• Proceedings of the KIEE Conference
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• 2007.10c
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• pp.95-97
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• 2007

This paper proposes a mathematical modelling about Leviation Force and Propulsion Force in a system, where Primary and Secondary LSRM air-gap is irregular. This can be a suitable model for Magnetically levitation Train, where Primary and Secondary air-gap mechanically has to control simultaneously Levitation Force and Propulsion Force.

• Smart Structures and Systems
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• v.25 no.4
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• pp.459-469
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• 2020

The presence of cracks in mechanical components is a very important problem that, if it is not detected on time, can lead to high economic costs and serious personal injuries. This work presents a methodology focused on identifying cracks in unbalanced rotors, which are some of the most frequent mechanical elements in industry. The proposed method is based on Artificial Neural Networks that give a solution to the presented inverse problem. They allow to estimate unknown crack parameters, specifically, the crack depth and the eccentricity angle, depending on the dynamic behavior of the rotor. The necessary data to train the developed Artificial Neural Network have been obtained from the frequency spectrum of the displacements of the well- known cracked Jeffcott rotor model, which takes into account the crack breathing mechanism during a shaft rotation. The proposed method is applicable to any rotating machine and it could contribute to establish adequate maintenance plans.

• International Journal of Contents
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• v.12 no.1
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• pp.49-53
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• 2016

"Hahoe Village" in Andong region is an UNESCO World Heritage Site. It should be protected against various disasters such as fire, flooding, earthquake, etc. Among these disasters, flooding has drastic impact on the lives and properties in a wide area. Since "Hahoe Village" is adjacent to Nakdong River, it is important to monitor the water level near the village. In this paper, we developed a hydrological modelling using multi-layer perceptron (MLP) to predict the water level of Nakdong River near "Hahoe Village". To develop the prediction model, error back-propagation (EBP) algorithm was used to train the MLP with water level data near the village and rainfall data at the upper reaches of the village. After training with data in 2012 and 2013, we verified the prediction performance of MLP with untrained data in 2014.

• Journal of the Korean Society of Safety
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• v.25 no.1
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• pp.87-92
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• 2010

Urban transit system must secure fast, safe and reliable transportation capacity as a metropolitan mass transit. For this purpose, it is important to make all the sub-systems (which consist of EMU, power feeding, signaling & telecommunication, railway, platform facility, and control system and so on) work well. To operate all the systems effectively and reliably, a maintenance measure optimal to each system's characteristics is needed to be established and executed. So, highly reliable maintenance should be performed. But, EMU maintenance methods suitable to its own model and EMU lines are not yet introduced. This study examined few examples mainly to secure reliability on a maintenance quality in operating method and the features of train maintenance system based on travel distance.

• Journal of the Korean Society for Railway
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• v.9 no.2 s.33
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• pp.180-186
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• 2006

In this study, a large-scale laboratory model test, 2-D and 3-D numerical analyses were conducted to verify the reinforcement effect by utilizing geotextile bag on the railway roadbed. Static loading which simulated train load was applied on the geotextile bag-reinforced railway roadbed and also unreinforced railway roadbed, Computer program named Pentagon which is a part of FEM programs was used in the numerical analysis. Based on the results of laboratory test, 2-D and 3-D numerical analyses, the effect of load distribution and settlement reduction was found to be depending on the geotextile characteristics, tensile strength of geotextite, and interface friction angle between geotextile bags. In general, the result of 2-D and 3-D numerical analyses shows lower value than that of laboratory test. Also, the result of 3-D numerical analyses shows lower value than that of 2-D numerical analyses because of its stress transfer effect.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.562-569
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• 2004

To operate a border station between South and North Korea is one of the most important tasks for the future inter-Korean railway transportation. Currently, North Korea and China are operating three border stations each. Among them, a Dandong-Sinuiju route handles the most amount of transport volume and can be a model for the operation of South-North Korean border station. This Study is to suggest an efficient way of operating the planned South-North Korean border station and international railway transportation via the station. To that end, operation system at the border station between Chinese Dandong and North Korean Sinuiju was analyzed and the Train Operation Agreement made by the two Koreas was studied.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.106-111
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• 2018

감성분석(Sentiment Analysis)은 텍스트에 나타난 감성을 분석하는 기술로 자연어 처리 분야 중 하나이다. 한국어 텍스트를 감성분석하기 위해 다양한 기계학습 기법이 많이 연구되어 왔으며 최근 딥러닝의 발달로 딥러닝 기법을 이용한 감성분석도 활발해지고 있다. 딥러닝을 이용해 감성분석을 수행할 경우 좋은 성능을 얻기 위해서는 충분한 양의 학습데이터가 필요하다. 하지만 감성분석에 적합한 학습데이터를 얻는 것은 쉽지 않다. 본 논문에서는 이와 같은 문제를 해결하기 위해 기존에 구축되어 있는 감성사전을 활용한 대용량 학습데이터 구축 방안을 제안한다.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1460-1463
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• 2005

In this paper, analysis of magnetic marker for autonomous vehicle guidance system using 3-axis magnetic sensor propose. Position sensing is an important an estimation system of vehicle position and orientation on magnetic lane, which is a parameter of the steering controller for automated lane following is described. To verify that the magnetic dipole model could be applied to a magnetic unit paved in roadway, the analysis of the data 3-axis magnetic field measured experimentally.

• 유체기계공업학회:학술대회논문집
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• 2006.08a
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• pp.575-578
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• 2006

In designing smoke-control system of rescue station in train tunnel, a purpose is to prevent a disaster by proposing the jet fan operation together with smoke-control curtain in tunnel fire. This study has investigated the relationship of the Heat Release Rate(HRR) and a adequate ventilation velocity to control the fire propagation in tunnel fire, and has improved the effect of the smoke-control curtain on preventing the flow of pollutants. In this study, Computational Fluid Dynamics(CFD) simulations with ST AR-CD(ver 3.24) were carried out on predicting the fire spreading and the flow of pollutants, considering jet fan operations and effect of smoke-control curtain. Our simulation domain is the full scale model of the 'DAEGWALLYEONG' 1st tunnel. The results represent that ventilation operation can control the fire spreading and pollutants effectively to prevent a disaster.

• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.5
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• pp.1280-1290
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• 1995

In order to investigate the compression wave propagating in a high-speed railway tunnel, a numerical calculation was applied to the wave phenomenon occurring in a model tunnel. Unsteady, one-dimensional inviscid or viscous flows were solved by an explicit TVD scheme, and the calculated flows were compared with the results of measurement in real tunnels. Tunnel noises caused by emission of the compression wave were characterized in terms of excess pressure of compression wave, pressure gradient in the wave front and width of the compression wave. Calculated attenuation, pressure gradient and width of compression wave with the propagating distance agreed with the results of measurement in the real tunnels. The results also show that tunnel noises are proportional to the train velocity entering the tunnel.