• 전자공학회논문지CI
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• 제47권1호
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• pp.92-103
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• 2010

본 논문에서는 Dynamic Space Time Warping(DSTW) 알고리즘을 이용하여 손동작을 다양한 배경에서도 정확하게 인식할 수 있는 방법을 제안한다. DSTW 알고리즘을 이용한 기존의 손동작 인식 방법은 질의 영상의 매 프레임마다 검출된 다수의 손 후보 영역과 모델 영상을 시간 축 상으로 비교하는 방법이다. 그러나 DSTW 알고리즘을 이용한 기존의 손동작 인식 방법은 손을 포함하지 않은 후보 영역들(배경, 팔꿈치 등)에 의해 오 인식될 수 있는 경로를 생성하며, 그 결과로 사용자가 의도하지 않은 손동작으로 인식된다. 이러한 단점을 해결하기 위해서, 본 논문에서는 손 후보 영역의 불변 모멘트를 이용하여 질감정보를 추출한 후 후보 영역들 사이의 유사도를 비교한다. 제안한 방법을 통해 계산된 유사도는 모델 영상과 질의 영상의 매칭 비용에 가중치로 적용된다. 실험 결과를 통해 제안한 방법은 다양한 배경에서도 사용자의 손동작을 정확하게 인식하였으며 기존의 방법에 비해 약 13%의 인식률이 향상한 것을 확인하였다.

• 한국태양에너지학회 논문집
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• 제36권1호
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• pp.11-18
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• 2016

The local wind systems in the Pohang region were categorized into wind sectors. Still, thorough knowledge of wind resource assessment, wind environment analysis, and atmospheric environmental impact assessment was required since the region has outstanding wind resources, it is located on the path of typhoon, and it has large-scale atmospheric pollution sources. To overcome the resolution limitation of meteorological dataset and problems of categorization criteria of the preceding studies, the high-resolution wind resource map of the Korea Institute of Energy Research was used as time-series meteorological data; the 2-step method of determining the clustering coefficient through hierarchical clustering analysis and subsequently categorizing the wind sectors through non-hierarchical K-means clustering analysis was adopted. The similarity of normalized time-series wind vector was proposed as the Euclidean distance. The meteor-statistical characteristics of the mean vector wind distribution and meteorological variables of each wind sector were compared. The comparison confirmed significant differences among wind sectors according to the terrain elevation, mean wind speed, Weibull shape parameter, etc.

• 대한치과보철학회지
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• 제26권1호
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• pp.63-84
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• 1988

Recently the instantaneous centre concept has been used to understand the biomechanics by which a tissue derangement causes a mechanical derangement in temporomandibular joint. In this study, four male subjects without temporomandibular joint disorder and malocclusion were selected for the determination of the instantaneous centre of rotation (I.C.R) in the mandibular movement. The habitual opening and closing paths were recorded on the sagittal plate by two spring pencils attached on the lower anterior teeth which was designed for this study, and the I.C.R. was calculated by the computer program of Rouleaux's method. Also the computer graphic opening and closing movements of mandible were obtained according to the determined I.C.R. The results obtained from this study were as follows. 1. The instantaneous centres of rotation were not positioned within the condyle in the mandibular opening and closing movement. 2. There was some similarity between the anatomical curvature of the articular emience and the movement pattern of condyle. 3. The opening path and the closing path of the most superior pl)int of the condyle stowed a slight difference. 4. At the early stage of the habitual opening movement, the condyle was moved downward. 5. The opening and closing mandibular movements were simulated by the instantaneous centre of rotation which was determined by the computer program of Rouleaux's method.

• 한국컴퓨터정보학회논문지
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• 제16권2호
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• pp.61-69
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• 2011

동적계획법이 기반인 Dynamic Time Warping은 두 패턴의 유사도를 비교하기 위해 널리 사용되는 방법이다. DTW알고리즘에는 2가지 알려진 문제점이 있다. 첫 번째 문제는 DTW알고리즘은 2개의 패턴의 대응경로를 계산하면서 특이점이 발생하는 문제가 발생하게 된다. 두 번째 문제는 동적패턴의 대응경로가 올바른지 알 수 없다는 문제가 있다. 이에 본 논문에서는 DTW알고리즘의 문제에 대한 효과적인 해결을 위하여, 2차 미분 연산자를 적용한 DTW알고리즘을 제안 한다. 2차 미분 연산자의 하나인 "라플라시안오브가우시안" 연산자를 적용하여, 효과적으로 특이점에 대한 문제를 해결하고, 올바른 대응경로를 가질 수 있는 방법에 대하여 제안하고, 실험의 결과로 제안하는 알고리즘의 우수성을 증명한다.

• 대기
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• 제28권2호
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• pp.211-222
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• 2018

Cloud droplet activation process is well described by $K{\ddot{o}}hler$ theory and several parameterizations based on $K{\ddot{o}}hler$ theory are used in a wide range of models to represent this process. Here, we test the two different method of calculating the solute effect in the $K{\ddot{o}}hler$ equation, i.e., osmotic coefficient method (OSM) and ${\kappa}-K{\ddot{o}}hler$ method (KK). To do that, each method is implemented in the cloud droplet activation parameterization module of WRF-CHEM (Weather Research and Forecasting model coupled with Chemistry) model. It is assumed that aerosols are composed of five major components (i.e., sulfate, organic matter, black carbon, mineral dust, and sea salt). Both methods calculate similar representative hygroscopicity parameter values of 0.2~0.3 over the land, and 0.6~0.7 over the ocean, which are close to estimated values in previous studies. Simulated precipitation, and meteorological variables (i.e., specific heat and temperature) show good agreement with reanalysis. Spatial patterns of precipitation and liquid water path from model results and satellite data show similarity in general, but on regional scale spatial patterns and intensity show some discrepancy. However, meteorological variables, precipitation, and liquid water path do not show significant differences between OSM and KK simulations. So we suggest that the relatively simple KK method can be a good alternative to the OSM method that requires various information of density, molecular weight and dissociation number of each individual species in calculating the solute effect.

• Structural Engineering and Mechanics
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• 제81권6호
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• pp.665-675
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• 2022

The safety problems of giant hydraulic structures such as dams caused by terrorist attacks, earthquakes, and wars often have an important impact on a country's economy and people's livelihood. For the national defense department, timely and effective assessment of damage to or impending damage to dams and other structures is an important issue related to the safety of people's lives and property. In the field of damage assessment and vulnerability analysis, it is usually necessary to give the damage assessment results within a few minutes to determine the physical damage (crack length, crater size, etc.) and functional damage (decreased power generation capacity, dam stability descent, etc.), so that other defense and security departments can take corresponding measures to control potential other hazards. Although traditional numerical calculation methods can accurately calculate the crack length and crater size under certain combat conditions, it usually takes a long time and is not suitable for rapid damage assessment. In order to solve similar problems, this article combines simulation calculation methods with machine learning technology interdisciplinary. First, the common concrete gravity dam shape was selected as the simulation calculation object, and XFEM (Extended Finite Element Method) was used to simulate and calculate 19 cracks with different initial positions. Then, an LSTM (Long-Short Term Memory) machine learning model was established. 15 crack paths were selected as the training set and others were set for test. At last, the LSTM model was trained by the training set, and the prediction results on the crack path were compared with the test set. The results show that this method can be used to predict the crack propagation path rapidly and accurately. In general, this article explores the application of machine learning related technologies in the field of mechanics. It has broad application prospects in the fields of damage assessment and vulnerability analysis.

• 경영과정보연구
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• 제37권2호
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• pp.169-185
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• 2018

서비스 전달과정에서 나타날 수 있는 고객가치창출행동은 기업의 성과나 고객만족, 서비스 품질 등과 같은 중요한 결과에 영향을 미치는 것으로 알려져 왔기 때문에 마케팅 영역에서 많은 연구들이 진행되어 온 반면, 대부분의 연구가 서비스 제공자와 고객 간의 상호작용에 초점을 두고 있다. 하지만 고객가치창출행동은 서비스 기업과 관련된 다른 고객에 대한 다양한 고객의 행동들을 포함하고있기 때문에 이런 유형의 고객 행동을 연구하기 위해서는 고객과 고객 간에 발생할 수 있는 상호작용 유형들과 관련해서 고려해야 할 필요성이 있다고 볼 수 있다. 이에 본 연구는 서비스 환경 내에서 고객과 고객 간의 상호작용 요인인 사회적지지, 사회적 상호작용, 유사성이 브랜드 애착과 자발적 가치창출행동에 미치는 영향을 검증하기 위하여 연구모형을 설정하였으며, 변수들 간의 관계를 검증하였다. 이에 대한 연구결과를 요약하면 다음과 같다. 가설을 검증한 결과 고객과 고객 간의 상호작용 요인이 브랜드 애착에 미치는 영향과 브랜드 애착이 고객의 자발적 가치창출행동에 미치는 영향과 관련된 가설은 모두 채택되었다. 이에 대한 구체적인 내용은 다음과 같다. 첫 번째, 사회적 지지와 사회적 상호작용, 유사성은 브랜드애착에 정(+)의 영향을 미치고 있다는 가설은 연구를 통해 검증되어 통계적으로 유의한 것으로 나타났다. 두 번째, 브랜드 애착은 고객의 자발적 가치창출행동인 정보공유행동, 도움행동, 제안행동에 모두 정(+)의 영향을 미칠 것이라는 가설 또한 통계적으로 유의한 것으로 검증되었다. 따라서 본 연구의 결과는 서비스 비즈니스에서 경쟁우위가 될 수 있는 고객의 브랜드 애착과 자발적이고 자유재량적인 가치창출행동을 유발하기 위해서는 고객과 고객 간의 긍정적인 상호작용 및 친화성 관리가 중요하다는 것을 제안하고 있으며, 이와 관련된 이론적, 실무적 시사점을 제공할 것으로 기대된다.

• 대한산업공학회지
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• 제40권6호
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• pp.628-641
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• 2014

Stepwise efficiency improvement in data envelopment analysis (DEA)-based benchmarking is a realistic and effective method by which inefficient decision making units (DMUs) can choose benchmarks in a stepwise manner and, thereby, effect gradual performance improvement. Most of the previous research relevant to stepwise efficiency improvement has focused primarily on how to stratify DMUs into multiple layers and how to select immediate benchmark targets in leading levels for lagging-level DMUs. It can be said that the sequence of benchmark targets was constructed in a myopic way, which can limit its effectiveness. To address this issue, this paper proposes an optimization approach to the construction of a sequence of benchmarks in DEA-based benchmarking, wherein two optimization criteria are employed : similarity of input-output use patterns, and proximity of input-output use levels between DMUs. To illustrate the proposed method, we applied it to the benchmarking of 23 national universities in South Korea.

• 동아시아경상학회지
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• 제6권2호
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• pp.1-13
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• 2018

Purpose - The present research is to investigate the effect of psychological empowerment on turnover intention through job satisfaction and organizational commitment. Research design, data, and methodology - These include turnover intention as dependent variable, psychological empowerment as an independent variable and for mediating variables job satisfaction and organizational commitment. Also nationality of employee is used as a moderating variable. Survey data was collected was total 886 respondents from 345 Korean, 313 Chinese, 228 Japanese. Data analysis was conducted with SPSS to test reliability of variables with Cronbach's alpha and one variable confirmatory factor analysis to test common method bias. And regression analysis was conducted to confirm relationship among variables. AMOS was used for path analysis and to analysis moderating effect of employees' country. Results - The results of regression indicate that psychological empowerment increase job satisfaction, affective commitment, normative commitment and turnover intention. Job satisfaction, affective commitment and normative commitment decrease turnover intention. As for the moderating role of country, it seems that country does matter. Conclusions - Main conclusions of this research implicate that to decrease employee turnover intention company need to manage psychological empowerment, job satisfaction, and organizational commitment. Also there is need to consider similarity and difference in managing employees of Korea, China and Japan employees. Manager need to verify direction and importance of each antecedent then apply to employees.

• 대한임베디드공학회논문지
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• 제10권3호
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• pp.179-188
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• 2015

We propose obstacle classification method based on 2D LIDAR(Light Detecting and Ranging) database. The existing obstacle classification method based on 2D LIDAR, has an advantage in terms of accuracy and shorter calculation time. However, it was difficult to classifier the type of obstacle and therefore accurate path planning was not possible. In order to overcome this problem, a method of classifying obstacle type based on width data of obstacle was proposed. However, width data was not sufficient to improve accuracy. In this paper, database was established by width, intensity, variance of range, variance of intensity data. The first classification was processed by the width data, and the second classification was processed by the intensity data, and the third classification was processed by the variance of range, intensity data. The classification was processed by comparing to database, and the result of obstacle classification was determined by finding the one with highest similarity values. An experiment using an actual autonomous vehicle under real environment shows that calculation time declined in comparison to 3D LIDAR and it was possible to classify obstacle using single 2D LIDAR.