• 한국자동차공학회논문집
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• 제10권2호
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• pp.132-140
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• 2002

A momentum backpropagation neural network is prepared to carry out real-time dynamics simulations of a passenger car. A full-car model of fifteen degrees of freedom was constructed for vehicle dynamics analysis. Human body dynamics analysis was performed for a male driver(50 percentile Korean adult) restrained by a three point seatbelt system. The trained data using the neural network were obtained using a dynamic solver, ADAMS . The neural network were formed based on the dynamics of the simulator. The optimized hidden layer was obtained by selecting the optimal number of hidden layers. The driving scenario including bump passing and lane changing has been used for the estimation of the proposed neural network. A comparison between the trained data and neural network outputs is found to be satisfactory to show the applicability of the suggested approach.

• 한국시스템다이내믹스연구
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• 제11권3호
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• pp.105-126
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• 2010

The ecology of house swallow is closely related to the humans life because their life depend on the human settlements conditions and environments. 30 years ago house swallows are very common at the country side, but recently they are very rare. Almost the number of house swallows decrease as 1 of hundredth during 20 years. Why this dramatic population decrease are happening in the ecology of house swallow? The Population size impacted by many factors such as nesting, breeding, feeding, returning. The objective of this paper is to analyse the population dynamics of the ecology of House Swallow. This paper focuses on the important ecological changes-nests, foods, and return rates from wintering area-associated with recent country side development. In this paper, we explore the feedback loops of population dynamics and simulate the policy scenario model.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.3-8
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• 1998

Using GIS and socio-economical data the relationship between human activities and global environmental change Is Analysed from the view point of food productivity and CO2 emission. Under the assumption that the population problem, the food problem and global warming due to energy consumption can be stabilized through managing land use, impacts of human activities such as consumption of food, energy and timber on global environment changes, and global population capacity are Analysed using developed system dynamics model in the research. In the model the world is divided into two groups: OECD countries and the others. Used global land use data set Is land cover map derived from satellite data, and potential distribution of arable land is estimated by the method of Clamor and Solomon which takes into consideration spatial distribution of climate data such as precipitation and evapotranspiration. In addition, impacts of CO2 emission from human activities on food production through global warming are included in the model as a feedback. The results of the analysis for BaU scenario and Toronto Conference scenario are similar to the results of existing models. From the result of this study, the human habitability in 2020 is 8 billion people, and CO2 emission in 2020 based on BaU Scenario and on Toronto Scenario is 1.7 and 1.2 times more than the 1986's respectively. Improving spatial resolution of the model by using global data to distribute the environmental variables and sauce-economical indices is left for further studies.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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• pp.328-332
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• 2006

Inspection in the back end of the LCD is moving from human based to automated. This is driven by the desire to eliminate human operators and the need to have repeatable, reliable data for fab optimization. The number of systems required varies by the fab module location, product mix, and repair capability.

• 전자공학회논문지SC
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• 제49권1호
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• pp.20-28
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• 2012

보행을 관찰하고 객관적인 정보를 추출하여 그 기능을 평가하는 것을 보행 분석이라고 한다. 최근 사용되는 보행 측정 장비들은 다수의 카메라, 지면 반력 측정 장치로 구성되어 고가이며, 이를 설치할 넓은 장소를 필요로 한다는 단점이 있다. 본 연구에서는 이러한 문제점을 해결하기 위해 단일 카메라를 통해 얻은 영상에서 마커 없이 인체의 3차원 보행 동작을 측정하는 기법을 제안한다. 파티클 필터를 사용하여 훈련 데이터와 보행에 관한 사전 정보 없이 사람의 동작을 추적한다. 인체와 지면에 관한 동역학을 통해 물리적으로 합당한 인체의 동작들을 생성하였다. 보행 영상에서 계산한 모든 관절의 평균 에러는 제안한 방법에서 $12.4^{\circ}$로, 기존 파티클 필터의 에러 $34.6^{\circ}$보다 작았다. 이러한 결과를 바탕으로 단일 카메라만으로 보행을 정량적으로 측정하여 기존 복잡한 장비를 대체할 수 있는 가능성을 제시하였다.

• 국제초고층학회논문집
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• 제1권2호
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• pp.107-116
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• 2012

The overarching objective of this study is to predict the convective heat transfer around a human body under forced strong airflow conditions assuming a strong wind blowing through high-rise buildings or an air shower system in an enclosed space. In this study, computational fluid dynamics (CFD) analyses of the flow field and temperature distributions around a human body were carried out to estimate the convective heat transfer coefficient for a whole human body assuming adult male geometry under forced convective airflow conditions between 15 m/s and 25 m/s. A total of 45 CFD analyses were analyzed with boundary conditions that included differences in the air velocity, wind direction and turbulence intensity. In the case of approach air velocity $U_{in}=25m/s$ and turbulent intensity TI = 10%, average convective heat transfer coefficient was estimated at approximately $100W/m^2/K$ for the whole body, and strong dependence on air velocity and turbulence intensity was confirmed. Finally, the formula for the mean convective heat transfer coefficient as a function of approaching average velocity and turbulence intensity was approximated by using the concept of equivalent steady wind speed ($U_{eq}$).

• 한국시스템다이내믹스학회:학술대회논문집
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• 한국시스템다이내믹스학회 2007년도 춘계학술대회 발표논문집
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• pp.113-129
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• 2007

Due to criminal aspects spreading nation wide, their intelligence level increasing and becoming digitalized, the citizens' interest in and desire for crime security have increased. Until now, the preceding researches have been focused on finding the specific variables that have direct effects on the demand for police manpower through regression analysis and attempted to predict number of needs. However, there have never been any researches producing the accurate number of demands for crimes and human resources needed for each work load. Therefore, this research have analyzed each police station functions by interviewing the persons in charge and selected the main duty for each functions. From this, by using the method of system dynamics, this research was able to predict the standard number of manpower needed for each police station functions. Also, by making a model for each 235 police stations, the best efficient employment plan for police stations and district agencies have been further discussed based on the computer simulation results.

• 한국시스템다이내믹스연구
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• 제10권4호
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• pp.27-37
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• 2009

This study has been performed to consider how to support to be effectively linked hiring of skilled human resources that were discharged through actually related education programs, as demand of they are recently being increased due to the expansion of the logistics market, and effort to train them is being propelled. That is associated with the Busan region, and field of logistics service is 3PL that is seriously considered the area of professional services at the last logistics market. Through the methodology of System dynamics, this study has been modeled about dynamic mechanism considered the growth of logistics marker and relation to employment, and has been estimated about ripple effect within logistics market of major policies related with them.

• 환경생물
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• 제25권2호
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• pp.158-167
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• 2007

내설악 전나무림 현황을 조사하고 이를 통하여 산림 생태계 이해방식을 비판적으로 고찰하였다. 조사는 1996년부터 2006년까지 수행된 것으로 일종의 중간보고서로 작성하였다. 임분의 수직구조 위주로 조사하였으며 비록 내설악 전나무림에 한정된 것이기는 하나 고전 천이론 보다는 Stand dynamic이 산림생태계를 설명하는데 적합하다는 것을 확인할 수 있었다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.70-73
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• 1996

Many researchers had considered biological systems as linear systems. In many cases of biological systems, the phenomena that show the regular and periodic dynamics are considered the normal state. However, some clinical experiments reported, in some cases, the periodic signals represented the abnormal state. We assume that signals from human body system are generated from deterministic, intrinsic mechanisms and can be represented a simple equation that show nonlinear dynamics dependent on control parameters. The objective of our study is to model a nonlinear dynamics correctly from the nonlinear time series using the genetic programming method; to find a simple equation of nonlinear dynamics using collected time series and its nonlinear characteristics. We applied genetic programming to model RR interval of ECG that shows chaotic phenomena. We used 4 statistic measures and 2 fractal measures to estimate fitness of each chromosome, and could obtain good solutions of which chaotic features are similar.