ASIA SIMULATION CONFERENCE 2009
JSST 2009

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Organized Sessions
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Session Title & Organisers

Session Title: OS1: Brain Simulation
Session Organisers: Ikuko Nishikawa and Katsunori Kitano, Ritsumeikan University
Target audience: Researchers in computational neuroscience, system biology and computational biology
Objectives of the session: Simulation approach is indispensable in the field of computational neuroscience, which is now making a rapid progress based on the recent accumulation of the experimental findings. Moreover, the current huge computational power enables a large-scale simulation of the neural networks. This organized session focuses on the computational modeling and simulation approach in computational neuroscience. The target system ranges from a single neuron, local circuit and neural network up to a whole brain, to bring together the researchers in these fields and exchange the new ideas, trends, current research results and the application issues.

Session Title: OS2: Monte Carlo Method for Particle Transport and Its Applications
Session Organisers: Makoto Asai, SLAC National Accelerator Laboratory
Target audience: Developers and users of Monte Carlo codes for particle transport
Objectives of the session: Numerical experimentation (also referred to as numerical modeling or numerical simulation) has established its validity in scientific research. Scientific theories can be examined by numerical experiments. Compared to real experiments, they are not only less expensive, safer and flexible but also more informative and accessible to wider experimental conditions. Analysis of numerical experiments guide the selection and design of the real experiments best suited to validating theories.
In general there are two approaches in numerical experimentation, deterministic methods and Monte Carlo method. Deterministic methods involve solution of an integral or a differential equation that describes the dependence on spatial coordinates or time of some behavioral characteristic of the system in question. The Monte Carlo method involves calculating the average or probable behavior of a system by observing the outcomes of a large number of trials at a game of chance that simulates the physical events responsible for the behavior.
The Monte Carlo method was first applied on the MANIAC computer at Los Alamos National Laboratory to predict the rate of neutron chain reactions in fission devices. Now, half a century later, Monte Carlo method is widely used for simulation of particle transport, and its applications range from physics to space engineering and medicine. In this session, the focus is on such Monte Carlo codes for particle transport, and also on their applications.

Session Title: OS3: Simulation of Gaseous Detectors for HEP Experiments
Session Organisers: Ketevi A. Assamagan, Brookhaven National Laboratory
Target audience: People with an interest in the simulation, design, and operation of High Energy Physics experiments
Objectives of the session: Gaseous detectors play a crucial role in particle physics. In most cases, these chambers serve a dual purpose, providing information on both the energy loss and the spatial coordinates of the particles. Given the complexity of the experimental setups in HEP experiments, a detailed simulation of the detector response to incoming particles is crucial for several reasons: it allows the comparison to the theoretical predictions to extract the physics observables, it helps to design and optimize the detector itself, it provides the input for development and test of reconstruction and analysis programs.
The objective of this session is to offer an overview of the status of the simulation of gaseous detectors in some of the current and future detectors for particle physics detection, from LHC to SuperLHC and ILC.

Session Title: OS4: Grades Assessment of Damaged Equipment Based on Bayesian Method
Session Organisers: Yuefeng Chen, Engineering Institute of Armored forces
Target audience: Researcher of system engineer and system simulation
Objectives of the session: The session aim to provide a method to assess grade of damaged equipment through model combining bayesian network and bayesian decision.

Session Title: OS5: The Research on Situation Assessment for Automatic Flight Control System
Session Organisers: Cao Lu, Zhang An and Guo Feng-juan, Northwestern Ploytechnical University
Target audience: Complex systems modeling and simulation Intelligent command
Objectives of the session: Automatic flight control system (AFCS) is an inevitable trend of the future intelligent and uninhabited flight platform. Situation assessment (SA) is an effective method to solve the problem of the autonomous decision-making in autonomous piloting. The concepts, contents and process of SA are put forward. Then the methods about the implementation of SA are introduced and analyzed. And finally the application of SA to AFCS is considered. Especially SA based on Bayesian Networks (BN) is applied to it, and BN Model of SA for AFCS is propounded. Therefore application of SA to AFCS should be effective for automation and intelligence of the decision-making process.

Session Title: OS6: Visualization/VR
Session Organisers: Satoshi Tanaka, Ritsumeikan University and Koji Koyamada, Kyoto University
Target audience: Researchers of any field who are interested in visualizing processes/results of simulation, using techniques of CG/VR. Researchers of CG/VR/Visualization as simulation.
Objectives of the session: VR (Virtual Reality) and Visualization play important roles in various kinds of computer simulation. In fact VR and Visualization are keys for us to understand processes and results of computer simulation. It should also be noted that VR and Visualization is also a kind of simulation, and so they should be further developed with the light of simulation technology. In this organized session, we welcome papers on VR/Visualization "of" simulation and VR/Visualizaton "as" simulation. Papers of this session can be either on scientific/engineering fields or social science.

Session Title: OS7: The technology and evaluation of Vehicle simulator for professional and educational use
Session Organisers: Hisayoshi Ikeda, Fujitsu Ltd. SaaS Business Unit
Target audience: Person who takes interest on gTrain simulatorh and practical application method.
Objectives of the session: Organizer will demonstrate and present as follows. (1) Train simulator using valuable-speed playback technology for high definition video shot on actual train lines, the first use of this technology in a train simulator. (2) The evaluation for using train simulators for professional training, and educational use in Japan. (3) Future possibility of vehicle simulator coordinate with next generation technology such as video compression (h.264).

Session Title: OS8: Dynamic analysis of discrete-time neural networks
Session Organisers: Baotong Cui, Jiangnan University and Ru-Liang Wang, Guangxi Teachers University
Target audience: Postgraduates and experts who are interested or expert in neural network models and artificial intelligence
Objectives of the session: The goal of this session will be to identify common elements and challenges for associations in working more closely on the dynamic analysis of neural network models, with or without time delays, such as stability analysis, state estimation, periodicity, capacity of stable periodic solutions and associative memory. This will be the impetus for an active discussion which will formulate significant guidance on better comprehension of discrete-time neural networks.

Session Title: OS9: Multi-Agent System Architecture of Formation Behavior of Airplanes
Session Organisers: Liu Yue-feng, Northwestern Polytechnical University
Target audience: Multi-Agent Systems(MAS), Distributed Artificial Intelligence (DAI), system simulation, High Level Architecture (HLA), airplane formation behavior
Objectives of the session: Multi-agent theory is a research focus of DAI, and it provides a new research way for complex system. Formation behavior of airplanes a typical complex system. We will study the Multi-Agent System (MAS) architecture of airplane formation behavior. Features of airplane formation will be analyzed, and the characteristics of MAS and its applications will be expounded. We will build the MAS architecture based on High Level Architecture (HLA). The command and control system of the airplane formation is the analyzing focus of this system. Based on the system architecture, we will carry out simulation of airplane formation with HLA/RTI and agent communication language KQML. The architecture of MAS will provide groundwork for further research on airplane formation.

Session Title: OS10: Virtual Prototyping
Session Organisers: Zhang Lin, Song Xiao, Beijing University of Aeronautics and Astronautics and Fan Wenhui, Tsinghua University
Target audience: Researchers in Virtual Prototyping of Complex Products
Objectives of the session: Virtual Prototyping (VP) of products is an important application technology of simulation. With VP technology, we can design, analyze, emulate and evaluate products in digital environment. The session is to provide an opportunity for researchers to share their recent research fruits together.