Browsing Sazali Yaacob, Prof. Dr. by Title

Now showing items 115-134 of 251

    • Identification of vocal and voice disorders 

      Murugesa Pandiyan, Paulraj, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Rizon, Mohammed Juhari, Prof. Dr.; Sivanandam, S. N.; Muthusamy, Hariharan, Dr. (Universiti Malaysia Perlis (UniMAP), 2007-10-25)
      The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ...

    • Identification of vocal fold pathology based on Mel Frequency Band Energy Coefficients and singular value decomposition 

      Hariharan, Muthusamy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-11-18)
      Many approaches have been developed to detect the vocal fold pathology. Among the approaches, analysis of speech has proved to be an excellent tool for vocal fold pathology detection. This paper presents the Mel Frequency ...

    • Impact response of thin-walled tubes: A prospective review 

      Fauziah, Mat; Khairul Azwan, Ismail, Dr.; Sazali, Yaacob, Prof. Dr.; Inayatullah, Othman (Trans Tech Publications, 2012-04)
      Thin-walled structures have been widely used in various structural applications asimpact energy absorbing devices. During an impact situation, thin-walled tubesdemonstrate excellent capability in absorbing greater energy ...

    • Implementing eigen features methods/neural network for EEG signal analysis 

      Saidatul Ardeenawatie, Awang; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2013-01)
      This paper presented the possibility of implementing eigenvector methods to represent the features of electroencephalogram signal. In this study, three eigenvector methods were investigated namely Pisarenko, Multiple Signal ...

    • Improved back propagation neural network for the diagnosis of pathological voices 

      Paulraj, M.P.; Sazali, Yaacob, Prof. Dr.; Sivanandam, S. N.; Hariharan, Muthusamy (Association for Advancedment of Modelling and Simulation Techniques in Entreprises (A.M.S.E), 2008)
      Most of vocal and voice diseases cause changes in the voice. ENT clinicians use acoustic voice analysis to characterize the pathological voices. Nowadays, voice diseases are increasing dramatically due to unhealthy social ...

    • Improving gas component detection of an ultrasonic tomography system for monitoring liquid/gas flow 

      N. M., Nor Ayob; Sazali, Yaacob, Prof. Dr.; Zulkarnay, Zakaria; Ruzairi, Abd Rahim; M. R., Manan (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      The development of an ultrasonic transmission tomography system is described. The system is intended for the imaging of two component flows (such as gas/water) inside pipes of industrial processes. Transmission-mode ...

    • In vitro evaluation of finger's hemodynamics for vein graft surveillance using electrical bio-impedance method 

      Lee, Hoi Leong; Shahriman, Abu Bakar, Dr.; Sazali, Yaacob, Prof. Dr.; Zuradzman, Mohamad Razlan, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Zunaidi I.B; Cheng, Ee Meng, Dr.; Siti Khadijah, Za'aba, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Afendi, Rojan, Dr.; Sharifah Roohi, Syed Waseem Ahmad (American-Eurasian Network for Scientific Information (AENSI), 2014-03)
      Electrical bio-impedance measurement has great potential in many biomedical applications including vein graft surveillance. Studies have shown that thrombosis was the major cause of the vein graft failure. The meticulous ...

    • Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks 

      Muthusamy, Hariharan; Jeyaraman, Saraswathy; Sindhu, Ravindran; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Elsevier Ltd, 2012-08)
      A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ...

    • Infant cry classification: time frequency analysis 

      Saraswathy, Jeyaraman; Hariharan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr.; Thiyagar., N (IEEE Conference Publications, 2013-11)
      Acoustic analysis of infant cry has been the subject of a number of researchers since half decades ago. This paper addresses a simple time-frequency analysis based signal processing technique using short-time Fourier ...

    • Infant hungry recognition based on k-NN and Autoregressive Model 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Nazri, Rejab (American Scientific Publishers All rights reserved., 2013-11)
      To study their behaviour without knowing what their needs is another crucial issue. A lot of researches have been rapidly investigated. Thus, in this paper we proudly proposed a system to determine the hungry infant based ...

    • Intelligent Diagnosis System for Voice Disorders 

      Sazali Yaacob, Prof. Dr.; Paulraj, Assoc. Prof. Dr.; M. Hariharan; S.A. Mohd Yusof (School of Mechatronic Engineering, 2008-01-09)
      Diagnosis system for voice disorders without expertise of ENT.

    • An Intelligent Gesture to Voice Communication System for Hearing Impaired 

      Paulraj, M. P. , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Prof. Madya Dr.; Wan Mohd Ridzuan; Sathees, Kumar; Raj, Kumar; Norasmadi, Abd Rahim (Universiti Malaysia Perlis, 2010-01-07)
      The designed system is accessible and user friendly. This system is primarily designed for deaf, deafened and hard of hearing people to solve their communication problems and gives them the same whole life experience to ...

    • Intelligent Sensor for Reversing Vehicles 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Nagarajan, Ramachandran, Prof.; Sazali, Yaacob, Prof. (Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)
      The Intelligent Sensor for Reversing Vehicles comprises of a stereo camera (placed on the rear bumper of the car), a processing unit, a display unit and speaker (placed near the dashboard of the car). The cameras are ...

    • An Intelligent System for Engine Fault Detection 

      Paulraj, M.P., Assoc. Prof Dr.; Sazali, Yaacob, Prof. Dr.; Nor Shaifudin, Abd Hamid (Malaysian Invention & Design Society (MINDS), 2007-05-18)
      Condition monitoring and machinery fault diagnosis are central to the implementation of efficient maintenance management strategies. In real time vehicle servicing environment engine fault diagnosis is being done manually ...

    • 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 ...

    • An Intelligent Vision Based Domestic Waste Sorting System 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Ramachandran, Nagarajan, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; R. Jaii Ganes Rangasamy; Maheswaran, Degarajan (School of Mechatronic Engineering, 2008-01-09)
      The Intelligent Vision Based Domestic Waste Sorting System is an automatic waste sorting system which use vision and infra red sensors to indentify paper and plastic. The system consists of a conveyor system to feed the ...

    • Investigation of vision impairments using pattern reversal VEPs and extreme learning machine 

      Vijean, Vikneswaran; Hariharan, Muthusamy; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Analysis of vision impairment using pattern reversal visually evoked potentials (VEP) is gaining interest from researchers. The VEPs are collected using non-invasive EEG electrodes from the scalp overlaying the occipital ...

    • An investigation on visual and audiovisual stimulus based emotion recognition using EEG 

      Murugappan, M.; Mohd Rizon, Mohammed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. (Inderscience Enterprises Ltd., 2009-01)
      In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed ...

    • Japanese face emotions classification using lip features 

      Mohamad Rizon, Mohamed Juhari; Muthukaruppan, Karthigayan; Sazali, Yaacob; Nagarajan, R. (Institute of Electrical and Electronics Engineering (IEEE), 2007)
      In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted ...

    • Jaundice in newborn 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)
      Jaundice is a yellow discoloration of the skin and/or whites of the eyes that is often seen in newborn infants. The discoloration is caused by a yellow substance called bilirubin. Infants with high blood levels of bilirubin, ...