Cardiff School of Technologies: Recent submissions

Now showing items 1-20 of 104

    • Quality of Experience and Quality of Service Metrics for 3D Content 

      Barreda-Ángeles, Miguel; Battisti, Federica; Boato, Giulia; Carli, Marco; Dumic, Emil; Gelautz, Margrit; Hewage, Chaminda; Kukolj, Dragan; Le-Callet, Patrick; Liotta, Antonio; Pasquini, Cecilia; Pereda-Baños, Alexandre; Politis, Christos; Sandic, Dragana; Tekalp, Murat; Torres-Vega, María; Zlokolica, Vladimir (Springer, 2019)
      Traditionally, the quality of a multimedia system was mainly assessed through the evaluation of its Quality of Service (QoS) that is by evaluating system parameters such as bandwidth, latency, jitter, throughput, transmission ...

    • A Multi-factor Authentication Method for Security of Online Examinations 

      Ullah, Abrar; Xiao, Hannan; Barker, Trevor (Springer, 2018-12-30)
      Security of online examinations is the key to success of remote online learning. However, it faces many conventional and non-conventional security threats. Impersonation and abetting are rising non-conventional security ...

    • Thy word is a lamp unto my feet: A study via metaphoric perceptions on how online feedback benefited Chinese learners 

      Lin Ding, Seong; Chew, Esyin (Springer, 2019-02-07)
      Theoretical claims about the benefits of online feedback suggest it can facilitate language learning. However, despite the calls for new digital literacies on language education, attitudes of educators have not been ...

    • A study into the usability and security implications of text and image based challenge questions in the context of online examination 

      Ullah, Abrar; Xiao, Hannan; Barker, Trevor (Springer, 2018-06-19)
      Online examinations are an integral component of online learning environments and research studies have identified academic dishonesty as a critical threat to the credibility of such examinations. Academic dishonesty exists ...

    • Decoding Complexity-Aware, Rate, Distortion Optimized HEVC Video Encoding 

      Mallikarachchi, Thanuja; Talagala, Dumidu; Kodikara Arachchi, Hemantha; Fernando, Anil (Institute of Electrical and Electronics Engineers (IEEE), 2018-01-12)
      Video content adaptation has become a popular application layer approach to reduce the decoding complexity and the associated energy consumption of video playback. In this context, this paper proposes an encoding algorithm ...

    • Decoding-Complexity-Aware HEVC Encoding Using a Complexity-Rate-Distortion Model 

      Mallikarachchi, Thanuja; Talagala, Dumidu; Kodikara Arachchi, Hemantha; Fernando, Anil (Institute of Electrical and Electronics Engineers (IEEE), 2018-03-02)
      The energy consumption of consumer electronic (CE) devices during media playback is inexorably linked to the computational complexity of decoding compressed video. Reducing a CE device's the energy consumption is therefore ...

    • A Feature Based Complexity Model for Decoder Complexity Optimized HEVC Video Encoding 

      Mallikarachchi, Thanuja; Talagala, Dumidu; Kodikara Arachchi, Hemantha; Fernando, Anil (Institute of Electrical and Electronics Engineers (IEEE), 2017-01-08)
      The complexity of the novel video compression algorithms is a major contributor for the increased demand of processing and energy resources for video playback in consumer electronic devices. Therefore, a decoder complexity ...

    • Decoder energy-aware intra-coded HEVC bit stream generation 

      Mallikarachchi, Thanuja; Talagala, Dumidu; Kodikara Arachchi, Hemantha; Fernando, Anil (Institute of Electrical and Electronics Engineers (IEEE), 2016-07-11)
      The rising demand for media consumption via mobile devices and the emergence of complex video coding algorithms present an additional challenge for the energy management algorithms in resource-constrained consumer electronic ...

    • Piloting e-Assessment of Diagrammatic Coursework, CIF 2008/09 Project Completion Report 

      Jayal, Ambikesh; Shepperd, Martin (2010-04-14)
      This project deals with improving undergraduate assessment by using automated marking fordiagrammatic coursework. Automated marking of diagrammatic coursework (e-Assessment),offers many potential benefits including timely ...

    • An adaptive video streaming framework for Scalable HEVC (SHVC) standard 

      Rakngan, S.; Mallikarachchi, Thanuja; Fernando, A. (IEEE, 2019-03-07)
      This paper presents an implementation of a Media Aware Network Element (MANE) for dynamic video content adaptation in Scalable HEVC (SHVC) video streaming. The experimental results discuss the varying ...

    • Content Adaptive Fast CU Size Selection for HEVC Intra-Prediction 

      Erabadda, B.; Mallikarachchi, Thanuja; Kulupana, G.; Fernando, A. (IEEE, 2019-03-07)
      This paper proposes a content adaptive fast CU size selection algorithm for HEVC intra-prediction using weighted support vector machines. The proposed algorithm demonstrates an average encoding time reduction of 52.38% ...

    • Experiences of Introducing Group Projects to Computing Degrees 

      Shepperd, Martin; Jayal, Ambikesh (IUT, 2010-06-30)
      As a result of restructuring our computing undergraduate programmes, we introduced group projects as an integrating central spine for Levels 1 and 2. The task includes requirements discovery, software development, team ...

    • An Evaluation of E-Learning Standards 

      Jayal, Ambikesh; Shepperd, Martin (Computer Society of India, 2007-12-28)
      The aim of this investigation is to perform an independent study of the various emerging elearning standards. This paper presents a summary of these standards in order to make them more accessible and understandable, and ...

    • Premark: A System Designed To Organising Course Work For Assessment 

      Jayal, Ambikesh; Cartwright, Michelle; Shepperd, Martin (Computer Society of India, 2007-12-28)
      Unfortunately a side effect of the introduction of some e-learning systems into HEIs has been the loss of flexibility and the imposition of new processes that can result in additional clerical and ...

    • The problem of labels in e-assessment of diagrams 

      Jayal, Ambikesh; Shepperd, Martin (Association for Computing Machinery (ACM), 2009-01)
      In this article we explore a problematic aspect of automated assessment of diagrams. Diagrams have partial and sometimes inconsistent semantics. Typically much of the meaning of a diagram resides in the labels; however, ...

    • An Improved Method for Label Matching in E-Assessment of Diagrams 

      Jayal, Ambikesh; Shepperd, Martin (Taylor and Francis, 2009-02)
      A challenging problem for e-assessment is automatic marking of diagrams. There are a number of difficulties not least that much of the meaning of a diagram resides in the labels and hence label matching is an important ...

    • Python for Teaching Introductory Programming: A Quantitative Evaluation 

      Jayal, Ambikesh; Lauria, Stasha; Tucker, Allan; Swift, Stephen (Taylor and Francis, 2011-02)
      This paper compares two different approaches of teaching introductory programming by quantitatively analysing the student assessments in a real classroom. The first approach is to emphasise the principles of object-oriented ...

    • Genomics in Sports 

      Jayal, Ambikesh; McRobert, Allistair; Oatley, Giles; O’Donoghue, Peter (Routledge, 2018)
      Some of the most challenging data analyses involve DNA, often within medical fields. There are areas of sports science such as talent identification and development planning in which such data analyses may be valuable. ...

    • Aligned Genomic DNA of Pseudomonas Aeruginosa_ATCC_9027: skin pathogen 

      Jayal, Ambikesh (2017-10-13)
      In our study, genomic DNA derived from a biofilm of P. aeruginosa ATCC 9027 was isolated and purified using the GenEluteTM Bacterial Genomic DNA Extraction Kit (Sigma Aldrich). The sample library was prepared using Illumina ...

    • Trimmed Genomic DNA of Pseudomonas Aeruginosa_ATCC_9027: skin pathogen 

      Jayal, Ambikesh (2017-10-04)
      In our study, genomic DNA derived from a biofilm of P. aeruginosa ATCC 9027 was isolated and purified using the GenEluteTM Bacterial Genomic DNA Extraction Kit (Sigma Aldrich). The sample library was prepared using Illumina ...