Browsing by Title

UTSePress Research/Manakin Repository

Search UTSePress Research

Browse

My Account

Browsing by Title

Sort by: Order: Results:

  • Zhang, Zhengzhi; Kodagoda, Sarath (Casual Productions, 2005)
    Human detection is an important research topic for many researchers who are working with surveillance, safe driving, military and security applications. It is now becoming more and more appropriate with the global increase ...
  • Gao, Xiaoshan; Chen, J; Tao, Dacheng; Li, X L (IEEE-Inst Electrical Electronics Engineers Inc, 2011)
    The work presented here solves the multi-sensor centralized fusion problem in the linear Gaussian model without the measurement noise variance. We generalize the variational Bayesian approximation based adaptive Kalman ...
  • Gao, Xiang; Huete, Alfredo; Didan, Kamel (IEEE, 2003)
    Vegetation indices (VIs) are one of the standard science products available from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the Earth Observing System (EOS) Terra platform, launched in December ...
  • Dorrell, David; Holik, Piotr; Lombard, Patrick; Thougaard, Hans-J??Rgen; Jensen, Finn (IEEE, 2009)
    This paper initially reviews some previous work with respect to the effect of interbar currents on the performance of a cage induction machine with a skewed rotor. A multisliced nonlinear 2-D finite-element model is then ...
  • Liu, Bo; Cao, Longbing; Yu, Philip; Zhang, Chengqi (IEEE, 2008)
    In SVMs-based multiple classification, it is not always possible to find an appropriate kernel function to map all the classes from different distribution functions into a feature space where they are linearly separable ...
  • Xiao, Yan Shan; Liu, Bo; Cao, Longbing; Wu, Xindong; Zhang, Chengqi; Hao, Zhifeng; Yang, Fengzhao; Cao, Jie (IEEE Computer Society Press, 2009)
    SVDD has been proved a powerful tool for outlier detection. However, in detecting outliers on multi-distribution data, namely there are distinctive distributions in the data, it is very challenging for SVDD to generate a ...
  • Mclachlan, Skye; Arblaster, Jaimal; Liu, Dikai; Valls Miro, Jaime; Chenoweth, Lynn (IEEE, 2005)
    This paper presents a multi-stage shared control method (MSSC) which can be used to control the movement of a robotic mobility assistant designed to facilitate safe mobilization for people with unstable gait. The multi-stage ...
  • Yeh, Wei-Chang (Elsevier Science Bv, 2004)
    Many real-world systems (such as electric power, transportation, etc.) are multistate systems composed of multistate components. Such systems may be regarded as flow networks whose arcs have independent, discrete, limited ...
  • Yeh, Wei-Chang (Elsevier Sci Ltd, 2002)
    Many real-world systems (such as cellular telephones, transportation, etc.) are multistate-node acyclic network (MNAN) composed of multistate-nodes. Such network has a source node (position) where the signal source is ...
  • Yeh, Wei-Chang (Elsevier Sci Ltd, 2003)
    A multistate-node acyclic network (NNAN) is a generalization of the tree-structured multistate-node system that does not satisfy the flow conservation law. The current known existing methods used to evaluate MNAN reliability ...
  • Guo, Zhenhai; Zhao, Weigang; Wang, Jian-Zhou; Lu, Hai Yan (Helen) (Elsevier, 2012)
    In this paper, a modified EMD-FNN model (empirical mode decomposition (EMD) based feed-forward neural network (FNN) ensemble learning paradigm) is proposed for wind speed forecasting. The nonlinear and non-stationary ...
  • Huang, Shoudong; Kwok, Ngai; Dissanayake, Gamini; Ha, Quang; Fang, Gu (The Institute of Electrical and Electronic Engineers Inc, 2005)
    In this paper, the possibility and necessity of multistep trajectory planning in Extended Kalman Filter (EKF) based SLAM is investigated. The objective of the trajectory planning here is to minimize the estimation error ...
  • Ding, Grace; Crews, Keith; Thomas, Doug (The University of New South Wales, 2012)
    There is a growing interest in the construction of medium rise residential timber buildings internationally. A number of developers in Australia are seeking to complete the first structural timber residential building over ...
  • Cao, Longbing (IEEE Computer Soc, 2007)
    Trading agents are very useful for developing and back-testing quality trading strategies to support smart trading actions in the market. However, the existing trading agent research mainly focuses on simple and simulated ...
  • Yaish, Haitham; Goyal, Madhu (IEEE, 2013)
    Multi-tenant database is a new cloud computing paradigm that has recently attracted attention to deliver database functionalities for multiple tenants to create, store, and access their databases over the internet. This ...
  • Li, Jing; Allinson, N; Tao, Dacheng; Li, Xuelong (IEEE-Inst Electrical Electronics Engineers Inc, 2006)
    Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of ...
  • Baur, Dirk; Fry, Renee (Elsevier BV, 2009)
    This paper proposes a multivariate test to measure the statistical and economic significance of contagion through analysis of extreme unobserved common shocks. Contagious episodes are endogenously determined with no need, ...
  • Jamdagni, Aruna; Nanda, Priyadarsi; Liu, Ren Ping; Tan, Thomas; He, Sean (Springer Verlag, 2011)
    The quality of feature has significant impact on the performance of detection techniques used for Denial-of-Service (DoS) attack. The features that fail to provide accurate characterization for network traffic records ...
  • Liu, Yumin; Xu, Jichao; Akpolat, Hasan (Korean Society for Quality Management, 2002)
    Multivariate Exponentially Weighted Moving Average (MEWMA) chart is a control chart under multivariate process based on the idea of EWMA that rapidly detects small dispersion with a trend. The MEWMA chart was first time ...
  • Silvennoinen, Annastiina; Terasvirta, Timo (Springer, 2009)
    This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonpararnetric and semi parametric models. Existing specification and ...