• KIEAE Journal
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• v.11 no.3
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• pp.11-18
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• 2011

Sustainability became the keyword of our society worldwide, and it is undoubtful that buildings are mainly responsible for green house gas emission and energy consumption. Responding to current needs, US Green Building Council has launched the first LEED rating system in 1998. Since then, LEED has been evolved and it has multiple sub-system categorized by project types. This study aims to analyze characteristics of sustainable neighborhood development and to suggest methodology for establishing certification system in Korea. First, LEED-ND 2009(LEED for Neighborhood Development) was addressed with certified projects by US Green Building Council. After that, LEED-NC 2009(LEED for New Construction) was compared with green building certification criteria in Korea to find out unforeseen aspects by each system, in terms of sustainable neighborhood development. As a result of this study, sustainable neighborhood development requires a transition of architects' responsibility beyond building design. Building technology has been advanced at extremely fast pace, however, applying techniques to individual architecture would not make our town sustainable. This study provided basic resources to understand that creating sustainable neighborhood is social phenomenon and more studies should be undertaken to establish Green Neighborhood Certification Criteria in Korea.

• MALSORI
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• no.67
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• pp.79-102
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• 2008

In this paper, we investigate the relation between Bayes factor and likelihood ratio test (LRT) approaches and apply the neighborhood information of Bayes factor to building an alternate hypothesis model of the LRT system. To consider the neighborhood approaches, we contemplate a distance measure between models and algorithms to be applied. We also evaluate several methods to improve performance of utterance verification using neighborhood information. Among these methods, the system which adopts anti-models built by collecting mixtures of neighborhood models obtains maximum error rate reduction of 17% compared to the baseline, linear and weighted combination of neighborhood models.

• KIEAE Journal
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• v.13 no.3
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• pp.21-26
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• 2013

Recently, as the concern over environmental problem has been serious all over the world, carbon has become a key issue to mitigate the problem. In the field of Architecture, various sustainable assessment systems and LCCO2 assessment strategies have been developed, guiding low carbon building while planning. However, assessment system for low carbon neighborhood, which can be more efficient strategy, is still in the stage of research. In this paper, as a research for low carbon assessment system and planning guideline for neighborhood, scope meeting domestic condition has been set and sustainable assessment system for neighborhood, which is similar to low carbon concept, have been compared. LEED-Neighborhood Development, BREEAM-Communities, CASBEE-Urban Development, and GBCC-Apartment Houses were used for comparison. As a result, it is found that those systems has many differences in judging system, aggregating method, scope of evaluation, and relations with a building assessment system. The concern about carbon is not insufficient yet. Finally, assessment system for low carbon neighborhood, which is not only for establishing the plan, but also for giving guideline at the very first state of the plan, should be developed as fast as passible. With the result of this paper, establishment of assessment criteria and the way to measure quantitative $CO_2$ should be studied forward.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.649-652
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• 2001

In this paper, we introduce neighborhood systems in an L-fuzzy topology using complete MV-algebras. We investigate the relationship between L-fuzzy topologies and the neighborhood systems. We study the properties of neighborhood system.

• Journal of architectural history
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• v.21 no.6
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• pp.53-62
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• 2012

The purpose of this study is to present improvement for classification system of current neighborhood living facility to correspond rapid social change and various industries after understanding its status and problem. In current Building Standard Law, various kinds of buildings are classified for their structure, purpose of use, and building types. The Neighborhood Living Facility is divided into First Neighborhood Living Facility and Second Neighborhood Living Facility with applying area standards, according to facilities of convenience degree for neighborhood inhabitants. This classification, however, has problem in an arbitrary decision and applying of buildings without any definition or standards to adopt. And, there are some mixed neighborhood public functional facilities and amusement business affecting public morals among the Neighborhood Living Facility, so hazard environmental problems are also existed. According to the improved program, the study presents a prompt adoption of new facilities according to various industry increase, with minimum public discontent over adopted area standards. This study suggests making a clear scope through reclassification of Neighborhood Living Facility within the scope of the law on current Neighborhood Living Facility and an improvement plan of introducing necessary definitions on purpose of facility.

• Industrial Engineering and Management Systems
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• v.8 no.1
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• pp.22-28
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• 2009

We consider facility layout problems, where mn facility units are assigned into mn cells. These cells are arranged into a rectangular pattern with m rows and n columns. In order to solve this cell type facility layout problem, many approximation algorithms with improved local search methods were studied because it was quite difficult to find exact optimum of such problem in case of large size problem. In this paper, new algorithms based on Simulated Annealing (SA) method with two neighborhood generation methods are proposed. The new neighborhood generation method adopts the exchanging operation of facility units in accordance with adjacent preference. For evaluating the performance of the neighborhood generation method, three algorithms, previous SA algorithm with random 2-opt neighborhood generation method, the SA-based algorithm with the new neighborhood generation method (SA1) and the SA-based algorithm with probabilistic selection of random 2-opt and the new neighborhood generation method (SA2), are developed and compared by experiment of solving same example problem. In case of numeric examples with problem type 1 (the optimum layout is given), SA1 algorithm could find excellent layout than other algorithms. However, in case of problem type 2 (random-prepared and optimum-unknown problem), SA2 was excellent more than other algorithms.

• Journal of the Korean housing association
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• v.14 no.6
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• pp.193-204
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• 2003

In connection with the plan for improving the residential environment gradually by analyzing the present condition of the reconstruction and parcel form of the housing area in a inner area, the main objective of this research is to develop a cooperative urban housing model based on the neighborhood agreement. The parcel form has a structure that is inappropriate for individual reconstruction； thus, the substantial improvement only through the residential environment improvement project has its limitations. As an alternative plan to resolve such limitations, I proposed a system that enables step-by-step reconstruction within the small-scaled blocks through the annexation of the land based on the neighborhood agreement. Nonetheless, I realized that it is difficult to apply such reconstruction system to individual housing. Therefore, I presented a design concept on the cooperative urban housing project as a residential form for the reconstruction inside blocks. A model plan vouches for its effectiveness. To apply substantially the cooperative urban housing plan based on the neighborhood agreement, we need to supplement the sectional plan system.

• The Korean Journal of Applied Statistics
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• v.21 no.3
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• pp.387-397
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• 2008

Recently many researches on data analysis using spatial statistics have been studied in various field and the studies on small area estimations using spatial statistics are in actively progress. In analysis of lattice data, defining the neighborhood information system is the most crucial procedure because it also determines the result of the analysis. However the used neighborhood informal ion system is generally defined by sharing the common border lines of small areas. In this paper the other neighborhood information systems are introduced and those systems are compared with Moran's I statistic and for the comparisons, Economic Active Population Survey (2001) is used.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.4
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• pp.34-43
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• 2010

Texture information plays an important role in object recognition and classification. To perform an accurate classification, the texture feature used in the classification must be highly discriminative. This paper presents a novel texture descriptor for texture-based image retrieval and its application in Computer-Aided Diagnosis (CAD) system for Emphysema classification. The texture descriptor is based on the combination of local surrounding neighborhood difference and centralized neighborhood difference and is named as Combined Neighborhood Difference (CND). The local differences of surrounding neighborhood difference and centralized neighborhood difference between pixels are compared and converted into binary codewords. Then binomial factor is assigned to the codewords in order to convert them into high discriminative unique values. The distribution of these unique values is computed and used as the texture feature vectors. The texture classification accuracies using Outex and Brodatz dataset show that CND achieves an average of 92.5%, whereas LBP, LND and Gabor filter achieve 89.3%, 90.7% and 83.6%, respectively. The implementations of CND in the computer-aided diagnosis of Emphysema is also presented in this paper.

• Honam Mathematical Journal
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• v.34 no.4
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• pp.559-570
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• 2012

We construct a new definition of a base for ordinary smooth topological spaces and introduce the concept of a neighborhood structure in ordinary smooth topological spaces. Then, we state some of their properties which are generalizations of some results in classical topological spaces.