ORCID Profile
0000-0001-6769-3583
Current Organisation
Murdoch University
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Publisher: ACM
Date: 02-04-2017
Publisher: IEEE
Date: 09-2015
Publisher: Inderscience Publishers
Date: 2019
Publisher: Informa UK Limited
Date: 03-10-2016
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 09-2012
Publisher: ACM
Date: 21-06-2009
Publisher: IEEE
Date: 03-2015
Publisher: IEEE
Date: 03-11-2021
Publisher: IEEE
Date: 10-2012
Publisher: Elsevier BV
Date: 10-2021
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: Springer Berlin Heidelberg
Date: 2011
Publisher: MDPI AG
Date: 02-2023
DOI: 10.3390/HORTICULTURAE9020185
Abstract: Nutrient monitoring in Micro Indoor Smart Hydroponics (MISH) relies on measuring electrical conductivity or total dissolved solids to determine the amount of nutrients in a hydroponic solution. Neither method can distinguish concentrations of in idual nutrients. This study presents the development and testing of a novel spectroscopic sensor system to monitor nitrogen changes in nutrient solutions for MISH systems. The design phase determined that using an inexpensive AS7265x Internet of Thing (IoT) sensor in a transflective spectroscopic application could effectively detect small fluctuations in nitrogen concentraation. Next, a novel transflective sensor apparatus was designed and constructed for use in a MISH system experiment, growing lettuce over 30 days. Two solution tanks of different sizes, 80 L and 40 L, were used in the deployment of the system. S les from each tank were analyzed for nitrogen concentration in a laboratory, and multilinear regression was used to predict the nitrogen concentrations using the AS7265x 18 spectral channels recorded in the sensor system. Significant results were found for both tanks with an R2 of 0.904 and 0.911 for the 80 and 40 L tanks, respectively. However, while the use of all wavelengths produced an accurate model, none of the in idual wavelengths were indicative on their own. These findings indicate that the novel system presented in this study successfully and accurately monitors changes in nitrogen concentrations for MISH systems, using low cost IoT sensors.
Publisher: ACM
Date: 28-08-2017
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 10-2010
Publisher: IEEE
Date: 23-11-2021
Publisher: IEEE
Date: 06-2012
Publisher: Emerald
Date: 09-10-2017
Abstract: This paper’s purpose is to provide a current best practice approach that can be used to identify and manage bring your own device (BYOD) security and privacy risks faced by organisations that use mobile devices as part of their business strategy. While BYOD deployment can provide work flexibility, boost employees’ productivity and be cost cutting for organisations, there are also many information security and privacy issues, with some widely recognised, and others less understood. This paper focuses on BYOD adoption, and its associated risks and mitigation strategies, investigating how both information security and privacy can be effectively achieved in BYOD environments. This research paper used a qualitative research methodology, applying the case study approach to understand both organisational and employee views, thoughts, opinions and actions in BYOD environments. This paper identifies and understands BYOD risks, threats and influences, and determines effective controls and procedures for managing organisational and personal information resources in BYOD. The scope of this paper is limited to the inquiry and findings from organisations operating in Australia. This paper also suggests key implications that lie within the ability of organisations to adequately develop and deploy successful BYOD management and practices. This paper expands previous research investigating BYOD practices, and also provides a current best practice approach that can be used by organisations to systematically investigate and understand how to manage security and privacy risks in BYOD environments.
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 10-2007
Publisher: IEEE
Date: 03-2016
Publisher: IEEE
Date: 04-2013
Publisher: IEEE
Date: 03-2015
Publisher: IEEE
Date: 11-2016
Publisher: IEEE
Date: 12-2009
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 10-2010
Publisher: IEEE
Date: 10-2016
DOI: 10.1109/LCN.2017.82
Publisher: IEEE
Date: 10-2017
DOI: 10.1109/LCN.2017.85
Publisher: Springer Science and Business Media LLC
Date: 20-06-2017
Publisher: IEEE
Date: 10-2010
Publisher: IEEE
Date: 09-2007
Publisher: MDPI AG
Date: 25-01-2022
DOI: 10.3390/HORTICULTURAE8020105
Abstract: Environmental changes and the reduction in arable land have led to food security concerns around the world, particularly in urban settings. Hydroponic soilless growing methods deliver plant nutrients using water, conserving resources and can be constructed nearly anywhere. Hydroponic systems have several complex attributes that need to be managed, and this can be daunting for the layperson. Micro Indoor Smart Hydroponics (MISH) leverage Internet of Things (IoT) technology to manage the complexities of hydroponic techniques, for growing food at home for everyday citizens. Two prohibitive costs in the advancement of MISH systems are power consumption and equipment expense. Reducing cost through harvesting ambient light can potentially reduce power consumption but must be done accurately to sustain sufficient plant yields. Photosynthetic Active Radiation (PAR) meters are commercially used to measure only the light spectrum that plants use, but are expensive. This study presents Adaptalight, a MISH system that harvests ambient light using an inexpensive AS7265x IoT sensor to measure PAR. The system is built on commonly found IoT technology and a well-established architecture for MISH systems. Adpatalight was deployed in a real-world application in the living space of an apartment and experiments were carried out accordingly. A two-phase experiment was conducted over three months, each phase lasting 21 days. Phase one measured the IoT sensor’s capability to accurately measure PAR. Phase two measured the ability of the system to harvest ambient PAR light and produce sufficient yields, using the calibrated IoT sensor from phase one. The results showed that the Adaptalight system was successful in saving a significant amount of power, harvesting ambient PAR light and producing yields with no significant differences from the control. The amount of power savings would be potentially greater in a location with more ambient light. Additionally, the findings show that, when calibrated, the AS7265x sensor is well suited to accurately measure PAR light in MISH systems.
No related grants have been discovered for David Murray.