Browsing School of Mechatronic Engineering (Articles) by Title

Now showing items 26-45 of 322

    • 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 ...

    • Capacitive micromachined ultrasonic tranducers: Technology and application 

      Muhammed Sabri, Salim; Mohd Fareq, Abd. Malek, Dr.; Boon, Raymond Whee Heng, Prof. Dr.; Khairudi, Mohd Juni.; Naseer, Sabri (Elsevier B.V., 2012-03)
      Capacitive micromachined ultrasonic tranducers (cMUTs) have recently emerged as an alternative to conventional piezoelectric transducers. They offer many advantages in terms of bandwidth, fabrication of layer arrays, ...

    • Car cabin interior noise classification using temporal composite features and probabilistic neural network model 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Allan Melvin, Andrew; Sazali, Yaacob, Prof. Dr. (Trans Tech Publications Inc., 2014)
      Determination of vehicle comfort is important because continuous exposure to the noise and vibration leads to health problems for the driver and passengers. In this paper, a vehicle comfort level classification system has ...

    • Characterization of fabricated feedstock using nano powders and a water-soluble binder in micro metal injection molding 

      Javad, Rajabi; Norhamidi, Muhamad, Prof. Dr.; Abu Bakar, Sulong, Prof Madya Ir Dr.; Hasyimah, Aziz; Fayyaz, Abdolali; Hafizawati, Zakaria (Trans Tech Publications, 2013-08)
      Micro metal injection molding has become the promising method in powder metallurgy research in order to fabricate small-scale intricate parts in an influential process and competitive cost of mass production. Stainless ...

    • Characterization of fabricated feedstock using nano powders and a water-soluble binder in micro metal injection molding 

      Javad, Rajabi; Norhamidi, Muhamad, Prof. Dr.; Abu Bakar, Sulong, Prof Madya Ir Dr.; Hasyimah, Aziz; Fayyaz, Abdolali; Hafizawati, Zakaria (Trans Tech Publications, 2013-11)
      Micro metal injection molding has become the promising method in powder metallurgy research in order to fabricate small-scale intricate parts in an influential process and competitive cost of mass production. Stainless ...

    • Circular discontinuities detection in welded joints using Circular Hough Transform 

      Hafizal, Yazid; Haniza, Yazid; Mohd Harun; Shukri Mohd; A. Aziz, Mohamed; Mohamed Rizon, Mohamed Juhari; Shaharudin, Sayutia (Elsevier B.V., 2007)
      Conventional radiography is one of the common non-destructive testing which employs manual image interpretation. The interpretation is very subjective and depends much on the inspector experience and working conditions. ...

    • Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks 

      Aimi, Abdul Nasir; Mohd Yusoff Mashor, Prof. Dr.; Rosline, Hassan (Zarqa University, Jordan, 2013-07)
      Leukaemia is a cancer of blood that causes more death than any other cancers among children and young adults under the age of 20. This disease can be cured if it is detected and treated at the early stage. Based on this ...

    • Classification of agarwood oil using an electronic nose 

      Wahyu, Hidayat; Ali Yeon, Md Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Assoc. Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr. (MDPI Publishing, 2010-05-06)
      Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be ...

    • Classification of driver drowsiness level using wireless EEG 

      Mousa Kadhim, Wali; Murugappan, Muthusamy, Dr.; R. Badlishah, Ahmad, Prof. Dr. (Przegląd Elektrotechniczny, 2013)
      In this work, wireless Electroencephalogram (EEG) signals are used to classify the driver drowsiness levels (neutral, drowsy, high drowsy and sleep stage1) based on Discrete Wavelet Packet Transform (DWPT). Two statistical ...

    • Classification of human emotion from eeg using discrete wavelet transform 

      Murugappan, M.; Ramachandran, Nagarajan; Sazali, Yaacob, Prof. Dr. (Scientific Research Publishing Inc, 2010-04)
      In this paper, we summarize the human emotion recognition using different set of electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual induction based protocol has been designed with more ...

    • Classification of speech dysfluencies using LPC based parameterization techniques 

      Hariharan, Muthusamy; Lim, Sin Chee; Ooi, Chia Ai; Sazali, Yaacob, Prof. Dr. (Springer Science+Business Media, LLC., 2011-01-20)
      The goal of this paper is to discuss and compare three feature extraction methods: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and Weighted Linear Prediction Cepstral Coefficients ...

    • Classification of speech dysfluencies with MFCC and LPCC features 

      Ooi, Chia Ai; Muthusamy, Hariharan, Dr.; Sazali, Yaacob, Prof. Dr.; Lim, Sin Chee (Elsevier Ltd., 2012-02)
      The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum Coefficients (LPCC) for recognizing the stuttered events. Speech ...

    • Clustering analysis of human finger grasping based on SOM neural network model 

      Nazrul H., Adnan; Wan Khairunizam, Wan Ahmad, Dr.; Shahriman, Abu Bakar, Dr.; Juliana Aida, Abu Bakar (IJENS Publishers, 2014)
      SOM (Self-organizing Maps) model was introduced to cluster and analyse on the human grasping activities of GloveMAP based on data reduction of the initial grasping data.By acquiring the data reduction of the initial hand ...

    • Cognitive wireless sensor actor network: an agricultural perspective 

      Naseer, Sabri; Syed Alwee Aljunid, Syed Junid, Prof. Dr.; Muhammed Sabri, Salim; Rezuwan, Kamaruddin, Prof. Ir. Dr. Hj.; R. Badlishah, Ahmad, Prof. Dr.; Mohd Fareq, Abd Malek, Dr. (ICIC International, 2014-04)
      Intelligent environments are exposing the next revolutionary steps of development technologies in automation of building, industrial, home, and transportation systems. The new generation of Wireless Sensor Actor Networks ...

    • Coherence in muscle activity of the biceps brachii at middle, proximal and distal tendon region among the arm wrestling contestants 

      Nizam Uddin, Ahamed; Sundaraj, Kenneth, Assoc. Prof. Dr.; R. Badlishah, Ahmad, Prof. Dr.; Matiur J., Rahman; Md. Anamul, Islam; Md. Ashraf, Ali (Scientific Publishers of India, 2013)
      The aim of this study was to analyze the electromyographic (EMG) activity of biceps brachii (BB) muscle under the same muscle contraction in three different locations. For this reason, arm wrestling contest was conducted ...