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Cooperative Research Centre

About: Cooperative Research Centre is a based out in . It is known for research contribution in the topics: Population & Sea ice. The organization has 7633 authors who have published 8607 publications receiving 429721 citations.


Papers
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Journal ArticleDOI
TL;DR: Using resonance mode expansions, exact expressions are obtained for the fields, the grating profile, and the reflection and transmission spectra for a large class of nonuniform linear gratings that couple a pair of either copropagating or contrapropagating modes.
Abstract: Resonance modes play an important part in understanding linear nonuniform gratings, analogous to the role played by waveguide modes in waveguide theory. Using resonance mode expansions, exact expressions are obtained for the fields, the grating profile, and the reflection and transmission spectra for a large class of nonuniform linear gratings. The method can deal with linear gratings that couple a pair of either copropagating or contrapropagating modes. The formalism covers the effects of gain and loss (in the small signal limit), chirp, taper, and birefringence. The exact solutions can be used to investigate designs for grating structures. Two detailed example applications of the technique are presented here: an exact solution for a grating that supports only a single resonance mode, and an exact solution for a grating that has nonreciprocal reflective properties from its two ends. \textcopyright{} 1996 The American Physical Society.

130 citations

Journal ArticleDOI
TL;DR: In this paper, the authors demonstrate that reduction in pore pressure is accompanied by a reduction in total minimum horizontal stress (σ h ), a phenomenon described as oil field-scale P p /σ h coupling.
Abstract: Repeated pressure measurements undertaken throughout the depletion of oil fields demonstrate that reduction in pore pressure is accompanied by a reduction in total minimum horizontal stress (σ h ), a phenomenon described herein as oil field-scale pore pressure/stress ( P p /σ h ) coupling. Virgin pressure measurements (i.e. those unaffected by depletion) through normally and overpressured sequences in sedimentary basins demonstrate that overpressure development is accompanied by an increase in σ h , described herein as sedimentary basin-scale P p /σ h coupling. With depletion of the Ekofisk Field, North Sea, minimum horizontal stress decreased at approximately 80% of the rate of reduction of reservoir pore pressure (i.e. Δσ h /Δ P p ≈0.8). Virgin pressures measured in exploration wells surrounding the Ekofisk Field (Norwegian quadrants 1 and 2) indicate that with overpressure development Δσ h /δ P p ≈0.73 (assuming shallow, normally pressured sequences are representative of overpressured sequences prior to overpressure development). Hence, despite the different temporal and spatial scales, the rate of decrease of minimum horizontal stress with pore pressure due to depletion of the Ekofisk Field is similar to the rate of increase of minimum horizontal stress with pore pressure due to overpressure development in the surrounding region. Basin-scale exploration pressure data in the Ekofisk region may thus provide an indication of the reservoir stress changes associated with depletion. Knowledge of such stress changes is critical because they can lead to the collapse of uncased wellbores, sand production and to faulting/fracturing and seismicity with field development.

130 citations

Journal ArticleDOI
TL;DR: In this article, a novel approach was taken to use nanoparticles as carriers and anchors for antifouling ligands, which were chemically functionalized by silane coupling agents, and further used to immobilize PEG molecules on their surface.

130 citations

Book ChapterDOI
TL;DR: This review is an exploration of the ex-situ technologies for cleaning-up the contaminated soil, groundwater and air emissions, highlighting their principles, advantages, deficiencies and the knowledge gaps.
Abstract: Pollution and the global health impacts from toxic environmental pollutants are presently of great concern. At present, more than 100 million people are at risk from exposure to a plethora of toxic organic and inorganic pollutants. This review is an exploration of the ex-situ technologies for cleaning-up the contaminated soil, groundwater and air emissions, highlighting their principles, advantages, deficiencies and the knowledge gaps. Challenges and strategies for removing different types of contaminants, mainly heavy metals and priority organic pollutants, are also described.

129 citations

Book ChapterDOI
18 Sep 2017
TL;DR: This paper addresses both issues in a single model, the robust autoencoder, which learns a nonlinear subspace that captures the majority of data points, while allowing for some data to have arbitrary corruption.
Abstract: PCA is a classical statistical technique whose simplicity and maturity has seen it find widespread use for anomaly detection. However, it is limited in this regard by being sensitive to gross perturbations of the input, and by seeking a linear subspace that captures normal behaviour. The first issue has been dealt with by robust PCA, a variant of PCA that explicitly allows for some data points to be arbitrarily corrupted; however, this does not resolve the second issue, and indeed introduces the new issue that one can no longer inductively find anomalies on a test set. This paper addresses both issues in a single model, the robust autoencoder. This method learns a nonlinear subspace that captures the majority of data points, while allowing for some data to have arbitrary corruption. The model is simple to train and leverages recent advances in the optimisation of deep neural networks. Experiments on a range of real-world datasets highlight the model’s effectiveness.

129 citations


Authors

Showing all 7633 results

NameH-indexPapersCitations
Eric N. Olson206814144586
Nicholas G. Martin1921770161952
Grant W. Montgomery157926108118
Paul Mitchell146137895659
James Whelan12878689180
Shaobin Wang12687252463
Graham D. Farquhar12436875181
Jie Jin Wang12071954587
Christos Pantelis12072356374
John J. McGrath120791124804
David B. Lindenmayer11995459129
Ashley I. Bush11656057009
Yong-Guan Zhu11568446973
Ary A. Hoffmann11390755354
David A. Hume11357359932
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202211
2021243
2020284
2019300
2018327
2017419