scispace - formally typeset
Search or ask a question
Institution

Deakin University

EducationBurwood, Victoria, Australia
About: Deakin University is a education organization based out in Burwood, Victoria, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 12118 authors who have published 46470 publications receiving 1188841 citations. The organization is also known as: Deakin.


Papers
More filters
Journal ArticleDOI
TL;DR: By sacrificing modest computation resources to save communication bandwidth and reduce transmission latency, fog computing can significantly improve the performance of cloud computing.
Abstract: Mobile users typically have high demand on localized and location-based information services. To always retrieve the localized data from the remote cloud, however, tends to be inefficient, which motivates fog computing. The fog computing, also known as edge computing, extends cloud computing by deploying localized computing facilities at the premise of users, which prestores cloud data and distributes to mobile users with fast-rate local connections. As such, fog computing introduces an intermediate fog layer between mobile users and cloud, and complements cloud computing toward low-latency high-rate services to mobile users. In this fundamental framework, it is important to study the interplay and cooperation between the edge (fog) and the core (cloud). In this paper, the tradeoff between power consumption and transmission delay in the fog-cloud computing system is investigated. We formulate a workload allocation problem which suggests the optimal workload allocations between fog and cloud toward the minimal power consumption with the constrained service delay. The problem is then tackled using an approximate approach by decomposing the primal problem into three subproblems of corresponding subsystems, which can be, respectively, solved. Finally, based on simulations and numerical results, we show that by sacrificing modest computation resources to save communication bandwidth and reduce transmission latency, fog computing can significantly improve the performance of cloud computing.

681 citations

Journal ArticleDOI
TL;DR: Perceived neighbourhood greenness was more strongly associated with mental health than it was with physical health, whereas the relationship between greenness and mental health was only partly accounted for by recreational walking and social coherence.
Abstract: Background: Studies have shown associations between health indices and access to “green” environments but the underlying mechanisms of this association are not clear. Objectives: To examine associations of perceived neighbourhood “greenness” with perceived physical and mental health and to investigate whether walking and social factors account for the relationships. Methods: A mailed survey collected the following data from adults (n = 1895) in Adelaide, Australia: physical and mental health scores (12-item short-form health survey); perceived neighbourhood greenness; walking for recreation and for transport; social coherence; local social interaction and sociodemographic variables. Results: After adjusting for sociodemographic variables, those who perceived their neighbourhood as highly green had 1.37 and 1.60 times higher odds of better physical and mental health, respectively, compared with those who perceived the lowest greenness. Perceived greenness was also correlated with recreational walking and social factors. When walking for recreation and social factors were added to the regression models, recreational walking was a significant predictor of physical health; however, the association between greenness and physical health became non-significant. Recreational walking and social coherence were associated with mental health and the relationship between greenness and mental health remained significant. Conclusions: Perceived neighbourhood greenness was more strongly associated with mental health than it was with physical health. Recreational walking seemed to explain the link between greenness and physical health, whereas the relationship between greenness and mental health was only partly accounted for by recreational walking and social coherence. The restorative effects of natural environments may be involved in the residual association of this latter relationship.

680 citations

Journal ArticleDOI
TL;DR: Six major themes in the ecology and conservation of landscapes are assessed, including recognizing the importance of landscape mosaics, recognizing interactions between vegetation cover and vegetation configuration, and 13 important issues that need to be considered in developing approaches to landscape conservation.
Abstract: The management of landscapes for biological conservation and ecologically sustainable natural resource use are crucial global issues. Research for over two decades has resulted in a large literature, yet there is little consensus on the applicability or even the existence of general principles or broad considerations that could guide landscape conservation. We assess six major themes in the ecology and conservation of landscapes. We identify 13 important issues that need to be considered in developing approaches to landscape conservation. They include recognizing the importance of landscape mosaics (including the integration of terrestrial and aquatic areas), recognizing interactions between vegetation cover and vegetation configuration, using an appropriate landscape conceptual model, maintaining the capacity to recover from disturbance and managing landscapes in an adaptive framework. These considerations are influenced by landscape context, species assemblages and management goals and do not translate directly into on-the-ground management guidelines but they should be recognized by researchers and resource managers when developing guidelines for specific cases. Two crucial overarching issues are: (i) a clearly articulated vision for landscape conservation and (ii) quantifiable objectives that offer unambiguous signposts for measuring progress.

673 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide a comprehensive and systematic literature review of Artificial Intelligence based short-term load forecasting techniques and provide the major objective of this study is to review, identify, evaluate and analyze the performance of artificial Intelligence based load forecast models and research gaps.
Abstract: Electrical load forecasting plays a vital role in order to achieve the concept of next generation power system such as smart grid, efficient energy management and better power system planning. As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. Published literature presented in this paper show the potential of AI techniques for effective load forecasting in order to achieve the concept of smart grid and buildings.

673 citations

Journal ArticleDOI
TL;DR: There is a need to conduct studies that evaluate areas of body dissatisfaction that have greater relevance for males, to allow a better understanding of the relationship between body dissatisfaction and psychological and behavioral problems experienced by males at all stages of the lifespan.

670 citations


Authors

Showing all 12448 results

NameH-indexPapersCitations
Patrick D. McGorry137109772092
Mary Story13552264623
Dacheng Tao133136268263
Paul Harrison133140080539
Paul Zimmet128740140376
Neville Owen12770074166
Louisa Degenhardt126798139683
David Scott124156182554
Anthony F. Jorm12479867120
Tao Zhang123277283866
John C. Wingfield12250952291
John J. McGrath120791124804
Eduard Vieta119124857755
Michael Berk116128457743
Ashley I. Bush11656057009
Network Information
Related Institutions (5)
Monash University
100.6K papers, 3M citations

96% related

University of Queensland
155.7K papers, 5.7M citations

95% related

University of New South Wales
153.6K papers, 4.8M citations

95% related

University of Sydney
187.3K papers, 6.1M citations

94% related

University of Auckland
77.7K papers, 2.6M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023162
2022676
20215,123
20204,513
20193,981
20183,543