The alpha parallelogram predictor: A lossless compression method for motion capture data

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Title: The alpha parallelogram predictor: A lossless compression method for motion capture data

Authors: Pengjie Wang , Zhigeng Pan d,a , Mingmin Zhang a, , Rynson WH Lau c , Haiyu Song

Abstract: Motion capture data in an uncompressed form can be expensive to store, and slow to load and transmit. Current compression methods for motion capture data are primarily lossy and cause distortions in the motion data. In this paper, we present a lossless compression algorithm for motion capture data. First, we propose a novel Alpha Parallelogram Predictor (APP) to estimate the DOF (degree of freedom) of each child joint from those of its immediate neighbors and parents that have already been processed. The prediction parameter of the predictor, which is referred to as the alpha parameter, is adaptively chosen from a care- fully designed lookup table. Second, we divide the predicted and actual values into three components: sign, exponent and mantissa. We then compress their corrections separately with context-based arithmetic coding. Compared with other lossless compression methods, our approach can achieve a higher compression ratio with a comparable compression time. It can be used in situations where lossy compression is not preferred.   

Publish Year: 2013

Published in: Information Sciences - Science Direct

Number of Pages: 10

موضوع: فشرده سازی داده ها

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Design for rebirth (DFRb) and data structure

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Title: Design for rebirth (DFRb) and data structure

Author: Christian Mascle

Abstract: In this paper, rebirth, the methodology of design for rebirth antedate structure which it requires will be examined. Rebirth is a global strategy of product analysis for sustainable development. A methodology is developed to conceive a product according to objectives defined by its end of life and its generic engineering requirements, and this methodology is implanted in a framework. Our data structure is based on topological information from a boundary representation (B-rep) model and it processes all information relative to the life cycle of the product. The software, based on this data structure, allows predefining certain characteristics based on knowledge of the company or on the data base. This facilitates its use for a wide range of applications.

Publish Year: 2013

Published in: International Journal of Production Economics - Science Direct

Number of Pages: 12

موضوع: پایگاه داده

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Electron repulsion integrals for self-energy calculations

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Title: Electron repulsion integrals for self-energy calculations

Authors: Y Pavlyukh , J Berakdar

Abstract: A fast algorithm for the calculation of the electron repulsion integrals in an atomic basis is a prerequisite of any ab initio quantum chemistry method. Unlike the case of a self-consistent field (SCF) approach, correlated methods often require a full or partial integral transformation to the molecular basis. The run- time of such an algorithm scales unfavorably as O(N ? where N ? is the number of the basis function, and additionally poses high requirements on the computer memory. The problem is aggravated in the case of large highly symmetric molecules which can only be modeled by fully taking the symmetry into account (as was recently demonstrated by us in J. Chem. Phys. 135 (2011) 201103). Wedescribe here the algorithm for the calculation of the electron repulsion integrals, the transformation and their use in the correlated Green s function approach for systems with icosahedral symmetry.   

Publish Year: 2013

Published in: Computer Physics Communications - Science Direct

Number of Pages: 9

موضوع: فیزیک

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