• 한국실내디자인학회논문집
• /
• 제17권1호
• /
• pp.69-76
• /
• 2008

The purpose of this study is to analyze the interior characteristics of the Yale center for British art by Louis I. Kahn. As his last realized project, the Yale center for British art shows Kahn's latter architectural thoughts about exterior/interior, space/structure and theory/practice. Kahn arranged unit space(room) around two interior courts and laminated them vertically. This spatial configuration is the result of solving the urban context which needed the continuity of street and complicated program including art museum, retail shop, studio and library. Although Kahn adpted severe formal configuration, he added changes to spatial relation. The visualization of architectural system is realized by revealing the relation of the unit space and structure. And this emphasized the presence of the center. The emphasis of tectonic expression is also the characteristics of interior in that structure is the logical part of whole building system rather than concealing object for the exterior of buildings. In the Yale center for British art, interior characteristics are summarized as spatial configuration based on the relation between unit space and two courts, the visualization of structural order, and the relationship between structure and light.

• 한국전산유체공학회:학술대회논문집
• /
• 한국전산유체공학회 2010년 춘계학술대회논문집
• /
• pp.347-351
• /
• 2010

In this paper, our effort to apply 3-D Virtual Reality system for stereoscopic visualization of flow data is briefly described. This study is an extension of our previous and on-going research efforts to develop DATA(Data Analysis and Visualization Application) program, which is a data visualization program developed by using Qt as GUI development environment and OpenGL as graphic library. The program is developed upon the framework of object-oriented programming and it was originally developed by using Qt 3.3.3 environment. In this research the program is converted into a Qt 4.3.3-compatible version, and this new version is developed on Visual Studio 2005. And to achieve a stereoscopic viewing capability, two graphic windows are used to render its own viewing image for the lift and right eye respectively. These two windows are merged into one image using 3D monitor and the viewers can see the data visualization results with stereoscopic depth effects by using polarizing glasses. In this paper three dimensional data visualization with stereoscopic technique combined with 3D Monitor is demonstrated, and the current achievement would be a good start-up for further development of low-cost high-quality stereoscopic data visualization system.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권9호
• /
• pp.455-466
• /
• 2020

The purpose of the paper is to explore the country-of-origin (COO) influence on the buying decisions of the United Arab Emirates (UAE) consumers. The collected data from 370 consumers were summarized and coded by using Software R Studio and Microsoft Excel. The independent variables were analyzed and tested for their significant impact on the dependent variable, final buying decision of the product/service based on its country of origin. The selected hypotheses tested by administering the Kruskal-Wallis (K-W) hypothesis testing technique. The researchers identified that UAE consumers buying decisions influenced mainly by the country of origin of the products and services. The demographic variables like age, education, country of origin influential factors, country of choice was not displaying any significant impact on the buying decisions of consumers. The survey is limited to cover the general consumers of the country who are randomly selected from Dubai and Sharjah emirates. The study is beneficial to all the types of marketers, including domestic and international companies, who have plans to know the exact influence on consumers' buying decisions. The present research paper is original and provides empirical evidence on the country of origin's impact on the buying decisions of different products/services in the UAE.

• 보존과학회지
• /
• 제36권5호
• /
• pp.351-367
• /
• 2020

신구법천문도 3점(국립민속박물관 소장 『천문도(병)』, 『신구법천문도 8폭 병풍』, 일본 국회도서관 소장 『황도남북양총성도』)에 대한 채색 안료 분석 및 이를 통한 제작시기를 추정하였다. 『천문도(병)』에서는 조선에서 널리 사용되어오던 석청(남동광), 청화(쪽), 석록(공작석), 하엽(아타카마이트), 주, 석간주(산화철), 연지(코치닐), 등황, 석자황, 연분, 활석 등과 같은 전통적인 유·무기질 안료들이 사용되었다. 『신구법천문도 8폭 병풍』와 『황도남북양총성도』에서는 19세기 중엽 이후 유럽에서 유입된 합성 무기안료인 양록(에메랄드 그린)과 양청(울트라마린 블루)가 사용되었다. 『신구법천문도 8폭 병풍』에서는 녹색과 청색에 합성 무기안료만 사용되었지만, 『황도남북양총성도』에서는 전통적으로 사용되어온 하엽과 청화도 함께 사용되었다. 신구법천문도의 성도와 도설 연구와 연계하여 안료 분석결과로부터 추정한 제작시기는, 조선시대 전통안료만으로 채색된 『천문도(병)』 18세기 중엽 이후로 추정되며, 『황도남북양총성도』와 『신구법천문도 8폭 병풍』은 19세기 중엽 서양의 녹색과 청색 안료가 도입된 후 제작되었다. 그리고 전통안료와 서양의 합성안료가 함께 사용된 『황도남북양총성도』가 『신구법천문도 8폭 병풍』 보다 제작시기가 빠른 것으로 추정된다.

• 한국컴퓨터정보학회논문지
• /
• 제19권10호
• /
• pp.91-97
• /
• 2014

본 논문에서는 Windows Phone 플랫폼 기반의 모바일 게임을 설계하고 구현한다. 이 게임은 비주얼 스튜디오와 윈도우 모바일 소프트웨어 개발 킷(SDK: Software Development Kit), 그리고 개발자 도구 킷(DTK Developer Tool Kit)으로 비주얼 C#언어를 사용하여 개발한다. 또한 게임 개발에 필요한 닷넷(.NET) 라이브러리의 집합인 XNA Framework를 사용한다. XNA Framework은 PC와 XBOX, ZUNE HD등 다중 플랫폼 환경을 지원하는 게임 개발 및 2D 및 3D 게임 개발에 필요한 기능들을 제공한다. XNA Framework를 사용하여 개발하기 때문에 상속받은 코드들을 자동으로 생성하고, 게임 개발 관련 리소스 및 게임 로직을 쉽게 구현할 수 있다. 이 게임의 특징은 슈팅(shooting), 이미지, 랭킹시스템 등의 3개 요소를 고려하여 개발한 것이다.

• 한국실내디자인학회논문집
• /
• 제14권6호
• /
• pp.177-184
• /
• 2005

The 21st Century Museum of Contemporary Art, Kanazawa as a regional public culture facility is the place where it is possible to think over the roles and meanings of a museum. The urn of this research is to provide information for exploring a desirable direction of the design of a regional museum by analyzing the architectural meanings and public property of the 21st Century Museum of Contemporary Art, Kanazawa. In addition, we arranged the totes and meanings of a regional museum and the concept of the public property in architecture. We also analyzed the architectural quality and the expression of the public property in this museum, as well as the value and meaning of a museum through field researches. The results of this research are as follows. First, this museum breaks with the existing stereotyped Idea to be a space open to the citizens. It secures a wide public space and provides the convenience of access and every facility for citizens. Second, the floor plan is divided into the interchanging area for citizens and an exhibition area; the outskirts of the inside of the museum are planned to be used free of charge for an interchanging space of citizens as a public-owned space of citizens. Third, the public-owned space of citizens includes a citizen exhibition hall, an art library, a kids studio and rest space, which ate all designed lot everyone to enjoy freely. Last, the exterior shape of the museum is simple but harmonize with the surroundings. It has an unique shape showing the local identity, and its most special properties are the convenience of access, introduction of a free space inside, and security of a huge space for children and citizens.

• 디지털융복합연구
• /
• 제19권11호
• /
• pp.17-22
• /
• 2021

본 논문에서는 기존의 인포그래픽 제작방식을 개선하기 위하여 기계학습 기반의 인포그래픽 자동 추천 시스템을 제안하였다. 이 시스템은 복수의 인포그래픽 이미지를 기계학습하는 부분과 사용자의 기초자료 입력만으로 인포그래픽을 인공지능으로 자동 추천하는 부분으로 구성된다. 추천된 인포그랙픽은 라이브러리 형태로 제공되고, 드래그 & 드롭방식으로 추가적인 자료의 입력이 가능하게 된다. 또한, 입력한 자료의 크기에 따라 인포그래픽 이미지가 동적으로 조절되도록 설계하였다. 기계학습 기반의 인포그래픽 자동 추천 과정을 분석한 결과 레이아웃과 키워드에 대한 일치 성공율은 매우 높고, 타입에 대한 일치 성공률은 다소 낮게 나타났다. 추후 인포그래픽 부분별 이미지 타입에 대한 일치 성공률을 향상시키기 위한 연구가 필요할 것이다.

• 한국농공학회논문집
• /
• 제66권4호
• /
• pp.27-39
• /
• 2024

Soil texture is determined by the proportions of sand, silt, and clay within the soil, which influence characteristics such as porosity, water retention capacity, electrical conductivity (EC), and pH. Traditional classification of soil texture requires significant sample preparation including oven drying to remove organic matter and moisture, a process that is both time-consuming and costly. This study aims to explore an alternative method by developing an AI model capable of predicting soil texture from images of pre-sorted soil samples using computer vision and deep learning technologies. Soil samples collected from agricultural fields were pre-processed using sieve analysis and the images of each sample were acquired in a controlled studio environment using a smartphone camera. Color distribution ratios based on RGB values of the images were analyzed using the OpenCV library in Python. A convolutional neural network (CNN) model, built on PyTorch, was enhanced using Digital Image Processing (DIP) techniques and then trained across nine distinct conditions to evaluate its robustness and accuracy. The model has achieved an accuracy of over 80% in classifying the images of pre-sorted soil samples, as validated by the components of the confusion matrix and measurements of the F1 score, demonstrating its potential to replace traditional experimental methods for soil texture classification. By utilizing an easily accessible tool, significant time and cost savings can be expected compared to traditional methods.

• 한국통신학회논문지
• /
• 제38C권3호
• /
• pp.278-287
• /
• 2013

현대 정보 기술은 새롭고 개선된 방법으로 여러 산업들에 지속적인 제공을 하고 있다. 본 논문에서 고려한 스마트 컨테이너 공급망 관리는 사물지능(M2M)통신의 급속한 발전과 함께 고성능 센서, 컴퓨터 비전, GPS, GSM을 기반으로 형성된다. 기존 공급망관리는 실시간 컨테이너 추적에 제한이 있다는 문제점을 가지고 있다. 본 논문은 인터럽트 및 보통 정기적인 알림에 대한 컨테이너 식별 시스템과 자동 알림 시스템의 개발과 실시간 컨테이너 공급망관리의 연구 및 구현에 초점을 맞추었다. 첫째, 본 논문은 컨테이너 코드 식별 및 실시간 작업에 대해 컴퓨터 비전 라이브러리와 OCR 엔진을 비주얼 스튜디오 2010으로 구현된 식별 알고리즘을 제안하고 있다. 둘째는 실시간 컨테이너 추적 및 그 시스템의 한계에 대해 제공되는 현재 자동 알림 시스템에 대해 설명한다. 마지막으로 본 논문은 고성능 센서와 컴퓨터 비전과 함께 유비쿼터스 모바일 및 위성 네트워크와 실시간 컨테이너 추적 솔루션의 미래에 도전과 가능성을 요약하였다. 뛰어난 운영 및 보안 공급망관리의 우수한 전송을 제공하기 위해 이러한 모든 구성요소를 결합하였다.

• Asian Pacific Journal of Cancer Prevention
• /
• 제15권22호
• /
• pp.9731-9737
• /
• 2014

Large scale secular registry or surveillance systems have been accumulating vast data that allow mathematical modeling of cancer incidence and mortality rates. Most contemporary models in this regard use time series and APC (age-period-cohort) methods and focus primarily on predicting or analyzing cancer epidemiology with little attention being paid to implications for designing cancer registry, surveillance or evaluation initiatives. This research models age-specific cancer incidence rates using logistic growth equations and explores their performance under different scenarios of data completeness in the hope of deriving clues for reshaping relevant data collection. The study used China Cancer Registry Report 2012 as the data source. It employed 3-parameter logistic growth equations and modeled the age-specific incidence rates of all and the top 10 cancers presented in the registry report. The study performed 3 types of modeling, namely full age-span by fitting, multiple 5-year-segment fitting and single-segment fitting. Measurement of model performance adopted adjusted goodness of fit that combines sum of squred residuals and relative errors. Both model simulation and performance evalation utilized self-developed algorithms programed using C# languade and MS Visual Studio 2008. For models built upon full age-span data, predicted age-specific cancer incidence rates fitted very well with observed values for most (except cervical and breast) cancers with estimated goodness of fit (Rs) being over 0.96. When a given cancer is concerned, the R valuae of the logistic growth model derived using observed data from urban residents was greater than or at least equal to that of the same model built on data from rural people. For models based on multiple-5-year-segment data, the Rs remained fairly high (over 0.89) until 3-fourths of the data segments were excluded. For models using a fixed length single-segment of observed data, the older the age covered by the corresponding data segment, the higher the resulting Rs. Logistic growth models describe age-specific incidence rates perfectly for most cancers and may be used to inform data collection for purposes of monitoring and analyzing cancer epidemic. Helped by appropriate logistic growth equations, the work vomume of contemporary data collection, e.g., cancer registry and surveilance systems, may be reduced substantially.