ORCID Profile
0000-0002-5788-0446
Current Organisations
The University of Canberra
,
University of Canberra Faculty of Education Science Technology and Mathematics
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Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11554028_3
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 12-2020
Publisher: IEEE
Date: 2009
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 2003
Publisher: Springer Science and Business Media LLC
Date: 19-03-2014
Publisher: Springer International Publishing
Date: 2019
Publisher: IEEE
Date: 08-2011
Publisher: IEEE
Date: 18-12-2022
Publisher: IEEE
Date: 04-2015
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 2005
Publisher: Springer International Publishing
Date: 2017
Publisher: Future Medicine Ltd
Date: 05-2013
DOI: 10.2217/PMT.13.11
Abstract: SUMMARY Current clinical practice guidelines advocate a model of diagnostic triage for back pain, underpinned by the biopsychosocial paradigm. However, limitations of this clinical model have become apparent: it can be difficult to classify patients into the diagnostic triage categories patients with ‘nonspecific back pain‘ are clearly not a homogenous group and mean effects of treatments based on this approach are small. In this article, it is proposed that the biological domain of the biopsychosocial model needs to be reconceptualized using a neurobiological mechanism-based approach. Recent evidence about nociceptive and neuropathic contributors to back pain is outlined in the context of maladaptive neuroplastic changes of the somatosensory system. Implications for clinical practice and research are discussed.
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 29-04-2014
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer International Publishing
Date: 2015
Publisher: IEEE
Date: 11-2007
DOI: 10.1109/GRC.2007.124
Publisher: IEEE
Date: 11-2007
DOI: 10.1109/GRC.2007.123
Publisher: Informa UK Limited
Date: 2007
Publisher: AICIT
Date: 31-03-2012
Publisher: IEEE
Date: 1999
Publisher: IEEE
Date: 2001
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/NSS.2010.86
Publisher: IEEE
Date: 12-2008
Publisher: Springer International Publishing
Date: 28-04-2020
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 12-2020
Publisher: Australian Journal of Information Systems
Date: 08-11-2017
Abstract: In the biomedical and healthcare fields, the ownership protection of the outsourced data is becoming a challenging issue in sharing the data between data owners and data mining experts to extract hidden knowledge and patterns. Watermarking has been proved as a right-protection mechanism that provides detectable evidence for the legal ownership of a shared dataset, without compromising its usability under a wide range of data mining for digital data in different formats such as audio, video, image, relational database, text and software. Time series biomedical data such as Electroencephalography (EEG) or Electrocardiography (ECG) is valuable and costly in healthcare, which need to have owner protection when sharing or transmission in data mining application. However, this issue related to kind of data has only been investigated in little previous research as its characteristics and requirements. This paper proposes an optimized watermarking scheme to protect ownership for biomedical and healthcare systems in data mining. To achieve the highest possible robustness without losing watermark transparency, Particle Swarm Optimization (PSO) technique is used to optimize quantization steps to find a suitable one. Experimental results on EEG data show that the proposed scheme provides good imperceptibility and more robust against various signal processing techniques and common attacks such as noise addition, low-pass filtering, and re-s ling.
Publisher: InTech
Date: 10-2009
DOI: 10.5772/7529
Publisher: IEEE
Date: 2010
DOI: 10.1109/WKDD.2010.80
Publisher: IEEE
Date: 2009
Publisher: Springer International Publishing
Date: 2015
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 2005
Publisher: Oxford University Press (OUP)
Date: 09-09-2020
Abstract: Electroencephalogram (EEG) plays an essential role in analysing and recognizing brain-related diseases. EEG has been increasingly used as a new type of biometrics in person identification and verification systems. These EEG-based systems are important components in applications for both police and civilian works, and both areas process a huge amount of EEG data. Storing and transmitting these huge amounts of data are significant challenges for data compression techniques. Lossy compression is used for EEG data as it provides a higher compression ratio (CR) than lossless compression techniques. However, lossy compression can negatively influence the performance of EEG-based person identification and verification systems via the loss of information in the reconstructed data. To address this, we propose introducing performance measures as additional features in evaluating lossy compression techniques for EEG data. Our research explores if a common value of CR exists for different systems using datasets with lossy compression that could provide almost the same system performance with those using datasets without lossy compression. We performed experiments on EEG-based person identification and verification systems using two large EEG datasets, CHB MIT Scalp and Alcoholism, to investigate the relationship between standard lossy compression measures and our proposed system performance measures with the two lossy compression techniques, discrete wavelet transform—adaptive arithmetic coding and discrete wavelet transform—set partitioning in hierarchical trees. Our experimental results showed a common value of CR exists for different systems, specifically, 70 for person identification systems and 50 for person verification systems.
Publisher: IEEE
Date: 08-2010
Publisher: Springer Berlin Heidelberg
Date: 2004
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 07-2011
Publisher: Zenodo
Date: 2010
Publisher: ACM
Date: 21-08-2021
Publisher: Springer Berlin Heidelberg
Date: 2004
Publisher: IEEE
Date: 2004
Publisher: River Publishers
Date: 2017
Publisher: Elsevier BV
Date: 2018
Publisher: IEEE
Date: 2010
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer International Publishing
Date: 2015
Publisher: IEEE
Date: 06-2008
Publisher: Informa UK Limited
Date: 04-11-2020
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: Elsevier BV
Date: 2017
Publisher: IEEE
Date: 07-2016
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Fuji Technology Press Ltd.
Date: 20-07-2007
DOI: 10.20965/JACIII.2007.P0662
Abstract: This paper presents a mathematical framework for fuzzy discrete and continuous observable Markov models (OMMs) and their applications to written language, spam email and typist recognition. Experimental results show that the proposed OMMs are more effective than models such as vector quantization, Gaussian mixture model and hidden Markov model.
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11552413_33
Publisher: IEEE
Date: 08-2012
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 10-2012
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 12-2020
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: IEEE
Date: 2000
Publisher: Academy and Industry Research Collaboration Center (AIRCC)
Date: 30-04-2015
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: IEEE
Date: 12-2019
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Springer International Publishing
Date: 2017
Publisher: Elsevier BV
Date: 2019
Publisher: Elsevier BV
Date: 2019
Publisher: IEEE
Date: 08-2018
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/NSS.2010.19
Publisher: IEEE
Date: 04-2011
Publisher: Springer International Publishing
Date: 07-06-2019
Publisher: World Scientific Pub Co Pte Lt
Date: 11-2002
DOI: 10.1142/S0218001402002064
Abstract: This paper proposes a fuzzy approach to speaker verification. For an input utterance and a claimed identity, most of the current methods compute a claimed speaker's score, which is the ratio of the claimed speaker's and the impostors' likelihood functions, and compare this score with a given threshold to accept or reject this speaker. Considering the speaker verification problem based on fuzzy set theory, the claimed speaker's score is viewed as the fuzzy membership function of the input utterance in the claimed speaker's fuzzy set of utterances. Fuzzy entropy and fuzzy c-means membership functions are proposed as fuzzy membership scores, which are the ratios of functions of the claimed speaker's and impostors' likelihood functions. A likelihood transformation is also considered to relate current likelihood and fuzzy membership scores. We also proposed fuzzy scores using membership functions similar to those produced by noise-clustering-based method. This noise clustering concept provides very effective modifications to several methods, which can overcome some of the problems of ratio-type scores and greatly reduce the false acceptance rate. Experiments were performed to evaluate proposed normalization methods for speaker verification using the YOHO corpus. Experiments demonstrate that fuzzy methods and their noise clustering versions outperform conventional methods.
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 03-2019
Publisher: IEEE
Date: 2006
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11893011_150
Publisher: Springer Berlin Heidelberg
Date: 2004
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 2018
Publisher: Springer International Publishing
Date: 2015
Publisher: IEEE
Date: 12-2020
Publisher: IEEE
Date: 05-2017
Publisher: Springer Berlin Heidelberg
Date: 2002
Publisher: Springer Berlin Heidelberg
Date: 2002
Publisher: IEEE
Date: 07-2016
Publisher: Springer New York
Date: 2009
Publisher: IEEE
Date: 05-2017
Publisher: Springer International Publishing
Date: 2019
Publisher: Springer International Publishing
Date: 2014
Publisher: Informa UK Limited
Date: 21-03-2014
DOI: 10.1080/14786419.2014.891111
Abstract: Orientin and vitexin are the two main bioactive compounds in Trollius chinensis Bunge. In this study, a rapid method was established for the isolation and purification of orientin and vitexin from T. chinensis Bunge using high-speed counter-current chromatography in one step, with a solvent system of ethyl acetate-ethanol-water (4:1:5, v/v/v). A total of 9.8 mg orientin and 2.1 mg vitexin were obtained from 100 mg of the ethyl acetate extract, with purities of 99.2% and 96.0%, respectively. Their structures were identified by UV, MS and NMR. The method was efficient and convenient, which could be used for the preparative separation of orientin and vitexin from T. chinensis Bunge.
Publisher: Oxford University Press (OUP)
Date: 09-08-2017
Publisher: Elsevier BV
Date: 11-1999
Publisher: IEEE
Date: 10-2007
Publisher: Trans Tech Publications, Ltd.
Date: 10-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.448-453.1437
Abstract: There have been recent research interests in obtaining an optimum efficient design for the solar tracking system in published papers over the past three decades. This paper presents an in-depth overview of the assessment parameters and characteristics of various sensor devices employed to provide precise feedback control mechanism used in dynamic solar tracking systems. We found that the webcam sensor device has superior capability compared to other solar sensors devices. In conclusion, we propose a future research direction for a better efficiency and effective dynamic solar tracking system. Keywords: Solar tracking Solar sensors Solar panels Overall output generated energy Webcam Photoresistors Photodiodes Feedback Control mechanism
Publisher: American Association for the Advancement of Science (AAAS)
Date: 22-06-2018
Abstract: Consistent classification of neuropsychiatric diseases is problematic because it can lead to misunderstanding of etiology. The Brainstorm Consortium examined multiple genome-wide association studies drawn from more than 200,000 patients for 25 brain-associated disorders and 17 phenotypes. Broadly, it appears that psychiatric and neurologic disorders share relatively little common genetic risk. However, different and independent pathways can result in similar clinical manifestations (e.g., psychosis, which occurs in both schizophrenia and Alzheimer's disease). Schizophrenia correlated with many psychiatric disorders, whereas the immunopathological affliction Crohn's disease did not, and posttraumatic stress syndrome was also largely independent of underlying traits. Essentially, the earlier the onset of a disorder, the more inheritable it appeared to be. Science , this issue p. eaap8757
Publisher: IEEE
Date: 05-2017
Publisher: Elsevier BV
Date: 10-2015
Publisher: IEEE
Date: 12-2017
Publisher: Portland Press Ltd.
Date: 11-2019
DOI: 10.1042/CS20190067
Abstract: Diabetes mellitus (DM) is an important metabolic disorder characterized by persistent hyperglycemia resulting from inadequate production and secretion of insulin, impaired insulin action, or a combination of both. Genetic disorders and insulin receptor disorders, environmental factors, lifestyle choices and toxins are key factors that contribute to DM. While it is often referred to as a metabolic disorder, modern lifestyle choices and nutrient excess induce a state of systemic chronic inflammation that results in the increased production and secretion of inflammatory cytokines that contribute to DM. It is chronic hyperglycemia and the low-grade chronic-inflammation that underlies the development of microvascular and macrovascular complications leading to damage in a number of tissues and organs, including eyes, vasculature, heart, nerves, and kidneys. Improvements in the management of risk factors have been beneficial, including focus on intensified glycemic control, but most current approaches only slow disease progression. Even with recent studies employing SGLT2 inhibitors demonstrating protection against cardiovascular and kidney diseases, kidney function continues to decline in people with established diabetic kidney disease (DKD). Despite the many advances and a greatly improved understanding of the pathobiology of diabetes and its complications, there remains a major unmet need for more effective therapeutics to prevent and reverse the chronic complications of diabetes. More recently, there has been growing interest in the use of specialised pro-resolving mediators (SPMs) as an exciting therapeutic strategy to target diabetes and the chronic complications of diabetes.
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 07-2013
Publisher: Springer International Publishing
Date: 2019
Publisher: Springer International Publishing
Date: 2014
Location: Australia
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