• 아태비즈니스연구
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• 제13권3호
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• pp.135-155
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• 2022

Purpose - The purpose of this study is to examine how a broad palette of government support measures and firms' membership in government-developed clusters are related to firms' openness in innovation processes. Design/methodology/approach - Empirically, this study analyzes the Korea Innovation Survey 2018 data on the innovation activities of 1,450 Korean R&D-active manufacturing firms in a three-year period from 2015 through 2017. Findings - The results suggest that firms engage in open innovation to a greater extent--as measured by the breadth of external collaborating partners and of the utilized external sources of knowledge--when they are provided with a broader palette of government support measures and are located in government-developed clusters. However, the effect of diverse government support measures is attenuated for firms located in these clusters. Research implications or Originality - This study contributes to the innovation literature by illuminating how firms' open innovation can be understood in a national innovation system. Moreover, it provides valuable implications for firms seeking to obtain government support and collaborate with others.

• 천문학회보
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• 제41권2호
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• pp.30.2-30.2
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• 2016

M104 (NGC 4594, the Sombrero) is an intriguing disk galaxy classified as an elliptical galaxy nowadays. It hosts a luminous bulge and a massive disk, but it is still mysterious how M104 acquired such peculiar structures. Globular clusters are an useful tracer to investigate the formation history of early-type galaxies. In this study we present a wide field imaging study of the globular clusters in M104. Using wide ($1^{\circ}{\times}1^{\circ}$) and deep ugi images of M104 obtained with the CFHT/MegaCam observations, we detect a large number of globular clusters. The color distribution of these globular clusters shows that there are two subpopulations: a metal-poor system and a metal-rich system. The radial number density of the metal-poor globular clusters shows a long tail reaching R ~ 30' (~ 80 kpc), indicating clearly the existence of a giant metal-poor halo in M104. This result is consistent with the previous studies on the dual halos of massive early-type galaxies. We will discuss implications of these results in relation with the formation history of M104.

• Journal of Information Processing Systems
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• 제14권4호
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• pp.989-1009
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• 2018

Rapid advances in science and technology with exponential development of smart mobile devices, workstations, supercomputers, smart gadgets and network servers has been witnessed over the past few years. The sudden increase in the Internet population and manifold growth in internet speeds has occasioned the generation of an enormous amount of data, now termed 'big data'. Given this scenario, storage of data on local servers or a personal computer is an issue, which can be resolved by utilizing cloud computing. At present, there are several cloud computing service providers available to resolve the big data issues. This paper establishes a framework that builds Hadoop clusters on the new single-board computer (SBC) Mobile Raspberry Pi. Moreover, these clusters offer facilities for storage as well as computing. Besides the fact that the regular data centers require large amounts of energy for operation, they also need cooling equipment and occupy prime real estate. However, this energy consumption scenario and the physical space constraints can be solved by employing a Mobile Raspberry Pi with Hadoop clusters that provides a cost-effective, low-power, high-speed solution along with micro-data center support for big data. Hadoop provides the required modules for the distributed processing of big data by deploying map-reduce programming approaches. In this work, the performance of SBC clusters and a single computer were compared. It can be observed from the experimental data that the SBC clusters exemplify superior performance to a single computer, by around 20%. Furthermore, the cluster processing speed for large volumes of data can be enhanced by escalating the number of SBC nodes. Data storage is accomplished by using a Hadoop Distributed File System (HDFS), which offers more flexibility and greater scalability than a single computer system.

• 아동학회지
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• 제27권3호
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• pp.81-100
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• 2006

This study explored the relationship of behavioral inhibition to narrative representations. Narratives of 96 four-year-old children were recorded and analyzed by the scoring system of Robinson, Holmberg and Klute(in press). Six clusters were found : Constrained(47.9%), Anxious/Restricted(23.9%), Emotional Integrated/Empathic(12.5%), Empathic/Avoidant(6.3%), Dysregulated(5.2%) and Anxious/Avoidant(4.2%) clusters. Behavioral inhibition was determined by observations using "Play with Unfamiliar Peers(Rubin et al., 2002)". Behavioral inhibition differences corresponded to the children's narrative representation clusters; The Anxious/Restricted Cluster was related to more and the Emotional Integrated/Empathic Cluster to less inhibited behavior. In context-specific differences, more inhibited behavior was related to Anxious/Avoidant Clusters during show-and-tess and to Empathic/Avoidant Clusters during card-sorting activities, respectively.

• Genomics & Informatics
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• 제4권4호
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• pp.173-181
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• 2006

Pattern finding is one of the important tasks in a protein or DNA sequence analysis. Alignment is the widely used technique for finding patterns in sequence analysis. BLAST (Basic Local Alignment Search Tool) is one of the most popularly used tools in bio-informatics to explore available DNA or protein sequence databases. BLAST may generate a huge output for a large sequence data that contains various sequence patterns. However, BLAST does not provide a tool to summarize and analyze the patterns or matched alignments in the BLAST output file. BLAST lacks of general and robust parsing tools to extract the essential information out from its output. This paper presents a pattern summary system which is a powerful and comprehensive tool for discovering pattern structures in huge amount of sequence data in the BLAST. The pattern summary system can identify clusters of patterns, extract the cluster pattern sequences from the subject database of BLAST, and display the clusters graphically to show the distribution of clusters in the subject database.

• 대한기계학회논문집A
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• 제30권3호
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• pp.231-240
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• 2006

Immersive virtual reality (VR) for the manufacturing planning helps to shorten the planning times as well as to improve the quality of planning results. However, VR equipment is expensive, both in terms of development efforts and device. Engineers also spend time to manually repair erroneous 3-D shape because of imperfect translation between 3-D engineering CAD model and VR system format. In this paper a method is proposed to link 3-D engineering CAD model to a multichannel visualization system with PC clusters. The multichannel visualization module enables distributed computing for PC clusters, which can reduce the cost of VR experience while offering high performance. Each PC in a cluster renders a particular viewpoint of a scene. Scenes are synchronized by reading parameters from the master scene control module and passing them to client scenes.

• 전력전자학회논문지
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• 제23권6호
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• pp.415-423
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• 2018

This study uses a level selection algorithm with fixed sampling frequency for modular multilevel converter (MMC) systems. Theoretically, the proposed method increases the level infinitely while the sampling time remains the same. The proposed method called cluster stream buffer (CSB) consists of several clusters, wherein each cluster is composed of 32 submodules that depend on the level of the submodules in the MMC system. To increase the level of the MMC system, additional clusters are used, and the sampling time between clusters is determined from the sampling time between levels needed for utilizing the entire level from the MMC system. This method is crucial in the control of MMC-type HVDC systems because it improves scalability and precision.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2009년도 한국우주과학회보 제18권2호
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• pp.29.2-29.2
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• 2009

During the last four years, we have performed Sejong/ARCSEC Ca uvby survey using the CTIO-1m telescope aimed at obtaining Ca uvby photometry for about 50 globular clusters and selected fields in Baade's Windows. Our results show that Ca uvby photometric system can provide a powerful method to probe multiple populations in Galactic globular clusters. We will discuss the multiple stellar population in the globular cluster NGC6218 and NGC6752 as illustrations.

• 한국항행학회논문지
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• 제21권6호
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• pp.572-578
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• 2017

최근 동적 사용자의 정밀위치 요구가 높아지면서, Network RTK(real time Kinematics)를 동적사용자에게 적용하는 방안 연구가 활발히 진행되고 있다. Network RTK는 다수의 기준국 반송파 측정치를 활용해 약 50-70km 영역에 정밀위치를 제공하는 시스템이다. 이러한 Network RTK 보정정보를 제공하는 다수의 클러스터를 하나의 시스템으로 구성하면, 보다 넓은 영역의 동적 사용자에게 정밀위치를 제공할 수 있다. 본 논문은 다중 클러스터를 전국으로 확장하는 경우 효율적으로 운용하는 방안에 대해 연구했다. 다중 클러스터 시스템의 구성에 따른 계산량을 분석하고, 효율적인 운용을 위해 주 수신국 운용 방안 및 시스템 인프라 구성 방안을 제안했다. 또한 각 제안한 방안에 따른 효과를 분석하고자, 국토지리정보원의 기준국을 활용해 71개의 클러스터를 구성하여, 시뮬레이션을 수행했다. 시뮬레이션 결과 주 수신국 운용 방안에 따라 시스템 계산량은 66 % 감소하고, 시스템 구성에 따라 시스템 구성비용을 90 % 절감할 수 있었다.

• 천문학회지
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• 제46권3호
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• pp.103-123
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• 2013

Star clusters are superb astrophysical laboratories containing cospatial and coeval samples of stars with similar chemical composition. We initiate the Sejong Open cluster Survey (SOS) - a project dedicated to providing homogeneous photometry of a large number of open clusters in the SAAO Johnson-Cousins' UBV I system. To achieve our main goal, we pay much attention to the observation of standard stars in order to reproduce the SAAO standard system. Many of our targets are relatively small sparse clusters that escaped previous observations. As clusters are considered building blocks of the Galactic disk, their physical properties such as the initial mass function, the pattern of mass segregation, etc. give valuable information on the formation and evolution of the Galactic disk. The spatial distribution of young open clusters will be used to revise the local spiral arm structure of the Galaxy. In addition, the homogeneous data can also be used to test stellar evolutionary theory, especially concerning rare massive stars. In this paper we present the target selection criteria, the observational strategy for accurate photometry, and the adopted calibrations for data analysis such as color-color relations, zero-age main sequence relations, Sp - MV relations, Sp - $T_{eff}$ relations, Sp - color relations, and $T_{eff}$ - BC relations. Finally we provide some data analysis such as the determination of the reddening law, the membership selection criteria, and distance determination.