994 resultados para Computer Algebra


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This paper seeks to explore the construction of narrative space in 3D PC computer games. With reference to Stephen Heath’s theory of filmic narrative space, the paper will examine how computer games, based on the rendition of a continuous 3D, real-time interactive environment, construct a distinct mode of narrativisation. The dynamic imbrication of the manipulation of 3D objects in a virtual world and the (re)presentation of this virtual mise-en-scene constitute an interaction that affects the concept of narrative in computer games. This leads to several questions that the paper seeks to investigate: How does the construction of space in PC games contribute to the meaning-making process or the gamer’s experience of narrative? How then is this experience of narrative game-space different from that of film?

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REMA is an interactive web-based program which predicts endonuclease cut sites in DNA sequences. It analyses Multiple sequences simultaneously and predicts the number and size of fragments as well as provides restriction maps. The users can select single or paired combinations of all commercially available enzymes. Additionally, REMA permits prediction of multiple sequence terminal fragment sizes and suggests suitable restriction enzymes for maximally discriminatory results. REMA is an easy to use, web based program which will have a wide application in molecular biology research. Availability: REMA is written in Perl and is freely available for non-commercial use. Detailed information on installation can be obtained from Jan Szubert (jan.szubert@gmail.com) and the web based application is accessible on the internet at the URL http://www.macaulay.ac.uk/rema. Contact: b.singh@macaulay.ac.uk. (C) 2007 Elsevier B.V. All rights reserved.

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This work presents a novel approach for human action recognition based on the combination of computer vision techniques and common-sense knowledge and reasoning capabilities. The emphasis of this work is on how common sense has to be leveraged to a vision-based human action recognition so that nonsensical errors can be amended at the understanding stage. The proposed framework is to be deployed in a realistic environment in which humans behave rationally, that is, motivated by an aim or a reason. © 2012 Springer-Verlag.

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This paper describes the deployment on GPUs of PROP, a program of the 2DRMP suite which models electron collisions with H-like atoms and ions. Because performance on GPUs is better in single precision than in double precision, the numerical stability of the PROP program in single precision has been studied. The numerical quality of PROP results computed in single precision and their impact on the next program of the 2DRMP suite has been analyzed. Successive versions of the PROP program on GPUs have been developed in order to improve its performance. Particular attention has been paid to the optimization of data transfers and of linear algebra operations. Performance obtained on several architectures (including NVIDIA Fermi) are presented.

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We describe the C*-algebras of " ax+b" -like groups in terms of algebras of operator fields defined over their dual spaces.