A Simulating Algorithm for Protein Folding Process
It is a difficult problem of studying the protein folding process in the protein research field. In this paper, a new simulation algorithm-snake simulation algorithm is put forward to solve the problem. In order to prove the key function in snake simulation algorithm is correct and feasible, theory of molecule oscillation and molecule kinetics are used. In addition, bring forward a model that describes the process of protein folding, concludes that all the protein structure can be constructed by two type functions. Compared with other five protein folding algorithms, the snake simulation algorithm has a great advantage in the energy and similar of protein structure.

title: Real-time Competition Simulation System
abstract: In tennis competition, there are some reasons leading to the competition results inaccurately. So I put forward a real-time competition simulation system to solve the tennis problem. It can overcome the limitations and the blind spots that occur in human observation. The system includes four parts: image collection, moving object detection and tracking, static scene simulation, competition simulation. This paper presents an algorithm for the detection and tracking of moving objects in sequence images that can be applied in simulations of tennis competition. The approach differs from most other methods that solve the problems of object occlusion and object deformation. The experimental results proved that our method is feasibility and usefulness.

title: Simulations of Protein Folding Process
abstract: A device for dispensing adhesive tape directly onto a surface includes a housing comprising a pair of spaced tear-drop shaped panels and a wall joining the peripheral edges thereof. A spool extending between the panels supports a roll of adhesive tape in rotatable fashion, with the free end thereof extending to a slot opening in the apex of the housing. A post extends between the panels medially of the roll and the slot opening. A spring member is secured to the post, one end thereof having a serrated cutting edge and anvil disposed in the slot opening, the other end impinging resiliently on the supply roll to act as a brake thereon.

title: Methods and Simulations for the Protein Folding
abstract: Corrosion of metals in contact with liquid systems is reduced by adding to the system a small amount of an amino carboxylic acid containing at least one hydrophobic group in combination with another nitrogen containing compound. The other compound is preferably an ether amine or a quaternary ammonium compound which also contain hydrophobic groups. The combination of substances is particularly useful for preventing corrosion in different areas of oil recovery and in petroleum industry.

title: Rapid and Accurate Protein Side Chain Prediction with Local Backbone Information
abstract: High-accuracy protein structure modeling demands accurate and very fast side chain prediction since such a procedure must be repeatedly called at each step of structure refinement. Many known side chain prediction programs, such as SCWRL and TreePack, depend on the philosophy that global information and pairwise energy function must be used to achieve high accuracy. These programs are too slow to be used in the case when side chain packing has to be used thousands of times, such as protein structure refinement and protein design. 
 
We present an unexpected study that local backbone information can determine side chain conformations accurately. LocalPack, our side chain packing program which is based on only local information, achieves equal accuracy as SCWRL and TreePack, yet runs 4-14 times faster, hence providing a key missing piece in our efforts to high-accuracy protein structure modeling.

title: Coordination Research on Key Parameters in Generation Competition Based on Dynamic Simulation
abstract: Power generation adequacy is critical for the reliability of electricity supply service, and therefore its investment draws much attention. This paper builds a dynamic simulation model to solve the setting of two key parameters, the energy price cap and the capacity price in the generation market, and applies this model to various cases to analyze the generation capacity development. Based on the simulation results, this paper analyzes the sensitivity of generation capacity to the key parameters. Furthermore, this paper proposes an evaluation index system for the simulation model, and discusses the correlation between the two key parameters, from the views of reliability and economy. The research shows that there might be potential unmarked misunderstandings in the setting of key parameters, and suggests that under a certain electricity bill for customers, parameter combination of low energy price cap and high capacity price should be made, in order to curb the fluctuation of generation capacity and maintain the system reliability.

title: Dynamic Equivalents of Power System Based on Extended Two Particle Swarm Optimization
abstract: A novel methodology based on phaser measurement units (PMUs) for power system dynamic equivalents is presented. In this methodology the external system is reduced dynamically using the important quantities obtained by PMUs. An extended two particle swarm optimization (PSO) algorithm with the mutation operator is proposed to identify the parameters of the equivalent system. The proposed method is demonstrated and compared with the original system using the 10 machines 39 buses New England test system. The comparison shows that the proposed method can preserve the dynamic properties of the original system and has great value in engineering application.

title: Multi-User Joint Doppler Spread Estimation in Generalized Distributed Antenna System
abstract: Generalized distributed antenna is one of the most promising architectures likely to be used in next generation mobile communication systems. In this paper, based on the architecture, multi-user co-channel interference in Doppler spread estimation is analyzed and several useful conclusions are obtained. Moreover, in order to combat this interference, a novel ACF-based multi-user joint Doppler spread estimation (M- JDSE) algorithm is proposed, taking advantage of centralized signal processing characteristic in generalized distributed antenna systems. Both theoretical analysis and simulation results demonstrate the significant performance improvement of proposed M-JDSE algorithm in multi-user environments.

title: Detecting outlying subspaces for high-dimensional data: the new task, algorithms, and performance
abstract: In this paper, we identify a new task for studying the outlying degree (OD) of high-dimensional data, i.e. finding the subspaces (subsets of features) in which the given points are outliers, which are called their outlying subspaces. Since the state-of-the-art outlier detection techniques fail to handle this new problem, we propose a novel detection algorithm, called High-Dimension Outlying subspace Detection (HighDOD), to detect the outlying subspaces of high-dimensional data efficiently. The intuitive idea of HighDOD is that we measure the OD of the point using the sum of distances between this point and itsknearest neighbors. Two heuristic pruning strategies are proposed to realize fast pruning in the subspace search and an efficient dynamic subspace search method with a sample-based learning process has been implemented. Experimental results show that HighDOD is efficient and outperforms other searching alternatives such as the naive top–down, bottom–up and random search methods, and the existing outlier detection methods cannot fulfill this new task effectively.