• 대한의용생체공학회:의공학회지
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• 제12권3호
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• pp.171-176
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• 1991

A solution for the course of the general deterministic epidemic model is obtained by elementary series expansion. This is valid over all times, and appears to hold accurate]y over a very wide range of population and threshould parameter values. This algorithm can be more efficient than either numerical or recursive procedures in terms of the number of operations required to evaluate a sequence of points along the course of the epidemic.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 춘계학술대회 논문집
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• pp.1068-1072
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• 1997

This work deals with on investigation the influence of various additives to a base stock cutting fluid in order to develop a better deep hold drilling. This investigation has been aiming at developing an oil which gives a maximum cutting efficiency at a minimum wear rate of the tool and the guiding pads. The purpose of study is to analyze how guide pad of tools, workpiece and the change of contained quantity of extreme pressure additive in cutting fluids have effects on the hold over size of cutting hole, surface roughness of workpiece,wear rates of guide pad and roundness during the deep hole machining of SM55C with solid BTA drill by using BTA drilling system through experiment. Conclusion reached is as follows. It has been proved that the contained quantity of surphur more affects machinability than that of extreme pressure additive of chlorine of cutting fluid in BTA drilling during Deep Hole Drilling. Considering its base oil, the the contained quantity of extreme pressure assitive of surphur can be different, but it's judged that the range of 1.5 ~ 2.0% is suitable to machinability for workpiece in BTA drilling. Regarding guide pad, it's judged that the reduction of wear is possible in propotion to the contained quantity of exrreme pressure additive of chlorine against supporting of cutting force and Bumishing operation of machining parts in cutting.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 추계학술대회
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• pp.386-389
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• 2013

본 논문에서는 Processor와 DDR2 사이에 인터페이스되는 고속신호의 Signal Integrity 해석을 위해 IC Chip의 IBIS Model과 Transmission Line의 S-Parameter를 이용하여 고속신호의 Transient 해석을 수행하고 Eye Diagram을 생성하였다. 고속으로 동작하는 DQ, DQS/DQSb 신호 및 Clock, Address, Control 신호의 Eye Diagram에서 Setup/Hold 구간동안 Timing Margin과 Voltage Margin을 측정하였으며 Over-/Under-shoot 및 Differential 신호의 Cross Point가 Spec에 만족하는지 확인하여 신호의 품질을 확보하였다.

• 항공우주시스템공학회지
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• 제13권2호
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• pp.1-9
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• 2019

본 논문에서는 고고도 장기체공 무인항공기의 임무 비행을 위한 방향축 유도, 제어 알고리즘에 대해 기술 하였다. 먼저 방향축 제어 알고리즘은 임무 기간 중 무인항공기가 전진비행을 할 수 없을 맞바람에 대해 제어 변수를 전환하는 알고리즘을 설계하였다. 유도법칙은 항로점 비행을 위해 Fly-over, Fly-by, Hold 속성에 대한 각각의 알고리즘을 적용하였다. 무인항공기의 비선형 시뮬레이션을 통해 각 유도, 제어 알고리즘의 설계 결과를 확인하였다. 본 연구는 설계 결과를 토대로 실제 임무 비행을 수행하는 것을 목적으로 한다. 따라서 본 연구 내용을 기반으로 비행 시험을 통해 설계한 유도 제어 알고리즘의 비행 운용성을 확인하였다.

• 대한조선학회논문집
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• 제58권5호
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• pp.303-313
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• 2021

Recently, quality control of the Liquefied Natural Gas Carrier (LNGC) cargo hold and block-erection interference areas using 3D scanners have been performed, focusing on large shipyards and the international association of classification societies. In this study, as a part of the research on LNGC cargo hold quality management advancement, a study on deep-learning-based scaffolding system 3D point cloud object detection and post-processing were conducted using a LNGC cargo hold 3D point cloud. The scaffolding system point cloud object detection is based on the PointNet deep learning architecture that detects objects using point clouds, achieving 70% prediction accuracy. In addition, the possibility of improving the accuracy of object detection through parameter adjustment is confirmed, and the standard of Intersection over Union (IoU), an index for determining whether the object is the same, is achieved. To avoid the manual post-processing work, the object detection architecture allows automatic task performance and can achieve stable prediction accuracy through supplementation and improvement of learning data. In the future, an improved study will be conducted on not only the flat surface of the LNGC cargo hold but also complex systems such as curved surfaces, and the results are expected to be applicable in process progress automation rate monitoring and ship quality control.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 추계학술대회
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• pp.1710-1714
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• 2004

The analysis of ventilation performance varying with duct shapes in reefer container of scale-model has studied experimentally. Most container ships have ventilation system of which ducts extended to the bottom for the purpose of efficient exhausting of condensing heat from hold. However, the size of ducts is so over-long that it causes manufacturing troubles. In this study, for various types of duct, flow visualization using smoke and normalized temperature analysis are presented. Finally, the cooling performance are compared respectively.

• 한국주조공학회지
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• 제9권4호
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• pp.320-326
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• 1989

Titanium-Boron-Aluminium master alloys are used extensively to grain-refine a wide range of aluminium alloys. This experiment was performed by various amounts of AlTi5B1 addition to the technical aluminium alloys, and also by changing cast temperature and hold time of the melts. The macrostructures were shown that with increasing the addition of AlTi5B1 to the melts, the grain became finer. In the case of cast temperature high enough over $900^{\circ}C$, the grain became coarser, but hold time change not affected on the grain refinement. Particles of $TiAl_3$, and $TiB_2$ were found in the grains and grainboundaries. The important role of grain refinement in this experiment were mainly $TiAl_3$, and also $TiB_2$ those have been confirmed in TEM, SEM, EDS, WDX and X-ray diffraction.

• KDI Journal of Economic Policy
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• 제42권3호
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• pp.1-32
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• 2020

This paper studies urban growth in Korean cities. First, I document that population growth patterns change over time and that the current population distribution supports random urban growth. I confirm two empirical laws-Zipf's law and Gibrat's law-both of which hold in the period of 1995-2015, but do not hold in the earlier period of 1975-1995. Second, I find a systematic employment growth pattern of Korean cities in spite of the random population growth. I examine market access effects on employment growth. Market access, a geographical advantage, has a significant influence on urban employment growth. The market access effect is higher in the Seoul metropolitan area than in the rest of the country. This effect is stronger on employment growth in the manufacturing industry compared to employment growth in the service industry. These results are robust with various checks (e.g., different definitions of urban areas). The results here suggest that policymakers should consider geographical characteristics when they make policy decisions with respect to regional development.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2008년도 춘계학술대회 논문집
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• pp.277-280
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• 2008

Recently, a demand of nano/micro patterned polymer for display or biochip has been rising. Then many studies have been carried out. Nano/micro-embossing is a deformation process where the workpiece materials is heated to permit easier material flow and then forced over a planar patterned tool. In this work, the hot-emboss process is performed with different forming conditions; forming temperature, load, press hold time, to get the proper condition for linear pattern fabrication on plated-type polymers (PC). Replicated pattern depth increases in proportion to the forming temperature, load and time. Reduction of the workpiece thickness increases according to press hold time. In process of time, reduction ratio of workpiece thickness decreases because of surface area increment of the workpiece and pressure decline on it.

• 한국융합학회논문지
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• 제12권4호
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• pp.249-258
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• 2021

최근 암호화폐거래소로 투자자들이 몰리면서 비트코인 가격이 급등락하고 있다. 본 연구의 목적은 딥러닝 모형을 이용하여 비트코인의 가격을 예측하고, 투자전략을 통해 비트코인의 수익성이 있는지를 분석하는 것이다. 비선형성과 장기기억 특성을 보이는 비트코인 가격 예측모형으로는 LSTM을 활용하며, 예측 가격을 입력변수로 하는 이동평균선 교차전략의 수익성을 분석하였다. 2013년부터 2021년까지의 LSTM 예측 가격을 이용한 비트코인 이동평균선 교차전략의 투자 성과는 단순 시장가격을 이용한 이동평균선 교차전략과 벤치마크전략 Buy & Hold 보다 각각 5.5%와 46% 이상의 수익률 개선 효과를 보여주었다. 최근 데이터까지 확장하여 분석한 본 연구의 결과는 기존의 연구들과 마찬가지로 암호화폐 시장의 비효율성(inefficiency)을 지지하고 있으며, 비트코인 투자자들에게는 딥러닝 모형을 이용한 투자전략의 실전 활용 가능성을 보여주었다. 향후 연구에서는 다양한 딥러닝 모형들의 성과 비교를 통해 최적의 예측모형을 개발하고 비트코인 투자전략의 수익성을 개선할 필요가 있다.