• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.28-35
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• 2013

The construction industry has introduced the Leadership in Energy and Environmental Design (LEED) rating system to promote objective evaluations of the sustainability of buildings. Three important values to consider when implementing sustainability are the associated environmental, social, and economic impacts. Recently, researchers have begun to investigate the real estate value of LEED certified buildings in terms of the rental cost, occupancy rate, cost per unit area, and resale value in order to better understand the economic benefits of the LEED rating system. However, the economic benefits also encompass economic effects such as the impact of LEED certified buildings on neighborhood real estate values surrounding the certified buildings. This research examines whether the enhanced real estate value of LEED certified buildings in New York City extends to surrounding commercial buildings, utilizing spatial analysis via a Geographic Information System (GIS) and the hedonic pricing method to derive meaningful economic relationships. The results provide practical insights into the economic effect of LEED certified buildings that will be of interest to city officials and planners, as well as the owners, developers, investors and other stakeholders of surrounding buildings.

• Ecology and Resilient Infrastructure
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• 제2권4호
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• pp.296-304
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• 2015

급속한 기후변화에 따른 자연재해의 증가와 재해 규모의 대형화 및 다양화는 근본적인 해결 방안을 요구하고 있다. 특히 도시 공간은 도시 인구의 증가 현상과 불투수층의 기반시설에 기초하여 재해의 피해와 대응에 대한 복합적 대책을 수립해야 하는 실정이다. 이에 공공 공간인 도시의 녹색공간을 활용하여 방재공간을 확보하고, 재해저감형 공원시스템을 도입함으로써 토지 매입의 경제적 문제와 방재시스템의 문제를 동시에 해결할 수 있다. 각 지자체는 최근 발표된 국토교통부의 가이드라인을 통해 재해저감 유형별 시스템과 선도 사업을 선정하여 진행 중에 있다. 본 연구의 목적은 도시민의 생활 건강과 행복의 녹색 공간인 도보권 근린공원을 대상으로 도시의 물 관리와 소생태계 보전을 함께 갖추는 도시 녹지 공간을 방재형 근린공원의 조성 모델로 제시하는데 있다. 이를 통해 추후 기존 도시 구조 내 생활권 근린공원의 기후변화 적응 모델로 활용하는데 기여하고자 한다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2002년도 춘계종합학술대회
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• pp.322-325
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• 2002

본 논문에서는 클러스터 해석으로 알려진 고전적인 패턴인식 알고리즘인 KCN(Kohonen Clustering Network)의 문제점을 개선하기 위한 방식을 제안하였다. 제안한 방식은 퍼지시스템을 이용하여 학습하는 동안 자동적으로 이웃 반경의 크기와 학습율을 조절한다. 퍼지 시스템의 입력은 입력 데이터와 연결강도와의 거리와 거리의 변화율을 사용하였으며, 출력은 이웃 반경의 크기와 학습율을 사용하였다. 퍼지 시스템의 제어 규칙은 기존의 코호넨 클러스터링 네트워크를 이용한 시뮬레이션에 의하여 정하였다. 제안한 방식의 유용성을 입증하기 위해 Anderson의 IRIS 데이터를 이용하여, 기존의 코호넨 클러스터링 네트웍을 시뮬레이션한 결과 제안한 방식의 성능의 우수함을 확인하였다.

• 국토계획
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• 제53권7호
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• pp.49-66
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• 2018

The purpose of this study is to analyze neighborhood environmental factors affecting bicycle accidents and accidental severity in Seoul, Korea. The use of bicycles has increased rapidly as daily transportation means in recent years. As a result, bicycle accidents are also steadily increasing. Using Traffic Accident Analysis System (TAAS) data from 2015 to 2017, this study uses negative binomial regression analysis to identify neighborhood environmental factors affecting bicycle accidents and accidential severity. The main results are as follows. First, bicycle accidents are more likely to occur in commercial and mixed land use areas where pedestrians, bicycle and vehicles are moving together. Second, bicycle accidents are positively associated with road structures such as four-way intersection. In contrast, three-way intersection is negatively associated with serious bicycle accidents. The density of speed hump or street tree is negatively associated with bicycle accidents and accidential severity. This finding indicates the effect of speed limit or street trees on bicycle safety. Fourth, bicycle infrastructures are also important factors affecting bicycle accidents and accidential severity. Bicycle-exclusive roads or bicycle-pedestrian mixed roads are positively associated with bicycle accidents and accidential severity. Finally, this study suggests policy implications to improve bicycle safety.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제7권4호
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• pp.249-255
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• 2007

In this paper, we introduce the concept of double fuzzy preproximity spaces as a generalization of a fuzzy preproximity spaces and investigate some of their properties. Also we study the relationships between double fuzzy preproximity spaces, double fuzzy topological spaces and double fuzzy closure spaces. In addition to this was the introduction of the concept of double fuzzy neighborhood system and has been studying the connection with double fuzzy preproximity, which resulted in the definition of the concept double fuzzy preproximal neighborhood.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 춘계학술대회논문집
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• pp.1096-1099
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• 2007

Hydrophone system has necessarily additional structures to resist installation and operation for military usage. In this paper, we assume that the hydrophone is a rigid circular cylinder and the neighborhood structure is a perfect reflector. Scattering fields by hydrophone and neighborhood structure are investigated to use a boundary element analysis program, SYSNOISE, which has an acoustic analysis capability. The pressure fields around circular cylinder with respect to the angle are evaluated.

• 소음진동
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• 제10권6호
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• pp.1041-1047
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• 2000

The main objectives of this study are to examine the random response of a vibration absorber system with autoparametric coupling in the neighborhood of internal resonance by Gaussian closure and to compare the results with those obtained by Monte Carlo simulation. The numerical simulation is found to support the main features of the nonlinear modal interaction in the neighborhood of internal resonance conditions. While the Gaussian closure exhibits regions of multiple solutions in the neighborhood of internal resonance, the numerical simulation gives only one solution depending on the assigned initial conditions. The on-off intermittency phenomena of the cantilever mode is observed in the Monte Carlo simulation over a small range of parameter.

• Smart Structures and Systems
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• 제28권6호
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• pp.779-789
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• 2021

Cracks in railway sleeper are an inevitable condition and has a significant influence on the safety of railway system. Although the technology of railway sleeper condition monitoring using machine learning (ML) models has been widely applied, the crack recognition accuracy is still in need of improvement. In this paper, a two-stage method using edge detection and convolutional neural network (CNN) is proposed to reduce the burden of computing for detecting cracks in railway sleepers with high accuracy. In the first stage, the edge detection is carried out by using the 3×3 neighborhood range algorithm to find out the possible crack areas, and a series of mathematical morphology operations are further used to eliminate the influence of noise targets to the edge detection results. In the second stage, a CNN model is employed to classify the results of edge detection. Through the analysis of abundant images of sleepers with cracks, it is proved that the cracks detected by the neighborhood range algorithm are superior to those detected by Sobel and Canny algorithms, which can be classified by proposed CNN model with high accuracy.

• 전자공학회논문지B
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• 제33B권10호
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• pp.1-11
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• 1996

In this paper, a robust receding horizon control algorithm, which can be employed for a wide class of nonlinear systems with control and state constraints, modeling errors, and disturbances, is considered. In a neighborhood of the origin, a linear feedback controlelr for the linearized system is applied. Outside this neighborhood, a receding horizon control is applied. Robust stability is proved considering the time taken to solve an optimal control problem so that the proposed algorithm can be applied as an on-line controller.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 춘계학술대회논문집
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• pp.1090-1095
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• 2007

A study was carried out to investigate the fluid-structure interaction phenomena of buried hydrophone system that exposed complex loads due to handling, transportation and installation. The buried hydrophone system has necessarily neighborhood structures for installation. Because of the neighborhood structure, acoustic field is deformed. We analyze the piezoelectric-structural-acoustic coupled problem and the results to use a finite element analysis software, ANSYS, which has an coupled field analysis capability. The effect of the component of hydrophone system is revealed altogether in pressure distribution. So, we classify and analyze the problem by four different compositions for decomposition.