ORCID Profile
0000-0002-4168-0888
Current Organisation
Murdoch University
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Publisher: IEEE
Date: 2007
Publisher: IEEE
Date: 06-2007
DOI: 10.1109/ICNS.2007.83
Publisher: IEEE
Date: 1999
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2004
Publisher: ISCA
Date: 08-09-2016
Publisher: IEEE
Date: 04-2008
Publisher: IEEE
Date: 10-2007
Publisher: IEEE
Date: 03-2007
Publisher: IEEE
Date: 07-2008
Publisher: Springer Science and Business Media LLC
Date: 2006
Publisher: IEEE
Date: 06-2017
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 2005
Publisher: Elsevier BV
Date: 08-2017
Publisher: Springer Science and Business Media LLC
Date: 20-04-2007
Publisher: Elsevier BV
Date: 2008
Publisher: Elsevier BV
Date: 11-2008
Publisher: IEEE
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2010
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 04-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2005
Publisher: IEEE
Date: 05-2017
Publisher: IEEE
Date: 2006
Publisher: Elsevier BV
Date: 2022
DOI: 10.1016/J.NUMECD.2021.09.031
Abstract: Substantial scientific evidence supports the effectiveness of a Mediterranean diet (MedDiet) in managing type 2 diabetes mellitus (T2DM). Potential benefits of time restricted feeding (TRF) in T2DM are unknown. The MedDietFast trial aims to investigate the efficacy of a MedDiet with or without TRF compared to standard care diet in managing T2DM. 120 adults aged 20-75 with a body mass index (BMI) of 20-35 kg/m The MedDietFast trial will examine the feasibility and effectiveness of a MedDiet with/without TRF in T2DM patients. Potential synergistic effects of a MedDiet with TRF will be evaluated. Future studies will generate microbiomic and metabolomic data for translation of findings into simple and effective management plans for T2DM patients. Australia and New Zealand Clinical Trials Register, ACTRN12619000246189.
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 11-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
Publisher: Springer Science and Business Media LLC
Date: 12-2018
DOI: 10.1186/S13673-018-0160-7
Abstract: Recommender systems are most often used to predict possible ratings that a user would assign to items, in order to find and propose items of possible interest to each user. In our work, we are interested in a system that will analyze user preferences in order to find and connect people with common interests that happen to be in the same geographical area, i.e., a “friend” recommendation system. We present and propose an algorithm, Egosimilar+, which is shown to achieve superior performance against a number of well-known similarity computation methods from the literature. The algorithm adapts ideas and techniques from the recommender systems literature and the skyline queries literature and combines them with our own ideas on the importance and utilization of item popularity.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2009
DOI: 10.1109/TMC.2009.18
Publisher: IEEE
Date: 2006
Publisher: IEEE
Date: 07-2008
Publisher: IEEE
Date: 08-2007
Publisher: IEEE
Date: 03-2007
Publisher: IEEE
Date: 02-2016
Publisher: Springer Science and Business Media LLC
Date: 2001
Publisher: IEEE
Date: 2008
Publisher: IEEE
Date: 08-2008
Publisher: IEEE
Date: 10-2007
Publisher: IEEE
Date: 2002
Publisher: Elsevier BV
Date: 11-2006
Publisher: IEEE
Date: 04-2009
Publisher: Elsevier BV
Date: 2007
Publisher: Springer Science and Business Media LLC
Date: 27-02-2018
DOI: 10.1186/S13673-018-0127-8
Abstract: The greediness of multimedia applications in terms of their bandwidth demands calls for new and efficient network traffic control mechanisms, especially in wireless networks where the bandwidth is limited. In an enterprise-like environment, an additional burden is expected to be added to the network by screen mirroring traffic. Smart mobile devices are displacing personal computers in many daily applications but at the same time users still need to use a large display, keyboard and mouse. Hence, the transmission of low-latency, high fidelity video over a Wi-Fi link can lead to significant unfairness among users in terms of the bandwidth that is available to them, if this wireless video traffic is not accurately policed. In this work, we focus on the problem of policing screen mirroring traffic. We evaluate various classic and new traffic policing mechanisms, and we propose a new mechanism which is shown to clearly outperform all other mechanisms, including the widely used token bucket policer.
Publisher: IEEE
Date: 11-2006
Publisher: IEEE
Date: 1999
Publisher: ACM
Date: 22-10-2007
Publisher: IEEE
Date: 07-2006
DOI: 10.1109/ICWMC.2006.7
Publisher: Elsevier BV
Date: 09-2017
Publisher: IEEE
Date: 07-2006
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 2005
DOI: 10.1109/LCN.2005.116
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/463791
Abstract: The work presented in this paper is twofold. We first outline the architectural design, the functional requirements, and the user interface of eMatch, an Android application which was inspired by the idea of fighting the loneliness we all witness in large cities. eMatch has the goal of connecting people with common interests that happen to be in the same geographical area. We then propose EgoSimilar, a new algorithm which computes the similarity between users and is implemented in eMatch. The algorithm is compared against two other well-known and widely used similarity computation methods and is shown to outperform them in terms of the most significant metrics used in our study.
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 2005
Publisher: Elsevier BV
Date: 09-2017
Publisher: Springer Science and Business Media LLC
Date: 09-2005
Publisher: IEEE
Date: 2007
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2011
Publisher: ACM
Date: 12-08-2007
Publisher: IEEE
Date: 11-2008
Publisher: Springer Science and Business Media LLC
Date: 10-10-2008
Publisher: Elsevier BV
Date: 11-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2008
Publisher: Elsevier BV
Date: 2008
Publisher: Springer Science and Business Media LLC
Date: 06-06-2007
Publisher: Springer Science and Business Media LLC
Date: 02-09-2020
DOI: 10.1186/S13673-020-00242-W
Abstract: Analysis of time series data has been a challenging research subject for decades. Email traffic has recently been modelled as a time series function using a Recurrent Neural Network (RNN) and RNNs were shown to provide higher prediction accuracy than previous probabilistic models from the literature. Given the exponential rise of email workloads which need to be handled by email servers, in this paper we first present and discuss the literature on modelling email traffic. We then explain the advantages and limitations of different approaches as well as their points of agreement and disagreement. Finally, we present a comprehensive comparison between the performance of RNN and Long Short Term Memory (LSTM) models. Our experimental results demonstrate that both approaches can achieve high accuracy over four large datasets acquired from different universities’ servers, outperforming existing work, and show that the use of LSTM and RNN is very promising for modelling email traffic.
Publisher: IEEE
Date: 2008
Publisher: Elsevier BV
Date: 06-2010
Publisher: Elsevier BV
Date: 2008
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 06-2008
Publisher: Elsevier BV
Date: 06-2006
Publisher: Elsevier BV
Date: 04-2006
Publisher: Springer Science and Business Media LLC
Date: 22-05-2017
DOI: 10.1186/S13673-017-0096-3
Abstract: Satellite networks offer an efficient alternative where no terrestrial networks are available, and can offer a cost effective means of transferring data. Numerous proposals have addressed the problem of resource allocation in geostationary (GEO) satellites, and have been evaluated via various performance metrics related to user Quality of Service (QoS). However, ensuring that on average the users’ QoS requirements are satisfied does not guarantee the satisfaction of their in idual Quality of Experience (QoE) requirements, especially in the case of bursty video users. This paper proposes the use of video scene identification and classification for traffic modeling at the scene level in order to improve resource allocation and user QoE in GEO satellite networks. The proposed call admission control and medium access control framework makes decisions based on available bandwidth, long-term and short-term user satisfaction and the revenue that the provider may gain.
Publisher: Elsevier BV
Date: 10-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 02-2006
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 06-2013
Publisher: IEEE
Date: 2002
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2011
Publisher: Springer Science and Business Media LLC
Date: 30-08-2008
Publisher: Springer Science and Business Media LLC
Date: 27-03-2014
Publisher: ACM
Date: 02-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1970
Publisher: IEEE
Date: 06-1970
Publisher: IEEE
Date: 2005
DOI: 10.1109/ISM.2005.86
Publisher: Hindawi Limited
Date: 08-11-2021
DOI: 10.1002/INT.22731
Publisher: Institution of Engineering and Technology (IET)
Date: 2007
DOI: 10.1049/EL:20073394
Publisher: Elsevier BV
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 23-09-2006
Publisher: Springer Science and Business Media LLC
Date: 23-12-2010
Publisher: IEEE
Date: 04-2008
DOI: 10.1109/ICN.2008.17
Publisher: Springer Science and Business Media LLC
Date: 2000
Publisher: IEEE
Date: 06-2007
DOI: 10.1109/ICNS.2007.39
Publisher: IEEE
Date: 08-2007
No related grants have been discovered for Polychronis Koutsakis.