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

Now showing items 96-114 of 114

    • 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 ...

    • Vehicle interior sound quality evaluation using energy based features 

      Allan, Melvin Andrew; Paulraj, Murugesa Pandian, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      The comfort in the car interior is already become a need for the passengers and the buyers. Due to high competition in car industries, all the car manufacturers are concentrating in improving the interior noise comfort of ...

    • Vehicle noise comfort level indication: A psychoacoustic approach 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Andrew, Allan Melvin (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      Nowadays, the studies and researches related to the improvement of the passenger comfort in the car are carried out vigorously. The comfort in the car interior is already become a need for the passengers and the buyers. ...

    • Voiceless Voice : An Intelligent Communication System for Physically Retarded Communities 

      Paulraj, M. P., Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Sathees, Kumar; Nataraj; Divakar, Purushothaman; Erdy Sulino, Muslim Tan (Universiti Malaysia Perlis, 2010-01-07)
      The Intelligent Voiceless communication is a device which can help the physically retarded peoples to communicate with the outside world by using their brain signals. Our product makes use of the active brain functions of ...

    • Voiceless Voice : An Itelligent Communication System For Physically Retarded Communities 

      Paulraj, M. P., Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Hema, C. R.; Natraj, Sathees Kumar; Purushothaman, Divakar; Erdy Sulino, Mohd Muslim Tan (Malaysia Association of Research Scientists (MARS), 2010-02-04)
      The system can be easily custom designed for a physically impaired person. The system can be installed on any commercial powered computer or a laptop. Our product is cost effective compared to the cost of hiring care givers ...

    • 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 ...

    • Wireless cameras network for Intelligent Traffic Surveillance system 

      Zainab Nazar, Khalil Wafi; R. Badlishah, Ahmad; Paulraj, M.P. (Universiti Malaysia Perlis, 2009-10-11)
      Wireless Networks (WNs) have attracted wide interests in both academic and industrial communities due to their diversity of applications. In this paper a Wireless Camera Network (WCN) which utilizes advanced embedded ...

    • Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite 

      Nagarajan, Ragunathan; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Sazali, Yaacob, Prof. Dr.; Zuraidah, Mohd Zain, Prof. Dr.; Hoh, W. S. K.; Arshad, A. S. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      Attitude control system is designed to change the attitude of a satellite, able to meet pointing requirement, eliminating external disturbances, a low-cost controller as well as a high reliability control system which can ...