coefficients for accent classification 

      Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Nor Fadzilah, Mokhtar (Institute of Electrical and Electronics Engineers (IEEE), 2013-06)
      Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech ...
    • Statistical time energy based damage detection in steel plates using artificial neural networks 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Mohd Shukri, Abdul Majid; Sazali, Yaacob, Prof. Dr.; Mohd Hafiz, Fazalul Rahiman; Krishnan, R. P. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a ...
    • Steel plate damage diagnosis using probabilistic neural network 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Krishnan, Pranesh (IEEE Conference Publications, 2013-01)
      This paper discusses the application of frame energy based DFT spectral band features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel plates in a free-free condition. ...
    • Stereo Sensors-based Object Segmentation and Location for a Bin Picking Adept SCARA Robot 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Universiti Malaysia Perlis, 2007)
      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 ...
    • Stereo vision system for a bin picking adept robot 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Universiti Malaya, 2007)
      In bin picking applications, robots are required to pick up an object from a pile of stacked or scattered objects placed in a bin. To perform such tasks, identification of the objects to be picked using a vision system is ...
    • Structural steel plate damage detection using DFT spectral energy and artificial neural network 

      Paulraj, Murugesa Pandiyan, Prof. Madya Dr.; Mohd Shukri, Abdul Majid; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Krishnan, Pranesh R. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      In this paper, simple methods for crack identification in steel plates and their classification based on the frame based frequency domain features is presented. Based upon the boundary conditions and experimental modal ...
    • Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks 

      Paulraj, Murugesa Pandiyan, Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid; Mohd Nor Fakhzan, Mohd Kazim; Pranesh, Krishnan (Malaysian Technical Universities Network (MTUN), 2012-11-20)
      This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply ...
    • Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks 

      Pandiyan, Paulraj Murugesa , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Mohd Nor Fakhzan, Mohd Kazim; Krishnan, Pranesh (Elsevier Ltd., 2013)
      This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply ...
    • Supervised neural network classifier for voice pathology 

      Murugesa Pandiyan, Paulraj, Prof. Madya Dr,; Sazali, Yaacob, Prof. Dr.; Sivanandam, S. N.; Hariharan, Muthusamy (Kongu Engineering College, 2008-01-03)
      The classification of normal and pathological voices using noninvasive acoustical analysis features helps speech specialist to perform accurate diagnoses of vocal and voice disease. Acoustic analysis is a non-invasive ...
    • Synchronous brain machine interface design using focused time delay networks 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Ramachandran, Nagarajan, Prof. Dr. (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Focused time delay neural network based design for a four-state Brain Machine Interface (BMI) to drive a wheelchair is analyzed. Motor imagery signals recorded noninvasively using two bipolar electrodes are used in the ...
    • Time-domain features and probabilistic neural network for the detection of vocal fold pathology 

      Hariharan, Muthusamy; Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr. (Universiti Malaya, 2010)
      Due to the nature of job, unhealthy social habits and voice abuse, people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ...
    • The use of openCV in Traffic Surveillance System (TSS) 

      Zainab Nazar, Khalil Wafi; R. Badlishah, Ahmad, Dr.; Paulraj, Murugrsa Pandiyan, Prof. Madya Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Due to the increase of traffic accidents over the last few years; the development of surveillance systems has increasing attention. The use of the video cameras is one solution to solve the traffic problems, Smart cameras ...