• 한국실내디자인학회논문집
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• 제22권4호
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• pp.149-157
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• 2013

As a period of pluralism, today's museum architecture has been expanding social and cultural meaning. So, Various expressions are appearing in museum architecture. Accordingly, the museum must be very reproducible and comply with aesthetic requirements. At the same time, museum construction in urban design and features must satisfy professional requirements. SANAA is one of contemporary architects has been decisively deleted existing fixed and functional layout type of program through 'The new hierarchy'. Thus, the experience of the space will vary. Now, museum space is urgently needed than ever before crustal movements. Thus, this study aims to contribute an alternative to the museum space configuration according to the trend of the times through 'The new hierarchy' of SANAA. This paper is limited to the cases of the SANAA's museum architecture. We analyze the characteristics of representation on 'The new hierarchy' appear in the museum space configuration and then, examine the value of the spatial. SANAA's 'New Hierarchy' is going to set the cognitive boundary by expression targeting plane and the surface. It is completely different than the previous boundaries. Characteristics of the expression represents non-centrality, decentrally, non-oriented, uncertainty, non-territorialization, uniformity. It is steady that identity of Space, Human, Environment in Museum. They have a relationship each concept of Independence, autonomy, equality.

• 한국ITS학회 논문지
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• 제11권2호
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• pp.83-91
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• 2012

TV 대역 White Space 송수신기에서 스펙트럼 센싱을 위한 RF 에너지 검출기 구조를 제안하였다. 제안된 에너지 검출기는 RF 능동 필터 구조에 기반하며, RF 저잡음 증폭기에 고역통과필터를 포함하는 피드포워드 루프를 추가함으로써 원하는 RF 주파수 성분만 통과시키고 그 외의 대역은 감쇄시키는 동작을 수행한다. 본 연구에서는 기존의 구조가 갖는 단점인 단측파 대역만 억압할 수 있는 문제를 해결하고자 양측파 대역을 동시에 억압할 수 있는 새로운 구조를 제안하였고, 간단한 시스템 모델링을 통해 구성요소의 Non-ideality에 의한 RF 에너지 검출기 성능에 대한 영향을 평가하였다. 또한, 시스템 시뮬레이션을 통해 양측파대역이 효과적으로 감쇄되어 RF 에너지 검출기로서 동작할 수 있음을 보였다.

• KIEAE Journal
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• 제14권5호
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• pp.75-80
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• 2014

An attempt has been made to prove the so-called 'feature accumulation theory'. It is the theory describing that people tend to feel the same space with more identifiable objects much larger than that with fewer objects. Applying this theory to our cognition of spatial size, this paper made an experiment. Students were asked that if the lecture room they are sitting becomes a module (module 1), then how large are the questioned spaces in the campus. The result was striking. Through the mental image processing, they answered that the library and the architecture building looks much smaller than they actually are, and more surprisingly the basketball field much more smaller than it really is. This experiment shows that there is a strong tendency by which people regard the space much larger when there are more occupiable or behavior-causing elements in the space. In the case of basketball field, since there is nothing that can be occupied, this open space is seen as a small space for the subjects. This line of cognitive perception can be applied to the practice of urban planning and architectural planning. With the same size of given space, we can make it feel more rich and larger.

• 농촌계획
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• 제28권2호
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• pp.51-59
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• 2022

The purpose of this study is to provide a plan to promote the use of life SOC facilities by analyzing the factors affecting utilization of life SOC facilities established as part of the rural center revitalization project. To this end, we selected Seongjeon-myeon, Gangjin-gun where the rural center revitalization project was implemented, conducted a survey on residents while analyzing the project details, and analyzed the results. This study revealed that the residents with a cognitive level for the rural center revitalization project and life SOC tended to more actively use the life SOC facilities. Therefore, to boost residents' use of the life SOC facilities, it is necessary to promote their understanding of and interest in the rural center revitalization project in the project implementation phase and have them be sufficiently aware of the facilities by operating pilot programs for residents in each facility and holding local events and festivals. This study will lay a steppingstone for active resident use of life SOC facilities established in rural centers and provide basic data for further research.

• Architectural research
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• 제24권1호
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• pp.1-11
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• 2022

As the occurrence of a crime is dependent on different factors, their correlations are beyond the ordinary cognitive range. Owing to this limitation, systems face difficulty in correlating various factors, thereby requiring the assistance of artificial intelligence (AI) to overcome such limitations. Therefore, AI has become indispensable for crime prediction. Crimes can cause severe and irrevocable damage to a society. Recently, big data has been introduced for developing highly accurate models for crime prediction. Prediction of night crimes should be given significant consideration, because crimes primarily occur during nights, when the spatiotemporal characteristics become vulnerable to crimes. Many environmental factors that influence crime rate are applied for crime prediction, and their influence on crime rate may differ based on temporal characteristics and the nature of crime. This study aims to identify the environmental factors that influence sex and theft crimes occurring at night and proposes an artificial neural network (ANN) model to predict sex and theft crimes at night in random areas. The crime data of A district in Seoul for 12 years (2004-2015) was used, and environmental factors that influence sex and theft crimes were derived through multiple regression analysis. Two types of crime prediction models were developed: Type A using all environmental factors as input data; Type B with only the significant factors (obtained from regression analysis) as input data. The Type B model exhibited a greater accuracy than Type A, by 3.26 and 9.47 % higher for theft and sex crimes, respectively.

• 인지과학
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• 제28권4호
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• pp.299-314
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• 2017

In-silico 기반의 약물-표적 단백질 연관관계 예측은 신약 탐색 단계에서 매우 중요하다. 그러나 기존의 예측모델은 입력 값이 고정적이며 표적 단백질의 특질 값이 가공된 데이터로 한정됨으로써 예측 모델의 확장성과 유연성이 부족하다. 본 논문에서는 약물-표적 단백질 연관관계를 예측하는 확장 가능한 형태의 머신러닝 모델을 소개한다. 확장 가능한 머신러닝 모델의 핵심 아이디어는 쌍기반의 뉴럴 네트워크로써, 약물과 단백질의 미가공 데이터를 사용하여 특질을 추출하고 특질 값을 각각의 뉴럴 네트워크 레이어에 입력한다. 이 방법은 추가적인 지식없이 자동적으로 약물과 단백질의 특질을 추출한다. 또한 쌍기반 레이어는 특질 값을 풍부한 저차원의 벡터로 향상 시킴으로써 입력 값의 차이로 인한 편향 학습을 방지한다. PubChem BioAssay(PCBA) 데이터 셋에 기반한 5-폴드 교차 검증법을 통하여 제안한 모델의 성능을 평가했으며, 이전의 모델보다 우월한 성능을 보였다.

• International Journal of Human Ecology
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• 제8권2호
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• pp.29-46
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• 2007

The purpose of this study was to analyze characteristics of the bedroom environment of nursing homes for the elderly in Korea. Field case research was performed using a structured checklist and measurements, from Oct. 28th to Dec. 2nd, 2006. Collected data were analyzed for cognitive efficiency, privacy, safety, supportiveness and amenity. Based on nursing homes for the elderly nationwide (Ministry of Health and Welfare, 2006), we choose 43 facilities in which Seoul and six megalopolis areas that had answered our questionnaire in 2006. We then narrowed the list to 14 facilities, balanced them in terms of regional population. The contents of investigation consisted of eight categories: that general characteristics of the bedrooms (including number of residents per room, using a bed or floor mat, the size and shape of the chamber, space for wheelchair turning, signage), door of bedroom (including door, doorknob, door sill/level difference), windows in the bedroom(including type of window, window sill height, window treatment, window safety device/shape, view/daylight), furniture (including personal furniture and lock), finishes (material, character and color of wall, floor, ceiling), lighting (including types of lighting, night lighting, switch), bathroom in the bedroom (including signage, door size/type, doorknob shape, height of the washbowl, size of toilet bowl, handrail, finishes), and other facilities (including outlet and handrails).

• 대한인간공학회지
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• 제31권6호
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• pp.705-713
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• 2012

Objective: The aim of this study is to predict human visual target search using ACT-R cognitive architecture in real scene images. Background: Human uses both the method of bottom-up and top-down process at the same time using characteristics of image itself and knowledge about images. Modeling of human visual search also needs to include both processes. Method: In this study, visual target object search performance in real scene images was analyzed comparing experimental data and result of ACT-R model. 10 students participated in this experiment and the model was simulated ten times. This experiment was conducted in two conditions, indoor images and outdoor images. The ACT-R model considering the first saccade region through calculating the saliency map and spatial layout was established. Proposed model in this study used the guide of visual search and adopted visual search strategies according to the guide. Results: In the analysis results, no significant difference on performance time between model prediction and empirical data was found. Conclusion: The proposed ACT-R model is able to predict the human visual search process in real scene images using salience map and spatial layout. Application: This study is useful in conducting model-based evaluation in visual search, particularly in real images. Also, this study is able to adopt in diverse image processing program such as helper of the visually impaired.

• 한국조경학회지
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• 제13권1호
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• pp.109-121
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• 1985

A study on the image identification of urban streetscape is valuable for illuminating identity that is not yet fully approached in the field of environmental design. This analysis of urban streetscape for image identification allows us to make a more detailed exploration of an important approaching methods in dealing with the structural characteristics of identity. As a matter of fact, the earlier indirect studies on this image identification were made by environmental designers, such as architectural and urban designer in the field of environmental perception and came to its environmental cognition & environmental pattern research with assistances by such researchers as K. Lynch A. Rapoport & Christopher Alexander. Through its environmental perception research, we can see its structural characteristics that is aesthetic & visual structural contents of physical environmental elements. And we can see its cognitive characteristics through the environmental cognitive research, that is continuity, territoriality, identity of place, uniqueness or individuality, meaning & symbolism. Through its environmental pattern research, we can see its physical, socio - economic, cultural and symbolic pattern identification contents, that is physical form of the city, style of the street, pattern of streetscape, socio- economic & geographical locality, arid life cycle, life style, common style of the behavior, cultural pattern of the activity, socio - cultural expression of the symbol. In these process, we can set up a set of the environmental design criterias from those three integral studies for identity. And for an environmental research, Tongsung-Ro around the CBD (central business district) in Taegu City was selected for a case study, because this streetscape is suitable for that approaching methods in this study.

• 사물인터넷융복합논문지
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• 제10권1호
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• pp.69-75
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• 2024

본 연구에서는 산업용 사물인터넷(IIoT)의 맥락에서 포그 컴퓨팅(Fog Computing, FC)를 위해 특별히 고안된 혁신적인 인지 사물인터넷(Cognitive IoT) 프레임워크를 제안한다. 본 논문에서는 인지 IoT 플랫폼의 복잡한 설계 및 기능적 아키텍처에 초점을 맞추고, 이 아키텍처는 서비스 제공, 인지 의사결정, 분산 모니터링 및 제어와 같은 핵심 구성 요소를 원활하게 통합하는 것을 제안한다. 이 플랫폼의 중요한 측면은 기계 학습(ML) 및 인공 지능(AI)을 통합하는 것으로, 다양한 산업 애플리케이션에서 운영의 유연성과 상호 운용성을 향상시켜 실시간 기계 상태 모니터링에 중점을 둔 예측 유지보수-서비스(Predictive Maintenance-as-a-Service, PdM-as-a-Service) 모델을 통해 제시된다. 이 모델은 실시간 데이터 분석을 활용하여 유지보수 및 관리 작업을 수행함으로써 전통적인 유지보수 접근법을 뛰어넘고, 실증적 결과는 포그 컴퓨팅 환경 내에서 플랫폼의 효과성을 입증하며, 산업용 IoT 애플리케이션 분야에서의 변혁적 잠재력을 보여 IIoT 플랫폼 개발에 기여 하는 연구이다.