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      • 한 종합병원 방사선과 내의 작업환경에 관한 조사연구

        김재권,김용권,Kim Jae-Kwon,Kim Yong-Kwon 대한방사선사협회 2001 대한방사선사협회지 Vol.27 No.2

        Ⅰ. Purpose : This study has its aim at protecting the health of workforces .of a general hospital, improving their working environment, increasing the efficiency of their work, maintaing pleasant working conditions for them and preventing occupational dis

      • 건강검진 수검자를 대상으로 한 골밀도검사 유용성에 관한 연구

        김재권,김용권,모은희,김성수,이동근,Kim Jae-Kwon,Kim Yong-Kwon,Mo Eun-Hee,Kim Sung-Soo,Lee Dong-Keun 대한방사선사협회 2003 대한방사선사협회지 Vol.29 No.1

        Purpose : In order to receive a health medical examination undergoing an examination which it visits it analyzes The bone mineral density of the object people who enforce the selection bone mineral density test with the object which will cut and prevalenc

      • 소아 장중첩증에시 바륨관장법과 공기 주입 정복술의 비교 분석

        김재권,유진오,김성수,Kim Jae-Kwon,Yu Jin-Oh,Kim Sung-Su 대한방사선사협회 2002 대한방사선사협회지 Vol.28 No.1

        Purpose : The objective of the study is to compare and examine the efficacies of barium enema and air reduction as infantile intussusception treatment. Objects and Methods: A retrospective research was conducted on infantile intussusception patients from

      • KCI등재

        클라우드 환경의 교통정보 서비스를 위한 조건부 확률 추론을 이용한 가상 머신 프로비저닝 스케줄링

        김재권,이종식,Kim, Jae-Kwon,Lee, Jong-Sik 한국시뮬레이션학회 2011 한국시뮬레이션학회 논문지 Vol.20 No.4

        전 세계적으로 자동차의 수요와 교통정보 서비스의 활용도가 높아지고 있다. 따라서 교통정보 서비스의 종류와 데이터의 양의 증가로 인해 많은 IT 자원 인프라가 필요하다. 인프라의 감소를 위해 클라우드 컴퓨팅이 주목을 받고 있으며, 자원관리를 위해 프로비저닝 스케줄링 기법이 필요하다. 본 논문에서는 클라우드 환경에서 교통정보 서비스를 위한 조건부 확률 추론을 활용한 프로비저닝 스케줄링(PSCPI: Provisioning Scheduling with Conditional Probability Inference)을 제안한다. PSCPI는 가상머신의 상태에 따라 나이브 베이즈 추론 기법을 사용하여 가상머신의 가용율에 따라 작업 할당을 할 수 있다. 나이브 베이즈 기반의 조건부 확률 추론 프로비저닝 스케줄링을 활용하여 교통정보 서비스에 높은 처리율과 활용율을 보인다. There is a growing tendency toward a vehicle demand and a utilization of traffic information systems. Due to various kinds of traffic information systems and increasing of communication data, the traffic information service requires a very high IT infrastructure. A cloud computing environment is an essential approach for reducing a IT infrastructure cost. And the traffic information service needs a provisioning scheduling method for managing a resource. So we propose a provisioning scheduling with conditional probability inference (PSCPI) for the traffic information service on cloud environment. PSCPI uses a naive bayse inference technique based on a status of a virtual machine. And PSCPI allocates a job to the virtual machines on the basis of an availability of each virtual machine. Naive bayse based PSCPI provides a high throughput and an high availability of virtual machines for real-time traffic information services.

      • KCI등재

        그리드 컴퓨팅에서 유효자원 동적 재배치 기반 작업 스케줄링 모델

        김재권,이종식,Kim, Jae-Kwon,Lee, Jong-Sik 한국시뮬레이션학회 2012 한국시뮬레이션학회 논문지 Vol.21 No.2

        그리드 컴퓨팅은 하나의 대용량 작업을 처리하도록 물리 자원을 구성하고 있지만 최근에는 데이터의 급속한 증가로 인해서 복수개의 작업을 처리하는 방법이 필요하다. 일반적으로 대용량 작업을 요청하면 각 물리 자원들이 작업을 분할하게 되며, 자원의 성능과 거리에 따라 처리 시간이 다르다. 성능에 따라 먼저 완료된 유효자원은 어떠한 작업도 하지 않으며, 모든 작업이 끝났을 경우에 다음 작업을 처리한다. 이에 본 논문에서는 먼저 처리가 완료된 자원을 다른 작업에 할당할 수 있는 동적 자원 재배치 스케줄링 모델(DRRSM: Dynamic Resource Reallocation Scheduling Model)을 제안한다. DRRSM은 먼저 처리가 완료된 자원을 다른 작업에 자원의 성능과 거리에 따라 작업을 재배치시키는 방법이다. DRRSM은 여러 개의 대용량 작업을 처리하는데 효과적이다. A grid computing consists of the physical resources for processing one of the large-scale jobs. However, due to the recent trends of rapid growing data, the grid computing needs a parallel processing method to process the job. In general, each physical resource divides a requested large-scale task. And a processing time of the task varies with an efficiency and a distance of each resource. Even if some resource completes a job, the resource is standing by until every divided job is finished. When every resource finishes a processing, each resource starts a next job. Therefore, this paper proposes a dynamic resource reallocation scheduling model (DDRSM). DDRSM finds a waiting resource and reallocates an unfinished job with an efficiency and a distance of the resource. DDRSM is an efficient method for processing multiple large-scale jobs.

      • SCOPUSKCI등재

        다층 RIE Electrode를 이용한 아크릴의 O<sub>2</sub>/N<sub>2</sub> 플라즈마 건식 식각

        김재권,김주형,박연현,주영우,백인규,조관식,송한정,이제원,Kim, Jae-Kwon,Kim, Ju-Hyeong,Park, Yeon-Hyun,Joo, Young-Woo,Baek, In-Kyeu,Cho, Guan-Sik,Song, Han-Jung,Lee, Je-Won 한국재료학회 2007 한국재료학회지 Vol.17 No.12

        We investigated dry etching of acrylic (PMMA) in $O_2/N_2$ plasmas using a multi-layers electrode reactive ion etching (RIE) system. The multi-layers electrode RIE system had an electrode (or a chuck) consisted of 4 individual layers in a series. The diameter of the electrodes was 150 mm. The etch process parameters we studied were both applied RIE chuck power on the electrodes and % $O_2$ composition in the $N_2/O_2$ plasma mixtures. In details, the RIE chuck power was changed from 75 to 200 W.% $O_2$ in the plasmas was varied from 0 to 100% at the fixed total gas flow rates of 20 sccm. The etch results of acrylic in the multilayers electrode RIE system were characterized in terms of negatively induced dc bias on the electrode, etch rates and RMS surface roughness. Etch rate of acrylic was increased more than twice from about $0.2{\mu}m/min$ to over $0.4{\mu}m/min$ when RIE chuck power was changed from 75 to 200 W. 1 sigma uniformity of etch rate variation of acrylic on the 4 layers electrode was slightly increased from 2.3 to 3.2% when RIE chuck power was changed from 75 to 200 W at the fixed etch condition of 16 sccm $O_2/4\;sccm\;N_2$ gas flow and 100 mTorr chamber pressure. Surface morphology was also investigated using both a surface profilometry and scanning electron microscopy (SEM). The RMS roughness of etched acrylic surface was strongly affected by % $O_2$ composition in the $O_2/N_2$ plasmas. However, RIE chuck power changes hardly affected the roughness results in the range of 75-200 W. During etching experiment, Optical Emission Spectroscopy (OES) data was taken and we found both $N_2$ peak (354.27 nm) and $O_2$ peak (777.54 nm). The preliminarily overall results showed that the multi-layers electrode concept could be successfully utilized for high volume reactive ion etching of acrylic in the future.

      • SCOPUSKCI등재

        저진공 축전 결합형 BCl<sub>3</sub>/N<sub>2</sub> 플라즈마를 이용한 GaAs의 건식 식각

        김재권,박주홍,이성현,노호섭,주영우,박연현,김태진,이제원,Kim, Jae-Kwon,Park, Ju-Hong,Lee, Sung-Hyun,Noh, Ho-Seob,Joo, Young-Woo,Park, Yeon-Hyun,Kim, Tae-Jin,Lee, Je-Won 한국재료학회 2009 한국재료학회지 Vol.19 No.3

        This study investigates GaAs dry etching in capacitively coupled $BCl_3/N_2$ plasma at a low vacuum pressure (>100 mTorr). The applied etch process parameters were a RIE chuck power ranging from $100{\sim}200W$ on the electrodes and a $N_2$ composition ranging from $0{\sim}100%$ in $BCl_3/N_2$ plasma mixtures. After the etch process, the etch rates, RMS roughness and etch selectivity of the GaAs over a photoresist was investigated. Surface profilometry and field emission-scanning electron microscopy were used to analyze the etch characteristics of the GaAs substrate. It was found that the highest etch rate of GaAs was $0.4{\mu}m/min$ at a 20 % $N_2$ composition in $BCl_3/N_2$ (i.e., 16 sccm $BCl_3/4$ sccm $N_2$). It was also noted that the etch rate of GaAs was $0.22{\mu}m/min$ at 20 sccm $BCl_3$ (100 % $BCl_3$). Therefore, there was a clear catalytic effect of $N_2$ during the $BCl_3/N_2$ plasma etching process. The RMS roughness of GaAs after etching was very low (${\sim}3nm$) when the percentage of $N_2$ was 20 %. However, the surface roughness became rougher with higher percentages of $N_2$.

      • KCI등재

        클라우드 프로비저닝 서비스를 위한 퍼지 로직 기반의 자원 평가 방법

        김재권,이종식,Kim, Jae-Kwon,Lee, Jong-Sik 한국시뮬레이션학회 2013 한국시뮬레이션학회 논문지 Vol.22 No.1

        클라우드 환경은 여러 개의 컴퓨팅 자원들을 이용하는 분산 컴퓨팅 환경의 일종으로 가상머신을 이용 하여 작업을 처리한다. 클라우드 환경은 작업 요청에 따르는 부하분산과 빠른 작업 처리를 위한 프로비저닝 기술을 이용하여 가상머신의 상태에 따라 작업을 할당 한다. 하지만, 클라우드 환경의 작업 스케줄링을 위해서는 가상머신의 성능에 따르는 애매모호한 상태에 대한 가용성의 정의가 필요하다. 본 논문에서는 클라우드 환경의 프로비저닝 스케줄링을 위해 퍼지 로직 기반의 자원평가를 이용한 가상머신 프로비저닝 스케줄링(FVPRE: Fuzzy logic driven Virtual machine Provisioning scheduling using Resource Evaluation)을 제안한다. FVPRE는 각 가상머신의 정의하기 어려운 성능의 상태를 분석하여 자원 가용성에 대한 값을 구체화하여 정확한 자원의 가용성 평가를 통해 효율적인 프로비저닝 스케줄링이 가능하다. FVPRE는 클라우드 환경의 작업 처리에 대해 높은 처리율과 활용율을 보인다. Cloud computing is one of the distributed computing environments and utilizes several computing resources. Cloud environment uses a virtual machine to process a requested job. To balance a workload and process a job rapidly, cloud environment uses a provisioning technique and assigns a task with a status of virtual machine. However, a scheduling method for cloud computing requires a definition of virtual machine availabilities, which have an obscure meaning. In this paper, we propose Fuzzy logic driven Virtual machine Provisioning scheduling using Resource Evaluation(FVPRE). FVPRE analyzes a state of every virtual machine and actualizes a value of resource availability. Thus FVPRE provides an efficient provisioning scheduling with a precise evaluation of resource availability. FVPRE shows a high throughput and utilization for job processing on cloud environments.

      • SCOPUSKCI등재

        농촌주민(農村住民)의 상병(傷病)에 관(關)한 조사연구(調査硏究)

        김재권,Kim, Jae-Kwon 대한예방의학회 1977 Journal of Preventive Medicine and Public Health Vol.10 No.1

        A study on the sickness distribution and mode of treatment in rural area was conducted during the period from July '75 to Aug. '75 using 1,225 households, 7,918 population (4,017 male, 3,901female) and 343 cases th at found during the period of survey who had beenlived in Nammyon, Hwasoongun, Chonnam. The summarized results were as follows : 1. Average family number per household was 6.5 and prevalence rate was 43.3 (21.2 for male, 22.1 for female). 2. General sickness distribution by classification of disease according to W.H.O. was highest in disease of the nervous system and sense organs (21.3%), and important others were disease of the digestive system (16.9%) and disease of the respiratory system(14.8%). In male, distribution was in order of downward disease of digestive system, disease of nervous system and sense organs, disease of skin, cellular tissue, bones and organs of movement, and disease of respiratory system. In female, distribution was in order of downward disease of nervou s system and sense organs, disease of respiratory system, disease of digestive system, and disease of skin, cellular tssue, bones and organs of movement. 5. Types of treatment in both sexes were showed that home and folkmedicine (41.1%), pharmacy(24.5%), admission to hospital or clinic (16.9%), out-patient clinic (10.8%) and herbmedicine (6.7%) in downward order. Hospital and clinic utility rate was 27.5% (31.5 for male, 24.0 for female) and it was highest in 0-4 age groups and lowest in 40-49 year age groups. 4. Hospital and clinic utility rate was highest in neoplasms, and the other hands, disease of the nervous system and sense organs and disease of the digestive system were the highest groups in the all types of treatment other than hospital and clinic. 5. On the results of treatment not, exactly replied answer was the highest (41.7%) and only 16.0% said complete recovery. In completely recovered cases, hospital and clinic using group was predominant (58.2%) and in aggravated cases, home and folkmedicine using group was highest.

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