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See detailSuperdiversity and Language
Budach, Gabriele UL; de Saint-Georges, Ingrid UL

in Canagarajah, Suresh (Ed.) The Routledge Handbook of Migration and Language (2017)

Detailed reference viewed: 587 (43 UL)
See detail‘A Superfluous Appearance?’ – The Olympic Winter Pentathlon 1948
Heck, Sandra UL

in Kleppen, H. (Ed.) Winter Sports and Outdoor Life (2011)

Detailed reference viewed: 31 (1 UL)
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See detailThe supergeometry of Loday algebroids
Grabowski, Janusz; Khudaverdyan, David UL; Poncin, Norbert UL

in Journal of Geometric Mechanics (2013), 5(2), 185--213

Detailed reference viewed: 236 (29 UL)
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See detailSuperheavy nuclei in selfconsistent nuclear calculations
Rutz, K.; Bender, M.; Bürvenich, T. et al

in Physical Review. C, Nuclear Physics (1997), 56(1), 238-243

The shell structure of superheavy nuclei is investigated within various parametrizations of relativistic and nonrelativistic nuclear mean-field models. The heaviest known even-even nucleus 156 264Hs108 is ... [more ▼]

The shell structure of superheavy nuclei is investigated within various parametrizations of relativistic and nonrelativistic nuclear mean-field models. The heaviest known even-even nucleus 156 264Hs108 is used as a benchmark to estimate the predictive value of the models. From that starting point, doubly magic spherical nuclei are searched in the region Z51102140 and N5134–298. They are found at (Z5114 , N5184), (Z5120 , N5172), or at (Z5126 , N5184), depending on the parametrization. [less ▲]

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See detailSuperimposed Training based Estimation of Sparse MIMO Channels for Emerging Wireless Networks
Mansoor, Babar; Nawaz, Syed Junaid; Amin, Bilal et al

in Proceedings of ICT 2016 (2016, May)

Multiple-input multiple-output (MIMO) systems constitute an important part of todays wireless communication standards and these systems are expected to take a fundamental role in both the access and ... [more ▼]

Multiple-input multiple-output (MIMO) systems constitute an important part of todays wireless communication standards and these systems are expected to take a fundamental role in both the access and backhaul sides of the emerging wireless cellular networks. Recently, reported measurement campaigns have established that various outdoor radio propagation environments exhibit sparsely structured channel impulse response (CIR). We propose a novel superimposed training (SiT) based up-link channels’ estimation technique for multipath sparse MIMO communication channels using a matching pursuit (MP) algorithm; the proposed technique is herein named as superimposed matching pursuit (SI-MP). Subsequently, we evaluate the performance of the proposed technique in terms of mean-square error (MSE) and bit-error-rate (BER), and provide its comparison with that of the notable first order statistics based superimposed least squares (SI-LS) estimation. It is established that the proposed SI-MP provides an improvement of about 2dB in the MSE at signal-to-noise ratio (SNR) of 12dB as compared to SI-LS, for channel sparsity level of 21.5%. For BER = 10^−2, the proposed SI-MP compared to SI-LS offers a gain of about 3dB in the SNR. Moreover, our results demonstrate that an increase in the channel sparsity further enhances the performance gain [less ▲]

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See detailSuperization of homogeneous spin manifolds and geometry of homogeneous supermanifolds
Santi, Andrea UL

in Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg (2010), 80(1), 87--144

Detailed reference viewed: 137 (1 UL)
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See detailSuperizations of Cahen-Wallach symmetric spaces and spin representations of the Heisenberg algebra
Santi, Andrea UL

in Journal of Geometry and Physics (2010), 60(2), 295--325

Detailed reference viewed: 174 (2 UL)
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See detailSuperman vs. BAD man? - The effects of empathy and game character in violent video games
Happ, Christian UL; Melzer, André UL; Steffgen, Georges UL

in Cyberpsychology, Behavior, and Social Networking (2013), 16(10), 774-778

Detailed reference viewed: 331 (9 UL)
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See detailSupermultiplicity and the relativistic coulomb problem with arbitrary spin
del Sol Mesa, Antonio UL

in Foundations of Physics (1997)

Detailed reference viewed: 55 (0 UL)
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See detailSupersingular Isogeny-Based Designated Verifier Blind Signature
Sahu, Rajeev Anand UL; Gini, Agnese UL; Pal, Ankan

E-print/Working paper (2019)

Detailed reference viewed: 58 (5 UL)
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See detailSupersonic flutter analysis of functionally graded material plates with cracks
Natarajan, Sundararajan; Manickam, Ganapathi; Bordas, Stéphane UL

in Frontiers in Aerospace Engineering (2013), 2(2), 91--97

In this paper, the flutter behaviour of functionally graded material plates immersed in a supersonic flow is studied. An enriched 4-noded quadrilateral element based on field consistency approach is used ... [more ▼]

In this paper, the flutter behaviour of functionally graded material plates immersed in a supersonic flow is studied. An enriched 4-noded quadrilateral element based on field consistency approach is used for this study. The crack is modelled independent of the underlying mesh using partition of unity method (PUM), the extended finite element method (XFEM). The material properties are assumed to be graded only in the thickness direction and the effective material properties are estimated using the rule of mixtures. The plate kinematics is described based on the first order shear deformation theory (FSDT) and the shear correction factors are evaluated employing the energy equivalence principle. The influence of the crack length, the crack orientation, the flow angle and the gradient index on the aerodynamic pressure and the frequency are numerically studied. The results obtained here reveal that the critical frequency and pressure decrease with increase in crack the length and are minimum when the crack is aligned to the flow angle. [less ▲]

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See detailSuperTarget and Matador: resources for exploring drug-target relationships
Guenther, Stefan; Kuhn, Michael; Dunkel, Mathias et al

in Nucleic Acids Research (2008), 36(SI), 919-922

The molecular basis of drug action is often not well understood. This is partly because the very abundant and diverse information generated in the past decades on drugs is hidden in millions of medical ... [more ▼]

The molecular basis of drug action is often not well understood. This is partly because the very abundant and diverse information generated in the past decades on drugs is hidden in millions of medical articles or textbooks. Therefore, we developed a one-stop data warehouse, SuperTarget that integrates drug-related information about medical indication areas, adverse drug effects, drug metabolization, pathways and Gene Ontology terms of the target proteins. An easy-to-use query interface enables the user to pose complex queries, for example to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target the same protein but are metabolized by different enzymes. Furthermore, we provide tools for 2D drug screening and sequence comparison of the targets. The database contains more than 2500 target proteins, which are annotated with about 7300 relations to 1500 drugs; the vast majority of entries have pointers to the respective literature source. A subset of these drugs has been annotated with additional binding information and indirect interactions and is available as a separate resource called Matador. SuperTarget and Matador are available at http://insilico.charite.de/supertarget and http://matador.embl.de. [less ▲]

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See detailA supervised approach to electric tower detection and classification for power line inspection
Sampedro, Carlos; Martinez Luna, Carol UL; Chauhan, Aneesh et al

in 2014 International Joint Conference on Neural Networks (IJCNN) (2014)

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See detailSupervised dimension reduction of intrinsically low-dimensional data
Vlassis, Nikos UL; Motomura, Y.; Kröse, B.

in Neural Computation (2002), 14(1), 191-215

High-dimensional data generated by a system with limited degrees of freedom are often constrained in low-dimensional manifolds in the original space. In this article, we investigate dimension-reduction ... [more ▼]

High-dimensional data generated by a system with limited degrees of freedom are often constrained in low-dimensional manifolds in the original space. In this article, we investigate dimension-reduction methods for such intrinsically low-dimensional data through linear projections that preserve the manifold structure of the data. For intrinsically one-dimensional data, this implies projecting to a curve on the plane with as few intersections as possible. We are proposing a supervised projection pursuit method that can be regarded as an extension of the single-index model for nonparametric regression. We show results from a toy and two robotic applications. [less ▲]

Detailed reference viewed: 102 (0 UL)
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See detailSupervised learning for a Kraft recovery boiler: a data mining approach with Random Forests.
Sainlez, Matthieu UL; Heyen, Georges; Lafourcade, Sébastien

in Favrat, Daniel; Maréchal, François (Eds.) ECOS 2010 Volume IV (Power plants and Industrial processes) (2011, January 11)

A data mining methodology, the random forests, is applied to predict high pressure steam production from the recovery boiler of a Kraft pulping process. Starting from a large database of raw process data ... [more ▼]

A data mining methodology, the random forests, is applied to predict high pressure steam production from the recovery boiler of a Kraft pulping process. Starting from a large database of raw process data, the goal is to identify the input variables that explain the most significant output variations and to predict the high pressure steam flow. [less ▲]

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See detailSupervised Learning of Internal Models for Autonomous Goal-oriented Robot Navigation using Reservoir Computing
Antonelo, Eric Aislan UL; Schrauwen, Benjamin

in 2010 IEEE International Conference on Robotics and Automation (2010)

In this work we propose a hierarchical architec- ture which constructs internal models of a robot environment for goal-oriented navigation by an imitation learning process. The proposed architecture is ... [more ▼]

In this work we propose a hierarchical architec- ture which constructs internal models of a robot environment for goal-oriented navigation by an imitation learning process. The proposed architecture is based on the Reservoir Computing paradigm for training Recurrent Neural Networks (RNN). It is composed of two randomly generated RNNs (called reservoirs), one for modeling the localization capability and one for learning the navigation skill. The localization module is trained to detect the current and previously visited robot rooms based only on 8 noisy infra-red distance sensors. These predictions together with distance sensors and the desired goal location are used by the navigation network to actually steer the robot through the environment in a goal-oriented manner. The training of this architecture is performed in a supervised way (with examples of trajectories created by a supervisor) using linear regression on the reservoir states. So, the reservoir acts as a temporal kernel projecting the inputs to a rich feature space, whose states are linearly combined to generate the desired outputs. Experimental results on a simulated robot show that the trained system can localize itself within both simple and large unknown environments and navigate successfully to desired goals. [less ▲]

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See detailSupervised linear feature extraction for mobile robot localization
Vlassis, Nikos UL; Motomura, Y.; Krose, B.

in Proc. IEEE Int. Conf. on Robotics and Automation (2000)

We are seeking linear projections of supervised high-dimensional robot observations and an appropriate environment model that optimize the robot localization task. We show that an appropriate risk ... [more ▼]

We are seeking linear projections of supervised high-dimensional robot observations and an appropriate environment model that optimize the robot localization task. We show that an appropriate risk function to minimize is the conditional entropy of the robot positions given the projected observations. We propose a method of iterative optimization through a probabilistic model based on kernel smoothing. To obtain good starting optimization solutions we use canonical correlation analysis. We apply our method on a real experiment involving a mobile robot equipped with an omnidirectional camera in an office setup. [less ▲]

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See detailSupervised machine learning for power and bandwidth management in very high throughput satellite systems
Ortiz Gomez, Flor de Guadalupe UL; Tarchi, Daniele; Martinez, Ramon et al

in International Journal of Satellite Communications and Networking (2021)

In the near future, very high throughput satellite (VHTS) systems are expected to have a high increase in traffic demand. However, this increase will not be uniform over the service area and will be also ... [more ▼]

In the near future, very high throughput satellite (VHTS) systems are expected to have a high increase in traffic demand. However, this increase will not be uniform over the service area and will be also dynamic. A solution to this problem is given by flexible payload architectures; however, they require that resource management is performed autonomously and with low latency. In this paper, we propose the use of supervised machine learning, in particular a classification algorithm using a neural network, to manage the resources available in flexible payload architectures. Use cases are presented to demonstrate the effectiveness of the proposed approach, and a discussion is made on all the challenges that are presented. [less ▲]

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See detailA Supervised Verifiable Voting Protocol for the Victorian Electoral Commission
Burton, Craig Burton; Culnane, Chris; Heather, James et al

in EVOTE 2012 (2012)

This paper describes the design of a supervised verifiable voting protocol suitable for use for elections in the state of Victoria, Australia. We provide a brief overview of the style and nature of the ... [more ▼]

This paper describes the design of a supervised verifiable voting protocol suitable for use for elections in the state of Victoria, Australia. We provide a brief overview of the style and nature of the elections held in Victoria and associated challenges. Our protocol, based on Prêt à Voter, presents a new ballot overprinting front-end design, which assists the voter in completing the potentially complex ballot. We also present and analyse a series of modifications to the back-end that will enable it to handle the large number of candidates, 35+ , with ranking single transferable vote (STV), which some Victorian elections require. We conclude with a threat analysis of the scheme and a discussion on the impact of the modifications on the integrity and privacy assumptions of Prêt à Voter. [less ▲]

Detailed reference viewed: 236 (0 UL)