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  Quality Queue Management for Future Wireless Networks 

  PIBIRI, GIANLUIGI (Trinity College Dublin, Trinity College Dublin. School of Computer Science & Statistics. Computer Science, 2017)

  Wireless networking protocols and mobile devices are key contributors to the ever-growing demand for realtime services. These large throughput services are often prioritised and managed using specialised traffic policies. ...
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  Hop.Skip.Jump.Games. The design, development, deployment and evaluation of video games to support locomotor acquisition in a classroom setting 

  MC GANN, JAMIE (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2017)

  Sedentary video gameplay is typically described as a contributing factor to poor locomotor skills (hop, skip and jump etc.) observed in the modern day child. Further, poor locomotor skills are a significant predictor of ...
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  Evaluating the perception of virtual characters by manipulating components of their physical appearance 

  ZIBREK, KATJA (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, School of Computer Science, 2017)

  This work explores the possibilities of studying the perception of 3D generated (virtual) based on the knowledge of perceptual organisation and methods used to study human behaviour. Our main intention is to present studies ...
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  Data layout oriented compilation techniques in vectorization for multi-/many-cores 

  Xu, Shixiong (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2017)

  Single instruction, multiple data (SIMD) architectures are widely adopted in both general-purpose processors and graphic processing units for exploiting data-level parallelism. It is tedious and error-prone for programmers ...
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  The SPARQL usage for mapping maintenance and reuse methodology 

  MEEHAN, ALAN (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2017)

  This thesis presents the SPARQL Usage for Mapping Maintenance and Reuse (SUMMR) methodology, which is for the support of performing maintenance and reuse of Linked Data mappings. The providers of Linked Data datasets have ...

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