Now showing items 1-20 of 53

    • 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 ...
    • Artificial intelligence techniques in IC chip marking 

      Muthukaruppan, Kartigayan; Nagarajan, R.; Sazali, Yaacob; Pandian, Paulraj; Mohamed Rizon, Mohamed Juhari (Kolej Universiti Kejuruteraan Utara Malaysia, 2005)
      In this paper, an industrial machine vision system incorporating Optical Character Recognition (OCR) is employed to inspect the marking on the Integrated Circuit (IC) Chips. This inspection is carried out while the ICs are ...
    • 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 ...
    • Automated face localization and facial features detection using geometric information 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Karthigayan, M.; Sugisaka, M.; Hazry, Desa, Dr.; Ibrahim, Z. (Malaysia-Japan University Center (MJUC), 2007-11-12)
      This paper presents algorithms to detect irises of both eyes and mouth from color and intensity images and extracts intensity valleys from the race region. Next, the algorithm extracts iris candidates from the valleys and ...
    • Automatic detection of face and facial features 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Woo, San San; Sugisaka, M. (World Scientific and Engineering Academy and Society (WSEAS), 2008-02-20)
      An algorithm to automatically detect facial features from color images has been developed. First, face region is located using skin-color information. Then, the iris candidates are extracted from the intensity valleys ...
    • Backpropagation algorithm for rice yield prediction 

      Puteh, Saad; Mohamed Rizon, Mohamed Juhari; Nor Khairah, Jamaludin; Siti Sakira, Kamarudin; Aryati, Bakri; Nursalasawati, Rusli (Oita University, 2004-01-28)
      Parameters that affect rice yield are many, for instance diseases, pests and weeds. Statistical or mathematical model is unable to describe the correlation between plant diseases, pests and weeds on the amount of rice ...
    • Bioi2D-Wireless Embedded System for Biometric Identification Based on Iris Detection 

      Ali Yeon, Md Shakaff, Prof. Dr.; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Rizon, Mohamed Juhari, Prof. Madya Dr.; Ahmad Nasir, Che Rosli; Wan Muhamad Azmi, Mamat (Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)
      Biometrics refers to automatic identification of a person based on his or her physiological or behavioral characteristics which provides a reliable and secure user authentification for the increased security requirements ...
    • Biometric Identification: Face Recognition based on Iris Detection 

      Mohd Rizon, Mohamed Juhari, Prof. Madya Dr.; R. Badlishah, Ahmad, Prof. Madya Dr.; Ahmad Nasir, Che Rosli (International Exhibition of Inventions, 2006-04-05)
      A face recognition system that use the iris centers of both eyes for normalization.
    • Biometric Identification: Face Recognition based on Iris Detection 

      Mohd Rizon, Mohamed Juhari, Prof. Madya Dr.; Tsuyoshi, Kawaguchi; R. Badlishah, Ahmad, Prof. Madya Dr.; Ahmad Nasir, Rosli (Kementerian Pengajian Tinggi Malaysia, 2005-09-30)
      A face recognition system that use the iris centers of both eyes for normalization.
    • Biometric Identification: Face Recognition based on Iris Detection 

      Mohd Rizon, Mohd Juhari, Prof. Madya Dr.; R. Badlishah, Ahmad, Prof. Madya Dr.; Ahmad Nasir, Che Rosli (International Exhibition of Inventions, 2006-04-05)
      A new face recognition system using iris detection. Can be applied to a face image in which the position, scale and image- plan rotation are unknown.
    • 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. ...
    • A comparison of circular object detection using Hough transform and chord intersection 

      Mohamed Rizon, Mohamed Juhari; Haniza, Yazid; Puteh, Saad (Institute of Eelectrical and Electronics Engineering (IEEE), 2007-07)
      In this paper, the circular Hough transform (CHT) and the chord intersection have been used to find the circular object in the feature extraction process. The chord intersection technique does not require any gradient ...
    • 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 ...
    • Control of Omni-Directional Mecanum wheel mobile Robot and analysis of Artificial Muscle 

      Mohamedd Rizon, Mohamed Juhari, Prof Madya Dr.; Jefri Efendi, Mohd Salih; Mohammad Hanif, Abdul Hamid (Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 2006)
      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 ...
    • 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 ...
    • Detection of coconuts location using separability filter and Hough Transform 

      Haniza, Yazid; Mohamed Rizon, Mohamed Juhari; Sugisaka, Masanori; Puteh, Saad; Ali Yeon, Md Shakaff; Abdul Rahman, Mohd. Saad (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
      In this paper, we develop a technique to determine coconuts location using separability filter and Hough transform method. Our research involves two sequential steps for solving the coconuts detection and recognition. The ...
    • 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 ...
    • The effects of compiler optimizations in face recognition system 

      Shuhaizar, Daud; Khalib, Z.I.K; R. Badlishah, Ahmad; Mohamad Rizon, Mohamed Juhari (Institute of Electrical and Electronics Engineering (IEEE), 2008)
      One of the few challenges facing face recognition systems is real time processing. In order for a face recognition system to be viable for real world implementations, it needs to be fast enough to track and identify facial ...
    • Electromyography signal based for intelligent prosthesis design 

      Zunaidi, Ibrahim; Ramachandran, Nagarajan, Prof. Dr.; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Hazry, Desa, Dr.; Ruslizam, Daud; Azlin, C. O. (Springer-Verlag, 2008-06-25)
      Electromyography (EMG) is widely used throughout the world for different study such as clinical diagnosis and for movement analysis. One of the applications of EMG is in the development of myoelectric prosthesis. It is ...
    • Embedded Networked Sensing System 

      R. Badlishah, Ahmad, Assoc. Prof. Dr.; Mohamad Rizon, Mohamed Juhari, Assoc. Prof. Dr.; Wan Muhamad Azmi, Mamat; Ahmad Nasir, Che Rosli; Shuhaizar, Daud; Abdul Halis, Abdul Aziz; Intan Shafinaz, Mohammad; Nurfarhana, Maamor (School of Computer & Communication Engineering, 2008-01-09)
      Develop a reliable data acquisition sensing system based on 32 bit single board computer using Linux which collect analog sensor's input and store on server.