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Browsing Modelling and digital science by Title

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  • Van der Walt, CM; Barnard, E (PRASA 2013 Proceedings, 2013-12)
    We investigate the performance of conventional bandwidth estimators for non-parametric kernel density estimation on a number of representative pattern-recognition tasks, to gain a better understanding of the behaviour of ...
  • Willers, MS; Willers, Cornelius J (Society of Photo‑Optical Instrumentation Engineers (SPIE), 2012-09)
    This paper briefly analyses the broader framework of requirements for an imaging simulation system, in the 0.4 to 14 µm spectral bands. An existing imaging simulation system, OSSIM, is used to evaluate the identified key ...
  • Louw, J; Niezen, G; Ramotsoela, TD; Abu-Mahfouz, Adnan MI (IEEE, 2016-12)
    Wireless sensor networks (WSNs) have become increasingly popular in many applications across a broad range of fields. Securing WSNs poses unique challenges mainly due to their resource constraints. Traditional public key ...
  • Tlale, NS; De Villiers, M (2008-12)
    Omni-directional mobile platforms have the ability to move instantaneously in any direction from any configuration. As such, it is important to have a mathematical model of the platform, especially if the platform is to ...
  • Dube, C; Tapson, J (Robotics and Mechatronics Symposium, 2009-11)
    This paper focuses firstly, on the kinematics structure required for a humanoid service robot arm and secondly, on transferring human motion obtained from visual motion capture to the humanoid arm. The kinematics structure ...
  • Makondo, N; Rosman, Benjamin S; Hasegawa, O (2015-11)
    Learning of robot kinematic and dynamic models from data has attracted much interest recently as an alternative to manually defined models. However, the amount of data required to learn these models becomes large when the ...
  • Tekane, YC; Twala, B; Marwala, T (2015-01)
    We consider the problem of mapping with Miniature Aerial Vehicles (MAVs) in outdoor sites with distinguishable landscapes. The primary long range sensor in these MAVs is a miniature camera. While previous approaches first ...
  • Loveday, Philip W; Long, Craig S (Elsevier, 2014-11)
    The ability to measure the individual modes of propagation is very beneficial during the development of guided wave ultrasound based rail monitoring systems. Scanning laser vibrometers can measure the displacement at a ...
  • Burke, Michael G (PRASA 2010, 2010-11)
    The reliable detection and tracking of general objects is required by many field robotics applications, where autonomous agents need to navigate between and interact with dynamic targets in unstructured environments. This ...
  • Makinana, S; Khanyile, PN; Khutlang, Rethabile (IEEE Xplore, 2016-09)
    In crime investigation, fingerprint identification plays a major role in identifying culprits. However, traditional procedure of acquiring latent fingerprint tends to be destructive and leads to a limitation of not being ...
  • Duvenhage, A; Kourie, DG; Hancke, GP (2009-09)
    Modelling and simulation can be applied to support Joint Command and Control (JC2) which involves the interoperability of network-centric systems as well as legacy command and control systems. It is assumed that software ...
  • Adedeji, K; Hamam, Y; Abe, B; Abu-Mahfouz, Adnan MI (2017-06)
    Water loss through leaking pipes is inexorable in water distribution networks (WDNs) and has been recognized as a major challenge facing the operation of municipal water services. This is strongly linked with financial ...
  • Rosman, Benjamin S (University of Edinburgh, 2014-06)
    Recent trends in robotics have seen more general purpose robots being deployed in unstructured environments for prolonged periods of time. Such robots are expected to adapt to different environmental conditions, and ...
  • Barnard, E; Van der Walt, Christiaan M; Davel, M; Van Heerden, C; Senekal, FP; Naidoo, T (PRASA, 2009-11)
    Bayesian networks have shown themselves to be useful tools for the analysis and modelling of large data sets. However, their complete generality leads to computational and modelling complexities that have limited their ...
  • Ajoodha, R; Rosman, Benjamin S (AAAI, 2018-02)
    The recent widespread of availability of sensors, as part of the IoT, presents the opportunity to learn the properties of compound distributions in practical applications. Understanding temporal distributions by observations ...
  • Dlodlo, N (2011-04)
    Cloud computing is a sufficiently new research area. Since it is in its development stages, the information on the field is slowly being compiled by the researchers and practitioners from their experiences. Some of the ...
  • Hugo, S; Naidoo, T; Swart, H; Potgieter, S; Van Rooyen, P; Land, K (Southern African Institute for Electrical Engineers, 2012-03)
    Optical microscopy is widely accepted as one of the gold standards in disease diagnosis. However, factors such as cost and the need for a trained eye limit the prevalence of such equipment, particularly in resource-limited ...
  • Burke, Michael G (ACM Digital Library, 2017-10)
    Machine learning models trained using images can be used to generate image overlays by investigating which image areas contribute the most towards model outputs. A common approach used to accomplish this relies on blanking ...
  • Grobler, MM (University of Johannesburg, 2009-10)
    The candidate's research investigated the development of a model for Live Forensic Acquisition - Liforac. The Liforac model is a wide-ranging model that presents many of the most important aspects related to Live Forensic ...
  • Masonta, Moshe T; Oyedapo, J; Girod-Genet, M (Lambert Academic Publishing, 2010-11)
    In recent years Internet usage and services, accessed through both fixed and mobile networks, have experienced rapid growth. This growth was driven by the capability of the Internet to provide many new services seamlessly ...

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