• International journal of advanced smart convergence
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• v.11 no.1
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• pp.19-27
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• 2022

Across the world, 'housing' comprises a significant portion of wealth and assets. For this reason, fluctuations in real estate prices are highly sensitive issues to individual households. In Korea, housing prices have steadily increased over the years, and thus many Koreans view the real estate market as an effective channel for their investments. However, if one purchases a real estate property for the purpose of investing, then there are several risks involved when prices begin to fluctuate. The purpose of this study is to design a real estate price 'return rate' prediction model to help mitigate the risks involved with real estate investments and promote reasonable real estate purchases. Various approaches are explored to develop a model capable of predicting real estate prices based on an understanding of the immovability of the real estate market. This study employs the LSTM method, which is based on artificial intelligence and deep learning, to predict real estate prices and validate the model. LSTM networks are based on recurrent neural networks (RNN) but add cell states (which act as a type of conveyer belt) to the hidden states. LSTM networks are able to obtain cell states and hidden states in a recursive manner. Data on the actual trading prices of apartments in autonomous districts between January 2006 and December 2019 are collected from the Actual Trading Price Disclosure System of the Ministry of Land, Infrastructure and Transport (MOLIT). Additionally, basic data on apartments and commercial buildings are collected from the Public Data Portal and Seoul Metropolitan Government's data portal. The collected actual trading price data are scaled to monthly average trading amounts, and each data entry is pre-processed according to address to produce 168 data entries. An LSTM model for return rate prediction is prepared based on a time series dataset where the training period is set as April 2015~August 2017 (29 months), the validation period is set as September 2017~September 2018 (13 months), and the test period is set as December 2018~December 2019 (13 months). The results of the return rate prediction study are as follows. First, the model achieved a prediction similarity level of almost 76%. After collecting time series data and preparing the final prediction model, it was confirmed that 76% of models could be achieved. All in all, the results demonstrate the reliability of the LSTM-based model for return rate prediction.

• Land and Housing Review
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• v.14 no.3
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• pp.145-155
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• 2023

Recently, with the widespread adoption of Building Information Modeling (BIM) technology in the construction industry, various object detection algorithms have been used to verify errors between 3D models and actual construction elements. Since the characteristics of objects vary depending on the type of construction facility, such as buildings, bridges, and tunnels, appropriate methods for object detection technology need to be employed. Additionally, for object detection, initial object images are required, and to obtain these, various methods, such as drones and smartphones, can be used for image acquisition. The study uses a 360° camera optimized for internal tunnel imaging to capture initial images of the tunnel structures of railway and road facilities. Various object detection methodologies including the YOLO, SSD, and R-CNN algorithms are applied to detect actual objects from the captured images. And the Faster R-CNN algorithm had a higher recognition rate and mAP value than the SSD and YOLO v5 algorithms, and the difference between the minimum and maximum values of the recognition rates was small, showing equal detection ability. Considering the increasing adoption of BIM in current railway and road construction projects, this research highlights the potential utilization of 360° cameras and object detection methodologies for tunnel facility sections, aiming to expand their application in maintenance.

• Journal of Popular Narrative
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• v.25 no.4
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• pp.321-359
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• 2019

In the 1970s, the full-scale development of the area now known as Gangnam began, ushering in the era of real estate investment on apartments which transformed housing styles in Korea. Apartments were pitched as the most ideal type of housing, creating a competitive market of high demand and skyrocketing prices. The apartments were also viewed as a means of quick asset investment among middle-class Koreans. Within this apartment frenzy stood the female real estate speculator, the bokbuin. This study seeks to locate the bokbuin in the real estate development market after the late 1970s. The apartment speculation boom cannot be attributed to the bokbuin alone, yet she became the target of public anger and criticism, singled-out as being responsible for fueling illegal and unethical investments. The apartment boom of the 1970s was in fact generated in large part by the government, developers, construction companies and realtors. While their pursuit of profit was deemed as legitimate, the bokbuin's conduct was mostly tainted by presumed illegitimate and greedy motivations. This study problematizes this gendering of real estate investment and treat the bokbuin as a byproduct of the family-centered culture in East Asia. Analyzing Im Kwon Taek's film "Mrs. Speculator", Park Ki Won's conte, "Bokbuin", Park Wan Seo's short story, "Children of Paradise", "The People of Seoul", this study shows that bokbuin's pursuit was not hers alone; it was the collective pursuit with her husband for the enhancement of family finances. This stud y argue that the bokbuin embodied the thickly misogynistic climate of the 1970s that projected the chaotic rise of greed onto the woman.

• 한국노년학
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• v.32 no.2
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• pp.649-668
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• 2012

The purpose of this study ahead of the aging society in Korea to prevent problems of the elderly aged new addiction Internet Addiction and identify factors affecting the quantitative increase and qualitative improvement beyond that aims to promote. To this end, residents in Seoul over the age of 60's targets, local welfare, cultural centers, senior centers and other research in the area through one-on-one interviews were conducted the survey. Findings The average degree of Internet addiction elderly 36.16 points (SD = 10.02) and the distribution of at least 20 points to 65 points, respectively. Factors affecting the degree of Internet addiction as a computer time (β = .248, p <.001), mon allowance (β = .180, p <.01), age (β = .139, p <.01) and social support (β = .087, p <.05), self-efficacy (β = - .078, p <.05), most used location (β = - .116, p <.05), degree of family relationship (β = - .147, p <.01), housing type (β = - .153, p <.01), were of the order, this factor was 17.6% of the variance. In other words, the more computer time, the higher the age, the more mon allowance, housing is not self, the lower the degree of family relationship, the house is not a place most used, lower self-efficacy, social support is high As increasing the degree of Internet addiction was thought to be the two predictor variables. Survey results to target the elderly through the Internet addiction group psychotherapy program implementation, and production and distribution of manuals related to Internet use and addiction-related factors, according to the case-by-case Case management services are tailored to be done, and the Internet in general for seniors potential risks related to use in training and preventive services for the elderly will need to be made.

• Land and Housing Review
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• v.14 no.4
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• pp.121-129
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• 2023

In this study, we attempted to reduce CO₂ generated during manufacturing by replacing limestone (CaCO₃), a carbonate mineral used to produce cement clinker, with a decarbonated raw material to which CO₂ is not bound. The raw material for decarbonization was cement paste attached to waste concrete, among various industrial by-products. Waste concrete has cement paste adhered to the aggregate, which cannot be separated efficiently by general crushing and grinding methods. Peeling and grinding methods effectively remove only the cement paste without damaging the original aggregate. The abrasion time, steel ball type, and steel ball ratio were selected as effective factors for Abrasion. An optimal abrasion experiment was conducted to produce waste concrete fine powder containing decarbonated CaO as a cement clinker raw material through an experimental design method. The experiment revealed that the optimal conditions for producing waste concrete fine powder were an abrasion time of 7 minutes, a steel ball size for pulverization of 8 mm, and a steel ball ratio for pulverization of 0.6.

• Land and Housing Review
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• v.15 no.2
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• pp.107-124
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• 2024

Based on Muan-gun, Jeollanam-do, this study explores how to mitigate the disappearance of rual areas. The study surveyed 95 young farmers in Muan-gun to assess their farming practices and the challenges they face. We further employ factor analysis and cluster analysis classify young farmers in Muan-gun, facilitating the identification of tailored policies or initiatives aimed at fostering and supporting young farmers. The results are summarized as follows. First, Muan County does not have any ordinances or original projects specifically designed to support young farmers. Second, the succession rate of farmland among young farmers in Muan County is 41.1%, which is comparable to the national rate of 43.7%. This indicates that approximately 40% of young farmers in Korea have inherited farmland, a critical foundation for agricultural activities. Third, despite accumulating farming experience, young farmers have not seen any improvement in local living conditions, and rather their difficulties have intensified. Fourth, this study conducted a factor analysis using 21 variables, resulting in the selection of seven common factors for cluster analysis. Consequently, young farmers in Muan County were categorized into three groups. The multinomial logit analysis revealed that the typology of young farmers is influenced by indicators such as cultivated area, farming experience, demand for smart farms, farm income, and farming type (rice cultivation or other). Therefore, to attract young farmers and prevent the decline of rural areas, policy efforts should focus on minimizing entry barriers to farming infrastructure, such as access to farmland, and improving local settlement conditions.

• Korean Journal of Construction Engineering and Management
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• v.21 no.2
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• pp.59-69
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• 2020

The regulation of business area was abolished to improve the competitiveness of the construction industry and the ability of general and specialty contractors to enter the mutual market. As the next step, the government is preparing for a reorganization of business type. If the impact of the abolishing of business area on the construction industry is analyzed, the result can contribute to determining the step by step application scope of the reorganization of business type. This study derived the business types having a high probability of the mutual market entry of general and specialty contractors. Then, the size of mutual market entry is analyzed. First, the connection between the general and specialty construction, and the similarities between the registration standards of general and specialty construction are analyzed. Based on the result, a general contractor can enter 15 business types of specialty construction, and the market size is about 78.8 trillion KRW. This is about 82% of the total contract cost of specialty construction during the year 2017 (about 96 trillion KRW). Next, based on the relevance of business contents, the market size when general contractors enter the specialty construction market is analyzed. As a result, the market size is about 24.7 trillion KRW, and this is about 13% of total contract cost of general construction during the year 2017 (about 190 trillion KRW). Based on the result of this study, there is a higher probability of the mutual market entry of general contractors into specialty construction than vice versa. However, the result of this study is based on the current contents of business types, registration standards, and construction data of before abolishing the regulation of business area. This is a research limitation. If the business contents and registration standards are changed in the future, the result could differ from the current result.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.1
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• pp.18-26
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• 2014

This study was conducted to analyze the recognition of the validity of the design changes that classified the type of design changes that occurred in the Apartment Complex Landscaping Planting Construction that have been ordered in 'A' work. This research was also carried out for the purpose of presentation of the basic data in order to effectively manage the change order of landscape-planting construction's future work. The following conclusions were derived. First, the 7 types of change orders in planting design were delineated as 'design changes for image improvement', 'design changes due to the mismatch of design statement', 'design changes due to lack of field study', 'design changes for consideration of the user', 'design changes due to consideration of the workability', 'the design changes for ease of maintenance', and the 'design changes due to the relationship with the Engineering species of other.' Second, it is possible to produce a negative impact of all construction costs have increased due to design changes of landscaping planting construction is grasped. Third, There were the most frequent change order in planting design for the 'image improving', 'due to the mismatch of planting design to the site situation.' Fourth, the results of confirmatory targeting professional landscaping areas, was found that the statistics of the type of change landscaping planting construction design seven derived in this study is valid.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.761-770
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• 2017

The objective of this study is to propose a community facility design for the revitalization of the piloti spaces of deteriorated low-rise residential blocks. For this study, the precedent research and institutional limitations are examined. In addition, this study selected and analyzed a deteriorated low-rise residential block utilizing pilotis. Generally, in this type of residence, 8 to 10 generations live together in multi-family houses and row houses, so it is a type of housing that lacks both public space and parking places. Therefore, we attempted to improve the situation of the communities by making use of the space between the pillars and walls without infringing on the parking places. In addition, we took into consideration the design and arrangement of the piloti by evaluating the inconveniences and needs of the residents through interviews. Specifically, various modules were planned and used to transform the spaces between the pillars of the pillar type piloti structure. This study examined the possibilities offered by various materials and modules, and studied the diverse possibilities that can be offered by changing the modules.

• 한국노년학
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• v.37 no.3
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• pp.707-726
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• 2017

Korea is proceeding to aging society at much faster pace than other countries. To alleviate various problems (health, environment, social relationships, psychology and emotion, and financial problems) of the elderly caused by aging society, there has been increasing attention to social capital. This study investigated types of ways that the elderly at individual level are aware of social capital and the characteristic. In addition, factors that influence the types were studied. Data from 1060 elderly with the age of 65 and older were collected in Korea. Excluding missing data on variables used in the study, data of 960 elderly were used for analyses. K-mean cluster analysis was conducted to investigate types of elderly awareness on social capital at individual level. Multinominal logistic regression was used to find out factors of the types. K-mean cluster analysis resulted in three types of awareness on social capital among the elderly: (1) potential of social capital; (2) severance of social capital; and (3) wealth of social capital. Multinominal logistic regression resulted in that compared to potential of social capital type, when the elderly were younger, inclination of politics was more progressive, they did not have religion, they did not reside in rural, and they did not live in multiplex housing, the elderly were more likely to be in severance of social capital type. Also, when the elderly were women, had higher education and standard of living, were Christian, and did not reside in rural regions. they tended to be in wealth of social capital type. Based on the study results about awareness on social capital among the elderly and factors related to the awareness types, practical and political suggestions that promote social capital to solve problems of the elderly were provided.