Real-time Competition Simulation System
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: Personalized QoS Prediction forWeb Services via Collaborative Filtering
abstract: Many researchers propose that, not only functional but also non-functional properties, also known as quality of service (QoS), should be taken into consideration when consumers select services. Consumers need to make prediction on quality of unused web services before selecting. Usually, this prediction is based on other consumers' experiences. Being aware of different QoS experiences of consumers, this paper proposes a collaborative filtering based approach to making similarity mining and prediction from consumers' experiences. Experimental results demonstrate that this approach can make significant improvement on the effectiveness of QoS prediction for web services.

title: The nature of knowledge and its influence on knowledge sharing practice: experiences from building the MACROS system
abstract: This study investigates how the interactive influences of the nature of knowledge and multiple organizational and technological factors - trust, leadership, incentives and issues, group size and variety, implementation strategy, and technology - facilitated and/or impeded the knowledge sharing processes. Using a case study approach, the research focuses on the modifying effects of four characteristics of knowledge- codifiability, context-embeddedness, practice-embeddedness, and dynamics- on the processes and outcomes of knowledge sharing in a case of building the multi-purpose access for customer relations & operational support (MACROS) system involving multiple organizations, divisions, and geographically separated offices. The case results suggest that modifying effects occurred along at least three dimensions- codifiability, context-embeddedness, and practice-embeddedness. The levels of codifiability appeared to dictate the implementation strategy; reduced context-embeddedness allowed for more effective group coordination; reduced context-embeddedness also enhanced trust; codified knowledge is more effective than uncodified knowledge in demonstrating concrete incentives; and technology interacts with context-embeddedness and practice-embeddedness. The results of this study have theoretical and practical implications for a larger set of problems encountered in sizable organizations. More specifically, even though the relevance of the nature of knowledge has been widely acknowledged by I. Nonaka, et. al. (2001), it is not always clear how it comes into play. This study conceptualized the nature of knowledge as a modifying variable, and the results provide a new and more comprehensive framework for investigating the relevance of the nature of knowledge in knowledge management research.

title: A low complexity method for real-time gaze tracking
abstract: The paper addresses a novel, fast and low complexity gaze tracking method, which remedies computation complexity and real-time processing problems of most existing gaze tracking methods. Face images are captured and pre-processed under infrared lamp-houses with dual thresholds. Pupil area is verified by the run-length in eight directions, and the gaze point is located by mapping the vectors of pupil and reflection point or using neural network. The experimental results show that the real-time processing of gaze tracking, with high resolution and high accuracy simultaneously, is achieved in this new system.

title: Motion segmentation of multiple translating objects from line correspondences
abstract: This paper presents an analytic approach to motion segmentation of multiple translating objects from line correspondences in three perspective views. The basic idea of our algorithm is to view the estimation of multiple translational motions as the estimation of a single, though more complex, multibody motion model that is then factored into the original models by polynomial differentiation. Experimental results on synthetic and real scenes are presented.

title: Multi-Index Cooperative Mixed Strategy for Service Selection Problem in Service-Oriented Architecture
abstract: Under the environment of Service-Oriented Architecture (SOA), service users have to decide how to choose the proper provider from the candidates to obtain optimal service level. The existing approaches based on the optimization theories usually ignore the decision conflicts among users, which result in periodic QoS fluctuation and poor system performance. This paper treated the service selection problem as an inconstant-sum non-cooperative n-person dynamic game with incomplete information. The mechanism that generated the decision conflicts is discussed at first, and then Multi-index Cooperative Mixed Strategy (MCMS) with corresponding algorithm for finding its optimal solution is developed. Simulation shows that MCMS offers service users an optimal strategy that reduces the fluctuation of QoS and improves performance of SOA. Moreover, the stability and equilibrium of MCMS make it acceptable to most of the users, thus MCMS is able to improve predictability and controllability of SOA significantly.