• 천문학회보
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• 제43권1호
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• pp.61.3-61.3
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• 2018

To understand the assembly of the galaxy population in clusters today, it is important to first understand the impact of previous environments prior to cluster infall, namely preprocessing. We use 15 cluster samples from hydrodynamic zoom-in simulation YZiCS to determine the significance of preprocessing focusing primarily on the tidal mass loss of dark matter halos. We find ~48% of the cluster member halos were once satellites of another host. The preprocessed fraction is not a clear function of cluster mass. Instead, we find it is related to each individual cluster's recent mass growth history. We find that the total mass loss is a clear function of time spent in a host. However, two factors can considerably increase the mass loss rate. First, if the satellite mass is approaching the mass of its host. Second, when the halo suffers tidal mass loss at a higher redshift. The preprocessing provides an opportunity for halos to experience tidal mass loss for a more extended period of time than would be possible if they simply fell directly into the cluster, and at earlier epochs when hosts were more destructive to their satellites.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제22권2호
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• pp.89-94
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• 2016

최근 클라우드 컴퓨팅 시장의 클러스터 환경이 일반 클러스터 환경에서 가상화 클러스터 환경으로 변화하고 있다. 이러한 클러스터 환경의 변화는 대용량 분산처리 성능에 영향을 끼치고 있으며, 국내외의 많은 IT관련 기업에서 경쟁적으로 연구와 서비스에 집중 투자하고 있다. 본 논문에서는 대용량 데이터 분산 처리 성능에 하이퍼바이저가 미치는 영향을 비교하기 위한 목적으로 하이퍼바이저를 사용하는 Xen과 컨테이너 기반의 Docker를 사용하여 가상 클러스터 환경을 만들고, MapReduce의 성능을 측정하는 실험을 하였다. 이 결과 하이퍼바이저를 사용하지 않은 Docker 성능이 약 1.44배 - 2.92배 더 좋은 것을 검증하였다.

• 한국산업정보학회논문지
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• 제11권5호
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• pp.225-235
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• 2006

1980년대 이후 세계 각국은 실리콘밸리를 모방하려는 노력을 경쟁적으로 추구하고 있다. 우리나라에서도 '90년 이후 첨단산업 클러스터에 대한 논의가 대두 되었다. 이에 본 논 논문은 '클러스터'에 관한 선행연구들로부터 클러스터의 형성의 핵심요인들을 도출한 후 이를 기준으로 '충북지역의 SW 산업'의 클러스터 형성 정도를 조사하였다. 아울러 통계분석으로 얻은 주요인별 성숙도에 기초하여 해당 지역의 클러스터 형성 촉진 방안을 그 대안으로 제시하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.241-244
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• 2012

모바일 애드혹 네트워크에서 노드들은 한정된 에너지 자원을 가지고 있기 때문에 에너지 효율적인 라우팅 기법을 통해 통신 에너지를 절약하는 것이 가장 중요하다. 기존의 클러스터 기반 라우팅 프로토콜은 클러스터 헤드가 통신의 대부분에 참여하게 된다. 따라서 클러스터 헤드의 수명이 줄어들고 효율적인 경로를 가지지 못하게 된다. 본 논문에서 제안하는 새로운 클러스터 기반 라우팅 프로토콜은 클러스터 헤드가 멤버 노드들에게 경로를 알려주는 제어 패킷을 전송한다. 따라서 클러스터 헤드의 통신 참여가 줄어들고, 멤버 노드들은 반드시 클러스터 헤드를 거쳐 통신하는 과정을 생략하게 되므로 클러스터 헤드의 수명이 연장되고 효율적인 경로를 가지게 된다. 본 논문에서 제안한 프로토콜은 기존 클러스터 기반 라우팅 프로토콜과 비교하여 클러스터의 수명, 라우팅의 효율성, 경로의 안정성이 향상 되었다.

• 천문학회보
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• 제39권2호
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• pp.50-50
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• 2014

We present a new catalog of galaxies in the wider region of the Virgo cluster, based on the Sloan Digital Sky Survey (SDSS) Data Release 7. The Extended Virgo Cluster Catalog (EVCC) covers an area of 725 deg2 or 60.1 Mpc2. It is 5.2 times larger than the footprint of the classical Virgo Cluster Catalog (VCC) and reaches out to 3.5 times the virial radius of the Virgo cluster. We selected 1324 spectroscopically targeted galaxies with radial velocities less than 3000 km s-1. In addition, 265 galaxies that have been missed in the SDSS spectroscopic survey but have available redshifts in the NASA Extragalactic Database are also included. Our selection process secured a total of 1589 galaxies of which 676 galaxies are not included in the VCC. The certain and possible cluster members are defined by means of redshift comparison with a cluster infall model. We employed two independent and complementary galaxy classification schemes: the traditional morphological classification based on the visual inspection of optical images and a characterization of galaxies from their spectroscopic features. SDSS u, g, r, i, and z passband photometry of all EVCC galaxies was performed using Source Extractor. We compare the EVCC galaxies with the VCC in terms of morphology, spatial distribution, and luminosity function. The EVCC defines a comprehensive galaxy sample covering a wider range in galaxy density that is significantly different from the inner region of the Virgo cluster. It will be the foundation for forthcoming galaxy evolution studies in the extended Virgo cluster region, complementing ongoing and planned Virgo cluster surveys at various wavelengths.

• 한국통신학회논문지
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• 제32권11A호
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• pp.1164-1172
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• 2007

기존의 지그비 표준 메쉬 라우팅 알고리즘은 노드 수의 증가로 인해 라우팅 오버헤드 및 종단간 지연 등의 네트워크 성능의 심각한 저하 현상에 따른 네트워크 범위성 및 효율성에 대한 문제점을 가지고 있다. 이에 따라 본 논문에서는 증가하는 노드 수에 따른 범위성 문제를 해결하기 위해 ZiCL(ZigBee Cluster Label)이라 불리는 클러스터 라벨 기반의 새로운 지그비 메쉬 라우팅 알고리즘을 제안하고자 한다. ZiCL은 지그비 네트워크를 한 개 이상의 논리적인 클러스터로 나누고 각각의 클러스터에게 유일한 라벨을 부여함으로써 클러스터 라벨 기반의 경로 탐색을 수행한다. 이를 통해 ZiCL은 소스 노드가 경로탐색을 통해 확립한 목적지 노드의 클러스터 라벨 정보를 같은 클러스터 멤버들과 함께 공유하게 합으로써 이후 발생할 수 있는 잠재적인 경로 탐색 횟수를 효과적으로 줄이는데 기여한다. 이러한 ZiCL의 성능을 분석하기 위해 NS-2 시뮬레이션을 수행하였고, 그 결과 라우팅 오버헤드, 패킷 전달율, 종단간 지연 및 메모리 사용률에 대한 네트워크 성능이 향상됨을 확인할 수 있었다.

• 한국환경보건학회지
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• 제46권6호
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• pp.726-734
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• 2020

Objectives: The aim of this study was to analyze and classify the characteristics of potential damage from hazardous chemical accidents in 229 administrative units in South Korea by reflecting the social and environmental characteristics of areas where chemical accidents can occur. Methods: A number of indicators were selected through preceding studies. Factor analysis was performed on selected indicators to derive factors, and cluster analysis was performed based on the factor scores. Results: As a result of the cluster analysis, 229 administrative units were divided into three clusters, and it was confirmed that each cluster had its own characteristics. Conclusions: The first cluster, "areas at risk of accident occurrence and spread of damage" was a type with a high potential for accident damage and a high density of hazardous facilities. The second cluster, "Urban infrastructure damage hazard areas" appeared to be a cluster with high urban development characteristics. Finally, the third cluster 'Urban and environmental damage hazard areas' appeared to be a cluster with an excellent natural environment. This study went further from the qualitative discussion related to existing chemical accidents to identify and respond to accident damage by reflecting the social and environmental characteristics of the region. Distinct from the previous studies related to the causes of accidents and the response system, it is meaningful to conduct empirical research focusing on the affected areas by analyzing the possibility of accident damage in reflection of the social and environmental characteristics of the community.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.178-192
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• 2021

File system forensics typically focus on the contents or timestamps of a file, and it is common to work around file/directory centers. But to recover a deleted file on the disk or use a carving technique to find and connect partial missing content, the evidence must be analyzed using cluster-centered analysis. Forensics tools such as EnCase, TSK, and X-ways, provide a basic ability to get information about disk clusters, but these are not the core functions of the tools. Alternatively, Sysinternals' DiskView tool provides a more intuitive visualization function, which makes it easier to obtain information around disk clusters. In addition, most current tools are for Windows. There are very few forensic analysis tools for MacOS, and furthermore, cluster analysis tools are very rare. In this paper, we developed a tool named FACT (Forensic Analyzer based Cluster Information Tool) for analyzing the state of clusters in a HFS+ file system, for digital forensics. The FACT consists of three features, a Cluster based analysis, B-tree based analysis, and Directory based analysis. The Cluster based analysis is the main feature, and was basically developed for cluster analysis. The FACT tool's cluster visualization feature plays a central role. The FACT tool was programmed in two programming languages, C/C++ and Python. The core part for analyzing the HFS+ filesystem was programmed in C/C++ and the visualization part is implemented using the Python Tkinter library. The features in this study will evolve into key forensics tools for use in MacOS, and by providing additional GUI capabilities can be very important for cluster-centric forensics analysis.

• 한국경영과학회지
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• 제28권4호
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• pp.39-60
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• 2003

In this study, we evaluate financial performance of 21 domestic life insurers using SAW (simple additive weighting), ELECTREII, cluster analysis respectively, and suggest a hybrid approach of combining cluster analysis and ELECTREII to reclassify the life insurers into more meaningful groups according to their respective financial features. We also perform the sensitivity analysis employing ANOVA and Tukey's test to examine the robustness of ELECTREII, which would be influenced by decision maker's subjective preference parameters. Consequently, it is shown that ELECTREII turns out to be a flexible method providing decision makers with useful ranking Information especially under fuzzy decision making situation with incomparable alternatives, and hence it can serve as a complementary method to overcome the weakness of classical cluster analysis.

• 기술혁신학회지
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• 제5권2호
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• pp.167-188
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• 2002

Summary: This paper analyzes Indian software industry in the perspective of innovation cluster. The research shows that the software industry has been following an upstream clustering process, where the major value activity is expanding from low value product/services to high value product/services. The growth of software industry could be successful because there was appropriate initial condition of Bangalore, such as the availability of high qualified human resources, excellent research institutes, small high-tech companies. The role of government was helpful for the late growth of software industry but not a critical factor for the initial development of the S/W cluster. It is suggested that government should consider the initial condition of a concerned location critically to implement a cluster-type innovation policy.