ORCID Profile
0000-0002-9176-0309
Current Organisation
University of Adelaide
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Publisher: IEEE
Date: 07-2013
Publisher: IEEE
Date: 07-2013
Publisher: IEEE
Date: 12-2017
Publisher: Global Vision Press
Date: 30-06-2015
Publisher: Global Vision Press
Date: 31-05-2015
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 12-2017
Publisher: Springer International Publishing
Date: 2015
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/871516
Abstract: The availability of heterogeneous devices has rapidly changed the way people access the World Wide Web that includes rich content applications such as video streaming, 3D games, video conferencing, and mobile TV. However, most of these devices' (i.e., mobile phone, PDA, smartphone, and tablet) capabilities differ in terms of built-in software and library (what they can display), display size (how the content appears), and battery supply (how long the content can be displayed). In order for the digital contents to fit the target device, content adaptation is required. There have been many projects focused on energy-aware-based content adaptation that have been designed with different goals and approaches. This paper reviews some of the representative content adaptation solutions that have been proposed during the last few years, in relation to energy consumption focusing on wireless multimedia streaming in mobile devices. Also, this paper categorizes the research work according to different classifications of multimedia content adaptation requirements. In addition, we discuss some energy-related challenges content adaptation systems.
Publisher: Springer International Publishing
Date: 02-11-2014
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: WIT Press
Date: 14-06-2007
DOI: 10.2495/DATA070191
Publisher: IEEE
Date: 06-2014
Publisher: Springer Singapore
Date: 15-12-2014
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: ACM
Date: 14-12-2009
Publisher: IEEE
Date: 12-2017
Publisher: Springer International Publishing
Date: 02-11-2015
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Trans Tech Publications, Ltd.
Date: 03-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.159.35
Abstract: This paper presents the development of a new polymer-ceramic composite material for use in injection molding machine. The material consists of palm oil fly ash (POFA) in a high density polyethylene (HDPE) powder. In this study, the effect of POFA was investigated as a filler material in polymer-ceramic matrix composite and HDPE was chosen as a matrix material. The detailed formulations of mixing ratio with various combinations of the new polymer-ceramic composite are investigated experimentally. Based on the result obtained, it was found that, the weight percentage increment of POFA filler affected the flexural and hardness strength. This work represents a major development in recycling of waste material from palm oil empty fruit bunch out of the refinery to produce polymer/ceramic matrix composite.
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 2009
Publisher: IEEE
Date: 04-2015
Publisher: IEEE
Date: 04-2015
Publisher: IEEE
Date: 2009
DOI: 10.1109/AMS.2009.138
Publisher: IEEE
Date: 09-2011
Publisher: IEEE
Date: 03-2015
Publisher: Springer International Publishing
Date: 29-12-2015
Publisher: IEEE
Date: 12-2014
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Global Vision Press
Date: 31-10-2015
Publisher: IEEE
Date: 04-2015
Publisher: IOP Publishing
Date: 08-2017
Publisher: IEEE
Date: 05-2008
Publisher: IEEE
Date: 10-2016
Publisher: Elsevier BV
Date: 03-2020
Publisher: IEEE
Date: 11-2017
Publisher: ACM
Date: 17-01-2013
Publisher: IEEE
Date: 11-2014
Publisher: EDP Sciences
Date: 2018
DOI: 10.1051/MATECCONF/201815006003
Abstract: This paper investigates the existing practices and prospects of medical data classification based on data mining techniques. It highlights major advanced classification approaches used to enhance classification accuracy. Past research has provided literature on medical data classification using data mining techniques. From extensive literature analysis, it is found that data mining techniques are very effective for the task of classification. This paper analysed comparatively the current advancement in the classification of medical data. The findings of the study showed that the existing classification of medical data can be improved further. Nonetheless, there should be more research to ascertain and lessen the ambiguities for classification to gain better precision.
Publisher: IEEE
Date: 12-2010
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Springer International Publishing
Date: 29-12-2016
Publisher: Indian Society for Education and Environment
Date: 22-12-2016
Publisher: IOP Publishing
Date: 06-2018
Publisher: IEEE
Date: 06-2012
Publisher: ACM
Date: 28-11-2016
Publisher: IEEE
Date: 02-2015
DOI: 10.1109/ISMS.2015.56
Publisher: Springer Singapore
Date: 15-12-2014
Publisher: Springer International Publishing
Date: 2014
Publisher: IEEE
Date: 06-2012
Publisher: Springer International Publishing
Date: 02-11-2014
No related grants have been discovered for rosziati ibrahim.