Paulraj Murugesa Pandiyan, Assoc. Prof. Dr.: Recent submissions

Now showing items 101-113 of 113

    • Developing stereo vision system for object recognition and positioning of AMAD-R mobile robot 

      Mohd Saifizi, Saidon; Hazry, Desa; Paulraj, Murugesa; Mohd Sofian, M. Rosbi (Universiti Malaysia Perlis, 2009-10-11)
      Machine vision can be described as a useful robotic sensor since it mimics the human sense of vision and allows for non-contact measurement of the environment. The infinite number of possible poses relative to the viewer ...

    • Determination of stress index: approach and challenges 

      Syahrull Hi-Fi Syam, Ahmad Jamil; Sazali, Yaacob; Paulraj, M.P; Ku Halim, Ku Ariffin (Universiti Malaysia Perlis, 2009-10-11)
      This paper discusses the preliminary study of stress detection towards determination of stress index through qualitative and quantitative evaluation of physical and psychological during stress. Awareness of stress effect ...

    • 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 ...

    • 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 ...

    • Vowel classification based on frequency response of vocal tract 

      Paulraj, M.P.; Sazali, Yaacob; Shahrul Azmi, M. Y. (Institute of Electrical and Electronics Engineering (IEEE), 2008-05)
      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 modified feature ...

    • Vowel recognition based on frequency ranges determined by bandwidth approach 

      Paulraj, M. P.; Sazali, Yaacob; Mohd Yusof, S. A. (Institute of Eelectrical and Electronics Engineering (IEEE), 2009-07)
      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 ...

    • 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 ...

    • 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 ...

    • Fuzzy based classification of EEG mental tasks for a brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (Institute of Electrical and Electronics Engineers (IEEE), 2007-11-28)
      Patients with neurodegenerative diseases loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is using a brain machine ...

    • EEG classification using radial basis PSO neural network for brain machine interfaces 

      Paulraj, Murugesapandian; Hema, Chengalvarayan Radhakrishnamurthy; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (Institute of Electrical and Electronics Engineering (IEEE), 2007-12)
      Brain Machine Interfaces use the cognitive abilities of patients with neuromuscular disorders to restore communication and motor functions. At present, only EEG and related methods, which have relatively short time constants, ...

    • 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 ...

    • Analysis of classroom speech intelligibility using fuzzy linear regression model 

      Paulraj, M.P., Dr.; Sazali, Yaacob, Prof. Dr.; Ahmad Nazri, Dr.; Thagirarani, M . (Universiti Malaysia Perlis, 2006)
      Speech is defined as a process of producing sounds confirming to an accepted code by the human vocal apparatus. These sounds are perceived by the ear-brain system with the primary purpose of conveying thoughts. The ...

    • Intelligent vehicle fault diagnosis system using Neural Networks 

      Paulraj, Murugesapandian; Sazali, Yaacob; Nor Shaifudin, Abd Hamid; Hema, Chengalvarayan Radhakrishnamurthy (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 ...