In this paper, neural network technique(NNT) is applied to estimation of chloride diffusion coefficient, which has been used for strength evaluation and concrete mixing design. Rapid chloride diffusion test is performed for concrete with 3 different w/c ratios (0.37, 0.42, and 0.47) and various mineral admixtures such as GGBFS, FA and SF. Regarding 120 obtained diffusion coefficients, NNT is applied and diffusion coefficients are simulated. Utilizing the technique, chloride behavior in concrete is evaluated through FE model based on Multi-Component Hydration Model and Micro Pore Structure Formation Model. The simulated results are verified with the previous test results which have been exposed to sea water for 6 months.

MMORPG (Massively Multiplayer Online Role Playing Game) 시장은 급격히 증가하고 있으며 더불어 많은 발전을 이루고 있다. 하지만 그와 동시에 많은 게임 피해사례들이 증가하고 그 사례 또한 매우 다양화되고 있다. 그 중에서도 '봇(Bots)'은 사용자의 조작 없이 자동으로 작동하면서 게임의 몰입도 뿐만 아니라 보안 측면에서도 맡은 영향을 주고 있다. 따라서 게임 제공 업체에서는 클라이언트 단에서 packet을 분석하여 봇를 분별하려 하지만 클라이언트 단에는 사용자의 조작이 용이하므로 그 정확성이 떨어진다. 본 논문에서는 게임 서버 내에서 얻을 수 있는 사용자의 행동 데이터를 분석함으로써 실제 사용자 및 봇의 행동 패턴을 모델링하고 이를 비교하여 봇 검출에 적용하는 방법을 제안한다. 이 방법을 이용하여 보다 향상된 비교 모델을 완성 하였다.

We have proposed modeling methods of mariners' standard behavior for collision avoidance by analyzing mariners' recognition process in a previous study. As a subsequent study, the aim of this study is to build a model of mariners' execution process which is one of six processes in the condition of collision avoidance. In this study, thus, the structure of mariners' information processing on the process of taking avoiding actions is described and the relation between mariners' behavior and necessary factors in the process is analyzed. And then we have built a model of mariners' standard behavior for execution process based on the characteristics of mariners in ship-handling, which are obtained from the international collaborative research on human factors. It is tried to define the contents of execution process based on the standard behavior of mariners for collision avoidance and to formulate information processing of mariners.

We've investigated the characteristics on mariner's behavior in the collision situation through a full-mission ship handling simulator and considered that it's necessary to model the standard avoiding behavior of mariners in order to apply the obtained results more widely and effectively. Thus we described the contents of standard avoiding behavior taken by mariners in the collision situation and established the concept of the standard model based on human factors for collision avoidance in a previous study. As a following study, this paper is to propose the method of modeling on mariners' standard behavior for collision avoidance by analyzing the contents of mariner's information processing and the related factors using regression analysis. As a result, we confirmed the influence of relating factors to avoiding behavior in mariner's deciding decisions and proposed the modeling method of mariners' standard behavior for collision avoidance with a example of recognition model.

Human factors have been considered the primary reason of marine accidents. Especially, the collision between vessels is mostly mused by human behavior. However, there have not been many researches to clarify the reason of marine accidents mused by human factors quantitatively. In order to understand human factors and to enhance safe navigation systematically, using a full mission ship-handling simulator, we've investigated the characteristics of avoiding behavior taken by mariners. Further in order to apply the characteristics more widely and effectively, it's necessary to formulate the standard behavior for ship-handling in the condition of collision avoidance. Is this study, therefore, we intended to propose the concept to model the mariner's standard behavior on the handling of collision avoidance as the first step. As a result, we confirmed the contents of information processing in ship-handling that mariner's generally taking to avoid collision.

본 연구의 목적은 자기 모델링 기법을 통한 교수행동변화를 알아보고, 교생의 교수행동에 대한 구체적 자료를 체계적으로 관찰, 제시하는데 있다. 연구대상은 중·고등학교 체육교생 4명(남자 3, 여자 1)으로 선정하였고, 연구기간은 교생실습기간(참관학습 1주를 제외) 3주간에 걸쳐 이루어졌다. 관찰된 교수단원은 구기종목(농구, 소프트볼)과 체조(무용), 육상(단거리 달리기, 멀리뛰기)이었다. 교생의 교수행동은 소형 비디오 카메라를 이용한 비디오촬영과 Sharpe와 Koperwas(2001)에 의해 개발되어진 행동분석 관찰프로그램인 컴퓨터 소프트프로그램(BEST)을 이용하여 관찰 분석되었다. 수집된 교생교수 행동 자료는 빈도와 강도(지속시간)에 의해서 분석되었고, 그 결과는 다음과 같다. 자기 모델링 기법의 처치 효과를 나타내는 처치전과 처치단계의 수업관련부분에서 관찰영역을 제외한 영역의 교수 행동 빈도와 강도 또한 효과적인 것으로 나타났다. 또한, 처치효과의 지속성을 나타내고 있는 처치후의 교수행동 또한 처치 전과 비교하였을 때, 수업관련 부분에서 관찰영역을 제외한 영역에서 다소 높거나 동일한 수준의 빈도와 강도(지속시간)수준을 보였다.