Type

Now showing items 1-11 of 11

    • Alpha-cluster structure in the ground state of 40Ca displayed in a (p,pa) knockout reaction 

      Cowley, A. A. (IOP Publishing, 2013)
      The analyzing power is very sensitive to details of the reaction mechanism of (p, pα) knockout reactions in the incident energy range of approximately 100 MeV and higher. Whereas distorted wave impulse approximation ...

    • Comment classification for an online news domain 

      Brand, Dirk; Van der Merwe, Brink (2014-12)
      ENGLISH ABSTRACT: In online discussion forums, comment moderation systems are often faced with the problem of establishing the value of an unseen online comment. By knowing the value of comments, the system is empowered ...

    • Distorted-wave Born approximation study of the 11Li(p,t) 9Li reaction 

      Cowley, A. A. (IOP Publishing, 2016)
      The reaction 11Li(p,t) 9Li(gs) at an incident energy of 4 MeV is treated in terms of a simplistic distorted-wave Born approximation transfer. The halo neutrons involved in the reaction are treated as a di-neutron cluster ...

    • DSaaS : a cloud service for persistent data structures 

      Le Roux, Pierre Bernard; Kroon, Steve; Bester, Willem (Institute for Systems and Technologies of Information, 2016-04)
      In an attempt to tackle shortcomings of current approaches to collaborating on the development of structured data sets, we present a prototype platform that allows users to share and collaborate on the development of ...

    • Firegaze : processing and visualizing firewall logs in the cloud 

      Van Tonder, R.; Visser, W. (SATNAC, 2013)
      This project aims to visualise packet counts filtered by iptables at the network layer, and allows for performing network forensics in a distributed environment. For example, anomalies such as bandwidth spikes and port ...

    • Flow allocation in wireless networks with selfish nodes 

      Krzesinski, A. E. (SATNAC, 2013)
      Consider an ad hoc network where packet transmissions occur between the nodes. Optimal flow allocation in such systems can be modelled as a constrained nonlinear optimisation problem. This problem can be solved either ...

    • From chi^2 to Bayesian model comparison : the example of Levy-based fits to e+e- correlations 

      De Kock, Michiel B.; Eggers, Hans C.; Csorgo, Tamas (Proceedings of Science, 2012)
      The usual χ2 method of fit quality assessment is a special case of the more general method of Bayesian model comparison which involves integrals of the likelihood and prior over all possible values of all parameters. We ...

    • Model checking rational agents 

      Bordini, Rafael H.; Fisher, Michael; Wooldridge, Michael; Visser, Willem (IEEE - -Institute of Electrical and Electronics Engineers, 2004-10)
      Agent-oriented programming techniques seem appropriate for developing systems that operate in complex, dynamic, and unpredictable environments. We aim to address this requirement by developing model-checking techniques for ...

    • Some important developments in biomining during the past thirty years 

      Rawlings, Douglas E (Central South University Press, Lushan South Road 932, 410083 Changsha, Hunan Province, PR China, 2011-09)
      A selection of significant discoveries in the general field of biomining over the past thirty years with which the author has been directly or indirectly involved will be reviewed. Early steps in the development of the ...

    • Spectroscopy of low lying states in 136Cs 

      Rebeiro, B.; Triambak, S.; Lindsay, R.; Adsley, P.; Burbadge, C.; Ball, G.; Bildstein, V.; Faestermann, T.; Garrett, P. E.; Hertenberger, R.; Radich, A.; Rand, E.; Varela, A.; Wirth, H.-F. (IOP Publishing, 2016)
      The low-lying excited states in 136Cs relevant to the double beta decay of 136Xe were studied via a 138Ba(d, α)136Cs transfer reaction with a high resolution magnetic spectrometer. Preliminary results from the experiment ...

    • Unsupervised pre-training for fully convolutional neural networks 

      Wiehman, Stiaan; Kroon, Steve; De Villiers, Hendrik (Institute of Electrical and Electronics Engineers, 2016)
      Unsupervised pre-training of neural networks has been shown to act as a regularization technique, improving performance and reducing model variance. Recently, fully con-volutional networks (FCNs) have shown state-of-the-art ...