• 한국실내디자인학회논문집
• /
• 제13권5호
• /
• pp.56-65
• /
• 2004

This study divides the expression techniques of Zaha Hadid into various types who has manipulated her targeted drawings as her unique design tools in the process of architectural design, analyzes them in terms of the vanishing point, visual point for observation and object of observation and attempts to figure out how the multi-visual expression is applied in the conception of form and space and method of observation. By doing so, this study will suggest the characteristics of the expression techniques using multi-visual. Through the above study, the utilization and characteristics of multi-visual expression of the architecture design process of Zaha Hadid are summarized as follows. Firstly, Zaha Hadid utilizes the strained multi-visual perspective technique which can look out over the interaction between masses simultaneously at multi-angles by changing a perspective drawing of vanishing point 1, 2, and 3. Secondly, it utilizes a landscape perspective technique and embodies an Idea of landscape's spatial arrangement through it as the means to search a dynamic relation of architecture, city, land, and space. Thirdly, there is a projected expression using X-ray perspective technique to make the relations between inside and outside of building to three-dimension volume. Zaha Hadid has used the expression techniques using multi-visual by utilizing various points and has developed and used them as her creative tools for idea. By means of escaping from the expression techniques of simple revival, she has used a new expression technique that can represent recognized space. In the past, the content could change the expression techniques in architecture; however, the liberation of architectural expression techniques can change the content in modern times when require new attempts.

• 대한산업공학회지
• /
• 제40권1호
• /
• pp.8-17
• /
• 2014

In this research, we employed various data mining techniques to build predictive models for win-loss prediction in Korean professional baseball games. The historical data containing information about players and teams was obtained from the official materials that are provided by the KBO website. Using the collected raw data, we additionally prepared two more types of dataset, which are in ratio and binary format respectively. Dividing away-team's records by the records of the corresponding home-team generated the ratio dataset, while the binary dataset was obtained by comparing the record values. We applied seven classification techniques to three (raw, ratio, and binary) datasets. The employed data mining techniques are decision tree, random forest, logistic regression, neural network, support vector machine, linear discriminant analysis, and quadratic discriminant analysis. Among 21(= 3 datasets${\times}$7 techniques) prediction scenarios, the most accurate model was obtained from the random forest technique based on the binary dataset, which prediction accuracy was 84.14%. It was also observed that using the ratio and the binary dataset helped to build better prediction models than using the raw data. From the capability of variable selection in decision tree, random forest, and stepwise logistic regression, we found that annual salary, earned run, strikeout, pitcher's winning percentage, and four balls are important winning factors of a game. This research is distinct from existing studies in that we used three different types of data and various data mining techniques for win-loss prediction in Korean professional baseball games.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2005년도 ICCAS
• /
• pp.700-705
• /
• 2005

The purpose of this project is the derivation and development of techniques for the new estimation of robustness for the systems having uncertainties. The basic ideas to analyze the system which is the originally nonlinear is Lyapunov direct theorems. The nonlinear systems have various forms of terms inside the system equations and this investigation is confined in the form of bounded uncertainties. Bounded means the uncertainties are with same positive/negative range. The number of uncertainties will be the degree of freedoms in the calculation of the stability region. This is so called the robustness bounds. This proposition adopts the theoretical analysis of the Lyapunov direct methods, that is, the sign properties of the Lyapunov function derivative integrated along finite intervals of time, in place of the original method of the sign properties of the time derivative of the Lyapunov function itself. This is the new sufficient criteria to relax the stability condition and is used to generate techniques for the robust design of control systems with structured perturbations. Using this relaxing stability conditions, the selection of Lyapunov candidate function is of various forms. In this paper, the quadratic form is selected. this generated techniques has been demonstrated by recent research interest in the area of robust control design and confirms that estimation of robustness bounds will be improved upon those obtained by results of the original Lyapunov method. In this paper, the symbolic algebraic procedures are utilized and the calculating errors are reduced in the numerical procedures. The application of numerical procedures can prove the improvements in estimations of robustness for one-and more structured perturbations. The applicable systems is assumed to be linear with time-varying with nonlinear bounded perturbations. This new techniques will be extended to other nonlinear systems with various forms of uncertainties, especially in the nonlinear case of the unstructured perturbations and also with various control method.

• 복식
• /
• 제62권1호
• /
• pp.90-103
• /
• 2012

Felt, is one of the Korean traditional woolen fabrics, that is thermally excellent and durable, so it has been widely used for various living goods from the ancient time to the modern society. Felt makes various changes in colors and shapes, does not change easily even after a long-term use, and is easy to clean. In this study, the origin and history of felt were researched. Also, different kinds and shapes of felt and the currently used manufacturing technique, and how the Korean traditional pattern-applied cultural products were developed using felt were examined as well. The method of this study were as follows. First, felt manufacturing techniques used after investigating the precedent studies, books, records and literatures of museums, the existing relics of felt were examined. Second, the conditions of the traditional pattern-applied cultural products were found out through the precedent studies after examination of kinds and symbols of the Korean traditional patterns. Third, patterns that were applied to cultural products were selected and designed with new patterns. Fourth, the past techniques were conducted with the following three methods by referring to the range of cultural products manufacturing; )color felt made with one color, pattern felt, and pattern-embroidered felt. Fifth, the following products combined with decoration and practical application by applying felt techniques were used. This study was aiming at the development of practical cultural products made with the traditional wool, felt, which can receive a good response from all age groups. It is allegedly required to develop various cultural products through studies and the rediscovery of the national traditional materials. In the future, it is necessary to study in such a way that diversification and differentiation are made through approaches and attempts with various techniques.

• 한국정보과학회논문지:데이타베이스
• /
• 제36권2호
• /
• pp.63-72
• /
• 2009

디지털 포렌식이란 범죄와 관련된 전자적 증거를 찾아내는 것이다. 사이버 범죄가 날로 증가하는 가운데 전자적 증거를 찾아내는 디지털 포렌식 연구의 중요성도 부각되고 있다. 현재 디지털 포렌식 분야는 디지털 포렌식을 위한 전반적인 프로세스 모델과 디스크 포렌식, 네트워크 포렌식, 시스템 포렌식, 데이타베이스 포렌식과 같은 분야별 분석기법에 대한 연구가 진행되고 있다. 지금까지 데이타베이스 포렌식 분야에서는 특정 벤더에 종속적인 분석기법을 제안하기 때문에 다양한 데이타베이스에서 일반적으로 사용할 수 있는 프로세스 모델 및 분석기법에 대한 연구를 진행되지 않고 있다. 이 논문은 디지털 포렌식분야 중 데이타베이스 포렌식을 위한 논문으로 데이타베이스 포렌식의 프로세스 모델과 분석기법을 통합한 모델을 제안한다. 제안하는 데이타베이스 포렌식 모델(DFM)은 기존 문제를 해결하고 각 상황과 목적에 따라 데이타베이스를 분석 할 수 있으며 다양하게 발생할 수 있는 데이타베이스 분석에서 정형화된 모델과 분석기법을 사용 할 수 있다. 실험은 다양한 데이타베이스 분석에서 제안하는 DFM을 실제 적용함으로써 현장에서 증거 수집뿐만 아니라 데이타들의 관계를 분석하는 것까지 적용 가능한 것을 확인 할 수 있다.

• 창의정보문화연구
• /
• 제5권2호
• /
• pp.157-164
• /
• 2019

빅데이터는 최근 우리 사회에 다양한 분야에서 활용하고 발전하고 있는 분야이다. 정치, 경제, 사회의 각 분야에서 많은 자료를 분석하여 자료에 숨어 있는 다양한 의미를 파악하는 빅데이터 분석 기법이 자주 활용되고 있다. 하지만 교육이라는 부분에 있어서 빅데이터는 단순한 분석 등에 활용하기는 하지만 교육과정과 방향에 대한 분석은 아직 미비한 실정이다. 이에 본 연구에서는 빅데이터 분석 기법을 활용하여 중학교 정보 교과서의 핵심 개념을 파악하여 분석하고자 한다. 정보 교과서 분석을 위한 빅데이터 분석법은 텍스트 마이닝을 사용하였다. 이 프로그램을 활용하여 파악된 중학교 정보 교과서의 핵심 개념들을 통해 교과서에서 강조하고자 하는 개념을 확인할 수 있었고, 교육 분야에서도 빅데이터 활용 가능성을 확인할 수 있었다.

• 패션비즈니스
• /
• 제21권3호
• /
• pp.43-57
• /
• 2017

This study concerns visual humor in fake technique fashion. While previous studies focused mainly on expression techniques of fake technique fashion, this study analyzed visual humor in fake technique fashion based on classification criteria of visual humor expression techniques, differenting this study from other studies. The purpose of this study was to derive visual humor in fake technique fashion by classifying cases of fake technique fashion, and re-classifying outcomes of primary classification based on criteria of visual humor expression techniques. As for methods, this theoretical study was conducted on humor, expression techniques of visual humor, fake fashion and fake expression techniques through literature review. Subsequently, 485 fake technique fashion images obtained from research were classified by expression techniques, and cases of fake technique fashion were analyzed. In addition, by combining this theoretical study with case studies, fake technique fashion was re-classified according to criteria of visual humor expression techniques to derive the characteristics of visual humor in fake technique fashion. Based on visual humor expression techniques, visual humor in fake technique fashion was created by distortion and transformation that made the fake look real by distorting or transforming the fake, enlargement and reduction that created new forms by altering familiar forms, and typeplay that added fun by changing familiar luxury logos into various forms.

• 해양환경안전학회지
• /
• 제26권3호
• /
• pp.254-261
• /
• 2020

Welding is the most convenient method for fabricating steel materials to build ships and of shore structures. However, welding using high heat processes inevitably produces welding displacements on welded structures. To mitigate these, heavy industries introduce various welding techniques such as back-step welding and skip-step welding. These techniques effect on the change of the distribution of high heat on welded structures, leading to a reduction of welding displacements. In the present study, various cases using different and newly introduced welding techniques are numerically simulated to ascertain the most efficient technique to minimize welding displacements. A numerical simulation using a finite element method based on the inherent strain, interface element and multi-point constraint function is introduced herein. Based on several simulation results, the optimal welding technique for minimizing welding displacements to build a general ship grillage structure is finally proposed.

• 터널과지하공간
• /
• 제7권4호
• /
• pp.274-283
• /
• 1997

It is necessary to estimate the soundness of tunnel using non-destructive tests(NDT) for effective repairs and maintenances. But, the state of tunnel lining could not be investigated using previous non-destructive techniques, due to the various types of support and accessibility only from one side in tunnel lining. Recently, the various non-destructive techniques such as ground penetrating radar(GPR) have been researched and developed for inspection of tunnel lining. In this study, the usefulness and applicability of GPR test in tunnel lining inspection has been investigated through model tests and tunnel site application. This paper described the tunnel lining inspection for lining thickness, cavity and support using GPR test. From the results of tests, we have concluded that GPR test are very useful and effective techniques to look into the interior of lining and measure the lining thickness.

• 한국근적외분광분석학회:학술대회논문집
• /
• 한국근적외분광분석학회 2001년도 NIR-2001
• /
• pp.1127-1127
• /
• 2001

The transfer of predictive models using various chemometric techniques has been reported for FTNIR and scanning-grating based NIR instruments with respect relatively dry samples (<10% water). Some of the currently used transfer techniques include slope and bias correction (SBC), direct standardization (DS), piecewise direct standardization (PDS), orthogonal signal correction (OSC), finite impulse transform (FIR) and wavelet transform (WT) and application of neural networks. In a previous study (Greensill et at., 2001) on calibration transfer for wet samples (intact melons) across silicon diode array instrumentation, we reported on the performance of various techniques (SBC, DS, PDS, double window PDS (DWPDS), OSC, FIR, WT, a simple photometric response correction and wavelength interpolative method and a model updating method) in terms of RMSEP and Fearns criterion for comparison of RMSEP. In the current study, we compare these melon transfer results to a similar study employing pairs of spectrometers for non-invasive prediction of soluble solid content of peaches.