This study attempted to simulate changes in the thermal environment according to the type of apartment complex in Korea using CFD techniques and evaluate the thermal environment by type of apartment. First, apartment complex types in the 2000s and 2010s were referred from previous studies and four types of apartment complex were extracted from. Second, the layout of the apartment complex and temperature changes were analyzed by the direction of wind inflow. Third, a standardized model was created from each type using tower type, plate type, and mixed driving. Last, CFD simulations were performed by setting up the inflow of wind from a total of eight directions. The temperature was relatively low in the type consisting of only the tower type and the type of placing the tower type in the center of the complex, regardless of the direction of the wind. It was due to the good inflow of wind from these types to the inside of the complex. It can be interpreted because wind flows easily into the complex in these types. The findings showed that wind flow and resulting temperature distribution patterns differed depending on the building type and complex layout type, confirming the need for careful consideration of the complex layout in the early design stage. The results are expected to be used as basic data for creating a sustainable residential environment in the early design stage of apartment complexes in the future.
This study attempted to identify the effects of macroeconomic variables such as the All Industry Production Index, Consumer Price Index, CD Interest Rate, and KOSPI on apartment lease prices divided into nationwide, Seoul, metropolitan, and region, and to present a methodological prediction model of apartment lease prices by region using Long Short Term Memory (LSTM). According to VAR analysis results, the nationwide apartment lease price index and consumer price index in Lag1 and 2 had a significant effect on the nationwide apartment lease price, and likewise, the Seoul apartment lease price index, the consumer price index, and the CD interest rate in Lag1 and 2 affect the apartment lease price in Seoul. In addition, it was confirmed that the wide-area apartment jeonse price index and the consumer price index had a significant effect on Lag1, and the local apartment jeonse price index and the consumer price index had a significant effect on Lag1. As a result of the establishment of the LSTM prediction model, the predictive power was the highest with RMSE 0.008, MAE 0.006, and R-Suared values of 0.999 for the local apartment lease price prediction model. In the future, it is expected that more meaningful results can be obtained by applying an advanced model based on deep learning, including major policy variables
Drones are used in various fields, including land survey, transportation, forestry/agriculture, marine, environment, disaster prevention, water resources, cultural assets, and construction, as their industrial importance and market size have increased. In this study, image data for deep learning was collected using a mavic3 drone capturing images at a shooting altitude was 20 m with ×7 magnification. Swin Transformer and UperNet were employed as the backbone and architecture of the deep learning model. About 800 sheets of labeled data were augmented to increase the amount of data. The learning process encompassed three rounds. The Cross-Entropy loss function was used in the first and second learning; the Tversky loss function was used in the third learning. In the future, when the crack detection model is advanced through convergence with the Internet of Things (IoT) through additional research, it will be possible to detect patching or potholes. In addition, it is expected that real-time detection tasks of drones can quickly secure the detection of pavement maintenance sections.
To evaluate the efficiency of commuting patterns, various commuting indicators such as excess commute and commuting potential utilized have been developed and used. It is crucial to calculate these indicators reasonably to reveal the differences in commuting patterns among metropolitan areas and to consider these in the process of formulating commuting policies. However, commuting indicators are generally calculated at the administrative district level, and thus, they are not free from the problem of the modifiable areal unit problem (MAUP). This issue can undermine the rationality of comparing commuting efficiency between metropolitan areas, making it necessary to handle the calculation of commuting indicators carefully. Therefore, this study utilises Monte Carlo Simulation to calculate optimal, actual, and maximum commuting distances, and thereby presents the excess commute and the commuting potential utilized. To apply Monte Carlo Simulation to the context of South Korea, a constrained Monte Carlo Simulation is conducted, where residential and workplace locations used in the simulation are selected based on the actual locations of buildings. The analysis is conducted on 13 metropolitan areas with established metropolitan plans using the 2016 Household Travel Survey data. The commuting indicators calculated through the simulation showed minimal differences compared to the results obtained through conventional methods. The comparison of commuting efficiency among metropolitan areas revealed that even if the degree of spafial balance between residential and workplace locations is similar, the actual commuting patterns can differ significantly. It is suggested that further research considering characteristics such as the area of each metropolitan region will be necessary in the future.
The purpose of this study was to provide basic data for the familial voluntary service of the Healthy Family Center and then verify the effectiveness of its application in order to improve family healthy through a familial voluntary service. Study subjects were both volunteers who belonged to family volunteer corps of 12 Healthy Family Centers. Collected data was analyzed SPSS WIN 12.0 program. The results were as followed. First, a 54.1% of subjects is taking part in a familial voluntary service, while a 45.9% of them is not. Their positive intention of future participation is a 77.4%. The period of participation is from 6 months to two years. The frequency of participation is once or twice a month, and the length of activities per participation is for 3 hours. They have taken part in the service with a variety of public relations, and their motive of participation is by and large selfish. Second, as for the influence of participation in a familial voluntary service upon family healthy, the family healthy of participant group is higher in all the four sub-variables of family healthy than that of other groups. The group of which frequency of participation is once a week is better in family communication than the group of which frequency of participation is once or twice per month. The group of which motive of participation is altruistic is higher in sharing a value system among families than the group of which motive of participation is selfish.
The purpose of this study was to analyze middle-aged salaried workers' retirement plans and the factors that affect the plans. The main point of this study was to compare male workers with female workers on their economic preparation and health care plans. The major findings were as follows; First, middle-aged salaried workers perceived their level of economic retirement plan to be relatively low. Second, the factors the affected the level of economic preparation for post-retirement were their current subjective economic level, age, household assets and debts, economic and health problems expected in their future elderly life, and savings and assets reserved for their elderly life. Third, the factors that affected whether to put aside savings for elderly life or not were age, current subjective economic level, capital assets, and savings and assets reserved for their elderly life. Fourth, the level of preparation for post-retirement health care depended on health problems expected in their elderly life, current subjective economic level, locus of control, job, and expected retirement age. Overall, the factors that affect male salaried workers' economic and health care plans were different from those of female salaried workers. From the findings, it can be concluded that the middle-aged salaried workers' level of economic retirement plans was different from that of their health care plans. Also, male salaried workers' level of retirement plan were different from that of female workers.
The animal industry must be environmentally sound to ensure its long-term sustainable growth. Livestock wastes mostly manure, can be a valuable resource as well as a potential hazard to environment. The first option of manure management is developing an 'environmentally sound' feeding program and feeds so there are less excreted nutrients that need to be managed. Once the manure is produced it can be best utilized as a fertilizer of a soil conditioner. In many countries the amount of manure that can be spread on land depends on the nutrient requirements of the crop being grown. The laws specify maximum application rates and not animal stocking rates. Farmer who reduce the N and P component of manure can release pressure on the environment without having to reduce the number of animals. There are alternative system for housing and manure treatment which generate manure that are easier to handle and have less pollutants or more economic value. Treated animal waste may also be used as a feedstuff or fuel source. Most of the options of waste management result in increased costs to implement. It is necessary to assess the economics in order to find an acceptable compromise between the increased costs and the benefit to the environment. Animal welfare is also becoming more and more of an issue and it will lead to systems where animals are kept in less confined environment. The new system will have a great impact in the waste management system in the future.
The Journal of the Korea institute of electronic communication sciences
/
v.9
no.1
/
pp.105-110
/
2014
Korea, old buildings do not currently have earth-resistant facilities, and disaster prevention facilities have some limitation in responding properly to damage arising from natural disaster as they do not reflect recently occurring climatic changes. Accordingly, it is necessary to select vulnerable districts by taking into consideration the possibility of disaster occurrence and the current situation of infrastructures for disaster prevention in order to responding efficiently to future unexpected disasters. For this purpose, national government has recently formed the DB linkage council for disaster prevention under the participation of related agencies and constructed integrated database. But local governments have not properly provided it with basic data necessary to construct database, resulting in the delay of the project. Therefore, it is thought that national government needs to provide them with manpower and financial support.
This paper examines the actions and the factors driving those actions to reduce energy consumption and enhance energy efficiency taken by United States cities. While not much empirical evidence is available on why governments pursue practical sustainability actions, we attempt to shed more light on this important topic by empirically identifying factors that contribute to concrete actions toward sustainability policies. We adopt political market theory as a basic theoretical framework with policy-making applied to city energy consumption. Using the 2010 ICMA (local government sustainability policies and program) data, this study expands the focus of analyses to evaluate the effect of the form of government on energy consumption and energy efficiency by using multiple regression analysis. The findings show that at the city level, the mayor-council form of government are negatively associated with governments' efforts to reduce energy consumption. However, cities with at-large elections and municipal ownership are more likely to adopt sustainability actions. We also find that a large-scale economy has significant effects on the effort to reduce city energy consumption and improve energy efficiency. This shows that environmental policies are directly connected to locally relevant affairs, including housing, energy use, green transportation, and water. Thus, local level administrators could take an executive role to protect the environment, encourage the development of alternative energy, and reduce the use of fossil fuel and coal energy. These efforts can lead to important environmental ramifications and relevant actions by municipal governments.
There is a growing interest on and expansion of rights of people with disabilities. Among them, people with visual impairment show high adaptation to environments in comparison to people with other types of disabilities, thus a large percentage of them live in their own houses rather than residing in a care facility. According to the housing status of people with visual impairment, the ratio of their residence in rural areas is high. In rural areas people who have disabilities often live in poor residential environments, requiring much improvement. However, such improvement is too costly for them to pay, and home modification that does not fully consider the user, may cause less efficiency and another dangerous situation to people with disabilities. The purpose of this study is to delineate empirical lessons for direction of customized home modification for people with disabilities through analysis of process of home modification including the execution as a intervention. This study used qualitative method to examine and analyzed the entire customized home modification process. The conclusion of this study is as follows. First, home modification measures should be derived considering the suitability of the target building for the specific condition of residents. Second, discussions with various stakeholders from the early stage during which proper home modification measure is searched are essential for realizing appropriate customized home modification. This study has significance in that it provides the direction for customized home modification for people with disabilities as well as empirical data that could reduce trials and errors in the future.
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