• Land and Housing Review
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• v.14 no.3
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• pp.77-92
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• 2023

The aim of the study is to analyze urban characteristics that affect carbon emissions of buildings. The analysis was conducted at the level of 424 administrative districts in Seoul. The main variables used in the analysis were energy consumption and carbon emissions of buildings published in the Seoul Metropolitan Government's energy information platform 2021. It was found that carbon emissions per unit building were high in Jongno, Gangnam, Guro, and Mok-dong. A regression analysis using the spatial lag model (SLM) identifies that the variables that affect the carbon emissions of buildings were; commercial, educational, business and industrial facility variables as built environment factor; number of residents; traffic volume, number of bus routes and number of subway stations as transportation facilities factors; and environmental factors such as green area and river area.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.545-555
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• 2020

The purpose of this study is to derive the linkage between urban regeneration and district unit planning, in order to supplement the limitations of the spread of the effects of individual urban regeneration projects. To this end, institutional changes and previous studies with theoretical backgrounds were reviewed, the urban regeneration strategic plan and district unit plan cases in the spatial scope of Jeju Island were analyzed, and a unified administrative procedure to strengthen linkages was proposed. In addition, when selecting priorities for active regions, we reviewed how to use the indicators of involvement of residents, which enabled the project to be performed smoothly by grasping the participation of residents and the elements of complaints. Also a hypothetical target site was set up and suggested how to establish a district unit plan by type. Depending on the circumstances and environment of the site, the use of the land use plan and the regulation and mitigation of the district unit plan may be appropriately used to expect the inhabitants to expand their participation and revitalization. This study suggests ways to revitalize decayed areas beyond systematic urban planning in connection with systematic plans, to improve administrative procedures, and to promote bottom-up projects.

• Geophysics and Geophysical Exploration
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• v.25 no.2
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• pp.59-70
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• 2022

Recent studies demonstrate that machine learning has expanded in the field of seismic interpretation. Many convolutional neural networks have been developed for seismic sequence identification, which is important for seismic interpretation. However, expense and time limitations indicate that there is insufficient data available to provide a sufficient dataset to train supervised machine learning programs to identify seismic sequences. In this study, patch division and data augmentation are applied to mitigate this lack of data. Furthermore, to obtain spatial information that could be lost during patch division, an artificial channel is added to the original data to indicate depth. Seismic sequence identification is performed using a U-Net network and the Netherlands F3 block dataset from the dGB Open Seismic Repository, which offers datasets for machine learning, and the predicted results are evaluated. The results show that patch-based U-Net seismic sequence identification is improved by data augmentation and the addition of an artificial channel.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.3
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• pp.1-12
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• 2004

Nowadays, a satellite image is widely utilized in identifying and predicting urban spatial growth. It provides essential informations on horizontal expansion of urbanized areas. However, its usefulness becomes very limited in analyzing density of urban development. On the contrary, zonal data, typically census data, provides various density information such as population, number of houses, floor information within a given zone. The problem of the zonal data in analyzing urban growth is that the size of the zone is too big. The minimum administration unit, Dong, is too big to match the satellite images. This study tries to derive synergy effects by matching the merits of the two information sources-- image data and zonal data. For this purpose, basic statistical unit (census block size) is utilized as a zonal unit. By comparing the image and zonal data of 1985 and 2000 of Daegu metropolitan area, this study concludes that urban growth pattern is better explained when the two types of data are properly used.

• Journal of architectural history
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• v.22 no.3
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• pp.7-14
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• 2013

Ikseon-Dong 166 is one of the traditional urban resident area developed during 1930's. The purpose of this research is to analyze the structural relationship between a conventional housing unit plans and modern block plans based on orthogonal geometry. To fully explore the selling point of the new urban development, the planner or real estate developer in private sector did not abandon or compromise the conventional house layouts, consists of single layer of rooms keeping the main room facing south. This study concludes the following factors connecting the urban and architectural plans. Oblong block plans following east-west direction did not allow the southern exposure of courtyard and main room, which was the absolute requirement for traditional house units, the longer side of block plan followed north-south direction as a result. Considering the possibility of rent, having entrance at the east or west side of individual site enables two separate household maintain their spatial privacy. In addition to the factors mentioned above, when the blocks are to be divided into individual addresses, north-south oblong block plans maintained the length to face the front road minimum while the southern exposure maximized. These factors explains why the private developers maintained their blocks elongated to north-south direction when the block plans laied out by public sectors which did not care that much of southern exposure show random orientation in the view point of solar exposure.

• International Journal of Precision Engineering and Manufacturing
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• v.6 no.1
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• pp.51-58
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• 2005

The development of the high-efficiency machine-tools equipment and new cutting tool materials with high hardness, heat- and wear-resistance has opened the way to application of high-speed cutting process. The basic argument of using of high-speed cutting processes is the reduction of time and the respective increase of machining productivity. In this sense, the spindle units may be regarded as one of the most important units, directly affecting many parameters of high-speed machining efficiency. One of the possible types of spindle units for high-speed cutting is the air-bearing type. In this paper, we propose the mathematical model of the dynamic behavior of the air-bearing spindle. To provide the high-level of speed capacity and spindle rotation accuracy we need the adequate model of "spindle-bearings" system. This model should consider characteristics of the interactions between system components and environment. To find the working characteristics of spindle unit we should derive the equations of spindle axis movement under the affecting factors, and solve these equations together with equations which describe the behavior of lubricant layer in bearing (bearing stiffness equations). In this paper, the three influence coefficients are introduced, which describe the center of spindle mass displacement, angle of shaft rotation around the axes under the unit force application and that under the unit torque application. These coefficients are operated in the system of differential equations, which describes the spindle axis spatial movement. This system is solved by Runge-Kutta method. Obtained trajectories and amplitude-frequency characteristics were then compared to experimental ones. The analysis shows good agreement between theoretical and experimental results, which confirms that the proposed model of air-bearing spindle is correctis correct

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.2 s.36
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• pp.15-22
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• 2006

Runoff Characteristics has been Analysis Using geomorphologic Instantaneous Unit Hydrograph(GIUH) and geomorphoclimatic unit hydrograph(GCUH) on an ungaged vary small basin about $5km^2$ scale in Kyungbuk gampo area. First, we estimated hydrology Factor using Geographic Information System(GIS) tool and then, calculated the characteristic velocity using the real rainfall-runoff data. It is compared with several velocities derived from GCUH theory and several other concentration time formulae. Kerby and Braby-Williams seems to be more applicable as characteristic velocity formula. Second, We compared the GCUH peak discharge with the probable flood, also compared the unit hydrograph as like the Clark, the Nakayasu and the S.C.S and GCUH with the observed discharge using the real rainfall events. The comparison results showed that GCUH could be applicable on an ungaged vary small basin. We expected that the result can be used as for estimation of a flash flood standard rainfall as well as emergency management plan.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.3
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• pp.127-136
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• 2011

The typical unit infrastructure cost estimation techniques adopted so far in implementing the Korean Impact Fee Zoning have rather been centered around the unilateral simple cost models. The techniques, as such, have frequently been criticized for their lack of flexibility in properly reflecting the regional differences as well as the peculiarities of individual development projects. The Ministry of Land, Transport, and Maritime Affairs (MLTM), in this regard, has recently introduced an enhanced alternative technique. Using the NGIS data, the study probes the viability of the MLTM's new technique by testing the entire estimation process based on the case area in Ansung City. Reflecting the City's characteristics, the study assumes a composite land use plan that accommodates the industrial area in addition to typical residential areas. As an extensive empirical case study, the research has found from the new technique considerable technical merits to overcome the existing shortcomings and summarized its significant policy implications.

• Nuclear Engineering and Technology
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• v.14 no.2
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• pp.51-63
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• 1982

Stability of a PWR core against xenon-induced axial power oscillation is studied using one-dimensional xenon trausient analysis code, DD1D, that has been developed and verified at KAERI. Analyzed by DD1D utilizing the Kori Unit 1 design and operating data is the sensitivity of axial stability in a PWR core to the changes in core physical parameters including core power level, moderator temperature coefficient, core inlet temperature, doppler power coefficient and core average turnup. Through the sensitivity study the Kori Unit 1 core is found to be stable against axial xenon oscillation at the beginning of cycle 1. But, it becomes less stable as turnup progresses, and unstable at the end of the cycle. Such a decrease in stability is mainly due to combined effect of changes in axial power distribution, moderator temperature coefficient and doppler power coefficient as core turnup progresses. It is concluded from the stability analysis of the Kori Unit 1 core that design of a large PWR with high power density and increased dimension can not avoid xenon-induced axial power instabilities to some extents, especially at the end of cycle.

• Journal of Korean Society of Rural Planning
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• v.28 no.2
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• pp.87-96
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• 2022

As part of strengthening energy security and responding to climate change, the government has promoted various renewable energy measures to increase the development of renewable energy facilities. As a result, small-scale solar installations in rural areas have increased rapidly. The number of complaints from local residents is increasing. Therefore, in this study, deep learning technology is applied to high-resolution aerial images on the internet to detect solar power plants installed in rural areas to determine whether or not solar power plants are installed. Specifically, I examined the solar facility detector generated by training the YOLO(You Only Look Once) v2 object detector and looked at its usability. As a result, about 800 pieces of training data showed a high object detection rate of 93%. By constructing such an object detection model, it is expected that it can be utilized for land use monitoring in rural areas, and it can be utilized as a spatial data construction plan for rural areas using technology for detecting small-scale agricultural facilities.