Browsing Paulraj Murugesa Pandiyan, Assoc. Prof. Dr. by Title

Now showing items 76-95 of 114

    • Nano-satellite Attitude Control System 

      Muhyi, Yaakop; Sazali, Yaacob, Prof. Dr.; Abdul Rahman, Mohd Saad; Zaridah, Mat Zain; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Muthusamy, Hariharan; Ramachandran, Nagarajan, Prof. Dr.; Soh, Warren Kay; Ahmad Sabirin, Arshad (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 

      Murugesa Pandian, Paulraj, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Sivanandam, S. N.; Muthusamy, Hariharan, Dr. (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 

      Paulraj, M. P.; Ahmad Nazri; Sivanandam, S.N.; Thagirarani, M. (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 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (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 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Nagaran, R.; Sazali, Yaacob (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 

      Mohd Ridhwan Tamjis; M. Naufal Mansor; Paulraj, Murugesa Pandiyan, Assoc. Prof.; A. Nazri Abdullah; Raymond B. W. Heng; Sazali Yaacob, Prof. Dr. (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 

      Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shuhanaz, Zanar Azalan; Palaniappan, Rajkumar (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 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Mohd Shuhanaz, Zanar Azalan; Palaniappan, Rajkumar (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 

      Yusnita, M. A.; Murugesa Pandiyan, Paulraj, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar; Saidatul Ardeenaawatie, Awang; Ahmad Nazri, Abdullah (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 

      Ramachandran, Nagarajan; Paulraj, Murugesapandian; Sazali, Yaacob; Zuriadah, Mat Zain; Hoh, W. S. K.; Ahmad Sabirin, Arshad (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 

      Paulraj, M.P.; Sazali, Yaacob; Ahmad Nazri; M., Thagirarani (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 

      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 ...