Institution
Curtin University
Education•Perth, Western Australia, Australia•
About: Curtin University is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Zircon. The organization has 14257 authors who have published 48997 publications receiving 1336531 citations. The organization is also known as: WAIT & Western Australian Institute of Technology.
Topics: Population, Zircon, Poison control, Health care, Mental health
Papers published on a yearly basis
Papers
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TL;DR: This review will discuss the barrier issue from a biological and pathological perspective to provide a better insight to the challenges and opportunities associated with the BBB.
772 citations
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TL;DR: The aim of this work was to comprehensively review most of the studies published on this topic in China, including literature concerning field measurements, laboratory studies and the impacts of BB indoors and outdoors in China to provide a basis for formulation of policies and regulations by policy makers in China.
772 citations
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TL;DR: In this paper, the authors explore the determinants of CO 2 emissions using the STIRPAT model and data from 1980 to 2011 for OECD countries, and find that non-renewable energy consumption increases CO2 emissions whereas renewable energy consumption decreases CO 2 emission.
764 citations
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TL;DR: A new class of RFS distributions is proposed that is conjugate with respect to the multiobject observation likelihood and closed under the Chapman-Kolmogorov equation and is tested on a Bayesian multi-target tracking algorithm.
Abstract: The objective of multi-object estimation is to simultaneously estimate the number of objects and their states from a set of observations in the presence of data association uncertainty, detection uncertainty, false observations, and noise. This estimation problem can be formulated in a Bayesian framework by modeling the (hidden) set of states and set of observations as random finite sets (RFSs) that covers thinning, Markov shifts, and superposition. A prior for the hidden RFS together with the likelihood of the realization of the observed RFS gives the posterior distribution via the application of Bayes rule. We propose a new class of RFS distributions that is conjugate with respect to the multiobject observation likelihood and closed under the Chapman-Kolmogorov equation. This result is tested on a Bayesian multi-target tracking algorithm.
762 citations
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TL;DR: In this article, a microprocessor-controlled tracker capable of online voltage and current measurements and programmed with both voltage-based and current-based MPPT algorithms is constructed, where the load of the solar system is either a water pump or a resistance.
Abstract: Detailed theoretical and experimental analyses are presented for the comparison of two simple fast and reliable maximum power point tracking (MPPT) techniques for photovoltaic systems (PV): the voltage-based (VMPPT) and the current-based (CMPPT) approaches. A microprocessor-controlled tracker capable of online voltage and current measurements and programmed with both VMPPT and CMPPT algorithms is constructed. The load of the solar system is either a water pump or a resistance. Simulink facilities are used for simulation and modeling of the novel trackers. The main advantage of this new MPPT, as compared with present trackers, is the elimination of reference (dummy) cells, which results in a more efficient, less expensive, and more reliable PV system.
761 citations
Authors
Showing all 14504 results
Name | H-index | Papers | Citations |
---|---|---|---|
David Smith | 129 | 2184 | 100917 |
Christopher G. Maher | 128 | 940 | 73131 |
Mike Wright | 127 | 775 | 64030 |
Shaobin Wang | 126 | 872 | 52463 |
Mietek Jaroniec | 123 | 571 | 79561 |
John B. Holcomb | 120 | 733 | 53760 |
Simon A. Wilde | 118 | 390 | 45547 |
Jian Liu | 117 | 2090 | 73156 |
Meilin Liu | 117 | 827 | 52603 |
Guochun Zhao | 113 | 406 | 40886 |
Mark W. Chase | 111 | 519 | 50783 |
Robert U. Newton | 109 | 753 | 42527 |
Simon P. Driver | 109 | 455 | 46299 |
Peter R. Schofield | 109 | 693 | 50892 |
Gao Qing Lu | 108 | 546 | 53914 |