• Toxicological Research
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• v.14 no.2
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• pp.183-191
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• 1998

It has been reported that 50~70% of child asthma, bronchial asthma in adult, and allergic rhinitis are caused by house dust mite. The antigen extracted from house dust mite has been used for effective treatment against allergic diseases and for clinical test. This house dust mite antigen has been entirely imported from abroad. However, the composition and content of all the antigen imported vary from a brand to other brand. Thus, we need to standardize the composition and content of the antigen by developing it domestically. We proceeded pre-clinically general pharmacological test and toxicological test that are required for the eventual human use by utilizing the house dust mite cultured in Korea. In order to obtain information on general pharmacological tests such as its toxic signs in tissues or organs which are mainly affected, we examined the effect of house dust mite on the tensions of the isolated tissues and heart rates of cardiac muscle by recording with force displacement transducer of polygragh (Glass Model 7). We determined lethality of antigen extracted from house dust mite in mice and guinea pigs. We examined acute and subacute toxicity by administrating house dust mite extract of 500, 100, 20 times of the expected clinical dose. In male and female mice and guinea pigs, given a sigle intraperitoneal dose of antigen, $LD_{50}$ values were over 5.0 $\textrm{m}{\ell}$/kg, respectively. In animals administrated with house dust mite, there were no significant change of clinical symptom, body weight, food consumption, water consumption, eye examinations, urinalysis, blood biochemistry, and histopathological examinations in any animals tested. We found no toxic effect of this house dust mite. These results show that the house dust mite cultured by us could be used in the development of medicine against allergic diseases caused by the antigen of house dust mite.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.585-590
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• 2019

The purpose of this study is to summarize the changes in virtual reality utilization in model houses through the time-by-year example of model houses and to study the use and future development of virtual reality technologies in model houses. As a result of compiling and analyzing characteristics of virtual reality utilization flow in model houses of apartments, it is as follows. First, the market for apartment model houses using virtual reality was gradually expanded for the purpose of brand promotion by private construction companies. Second, technologies that utilize virtual reality in apartment sales are changing from virtual space construction to virtual content implementation. Third, it is changing from the existing method of face-to-face and method of accessing actual promotional media to the form of publicizing apartments using virtual reality. Through this research, it is estimated that it will be used as an information medium and a form of experience using physical environment and virtual reality in a physical model house for consumers looking for model houses. This study presents the future direction of the model house, and develops it as a post-sale maintenance / management system through ICT technology (3D scanning, 3D modeling, virtual content) Further research on the technology is expected to be needed.

• Human Ecology Research
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• v.54 no.6
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• pp.589-598
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• 2016

The study finds a constructive way to improve shared houses by analyzing shared house living conditions, satisfaction of the residents and potential consumer's needs. For this, a survey of 179 single-person university residents and interviews with seven young adults residing in shared house was conducted. The results showed that shared house tenants had high satisfaction in regard to bedrooms, common spaces, and rental costs. They successfully adapted to community life by frequently using the living, dining spaces, and common spaces with respect and consideration towards other tenants by following rules. Single-person university household should prefer single rooms and the biggest consideration when they move into a shared house is rent. Affordable rates were 300,000 to 350,000 Korean Won per month (40.5%) and deposit of 3 million won or less (64.3%). Results also showed a need for a professional manager residing in the house with a cleaning service for common spaces and a want to share hobbies with other tenants (3.25/5 point scale). It is very important in a housing welfare perspective that one experiences the value of living and emotional sharing to heighten the satisfaction through shared houses. It is essential to put effort into developing a service that reflects consumer's needs for shared houses to continue as a housing alternative model for young adults.

• Journal of The Korean Society of Agricultural Engineers
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• v.46 no.7
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• pp.35-44
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• 2004

In this study, a ventilation model was developed to determine a ventilation rate for the balance of heat, moisture and $CO_{2}$ in a mushroom house. Internal and external temperature, relative humidity and $CO_{2}$ concentration were measured and used to validate the ventilation model. The effects of various environmental factors on physiological responses of mushroom were also investigated. The verified model was simulated under the observed ventilation rates with a difference of$ 0.001{\~}0.065\;m^{3}{\cdot}S^{-1}$ (relative error of $0.3{\~}18.9\%$) when external temperature varied 22.5 to $24.8^{circ}C$ and average ventilation rates was $0.35m^{3}{\cdot}S^{-1}$. The optimal conditions for mushroom growth (internal temperature $22 ^{circ}C$, relative humidity $80\%$, $CO_{2}$ concentration 1,000 ppm) were used for the model application with external temperature, relative humidity and $CO_{2}$ concentration of $27.5{\~}33.5^{circ}C$, $60\%$, and 355 ppm, respectively. Thermal balance was a important factor for an optimum ventilation up to the external temperature of $32^{circ}C$, while $CO_{2}$ concentration balance was more important over $32^{circ}C$. This suggests that humidification for moisture balance is required to maintain temperature and $CO_{2}$ concentration at an optimal level by ventilation in a mushroom house.

• Journal of the Korean Geographical Society
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• v.51 no.2
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• pp.219-233
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• 2016

In social science fields, statistical models are used almost exclusively for causal explanation, and explanatory modeling has been a mainstream until now. In contrast, predictive modeling has been rare in the fields. Hence, we focus on constructing the predictive non-parametric model, instead of the explanatory model. Gangnam-gu, Seoul was chosen as a study area and we collected single-family house sales data sold between 2011 and 2014. We applied non-parametric models proposed in machine learning area including generalized additive model(GAM), random forest, multivariate adaptive regression splines(MARS) and support vector machines(SVM). Models developed recently such as MARS and SVM were found to be superior in predictive power for house price estimation. Finally, spatial autocorrelation was accounted for in the non-parametric models additionally, and the result showed that their predictive power was enhanced further. We hope that this study will prompt methodology for property price estimation to be extended from traditional parametric models into non-parametric ones.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.29 no.12
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• pp.638-644
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• 2017

Optimal cooling operation algorithm was developed based on a simulation case of a single family house model equipped with renewable energy facility. EnergyPlus simulation results were used as virtual test data. The model contained three energy storage elements: thermal heat capacity of the living room, chilled water storage tank, and battery. Their charging and discharging schedules were optimized so that daily electricity bill became minimal. As an optimization tool, linear programming was considered because it was possible to obtain results in real time. For its adoption, EnergyPlus-based house model had to be linearly approximated. Results of this study revealed that dynamic cooling load of the living room could be approximated by a linear RC model. Scheduling based on the linear programming was then compared to that by a nonlinear optimization algorithm which was made using GenOpt developed by a national lab in USA. They showed quite similar performances. Therefore, linear programming can be a practical solution to optimal operation scheduling if linear dynamic models are tuned to simulate their real equivalents with reasonable accuracy.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.1
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• pp.109-118
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• 2023

Data-based analysis methods have become used more for estimating or predicting housing prices, and neural network models and decision trees in the field of big data are also widely used more and more. Neural network models are often evaluated to be superior to existing statistical models in terms of estimation or prediction accuracy. However, there is ambiguity in determining the input feature of the input layer of the neural network model, that is, the type and number of input features, and decision trees are sometimes used to overcome these disadvantages. In this paper, we evaluate the existing methods of using decision trees and propose the method of using decision trees to prioritize input feature selection in neural network models. This can be a complementary or combined analysis method of the neural network model and decision tree, and the validity was confirmed by applying the proposed method to house price estimation. Through several comparisons, it has been summarized that the selection of appropriate input characteristics according to priority can increase the estimation power of the model.

• Magazine of the Korean Society of Agricultural Engineers
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• v.29 no.4
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• pp.117-123
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• 1987

This study was conducted to develop an automatic insulation system to reduce the heat loss through the wall of greenhouses during the nighttime in winter. A double covered model vinyl house was constructed, and blowers were used to fill or remove styrene pellets automatically the inside of the double-wall of the double covered vinyl house. The effects of insulation of the double covered vinyl house insulated with the styrene pellets were analyzed by comparing with the single covered vinyl house. The results obtained from this study can be summarized as follows : 1. The optimum thickness of the double-wall of the double covered vinyl house was found to be 5 to 10 cm. 2.When the outside temperature varied in the range of -8.3 to -1.5$^{\circ}C$ during the nighttime, the inside temperature of the double covered vinyl house insulated with the styrene pellets showed 7.7 to 11.7$^{\circ}C$ and the inside temperature of the single covered vinyl house showed -5.8 to 2.3$^{\circ}C$. Therefore, the effects of insulation of the double covered vinyl house insulated with the styrene pellets were confirmed to be excellent. 3. Also, the excessive increase of the inside temperature in the vinyl house was prevented by the shading effect of the double covered vinyl house insulated with the styrene pellets during the daytime. 4. When the outside temperature varied in the range of 17.7 to 30.0$^{\circ}C$ during the daytime, it was possible to keep the inside temperature at 30${\pm}$4$^{\circ}C$ in the double covered vinyl house by operating the insulation system. 5. The transmissivity of the double covered vinyl house with the styrene pellets removed was 52.4 % on the average.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1540-1547
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• 2013

The energy economic analysis of the standard rural house model with PV system was performed based on annual energy demand calculation using the EnergyPlus to contribute in reducing building energy which occupies 25% of national energy consumption and in developing a low-energy & eco-friendly house model. Two types of PV system installation was considered to cover electricity demand for cooling, electric, and heating devices. For the selected house model, heating energy demand is 7 times higher than cooling energy demand. For the Case1, it is favorable to use electricity from PV system for cooling and electric devices and to sell surplus electricity. For the Case2, it is favorable to use electricity from PV system for cooling, electricity and heating devices and to sell surplus electricity. Considering the installation cost of PV system and heat pump air conditioning system, the break-even point of Case1 and Case2 are about 13 and 11 years respectively. Although the installation cost of Case2 is more expensive, Case2 provides three times more profit than Case1 after the break-even point. Because the expected average life time of the selected PV system is 25 years, Case2 is more favorable option for the given standard rural house model.

• Proceedings of the Korean Institute of Interior Design Conference
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• 1999.04a
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• pp.133-136
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• 1999

This study intends to develop an evaluation model which could be used as an effective tool for criticizing the model house of multi-family housing. The evaluation model has been developed based on the theoretical framework suggested by previous results of research related on hosing design, which comprises the following four components: 1) the paradigm of future home and life-style, 2) marketing effects of housing developer, 3) goals and principles of housing design, and 4) results of user-preference study. In this study, an evaluation model was suggested as a preliminary form which would be modified in detail after series of tests in the field. The evaluation model will be used provide standardized criteria for the quality of model houses, and eventually help to improve the quality of multi-family housing design by balanced information from theorist, user and developer.