• The Transactions of the Korea Information Processing Society
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• v.6 no.4
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• pp.901-915
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• 1999

Parallel computers are known to be excellent in performance per cost also satisfying scalability and high performance. However parallel machines have enjoyed limited success because of difficulty in parallel programming and non-portability between parallel machines. Recently, researchers have sought to develop data parallel language that provides machine independent programming systems. Data parallel language such as High Performance Fortran provides a basis to write a parallel program based on a global name space by partitioning data and computation, generating message-passing function. In this paper, we describe the Parallel Programming Translator(PPTran), source-to-source data parallel compiler, generating MPI SPMD parallel program from HPF input program through four phases such as data dependence analysis, partitioning data, partitioning computation, and code generation with explicit message-passing and verify the performance of PPTran

• Journal of the Korean association of regional geographers
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• v.20 no.1
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• pp.30-48
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• 2014

Relying on the interaction indices - dominance index, relative strength index and entropy index, this paper analyzes the structural features of urban network in the Seoul metropolitan area with the flows of commuting, business, and freight. Analytical results show that the Seoul metropolitan urban system is vertical, size-dependent, one-way, and the highest city-dominant network rather than horizontal, size-neutral, two-way, complementary one. The network of freight flow is a little bit more symmetrical than the networks of commuting and business. However, the interaction with Seoul is still determinant in all aspects of hierarchical structure, relative strength, and symmetry of flow.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.209-215
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• 2017

Character of emoticon is considered suitable for expressivity in the digital era mixing and using contents of conversation with images in the course of having a talk with the other party in the mobile space. For the foregoing, this study carried out multiple regression analysis having factors of character attribute such as awareness, friendliness, self-expressivity and image differentiation as independent variables, and purchase intention of purchasers as a dependent variable. Analysis results show that awareness and image differentiation had a positive influence on the purchase intention, whereas friendliness and self-expressivity exerted no significant influence on the purchase intention.

• Journal of the Korean Data and Information Science Society
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• v.25 no.4
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• pp.807-817
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• 2014

This paper considers multivariate time series modelling of PM10 data in Korea collected from 2008 to 2011. We consider both temporal and spatial dependencies of PM10 by applying the sparse vector autoregressive (sVAR) modelling proposed by Davis et al. (2013). It utilizes the partial spectral coherence to measure cross correlation between different regions, in turn provides the sparsity in the model while balancing the parsimony of model and the goodness of fit. It is also shown that sVAR performs better than usual vector autoregressive model (VAR) in forecasting.

• Science of Emotion and Sensibility
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• v.19 no.3
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• pp.71-80
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• 2016

The purpose of this study was to examine the effects of display on time on tasks and virtual presence in the immersive virtual reality. Head mounted display (HMD) and monitor conditions were compared when the participants were asked to complete navigation tasks in a virtual classroom. Time on tasks and virtual presence were measured. Three factors of the virtual presence were applied as dependent variables such as 1) spatial presence, 2) involvement, and 3) realness. The results showed that HMD condition took longer time to finish tasks than monitor conditions. HMD condition showed significantly higher perception from all of the virtual presence factors. Interestingly, there was a significant interaction effect between the display conditions and presence factors. The relationship between display types and virtual presence factors were discussed for future study.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.236-248
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• 2019

Green belts can help to set boundary for city growth, provide ecological protection system and enhance the resilience of Beijing. During the implementation period of the current overall city planning of Beijing, the proportion of green space varies much among the sub-districts, villages and towns involved in the two green belts in the research. With this as starting point, by researching the correlations of 'city system factors' and 'planning policy factors' with the change in the scale of green space, the paper discussed the influential factors of implementing the planning of green space of Beijing, and conducted quantitative research, with such possible influential factors classified into 'city system factors' and 'planning policy factors'. Through multiple linear regression model, the paper tested the correlations of city system factors and planning policy factors (independent variable) with the increment in the construction land in green belts (dependent variable). Through influence to population aggregation and the expansion force of construction land, city system factors such as mountain land and water, house rent of unit area, accessibility of public transport and the newly-defined state-owned construction land generate correlation with the change in the scale of construction land in green belts.

• Land and Housing Review
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• v.12 no.4
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• pp.1-13
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• 2021

This study investigates the effectiveness of Jeju's public Wi-Fi policy for which the key factors of public Wi-Fi use and location characteristics are analyzed. Spatial regression analysis was conducted within a 100 m radius of public Wi-Fi access points. In the analysis, the dependent variable was public Wi-Fi usage time while independent variables included demographic factors, location factors, and other factors. The findings reveal that demographic factors such as the number of residents, the number of workers, and the number of visitors had a close correlation with the use of public Wi-Fi. In addition, the number of bus stops and land prices of each parcel, land use mix, and AP installation period had a positive correlation with the use of public Wi-Fi. On the contrary, the number of buildings by use, the total floor area of buildings, and the number of tourist attractions had negative correlations with public Wi-Fi usage time. These findings provide policy implications that more active publicity on Jeju's public Wi-Fi is needed and the convenience for access needs to be improved.

• The Journal of Society for e-Business Studies
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• v.8 no.4
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• pp.69-88
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• 2003

In high dimensional data, most of clustering algorithms tend to degrade the performance rapidly because of nature of sparsity and amount of noise. Recently, partial dimensional clustering algorithms have been studied, which have good performance in clustering. These algorithms select the dimensional data closely related to clustering but discard the dimensional data which are not directly related to clustering in entire dimensional data. However, the traditional algorithms have some problems. At first, the algorithms employ grid based techniques but the large amount of grids make worse the performance of algorithm in terms of computational time and memory space. Secondly, the algorithms explore dimensions related to clustering using k-medoid but it is very difficult to determine the best quality of k-medoids in large amount of high dimensional data. In this paper, we propose an efficient partial dimensional clustering algorithm which is called CLIP. CLIP explores dense regions for cluster on a certain dimension. Then, the algorithm probes dense regions on a next dimension. dependent on the dense regions of the explored dimension using incremental projection. CLIP repeats these probing work in all dimensions. Clustering by Incremental projection can prune the search space largely and reduce the computational time considerably. We evaluate the performance(efficiency, effectiveness and accuracy, etc.) of the proposed algorithm compared with other algorithms using common synthetic data.

• Journal of the Korean Geographical Society
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• v.30 no.2
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• pp.132-145
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• 1995

The Purpose of this study is to integrate two opposite paradigms, (development from above) and (development from below), by means of A. Giddenss (structuration theory) and to provide practical development strategies on the basis of integrated paradigm. The integration of these two opposite paradigms is in fact the internalization of epistemological overcoming of 'dependency', which means the structural transformation of dualistic thinking into monistic thinking that the enlargement of capitalist world-system can be 'development' and it may also be 'dependency'. Therefore the practical main issue of this integrated paradigm results in how peripheral countries should achieve self-reliant and continuous development under the circumstances of dependency. To achieve such development while resisting the growing arrogance of transnational capital, development strategies should be prepared to maker revitalized political community designed to fit a human scale and for the economy to be subordinated to the political will of the community. And at the same time the 'empowerment' of people should be strengthened.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.196-198
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• 2017

미국, 러시아, 중국 등 선진국에서는 GNSS와 같은 위성항법시스템의 취약성에 대한 대비하기 위한 고정밀도의 지상파 전파항법시스템을 독자적으로 개발하여 운영 중에 있지만, 우리나라는 1979년도에 도입한 외산장비로 포항 및 광주 송신국을 구축하여 Loran-C 체인으로 지상파 전파항법시스템을 운영 중에 있다. 특히 위성항법시스템이 없는 우리나라 입장에서는 어느 위성항법시스템에 종속되지 않는 고정밀도의 지상파 eLoran 전파항법시스템 개발이 더욱 절실히 요구되고 있다. 본 연구 개발에서는 고정밀도의 eLoran 지상파 항법시스템 개발에 앞서 eLoran 송수신 시스템을 검증하고, 실제 공간상의 채널환경을 모사할 수 있는 eLoran emulator를 개발하였다.