• Journal of the Korea Society for Simulation
• /
• v.19 no.2
• /
• pp.91-98
• /
• 2010

Conventional path-finding has focused on finding short collision-free paths. However, as computer games become more sophisticated, it is required to take tactical information like ambush points or lines of enemy sight into account. One way to make this information have an effect on path-finding is to represent a heuristic function of a search algorithm as a weighted sum of tactics. In this paper we consider the problem of learning heuristic to optimize path-finding based on given tactical information. What is meant by learning is to produce a good weight vector for a heuristic function. Training examples for learning are given by a game level-designer and will be compared with search results in every search level to update weights. This paper proposes a learning algorithm integrated with search for tactical path-finding. The perceptron-like method for updating weights is described and a simulation tool for implementing these is presented. A level-designer can mark desired paths according to characters' properties in the heuristic learning tool and then it uses them as training examples to learn weights and shows traces of paths changing along with weight learning.

• The Journal of the Korea Contents Association
• /
• v.18 no.8
• /
• pp.9-17
• /
• 2018

Heterogeneous high performance computing systems are gaining acceptance as the environments for computational scientific simulations of various application fields. Those computing systems, however, have been mostly used with the legacy consoles, resulting in the severe decrement of accessibility and usability of heterogeneous computing assets. To solve this problem, this paper presents the design and implementation of web-based computational science simulation management program. The proposed program provides fundamental primitives including user authentication, data management, physical/virtual computing resource management, job management, etc. that can be used to manage different kinds of simulations efficiently, and also offers highly extensible feature through a modular plug-in architecture. We also present the best practical examples of applications (e.g., scientific simulation education and bio-medical) to confirm our program's effectiveness.

• Journal of the Korea Society for Simulation
• /
• v.25 no.4
• /
• pp.13-20
• /
• 2016

Microsimulation model has aimed to simulate the impact of policy at the level of individual and household. Recently, microsimulation model has been widely accepted in OECD countries for evaluating their economic and social policies. For improving the availability of microsimulation model, the population data which shows good accordance with the official statistics should be required. In this paper, we generate Korean synthetic populations by using the iterative proportional updating method. For the validation of Korean synthetic populations, we compute the difference between the generated synthetic populations and the summary table of Korean census. Then, we confirm that it shows good accordance with the summary table.

• Journal of the Korea Society for Simulation
• /
• v.27 no.3
• /
• pp.1-11
• /
• 2018

Discrete event system specification (DEVS) has been used in many simulations including hybrid systems featuring both discrete and continuous behavior that require a lot of time to get results. Therefore, in this study, we proposed the acceleration of a DEVS-based hybrid system simulation using multi-cores and GPUs tightly coupled computing. We analyzed the proposed heterogeneous computing of the simulation in terms of the configuration of the target device, changing simulation parameters, and power consumption for efficient simulation. The result revealed that the proposed architecture offers an advantage for high-performance simulation in terms of execution time, although more power consumption is required. With these results, we discovered that our approach is applicable in hybrid system simulation, and we demonstrated the possibility of optimized hardware distribution in terms of power consumption versus execution time via experiments in the proposed architecture.

• Proceedings of the Korean Information Science Society Conference
• /
• 2002.04a
• /
• pp.40-42
• /
• 2002

캐쉬 일관성 유지 프로토콜은 공유 메모리 다중 프로세서 시스템의 정확하고 효율적인 작동에 중요하다. 시스템이 점점 복잡해짐에 따라 시뮬레이션 방법만으로는 프로토콜의 정확성을 확인하기는 어렵다. 본 논문에서는 CC-NUMA용 디렉토리 기반 캐쉬 일관성 프로토콜인 RACE 프로토콜을 정형기법 도구인 ESTEREL을 이용하여 프로토콜이 안정적으로 동작함을 검증하였다.

• Computational Structural Engineering
• /
• v.17 no.2
• /
• pp.24-30
• /
• 2004

21세기에 들어서면서 구조설계최적화 알고리듬이 성숙 단계에 이르렀다. 이 단계에 도달하기까지 설계최적화와 관련한 매우 다양한 개념이 소개되었으며 이러한 개념은 구조물의 성능을 향상시키기 위한 컴퓨터 시뮬레이션 도구의 개발로 이어지고 있다. (중략)

• Korea Multimedia Society
• /
• v.5 no.1
• /
• pp.87-95
• /
• 2001

정보기술 기반의 사회를 맞이하는 시점에서 멀티미디어를 기반으로하는 정보화 사회(Information Society)와 지식기반 사회(Knowledge-based Society)는 현재와 미래를 규정하는 거시적 패러다임으로 인식되고 있다. 정보 기술 사회(Information Technology Society)로 정착해 가는 시점에 처해 있는 우리 사회는 농경 사회와 산업 사회의 논리로는 도저히 해석되지 않은 각종의 시스템 시뮬레이션 모델들이 끊임없이 제시되고 있으며, 그것이 실제로 실현되는 가히 혁명적인 상황 속에 놓여 있다.(중략)

• Journal of Satellite, Information and Communications
• /
• v.11 no.4
• /
• pp.74-80
• /
• 2016

In this paper, the modeling and implementation results of the operational test and evaluation tool of the KASS up-link station composed of the GEO(Geostationary Earth Orbit) satellite signal analysis tool model that analyzes the GEO satellite signal and the GEO message analysis tool model that analyzes the GEO satellite navigation message. In addition, we describe the results of software modeling and implementation of some software models of GEO satellite and KASS up-link stations that can generate and provide simulated signals to operational test and evaluation tools of these KASS up-link stations.

• The Journal of the Korea Contents Association
• /
• v.12 no.2
• /
• pp.472-482
• /
• 2012

There are many investors in the stock market, and more and more people get interested in the stock investment. In order to avoid risks and make profit in the stock investment, we have to determine several aspects using various information. That is, we have to select profitable stocks and determine appropriate buying/selling prices and holding period. This paper proposes a data mining tool for the investors' decision support. The data mining tool makes stock investors apply machine learning techniques and generate stock price prediction model. Also it helps determine buying/selling prices and holding period. It supports individual investor's own decision making using past data. Using the proposed tool, users can manage stock data, generate their own stock price prediction models, and establish trading policy via investment simulation. Users can select technical indicators which they think affect future stock price. Then they can generate stock price prediction models using the indicators and test the models. They also perform investment simulation using proper models to find appropriate trading policy consisting of buying/selling prices and holding period. Using the proposed data mining tool, stock investors can expect more profit with the help of stock price prediction model and trading policy validated on past data, instead of with an emotional decision.

• Journal of the Korea Society for Simulation
• /
• v.28 no.2
• /
• pp.15-22
• /
• 2019

Simulation methods are being studied for various service models that can be used in industries as the development of web technology. DEVS is being used as a tool to simulate through scenarios using various information. In addition, DEVS/WS integrates web-based DEVS models through a distributed computing environment and can be used as tools for high-performance computing and data distribution. This paper describes a method for simulating an intelligent transportation system in DEVS/WS environment. This paper propose dynamic interest management model(DIMM) applied the genetic algorithm, manage efficiently road information of moving node. And, this paper evaluates performance of the dynamic interest management model in comparing to the none interest management model(NIMM). The transmitted messages and simulation time of the DIMM is saved than that of the NIMM.