• Fire Science and Engineering
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• v.30 no.2
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• pp.92-97
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• 2016

The present study has been conducted to estimate the chemical flame height based on fuel consumption in fire field model. The calculation algorithms based on cumulative fraction of HRRPUL and fuel concentration along the z axis were applied to the results predicted by Fire Dynamics Simulator (FDS) version 6.3.2 and the mean chemical flame height was obtained by time averaging of instantaneous flame height with the algorithms. The mean flame height calculated by fuel concentration was quite well matched with that of cumulative value of HRRPUL within 10% over-prediction. This study contribute to a more detailed understanding of fire behavior and quantitative evaluation of flame height in the computational fire model.

• Journal of Advanced Marine Engineering and Technology
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• v.37 no.8
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• pp.953-961
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• 2013

In this study, the analyzed turbine is a 5MW upwind-type wind turbine. This conceptual model was made to compare the results of the numerical analysis program in the IEA Annex23 Subtask2 OC3 project. The numerical analysis program used in this study is FAST developed by NREL and AQWA of ANSYS. Motion characteristics, such as RAO, average motion, significant motion and average amplitude of 1/10 highest motion were obtained through the numerical analysis. The results of the numerical analysis were compared with the results of other numerical analyses and the experimental results, and all the results agreed with one another. The results will help resolve the fundamental design trade-offs between basic floating system concepts.

• Journal of Digital Contents Society
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• v.15 no.1
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• pp.113-120
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• 2014

In recent years, devices using the smart ponwa IT service is activated, to research how the fusion of two or more devices will be able to be interest in the soybeans. One of them in the mobile sector through the development of network and hardware digital geo-spatial map of the rapid advances being made and the computer, how do you map data to efficiently simulate a 3D environment, providing services through a virtual environment focused on whether be. In this study, augmented reality and GIS (Geographic Information System), SLM (Static LOD Model) that combines augmented reality technology on the basis of the basic concepts and approaches in geographic space and how Augmented Reality Based on this interpretation of the relevant content What to do in the development and utilization has a purpose. In this study, the conventional SLM 3DS model data structure of a data format conversion of the proposed possibilities for analyzing and, SLM model generation and format of the existing three-dimensional visualization tools SLM model format for converting a format to a model function, and visualization features. In addition, 3D virtual model to propose a format for efficiently making.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.289-289
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• 2023

4차산업 혁명이 도래한 이후로 전세계적으로 AI 기술이 유래 없는 속도로 발달 및 활용되고 있으며, 다양한 분야에서 AI 기법을 도입한 연구가 활발히 진행 중에 있다. 최근 수자원 분야에서는 단기 강우 예측, 댐 유입량 예측 및 하천 수위 예측 등의 분야에서 AI 기술이 접목되어 꾸준한 기술 개발이 이루어지고 있다. 그러나 단변량으로 축척된 자료를 활용하여 중·장기 모형 개발 연구가 다수 진행되고 있지만, 급격한 기후변화 현상과 복잡한 매커니즘을 보이고 있는 기상현상의 경우 단변량 분석으로서는 정확도가 저하 될 수 있는 우려가 있는 것이 현실이다. 이에 본 연구에서는 상기에 제시된 단점을 극복하고자 다양한 기상자료를 검증·예측인자로 활용함과 동시에 Deeplearning 모형과 결합하여 신뢰성 있는 단기 강수 예측이 가능한 모형을 개발하였다. 본 연구에서는 유럽중기예보센터(ECMWF, European Center for Medium-Range Weather Forecasts)에서 제공하고 있는 ERA5 재해석 자료를 활용하였으며, Deeplearning 모형과 결합하여 단기 강우 예측이 가능한 모형을 개발하였다. 1차적으로 격자자료(25km×25km)로 제공되고 있는 ERA5 자료를 상세화(downscaling) 모형에 적용하여 기상청 관측소와 비교·검증하였으며, Deeplearning 모형을 통해 단기 예측이 가능한 모형으로 확장하였다. 이때 Deeplearning의 다양한 모형 중 시계열 분석에 있어 예측 성능이 높은 LSTM 모형을 활용하였으며, 제공되고 있는 대기 변수의 상호관계를 노드간 연결을 통해 결과의 정확도와 신뢰성을 확보하였다. 본 연구 결과는 기관별로 제공하고 있는 예측 수준을 상회하는 결과를 도출하였으며, 홍수기에 집중되는 강우량을 예측하여 대비·대책을 선제적으로 마련할 수 있는 자료로써의 활용성이 높을 것으로 사료된다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.4
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• pp.61-68
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• 2010

Appling high technology of aerospace to automobile, so it is able to progress safety which is a goal of future automobile and to approach development of self-control automobile. This is realized dynamic model of airplane at DFCS(Digital Flight Control System). The DFCS calculates control values for self-control flight. If this high technology applies to automobile, then it is able to be maneuvered automobile like UAV's self-control flight. In this paper is reanalyzed automobile dynamic applied load control model used high-tech of airplane. It analyzes riding comfortable according to movement of automobile using the load control model, presents method of solution for improvement riding comfortable and presents example of self-control system used the load control model for self-control driving.

• Information and Communications Magazine
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• v.31 no.2
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• pp.83-90
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• 2014

본고에서는 센서 네트워크의 분산 검출 분야에서 최근 활발히 연구되고 있는 물리계층 보안기술들을 소개하고자 한다. 복잡한 연산과정을 요구하는 기존 암호학 기반의 보안 시스템은 배터리용량과 연산 능력이 제한된 센서 네트워크에서 많은 유지보수 비용을 유발할 수 밖에 없다. 본고에서 소개할 물리계층 보안기술들은 기존의 통신 모뎀 기술을 보안 강화의 목적으로 재활용하는 기술이다. 따라서, 복잡한 연산이나 추가적인 하드웨어를 필요로 하지 않기 때문에 자원이 제한된 센서 네트워크에 매우 적합하다. 본고에서는 센서네트워크에서 제안된 대표적인 물리계층 보안기술인 확률적 암호화 (stochastic encryption) 기법과 채널 인지 암호화 (channel aware encryption) 기법을 소개한다. 제안된 물리계층 암호화 기술을 두 가지 무선 채널 모형 PAC (parallel access channel)과 MAC (multiple access channel)에서 간략화된 모델로 재해석하여 센서 네트워크를 위한 보안 기술로서 적합성 여부를 평가하도록 하겠다.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.14 no.1
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• pp.101-107
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• 2005

The objective of this study is structural analysis and optimum shape of rope brake. The finite element model was implemented to compute the stress, strain and friction force for rope brake. The ANSYS code was used for this analysis. Structural analysis are effected by position and height of reinforcement figure. The structural safety was examined by an establishment angle of the rope brakes which made apply to housing of the most suitable shape. The optimum shape of the rope brake was decided after stress and strain results were compared and examined.

• Proceedings of the Korea Concrete Institute Conference
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• 2003.05a
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• pp.884-889
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• 2003

Based on the reinterpretation of the well-known relationship between shear and the rate of change of bending moment in a reinforced concrete beam subject to combined shear and moment loads, the shortcomings of present truss models are discussed. The core of the theory is that a new perspective on the shear strength can be gained by viewing the internal stress filed in terms of the superposition of two base components of shear resistance; arch action and beam action. The arch action can be designed using the simple truss having curved compression chord, while the beam action between the two chords can be modeled using a parallel chord truss with MCFT or RA-STM. The compatibility of deformation associated to the two action is taken into account by employing a characteristic factor a. The new model was examined by the Stuttgart beam shear tests, and the results show that the present approach provides good estimates of stirrup contribution and concrete contributions.

• Journal of the Korean Society for Precision Engineering
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• v.27 no.2
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• pp.86-93
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• 2010

The tilting index table has attached to CNC machining center with 3axes, it can be improvement of its performance and its machining efficiency. The tilting index table is a key unit in order to manufacture some non-rotational and 3-dimensional parts, using the conventional machining center. In this study, structural analysis is carried out by FEM simulation using the commercial software ANSYS Workbench 11 to develop tilting index table using direct drive motor. The shape of the tilting index table obtained from the optimization was analyzed and compared with the initial model. Also, the initial model was modified based on the optimization model and the result was verified to have the acceptable improvement.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.347-350
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• 2011

감시카메라 환경에서의 비정상 집단행동 탐지란 감시카메라로부터 유입되는 영상에서 다중 객체가 위험에 처한 상황을 신속하고 정확하게 탐지 및 인식하는 분야를 말한다. 본 논문에서는 CCTV 등과 같은 감시카메라 환경에서 움직임 벡터와 SVDD를 이용하여 집단내의 비정상 상황을 탐지하는 프로토타입 시스템을 제안한다. 제안된 시스템은 움직임 벡터를 이용하여 영상내의 움직임 정보를 추출 표현하였으며, 비정상 집단행동의 판별 문제를 실용적 차원의 단일 클래스 분류 문제로 재해석하여 단일 클래스 SVM의 대표적 모델인 SVDD를 탐지자로 설계하였다. 공개적으로 사용 가능한 벤치마크 데이터 셋인 PETS 2009와 UMN을 이용하여 본 논문에서 제안한 비정상 집단행동 탐지 시스템의 성능을 실험적으로 검증한다.