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Institution

Memorial University of Newfoundland

EducationSt. John's, Newfoundland and Labrador, Canada
About: Memorial University of Newfoundland is a education organization based out in St. John's, Newfoundland and Labrador, Canada. It is known for research contribution in the topics: Population & Gadus. The organization has 13818 authors who have published 27785 publications receiving 743594 citations. The organization is also known as: Memorial University & Memorial University of Newfoundland and Labrador.


Papers
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Proceedings ArticleDOI
08 Oct 2000
TL;DR: In this article, an adaptive backstepping technique for an interior permanent-magnet synchronous motor (IPMSM) drive based on newly developed adaptive back stepping technique is presented.
Abstract: This paper presents a novel speed control technique for an interior permanent-magnet synchronous motor (IPMSM) drive based on newly developed adaptive backstepping technique. The proposed stabilizing feedback law for the IPMSM drive is shown to be globally asymptotically stable in the context of Lyapunov theory. The adaptive backstepping technique takes system nonlinearities into account in the control system design stage. The detailed derivations of the control laws have been given for controller design. The complete IPMSM drive incorporating the proposed backstepping control technique has been successfully implemented in real-time using digital signal processor board DS1102 for a laboratory 1-hp motor. The performance of the proposed drive is investigated both in experiment and simulation at different operating conditions. It is found that the proposed control technique provides a good speed tracking performance for the IPMSM drive ensuring the global stability.

284 citations

Journal Article
TL;DR: FINS is a rapid, reliable and reproducible procedure that is based on established techniques that fills the need for an accurate method of determining the species identity of a specimen when this is not possible by conventional means.
Abstract: The keys to identifying different species normally rely heavily on morphological characteristics. However, when an animal has been killed for food or sport, these markers are often destroyed or intentionally removed from the animal. This presents a problem for government agencies who are involved in determining the species origin of an animal or products derived from it in order to enforce conservation and/or health-related regulations. The problem is compounded if the meat of the animal has been processed in any way. We have developed a procedure called FINS (Forensically Informative Nucleotide Sequencing) that overcomes these problems. FINS has four components. First, methods have been developed that can isolate DNA from a wide range of biological samples including processed foods (e.g., canned, partially cooked, pickled, salted or smoked). Second, a specific segment of DNA is amplified using PCR. Third, the nucleotide sequence of the amplified segment of DNA is determined. Fourth, this nucleotide sequence is subjected to a phylogenetic analysis using a database, and the most closely related species is identified. FINS is a rapid, reliable and reproducible procedure that is based on established techniques. This procedure fills the need for an accurate method of determining the species identity of a specimen when this is not possible by conventional means.

282 citations

Journal ArticleDOI
TL;DR: In this paper, two sets of aluminum beams were used for this experimental study each set consisted of seven beams, the first set had fixed ends, and the second set was simply supported Cracks were initiated at seven different locations from one end to the other end (along the length of the beam) for each set, with crack depth ratios ranging from 01 d to 07 d (d is the beam depth) in steps of 01, at each crack location.

282 citations

Journal ArticleDOI
TL;DR: An alternative strategy that incorporates behavioural, electrophysiological and histological endpoints is put forth as a more powerful method for gauging neuroprotection and will be increased if these assessments are performed on the same animals.

281 citations

Journal ArticleDOI
TL;DR: In this article, the authors compared the minimal important difference (MID) with the minimal detectable change (MDC) generated by distribution-based methods and found that the 95% limits of agreement and the reliable change index yielded the largest estimates.

281 citations


Authors

Showing all 13990 results

NameH-indexPapersCitations
Daniel Levy212933194778
Rakesh K. Jain2001467177727
Peter W.F. Wilson181680139852
Martin G. Larson171620117708
Peter B. Jones145185794641
Dafna D. Gladman129103675273
Guoyao Wu12276456270
Fereidoon Shahidi11995157796
David Harvey11573894678
Robert C. Haddon11257752712
Se-Kwon Kim10276339344
John E. Dowling9430528116
Mark J. Sarnak9439342485
William T. Greenough9320029230
Soottawat Benjakul9289134336
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202386
2022269
20211,808
20201,749
20191,568
20181,516