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Institution

University of Wollongong

EducationWollongong, New South Wales, Australia
About: University of Wollongong is a education organization based out in Wollongong, New South Wales, Australia. It is known for research contribution in the topics: Population & Graphene. The organization has 15674 authors who have published 46658 publications receiving 1197471 citations. The organization is also known as: UOW & Wollongong University.
Topics: Population, Graphene, Mental health, Anode, Lithium


Papers
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Journal ArticleDOI
TL;DR: WRP enables a mobile sink to retrieve all sensed data within a given deadline while conserving the energy expenditure of sensor nodes and reduces energy consumption and network lifetime by 44%, as compared with existing algorithms.
Abstract: Several studies have demonstrated the benefits of using a mobile sink to reduce the energy consumption of nodes and to prevent the formation of energy holes in wireless sensor networks (WSNs). However, these benefits are dependent on the path taken by the mobile sink, particularly in delay-sensitive applications, as all sensed data must be collected within a given time constraint. An approach proposed to address this challenge is to form a hybrid moving pattern in which a mobile-sink node only visits rendezvous points (RPs), as opposed to all nodes. Sensor nodes that are not RPs forward their sensed data via multihopping to the nearest RP. The fundamental problem then becomes computing a tour that visits all these RPs within a given delay bound. Identifying the optimal tour, however, is an NP-hard problem. To address this problem, a heuristic called weighted rendezvous planning (WRP) is proposed, whereby each sensor node is assigned a weight corresponding to its hop distance from the tour and the number of data packets that it forwards to the closest RP. WRP is validated via extensive computer simulation, and our results demonstrate that WRP enables a mobile sink to retrieve all sensed data within a given deadline while conserving the energy expenditure of sensor nodes. More specifically, WRP reduces energy consumption by 22% and increases network lifetime by 44%, as compared with existing algorithms.

278 citations

Journal ArticleDOI
TL;DR: This paper presents a comprehensive overview of the localization systems for robotic endoscopic capsules, for which the motivation, challenges, and possible solutions of the proposed localization methods are also discussed.
Abstract: Obscure gastrointestinal (GI) bleeding, Crohn disease, Celiac disease, small bower tumors, and other disorders that occur in the GI tract have always been challenging to be diagnosed and treated due to the inevitable difficulty in accessing such a complex environment within the human body. With the invention of wireless capsule endoscope, the next generation of the traditional cabled endoscope, not only a dream has come true for the patients who have experienced a great discomfort and unpleasantness caused by the conventional endoscopic method, but also a new research field has been opened to develop a complete miniature robotic device that is swallowable and has full functions of diagnosis and treatment of the GI diseases. However, such an ideal device needs to be equipped with a highly accurate localization system to be able to exactly determine the location of lesions in the GI tract and provide essential feedback to an actuation mechanism controlling the device's movement. This paper presents a comprehensive overview of the localization systems for robotic endoscopic capsules, for which the motivation, challenges, and possible solutions of the proposed localization methods are also discussed.

277 citations

Journal ArticleDOI
TL;DR: This is one of the first randomized controlled trials to show that healthy dietary changes are achievable and, supplemented with fish oil, can improve mental health in people with depression.
Abstract: Objectives: We investigated whether a Mediterranean-style diet (MedDiet) supplemented with fish oil can improve mental health in adults suffering depression.Methods: Adults with self-reported depre...

277 citations

Journal ArticleDOI
TL;DR: The results suggest that the presence of certain major organic osmoregulatory solutes may be useful in the numerical taxonomy of cyanobacteria, and in the identification of some ionic characteristics of the environment of origin of each isolate.
Abstract: The major organic osmoregulatory solutes of 36 cyanobacteria from a wide range of environmental sources have been examined using 13C nuclear magnetic resonance spectroscopy. These strains were also examined for their salt-tolerance, and could be arranged in three salt-tolerance groups, designated freshwater, marine and hypersaline. The most salt-tolerant cyanobacteria in the hypersaline group are properly classified as moderately halophilic. Cyanobacteria from all habitats and taxonomic groups accumulated organic osmoregulatory solutes, and the chemical class of the solute correlated with the salt-tolerance and habitat of the strain. Freshwater strains accumulated simple saccharides, predominantly sucrose and trehalose; marine strains accumulated the heteroside O-α-D-glucopyranosyl-(1→2)-glycerol, and hypersaline strains accumulated sucrose and/or trehalose together with glycine betaine or the novel solute L-glutamate betaine (N-trimethyl-L-glutamate) or they accumulated glycine betaine alone. The results suggest that the presence of certain major organic osmoregulatory solutes may be useful in the numerical taxonomy of cyanobacteria, and in the identification of some ionic characteristics of the environment of origin of each isolate.

277 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a less destructive procedure for tephra extraction based on stepped heavy liquid flotation and which results in samples of sufficient quality for analysis while preserving their geochemical integrity.

277 citations


Authors

Showing all 15918 results

NameH-indexPapersCitations
Lei Jiang1702244135205
Menachem Elimelech15754795285
Yoshio Bando147123480883
Paul Mitchell146137895659
Jun Chen136185677368
Zhen Li127171271351
Neville Owen12770074166
Chao Zhang127311984711
Jay Belsky12444155582
Shi Xue Dou122202874031
Keith A. Johnson12079851034
William R. Forman12080053717
Yang Li117131963111
Yusuke Yamauchi117100051685
Guoxiu Wang11765446145
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202388
2022483
20212,897
20203,018
20192,784