• Journal of Digital Convergence
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• v.14 no.11
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• pp.135-142
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• 2016

Although growth potential of trade between Korea and the GCC region has existed in various fields through economic and business cooperation, few data and practical study related with trade structure and cooperation between Korea and GCC region have been found and the potential for further economic expansion has not been extensively explored. In this sense, this study is to analyze trade flows between Korea and GCC region countries(Saudi Arabia, Unites Arab Emirates, Qatar) using trade intensity index, trade complementarity index and special country bias index, identify potential for further expansion of Korea's trade into the GCC region and further propose the implication of FTA between mutual countries. Our analysis of trade flows also demonstrates that there is a high level of trade complementarity between Korea and GCC region. It means that increase of trade complementarity and special country bias come from removing not only trade barrier and increasing but also capital movement. Especially, the study reveals that there is an untapped potential for Korea to increase its exports to Saudi, based on the highest complementarities. Export expansion between Korea and Saudi through FTA will create new opportunity in near future.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.3
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• pp.76-88
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• 2015

This paper presents a classification method based on the combination of active learning with temporal contextual information extracted from past land-cover maps for the classification of crop cultivation areas. Iterative classification based on active learning is designed to extract reliable training data and cultivation rules from past land-cover maps are quantified as temporal contextual information to be used for not only assignment of training data but also relaxation of spectral ambiguity. To evaluate the applicability of the classification method proposed in this paper, a case study with MODIS time-series vegetation index data sets and past cropland data layers(CDLs) is carried out for the classification of corn and soybean in Illinois state, USA. Iterative classification based on active learning could reduce misclassification both between corn and soybean and between other crops and non crops. The combination of temporal contextual information also reduced the over-estimation results in major crops and led to the best classification accuracy. Thus, these case study results confirm that the proposed classification method can be effectively applied for crop cultivation areas where it is not easy to collect the sufficient number of reliable training data.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.7
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• pp.377-392
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• 2005

A lot of studies to measure and analyze the system performance have been done in areas such as system modeling, performance measurement, monitoring, and performance prediction since the advent of a computer system. Studies on a framework to unify the performance related areas have rarely been performed although many studies in the various areas have been done, however. In the case of TMO(Time-Triggered Message-Triggered Object), a real-time programming model, it hardly provides tools and frameworks on the performance except a simple run-time monitor. So it is difficult to analyze the performance of the real-time system and the process based on TMO. Thus, in this paper, we propose a framework for the dynamic analysis of the real-time system based on TMO, TDAF(TMO based Dynamic Analysis Framework). TDAF treats all the processes for the performance measurement and analysis, and Provides developers with more reliable information systematically combining a load model, a performance model, and a reporting model. To support this framework, we propose a load model which is extended by applying TMO model to the conventional one, and we provide the load calculation algorithm to compute the load of TMO objects. Additionally, based on TMO model, we propose performance algorithms which implement the conceptual performance metrics, and we present the reporting model and algorithms which can derive the period and deadline for the real-time processes based on the load and performance value. In last, we perform some experiments to validate the reliability of the load calculation algorithm, and provide the experimental result.

• Journal of Korea Water Resources Association
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• v.54 no.10
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• pp.747-757
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• 2021

Quantification of extreme rainfall is very important in establishing a flood protection plan, and a general measure of extreme rainfall is expressed as an T-year return level. In this study, a method was proposed for quantifying spatial distribution and uncertainty of daily rainfall depths with various return periods using a hierarchical Bayesian model combined with climate and geographical information, and was applied to the Seoul-Incheon-Gyeonggi region. The annual maximum daily rainfall depth of six automated synoptic observing system weather stations of the Korea Meteorological Administration in the study area was fitted to the generalized extreme value distribution. The applicability and reliability of the proposed method were investigated by comparing daily rainfall quantiles for various return levels derived from the at-site frequency analysis and the regional frequency analysis based on the index flood method. The uncertainty of the regional frequency analysis based on the index flood method was found to be the greatest at all stations and all return levels, and it was confirmed that the reliability of the regional frequency analysis based on the hierarchical Bayesian model was the highest. The proposed method can be used to generate the rainfall quantile maps for various return levels in the Seoul-Incheon-Gyeonggi region and other regions with similar spatial sizes.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.4
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• pp.86-93
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• 2008

A low-power, low-noise, highly-linear hybrid balun circuit is proposed for 2.4-GHz fully differential CMOS direct conversion receivers. The hybrid balun is composed of a passive transformer and loss-compensating auxiliary amplifiers. Design issues regarding the optimal signal splitting and coupling between the transformer and compensating amplifiers are discussed. Implemented in $0.18{\mu}m$ CMOS process, the 2.4 GHz hybrid balun achieves 2.8 dB higher gain and 1.9 dB lower noise figure than its passive counterpart and +23 dBm of IIP3 only at a current consumption of 0.67 mA from 1.2 V supply. It is also examined that the hybrid balun can remarkably lower the total noise figure of a 2.4 GHz fully differential RF receiver only at a cost of 0.82 mW additional power dissipation.

• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.137-148
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• 1997

Diagnostic problem solving is a major application area of knowledge-based systems research. However, most of the current approaches, both heuristic and model-based, are designed to identify single faults, and do not generalize easily to multiple fault diagnosis without exhibiting exponential behavior in the amount of computation required. In this paper, we employ a decomposition approach based on system configuration to generate an efficient algorithm for multiple fault diagnosis. The basic idea of the algorithm is to reduce the inherent combinatorial explosion that occurs in generating multiple faults by partitioning the circuit into groups that correspond to output measurement points. Rules are multiple faults by partitioning the circuit into groups that correspond to output measurement points. rules are developed for combining candidates from individual groups, and forming consistent sets of minimal candidates.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.778-781
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• 2003

투어멀린(Tourmaline)은 비대칭 쌍극자를 가진 유극성 결정체로 광물 중에서 영구적으로 전기분극의 특성을 띄고 있는 유일한 물질로써 일명 "전기석"이라고 알려져 있고, 자체의 미약전류(약 0,06mA)와 함께 음이온 및 원적외선의 발생으로 최근 들어 우리 주변에서 건강과 환경을 위한 관심고조의 대상인 육방정계의 압전성 및 초전성을 띄는 붕규산염(주요성분: Mg, Fe, B, Si, Ca)으로, 원석(면역지수 ~1000)에 비해 수백 배의 효력이 있는 투어말린 세라믹(면역지수 ~418,000)을 비롯하여 이것을 이용한 새로운 아이디어 신상품들이 계속 개발되고 있다. 뿐만 아니라, 물분자를 만나면 수소(H$^{+}$)와 수산기(OH$^{-}$)로 전기분해하여 친수기와 소수기 부분으로 구분하며, H$^{+}$와 OH$^{-}$는 각각 $H_2O$와 결합하여 활성이 강한 hydronium ion(H$_3$O$^{+}$ 과 계면활성 작용이 있는 hydroxyl ion(H$_3$O$_2$$^{-}$)을 생성하며, 물속에서 계속 불안정한 상태로 존재하는 수산기는 hydroxyl (-)ion을 형성하여 약 알카리성(pH~7.4)을 띄고 물의 클러스터 세분화와 미네랄을 공급해 줌으로 체내에 들어오면 살균, 항균능력이 있는 면역기능을 갖게 되며, 혈액을 정화하고 자율신경을 자극하여 교감신경의 흥분을 억제한. 이와 함께 전기분극을 띈 투어멀린 입자는 다른 물질에 비하여 경이적 수치의 원적외선을 발생하여 강력한 열 효과와 높은 침투력으로 인체의 혈액순환 촉진과 혈전용해 작용으로 건강과 활력에 도움을 주는 것으로 확인되어 많은 관심을 끌고 있다. 따라서 유익한 이용가치를 인정받고 있는 투어멀린을 유용한 타 물질과 혼합물을 구성하여 성형 또는 EPD 전착하여 소결한 뒤, 소결체의 특성을 분석하여 그 응용성을 개발, 확보하였다.

• Proceedings of the Materials Research Society of Korea Conference
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• 2011.05a
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• pp.48.2-48.2
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• 2011

열전재료는 열과 전기에너지의 상호 변환이 가능한 재료로 이를 이용한 응용제품의 개발이 크게 주목을 받고 있으며, 특히 $Bi_2Te_3$계 합금의 경우 상온에서 가장 우수한 성능지수를 가지는 재료로 많은 연구가 진행되고 있다. 그러나 기존의 $Bi_2Te_3$계 합금은 일방향응고법으로 제조되어 많은 시간과 비용을 필요로 하고, 특히 C축의 Van der Waals 결합으로 인해 기계적 강도가 약하다는 단점이 있었다. 최근 분말야금법을 이용하여 기계적강도를 높이고, 격자산란에 의한 열전도도의 감소로 성능지수를 높일수 있는 방법들이 제시되고 있다. 본 연구에서는 급속응고공정인 가스분무법을 이용하여 n-type의 $95%Bi_2Te_3-5%Bi_2Se_3$분말을 제조하였고, 이 재료의 경우 성형조건에 따라 조직이 쉽게 변하기 때문에 이를 제어하기 위해 단시간동안 고압으로 성형가능한 자기펄스압축성형법(Magnetic Pulsed Compaction)을 이용하여 성형체를 제조하였다. 제조된 성형체는 밀도를 증가시키고 결정립성장을 억제시킬수 있는 방전플라즈마소결법(Spark Plasma Sintering)을 이용하여 소결체로 제조되었으며, 각각의 공정이 열전성능에 미치는 영향을 고찰하였다. OM (Optical Microscope) 및 SEM (Scaning Electric Microscope)을 이용하여 미세구조를 관찰하였고 XRD (X-Ray Diffraction)를 이용하여 상의 변화를 분석하였으며, 상온에서 경도를 측정함으로서 공정조건에 따른 기계적강도를 비교하였다. Seebeck계수는 시편의 양단에 온도차를 주어 발생하는 기전압을 측정하여 계산하였고, 전기비저항은 4point probe방법으로 측정하였다. 전하이동도 및 전하농도는 Hall측정으로부터 구하였고 열전도도를 측정하여 종합적인 열전성능을 평가하였다.

• Spatial Information Research
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• v.14 no.4 s.39
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• pp.391-401
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• 2006

We propose a method for geographically enhanced representation of social networks and implement a Web-based 3D visualization of geographical contexts in social networks. A renovated social network graph is illustrated by using two key components: (i) GWCMs (geographically weighted centrality measures) that reflect the differences in interaction intensity and spatial proximity among nodes and (ii) MSNG (map-integrated social network graph) that incorporates the GWCMs and the geographically referenced arrangement of nodes on a choroplethic map. For the integrated 3D visualization of the renovated social network graph, we employ X3D (Extensible 3D), a standard 3D authoring tool for the Web. An experimental case study of regional R&D collaboration provides a visual clue to geographical contexts in social networks including how the social centralization relates to spatial centralization.

• Clean Technology
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• v.4 no.2
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• pp.32-40
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• 1998

The polymeric porous materials which consist of polypropylene(PP) and polyethylene(PE) powder were prepared to apply to the air purification systems by extrusion sintering method. SEM analysis showed that a composite polymeric porous structure made up of PP and PE was obtained, where PE was melted and adhered to PP because the melting temperature of PE was lower than that of PP. The filtration characteristics and mechanical properties of polymeric porous materials were investigated by varying the head die temperature of the extruder, extrusion velocity, and the melt index and quantity of PE. The filtration efficiency was proportional to the quantity of PE but inversely proportional to the melt index of PE. The polymeric porous materials composed of PP and PE, which was made by extrusion sintering method, was found to be suitable for the filter element of the air purification system.