• 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

• Asia-Pacific Journal of Business
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• v.14 no.2
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• pp.51-61
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• 2023

Purpose - Since COVID-19, the government's expansion of liquidity to stimulate the economy has resulted in an increase in private debt and an increase in asset prices of such as real estate and stocks. The recent sharp rise of the US Federal fund rate and tapering by the Fed have led to a fast rise in domestic interest rates, putting a heavy burden on the Korean economy, where the level of household debt is very high. Excessive household debt might have negative effects on the economy, such as shrinking consumption, economic recession, and deepening economic inequality. Therefore, now more than ever, it is necessary to identify the causes of the increase in household debt. Design/methodology/approach - Main methodology is regression analysis. Dependent variable is household loans from depository institutions. Independent variables are consumer price index, unemployment rate, household loan interest rate, housing sales price index, and composite stock price index. The sample periods are from 2017 to May 2022, comprising 72 months of data. The comparative analysis period before and after COVID-19 is from January 2017 to December 2019 for the pre-COVID-19 period, and from Jan 2020 to December 2022 for the post-COVID-19 period. Findings - Looking at the results of the regression analysis for the entire period, it was found that increases in the consumer price index, unemployment rate, and household loan interest rates decrease household loans, while increases in the housing sales price index increase household loans. Research implications or Originality - Household loans of depository institutions are mainly made up of high-credit and high-income borrowers with good repayment ability, so the risk of the financial system is low. As household loans are closely linked to the real estate market, the risk of household loan defaults may increase if real estate prices fall sharply.

• Korean Journal of Construction Engineering and Management
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• v.16 no.1
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• pp.74-81
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• 2015

As one of urban infrastructure system, the electricity substation is critical for urban life and industrial activity as the electricity demands get higher than ever. However the substation is generally regarded as unpleasant or dangerous facility, which finally results in the continuous opposition movement by resident due to the belief of unidentified negative effect in apartment prices. Accordingly, as the scientifically objective and quantitative analysis is required to solve the social conflict, this study intends to examine the variation affected by urban infrastructure system, expecially for substation. After the independent variable defining the price of apartment and the dependent variable, which is apartment price, are identified and their spatial data has been filed, the forecasting model has been developed through the hedonic price function as well as artificial neural networks system. The research finding indicated that the spatial range affected by substation is not notable and the range of some case was applicable for less than 600m. It is expected that these research findings can be applied for establishing the one of solid cases for the analysis of economical effect to local housing market by the urban infrastructure system.

• Korean Journal of Construction Engineering and Management
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• v.12 no.1
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• pp.133-140
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• 2011

Recently, the demolition industry is becoming more important than ever for formulating reuse and recycling of a construction waste with the current trend in pursuing a sustainable development. As considering the situation of a domestic housing construction and an existing house, a scale of a demolition market is expected to increase continually. Therefore, for a sustainable development, it is needed to forecast and manage rightly the demolition waste producted in a demolition phase. But, because most of a demolition company is very small and the investment in a technology development is not enough, the effort to develope a system and to make a standard for managing righly a demolition waste is also not sufficient. Therefore, this study develops a system to automatize quantifying a demolition waste. This system makes it possible to manage the planning of demolition works and the quantifying, disposal, reusing and recycling of a demolition waste in one system by integrating all the activities related with demolition works. 3D drawings of each element for demolition works will manage by being linked to its schedule for visualizing 3D object. Also, this study presents methods for quantifying easily a demolition waste by using 3D object.

• 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.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.482-485
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• 2002

The boom of housing market lead to build a lot of apartment houses concentrated on the metropolitan area and developing new city in 1980's made 2,000,000 houses. In this time, quality standards could not be satisfied with consumers' desire due to the policy about excessive supply and come from unexpected defects in the complected buildings. In $1980's\~1990's$, It would be performed on the study for defect prevention in apartment houses. It has contributed in no way to the reduction at the rate of the defect outbreak and the solution of consumers' dissatisfaction by flaws. The reason is that the study related defects is not linked and applied by the managing and controlling system, Therefore, the study will be analyzed out defect information occurred on apartment houses of domestic construction and classified by type features. As a result, it will suggest web-based feed-back system for getting systematic information and the practical use.

• Korea journal of population studies
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• v.21 no.2
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• pp.58-82
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• 1998

It is usually proposed that job security of old age workers is hampered by the structure of wage increasing with age. This paper sets forth a model to comprehend the characteristic of the old age workers' labor market and policy implications derived from it. In order to stimulate demand for old age workers, policy initiatives should be taken as follows : the wage criteria should be simplified which apply differently from one institution to other; incentives relatively favorable for employing old age workers' in manufacturing sector should be also given to service sectors; employment subsidy or other tax incentives should be given for labor contract after the retirement age; licensing and evaluation system for job ability should be introduced based on occupation & job analysis. To lower the reservation wage of workers, mortgage loan for house and long-term low interest loan for tuition fees should be developed together with stabilization of housing cost. Wedding culture which requires high expense should be amended. Above all, it is necessary to install reasonable social security system. Policy orientation should also pay attention to reduce labor supply of the old aged via aiding old age workers' firm opening and voluntary civil service together with developing various honor programs for members of civil corps.

• Journal of the Korean Institute of Rural Architecture
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• v.11 no.2
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• pp.1-8
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• 2009

This paper evaluate use on facilities of green tourism by participator's questionnaire and urban inhabitants' questionnaire. As the result of study, it shows follows; 1) To make town look more traditionally we should rebuild the buildings and the styles of roof with our own traditional rural system. And, we also change the block and brick style fence into soil or rock one instead to look rural path. The agricultural land and watercourse should be left naturally to be looked non-polluted environment. 2) The outdoor toilet, washing stand and distribute should be maintained and managed clearly every time. Residents' own housing also should be maintained to promote the home-stay lodging. 3) To improve the satisfaction of people's need of agricultural product, the special market building or place that could be packed and sold the product at the same time should be built or made. And, it should be located in the harmonious spot with the natural scenery and good parking lot.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2005.11a
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• pp.141-148
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• 2005

This study as a demand of reconstruction allows the longevity of the multi complex, analyze the problems and solutions for a long term maintenance planning scheme, and how to save contingency fund to utilize. The major role of the multi complex housing market reflects Positively on our valuable society, provides a better life of environment on top of longevity and for the superior living duality. For a achievement and improvement existing long term maintenance Plan and contingency fund system should be considered as follows. First, shall be expanded more units of house as smaller group. Second, advice from expert shall be reconsidered, eliminated, and protected reorganizing an informal reconstruction planning comparatively legal procedure must be renegotiated and pursued. Third, the fund which saved for the contingency has to clarified as tax free item by government. It's not only mistreated as a limitation of personal asset but also treated as national source Despite of rather compulsive and constructive method must be noticed by whoever owns for, more positive follows, promotion and directing must be able to guide its understanding and adherence of importance and inevitability.

• Journal of the Korean Society of Safety
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• v.37 no.6
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• pp.71-80
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• 2022

Since the 2000s, the demand for private demolition works has been gradually increasing as the apartment housing market has been led by redevelopment and reconstruction. In the case of the military, the Ministry of National Defense is consolidating troops from each military unit to reorganize the unit structure in accordance with Defense Reform 2.0; the plan includes reducing the garrison used by each unit to 70% of its current level. Accordingly, the demand for demolition work in the military is also expected to increase. However, the military regulations do not reflect the relevant laws that have been revised recently. This study identifies regulations and system improvements for demolition work suitable for the military based on an analysis of accident cases that have occurred during demolition work, of domestic and foreign laws and regulations related to military demolition work, and of the problems with current military safety management at each stage of planning, design, and construction. The study subsequently proposes improvements for military demolition work, including budget execution adjustment, the establishment of training courses, on-site inspections, the development of guidelines for military demolition work, the provision of risk assessment standards, and the need for the qualification of equipment operators.