• 한국해양공학회지
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• 제35권5호
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• pp.336-346
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• 2021

The prediction of wave conditions is crucial in the field of marine and ocean engineering. Hence, this study aims to predict the significant wave height through machine learning (ML), a soft computing method. The adopted metocean data, collected from 2012 to 2020, were obtained from the Korea Institute of Ocean Science and Technology. We adopted the feedforward neural network (FNN) and long-short term memory (LSTM) models to predict significant wave height. Input parameters for the input layer were selected by Pearson correlation coefficients. To obtain the optimized hyperparameter, we conducted a sensitivity study on the window size, node, layer, and activation function. Finally, the significant wave height was predicted using the FNN and LSTM models, by varying the three input parameters and three window sizes. Accordingly, FNN (W48) (i.e., FNN with window size 48) and LSTM (W48) (i.e., LSTM with window size 48) were superior outcomes. The most suitable model for predicting the significant wave height was FNN(W48) owing to its accuracy and calculation time. If the metocean data were further accumulated, the accuracy of the ML model would have improved, and it will be beneficial to predict added resistance by waves when conducting a sea trial test.

• 한국의류학회지
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• 제30권9_10호
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• pp.1423-1433
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• 2006

The purpose of this study is to explore the impact of window information on consumers' willingness to visit a fashion store according to their clothing shopping orientation. The sutjects of the research are conveniently selected females over the age of 20 living in Busan. A total of 202 questionnaire are collected far data analysis. The results of this study are as follows: 1. The factor analysis to identify the clothing shopping orientation showed four factors, such as hedonic, planned, independent/loyalty, and impulsive/convenience. A cluster analysis conducted by the four factors resulted in four patterns - utilitarian shopping orientation group, impulsive/convenience shopping orientation group, hedonic shopping orientation group, independent/loyalty shopping orientation group. 2. The window information conducted by factor analysis were divided into the four levels-product information, promotion information, fashion information, and store image. 3. A one-way ANOVA analysis carried out to find the window information effects among the groups revealed that there were significant differences in the factors of promotion information, fashion information, and store image. 4. Multi-regression analysis was conducted in order to find the impact of window information on the consumers' willingness to visit a fashion store. As a result, fashion information had the most impact on utilitarian shopping group, while product information, promotion information and store image had a great impact on impulsive/convenience shopping orientation group, fashion information and store image had the most impact on hedonic shopping orientation group.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.471-475
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• 2002

To detect ground subsidence, the permanent scatterer SAR interferometry is applied to the Shinho industrial complex. Eleven JERS-1 images were acquired in the study area between October 1996 and September 1998. All SAR data were co-registered to one master scene (January 8, 1998) and thus 10 interferograms were obtained in a time series. In order to determine permanent scatterers, coherence maps as well as the interferograms were generated and exploited. The coherence at the selected PSs was larger than 0.4 in a 515 sub-window and 0.5 in a 39 sub-window. Twenty-nine PSs within the reclaimed land and 8 PSs (as reference phase) outside the plant were selected for the analysis. The 29 PSs were grouped into 5 sub-groups. We removed the reference phase, which was estimated from 8 outside PSs that were considered as phases free of displacement, from the phases at PSs inside the plant. Residual phases could be interpreted as surface displacement and DEM error. The subsidence of about 40 cm was detected at group 4, while surface displacements were negligible in the rest groups.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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• pp.1615-1618
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• 2005

In this paper, implementation of object-based multiview 3D display using object segmentation and adaptive disparity estimation is proposed and its performance is analyzed by comparison to that of the conventional disparity estimation algorithms. In the proposed algorithm, firstly we can get segmented objects by region growing from input stereoscopic image pair and then, in order to effectively synthesize the intermediate view the matching window size is selected according to the extracted feature value of the input stereo image pair. Also, the matching window size for the intermediate view reconstruction (IVR) is adaptively selected in accordance with the magnitude of the extracted feature value from the input stereo image pair. In addition, some experimental results on the IVR using the proposed algorithm is also discussed and compared with that of the conventional algorithms.

• 한국실내디자인학회논문집
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• 제25권1호
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• pp.181-191
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• 2016

The purpose of this study is to analyze affordance of façade design by extracting analysis elements of affordance in façade design domestic five-star hotels. The subjects of this study were 88 domestic five-star hotels; we selected literature review and case study as methodology. The analysis elements included mass forms, exterior colors, window frame patterns, exterior characteristics, and door types based on the visual perception factors of façade design from the concept of affordance. The results of the study were as follows. First, the mass forms were divided into stackable, integral, and connection types, and stackable type was most frequent. Second, exterior colors were divided into achromatic, red, yellow, and opaque color parts, and the achromatic parts were most frequent. Third, the window frame patterns were divided into grid, irregular, full, horizontal, and vertical windows, and grid windows were most frequent. Fourth, the exterior characteristics were divided into formative mass, horizontal partition, design contrast, tiled roof, and facility connection, and the formative mass was most frequent. Fifth, the door types were divided into porch, piloti, and wall type, and porch was most frequent. The results of this study showed that the façade design elements such as mass forms, exterior colors, window frame patterns, exterior characteristics, and door types intentionally contained affordance.

• KIEAE Journal
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• 제15권4호
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• pp.77-84
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• 2015

Purpose: In 2008, As the green growth policy was presented, Green Building is made any effort to propagation. In this paper, the respective technologies that are able to considerably reduce the energy demands for heating, cooling, hot-water, lighting and ventilation among the variety of technologies were selected. Method: Design factors such as (1) External insulation, (2) Triple glazing window, (3) LED lighting, (4) External venetian blind, (5) Geothermal and (6) Heat recovery ventilator were derived. In addition, energy saving effects in terms of energy demand, energy consumption and energy cost were investigated using EnergyPlus, building energy analysis tool. Result : The results were as follows. (1) It can be seen that high insulated triple glazing window, heat recovery ventilator and external insulation technology is excellent for energy demand. (2) Unlike energy demand, saving effect of energy consumption and energy cost was shown in order of Geothermal > Triple Window > Heat recovery Ventilation> Insulation> LED Lighting > EVB Blind.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 하계학술발표대회 논문집
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• pp.282-287
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• 2008

Identification of steady-state is the first step in developing a fault detection and diagnosis (FDD) system. In a complete FDD system, the steady-state detector will be included as a module in a self-learning algorithm which enables the working system's reference model to "tune" itself to its particular installation. In this study, a steady-state detector of a residential air conditioner based on moving windows was designed. Seven representing measurements were selected as key features for steady-state detection. The optimized moving window size and the feature thresholds was suggested through startup transient test and no-fault steady-state test. Performance of the steady-state detector was verified during indoor load change test. From the research, the general methodology to design a moving window steady-state detector was provided for vapor compression applications.

• Corrosion Science and Technology
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• 제22권4호
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• pp.265-272
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• 2023

The aim of this study was to develop a new in-situ observation method and instrument in micro-scale to investigate the mechanism of stress corrosion cracking (SCC) initiation of Ni-base alloys in a high temperature water environment of pressurized water reactors (PWRs). A laser confocal microscope (LCM), an autoclave with diamond window view port, and a slow strain-rate tester with primary water circulation loop system were components of the instrument. Diamond window, one of the core components of the instrument, was selected based on its optical, chemical, and mechanical properties. LCM was used to observe the specimen in micro-scale, considering the experimental condition of a high-temperature primary water environment. Using in-situ method and instrument, it is possible to observe oxidation and deformation of specimen surface in micro-scale through the diamond window in a high-temperature primary water in real-time. The in-situ method and instrument developed in this work can be utilized to investigate effects of various factors on SCC initiation in a high-temperature water environment.

• 대한소아치과학회지
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• 제50권1호
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• pp.121-130
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• 2023

소아들에게서 커다란 치성낭은 주위 해부학적 구조물뿐만 아니라 발육 중인 영구치의 변위를 일으키게 되는데 이러한 경우 적출술이나 조대술이 치료법으로 사용되어 진다. 이 증례는 상악에서 발생한 커다란 낭종으로 인해 3개 이상의 영구치와 더불어 상악동 기저부의 거상이 함께 발생한 5세 남자 환자, 10세 남자 환자 2가지 증례를 보고하고 있다. 두 증례 모두에서 합병증을 최소화하기 위해 조대술이 선택되었으며 조대술 후 맹출 유도를 위한 맞춤 제작 아크릴 폐쇄 장치(obturator), 개창술(window opening), 교정적 견인을 점진적으로 시행하여 양호한 예후를 보였기에 이를 보고하는 바이다.

• 한국응용곤충학회지
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• 제55권2호
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• pp.139-148
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• 2016

작물 재배 시 주요 해충 발생에 대해 한두 달 이상 앞선 계절전망이 가능하다면 농가의 해충관리 의사결정이 보다 효율적으로 이루어질 수 있을 것이다. 본 연구에서는 국내 해충 발생과 통계적으로 유의미한 원격상관관계에 있는 기후현상을 찾기 위해 Moving Window Regression (MWR) 기법을 활용하였다. 벼멸구의 발생과 비래는 장기간에 걸쳐 여러 지역에서 연속적으로 일어나는 사건이기 때문에 비슷한 시공간적 규모를 갖는 기후현상과 통계적인 연관성을 가질 가능성이 높아 본 연구의 대상 해충으로 선택하였다. MWR 통계 분석의 반응변수로써 1983년부터 2014년까지 국내 벼멸구 발생면적 자료를 사용하였고, 10개의 기후모형에서 생산되는 10개의 기후변수를 예보 선행시간별로 추출하여 설명변수로 사용하였다. 최종적으로 선정된 각 MWR 모형의 특정 시기와 지역의 기후변수는 연간 벼멸구 발생면적 자료와 통계적으로 유의한 상관관계를 보였다. 결론적으로, 본 연구에서 개발한 MWR 통계 모형을 통해 국내 벼멸구 발생 위험도에 따른 선제적 대응을 위한 벼멸구 계절전망이 가능할 것으로 보인다.