Now showing items 12-31 of 322

    • Analysis of finger movement by using motion information from glovemap and motion capture system 

      Moustafa Hazwan, Ali; Wan Khairunizam, Wan Ahmad, Dr.; Nazrul Hamizi, Adnan; Y. C, Seah; Juliana Aida, Abu Bakar, Dr.; Zuradzman, Mohamad Razlan, Dr. (IJENS Publishers, 2013)
      Nowadays, through the advancement of science and technology, possibility of human finger provide information into computer is no longer question. Fingers movement and hand motion continuously being center of research in ...
    • 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 stress concentration factor in bolted joint using finite element method 

      Khaleed Hussain, M. T.; Samad, Zahurin; Suhaib, S.; Uthman, A. R.; Jagirdar, S. A.; Badruddin, Irfan Anjum; Mallíck, Zulquernain; Khan, Zahid Akhtar; Abdul Quadir, Ghulam (University of MalayaDepartment of Mechanical Engineering, 2008)
      Bolted joints are widely used in industries e.g. pressure vessels, automobiles, machine tools, home appliances etc., thus it is becoming increasingly important to accurately predict the behavior of bolted joints. The ...
    • An Ant Colony System for Solving DNA Sequence Design Problem in DNA Computing 

      Farhaana, Yakop; Zuwairie, Ibrahim; Amar Faiz, Zainal Abidin; Zulkifli, Md. Yusof; Mohd Saberi, Mohamad; Khairunizam, Wan; Watada, Junzo (ICIC International, 2012-10)
      Deoxyribonucleic acid (DNA) is a nucleic acid that contains the genetic information used in the development and functioning of all known existing organisms. In DNA computing, a set of DNA sequences is involved in solving ...
    • Application study on bubble detection in a metallic bubble column using electrical resistance tomography 

      Suzanna, Ridhuan Aw; Ruzairi, Abdul Rahim, Prof. Dr.; Mohd Hafiz, Fazalul Rahiman, Dr.; Fazlul Rahman, Mohd Yunus; Naizatul Shima, Fadzil; Mohd Zikrillah, Zawahir; Mohd Fahajumi, Jumaah; Muhammad Jaysuman, Pusppanathan; Nor Muzakkir, Nor Ayob; Yasmin, Abdul Wahab; Salinda, Buyamin, Dr. (Penerbit UTM Press, 2014)
      Electrical RESISTANCE tomography (ERT) has been chosen as the field of study because of its advantages of being low COST, suitable for various kinds and sizes of pipes and vessels, having no radiation hazard, and being ...
    • Assessing engineering students’ practical intelligence as the outcome of performing ‘hands-on’ laboratory classes 

      Zol Bahri, Razali, Dr.; Trevelyan, James P. (Penerbit UTM, 2013)
      Experience in an engineering laboratory is important for engineering students and expected to enhance understanding of engineering concepts for which they have learned the theory. Although the aim of the laboratory is an ...
    • 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 ...
    • 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 ...
    • Atrial Fibrillation Identification through ECG Signals 

      Ng Joe, Yee; Vikneswaran, Vijean; Saidatul Ardeenawatie, Awang; Chong Yen, Fook; Lim Chee, Chin (IOP Publishing, 2019)
      This paper presents an algorithm formulated to identify the atrial fibrillation complications through electrocardiogram (ECG) signals. The ECG data for the study was retrieved from Physio Net which consists of normal, ...
    • Automated car seed limiter for cars with electronic fuel pedal 

      Muhamad Khairul, Ali Hassan; James, Josip Peranchis; Kang, Faidi; Shao, Liang Ng (Trans Tech Publications, Switzerland., 2012)
      With increasing of road network and vehicle's specification, most of new vehicles will be driven exceeding the posted speed limit. More than half of the fatalities in motor vehicle accidents have been proved to be due to ...
    • An automated cervical pre-cancerous diagnostic system 

      Nor Ashidi, Mat-Isa; Mohd Yusoff Mashor; Nor Hayati, Othman (Elsevier B.V., 2008-01)
      Objective: This paper proposes to develop an automated diagnostic system for cervical pre-cancerous. Methods and data samples: The proposed automated diagnostic system consists of two parts; an automatic feature extraction ...
    • Automated identification of exudates and optic disc based on inverse surface thresholding 

      Haniza, Yazid; Hamzah, Arof, Dr.; Hazlita, Mohd Isa, Dr. (Springer Science+Business Media, LLC., 2012)
      This paper presents a new approach to detect exudates and optic disc from color fundus images based on inverse surface thresholding. The strategy involves the applications of fuzzy c-means clustering, edge detection, otsu ...
    • Automated thresholding in radiographic image for welded joints 

      Haniza, Yazid; Hamzah, Arof, Dr.; Hafizal, Yazid (Taylor & Francis, 2012)
      Automated detection of welding defects in radiographic images becomes non-trivial when uneven illumination, contrast and noise are present. In this paper, a new surface thresholding method is introduced to detect defects ...
    • Automatic glass-slide capturing system for cervical cancer pre-screening program 

      Nor Rizuan, Mat Noor; Nor Ashidi, Mat Isa; Mohd Yusoff, Mashor; Kamal Zuhairi, Zamli; Mohammad Subhi Al-Batah (Science Publications, 2008)
      Clinical glass-slide capturing system is becoming an important part of telemedicine, medical database and diagnostic system that involves of microscope and image acquisition device which is digital camera. One of the areas ...
    • Behaviour of stress corrosion cracking of austenitic stainless steels in sodium chloride solutions 

      Samir Milad, Elsariti; Haftirman, Dr. (Elsevier B.V., 2013)
      Click Stress Corrosion Cracking (SCC) is an environmentally well-known as a failure caused by exposure to a corroding while under a sustained tensile stress. SCC is most often rapid, unpredictable. Failure can occur in a ...
    • A BI-RADS based expert systems for the diagnoses of breast diseases 

      Umi Kalthum, Ngah; Shalihatun Azlin, Aziz; Mohd Ezane, Aziz; Mazeda, Murad; Nik Munirah, Nik Mahdi; Ali Yeon, Md Shakaff; Nor Ashidi, Mat Isa; Mohd Yusoff, Mashor; Mohd. Rizal, Arshad (Science Publications, 2007)
      We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system ...
    • A Binary Particle Swarm Optimization Approach to Optimize assembly sequence planning 

      Jameel Abdulla, Ahmed Mukred; Zuwairie, Ibrahim, Dr.; Ismail R., Ibrahim; Asrul, Adam; Wan Khairunizam, Wan Ahmad, Dr.; Zulkifli, Md Yusof; Norrima, Mokhtar, Dr. (American Scientific Publishers, 2012-06)
      This paper presents an approach of applying Binary Particle Swarm Optimization (BPSO) algorithm to an assembly sequence-planning (ASP) problem. Permutation encoding of sequences is used to represent particles, then those ...
    • 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: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya (University of Basrah, 2008)
      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 structural complexity and life course cognitive change 

      Nazahah, Mustafa; Ahearn, Trevor S.; Waiter, Gordon D.; Murray, Alison D.; Whalley, Lawrence J.; Staff, Roger T. (Elsevier B.V., 2012-07)
      Fractal measures such as fractal dimension (FD) can quantify the structural complexity of the brain. These have been used in clinical neuroscience to investigate brain development, ageing and in studies of psychiatric and ...