Browsing by Author "Sazali, Yaacob"

Now showing items 1-20 of 74

    • Advancements in Transmitters and Sensors for Biological Tissue Imaging in Magnetic Induction Tomography 

      Zulkarnay, Zakaria; Ruzairi, Abdul Rahim; Muhammad Saiful Badri, Mansor; Sazali, Yaacob; Nor Muzakkir, Nor Ayob; Siti Zarina, Mohd. Muji; Mohd Hafiz Fazalul, Rahiman; Syed Mustafa Kamal, Syed Aman (MDPI AG, 2012-05-29)
      Magnetic Induction Tomography (MIT), which is also known as Electromagnetic Tomography (EMT) or Mutual Inductance Tomography, is among the imaging modalities of interest to many researchers around the world. This noninvasive ...

    • Appraising human emotions using time frequency analysis based EEG alpha band features 

      M. Murugappan; Ramachandran, Nagarajan; Sazali, Yaacob (Institute of Electrical and Electronics Engineering (IEEE), 2009-07-25)
      In recent years, assessing human emotions through Electroencephalogram (EEG) is become one of the active research area in Brain Computer Interface (BCI) development. The combination of surface Laplacian filtering, ...

    • Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG 

      Mohamad Rizon, Mohamed Juhari; Murugappan, M.; Ramachandran, Nagarajan; Sazali, Yaacob (World Scientific abd Engineering Academy and Scoiety (WSEAS), 2008)
      Electroencephalogram (EEG) is one of the most reliable physiological signals used for detecting the emotional states of human brain. We propose Asymmetric Ratio (AR) based channel selection for human emotion recognition ...

    • Brain machine interface based wheelchair control with minimal subject training 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Universiti Malaysia Perlis, 2009-10-11)
      Wheelchair control using a Brain Machine Interface based on motor imagery requires adequate subject training. In this paper we propose a new algorithm for a brain machine interface design which is implemented in real-time ...

    • Brain machine interface: A comparison between fuzzy and neural classifiers 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (ICIC International, 2009)
      Patients with neurodegenerative disease loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is through a brain machine ...

    • Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abd Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)
      Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...

    • Brain machine interface: motor imagery recognition with different signal length representations 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      This work investigates how signal representations affect the performance of a motor imagery recognition system, specifically we investigate on recognition accuracy and computational time of a brain machine interface designed ...

    • Classroom speech intelligibility prediction using backpropagation Neural Network 

      Paularaj, M. P.; Sazali, Yaacob; Ahmad Nazri; Thagirarani, M. (Coimbatore Institute of Technology, 2007-08-27)
      In terms of individual communication, speech is the most important and efficient means, even in today's multi-media society. Thus, classrooms are mainly used for delivering speech between lecturers and students, it is ...

    • Conceptual view of Pneumatic Artificial Muscle 

      Ramesh, Ramasamy; Mohamed Rizon, Mohamed Juhari; Sugisaka, Masanori; Mohd Rozailan, Mamat; Sazali, Yaacob (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
      The intention of this article is to introduce and overview Pneumatic Artificial Muscles (PAMs). The construction of PAMS mainly consist of flexible, inflatable membranes, having orthotropic material behaviour. The main ...

    • Damage detection in steel plates using discrete cosine transformation techniques and artificial neural network 

      Paulraj, M.P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Mohd Hafiz, Fazalul Rahiman; R Pranesh, Krishnan (Universiti Malaysia Perlis, 2009-10-11)
      In this paper, a simple method for crack identification in steel plates based on the Frame Energy based Discrete Cosine Transformation [DCT] moments is presented. A simple experimental procedure is also proposed to measure ...

    • Design and development of stereo motion for mobile observation center 

      Muhammad Naufal, Mansor; Sazali, Yaacob; Nagarajan, R.; Hariharan, M. (Universiti Malaysia Perlis, 2009-10-11)
      This paper presents an approach to the condition monitoring patient in ICU. A human-computer interface (HCI) system is designed for the people with severe disabilities. For the last decades, most of the patients’ sleeps ...

    • Design of alternative inhaler system to improve the delivery of inhaled pharmaceutical aerosol (IPA) 

      Md Tasyrif, Abdul Rahman; Ahmad Faizal, A. Salleh; Sazali, Yaacob; Hazlinda, Razali (Universiti Malaysia Perlis, 2009-10-11)
      The metered-dose inhaler (MDI) is used to prevent and relieve the symptoms and progression of certain diseases (asthma, chronic obstruction pulmonary disease, cystic fibrosis and bronchiectasis) by delivering the inhaled ...

    • A design of Omni-Directional for Mobile Robot 

      Jefri Efendi, Mohd Salih; Mohamedd Rizon, Mohamed Juhari; Sazali, Yaacob; Abdul Hamid, Adom (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
      This paper presents the processes undertaken in the design and development of an intelligent omni-directional mobile robot using four custom-made mecanum wheels. The mecanum wheel developed consists of nine rollers made ...

    • 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 ...

    • Development of a personified face emotion recognition technique using fitness function 

      Muthukaruppan, Karthigayan; Mohd Rizon, Mohamed Juhari; Ramachandran, Nagarajan; Masanori, Sugisaka; Sazali, Yaacob; Mohd Rozailan, Mamat; Hazry, Desa (Springer Japan, 2007-08-10)
      In this article, two subjects, one South East Asian (SEA) and the other Japanese, are considered for face emotion recognition using a genetic algorithm (GA). The parameters relating the face emotions in each case are ...

    • Development of Attitude Control System on RCM3400 microcontroller for Nano-satellite applications 

      Muhyi, Yaakop; Sazali, Yaacob; Abdul Rahman, Mohd Saad; Harihran, M.; Nagarajan, R. (Universiti Malaysia Perlis, 2009-10-11)
      This paper describes the development of a nano-satellite attitude control system (ACS) which employ a Kalman filter based controller and a simple adaptive predictive fuzzy logic controller (APFLC) for a 1, 2 and 3 axis ...

    • Dynamic axial crushing of empty and foam-filled conical aluminium tubes: Experimental and numerical analysis 

      Fauziah, Mat; Khairul Azwan, Ismail; Masniezam, Ahmad; Sazali, Yaacob; Inayatullah, Othman (Trans Tech Publications, 2014-09)
      This paper presents the crushing behaviour of empty and foam-filled conical tubes under axial dynamic loading. A nonlinear finite element (FE) model was developed and validated against experiments. The validated model was ...

    • 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, ...

    • EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces 

      Paulraj, Murugesapandian; Hema, Chengalvarayan Radhakrishnamurthy; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (Association for the Advancement of Modelling & Simulation Techniques in Enterprises (A.M.S.E.), 2008)
      The brain uses the neuromuscular channels to communicate and control its external environment, however many disorders can disrupt these channels. Amyotrophic lateral sclerosis is one such disorder which impairs the neural ...

    • Effect of filler on the impact characteristics of aluminium tubes 

      Fauziah, Mat; Khairul Azwan, Ismail; Sazali, Yaacob; Masniezam, Ahmad (Taylor & Francis, 2014-12-18)
      This paper presents the behaviour of empty and foam-filled aluminium alloy (AA6061-T6) tubes under dynamic axial loading. The influence of geometrical and various densities of fillers was investigated by employing a finite ...