• Journal of the Korean housing association
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• v.21 no.4
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• pp.1-9
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• 2010

Since the active enhancement of large-scale apartment development in 1970, apartment complexes in Korea have shown considerable changes throughout, with respect to its planning and design. Depending on the government legislations, and economical and social issues of its time, apartments have been designed to respond to varying demands of the society; from minimal unit design to overall masterplan. As existing researches regarding development of apartment planning are conducted in individual and distinct manner, not only is it difficult to find cases of an overall critical analysis of apartment complexes, it is also rare to look for research that deals with a greater urban context, nor the geographical location of the site. With specific focus on apartments in the metropolitan, the focus of this research lies in critically analyzing the qualities of outdoor spaces within an apartment complex, its generational change and interpreting the value it holds for the society. With regards to analyzing its outdoor features, the core of this study deals with applying space syntax, based on the configurational properties of spatial constituents. The results of this research have some implications that the accessibility change of apartment outdoor spaces was examined through quantitative analysis, and the changes of it by time were clarified in detail. And objective and quantitative approaches were employed for an alternative to the methods used in existing related researches.

• Korean Journal of Plant Taxonomy
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• v.45 no.2
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• pp.158-168
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• 2015

A study of the genus Pilea in Korea including five taxa was carried out using molecular phylogenetic methods. The majority of members of the genus Pilea in Korea are annual herbs, and they live in moist habitats, flowering in summer and fruiting in autumn. The results of a phylogenetic analysis using nrDNA and cpDNA supported the recognition of P. japonica, P. peploides, and P. taquetii. Pilea taquetii from Mt. Sanbangsan in Jeju was nested within P. hamaoi and P. mongolica clade instead of the P. taquetii clade, with P. taquetii from Mt. Jirisan also separated from the P. taquetii clade. This indicates that the separation is not geographical isolation, but is instead related to taxonomic problems. Therefore, further study of the P. taquetii group is necessary.

• Nuclear Engineering and Technology
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• v.49 no.4
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• pp.710-720
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• 2017

In Korea, many nuclear power plants operate at a single site based on geographical characteristics, but the population density near the sites is higher than that in other countries. Thus, multiunit accidents are a more important consideration than in other countries and should be addressed appropriately. Currently, there are many issues related to a multiunit probabilistic safety assessment (PSA). One of them is the quantification of a multiunit PSA model. A traditional PSA uses a Boolean manipulation of the fault tree in terms of the minimal cut set. However, such methods have some limitations when rare event approximations cannot be used effectively or a very small truncation limit should be applied to identify accident sequence combinations for a multiunit site. In particular, it is well known that seismic risk in terms of core damage frequency can be overestimated because there are many events that have a high failure probability. In this study, we propose a quantification method based on a Monte Carlo approach for a multiunit PSA model. This method can consider all possible accident sequence combinations in a multiunit site and calculate a more exact value for events that have a high failure probability. An example model for six identical units at a site was also developed and quantified to confirm the applicability of the proposed method.

• Geophysics and Geophysical Exploration
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• v.17 no.2
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• pp.88-94
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• 2014

Due to mechanical failure or geographical accessibility, the seismic data can be partially missed. In addition, it can be coarsely sampled such as crossline of the marine streamer data. This seismic data that irregular sampled and spatial aliased may cause problems during seismic data processing. Accurate and efficient interpolation method can solve this problem. Futhermore, interpolation can save the acquisition cost and time by reducing the number of shots and receivers. Among various interpolation methods, the Matching Pursuit method can be applied to any sampling type which is regular or irregular. However, in case of using sinusoidal basis function, this method has a limitation in spatial aliasing. Therefore, in this study, we have developed wavelet based Matching Pursuit method that uses wavelet instead of sinusoidal function for the improvement of dealiasing performance. In addition, we have improved interpolation speed by using inner product instead of L-2 norm.

• Korean Journal of Medicinal Crop Science
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• v.24 no.2
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• pp.93-100
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• 2016

Background: A set of logical criteria that can accurately identify and verify the cultivation region of raw materials is a critical tool for the scientific management of traditional herbal medicine. Methods and Results: Volatile compounds were obtained from 19 and 32 samples of Angelica gigas Nakai cultivated in Korea and China, respectively, by using steam distillation extraction. The metabolites were identified using GC/MS by querying against the NIST reference library. Data binning was performed to normalize the number of variables used in statistical analysis. Multivariate statistical analyses, such as Principal Component Analysis (PCA), Partial Least Squares-Discriminant Analysis (PLS-DA), and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA) were performed using the SIMCA-P software. Significant variables with a Variable Importance in the Projection (VIP) score higher than 1.0 as obtained through OPLS-DA and those that resulted in p-values less than 0.05 through one-way ANOVA were selected to verify the marker compounds. Among the 19 variables extracted, styrene, ${\alpha}$-pinene, and ${\beta}$-terpinene were selected as markers to indicate the origin of A. gigas. Conclusions: The statistical model developed was suitable for determination of the geographical origin of A. gigas. The cultivation regions of six Korean and eight Chinese A. gigas. samples were predicted using the established OPLS-DA model and it was confirmed that 13 of the 14 samples were accurately classified.

• Journal of the Korean association of regional geographers
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• v.19 no.1
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• pp.162-180
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• 2013

This paper is to explore the relationship between global citizenship education needed to be taught recently and geography. First, the paper examines the concept, as well as the reason why it became important concept in dimension of education in terms of progress of globalization. Second, the paper examines justification of global citizenship education through geography subject through discussion of place, space, scale and interdependence as geographical key concepts. Then, it establishes the category of sub-area of global citizenship education to grasp structurally. This is to reestablish in terms of knowledge and understanding, skill, value and attitude through the inductive examination of existing system of classification. Third, for geography instruction as practical dimension for fostering global citizenship, the paper discusses things to consider previously to design it in terms of aims, contents and methods, and examined instruction strategies in terms of issues-based approach and geographies of resistance. The last, the paper should things to pay attention to be cautious in global citizenship education through geography.

• Smart Media Journal
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• v.5 no.2
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• pp.42-50
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• 2016

In case of a emergency situation or a natural disaster, a warning notification system is an essential tool to notify at-risk people in advance and provide them useful information to survive the event. Although some systems have been proposed such as emergency alert system using android, SMS, or P2P overlay network, these works mainly focus on a reliable message distribution methods. In this paper, we proposed a novel design and implementation of a personalized warning notification system to help inform not only the at-risk people but also their family and friends about the coming disaster as well as escape plan and survival information. The system consists of three main modules: the user selection module, the knowledge based message generator, and message distribution modules. The user selection module collects the list of people involved in the event and sorts them based on their level of involvement (their location, working position and social relationships). The knowledge based message generator provides each person with a personalized message that is concise and contains only the necessary information for the particular person based on their working position and their involvement in the event. The message distribution module will then find a best path for sending the personalized messages based on trustiness of locations since network failures may exist in a disaster event. Additionally, the system also have a comprehensive database and an interactive web interface for both user and system administrator. For evaluation, the system was implemented and demonstrated successfully with a building on fire scenario.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.5
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• pp.553-563
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• 1999

The Spatial Database Engine(SDETM) developed by Environmental Systems Research Institute, Inc. is a spatial database that employs a client-server architecture incorporated with a set of software services to perform efficient spatial operations and to manage large, shared and geographic data sets. It currently supports a wide variety of spatial search methods and spatial relationships determined dynamically. Spatial objects in the space world can be changed by either non-spatial operations or spatial operations. Conventional geographical information systems(GISs) did not manage their historical information, however, because they handle the snapshot images of spatial objects in the world. In this paper we propose a spatio-temporal data model and an algorithm for temporal relationship macro which is able to manage and retrieve the historical information of spatial objects. The proposed spatio-temporal data model and its operations can be used as a software tool for history management of time-varying objects in database without any change.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.413-421
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• 2010

In this study, we considered bivariate conditional auto-regressive model taking into account spatial association as well as correlation between the two dependent variables, which are the counts of murder and burglary. We conducted likelihood ratio test for checking over-dispersion issues prior to applying spatial poisson models. For the real application, we used the annual counts of violent crimes at 25 districts of Seoul in 2007. The statistical results are visually illustrated by geographical information system.

• Korean Journal of Medicinal Crop Science
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• v.4 no.1
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• pp.27-30
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• 1996

This study was conducted to obtain basic information on growth characteristics and major components of three Korean endemic resource plant species, Artemisia sp., Gynostemma pentaphyllum Makino and Humulus japonicus S. et Z. , growing in different areas in Korea. Three geographical types of artemisia, namely Pangssuk, Ongjinssuk and Yakssuk which were collect in Suwon, Ongjin and Eumsong, respectively were compared in yield, and Pangssuk artemisia was higher in yield than the others. However, essential oil content was the highest in Yakssuk artemisia. Dry weight of areal parts of G. pentaphyllum was higher in the cultural method with props for tendril growth than in the conventional cultural method without props. Rutin was detected in areal parts of G. pentaphyllum. Dry weight of areal parts of H. japonicus collected at the Kyeryong mountain in Chungnam province was higher than that collected in Eumsong. A phenolic compound isoquercitrin was detected in areal parts of H. japonicus.