• Title/Summary/Keyword: Model-House

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A Study on the Characteristics of Bathroom Design in Apartment Model House - Focused on the south area of the Han river and new town area(Boon-dang) - (아파트 모델하우스 욕실에 나타난 디자인 특성 연구 - 서울 강남 및 신도시(분당)를 중심으로 -)

  • 송윤경;박영순
    • Korean Institute of Interior Design Journal
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    • no.32
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    • pp.36-46
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    • 2002
  • The purpose of this study is to find the characteristics of bathroom through the latest apartment model house, and to investigate the types of design element in bathroom space, that is equipment material, measurement, and shape. Also, this study compare the changes in bathroom investigated through the theoretical study and understand the general design characteristics of modern bathroom. Design characteristics of bathrooms of 19 apartment model houses that are 30pyong to 60pyong model in the south area of the Han river and new city area, Boon-dang were analyzed based on previous studies. The result of the study is as follows. 1) The most remarkable change of bathroom can be found in equipment. The type of bathroom equipment, materials, forms, size have been changing diversely. 2) In addition, the function of bathroom has been changing. Bathroom is not only sanitary place but also place for rest, health-care, beauty-care, storage, and it is possible to add health improving function. 3) On the other hand, $\ulcorner$washstand + toilet + shower booth$\lrcorner$ type is common for family-bathroom, and separate type of $\ulcorner$washstand + toilet + bathtub + shower booth + Powder room + dress room$\lrcorner$type is most common for master-bathroom.

Prediction of Vibration Characteristics of a Composite Rotor Blade via Deep Neural Networks (심층신경망을 이용한 복합재 로터 블레이드의 진동특성 예측)

  • Yoo, Seungho;Jeong, Inho;Kim, Hyejin;Cho, Haeseong;Kim, Taejoo;Kee, Youngjung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.5
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    • pp.317-323
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    • 2022
  • In this paper, a deep neural network(DNN) model for predicting the vibration characteristics of the composite rotor blade with c-spar cross section was developed. Herein, the present DNN model is defined by using the natural frequencies obtained through the in-house code based on the nonlinear co-rotational(CR) shell element. For the present DNN model, the accuracy of the model was evaluated via the data with a random distribution of thickness and a tendency to decrease in thickness along the blade span.

Hygrothermal Performance Improvement Plan of Standard Model for Rural Housing and Wooden Housing (농촌주택 및 목조주택 표준모델 구조체의 습·열 환경 성능 개선 방안)

  • Yoo, Dong-Wan;Lee, Tae-Goo
    • Journal of the Korean Institute of Rural Architecture
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    • v.23 no.4
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    • pp.63-71
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    • 2021
  • The purpose of this study was to investigate whether the standard models for rural housing and wooden housing model have performance for hygrothermal and to propose a way of improvement relevant to hygrothermal performance for those models. All of the models to be analyzed were found to have some parts that were absent of stability in terms of performance for hygrothermal. In the process of analyzing the causes and proposing improvement measures, the following conclusions were derived. Fist, The exterior surface of the structure should be composed of a structure with good moisture permeability, and for the interior surface, a variable vapor retarder paper should be applied in consideration of the reverse condensation phenomenon in summer. Second, in terms of performance for hygrothermal, applications of external insulation plaster finish to the exterior wall or of ventilation method using a rafter vent on the roof should be avoided. Third, a rain screen method with a ventilation layer should be applied to the exterior wall, and a method of constructing ventilation layer separated from the insulation layer with a vapor retarder paper should be applied to the roof. Fourth, the application of insulation materials having capillary action, such as wood fiber insulation board or cellulose insulation board, contributes to more stable performance for hygrothermal.

Air-conditioning and Heating Time Prediction Based on Artificial Neural Network and Its Application in IoT System (냉난방 시간을 예측하는 인공신경망의 구축 및 IoT 시스템에서의 활용)

  • Kim, Jun-soo;Lee, Ju-ik;Kim, Dongho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.347-350
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    • 2018
  • In order for an IoT system to automatically make the house temperature pleasant for the user, the system needs to predict the optimal start-up time of air-conditioner or heater to get to the temperature that the user has set. Predicting the optimal start-up time is important because it prevents extra fee from the unnecessary operation of the air-conditioner and heater. This paper introduces an ANN(Artificial Neural Network) and an IoT system that predicts the cooling and heating time in households using air-conditioner and heater. Many variables such as house structure, house size, and external weather condition affect the cooling and heating. Out of the many variables, measurable variables such as house temperature, house humidity, outdoor temperature, outdoor humidity, wind speed, wind direction, and wind chill was used to create training data for constructing the model. After constructing the ANN model, an IoT system that uses the model was developed. The IoT system comprises of a main system powered by Raspberry Pi 3 and a mobile application powered by Android. The mobile's GPS sensor and an developed feature used to predict user's return.

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A Study on the Housing Adjustment in the First Half of Cho-Sun Dynasty - with special perspectives of microsociological approach - (조선전반기 가족의 주거조절에 관한 연구 - 미시사회학적 접근으로 -)

  • Hong, Hyung-Ock
    • Journal of architectural history
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    • v.2 no.1 s.3
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    • pp.25-41
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    • 1993
  • This study was made to analyze the housing adjustment phenomenon in the first half of Chosun Dynasty by applying Microsociological approach. By reviewing the housing adjustment theory of Morris and Winter, research model for the period was developed in terms of socioeconomic characteristics, normative housing deficit (=cultural norm-housing condition+family norm), constraints, behavioral propensities, and housing adjustment mechanism with the following results : 1. In the first half of Chosun Dynasty the size of the house, the house site and decorating items were specified by law (cultural norm) according to the social status. Although the law was constraints for the housing phenomenon, it was not applied universally. Frequantly the law was violated by the upper class. By the middle of the Dynasty the family norm became more important for the housing phenomenon than the cultural norm. 2. Efforts were made to practice the Confucianism as a cultural norm in the first half of Chosun Dynasty At that time Husband-Living-in-Wife's-House was more popular than Wife-Living-in-Husband's-House. Because the customs were against the Confucianism, the latter was encouraged by law. But it did not change. Instead a compromised system became popular in the middle of the Dynasty. The house shrine was practiced to increase the symbolism of the family, which, in turn, exerted influences in deciding the housing site (cultural norm). These cultural norm was not accepted as the family norm untill the second half of the Dynasty. These trends forced the man and woman use separate areas of the house, and formulated a hierarchic positions within a house. 3. It was shown that the settlement of Confucianism as a family norm was closely related to the popularization of the Ondol system in the house, which functioned as one of the behavioral propensities to encourage diversity of space for many purposes. Though the Ondol system was accepted as a useful heating system earlier, this became more popular in the middle of the Dynasty because the housing pattern with Ondol fitted very well with a large family system with patriarchism. Ondol system for one or two rooms substituted Ondol for all rooms in the second half of the Dynasty. 4. From the beginning of the Dynasty housing adjustment of the family was determined by the social status and by law (cultural norm). Within this cultural norm each family decided its adjustment mechanism according to its economic ability (family norm). Family norm was more important factor than the cultural norm to determine the micro-space pattern in the house. But this period witnessed the formations of new conditions by the ruling class's efforts to implement new ethics for hierarchy and sexual discrimination. According to these conditions the Confucianism overruled the family norm in the later period.

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Housing Need and Demand Assessment: Focused on Public Housing Development Projects (공공주택 사업지구의 수요평가모델 구축 연구)

  • Ji, Kyu-Hyun;Lee, So-Young;Kim, Yong-Soon
    • Land and Housing Review
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    • v.5 no.4
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    • pp.247-257
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    • 2014
  • This study proposes a new housing need and demand assessment model centering on small-scale housing development projects and happy house development projects that reflected the recent changes in rental and small sized apartment centered public housing policies and development paradigms. The housing need and demand assessment model of public housing development projects consists of quantitative evaluation factors such as potential need indicator and demand pressure indicator and qualitative evaluation factors such as local condition indicator. The potential need indicators of small sized housing development projects are calculated by subtracting the stock of already-supplied constructed rental and purchased rental housings from the potential quantity of need drawn from the small regions such as -eup, -myeon, and -dong. In the potential need indicators of happy house development projects, the potential need is calculated from those who are expected to receive a happy house in the unit of -si, -gun, and -gu. In small-sized housing development projects, demand pressure indictors are the number and the proportion of those who opened a subscription deposit, the number of those who received basic livelihood security and the number of those who were patriots and veterans. The demand pressure indicators of the happy house development projects are stock ratio of small-sized houses, rate of rise in housing rent price, level of housing rent price, and rate of monthly rent house.

Model Study for Underground Cavity Detection Using S-wave (S파를 이용한 지하공동 탐사의 모형 연구)

  • 서백수
    • Tunnel and Underground Space
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    • v.3 no.2
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    • pp.109-117
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    • 1993
  • The existence and exact location of cavity is very important for the stability of the large underground storage house or building. Numerical method such as finite element method and finite diference methods are widely used because of model's complexity. Preliminary tests such as calculation step test, mesh size test and model size test were tried. Upper shadow zone and lower shadow zone can be calculated from 50% amplitude level of measuring data. From these statistical methods, the calculatied position of cavity coincided nearly with actual position of model testing cavity.

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Expectation-Based Model Explaining Boom and Bust Cycles in Housing Markets (주택유통시장에서 가격거품은 왜 발생하는가?: 소비자의 기대에 기초한 가격 변동주기 모형)

  • Won, Jee-Sung
    • Journal of Distribution Science
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    • v.13 no.8
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    • pp.61-71
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    • 2015
  • Purpose - Before the year 2000, the housing prices in Korea were increasing every decade. After 2000, for the first time, Korea experienced a decrease in housing prices, and the repetitive cycle of price fluctuation started. Such a "boom and bust cycle" is a worldwide phenomenon. The current study proposes a mathematical model to explain price fluctuation cycles based on the theory of consumer psychology. Specifically, the model incorporates the effects of buyer expectations of future prices on actual price changes. Based on the model, this study investigates various independent variables affecting the amplitude of price fluctuations in housing markets. Research design, data, and methodology - The study provides theoretical analyses based on a mathematical model. The proposed model uses the following assumptions of the pricing mechanism in housing markets. First, the price of a house at a certain time is affected not only by its current price but also by its expected future price. Second, house investors or buyers cannot predict the exact future price but make a subjective prediction based on observed price changes up to the present. Third, the price is determined by demand changes made in previous time periods. The current study tries to explain the boom-bust cycle in housing markets with a mathematical model and several numerical examples. The model illustrates the effects of consumer price elasticity, consumer sensitivity to price changes, and the sensitivity of prices to demand changes on price fluctuation. Results - The analytical results imply that even without external effects, the boom-bust cycle can occur endogenously due to buyer psychological factors. The model supports the expectation of future price direction as the most important variable causing price fluctuation in housing market. Consumer tendency for making choices based on both the current and expected future price causes repetitive boom-bust cycles in housing markets. Such consumers who respond more sensitively to price changes are shown to make the market more volatile. Consumer price elasticity is shown to be irrelevant to price fluctuations. Conclusions - The mechanism of price fluctuation in the proposed model can be summarized as follows. If a certain external shock causes an initial price increase, consumers perceive it as an ongoing increasing price trend. If the demand increases due to the higher expected price, the price goes up further. However, too high a price cannot be sustained for long, thus the increasing price trend ceases at some point. Once the market loses the momentum of a price increase, the price starts to drop. A price decrease signals a further decrease in a future price, thus the demand decreases further. When the price is perceived as low enough, the direction of the price change is reversed again. Policy makers should be cognizant that the current increase in housing prices due to increased liquidity can pose a serious threat of a sudden price decrease in housing markets.

Construction firm's CRM(Customer Relationship Management) Marketing strategy for housing market Focused on Model House (주택시장에서 건설회사의 CRM 마케팅 전략 - 모델하우스를 중심으로)

  • Choi Ik-Sung;Kim Jae-Jun
    • Korean Journal of Construction Engineering and Management
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    • v.6 no.4 s.26
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    • pp.113-121
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    • 2005
  • The construction industry has also enolved according to the changes and requirements, therefore it coms to manage the relationships with customers. However, the customer management in the construction industry has not been quite genuine, since it has been mainly oriented for public relations and advertisements of companies. The genuine customer management should not only systemize customer data but also provide strategy to utilize it through managing relationships with customers as well as customer themselves. In this research, I have focused mainly on Model House. Marketing is very important planning & coordination to project. And I know that the development power of new product and promotion strategy as to customer needs and wants. The key factor in housing industry is the analysis of customer's needs that key success factor is execution of action plan to our customer. His success in business is in result of satisfaction for our high quality customer. Therefore the CRM system is add to customer satisfaction and increase earning power to a business