ORCID Profile
0000-0002-4153-8769
Current Organisations
Central Institute of Plastics Engineering and Technology
,
University of Technology Sydney
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Publisher: Informa UK Limited
Date: 2012
Publisher: IEEE
Date: 28-03-2022
Publisher: IEEE
Date: 26-09-2022
Publisher: IEEE
Date: 05-2007
Publisher: IEEE
Date: 05-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 04-11-2021
Publisher: IEEE
Date: 09-2016
Publisher: Springer International Publishing
Date: 29-11-2019
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 09-2016
Publisher: Springer International Publishing
Date: 29-11-2019
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11520184_3
Publisher: IEEE
Date: 08-2011
Publisher: IEEE
Date: 06-2015
Publisher: Informa UK Limited
Date: 2012
Publisher: Inderscience Publishers
Date: 2020
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 1990
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: MDPI AG
Date: 13-05-2019
DOI: 10.3390/IJMS20092355
Abstract: Due to the inevitable presence of random defects, unpredictable grain boundaries in macroscopic s les, stress concentration at cl ing points, and unknown load distribution in the investigation of graphene sheets, uncertainties are crucial and challenging issues that require more exploration. The application of the Kriging surrogate model in vibration analysis of graphene sheets is proposed in this study. The Latin hypercube s ling method effectively propagates the uncertainties in geometrical and material properties of the finite element model. The accuracy and convergence of the Kriging surrogate model are confirmed by a comparison with the reported references. The uncertainty analysis for both Zigzag and Armchair graphene sheets are compared and discussed.
Publisher: IEEE
Date: 10-2007
Publisher: IEEE
Date: 1996
Publisher: IEEE
Date: 1990
Publisher: IBIMA Publishing
Date: 07-05-2021
DOI: 10.5171/2021.666987
Abstract: Evidence suggests that, regardless of the number of technical controls in place, organizations will still experience security breaches. Organizations spend millions of dollars on their cyber security infrastructure that includes technical and non-technical measures but mostly disregarded the most important asset and vulnerability the human.
Publisher: Academy Publisher
Date: 05-02-2014
Publisher: IEEE
Date: 09-2011
Publisher: IEEE
Date: 07-2017
Publisher: IEEE
Date: 2001
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: IEEE
Date: 09-2019
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 07-2017
Publisher: IEEE
Date: 10-2012
Publisher: Springer International Publishing
Date: 2015
Publisher: Springer International Publishing
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 04-11-2021
Publisher: Scientific Research Publishing, Inc.
Date: 2020
Publisher: IEEE
Date: 07-2017
Publisher: IEEE
Date: 05-2008
Publisher: IEEE
Date: 07-2017
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: MDPI AG
Date: 20-05-2022
DOI: 10.3390/MA15103679
Abstract: Graphene is one of the most promising two-dimensional nanomaterials with broad applications in many fields. However, the variations and fluctuations in the material and geometrical properties are challenging issues that require more concern. In order to quantify uncertainty and analyze the impacts of uncertainty, a stochastic finite element model (SFEM) is proposed to propagate uncertainty for carbon atomic interactions under resonant vibration. Compared with the conventional truss or beam finite element models, both carbon atoms and carbon covalent bonds are considered by introducing plane elements. In addition, the determined values of the material and geometrical parameters are expanded into the related interval ranges with uniform probability density distributions. Based on the SFEM, the uncertainty propagation is performed by the Monte Carlo stochastic s ling process, and the resonant frequencies of graphene are provided by finite element computation. Furthermore, the correlation coefficients of characteristic parameters are computed based on the database of SFEM. The vibration modes of graphene with the extreme geometrical values are also provided and analyzed. According to the computed results, the minimum and maximum values of the first resonant frequency are 0.2131 and 16.894 THz, respectively, and the variance is 2.5899 THz. The proposed SFEM is an effective method to propagate uncertainty and analyze the impacts of uncertainty in the carbon atomic interactions of graphene. The work in this paper provides an important supplement to the atomic interaction modeling in nanomaterials.
Publisher: Springer International Publishing
Date: 11-12-2021
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 04-2018
Publisher: IEEE
Date: 1994
Publisher: ACM
Date: 29-01-2019
Publisher: IEEE
Date: 1994
Publisher: IEEE
Date: 04-10-2021
Publisher: Institution of Engineering and Technology (IET)
Date: 02-1994
Publisher: IEEE
Date: 2008
Publisher: IEEE
Date: 1997
Publisher: IEEE
Date: 2004
Publisher: IEEE
Date: 09-2016
Publisher: IEEE
Date: 1998
Publisher: IEEE
Date: 25-11-2020
Publisher: IEEE
Date: 2006
Publisher: IEEE
Date: 10-2013
Publisher: Institution of Engineering and Technology (IET)
Date: 22-05-1986
DOI: 10.1049/EL:19860391
Publisher: Institution of Engineering and Technology (IET)
Date: 1991
Publisher: IEEE
Date: 14-09-2021
Publisher: IEEE
Date: 09-2016
Publisher: Springer International Publishing
Date: 2014
Publisher: IEEE
Date: 1997
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: IEEE
Date: 09-2016
Publisher: OMICS Publishing Group
Date: 2017
Publisher: Polish Academy of Sciences Committee of Electronics and Telecommunications
Date: 2018
DOI: 10.24425/119372
Publisher: IEEE
Date: 07-2006
Publisher: IEEE
Date: 03-2012
Publisher: IEEE
Date: 1994
Publisher: Elsevier BV
Date: 06-2019
Publisher: IEEE
Date: 04-11-2021
Publisher: IEEE
Date: 10-2013
Publisher: Springer Science and Business Media LLC
Date: 2003
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: IEEE
Date: 07-2017
Publisher: IEEE
Date: 1993
Publisher: IEEE
Date: 03-2012
Publisher: IEEE
Date: 1993
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: IEEE
Date: 09-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1991
DOI: 10.1109/13.79895
Publisher: IEEE
Date: 09-2019
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: IEEE
Date: 09-2019
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 2005
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: IEEE
Date: 2005
Publisher: Springer Science and Business Media LLC
Date: 14-02-2007
Publisher: IEEE
Date: 08-2007
Publisher: IEEE
Date: 11-2006
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 10-2016
Publisher: IEEE
Date: 07-2006
Publisher: River Publishers
Date: 09-2022
Publisher: IEEE
Date: 11-2019
Publisher: IEEE
Date: 1994
Publisher: IEEE
Date: 1993
Publisher: IEEE
Date: 1990
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Publisher: IEEE
Date: 1998
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 1990
Publisher: IEEE
Date: 1998
Publisher: IEEE
Date: 2001
Publisher: IEEE
Date: 12-2018
Publisher: Elsevier BV
Date: 07-2023
Publisher: Elsevier BV
Date: 07-2023
Publisher: Academy Publisher
Date: 05-03-2014
Publisher: IEEE
Date: 11-2019
Publisher: IEEE
Date: 06-2012
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: IGI Global
Date: 2016
DOI: 10.4018/978-1-5225-0239-5.CH009
Abstract: Future fit demand combined with a flexible technical solution that is by latest wireless technology stands for. Estimating of the user's location is going to be an integral system with the upcoming mobile technology. This chapter shows some techniques for estimating the direction of arrival (DOA) with mathematical elaboration and simulation results as well. Estimating the DOA in this chapter is regarded to the purpose of using Smart antenna system. It is possible to estimate the location of a user by considering the uplink transmission system of the mobile communication system. Estimating the channel and accurate path delay is also an important task which might be done by using 1D Uniform Linear Array (ULA) or 2D Uniform Rectangular (URA) array antenna system. In this chapter, 1D ULA is considered in order to utilize some popular techniques. The performance of a communication system between two ends is substantially determined by the behaviors of the channel characteristics. It determines signal transformation while propagating through the channel between receivers and transmitters. Accurate channel information is crucial for both the transmitter and receiver ends to perform their best services. The ultimate focus of this chapter is to estimate the channel based on 2D parameter estimation. Uniform Rectangular Array (URA) is used to perform the 2D parameter estimation. It is possible to estimate Azimuth and Elevation of a source by using URA model.
Publisher: MDPI AG
Date: 14-08-2022
DOI: 10.3390/ELECTRONICS11162543
Abstract: The Internet of Things (IoT) connects our world in more ways than we imagine. Wireless sensor network (WSN) technology is at the core of implementing IoT architectures. Although WSN applications give us enormous opportunities, their deployment is challenging because of the energy constraint in sensor nodes. The primary design objective of WSNs is therefore to maximize energy efficiency. Enhancing network quality of service (QoS), such as latency, is another crucial factor, particularly for different delay-sensitive applications. Medium access control (MAC) protocols are of paramount importance to achieve these targets. Over the years, several duty-cycled MAC protocols were proposed. Among them, the strobed preamble approach introduced in X-MAC has gained much interest in IoT field because of its several theoretical advantages. However, X-MAC is highly efficient only under light traffic. Under heavy traffic, X-MAC incurs high per-packet overhead and extra delay. In addition, X-MAC has several design flaws that can significantly degrade network performance. In this paper, we point out some specific malfunctions in the original X-MAC design and propose alternatives to reduce their impact. We present an energy-efficient, traffic-adaptive MAC protocol called QX-MAC that addresses the foreseen shortcomings in X-MAC. QX-MAC integrates Q-learning and the more bit scheme to enable the nodes to adapt the active period and duty cycle in accordance with incoming traffic. Finally, the performance of QX-MAC is thoroughly analyzed compared with other reference protocols to validate its efficacy. Our QX-MAC simulation results demonstrate substantial improvements in overall network performance in terms of energy consumption, packet loss, delay, or throughput.
Publisher: Institution of Engineering and Technology (IET)
Date: 1998
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 1992
Publisher: IEEE
Date: 09-2014
Publisher: Emerald
Date: 31-12-2006
DOI: 10.1108/17427370780000155
Abstract: This paper describes the design of a scalable bio‐mimetic framework that addresses several key issues of autonomous agents in the functional management domain of complex Ubiquitous Service‐Oriented Networks.We propose an autonomous network service management platform ‐ SwarmingNet, which is motivated by observations of the swarm intelligence in biological systems (e.g., Termite, Ant/Bees colonies, or Locusts ). In this SwarmingNet architecture, the required network service processes are implemented by a group of highly erse and autonomic objects. These objects are called TeleService Solons (TSSs) as elements of TeleService Holons (TSHs), analoguous to in idual insects as members of the whole colony. A single TSS is only able to pursue simple behaviors and interactions with local neighbors, on the contrary, a group of TSSs have the capabilities of fulfilling the complex tasks relating to service discovery and service activation.We simulate a service configuration process for a Multimedia Messaging Service, and a performance comparison between the bio‐agents and normal agents is analyzed. Finally, we conclude that through bio‐swarming intelligence behaviors, this infrastructure develops the enhanced self‐X capabilities which give IP networks advantages of instinctive compatibility, efficiency and scalability.
Publisher: Informa UK Limited
Date: 06-05-2021
Publisher: IEEE
Date: 1993
Publisher: IEEE Comput. Soc
Date: 2001
Publisher: IEEE
Date: 12-2018
Publisher: IEEE
Date: 04-2018
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Institution of Engineering and Technology (IET)
Date: 1985
DOI: 10.1049/EL:19850399
Publisher: IEEE
Date: 1993
Publisher: IEEE
Date: 1998
Location: Australia
Location: South Africa
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Robin Braun.