Browsing by Author "Sazali, Yaacob, Prof. Dr."

Now showing items 1-20 of 184

    • Adaptive Neuro-Controller for three-axes attitude control of innovative satellite 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; M. N. Norhayati; W. N. Hadani; Sazali, Yaacob, Prof. Dr. (Science Academy Publisher, 2011-03)
      There exists so many disturbance torques in space which may deviate the satellite from the desired attitude. To overcome the effects of the disturbance torques some stabilization has to be provided to the satellite. This ...

    • An adaptive predictive fuzzy logic for the altitude control of a micro-satellite 

      Ramachandran, Nagarajan; Pandiyan, Paulraj Murugesa, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Zuraidah, Md Zain, Prof. Dr.; Rusli, R. (Association pour la promotion des techniques de modelisation et de simulation dans l'entreprise Press, 2009)
      This paper deals with the attitude control of a micro-satellite in space using fuzzy logic principles. A micro-satellite in space can behave in an un-predictive way due the effect of variations in its system parameters and ...

    • 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 ...

    • Analysis of infant cry through weighted linear prediction cepstral coefficients and probabilistic neural network 

      Hariharan, Muthusamy; Lim, Sin Chee; Sazali, Yaacob, Prof. Dr. (Springer Science+Business Media, LLC., 2012)
      Acoustic analysis of infant cry signals has been proven to be an excellent tool in the area of automatic detection of pathological status of an infant. This paper investigates the application of parameter weighting for ...

    • Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation 

      Nor Hazadura, Hamzah; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Norhizam, Hamzah (Institute of Electrical and Electronics Engineers (IEEE), 2013-03)
      Objective of this paper is to investigate whether the noise in attitude dynamics model and measurement model is Gaussian white noise process or not. This is important because if the assumption regarding the noise is wrong, ...

    • Application of feedforward neural network for the classification of pathological voices 

      Sazali, Yaacob, Prof. Dr.; Murugesa Padiyan, Paulraj, Dr.; Mohd Rizon, Mohammed Juhari, Prof. Dr.; Muthusamy, Hariharan, Dr. (Universiti Teknologi MARA (UiTM), 2007-03-09)
      This paper present the application of feed forward neural network for the classification of pathological voices based on the on the acoustic analysis and EGG features. Acoustic analysis is a non-invasive technique based ...

    • An application of finite element modelling to pneumatic artificial muscle 

      Ramasamy, Ravichandran; Mohd. Rizon, Mohamed Juhari, Prof. Ir. Dr.; Mohd Rozailan, Mamat, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Nashrul Fazli, Mohd Nasir, Dr.; Sugisaka, Masanori (Science Publications, 2005)
      The purpose of this article was to introduce and to give an overview of the Pneumatic Artificial Muscles (PAMs) as a whole and to discuss its numerical modelling, using the Finite Element (FE) Method. Thus, more information ...

    • Application of frame energy based DCT moments for the damage diagnosis in steel plates using FLNN 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Krishnan, Pranesh (IEEE Conference Publications, 2012-12)
      This paper discusses the application of frame energy based Discrete Cosine Transformation (DCT) moment features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel ...

    • Applications of visually evoked potentials in ocular diseases: a guided tour 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-12)
      Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual stimuli. These responses are recorded non-invasively by placing the surface electrodes at the scalp, ...

    • Arthroscopy Knee Reconstruction Using Virtual Reality Assisted Medical Robots 

      Sundaraj, Kenneth, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Malaysian Invention & Design Society (MINDS), 2006)
      Located in the center of the knee the anterior cruciate ligament (ACL) is the primary stabilizer of the knee joint which is frequently injured by a twisting or pivoting movement.

    • Assimilate the auditory scale with wavelet packet filters for multistyle classification of speech under stress 

      Nurul Aida Amira, Johari; Muthusamy, Hariharan, Dr.; Saidatul Ardeenawatie, Awang; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Nowadays, people are having high stress level due to highworkload stress, emergency phone call and multitasking. Emotional/stress of a person affects his/her performance in daily life and speech production. The research ...

    • Asynchronous brain machine interface-based control of a wheelchair 

      Hema, Chengalvarayan Radhakrishnamurthy; Murugesan Pandiyan, Paulraj, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Dr.; Ramachandran, Nagarajan, Prof. Dr. (Springerlink, 2011)
      A brain machine interface (BMI) design for controlling the navigation of a power wheelchair is proposed. Real-time experiments with four able bodied subjects are carried out using the BMI-controlled wheelchair. The BMI is ...

    • Auditory wavelet packet filters for multistyle classification of speech under stress 

      Nurul Aida Amira, Johari; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr.; Vijean, Vikneswaran (IEEE Conference Publications, 2011-11)
      Nowadays, people are having high stress level due to high workload stress, emergency phone call and multitasking. Emotional/stress of a person affect his/her performance in daily life and speech production. The research ...

    • Automated system for stress evaluation based on EEG signal: A prospective review 

      Saidatul Ardeenawatie, Awang; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Nashrul Fazli, Mohd Nasir (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      This paper reviews the issues related to the automated system for stress evaluation based on brain signal. It describes the current status of mental health especially in Malaysia. The anatomy of stress is briefly discussed ...

    • Automatic classification of infant cry: A review 

      Saraswathy, J.; Muthusamy, Hariharan, Dr.; Sazali, Yaacob, Prof. Dr.; Wan Khairunizam, Wan Ahmad, Dr, (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      This paper reviews the some of significant works on infant cry signal analysis proposed in the past two decades and reviews the recent progress in this field. The cry of baby cannot be predicted accurately where it is very ...

    • Automatic detection of prolongations and repetitions using LPCC 

      Chee, L. S.; Ooi, Chia Ai; Hariharan, M.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-12-14)
      Stuttering is a speech disorder in which the normal flow of speech is disrupted by occurrences of dysfluencies, such as repetitions, interjection and so on. There are high proportion of repetitions and prolongations in ...

    • Automatic detection of voice disorders using self loop architecture in back propagation network 

      Murugesa Pandiyan, Paulraj, Prof. Madya Dr,; Sazali, Yaacob, Prof. Dr.; Sivanandam, S. N.; Muthusamy, Hariharan, Dr. (Anna University, 2008-01-04)
      Acoustic analysis is a non-invasive technique to detect the voice disorders and diagnose the vocal and voice disease. In the recent years, voice disease are increasing dramatically due to unhealthy social habits and voice ...

    • Automatic infant anxiety character with SVM 

      Sazali, Yaacob, Prof. Dr.; Muthusamy, Hariharan, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Lutfi, Mohd Khidir; Ku Mohd Yusri, Ku Ibrahim; Syahrull Hi-Fi Syam, Ahmad Jamil; Ahmad Kadri, Junoh; Muhammad Nazri, Rejab; Muhammad Naufal, Mansor (Elsevier Ltd., 2012)
      Notable complications of sedation practices have been identified and efforts to modify these practices in ICUs have begun. While sedation-scoring tools have been introduced into clinical practice in intensive care few have ...

    • Automatic Stuttering Recognition Tool 

      Ooi, Chia Ai; Muthusamy, Hariharan; Lim, Sim Chee; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis, 2010-01-07)
      An automatic stuttering recognition system is developed to count and classy the two types of dysfuencies (repetition and prolongation) automatically.

    • Automatically infant cues recognition based on LDA and SVM classifier 

      Sazali, Yaacob, Prof. Dr.; Muhammad Nazri, Rejab; Ahmad Kadri, Junoh; Syahrull Hi-Fi Syam, Ahmad Jamil; Shafriza Nisha, Basah, Dr.; Muthusamy, Hariharan, Dr.; J, Ahmad; Mohd Lutfi, Mohd Khidir; Ku Mohd Yusri, Ku Ibrahim; Muhammad Naufal, Mansor (Springer Berlin Heidelberg, 2013)
      This paper presents the management of sedation in critically ill infants is a complex issue for Intensive Care Units (ICU) worldwide. Notable complications of sedation practices have been identified and efforts to modify ...