• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.34 no.5
• /
• pp.1463-1476
• /
• 2014

In order to understand hydrodynamic and morphodynamic characteristics under wave-current interactions in an estuary, a coupled model for two-way analysis between existing 3-d numerical wave tank and newly-developed 3-d morphodynamic model has been suggested. Comparing to existing experimental results it is revealed that computed results of the newly-suggested model are in good agreement with each laboratory test result for wave height distribution, vertical flow profile and topographical change around ocean floor pipeline in wave-current coexisting field. Also the numerical result for suspended sediment concentration is verified in comparison with experimental result in solitary wave field. Finally, it is shown that the 3-D coupled Hydro-Morphodynamic model suggested in this study is applicable to morphological change under wave-current interaction in an estuary.

• Journal of Advanced Navigation Technology
• /
• v.24 no.5
• /
• pp.430-437
• /
• 2020

The proposed model implements a model that improves the face prediction rate and recognition rate through learning with an artificial neural network using face detection, landmark and face recognition algorithms. After landmarking in the face images of a specific person, the proposed model use the previously learned Caffe model to extract face detection and embedding vector 128D. The learning is learned by building machine learning algorithms such as support vector machine (SVM) and deep neural network (DNN). Face recognition is tested with a face image different from the learned figure using the learned model. As a result of the experiment, the result of learning with DNN rather than SVM showed better prediction rate and recognition rate. However, when the hidden layer of DNN is increased, the prediction rate increases but the recognition rate decreases. This is judged as overfitting caused by a small number of objects to be recognized. As a result of learning by adding a clear face image to the proposed model, it is confirmed that the result of high prediction rate and recognition rate can be obtained. This research will be able to obtain better recognition and prediction rates through effective deep learning establishment by utilizing more face image data.

• Proceedings of the IEEK Conference
• /
• 2000.06b
• /
• pp.226-229
• /
• 2000

In this paper, we describe implementation of 32-Bit RISC Core for portable communication/information equipment, such as cellular telephones and personal digital assistants, notebook, etc. The RISC core implements the ARM$\^$R/V4 instruction set on the basis of low power techniques in architecture level and logic level. It operates with 5-stage pipeline, and has harvard architecture to increase execution speed. The processor is modeled and simulated in RTL level using VHDL. Behavioral Cache and MMU are added to the VHDL model for instruction level verification of the processor. The core is implemented using Mentor P'||'&'||'R tools with IDEC C-631 Cell library of 0.6$\mu\textrm{m}$ CMOS 1-poly 3-metal CMOS technology.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.6 no.5
• /
• pp.111-118
• /
• 1998

Surge pressure problem at the oil return line of the hydraulic circuit of an active suspension system for passenger cars was investigated by experiments and numerical analyses. In the numerical analyses, the method of characteristics was used for simulating unsteady flow in the hydraulic system and gas discrete model was adopted for estimating gas volume variation in separated liquid column. In the experiments and analyses, effects of the physical parameters of the accumlator on smoothing surge pressure was elucidated.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.32 no.3
• /
• pp.223-231
• /
• 2008

This paper introduces a robot called the MRINSPECT V (Multifunctional Robotic crawler for Inpipe in-SPECTion V) for the inspection of pipelines with a nominal 8-in inside diameter. Based on the mechanism of the previous model MRINSPECT IV, we developed a new MRINSPECT V by using the differential driving mechanism, so that just simply controlling the speed of each driving units helps the robot to travel effectively inside the pipelines. Furthermore, the robot uses clutches in transmitting driving power to wheels. This clutch mechanism enables MRINSPECT V to select the suitable driving method according to the shape of pipeline. In this paper, the critical points in design and construction of the proposed robot are described with the preliminary results to provide good mobility and increase the efficiency.

• Journal of the Korean Society of Manufacturing Technology Engineers
• /
• v.20 no.1
• /
• pp.74-80
• /
• 2011

In this study, a variety of welding experiments were carried out to optimize root-pass welding process using GMA process. Based on the experimental results, optimal welding conditions were selected after analyzing correlation between welding parameters and back-bead geometry. Then, effectiveness of empirical models developed was compared and analyzed, and optimized empirical models were finally developed for predicting back-bead by analyzing the main effect of each factor which affects back-bead geometry and their influence on interaction. Also, functions proper for expressing the surface of back-bead were selected using diverse quadratic functions, and back-bead geometry was visualized using empirical models developed and quadratic functions.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.57 no.2
• /
• pp.179-183
• /
• 2008

In case of a line-to-ground fault at transmission lines, a portion of fault current will flow into the earth through the footings of the faulted tower causing electrical potential rise nearby the faulted tower footings. In this situation, any buried pipelines or structures nearby the faulted tower can be exposed to the electrical stress by earth potential rise. Although many research works has been conducted on this phenomena, there has been no clear answer of the required separation distance between tower footings and neary buried pipeline because of its dependancy on the soil electrical charactersics of the concerned area and the faulted system. In this paper, an analytical formula to calculate the requried sepeartion distance from the faulted tower has been derived.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2004.05a
• /
• pp.68-68
• /
• 2004

기계기술의 지속적인 발달과 신기술의 개발로 인해 산업전반의 기반 기술인 기계 장치산업은 점점 복잡해지고 또한 다양화되면서 장치시설을 건전하고 신뢰성 있게 유지하고 관리하는 문제가 중요하게 대두되고 있다. 이중 가스 및 오일을 운송하는 배관은 대부분 지하에 매설되어 있고, 다양한 환경에 위치하여 있는데, 이러한 배관은 설치한지 오래되면 여러 가지 환경적 영향에 의해 부식과 같은 결함이 발생되고(Fig. 1과 Fig 2 참조) 이러한 결함이 성장하여 임계크기에 도달하여 대형 재난으로 발전하는 사고가 종종 보고 되고 있으며 이로 인한 경제적, 사회적 손실이 지대하기 때문에 매우 중요하게 인식되고 있다.(중략)

• Proceedings of the KWS Conference
• /
• 2005.06a
• /
• pp.288-290
• /
• 2005

Apparent mechanical properties in structural components can be different from the initially designed values due to the formation of the residual stress in metal forming and welding. Therefore, the evaluation of residual stress has great importance in the reliability diagnosis of structural components. A nondestructive continuous indentation technique has been proposed to evaluate various strength concerning mechanical properties from the analysis of load-depth curve. In this study, quantitative residual stress estimation on API X65 welded joints for natural gas pipeline was performed by analyzing the variation of indentation loading curve by residual stress through a new proposed theoretical model.

• Proceedings of the KIEE Conference
• /
• 1993.07a
• /
• pp.430-432
• /
• 1993

In this paper, an algorithm for the fault diagnosis using simple FCM(Fuzzy Cognitive Map) is proposed FCMs which store uncertain causal knowledges are fuzzy signed graphs with feedback. The algorithm allows searching the origin of fault and the ways of propagating the abnormality throughout the process simply and has following characteristics. First, it can distinguish the cause of soft failure which can degenerate the process as well as hard failure. Second, it is proper for the processes which have difficulties to establish the exact quantative model. Finally, it has short amputation time in comparison with the fault tree or the other AI methods. The applicability of the proposed algorithm for the fault diagonosis to a tank or pipeline system is demonstrated