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  • Applying the ISO9126 Model to the evaluation of an e-learning system 
    Chua Bee Bee; Dyson Laurel (Australiasian Society for computers in Learning in Tertiary Education, 2004)
    Despite the widespread use of e-learning systems and the considerable investment in purchasing or developing them in house, there is no consensus on a standard framework for evaluating system quality. This paper proposes ...
  • Benchmarking Capstone Projects in UTS Faculty of Engineering 
    Jarman Robert; Willey Keith (Queensland University of Technology, 2007)
    UTS Faculty of Engineering capstone projects are undertaken in the final semester(s) of study and provide an opportunity for students to demonstrate a capacity to perform at the levels expected of a professional engineer. ...
  • Context based riskiness assessment 
    Chang Elizabeth; Hussain Farookh; Hussain Omar; Dillon Tharam; Soh Ben (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    In almost every interaction the trusting peer might fear about the likelihood of the loss in the resources involved during the transaction. This likelihood of the loss in the resources is termed as Risk in the transaction. ...
  • A Course Recommender System Using Multiple Criteria Decision Making Method 
    Le Roux Francois; Ranjeet Elkunchwar; Ghai Vinit; Gao Ya; Lu Jie (Atlantis Press, 2007)
  • Driver Fatigue: Psychological and Electroencephalography Assessment 
    Lal Saroj; Craig Ashley (Austroads, 2001)
    Task performance during driving may be influenced by psychological factors since individuals differ in temperament and anxiety status. Fatigue has also been shown to be associated with changes in brain wave activity. ...
  • Early driver fatigue detection from electroencephalography signals using artificial neural networks 
    Nguyen Hung; King Leslie; Lal Saroj (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    This paper describes a driver fatigue detection system using an Artificial Neural Network (ANN). Using electroencephalogram (EEG) data sampled from 20 professional truck drivers and 35 non professional drivers, the time ...
  • Improved Head Direction Command Classification Using An Optimized Bayesian Neural Network 
    Nguyen Thanh Son; Nguyen Hung; Taylor Philip; Middleton James (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Assistive technologies have recently emerged to improve the quality of life of severely disabled people by enhancing their independence in daily activities. Since many of those individuals have limited or non-existing ...
  • Kernel-based Subspace Analysis for Face Recognition 
    Jan Tony; Tsai Po-Hsiang; Hintz Thomas (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    In face recognition, if the extracted input data contains misleading information (uncertainty), the classifiers may produce degraded classification performance. In this paper, we employed kernel-based discriminant ...
  • Multi-robot simultaneous localization and mapping using D-SLAM framework 
    Huang Shoudong; Wang Zhan; Dissanayake Gamini (ARC Research Network on Sensor Networks, 2007)
    This paper presents an algorithm for the multi-robot simultaneous localization and mapping (SLAM) problem with the robot initial locations completely unknown. Each robot builds its own local map using the traditional ...
  • Mutual Information Based Data Association 
    Alempijevic Alen; Kodagoda Sarath; Dissanayake Gamini (IEEE, 2009)
    Relating information originating from disparate sensors without any attempt to model the environment or the behaviour of any particular object within it is a challenging task. Inspired by human perception, the focus of ...
  • Neural Network classifiers for automated video surveillance 
    Piccardi Massimo; Jan Tony; Hintz Thomas (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2003)
    In automated visual surveillance applications, detection of suspicious human behaviors is of great practical importance. However due to random nature of human movements, reliable classification of suspicious human ...
  • Neural-network detection of hypoglycemic episodes in children with type 1 diabetes using physiological responses 
    Ghevondian Nejhdeh; Nguyen Hung; Jones Timothy (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    The most common and highly feared adverse effect of intensive insulin therapy in patients with diabetes is the increased risk of hypoglycemia. Symptoms of hypoglycemia arise from the activation of the autonomous central ...
  • A Novel Hybrid System for Skin Lesion Detection 
    Al-Jumaily Adel; Chiem Andy; Khushaba Rami N (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    In this paper, a new intelligent method of classifying benign and malignant melanoma lesions is implemented. The system consists of four stages; image pre-processing, image segmentation, feature extraction, and image ...
  • PIPPON: A physical infrastructure peer-to-peer overlay networks 
    Le Thi Hong Hanh; Hoang Doan; Simmonds Andrew (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    The scalability and efficiency of P2P systems are determined largely by two factors: the degree of matching between the P2P overlay and its underlying physical network, and the efficiency ofthe P2P application routing ...
  • The reliability of sensing fatigue from neurophysiology 
    Lal Saroj; Bekiaris Evangelos (UTS, 2007)
    To date no-study has tested the reproducibility of electroencephalography (EEG) changes that occur during driver fatigue. For the EEG changes to be useful in the development of a fatigue sensing and countermeasure device ...
  • Robust short term prediction using combination of linear regression and modified probabilistic neural network model 
    Jan Tony (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2003)
    In many business applications, accurate short term prediction is vital for survival. Many different techniques have been applied to model business data in order to produce accurate prediction. Artificial neural network ...
  • Support Vector Machines based on set covering 
    Wang Jiaqi; Zhang Chengqi (Macquarie Scientific Publishing, 2004)
    Support Vector Machines (SVMs) have been the promising method in the field of machine learning. But for the real applications there are still some drawbacks in SVMs. e.g. the high training cost and too many support ...
  • Swarm Intelligence based Dimensionality Reduction for Myoelectric Control 
    Al-Ani Ahmed; Khushaba Rami N; Al-Jumaily Adel (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    Recent approaches in multifunction myoelectrically controlled prosthetic devices revealed that dimensionality reduction plays a significant role in the overall system performance. In this paper, a new feature selection ...
  • Towards a countermeasure device to detect fatigue in drivers 
    Lal Saroj; Craig Ashley (ARRB Transport Research Ltd, 2003)
    Fatigue affects the drivers' ability to continue driving safely. Therefore, on-line monitoring of physiological signals while driving provides the possibility of detecting fatigue in real time. The EEG signal has been ...
  • Towards an improved understanding of methods for obtaining information relevant for evaluating work integrated learning programs 
    Moulton Bruce (Queensland University of Technology, 2007)
    This paper explores issues associated with research-based methods for obtaining information intended to be useful for evaluating work integrated learning programs. In particular, the paper compares and contrasts two studies ...