Now showing items 182-201 of 251

    • Pathological infant cry analysis using wavelet packet transform and probabilistic neural network 

      Muthusamy, Hariharan; Sazali, Yaacob, Prof. Dr.; Saidatul Ardeenaawatie, Awang (Elsevier Ltd., 2011-11)
      A new approach has been presented based on the wavelet packet transform and probabilistic neural network (PNN) for the analysis of infant cry signals. Feature extraction and development of classification algorithms play ...
    • Patient monitoring in ICU under unstructured lighting condition 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran, Prof. Dr.; Hariharan, Muthusamy, Dr. (IEEE Conference Publications, 2010-10)
      In this paper, fuzzy classifier is explained and reviewed for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes and mouth movements. The ...
    • Patients tremble analysis under different camera placement in critical care 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; R. Nagarajan, Prof. Dr.; Muthusamy, Hariharan, Dr. (Science Academy, 2011-03)
      This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). In this research we have considered the facial changes most widely represented by eyes and mouth ...
    • Performance comparison of daubechies wavelet family in Infant cry classification 

      Saraswathy, J; Hariharan, Muthusamy; Vijean, Vikneswaran; Sazali, Yaacob, Prof. Dr.; Wan Khairunizam, Wan Ahmad, Dr. (IEEE Conference Publications, 2012)
      Infant cry is a non-stationary, loud, high-pitched signal made by infants in response to certain situations. This acoustic signal can be used to identify physical or psychology status of infant. The aim of this work is to ...
    • Performance comparison of the artificial neural network and the k-nearest neighbor classifiers in classroom speech intelligibility prediction application 

      M. Ridhwan, Tamjis; M. Naufal, Mansor; Pandiyan, Paulraj Murugesa, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Ahmad Nazri, Abdullah, Prof. Madya Dr.; Boon, Raymond Whee Heng, 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 ...
    • 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 ...
    • Performance comparisons of new excitation coil design aspects in Magnetic Induction Tomography (MIT) applications 

      Zulkarnay, Zakaria; Muhamad Hafiz, Hussin; Ruzairi, Abdul Rahim; Nur Farahiyah, Mohammad; Azian Azamimi, Abdullah; Sazali, Yaacob, Prof. Dr.; Syed Mustafa Kamal, Syed Aman (Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)
      Magnetic Induction Tomography (MIT) is a contactless method interested in conductivity properties of the object. In MIT system, excitation coil plays an important role since it generate primary field which then will propagate ...
    • Personalized face emotion classification using optimized data of three features 

      Muthukaruppan, Karthigayan; Ramachandran, Nagarajan; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob (Institute of Electrical and Electronics Engineering (IEEE), 2007)
      In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. ...
    • Personalized human emotion classification using genetic algorithm 

      Mohd Rizon; Hazry, Desa; Karthigayan, M.; Nagarajan, Ramachandran; Alajlan, N.; Sazali, Yaacob, Prof. Dr.; Nor Azmi, Johari; Ina Suryani, Ab Rahim (Institute of Electrical and Elctronics Engineering (IEEE), 2009-07-05)
      In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. ...
    • 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 ...
    • A physiological signal based approach on stress assessment through emotion, physical, and cognitive stimuli: A theoretical frame work 

      Murugappan, M., Dr.; Karthikeyan, P.; Bong, Siao Zheng; Ku Nor Syamimi, Ku Ismail; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Stress is one of an unsteady state of human like uncontrolled machineries in industries. In order analysis effects of human stress, several studies have reported to identify the physiological and psychological variation ...
    • 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 classroom speech clarity using backpropagation neural network 

      Paularaj, M. P.; Sazali, Yaacob; Ahmad Nazri; Thagirarani, M (Universiti Kebangsaan Malaysia, 2007-11-27)
      A classroom's acoustic design should be constructed so that the highest possible degree of speech intelligibility is achieved for teachers and students. In achieving the highest possible speech intelligibility, the acoustical ...
    • 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 ...
    • Prediction of Reverberation time in university classrooms using Neural Network 

      Paularaj, M. P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Hariharan, M.; Wan Mohd Ridzuan, Wan Ab Majid (Universiti Kebangsaan Malaysia, 2007)
      Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...
    • Preemies birth monitoring using color detection method 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Syahryull Hi-Fi Syam, Ahmad Jamil; Mohd Lutfi, Mohd Khidir; Muhammad Nazri, Rejab; Ku Mohd Yusri, Ku Ibrahim; Addzrull Hi-Fi Syam, Ahmad Jamil; Ahmad Kadri, Junoh (Elsevier B.V., 2012-03-10)
      Administration of vaccines and nutritional supplements to baby or infant is mainly depends on their chronological age and weight. For examples, iron supplements and hepatitis B vaccine should be initiated when the baby is ...
    • A preliminary study of inhaled pharmaceutical aerosol flow characteristics in metered dose inhaler spacer 

      Ahmad Faizal, Salleh; Muhammad Izham, Ismail; Md Tasyrif, Abdul Rahman; Sazali, Yaacob, Prof. Dr.; Khaled, Helmy, Dr. (Springerlink, 2008-06-25)
      Metered Dose Inhalers (MDI) is used to prevent and relieve the symptoms and progression of certain diseases (asthma, chronic obstructive pulmonary disease, cystic fibrosis and bronchiectosis) by delivering the inhaled ...
    • A preliminary study of noise effect on pulse rate, blood pressure and EEG signal 

      Saidatul Ardeenaawatie, Awang; Nur Farahiyah, Mohammad; M.R., Tamjis; Sazali, Yaacob (Universiti Malaysia Perlis, 2009-10-11)
      This paper presents the effect of noise to pulse rate, blood pressure and Encephalography (EEG) signal. The investigation aims to find the correlation between noise exposures to pulse rate (PR), blood pressure (BP) and EEG ...