• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.183-188
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• 2017

Block Chain is a technology that records and shares distributed ledgers without a central authority, providing a decentralized platform for transparent transactions in the business and enhancing transparency and traceability in all transactions to ensure trust in the transaction. Despite initial doubts about this technology, it is committed to adopting, adapting and improving the technology in a wide range of industries, including finance, government, security, logistics, food, medical, legal, and real estate. This study examines this technology, its applicability and potential benefits to the manufacturing supply chain. A tracking system of manufacturing supply chain to visualize transparency and traceability is implemented, and the conditions for adopting the technology in the manufacturing supply chain and the issues to be addressed are discussed.

• Journal of Arbitration Studies
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• v.25 no.4
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• pp.119-136
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• 2015

The contracting parties must be provided a litigation scheme in order to resolve a dispute. This means taking advantage of effective measures for mediation or arbitration. A lease transaction is likely to occur mainly after a dispute. It is necessary to take the appropriate measures in advance. In general, when a variety of contracts are created, conflicts arise and disputes have to be resolved through mediation and arbitration documents, and adjustment or intervention is called for. Arbitration system is a system that is established based on the trust of the arbitral tribunal. For such system, quality education for enhancing professionalism required of the arbitrator is important. A party responding to an arbitration agreement presents a problem. The current system must ensure that there are no disadvantaged parties. However, a party must depend on an arbitration agreement that is part of the law rescue system. A litigation support by the local Bar Association must be carried out. It should be notified of the contents of the contract to select a strategy that will best resolve the conflict. In the case of lease transactions, there is a need to create a scheme to make a standard agreement that inserts an arbitration clause. Lease sale and purchase agreement or lease agreement is a form of contract that has been frequently used. Here, the arbitration agreement clause for a lawyer that will serve as arbitrator should be inserted. It is a scheme that can be activated for individuals in poor areas. In addition, it is possible to see it taking a scheme to take advantage of the lawyer system for the future of the town. The Attorney System of a town is a system that the Korean Bar Association, Legal Department has put in place since 2013. If a real estate trade dispute occurs, the role of the intermediary attorney should be to carry out his duties efficiently. In the case of real estate transaction conflicts, the lawyer of the village should be registered as the arbitrator. It is important to establish a basis of regulations through this type of real estate transaction accident analysis. Before proceeding with various adjustment systems, it is desirable to expand the arbitration region. Now we need a realtor amendment. It is the part where fragmentation of intermediary qualification is required, along with the eligibility of a subdivision.

• Korea Real Estate Review
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• v.28 no.4
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• pp.63-73
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• 2018

The purpose of this study is to identify the key factors affecting official land values and the appropriateness of the assessed land price, to find out what determines the real estate price and to assess the appropriateness of the valuation. This study explored whether actual transaction prices of forest land located in six Gu districts in southern and northern parts of Han river are appropriate using independent sample t-analysis and logistic regression analysis. Results showed that regional differences and shape were adequate for development restriction areas, whether biotope was designated, whether or not to be preserved, differences in pitch, and differences in use, and differences in bearing and approach. Thorough analysis of unique factors that determine forest land prices must be carried out in advance and the findings should be applied to the examination and assessment of official land values. The forest land appraisal system is closely related to the public's economic activity, thus it is necessary to apply forest land value determinants considered to be significant by market participants to the forestland appraisal system. I look forward to seeing variables related to the appropriateness of forest land transactions drawn from this study being used as indices for settlement of forest land transaction orders and market stabilization.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.59-76
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• 2023

Since the COVID-19 era, the rise in apartment prices has been unconventional. In this uncertain real estate market, price prediction research is very important. In this paper, a model is created to predict the actual transaction price of future apartments after building a vast data set of 870,000 from 2015 to 2020 through data collection and crawling on various real estate sites and collecting as many variables as possible. This study first solved the multicollinearity problem by removing and combining variables. After that, a total of five variable selection algorithms were used to extract meaningful independent variables, such as Forward Selection, Backward Elimination, Stepwise Selection, L1 Regulation, and Principal Component Analysis(PCA). In addition, a total of four machine learning and deep learning algorithms were used for deep neural network(DNN), XGBoost, CatBoost, and Linear Regression to learn the model after hyperparameter optimization and compare predictive power between models. In the additional experiment, the experiment was conducted while changing the number of nodes and layers of the DNN to find the most appropriate number of nodes and layers. In conclusion, as a model with the best performance, the actual transaction price of apartments in 2021 was predicted and compared with the actual data in 2021. Through this, I am confident that machine learning and deep learning will help investors make the right decisions when purchasing homes in various economic situations.

• Journal of Environmental Impact Assessment
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• v.20 no.5
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• pp.729-745
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• 2011

The purpose of this paper is to estimate the external diseconomies of an unwelcomed facility on the nearby houses. The facility and the area studied are Dangin-Ri power plant in Mapo-Gu, Seoul and the residential district surrounding it respectively. The nearby housing prices have been changed according to the time and circumstances of the public announcements about the reconstruction or removal plans of the plant. These price changes are regarded as the capitalized values of the external diseconomies due to the plant. This study is based on the hedonic price theory in order to estimate the diseconomies in monetary value. The tools for the estimation are four models of multiple regression with the transaction price as the dependant variable and various housing characteristics including the external effects of the plant as the independent variables. The sample analyzed is 833 house transactions for the past 5 years in the research area. The facts found are as follows; First, the most suitable functional form for the estimation is confirmed to be the linear model. Second, there are significant differences in influence on the housing values among the independent variables, that is, locational characteristics, physical features, and environmental changes with time. Third, the external diseconomy is estimated as \80,137,807 in case that the plant would be reconstructed in the underground of the present site, whereon a substitutional public park would be constructed and as \59,142,248 in case that the plant would move away.

• Journal of Korea Spatial Information System Society
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• v.7 no.3 s.15
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• pp.25-31
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• 2005

With the recent surge of public interests in real estate markets, public demand on cadastral information including cadastral maps has been increasing rapidly. However, the torrent system that provides cadastral information falls far short of meeting public demand due to its main focus on government users. In order to reduce the gap between public demand and supply of cadastral information, a new business model is needed that fulfills public needs and at the same time generates profits for service providers. The main objective of this paper is to identify a potential business model that satisfies the above conditions. To achieve this objective, we have explored the unmet needs of public users in real estate transactions and examined whether the unmet needs can best be served by the resources and capabilities of Korea Cadastral Survey Corporation. Then, we have crafted a detail business model i.e., Syndication model, that includes value propositions, resource maps, and revenue and cost estimations. Finally, a plan is proposed to serve government users better with the financial surplus from the proposed business model. The results of this study can be useful for other similar areas including GIS, ITS and telematics, academically as well as practically.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.131-135
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• 2009

Domestic construction industry is facing big difficulties by a worldwide financial crisis. Especially the deterioration of liquidity by the reject of banks for project financing and unsold housing project made a big problem on financing for the ongoing and new projects. To solve this, it is critical for construction companies. banking facilities and public organizations to cooperate and support each other. In this study, the methods which each part can do are investigated. Construction companies can do a price reduction, finance condition improvement for deposit and down payment, asset sale and cost reduction. And Public organizations can buy the assets of construction companies with proper price and ease the regulation to activate transactions of real estate. In the case of Banking facilities, they can support arrangement and liquidation of insolvent projects and so on.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.198-205
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• 2021

With the development of blockchain technology, the scope of blockchain applications has expanded rapidly. Blockchain decentralization allows transaction participants to make transparent and safe transactions without a third trust agency. A distributed ledger-based system enables transparent and trusted business for anonymous users. For this reason, many companies apply blockchain to various fields such as logistics, electronic voting, and real estate. Despite this interest, there are still not enough case studies confirming the potential of blockchain as a concrete business model. Therefore, it is necessary to study how blockchain technology can change the existing business model and connect it to a new business model. In this paper, we propose blockchain-based business models and workflow types in various fields such as healthcare, logistics, and energy. We also present application cases. We expect to help companies apply blockchain to their business.

• Journal of Contemporary Eastern Asia
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• v.16 no.1
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• pp.93-113
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• 2017

This study aimed to determine the changes in the local fiscal structure brought about by the change in the transaction tax, including the acquisition tax, by the central government. The review of the analysis results proved the following. First, the government's transaction tax exemption policy effectively influenced the expansion of the local fiscal budget. Transaction tax exemptions such as acquisition tax exemptions would not contribute to the expansion of the local fiscal budget in the short run, but may do so in the long run. Second, the review of the effect of the transaction tax exemption policy by the central government on the local fiscal structure confirmed that its impact on the local fiscal structure may vary depending on the timing of such tax exemption. Third, the overall local fiscal structure as a result of the transaction tax exemption by the central government was confirmed to have been influenced more by the fiscal capability of the local government than by the income level of the local residents. In conclusion, the stimulation of real estate transactions using tax tools may positively influence the overall fiscal structure of local governments, but it would also put pressure on the fiscal management of local governments because it is largely influenced by the fiscal capability of the local governments.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.24 no.9
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• pp.695-705
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• 2014

In this paper, two types of techniques for the prediction of radiated sound pressure due to vibration of a structure are investigated. The prediction performance using wave-number sensing technique is compared to that of conventional prediction method, such as Rayleigh's integral method, for the prediction of far-field radiated sound pressure. For a coupled plate, wave-number components are predicted by the vibration response of plate and the prediction performance of far-field sound is verified. In addition, the applicability of distributed sensors that are not allowable to Rayleigh's integral method is considered and these can replace point sensors. Experimental implementation verified the prediction accuracy of far-field sound radiation by the wave-number sensing technique. Prediction results from the technique are as good as those of Rayleigh's integral method and with distributed sensors, more reduced computation time is expected. To predict the radiated sound by the efficient configuration of structural sensors, composed(synthesized) mode considering sound power contribution is determined and from this size and location of sensors are chosen. Four types of sensor configuration are suggested, simulated and compared.