Search

The traditional virtual human running research method completes the motion analysis under the ideal state, which lead to cannot obtain the accurate kinematic stability and the coincidence rate of the trajectory curve of the gravity center. To address these problems, the virtual human running research method based on cyclic-coordinate descent (CCD) algorithm is proposed in this paper. The skeleton driver is constructed based on CCD algorithm and the virtual human skeleton model is built. The running state of virtual human is analyzed through multi-joint movement, and the constraint equation of virtual human running is constructed to realize the data simulation of the running movement of virtual human. By using the skeleton model and constraint equation, the kinematics of virtual human is solved. The gravity center trajectory is calculated by using matrix transpose algorithm. Combining with the virtual human upper body movement and the parameters extraction of specified path running, the research of virtual human running based on CCD algorithm is realized. Experimental result show that the proposed virtual human running method improves the kinematic stability by 45.81% compared with the traditional method, and the coincidence rate of the gravity center trajectory is increased by 63.42%.

Internet traffic classification plays an important role in network management. Many approaches have been proposed to classify different categories of Internet traffic. However, these approaches have specific usage contexts that restrict their ability when they are applied in the current network environment. For example, the port based approach cannot identify network applications with dynamic ports; the deep packet inspection approach is invalid for encrypted network applications; and the statistical based approach is time-consuming. In this paper, a novel technique is proposed to classify different categories of network applications. The port based, deep packet inspection based and statistical based approaches are integrated as a multistage classifier. The experimental results demonstrate that this approach has high recognition rate which is up to 98% and good performance of real-time for traffic identification.

Solution derived thin films of molar composition 90SiO2−10TiO2deposited on c-Si substrates, for use as planar waveguides are characterized in terms of thickness and refractive index, by ellipsometry, as a function of isothermal heat treatments. The structural evolution of the films with thermal treatment is followed by infrared spectroscopy. The estimated average Si−O−Si intertetrahedral bond angle increases from 137°, at room temperature, to 144°, after heating at 900°C. The films should be annealed atT>800°C, in order to release the residual stresses.

Assembly On-orbit is a modular design idea to solve the problem of the super-large-aperture space telescope realization. The sub-mirror modules of the spliced primary mirror require precise installation and positioning to meet the optical and structural requirements. A docking locking device for sub-mirror modules of Assembled telescope is developed in this paper. The structure, working principle and component selection of the device are described, and the key parameters of the positioning and locking mechanism are designed. The experimental results show that the repeatability XYZ of the docking locking device is better than ±0.02mm, the locking force is not less than 2000N. The device is accurately positioned and locked reliably, meeting the installation requirements of the sub-mirror module, and providing a precise benchmark for the later active optical adjustment of the assembled telescope sub-mirror module.

In order to classify spare parts by machine learning method, it is necessary to reduce the dimension of spare parts because of the large number of characteristic indexes. An improved dimensionality reduction method for local preserving projection is presented in this paper. The model optimizes the parameters in local preserving projection dimensionality reduction by using kernel function parameter estimation method. The accuracy and efficiency of dimension reduction classification model are improved. Finally, through an example analysis, the simulation results show that the proposed dimension reduction method can solve the problem of spare parts classification better. It also improves the accuracy and efficiency of traditional classification methods.

Antiplatelet agents are widely used in patients with coronary artery disease for the prevention of thrombotic events. However, individual responsiveness to antiplatelet agents is greatly varied, which is deemed as one of the most important risk factors for adverse clinic events, such as thrombosis and bleeding. Although studies on this aspect have lasted for more than a decade, the appropriateness of responsiveness variability monitoring and management for antiplatelet treatment remains controversial. Based on current clinical evidence, expert recommendations by a working group of Chinese Society of Cardiology of Chinese Medical Association were released focused on the methodology, clinical interpretation, and appropriateness of antiplatelet responsiveness variability monitoring and management.

Galaxy angular momentum directions (spins) are observable, well described by the Lagrangian tidal torque theory, and proposed to probe the primordial universe. They trace the spins of dark matter halos, and are indicators of protohalos properties in Lagrangian space. We define a Lagrangian spin parameter and tidal twist parameters and quantify their influence on the spin conservation and predictability in the spin mode reconstruction in N-body simulations. We conclude that protohalos in more tidal twisting environments are preferentially more rotation-supported, and more likely to conserve their spin direction through the cosmic evolution. These tidal environments and spin magnitudes are predictable by a density reconstruction in Lagrangian space, and such predictions can improve the correlation between galaxy spins and the initial conditions in the study of constraining the primordial universe by spin mode reconstruction. [ABSTRACT FROM AUTHOR]