• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.685-696
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• 2017

In the spatial image composition of a cathedral, light is the most important element of changing the mind through vision. The religious meaning of light and its impact on human sensibility are believed to be very large. Therefore, in this study, 'Illuminance' is the most important research subject of a cathedral's worship space lighting plan elements. Illuminance is expressed by giving the clarity and form of space through a subtle spatial composition difference. The role of illuminance is essential for confirming the existence of space, and lighting controls the spatial atmosphere at an appropriate level. The standard and range of illuminance are set through the synthesis and analysis of related standards. Based on this, a related case study was conducted on cathedrals built in the Gangnam area of Seoul in the 1980s. The lighting-related factors were analyzed and the illuminance of the liturgical space and worship area were measured. The appropriate level of applicability was confirmed by comparison analysis. A plan for the illuminance application levels and elements applied in the cathedral lighting design is proposed.

• Journal of Families and Better Life
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• v.22 no.6 s.72
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• pp.133-142
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• 2004

The purpose of this study was to investigate the spatial composition characteristics of elderly housing facilities in Korea, in order to refer them in establishing the basic plan for elderly housing in Korea. The case study performed in this study from October 16 to October 31 is based on ten housing facilities for the elderly in KOREA. During the site visits, the interview with the custodians, survey of the space, picture taking and diagram gathering were carried out. The results of this study were as follows; 1. The type of floor plan was classified into ㅁ type, L type, and ㅡ type. And they hadn't an outside space called a garden(courtyard). 2. The kinds of common spaces could be grouped as the space for basic living, for leisure, and for convenient living. Also it was all common that the housing facility had common diningroom laundry room once, and activity room. The type of the common spaces was categorized into three types, the centralized type where the shared space was located at the center of the housing facilities, the distributed type, depending on the degree of separation between common spaces and units, and another each building type. 3. The kinds of units was classified into studio, oneroom, one bedroom and two bedroom. 4. Elevator, safety grab bar, emergency bell, and the door handle of lever or bar type were placed in these facilities.

• Journal of Environmental Science International
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• v.20 no.2
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• pp.155-161
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• 2011

In application and discussion of population structure and phenotypic divergence in plant community, the classic Lotka-Volterra models of competition and spatial model are conceived as a mechanism that is composed by multiple interacting processes. Both the Lotka-Volterra and spatial simulation formulae predict that species diversity increases with genotypic richness (GR). The two formulae are also in agreement that species diversity generally decreases within increasing niche breadth (NB) and increases with increasing potential genotypic range (PGR). Across the entire parameter space in the Lotka-Volterra model and most of the parameter space in the spatial simulations, variance in community composition decreased with increasing genotypic richness. This was, in large part, a consequence of selecting genotypes randomly from a set pool.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2008.05a
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• pp.203-208
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• 2008

Installation art in 20th century shows an expanded trend as a result of material, time, or spatial expansion of subject, therefore subjects could be either materials or non-materials. This trend says that three elements-objet, space, and spectator-is inseparable essence of installation art. Nowadays, the borderline between installation art and everyday human life is getting indistinctive, and both Installation art and human life are becoming a part of another. By adapting the flexibility of installation art into the interior space, more interaction could happen, therefore, people will recognize spatial and visual character of Interior space as a visually satisfying Installed object. The main goal of this study is to understand changing of spatial composition in consequence of expressional variety as a result of dispersion of spatial elements. Especially, this study gives a fundamental ideas about private character of installations art in commercial spaces and expressional character of modern installations.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.315-316
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• 2013

전자해도를 시스템에 사용하기 적합하게 변환한 구조를 SENC(System Electronic Navigational Chart)라고 한다. SENC의 구조는 전자해도 표출에 필요한 각종 공간질의, 속성질의 등의 처리, 개체 속성정보의 관리, 그리고 개체의 화면표출을 위한 정보 관리가 용이하도록 정의되어야 한다. 현재 대부분의 SENC는 파일기반으로 구현되어, SENC를 활용하는 시스템에서는 SENC의 정보들을 처리하기 위한 질의를 시스템 내에서 정의하고 처리하여야 한다. SENC를 파일이 아닌 검증된 Spatial DBMS에 구현하여 SENC가 갖추어야 할 각종 정보 관리 및 처리 기능 구현 시, 시스템의 신뢰성과 유연성에 이점을 가져올 수 있다. 본 논문에서는 기본적인 전자해도 정보 관리 및 표출에 필요한 SENC의 특성을 고려하여 Spatial DBMS를 이용하는 SENC 설계를 연구하였다.

• Journal of Korean Association for Spatial Structures
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• v.20 no.4
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• pp.111-121
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• 2020

There has been increasing interest in UHPC (Ultra-High Performance Concrete) materials in recent years. Owing to the superior mechanical properties and durability, the UHPC has been widely used for the design of various types of structures. In this paper, machine learning based compressive strength prediction methods of the UHPC are proposed. Various regression-based machine learning models were built to train dataset. For train and validation, 110 data samples collected from the literatures were used. Because the proportion between the compressive strength and its composition is a highly nonlinear, more advanced regression models are demanded to obtain better results. The complex relationship between mixture proportion and concrete compressive strength can be predicted by using the selected regression method.

• Current Optics and Photonics
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• v.4 no.6
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• pp.530-539
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• 2020

Hyperspectral images feature a relatively narrow band and are easily disturbed by noise. Accurate estimation of the types and parameters of noise in hyperspectral images can provide prior knowledge for subsequent image processing. Existing hyperspectral-noise estimation methods often pay more attention to the use of spectral information while ignoring the spatial information of hyperspectral images. To evaluate the noise in hyperspectral images more accurately, we have proposed a spectral-spatial cooperative noise-evaluation method. First, the feature of spatial information was extracted by Gabor-filter and K-means algorithms. Then, texture edges were extracted by the Otsu threshold algorithm, and homogeneous image blocks were automatically separated. After that, signal and noise values for each pixel in homogeneous blocks were split with a multiple-linear-regression model. By experiments with both simulated and real hyperspectral images, the proposed method was demonstrated to be effective and accurate, and the composition of the hyperspectral image was verified.

• Korean Institute of Interior Design Journal
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• no.41
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• pp.112-120
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• 2003

The purpose of this study is to review the plan composition characteristics of the super high-rise apartment. 20 cases were selected in Seoul and Kyunggi area that were planned or constructed since 1999, and 10 unit plans were analyzed to review such design characteristics as block type & entry access type, plane figure, opening layout, area distribution and spice composition of unit plan. The result of the study shows that the super high-rise apartment has more variant block types and plane figures compare with the conventional high-rise apartment, and it also has several design characteristics in plane composition such as the increase of the number of the walls with openings, the weakening of the spatial centralization of a living room and the dispersion of rooms with the increase of connection by corridors.

• Asian Journal of Atmospheric Environment
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• v.8 no.2
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• pp.69-80
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• 2014

It is often assumed that atmospheric observations at remote sites represent long-range transport of airborne material, and local influences are overlooked. We evaluated the impact of local input on the rainwater composition at Gosan Station, a strategic site for monitoring the continental outflow from Asia. We analyzed a 14-year record of rainwater chemical composition archived by the Korea Meteorological Administration and detected local terrestrial contribution for nitrate, sulfate and ammonium. We also measured the chemical composition of rainwater sampled simultaneously at multiple locations within the premises of the Gosan Station, from which local influence with meter-scale spatial heterogeneity could be discerned. We estimate that the local input accounted for at least ~10% of the wet deposition of nitrogen and ~12% of the wet deposition of sulfur during the 14 years. This highlights the significance of the local influence, which should be carefully assessed when interpreting atmospheric observations at this site.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.891-910
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• 2021

Previous QoS-aware service composition methods mainly focus on how to generate composite service with the optimal QoS efficiently for a single request. However, in the real application scenarios, there are multiple service requests and multiple service providers. It is more important to compose services with suboptimal QoS and maintain the load balance between services. To solve this problem, in this paper, we propose a service composition method, named as dynamically change and balancing composition method (DCBC). It assumes that the QoS of service is not static, and the services can adjust the value of QoS to gain more opportunities to be selected for composition. The method mainly includes two steps, which are the preprocessing step and the service selection step. In the preprocessing step, a backward global best QoS calculation is performed which regarding the static and dynamic QoS respectively; then guided by the global QoS, the feasible services can be selected efficiently in the service selection step. The experiments show that the DCBC method can not only improve the overall quality of composite services but also guarantee the fulfill ratio of requests and the load balance of services.