• 한국실내디자인학회논문집
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• 제24권2호
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• pp.171-179
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• 2015

The aim of this study is to figure out the preference features on design components of shop facade on the basis of the questionnaire survey on short-term memory and sensory memory of human right after an image experiment. As for a preceding research, this study examined the design features of facade into tangible elements and intangible elements, and also classified them into physical, aesthetical, marketing and symbolic components in detail. And, it extracted 5 representative elements in preceding studies including shape, material, pattern, color and sign, which is the standard of a questionnaire survey and preference analysis. The subjects of the experiment were 30 men and women who were over 20 years old majoring interior design. They were exposed to 20 images with 10 seconds respectively through a video, and were asked to respond the questionnaire promptly. The findings of preference analysis of design components of facade including shape, material, pattern, color and sign are as follows. Firstly, shape was the most interesting and attracting component, and designs applied with shape of objects such as 'web', 'drawer', 'wheel' and 'button' obtained high preference. Secondly, as for material, block, steel, exposed concrete board attracted higher preference as memorable materials than other materials. Material was affected by shape, pattern and color. Thirdly, pattern was the most lasting element. Designed pattern had higher preference than simple pattern. Fourthly, as for color, red and green with strong stimulation and attention attained priority having long lasting memory. Fifthly, when visiting a shop, sign out of 5 elements of shape, material, pattern, color and sign drew attention the most. As for the preference of location of sign, 'center top' was the most noticeable. The findings of this study could be utilized for facade design, and also could be used for commercialization considering highly preferred components, and top preference aspects of such elements. advised that to give an impression to customers is important to make a successful design for sales marketing, which, in turn, would lead customers to revisit the shop.

• 한국전자거래학회지
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• 제7권1호
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• pp.129-140
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• 2002

To succeed in ERP construction, the purpose of ERP setup must be completed. To accomplish this end, it is required to analysis business process completely and make a plan in detail. For ERP providers', they must support a characterized ERP construction methodology and lower the construction cost by improving an ERP package by making it easy to customize. But, because imported EHP products that are supplied currently are designed for the standard and the rationality, they have a limit to support custom processes of domestic companies. On the contrary, ERP products by domestic companies are unable to support a consistent methodology of constructing ERP system. This is a main reason why much time and costs are consumed than that of an original plan. For solving the problems, ERP packages should provide a consistent process modeling methodology and a modeling tool which can support this methodology. Furthermore, customizing cost must be lowered by implementing reusable components from the process models. This Paper describes a component-based ERP Package system which has peculiar modeling tools and development tools. We describe the modeling methodology and the business component definition of the ERP system. Finally, we describe its customizing process based on these process designs and business components.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2006년도 하계 학술대회 논문집
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• pp.53-56
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• 2006

이 논문에서 제시된 알고리즘은, 원 이미지에서 저주파를 성분을 덜어내어 얻은 성분과 원 이미지의 컴비네이션을 통해 대상 이미지를 좀 더 선명하게 하는 역할을 하도록 고안되었다. 여기에서 이미지의 저주파를 선택하기 위해 가우시안 스무딩 방법이 선택되었다. 또한 이미지의 전체적인 밝기를 유지하기 위하여 제시될 필터의 이득의 크기도 고려하였다. MATLAB으로 검증된 알고리즘을 바탕으로, 제안한 알고리즘을 통해 이전 보다 더 상세하고 선명한 이미지를 확인 할 수 있었다.

• Smart Structures and Systems
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• 제11권6호
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• pp.589-604
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• 2013

Identification of damage has become an evolving area of research over the last few decades with increasing the need of online health monitoring of the large structures. The visual damage detection can be impractical, expensive and ineffective in case of large structures, e.g., offshore platforms, offshore pipelines, multi-storied buildings and bridges. Damage in a system causes a change in the dynamic properties of the system. The structural damage is typically a local phenomenon, which tends to be captured by higher frequency signals. Most of vibration-based damage detection methods require modal properties that are obtained from measured signals through the system identification techniques. However, the modal properties such as natural frequencies and mode shapes are not such good sensitive indication of structural damage. Identification of damaged jacket type offshore platform members, based on wavelet packet transform is presented in this paper. The jacket platform is excited by simple wave load. Response of actual jacket needs to be measured. Dynamic signals are measured by finite element analysis result. It is assumed that this is actual response of the platform measured in the field. The dynamic signals first decomposed into wavelet packet components. Then eliminating some of the component signals (eliminate approximation component of wavelet packet decomposition), component energies of remained signal (detail components) are calculated and used for damage assessment. This method is called Detail Signal Energy Rate Index (DSERI). The results show that reduced wavelet packet component energies are good candidate indices which are sensitive to structural damage. These component energies can be used for damage assessment including identifying damage occurrence and are applicable for finding damages' location.

• 한국수자원학회논문집
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• 제41권10호
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• pp.1035-1044
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• 2008

하도내에서 발생하는 유출량 및 TOC 자료는 비선형성이 강한 자료임에 따라 홍수에 대한 재난대응과 수질의 상시감시를 위해서는 자료의 특성 분석과 예측에 관한 연구는 필수라 할 수 있다. 따라서 본 연구에서 유출량 및 TOC, TOC부하량 자료에 대한 웨이블렛 변환에 의해 최종분해된 최종파형분해단계의 근사성분과 상세성분을 이용하여 예측모형을 개발하였다. 그 결과 기존 인공신경망 모형에서 관찰되었던 시계반대 방향으로 전이되는 지속현상의 극복 가능성을 보여주었으며, 기존 인공신경망 모형에 비하여 예측의 정확도가 향상됨을 확인할 수 있었다. 이러한 연구결과는 향후 홍수에 대한 피해를 최소화하고 각종 수질사고에 적극적인 대응방안 수립이 가능할 것으로 기대된다.

• 한국정보처리학회논문지
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• 제6권4호
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• pp.941-951
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• 1999

정보저장소에 저장된 클래스 부품들은 검색, 추출과정을 통한 부품의 다양한 시각적 정보가 부족하고 정확한 정보의 표현 기능이 요구되고 있다. 따라서 본 연구는 클래스 부품을 정보저장소에 저장하기 위해 객체의 구문분석 방법과 추출 Viewer 기능을 연구하였다. 분석과정에서는 클래스명, 멤버함수, 속성 등을 추출하고 클래스 자체정보와 클래스 사이의 상속관계, View를 위한 다이어그램 정보 등을 추출하였다. 또한 추출한 분석정보를 시각적으로 표현할 수 있는 추출 Viewer 기능을 구현하여 클래스 부품의 재사용과 생성, 삽입, 삭제 기능을 보였다. Viewer 기능은 객체의 상속관계와 클래스에 대한 구성정보를 보여주며, 단순한 부품의 재사용에 그치지 않고 클래스를 생성할 수 있는 기능을 추가하여 클래스 부품의 효율적 관리와 재사용성을 높이도록 하였다. 따라서 본 연구는 클래스 부품 정보, 상속관계, 계층도의 정보와 프로세스 등으로 분류하였고 추출 Viewer 기능을 통한 객체의 이해력을 높이고, 객체 생성을 위한 프로토타입을 지원한다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집C
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• pp.548-553
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• 2001

Recently, much attention is imposed on the design of the fuel assemblies in the Pressurized Light Water Reactor (PWR). Spacer grid is one of the main structural components in a fuel assembly. It supports fuel rods, guides cooling water and protects the system from the external impact loads. Various space grids have been proposed and new designs are also being created. In this research, a new spacer grid is designed by the axiomatic approach. The Independence Axiom is utilized for the design. For conceptual design, functional requirements (FRs) are defined and corresponding design parameters (DPs) are found to satisfy FRs in sequence. Overall configuration and shapes are determined in this process. Detail design is carried out based on the result of the axiomatic design. For the detail design, the system performances are evaluated by using linear and nonlinear finite element analysis. The dimensions are determined by optimization. Some commercial codes are utilized for the analysis and design.

• 대한기계학회논문집A
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• 제26권8호
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• pp.1623-1630
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• 2002

Recently, much attention is imposed on the design of the fuel assemblies in the Pressurized Light Water Reactor (PWR). Spacer grid is one of the main structural components in a fuel assembly. It supports fuel rods, guides cooling water, and maintains a coolable geometry from the external impact loads. In this research, a new shape of the spacer grid is designed by the axiomatic approach. The Independence axiom is utilized for the design. For conceptual design, functional requirements (FRs) are defined and corresponding design parameters (DPs) are found to satisfy FRs in sequence. Overall configuration and shapes are determined in this process. Detail design is carried out based on the result of the axiomatic design. For the detail design, the system performances are evaluated by using linear and nonlinear finite element analysis. The dimensions are determined by optimization. Some commercial codes are utilized for the analysis and design.

• 한국압력기기공학회 논문집
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• 제12권1호
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• pp.101-106
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• 2016

NSSS (Nuclear Steam Supply System) and BOP (Balance of Plant) design works for PGSFR (Prototype Gen-IV Sodium Fast Reactor) have been conducted in Korea. NSSS major components, e.g. reactor vessel, steam generator and secondary sodium main pipes, are designed according to the rule of ASME boiler and pressure vessel code division 5, in which DBA (Design by Analysis) methods are used in the stress assessments. However, there is little discussions about detail rules for BOP piping design. In this paper, the detail methodologies of BOP piping stress assessment are discussed including safety systems and non-safety system pipings. It is confirmed that KEPIC MGE(ASME B31.1) and ASME BPV code division 5 HCB-3600 can be used in stress assessments of non-safety pipes and class B pipes, respectively. However, class A pipe design according to ASME BPV code division 5 HBB-3200 has many difficulties applying to PGSFR BOP design. Finally, future development plan for class A pipe stress assessment method is proposed in this paper.

• 한국물환경학회지
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• 제22권5호
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• pp.952-957
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• 2006

The present study applied wavelet transform and artificial neural networks (ANNs) for the prediction of daily TOC data. TOC data were transformed into denoised data by the wavelet transform and the noise-reduced data were used for the prediction model by artificial neural networks. For the application of wavelet transform, Daubechies wavelet of order 10 ('db10') was used as a basis function and decomposed the TOC data up to fifth level with five detail components and one approximation component. ANNs were calibrated with the input data of the segregated TOC data corresponding to the details from second to fifth level and the approximation. Consequently, the ANNs model for the prediction of daily TOC data showed the best result when it had seventeen hidden nodes in its layer.