• 한국조경학회지
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• 제19권3호
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• pp.55-71
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• 1991

The purpose of this thesis is to suggest objective basic data for the environmental design through the quantitative analysis of the visual quality included in the physical environment of Basemsagol valley sequence landscape. For this, visual volumes of physical elements have been evaluated by using the mesh analysis, spatial images structure of physical elements have been analyzed by factor analysis algorithm, and degree of visual quality have been measured mainly by questionnaires. Also, this study aims to understand semiotics and to grope the possibility of application to the sequence landscape assessment. A semiological approach suggests a new dimension in sequence landscape assessment, which is a contrast to the existing scientific evaluation methods. Result of this thesis can be summarized as follows. Visual volumes of the immediate vegetation, rock, bridge, road and distant vegetation are found to be the main factor determining the visual quality. Factors covering the spatial image of natural park sequence landscape have been found to be the overall synthetic evaluation, potentiality, natural quality, spatial, appeal and dignity. By using the control method for the number of factors, T.V. has been obtained as 40.22%. The characteristics of the semiological approach is qualitative, open, holistic, and experiential, whereas that of the scientific approach is quantitative, closed, reductive, and experimental.

• 한국디지털건축인테리어학회논문집
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• 제11권2호
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• pp.41-50
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• 2011

Skeptical responses to urban design based on the Physical Planning theory assuming the existence of social agreement and the absolute authorities of planners bring about alternatives such as Participatory Planning and Community Design derived from Harbermas' Communicative Rationality. But the normative contentions do not progress any more to the stage of presenting practical strategies. This is the cause why there should be systematic approaches to reveal the relationships among various concepts or variables. With regard to the Community Design this study intends to take a statistical approach to find relationship between project scale and its accomplishment. The hypothesis that the smaller scale of project begets the better outcomes was tested to be rejected as a result of the analysis of variance. But the result also shows that appropriate density in relatively large area makes residents' expected satisfaction high. Although this discovery has its own meaning the tryout is anticipated to laying the cornerstone of quantitative analyses in the following studies.

• 한국IT서비스학회지
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• 제14권4호
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• pp.185-197
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• 2015

As the uncertainty of demand in B2B electronics market has increased, firms need a strong method to estimate the market demand. An accurate prediction on the market demand is crucial for a firm not to overproduce or underproduce its goods, which would influence the performance of the firm. However, it is complicated to estimate the demand in a B2B market, particularly for the private sector, because firms are very diverse in terms of size, industry, and types of business. This study proposes both qualitative and quantitative demand forecasting approaches for B2B PC products. Four different measures for predicting PC products in B2B market with consideration of the different PC uses-personal work, common work, promotion, and welfare-are developed as the qualitative model's input variables. These measures are verified by survey data collected from experts in 139 firms, and can be applied when individual firms estimate the demand of PC goods in a B2B market. As the quantitative approach, the multiple regression model is proposed and it includes variables of region, type of industry, and size of the firm. The regression model can be applied when the aggregated demand for overall domestic PC market needs to be estimated.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.308-314
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• 2013

Although global construction spending has experienced slow growth due to consecutive economic crises, global contractors have consistently attempted to expand their overseas market share, leading to more intense competition among contractors in the international construction market. In this market environment, owners, clients and financial institutions require reasonable and systematic criteria to effectively assess the business capabilities of international construction firms. However, the existing evaluation methods for construction firms rarely consider overseas-focused business capabilities. To address this problem, this study proposes a quantitative approach to assessing the overseas business capabilities of international construction firms. The limitations of existing approaches are reviewed, and the capabilities required to perform overseas businesses are analyzed through expert interviews. Finally, 18 evaluation indices are suggested in four categories: technology resources, project management, experience and performance, and sustainability. The relative weight of each index is determined according to the Analytical Hierarchy Process (AHP) method, and a preliminary investigation of 11 Korean construction firms is conducted. The proposed method is expected that it will provide the rational criteria for international owners, clients, and financial institutions for decision-making and for evaluating international contractors.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.133-133
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• 2021

The performance of radar Quantitative Precipitation Estimation (QPE) using Long Short-Term Memory (LSTM) networks in hydrological applications depends on either the quality of data or the three-dimensional CAPPI structure from the weather radar. While radar data quality is controlled and enhanced by the more and more modern radar systems, the effect of CAPPI structure still has not yet fully investigated. In this study, three typical and important types of CAPPI structure including inverse-pyramid, cubic of grids 3x3, cubic of grids 4x4 are investigated to evaluate the effect of CAPPI structures on the performance of radar QPE using LSTM networks. The investigation results figure out that the cubic of grids 4x4 of CAPPI structure shows the best performance in rainfall estimation using the LSTM networks approach. This study give us the precious experiences in radar QPE works applying LSTM networks approach in particular and deep-learning approach in general.

• 정보처리학회논문지D
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• 제12D권7호
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• pp.993-1000
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• 2005

최근에 ISO/IEC 9126과 ISO/IEC 14598에 기반한 소프트웨어 품질 평가는 다양한 분야에서 넓게 받아들여지고 있다. 그러나 소프트웨어 품질에 대한 이러한 표준들은 소프트웨어 제품에 대한 품질 모델과 품질 평가 프로세스의 실제적인 활용을 위한 지침을 제공하고 있지 않다. 그리고 대부분의 소프트웨어 사업에서 품질관리는 이러한 표준을 적용하기보다는 결함사항을 관리하는 방식으로 수행되고 있다. 그래서 본 논문에서는 국방 CBD 방법론의 산출물에 대한 정량적 품질 평가 방법을 제시한다. 특히, 본 논문에서 제시된 방법은 대부분의 표준 품질 평가 프로세스를 허용하면서 소프트웨어에 대한 이해관계자들에게 신중하게 작성된 설문서를 제시하여 얻어진 자료를 AHP 기법을 통하여 분석된 품질특성의 중요도를 이용하는 정량적 품질 모델을 적용한다. 또한, 소규모 소프트웨어 사업에서 얻어진 국방 CBD 방법론의 산출물에 대하여 품질평가 점검표를 적용하여 제안된 방법을 시험하였다. 결과적으로 제시된 방법은 고품질 소프트웨어를 획득하는 것이 가능함을 확인할 수 있었다.

• 한국측량학회지
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• 제32권2호
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• pp.153-162
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• 2014

다양한 분야에서 CCTV가 널리 활용되고 있으며, CCTV의 감시 성능을 개선하기 위한 노력들이 지속되고 있다. 그러나, 정작 감시 성능을 정량적으로 평가하는 방법은 상당히 미비하다. 이에 본 연구는 CCTV 시스템이 대상 공간을 주어진 감시 목적에 부합하게 잘 감시하는가를 정량적으로 평가하는 방법을 제안한다. 먼저 대상 공간의 특정한 위치에서 특정한 방향을 바라보는 객체가 CCTV로 얼마나 정밀하게 관측되는 가를 정량적으로 나타내는 감시 해상도를 정의한다. 정의된 감시 해상도를 대상 공간에서 관심 있는 모든 위치와 방향에 대해 계산하여 감시 목적에 따라 요구되는 최적의 해상도 이상이 성취되는 비율로써 대상 공간에 대한 감시 성능 지수를 산출한다. 제시된 방법을 적용하여 대형 건물 지하주차장에 설치된 CCTV 시스템의 감시 성능을 평가하고 가시화하여 분석하고 개선하는 사례를 기술한다. 제안된 방법은 대상 공간이 감시 목적에 맞게 효과적으로 감시되고 있는지 정량화하여 평가하고, 대상 영역을 요구 성능으로 감시하기 위한 CCTV 시스템 설계의 최적화에 기여한다.

• Journal of Electrical Engineering and Technology
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• 제2권3호
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• pp.386-390
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• 2007

At recent times, an essential issue in the replacement of the old analogue I&C to computer-based digital systems in nuclear power plants becomes the quantitative software reliability assessment. Software reliability models have been successfully applied to many industrial applications, but have the unfortunate drawback of requiring data from which one can formulate a model. Software that is developed for safety critical applications is frequently unable to produce such data for at least two reasons. First, the software is frequently one-of-a-kind, and second, it rarely fails. Safety critical software is normally expected to pass every unit test producing precious little failure data. The basic premise of the rare events approach is that well-tested software does not fail under normal routine and input signals, which means that failures must be triggered by unusual input data and computer states. The failure data found under the reasonable testing cases and testing time for these conditions should be considered for the quantitative reliability assessment. We presented the quantitative reliability assessment methodology of safety critical software for rare failure cases in this paper.

• Industrial Engineering and Management Systems
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• 제14권4호
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• pp.392-400
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• 2015

Monitoring of plasma etch processes for fault detection is one of the hallmark procedures in semiconductor manufacturing. Optical emission spectroscopy (OES) has been considered as a gold standard for modeling plasma etching processes for on-line diagnosis and monitoring. However, statistical quantitative methods for processing the OES data are still lacking. There is an urgent need for a statistical quantitative method to deal with high-dimensional OES data for improving the quality of etched wafers. Therefore, we propose a robust relevance vector machine (RRVM) for regression with statistical quantitative features for modeling etch rate and uniformity in plasma etch processes by using OES data. For effectively dealing with the OES data complexity, we identify seven statistical features for extraction from raw OES data by reducing the data dimensionality. The experimental results demonstrate that the proposed approach is more suitable for high-accuracy monitoring of plasma etch responses obtained from OES.

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2006년도 The 15th Korean Genome Organization Conference KOGO 2006 Annual Meeting
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• pp.41-41
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• 2006