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  • 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 ...
  • Towards the Development of a Countermeasure Device to Detect Fatigue in Drivers from Electroencephalography Signals 
    Lal Saroj; Craig Ashley (Austroads, 2001)
    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 ...
  • Two Channel EEG thought pattern classifier 
    Nguyen Hung; Craig Daniel; Burchey Harold (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    This paper presents a real-time Electro- Encephalogram (EEG) identification system with the goal of achieving hands free control. With two EEG electrodes placed on the scalp of the user, EEG signals are amplified and ...
  • Type-2 Fuzzy Classification of Blood Pressure Parameters 
    Al-Jumaily Adel; Mahmood Usman; Al-Jaafreh Moha'Med (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    Blood pressure measurement is a highly sensitive task, because even breathing can cause variation as high as 10mmHg in reading of blood pressure. Due to the presence of high level of uncertainty; the linear model for ...