In this paper, a novel waiting-time distribution function (WTDF), ψ(t), which is not purely ex- ponential and is universally valid for explaining recently the low-frequency (say, w<10GHz) fluc- tuation, dissipation, and relaxation properties of condensed matter, is used to discuss asymptotic solutions of the continuous-time random-walk (CTRW) problems. Many results of theoretical and experimental interest are obtained. These results include the mean displacement, the dispersive mobility, the mean-squared displacement, the dispersive diffusion coefficient, the Nernst-Einstein relation, the variance and the standard variance, the lattice statistics, the initial-site occupation probability, the dispersive conductivity, the dispersive electrical transport, and the memory func- tion. All results show that the CTRW process described by the WTDF (t) appears to be non- Markovian over the very broad time domain and is Markovian only in the long-time limit; in oth- er words, all results contain a single parameter n, the infrared divergence exponent, which depends on the microscopic structure of condensed matter and governs the degree of dispersion. The larger the value of n, the stronger the dispersion. When n=0, the dispersion disappears and all results reduce immediately to the classical Markovian forms. This is in agreement with some ex- perimental facts.

In this paper, a technique based on body features is employed to develop a system for sports training, healthcare and medical diagnosis through reusing huge amount of video resources, and extracting useful information from them. This technique realizes the motion capture by using existing video of human motion. The predefined human model is matched and identified with a sequence of videos. The interested feature points are tracked and calculated using relevant features of the human body. During the tracking, the human model is used for the conditional constraint and corrections. The approach is easy and quick. The efficiency of capture, stability and accuracy of the tracking are improved greatly with a low requirement for hardware specification. The 2D motion data can be generated easily and conveniently for 3D motion reconstruction in this system.

A computer modelling method for the three-dimensionaldynamic analysis of liquid crystal display cells is presented. Themethod is based on a variational approach to the Oseen-Frank freeenergy formulation considering three elastic constants and uses avectorial representation of the director field. A simpler approximateform that uses only two elastic constants but is faster to operate isobtained as a by-product of the full three-constant modelimplementation. The modelling uses finite elements on a mesh oftetrahedral elements for the calculation of directors and electricpotentials while finite differences in time are used in the time steppingprocess. Comparisons are made with results from a 2D dynamicprogram using a tensor model giving good agreement.

We present a new formulation for the dynamicmodeling of twisted nematic liquid crystal display cells based on aconstant charge assumption instead of the commonly used "fixedvoltage" model. This formulation is based on a tensor representationof the director field, which is solved using a combination offinite-element and finite-difference methods. It allows the accuratemodeling of liquid crystal pixel cells in thin-film-transistor-drivenactive matrix displays, extensively used in flat panel computer andtelevision displays.

In this paper a two-dimensional (2-D) dynamicmodel, based on a tensor formulation and solved numericallyby combining finite elements and finite differences, is proposedand used for analyzing nematic liquid crystal (LC) test cells withinterdigital electrodes. We compare theoretical and experimentalresults concerning the switching behavior, response mechanism,and viewing angle characteristics of nematic LC pixel structureswhich use the in-plane-switching (IPS) mode. The good agreementobserved between theory and experiment in terms of electroopticalproperties validates our modeling and demonstrates itspotential for design optimization. We show that the proposed LCtest cells, using the in-plane-switching mode, ensure switching-ON and -OFF response times of 22 and 28 ms, respectively, andexcellent viewing angle characteristics.