• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3D
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• pp.409-418
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• 2009

The aim of this study is to analyze the evaluations and determinants on residential resettlements in accordance with urban regeneration by 7,396 samples from 19 housing redevelopment districts in Busan. The major finding on determinants on residential resettlements in accordance with urban regeneration are as follows; A binary logit model for determinants on residential resettlements in accordance with urban regeneration are composed of owner's characteristics, land and building characteristics, housing complex characteristics, and location characteristics. The significant variables in relation to owner's characteristics are owner's age, owner's place of residence, the possession period against property and investment intention. As a result of logit model for residential resettlements, it shows that the variables in relation to land and building characteristics are the land classification, the use of building, the size of land or building, the permission of building and the appraisal price on land and building. This result means that actual customer's investment connects to resettlement after redevelopment project. The other side, the housing complex variables consist of the brand of construction company, the ratio of large size housing and floor are ratio shows that improvable conditions for housing value are important factor to induce residence's resettlement. The location variables show that Dongbusan has higher probability, the reverse Jungbusan has lower probability in residential resettlement likewise residential preference.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.212-215
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• 2022

In the era of so-called digital transformation today, the need for the construction and utilization of big data in various fields has increased. Today, a lot of data is produced and stored in a digital device and media-friendly manner, but the production and storage of data for a long time in the past has been dominated by print books. Therefore, the need for Optical Character Recognition (OCR) technology to utilize the vast amount of print books accumulated for a long time as big data was also required in line with the need for big data. In this study, a system for digitizing the structure and content of a document object inside a scanned book image is proposed. The proposal system largely consists of the following three steps. 1) Recognition of area information by document objects (table, equation, picture, text body) in scanned book image. 2) OCR processing for each area of the text body-table-formula module according to recognized document object areas. 3) The processed document informations gather up and returned to the JSON format. The model proposed in this study uses an open-source project that additional learning and improvement. Intelligent OCR proposed as a system in this study showed commercial OCR software-level performance in processing four types of document objects(table, equation, image, text body).

• 한국노년학
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• v.39 no.1
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• pp.1-20
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• 2019

Recently, the Ministry of Health and Welfare has emphasized the necessity to build community care, and the interest of health care- long-term care-social welfare system continues. In order to examine the future vision of long-term care for elderly people, which can be a core system in establishing community models for elderly people in the future, we will implement aging in place as a national policy project. It is meaningful to analyze in depth the case of Japan's policy implementation through the amendment process of long-term care insurance system. The purpose of this study is to examine the concept definition, operating system, and major promotion process of the Integrated Care System in Japan and to suggest policy implications for the future Korea long-term care insurance system. As a result of reviewing the operation status and revision process of the long-term care insurance system for establishing the Integrated care system in Japan, it is necessary to clarify the basic principles and construction of community care system, diversification of residence type and upgrading work, establishment of linkage network of health care-long term care-social welfare, expansion of support for family and self-mind.

• Journal of the Korean earth science society
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• v.44 no.6
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• pp.629-642
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• 2023

Currently, low and intermediate level radioactive waste is being disposed of at the Gyeongju disposal site for permanent isolation. Since 2006, the Korea Radioactive Waste Agency has been conducting site characteristics surveys continuously verifying changes in the site based on the site monitoring and investigation plan. The hydrogeochemical environment of the disposal site is considered for the evaluation of natural barriers. However, the seawater must be considered because of the regional characteristics of Gyeongju, which is near the East Sea. Therefore, this study, collected 30 samples for deriving the groundwater quality data from seven wells and compared with two seawater samples collected from October 2017 to June 2022. Additionally, the study explores the groundwater monitoring method using statistical tools such as clustering and background concentration analysis. The groundwater samples in the study area were classified into two to four clusters depending on their chemical constituents-especially, EC, HCO₃, Na, and Cl-using statistical analysis, molar ratio, and K-means clustering.

• Journal of the Korean GEO-environmental Society
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• v.16 no.4
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• pp.5-12
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• 2015

Civil engineers have taken the numerous slope monitoring data for an engineering project subjected to hazard potential of slide. However, the topics on how to deal with and draw out proper information from the data related to the slope behavior have not been widely discussed. Recently, several researchers had installed the real-time monitoring system to cope with slope failure; however they are mainly focused on the hardware system installation. Therefore, this study tries to show how the measured data could be grouped and connected each other. The basic idea of analyzing method studied in this paper came from the clustering, which is the part of data mining analysis. Therefore, at the base of classification of time series data, the authors suggest three mathematical data analyzing methods; Average Index of different displacement ($AD_{i,j}$), Difference of average relative displacement ($\overline{RD}_{i,j}$) and Coordinate system of average and relative displacement ($\overline{RD}$, AD). These analyzing methods are based on the statistical method and failure mechanism of slope. Therefore they showed clustering relationships of the similar parts of the slope which makes the same sliding mechanism.

• Journal of Korean Tunnelling and Underground Space Association
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• v.26 no.3
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• pp.281-301
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• 2024

The power cable tunnels which are part of the underground transmission line project, are constructed using the shield TBM method. The disc cutter among the shield TBM components plays an important role in breaking rock mass. Efficient tunnel construction is possible only when appropriate replacement occurs as the wear limit is reached or damage such as uneven wear occurs. A study was conducted to determine the wear conditions of disc cutter using a deep learning algorithm based on real-time measurement data of wear and rotation speed. Based on the results of full-scaled tunnelling tests, it was confirmed that measurement data was obtained differently depending on the wear conditions of disc cutter. Using real-time measurement data, an algorithm was developed to determine disc cutter wear characteristics based on a convolutional neural network model. Distributional patterns of data can be learned through CNN filters, and the performance of the model that can classify uniform wear and uneven wear through these pattern features.

• Information Systems Review
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• v.26 no.1
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• pp.19-56
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• 2024

This study is empirical research to enhance understanding of AI (artificial intelligence) training data project in South Korea. It primarily focuses on the various concerns regarding data quality from policy-executing institutions, data construction companies, and organizations utilizing AI training data to develop the most reliable algorithm for society. For academic contribution, this study suggests a theoretical foundation and research model for understanding AI training data quality and its antecedents, as well as the unique data and ethical aspects of AI. For this purpose, this study proposes a research model with important antecedents related to AI training data quality, such as data attribute factors, data building environmental factors, and data type-related factors. The study collects 393 sample data from actual practitioners and personnel from companies building artificial intelligence training data and companies developing artificial intelligence services. Data analysis was conducted through Fuzzy Set Qualitative Comparative Analysis (fsQCA) and Artificial Neural Network analysis (ANN), presenting academic and practical implications related to the quality of AI training data.

• Journal of the Korean Geosynthetics Society
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• v.14 no.4
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• pp.59-77
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• 2015

In order to meet the new requirements for landfill materials, this study planned a study to apply mixed soil of mixing bottom ash and coastal dredged soil to the dredged ground. Coal ash generated from thermal power plant is divided into fly ash and bottom ash. In the case of fly ash, many studies have been conducted because small particles causes permeability coefficient to be small during recycling so no problem has been raised in the environmental area but the utilization of bottom ash has been limited because environmental problems have been raised during recycling due to its larger particle size and greater permeability coefficient. According to recently published studies, however, the results of the study that conducted the water analysis of leachate generated in the ground improvement section using bottom ash showed that heavy metal contamination levels were found to be within the reference value and no significant environmental problems were found so utilization of bottom ash is evaluated to increase significantly in the future. This bottom ash has the particle size of sand and only transportation costs need to be considered when providing materials because the majority has been disposed and it is judged as the most suitable material in dredging landfill in the economic aspect because most thermal power plants are located in the coast and transportation costs can be reduced by ship. Also, research on mixed soil that can maximize the effect of the construction period and construction cost savings than dredged soil is determined as needed because the demand for coastal dredging reclamation is increasing such as Saemangeum project etc. Therefore, we studied self-weight consolidation characteristics depending on sample processing and mixing method of mixed soil by carrying out interior self-weight consolidation experiments on mixed soil of mixing bottom ash and Kaolinite according to the new development needs of recent coastal reclaimed ground and these result findings are expected to be used as basic data when applying the large coastal dredged ground in the future.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.6
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• pp.12-18
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• 2010

This study was carried out in order to propose a planning index for improved school forests in Gyeonggido. For the purpose of this study we selected 42 out of 75 school forests established during 2005 in Gyeonggido. All 42 school forests were surveyed and analyzed by frequency, cross tabulation, and group average analysis with SPSS 12.0 version. The present condition of the school forests was analyzed with in conjunction with items such as the surrounding environment, centralization, and locational characteristics as nominal points. Other items: trees, shrubs, pavement, fruit trees, transplantation, evergreen trees, and recreation facility content percentage were analyzed as a proportion point. After reviewing the literature and analyzing the present condition of school forests, we constructed a conceptual framework and formulated a hypothesis for this research. Data were obtained through a questionnaire, given to 98 students majoring in landscape architecture at Hankyong University in 2007. Results showed that the primary variables for tree health were soil compaction and the depth of soil filling. They were the most serious factors that deteriorate the health of trees. Based on the relationship between tree health and growing conditions, trees inside the school forest should be managed to provide more growing space and less abuse. The minimum area for trees inside the school forest for good growth conditions should be within the drip lines. We have found that the minimum percentage of tree content is 0.13, which means that more than 130 trees need to be planted over $1,000m^2$ green space. More than 3,580 shrubs need to be planted over $1,000m^2$ green space. The pavement area should be controlled to less than 19% of the total size of the school forest area. Finally, more than 39 trees out of 100 trees planted should be evergreen. The research results suggest that the construction planning index of Gyeonggido school forest be recommended in the planning and development process of the construction project carried out every year.

• Journal of Korean Society of Archives and Records Management
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• v.8 no.2
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• pp.39-60
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• 2008

This paper deals with the four aspects of the acquisition, construction and common use of modern and post-modern document DB in the NAK, NIKH, and AKS. First, The concept of Korean regional history includes provincial history, local history and regional history and as far as modern and post-modern history is concerned, the concept of regional history is on expansion. Second, National Archives of Korea has been systematically collecting and managing modern and post-modern regional history records in compliance to Public Institutes Records Management Law, enacted in 1999 and currently is in charge of handling public records of 373 central government administration offices, 514 regional government offices, Office of Education, universities and of other public agencies. National Institute of Korean History is working on a ten year project from 2004 to collect the scattered modern and post-modern regional history records and to classify them regionally and thematically. The Academy of Korean Studies has been collecting modern and post-modern regional history records and collection was initiated by Modern History Research. Those records that are collected from 1997 and 2005 are mainly from the liberation period. Third, characteristics of Central Archives Management System and Nara Records Portal System of NAK, Korean History Database System of NIKH and of The AKS' Korean Provincial Culture Electronic Encyclopedia are elaborated. Fourth, establishing 'Modern and Post-modern Regional History Records Council' as an affiliated organization of National Archives Management Committee is recommended, NAK leading the council and promoting further cooperation. In this section, an emphasis on allotted tasks of three institutes in order to achieve technology development for digitalized resource sharing, to improve on contents and to promote public and international use is placed as well.