• Soft Computing and Machine Intelligence
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• 제1권1호
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• pp.11-23
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• 2021

House price prediction is a significant financial decision for individuals working in the housing market as well as for potential buyers. From investment to buying a house for residence, a person investing in the housing market is interested in the potential gain. This paper presents machine learning algorithms to develop intelligent regressions models for House price prediction. The proposed research methodology consists of four stages, namely Data Collection, Pre Processing the data collected and transforming it to the best format, developing intelligent models using machine learning algorithms, training, testing, and validating the model on house prices of the housing market in the Capital, Islamabad. The data used for model validation and testing is the asking price from online property stores, which provide a reasonable estimate of the city housing market. The prediction model can significantly assist in the prediction of future housing prices in Pakistan. The regression results are encouraging and give promising directions for future prediction work on the collected dataset.

• 한국실내디자인학회논문집
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• 제28호
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• pp.44-50
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• 2001

This study propose the new concept of residence by analyzing the change of residence through the characteristic of popularity and degree of development of technology on home network information appliance for intelligent home. Accordingly, Cyber village represented as home automation and extend to information of society. it encourage need of information and multimedia of home. It expect home information infrastructure for accepting informations, which make smart home to linked home-working home-learning home-treatment. home-shopping and home-banking. The system of intelligent home is the intelligence of human-biology in the side of environmental friendly and multi-function. it distinguish the system of security, controlling system of inside environment, supporting system of house-working, automatic controlling, house working. Future house require to meet demand of young generation, such as small residental space, the multi-functional space, the flexible space, making mood for dual income couple and of single as intelligent home. Accordingly, basic purpose which are pleasantness, the safe and the convenience the mobile multi-function as well as networking with controlling of temperature, security, health-test, home-entertainment, home-office and consider environment together.

• Bulletin of the Korean Chemical Society
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• 제27권9호
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• pp.1323-1328
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• 2006

Mesoporous nickel intercalated aluminosilicate nanohybrid has been synthesized through a recombination reaction between the colloidal suspension of exfoliated montmorillonite nanosheets and aqueous nickel acetate solution. According to powder X-ray diffraction and field emission-scanning electron microscopic analyses, the intercalation of nickel species expands significantly the basal spacing of the host montmorillonite clay and the crystallites of the intercalation compound are assembled to form a house-of-card structure. $N_2$ adsorption-desorption isotherm measurements with BJH pore analyses clearly demonstrated that the porosity of the intercalate originates mainly from mesopores (diameter $\sim50\;\AA$) formed by the house-of-card type stacking of clay crystallites. From FT-IR and X-ray absorption spectroscopic analyses, it becomes certain that intercalated nickel ion is stabilized in an isolated $NiO_6$ octahedral unit. The present mesoporous intercalation compound is expected to be applicable as efficient catalysts or absorbents.

• 한국ITS학회:학술대회논문집
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• 한국ITS학회 2003년도 제2회 정기총회 및 추계학술대회
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• pp.226-229
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• 2003

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.146.2-146
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• 2001

Recently, a need of non-industrial robot, such as service, medical, entertainment and house-keeping robot, has been increased. Therefore, the capability of robot which can do intelligent behavior like interaction with men and its environment become more prominent than the capability of executing simple repetitive task. To implement an intelligent robot which provides intelligent behavior, an effective system architecture including perception, learning, reasoning and action part is necessary. Control architectures for intelligent robot can be divided into two different classes. One is deliberative type controller which is applicate to high level intelligence like environment ...

• 한국실내디자인학회논문집
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• 제14권6호
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• pp.57-65
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• 2005

This research is about the methods in making computers understand the situation in regards to interaction between House and Human Behavior. In this paper, house is the ubiquitous house, as a future house, adopting ubiquitous computing presenting the interrelation of human and house - interior space, architecture, nature. And the Context Aware Model of ubiquitous house is proposed to embody the ubiquitous house. The research objective is to systematize the context in the ubiquitous house and suggest a theoretical basis to embody the ubiquitous house interacting between the House ud Human Behavior Especially, this paper focuses on the Context Aware Model based on FengShui-Theory(sp. YangTaek-Theory). The ubiquitous house is not what operates passively by human but a information-oriented house that can predict the situation and the living patterns of human. For a information-oriented house and informal living context at home, this paper uses FengShui-Theory whose central concern is the interrelation of human and nature. Through these concepts, this research will suggest how to systematize, control and manage the context at home. In the end, it is expected to offer a theoretical basis to embody the intelligent house and apply an environment design communicating between the computers and human.

• 한국농촌건축학회논문집
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• 제16권4호
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• pp.9-15
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• 2014

Pungsu acts as a strong guideline for selecting a location of the village having a certain geographical condition. The attitude of choosing an auspicious site regarding the shape of mountains and water stream, is widely accepted by the intelligent class of Josen period. Therefore, the theory is one of the main factor influenced on the traditional village and house in Korea. Regarding the fact that a real effect of pungsu on the formation of traditional village and house, Study with a view of Pungsu theory could be a good method for deeply understanding the traditional architecture in Korea. In this context, the study analyzes the site and space lay out of an upper class house of vice minister Lee(Lee, Jung Ryul, 1868~1950) in Oeam historic village with Pungsu theory. The house is composed of Anchae(house for the women) and Sanrangchae(house for the men and receiving guests) and Hangrangchae(servants' quarters). Through the study, It finds out that the house is carefully selected and planned considering surrounding physical environment so called Jusan(back hill), Ansan(front hill), Choengyong(blue dragon) and Beckho(white tiger) of Pungsu theory.

• 한국산학기술학회논문지
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• 제9권5호
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• pp.1304-1310
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• 2008

본 연구의 목적은 거주자의 명령 없이도 스스로 거주자의 행위를 배워서 다가올 상황을 예측하고 이에 맞춰진 개인화 된 서비스를 제공할 수 있는 지능형 유비쿼터스 주택의 시스템구조를 제안하는 것이다. 이러한 시스템 구조가 갖춰야 할 전제조건으로 거주자의 행위패턴, 공간이동패턴, 서비스패턴을 조합한 맞춤형 서비스개념 도입이 필수적임을 도출했고, 이를 구현할 수 있는 4가지 구성요소로 Agent, Database, Working Memory, Log Data가 필요함을 확인하였다. 특히 이들 4가지 구성요소를 갖는 지능형 유비쿼터스 주택의 시스템 구조는 처음에는 거주자 행위의 사례나 패턴이 저장되어 있지 않지만 시간이 지남에 따라 각 거주자에 대한 정보가 누적되고 거주자의 라이프스타일을 인식하게 되면서 거주자별 맞춤형 서비스를 제공할 수 있는 기반이 될 것이다.

• Architectural research
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• 제1권1호
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• pp.23-30
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• 1999

This research investigates a system for house design automation. The system is based on an object-oriented building data model, aiming to support the house design process conducted by non-expert users. Its object model, with simple yet powerful user interfaces, enables a CAD system to handle a complicated building system with much ease. Hence, the model dramatically simplifies the design process beyond just the automatic document generation. In this paper, we discuss the aspects of the building data model, introduce critical concepts such as grid objects and structured floor plan, and present a prototype system called GPLAN. The system is implemented in the framework of our building data model, and it provides a host of intelligent features that have been proved useful for house design automation.

• 지능정보연구
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• 제28권1호
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• pp.217-242
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• 2022

AI 기술이 결합된 지능형 제품은 기술적 차별화를 실현하며 시장 경쟁력을 높일 수 있는 잠재성을 지닌다. 하지만 시장 수용도를 극대화 할 수 있는 AI 기반의 신제품 개발 방법론은 부재하다. 본 연구는 AI 기반의 지능형 제품 개발에 대한 방법론으로서 KANO-QFD 통합 모델을 제안한다. 실증적인 분석을 위한 구체적 사례로 탈모 예측 및 치료 기기에 대한 소비자 요구조건(Customer Requirements)의 유형을 분류하고, 이를 구현하기 위한 기술적 요구사항(Engineering Characteristics)의 상대적 중요도 및 우선순위를 도출하여 지능형 메디컬 신제품 개발의 방향을 제시하였다. 소비자 130명을 대상으로 실시한 설문조사 분석 결과, KANO 카테고리 중 매력적 품질(Attractive Quality) 요소로 미래 탈모 진행 상황에 대한 정확한 예측, 미래 탈모 모습 및 치료 후 개선된 미래 모습을 실물화하여 스마트폰으로 보고, 세련된 디자인, 레이저와 LED 빛 복합 에너지를 이용한 치료 등이 도출되었다. QFD의 품질의 집(House of Quality)을 기반으로 분석한 결과, 탈모 진단 및 예측을 위한 학습 데이터, 두피 스캔용 Micro 카메라 해상도, 탈모 유형 분류 모델, 맞춤화를 위한 개인별 계정 관리, 탈모 진행상황 진단 모델 순으로 상대적 중요도 및 우선순위가 도출되었다. 본 연구는 기존에 선행되지 않았던 AI 기반의 지능형 메디컬 제품 개발에 대한 방향을 제시하였다는 면에서 의의를 지닌다.