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.

Research into displacement cascade processes in alloy systems has received little attention, yet is potentially of interest because issuessuch as the effect of solutes on the displacement threshold and the defectdistribution and movement in cascades are important. As part of a widerstudy, we have initially considered the minor substitutional solute Au in a Cu matrix, and have used molecular dynamics to investigate the properties of point defects, the threshold displacement energy Ed, and temporal and spatial distribution of defects in low-energy (≤500 eV) displacement cascades. The results show that the influence of the solute on the properties of defects is important and that Edis dramatically different from its form in pure copper. In comparison with pure copper,the recoil of the Au solute gives rise to a higher peak at longer timesin the number of displaced atoms in the generation of a displacement cascade. The influence of this on defect density in the cascade and thefinal number and arrangement of defects has been investigated.

A soluble, but nontrivial, model of a dilute Ising ferromagnet is studied, with infinite-range in- teractions but finite average connectivity c. The density of (Yang-Lee) zeros of the partition func- tion in the complex z=exp(-2H) plane (where H is the external magnetic field in units of the tem- perature) is calculated explicitly in the high-temperature phase for large but finite c and small ]H]. The density of zeros on the unit circle H=iO has the form p(θ)～exp{-[cf(K)/]θ]ln( 1/[θ]for [01 >0. The function f(K) (K=J/73 vanishes at the critical coupling Kc(c). Heuristic arguments are given for the form of p(θ) expected for systems with short-range interactions.

In e-commerce protocols, malicious participantsmisbehave on their benefits. There is some work in analysisthe application-protocols but little similar work about thefoundation-protocols. To fill the gap we use semi-regularentities to denote the entities different from penetrators thatparticipate in the protocol on behalf of themselves such ascustomers in e-commerce. A method in strand space model isalso presented. After descriptions of hash and Diffie-Hellmanexchange, semi-regular strand and semi-regular node areadded into the model, finally is an attack on the Internet KeyExchange (IKE) protocol as a case.

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.