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Institution

University of Portsmouth

EducationPortsmouth, Portsmouth, United Kingdom
About: University of Portsmouth is a education organization based out in Portsmouth, Portsmouth, United Kingdom. It is known for research contribution in the topics: Population & Galaxy. The organization has 5452 authors who have published 14256 publications receiving 424346 citations. The organization is also known as: Portsmouth and Gosport School of Science and Art & Portsmouth and Gosport School of Science and the Arts.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors look retrospectively at the perceptions embraced by academics, international agencies and practitioners of the relation between fisheries and poverty in developing countries and try to identify the underlying paradigms which have structured these perceptions.

534 citations

Journal ArticleDOI
TL;DR: The Rheic Ocean is the most important ocean of the Palaeozoic as discussed by the authors, and its suture along the line of a former Neoproterozoic suture following the onset of subduction in the outboard Iapetus Ocean.

521 citations

Journal ArticleDOI
TL;DR: In this article, a detection of the baryon acoustic oscillation (BAO) feature in the three-dimensional correlation function of the transmitted flux fraction in the Lyα forest of high-redshift quasars was reported.
Abstract: We report a detection of the baryon acoustic oscillation (BAO) feature in the three-dimensional correlation function of the transmitted flux fraction in the Lyα forest of high-redshift quasars. The study uses 48,640 quasars in the redshift range 2.1≤ z≤ 3.5 from the Baryon Oscillation Spectroscopic Survey (BOSS) of the third generation of the Sloan Digital Sky Survey (SDSS-III). At a mean redshift z = 2.3, we measure the monopole and quadrupole components of the correlation function for separations in the range 20h −1 Mpc < r < 200h −1 Mpc. A peak in the correlation function is seen at a separation equal to (1.01± 0.03) times the distance 

518 citations

Journal ArticleDOI
TL;DR: The Takagi-Sugeno (T-S) fuzzy model approach is adapted with the consideration of the sprung and the unsprung mass variation, the actuator delay and fault, and other suspension performances to design a reliable fuzzy H∞ controller for active suspension systems with actuatordelay and fault.
Abstract: This paper is focused on reliable fuzzy H∞ controller design for active suspension systems with actuator delay and fault. The Takagi-Sugeno (T-S) fuzzy model approach is adapted in this study with the consideration of the sprung and the unsprung mass variation, the actuator delay and fault, and other suspension performances. By the utilization of the parallel-distributed compensation scheme, a reliable fuzzy H∞ performance analysis criterion is derived for the proposed T-S fuzzy model. Then, a reliable fuzzy H∞ controller is designed such that the resulting T-S fuzzy system is reliable in the sense that it is asymptotically stable and has the prescribed H∞ performance under given constraints. The existence condition of the reliable fuzzy H∞ controller is obtained in terms of linear matrix inequalities (LMIs) Finally, a quarter- vehicle suspension model is used to demonstrate the effectiveness and potential of the proposed design techniques.

516 citations

Journal ArticleDOI
TL;DR: This article describes the original Analytic Hierarchy Process (AHP) as it is implemented in the software package Expert Choice and demonstrates its application through a practical example.
Abstract: This article describes the original Analytic Hierarchy Process (AHP) as it is implemented in the software package Expert Choice. We demonstrate its application through a practical example. In particular, we discuss problem modelling, pairwise comparisons, judgement scales, derivation methods, consistency indices, synthesis of the weights and sensitivity analysis. Finally, the limitations of the original AHP along with the new proposed development are explained.

515 citations


Authors

Showing all 5624 results

NameH-indexPapersCitations
Robert C. Nichol187851162994
Gavin Davies1592036149835
Daniel Thomas13484684224
Will J. Percival12947387752
Claudia Maraston10336259178
I. W. Harry9831265338
Timothy Clark95113753665
Kevin Schawinski9537630207
Ashley J. Ross9024846395
Josep Call9045134196
David A. Wake8921446124
L. K. Nuttall8925354834
Stephen Neidle8945732417
Andrew Lundgren8824957347
Rita Tojeiro8722943140
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202363
2022282
2021961
2020976
2019905
2018850