• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.337-347
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• 2018

The government has been operating residential improvement projects through the "Act on the Maintenance and Improvement of Urban Areas and Dwelling Conditions for Residents" as a type of a remedial measure for deteriorated residential areas. However, in recent years, the residential improvement projects have experienced difficulties due to the effects of various factors including the slowdown in economic growth. After observing the depression in a number of projects, various studies have been carried out to investigate the causality and improve the promotion of the residential improvement projects. In the trend of research, this study aims to analyze the effects of land and building characteristics on the improvement projects of Busan Metropolitan City. The dependent variables of the study represent different phases of improvement project as specified in the "Act on the Maintenance and Improvement of Urban Areas and Dwelling Conditions for Residents". The independent variables represent land and building characteristics which refer to the criteria used in the designation process of maintenance area according to the act. The empirical analysis uses the ordered logit model. The results from the analysis suggest that geographical condition, factors related to the number of union members, factors related to the parcel price and condition of a location have impact on the promotion of the improvement project. The results of the analysis show that majority of the factors are related to the economic feasibility of the projects. Residential improvement project is a part of urban planning projects that rehabilitates deteriorated residential environment, and it is closely associated with the quality of life of public. Accordingly, we hope that such projects are reasonable and take effective approach to those with urgent needs rather than to focus on profitability. Also, potential administrative and economical loss should be avoided by taking necessary planning measures in advance.

• Korean Journal of Agricultural and Forest Meteorology
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• v.13 no.1
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• pp.41-46
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• 2011

Reliable information on the surface solar radiation is indispensable for rebuilding food production system in the famine plagued North Korea. However, transfer of the related modeling technology of South Korea is not possible simply because raw data such as solar radiation or sunshine duration are not available. The objective of this study is restoring solar radiation data at 27 synoptic stations in North Korea by using satellite remote sensing data. We derived relationships between MODIS radiation estimates and the observed solar radiation at 18 locations in South Korea. The relationships were used to adjust the MODIS based radiation data and to restore solar radiation data at those pixels corresponding to the 27 North Korean synoptic stations. Inverse distance weighted averaging of the restored solar radiation data resulted in gridded surfaces of monthly solar radiation for 4 decadal periods (1983-1990, 1991-2000 and 2001-2010), respectively. For a direct application of these products, we produced solar irradiance estimates for each sub-grid cell with a 30 m spacing based on a sun-slope geometry. These products are expected to assist planning of the North Korean agriculture and, if combined with the already prepared South Korean data, can be used for climate change impact assessment across the whole Peninsula.

• Korean Journal of Construction Engineering and Management
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• v.11 no.4
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• pp.100-108
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• 2010

With the rapid economic growth and improvement of living conditions in Korea, rebuilding and redevelopment of existing houses has also been rapidly increasing. As a result, considerable construction and demolition wastes have been produced. Demolition wastes, however, must be given special attention because of the various harmful substances in them. The construction waste has been produced most at demolition phase, but the research into that area has not being to make nearly within the country. The aim of this study was to evaluate and compare the contamination figures of the heavy metals and toxin organic substances in the soil and water caused by flying ashes generated and eventually accumulated in building demolition works. AB a result. most of the pollution levels were not worrisome, but some were increased after the demolition with the water used to prevent the dusty air and in the target buildings. However in the vicinity of the demolition sites with explosives there was no report of study in water and soil pollutions, so to minimize pollutions we need to make plans to select the harmful substance in the first place. Thus, this research is expected to be the important materials for future research into the construction waste area.

• Journal of Cadastre & Land InformatiX
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• v.50 no.1
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• pp.181-200
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• 2020

This study used the OLS model to estimate the determinants affecting the tenure of a home and then compared the predictive power of each model with SVM, Decision Tree, Random Forest, Gradient Boosting, XGBooest and LightGBM. There is a difference from the preceding study in that the Stacking model, one of the ensemble models, can be used as a base model to establish a more predictable model to identify the volume of housing transactions in the housing market. OLS analysis showed that sales profits, housing prices, the number of household members, and the type of residential housing (detached housing, apartments) affected the period of housing ownership, and compared the predictability of the machine learning model with RMSE, the results showed that the machine learning model had higher predictability. Afterwards, the predictive power was compared by applying each machine learning after rebuilding the data with the influencing variables, and the analysis showed the best predictive power of Random Forest. In addition, the most predictable Random Forest, Decision Tree, Gradient Boosting, and XGBooost models were applied as individual models, and the Stacking model was constructed using Linear, Ridge, and Lasso models as meta models. As a result of the analysis, the RMSE value in the Ridge model was the lowest at 0.5181, thus building the highest predictive model.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.2
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• pp.109-115
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• 2014

The aim of the study is to present a method to build an octree and to query from it for huge 3D point clouds of which volumes correspond or surpass the main memory, based on the memory-efficient octree developed by Han(2013). To the end, the method directly refers to 3D point cloud stored in a file on a hard disk drive instead of referring to that duplicated in the main memory. In addition, the method can save time to rebuild octree by storing and restoring it from a file. The memory-referring method and the present file-referring one are analyzed using a dataset composed of 18 million points surveyed in a tunnel. In results, the memory-referring method enormously exceeded the speed of the file-referring one when generating octree and querying points. Meanwhile, it is remarkable that a still bigger dataset composed of over 300 million points could be queried by the file-referring method, which would not be possible by the memory-referring one, though an optimal octree destination level could not be reached. Furthermore, the octree rebuilding method proved itself to be very efficient by diminishing the restoration time to about 3% of the generation time.

• The KIPS Transactions:PartB
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• v.12B no.4 s.100
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• pp.487-498
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• 2005

Recently, It has focused on decision tree algorithm that can handle large dataset. However, because most of these algorithms for large datasets process data in a batch mode, if new data is added, they have to rebuild the tree from scratch. h more efficient approach to reducing the cost problem of rebuilding is an approach that builds a tree incrementally. Representative algorithms for incremental tree construction methods are BOAT and ITI and most of these algorithms use a local discretization method to handle the numeric data type. However, because a discretization requires sorted numeric data in situation of processing large data sets, a global discretization method that sorts all data only once is more suitable than a local discretization method that sorts in every node. This paper proposes an incremental tree construction method that efficiently rebuilds a tree using a global discretization method to handle the numeric data type. When new data is added, new categories influenced by the data should be recreated, and then the tree structure should be changed in accordance with category changes. This paper proposes a method that extracts sample points and performs discretiration from these sample points to recreate categories efficiently and uses confidence intervals and a tree restructuring method to adjust tree structure to category changes. In this study, an experiment using people database was made to compare the proposed method with the existing one that uses a local discretization.

• Journal of the Korean association of regional geographers
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• v.22 no.2
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• pp.383-396
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• 2016

The most direct influence on the development of Yoseba Kotobuki was the end of World War II. As city rebuilding projects began vibrantly overlapping, the vitalization in Kotobuki was adopted by the laborers coming in from various parts throughout of the country. Just as the period of economic revival from the special demand created by the Korean War got underway, the aftermath of the worldwide economic recession due to the oil crisis had a direct effect on even the labor market. Moreover, as the vitality of the labor market gradually fizzled out from the long-term economic recession caused by the burst of the economic bubble, the labor base that had once been the pillar of the Japanese economy began to age and could no longer perform this role. As these aging laborers came to receive public assistance, the doya managers began repairing the doya and Kotobuki began to change again. The historical times which affected the changes in Yoseba Kotobuki's locality are in the lives of its members--the laborers--and the times themselves, which operate on the micro level; however, in those times, the national and the global time of the nation-state interact and are linked in multiple layers.

• Journal of Navigation and Port Research
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• v.44 no.3
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• pp.264-274
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• 2020

The Ro-Ro ferry ship capsized and sank to the bottom of the sea because of the rapid turning for several reasons, such as lack of stability due to the center of gravity rise from the extension and rebuilding of the stern cabin, excessive cargo loading, and shortage ballast, poor lashing, etc. The purpose of this study was to investigate and analyze the cause of the ship's rapid flooding, capsizing, and sinking accident according to rapid turning scientifically and accurately using the Fluid-Structure Interaction( FSI) analysis technique. Several tests were conducted for this cause investigation of the flooding and sinking accident correctly and objectively, such as the realization of the accurate ship posture tracks according to the accident time using several accident movies and photos, the validation of cargo moving track, and sea water inflow amount through the exterior openings and interior paths compared with the ship's posture according to the accident time using the floating simulation and hydrostatic characteristics program calculation, and the performance of a full-scale ship flooding·sinking simulation.

• Journal of KIISE:Databases
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• v.37 no.4
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• pp.177-184
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• 2010

In these day, many data including sensor, delivery, credit and stock data are generated continuously in massive quantity. It is difficult to learn from these data because they are large in volume and changing fast in their concepts. To handle these problems, learning methods based in sliding window methods over time have been used. But these approaches have a problem of rebuilding models every time new data arrive, which requires a lot of time and cost. Therefore we need very simple incremental learning methods. Bayesian method is an example of these methods but it has a disadvantage which it requries the prior knowledge(probabiltiy) of data. In this study, we propose a learning method based on attribute values. In the proposed method, even though we don't know the prior knowledge(probability) of data, we can apply our new method to data. The main concept of this method is that each attribute value is regarded as an expert learner, summing up the expert learners lead to better results. Experimental results show our learning method learns from data very fast and performs well when compared to current learning methods(decision tree and bayesian).

• Journal of Korean Theatre Studies Association
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• no.40
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• pp.125-162
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• 2010

This is the study on the 'Theater State' in the Daehan Empire of the Emperor Gochung in the late 1900 with the theatrical concepts of cultural performance theory which has been useful for investigating historical, social, and cultural collective memories and their transformation mechanism in the society. The performance theory is based in the notion, '$Performativit{\ddot{a}}t$', by which the performance can contain vary performance forms. $Performativit{\ddot{a}}t$ is the notion which points up the certain process that can cause the perceptional emotion communication to the performers and audiences in the performance. The spectacle of a society is also understood and presupposed by the $Performativit{\ddot{a}}t$. Generally speaking, the spectacle has been used of explaining the visual cultural experiences in society. Fundamentally, spectacle had resulted from the latin 'spectaculum', which was used to designate theatrical representation in France. In the case of movie, spectacle was the grand show with showy technological attractions. The spectacle have been to show the political and socio-historical relationships in a society. But in my study, I want to start the premise that the cultural performance planed by the Emperor Gochung in the Daehan Empire has the attribute of 'theater state', which can awaken the certain collective emotion to connect the Emperor and his people in the Daehan Empire period of the Emperor Gochung of the late 1900. In addition to it, I search for the historical collective memories of the Daehan Empire. The government of the Daehan Empire was continuing with its efforts to enforce and recollect the imperial images and authority of the Emperor and his Empire to get the approval of the people and international society. The effect of spectacle consisting of theater state was the concrete effort to establish the collective memories of the Daehan Empire by remodelling and rebuilding the Seoul, the capital of the Empire and performing the national ceremony such as the korean pagent(Gae-Dung거둥) and parade to set the portrait of the Emperor(A-Jin어진), the geo-body of the Empire.