1,770 research outputs found

    Maximising Technology Efficiencies for SMEs Using Computer Intelligence

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    This paper is part of a series which present elements of our research into technology adoption and usability problems faced by small businesses (SME’s) in Australia. We discuss our approach to research in the small business area, the importance of aggregating small businesses into vertical technology sectors and the usability improvements which can be expected from this collaborative approach. In this paper we focus on information retrieval requirements and the related usability problems which confront small businesses. We discuss adoption and usability issues, requirements and risks using a business case study, then introduce experiments which it is hoped will deliver efficiency improvements to information retrieval applications for small businesses

    CBSE: an implementation case study

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    Over the last couple of years, the shift towards component based software engineering (CBSE) methods has become a cost effective way to get an application to implementation stage much earKer. Adoption of Component Based Development methods acknowledges the use of third party components wherever possible to reduce the cost of software development, shorten the development phase and provide a richer set of processing options for the end user. The use of these tools is particularly relevant in Web based applications, where commercial off the shelf (COTS) products are so prevalent. However, there are a number of risks associated with the use of component based development methods. This thesis investigates these risks within the context of a software engineering project and attempts to provide a means to minimise and or at least manage the risk potential when using component based development method

    ACADEMIC SUPPORT FOR FIRST-YEAR SOCIAL WORK STUDENTS IN SOUTH AFRICA

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    Students in their first year face the great challenge of transition from school to university,where independent and self-directed learning is called for. Students must navigate multifacetedlife adaptations – physical ones such as moving away from home, and psychological ones suchas moving into young adulthood, from the familiarity of the homogeneous school environmentto the heterogeneous culture of the university, often from rural to urban, to a different language,to mixing with diverse race groups. Moving from the control, protection and predictability ofschool life, learners are free for the first time to test their autonomy and experiment withchoices. Equally, the challenge of providing the best teaching and learning to this group restswith the educators in first year

    Academic support for first-year social work students in South Africa

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    This article sets out the context for first-year social work students in South Africa, explaining particular needs of the typical student and the facilities available for support. The expectation of deep learning required of university students raises many questions and a proposal for a research project is suggested on teaching and learning in social work, to be carried out collaboratively by South African universities. A literature survey, with extrapolation and application of relevant principles to serve as foundation for the project, is presented

    Singular terms of helicity amplitudes at one-loop in QCD and the soft limit of the cross sections of multi-parton processes

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    We describe a general method that enables us to obtain all the singular terms of helicity amplitudes of n-parton processes at one loop. The algorithm uses helicity amplitudes at tree level and simple color algebra. We illustrate the method by calculating the singular part of the one loop helicity amplitudes of all 2→3 2\to 3 parton subprocesses. The results are used to derive the soft gluon limit of the cross sections of all 2→42\to 4 parton scattering subprocesses which provide a useful initial condition for the angular ordering approximation to coherent multiple soft gluon emission, incorporated in existing Monte Carlo simulation programs.Comment: Latex,13 pages, ETH-TH/94-

    Designing a regional e-logistics portal

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    A variety of optimization and negotiation technologies hold the promise of delivering value to the logistics processes of businesses both small and large, yet they tend to remain inaccessible to SMEs (largely due to price and complexity concerns). This paper describes the early-phase steps in a project to develop a regional e- logistics portal. The project seeks to make constraint-based optimization and automated negotiation technologies accessible to SMEs within a portal that also serves their information needs. The paper highlights several novel aspects of the design of the portal, as well as a novel requirements gathering process involving community consultation

    Significantly reducing the processing times of high-speed photometry data sets using a distributed computing model

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    The scientific community is in the midst of a data analysis crisis. The increasing capacity of scientific CCD instrumentation and their falling costs is contributing to an explosive generation of raw photometric data. This data must go through a process of cleaning and reduction before it can be used for high precision photometric analysis. Many existing data processing pipelines either assume a relatively small dataset or are batch processed by a High Performance Computing centre. A radical overhaul of these processing pipelines is required to allow reduction and cleaning rates to process terabyte sized datasets at near capture rates using an elastic processing architecture. The ability to access computing resources and to allow them to grow and shrink as demand fluctuates is essential, as is exploiting the parallel nature of the datasets. A distributed data processing pipeline is required. It should incorporate lossless data compression, allow for data segmentation and support processing of data segments in parallel. Academic institutes can collaborate and provide an elastic computing model without the requirement for large centralized high performance computing data centers. This paper demonstrates how a base 10 order of magnitude improvement in overall processing time has been achieved using the ACN pipeline , a distributed pipeline spanning multiple academic institutes

    Use of sediment source fingerprinting to assess the role of subsurface erosion in the supply of fine sediment in a degraded catchment in the Eastern Cape, South Africa

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    Sediment source fingerprinting has been successfully deployed to provide information on the surface and subsurface sources of sediment in many catchments around the world. However, there is still scope to reexamine some of the major assumptions of the technique with reference to the number of fingerprint properties used in the model, the number of model iterations and the potential uncertainties of using more than one sediment core collected from the same floodplain sink. We investigated the role of subsurface erosion in the supply of fine sediment to two sediment cores collected from a floodplain in a small degraded catchment in the Eastern Cape, South Africa. The results showed that increasing the number of individual fingerprint properties in the composite signature did not improve the model goodness-of-fit. This is still a much debated issue in sediment source fingerprinting. To test the goodness-of-fit further, the number of model repeat iterations was increased from 5000 to 30,000. However, this did not reduce uncertainty ranges in modelled source proportions nor improve the model goodness-of-fit. The estimated sediment source contributions were not consistent with the available published data on erosion processes in the study catchment. The temporal pattern of sediment source contributions predicted for the two sediment cores was very different despite the cores being collected in close proximity from the same floodplain. This highlights some of the potential limitations associated with using floodplain cores to reconstruct catchment erosion processes and associated sediment source contributions. For the source tracing approach in general, the findings here suggest the need for further investigations into uncertainties related to the number of fingerprint properties included in un-mixing models. The findings support the current widespread use of <5000 model repeat iterations for estimating the key sources of sediment samples
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