• The Korean Journal of Pain
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• 제8권2호
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• pp.272-278
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• 1995

Headache is a common disease of the general population. But the main problem in any study of headache has been that of defining the disease entities. In 1988, the Headache Classification committee of the International Headache Society introduced operational diagnostic criteria for all headache disorders into 13 major group; migraine, tension-type headache, cluster headache and chronic paroxysmal hemicrania etc. Sjaastad was the first to describe "cervicogenic headache", one of various head pain syndromes that probably originate in the cervical spine. Between March 1995 and June 1995, we studied 78 out-patients of the Department of Neuro pain clinic, Sanggye Paik Hospital, Inje university. We divided the patients into three study group: Fifty-three patients with tension-type headache, 13 with cervicogenic headache, and 12 with migraine headache. The reponse of trigger point injection and $C_2$-ganglion block in patients was investigated. We paid particular attention to the response of trigger point injection in patients of the three group. The effect of trigger point injection was more marked in tension-type headache group than in the other categories. The pain reduction after $C_2$-ganglion block was more marked in cervicogenic headache group than in the others.

• 천문학회보
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• 제39권1호
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• pp.61.2-61.2
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• 2014

We present a set of fiducial sequences of horizontal-branch stars in bright Galactic globular clusters, which have previously been observed in the Sloan Digital Sky Survey (SDSS). We derive fiducial lines on color-magnitude diagrams in multiple color indices (g - r, g - i, g - z, and u - g), after rejecting foreground and background objects as well as RR Lyrae variables utilizing these color indices. We compare our fiducial sequences with model predictions from Yonsei-Yale evolutionary tracks and BaSel spectral libraries, and find a satisfactory agreement between them in terms of their color-magnitude relations, except in u - g. We also compare theoretical models to color-magnitude diagrams of two open clusters (M67 and NGC 6791). Based on our best available cluster distance and reddening, we find that the mass of red clump (RC) stars in NGC 6791 is about a factor of two smaller than an earlier estimate from the application of asteroseismic scaling relations for solar-like oscillations. The smaller RC mass implies an enhanced mass loss along the red giant branch, which is in accordance with other compelling evidences found in this metal-rich system. Our estimated luminosity of RC stars in NGC 6791 is about 0.2 mag fainter than in earlier investigations based on solar-metallicity calibrations, and results in ~10% reduction in the RC-based distance estimation, when applied to metal-rich systems such as in the Galactic bulge.

• 한국통신학회논문지
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• 제29권9B호
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• pp.808-817
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• 2004

최근 Low-Rate WPAN 기술에 관한 많은 연구가 진행되고 있다. Low-Rate WPAN 은 사용자가 실질적으로 인식하지 못하는 상황에서도 주변환경에 존재하는 많은 수의 센서를 통해 컴퓨터를 이용한 개선된 서비스제공에 목적을 두고있다. Low-Rate WPAN 환경을 구성하는 센서 디 B} 이스는 빈번한 이동성을 가지게 되고 새로운 경로 탐색을 위한 메카니즘을 필요로 하게 되므로, 본 논문에서는 센서 디바이스의 위치정보를 이용한 Low-Rate WPAN 환경에서의 효율척언 라우팅 메카니즘을 제안한다. 제안한 메카니즘은 기존 방법들에 비해 라우팅 메시지 수를 감소시킬 수 있음을 시뮬레이션을 통해 입증한다.

• 한국정보통신학회논문지
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• 제14권5호
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• pp.1146-1154
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• 2010

오픈 소스 클라우드 컴퓨팅 플랫폼인 OpenNebula를 이용한 클라우드 컴퓨팅 환경에서 가상머신 임대 서비스를 구현하고 클라우드 자원 관리와 서비스 사용의 편의성을 위하여 웹기반 클라우드 사용자 인터페이스를 구현하였다. OpenNebula의 가상머신 할당 기법은 가상화 소프트웨어의 CPU 할당 스케줄러를 고려하지 않아 성능 저하의 요인이 되고 있다. 이러한 문제점을 해결하기 위하여 클러스터 노드의 유휴 CPU 자원의 우선순위와 Xen의 Credit 스케줄러를 고려하여 OpenNebula의 가상머신 할당 스케줄러의 성능을 개선하였다. 실험 결과 제안한 가상머신 할당기법은 기존 방식에 비하여 수용 가능한 가상머신 수와 CPU 자원 할당량에서 향상된 결과를 보였다.

• 한국정보과학회논문지:시스템및이론
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• 제30권7_8호
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• pp.331-340
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• 2003

가격대비 성능이 좋은 저가의 상업용 SMP가 클러스터 시스템의 노드로 많이 사용되고 있다. 본 논문에서는 이러한 SMP 클러스터 상에서 KDSM을 확장해 소프트웨어 분산공유메모리를 구현하고 성능을 평가하였다. 본 논문의 SDSM 시스템은 HLRC 메모리 모델을 제공한다. 또한 같은 SMP 노드내에서 실행되는 프로세스 간에는 메모리 공유를 통해 페이지 획득 및 메시지 전달을 줄여 성능을 향상시켰다. 100Mbps Fast Ethernet으로 연결된 8노드의 2-way 펜티엄-III SMP 클러스터 상에서 구현되었고 통신계층은 TCP/IP를 사용한다. 8개의 응용프로그램을 실행시켜 얻은 성능 평가에서는 기존의 단일프로세스 프로토콜과 비교해 최대 33%의 성능 향상과 13%-52%의 페이지 획득 감소가 나타났다.

• 한국산업정보학회논문지
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• 제18권3호
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• pp.35-46
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• 2013

국내 전력 수요량 예측을 위한 정확한 분석 모델을 개발하기 위하여 고차원 데이터 군집 분석에 적합한 차원 축소 개념의 부분공간 군집 기법과 SMO 분류 기법을 결합한 전력 수요 패턴 예측 방법을 제안하였다. 전력 수요 패턴 예측은 무선부하감시 데이터 뿐 아니라 소지역 단위의 센서스 정보를 통합하여 시간대별 전력 부하 패턴 분석과 인구통계학 및 지리학적 특성 분석이 가능하다. 서울지역 대상의 센서스 정보 및 전력 부하를 이용한 소지역 전력 수요 패턴 예측 결과 총 18개의 특성 군집을 구성하였으며, 전력 수요 패턴 예측 정확도는 약 85%를 보였다.

• Genomics & Informatics
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• 제19권2호
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• pp.14.1-14.6
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• 2021

Coronavirus disease 2019 (COVID-19) is an on-going pandemic disease infecting millions of people across the globe. Recent reports of reduction in antibody levels and the re-emergence of the disease in recovered patients necessitated the understanding of the pandemic at the core level. The cases of multiple organ failures emphasized the consideration of different organ systems while managing the disease. The present study employed RNA sequencing data to determine the disease associated differentially regulated genes and their related protein interactions in several organ systems. It signified the importance of early diagnosis and treatment of the disease. A map of protein interactions of multiple organ systems was built and uncovered CAV1 and CTNNB1 as the top degree nodes. A core interactions sub-network was analyzed to identify different modules of functional significance. AR, CTNNB1, CAV1, and PIK3R1 proteins were unfolded as bridging nodes interconnecting different modules for the information flow across several pathways. The present study also highlighted some of the druggable targets to analyze in drug re-purposing strategies against the COVID-19 pandemic. Therefore, the protein interactions map and the modular interactions of the differentially regulated genes in the multiple organ systems would incline the scientists and researchers to investigate in novel therapeutics for the COVID-19 pandemic expeditiously.

• 한국멀티미디어학회논문지
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• 제22권6호
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• pp.676-683
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• 2019

Wireless Sensor Networks (WSNs) consist of multiple tiny and power constrained sensors which use radio frequencies to carry out sensing in a designated sensor area. To effectively design and implement reliable WSN, it is critical to consider models, protocols, and algorithms that can optimize energy consumption of all the sensor nodes with optimal amount of packet delivery. It has been observed that deploying a single sink node comes with numerous challenges especially in a situation with high node density and congestion. Sensor nodes close to a single sink node receive more transmission traffic load compared to other sensors, thus causing quick depletion of energy which finally leads to an energy hole and sink hole problems. In this paper, we proposed the use of multiple energy efficient sink nodes with brute force technique under optimized parameters to improve on the number of packets delivered within a given time. Simulation results not only depict that, deploying N sink nodes in a sensor area has a maximum limit to offer a justifiable improvement in terms of packet delivery ratio but also offers a reduction in End to End delay and reliability in case of failure of a single sink node, and an improvement in the network lifetime rather than deploying a single static sink node.

• International Journal of Contents
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• 제15권3호
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• pp.32-38
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• 2019

We usually suffer from difficulties in treating or managing Big Data generated from various digital media and/or sensors using traditional mining techniques. Additionally, there are many problems relative to the lack of memory and the burden of the learning curve, etc. in an increasing capacity of large volumes of text when new data are continuously accumulated because we ineffectively analyze total data including data previously analyzed and collected. In this paper, we propose a general-purpose classifier and its structure to solve these problems. We depart from the current feature-reduction methods and introduce a new scheme that only adopts changed elements when new features are partially accumulated in this free-style learning environment. The incremental learning module built from a gradually progressive formation learns only changed parts of data without any re-processing of current accumulations while traditional methods re-learn total data for every adding or changing of data. Additionally, users can freely merge new data with previous data throughout the resource management procedure whenever re-learning is needed. At the end of this paper, we confirm a good performance of this method in data processing based on the Big Data environment throughout an analysis because of its learning efficiency. Also, comparing this algorithm with those of NB and SVM, we can achieve an accuracy of approximately 95% in all three models. We expect that our method will be a viable substitute for high performance and accuracy relative to large computing systems for Big Data analysis using a PC cluster environment.

• Bulletin of the Korean Chemical Society
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• 제10권3호
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• pp.230-234
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• 1989

The crystal structure of $Ag^+$-exchanged zeolite A vacuum-dehydrated at $370^{\circ}C$ and then treated with carbon monoxide at $$23^{\circ}C$ has been determined by single crystal x-ray diffraction methods in the cubic space group Pm3m at $23^(1){\circ}C$ ; a = 12.116 (2)${\AA}$. The structure was refined to the final error indices $R_1\;=\;0.061\;and\;R_2$(weighted) = 0.068 using 349 independent reflections for which I > 3${\sigma}(I).\;3.6\;Ag_+-CO$ complexes, where -CO may represent -CHO or -$CH_2OH$, were found in each large cavity. By coordination to silver atoms followed by reaction with $Ag^{\circ}and\;H^+$ within the zeolite, carbon monoxide has been partially reduced. In about 28% of the sodalite units, a $Ag_6(Ag^+)_2$ cluster may be present. In about 37% of the sodalite units, three $Ag^+$ ions are found on threefold axes where they may be bridged by three water molecules. The remaining 35% of the sodalite units are empty of silver species. Two $Ag^+$ ions per unit cell are associated with 8-ring oxygens. The remaining ca $$3Ag^+$ ions per unit cell have been reduced during the synthesis and have migrated to form small silver crystallities on the surface of the zeolite single crystal.