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      • KCI등재

        광주광역시 치매의 유병률과 위험인자의 도시-농촌 지역 비교

        신일선,김재민,윤진상,김석재,양수진,김웅장,이승현,강순아,곽지영,이형영 大韓神經精神醫學會 2002 신경정신의학 Vol.41 No.6

        연구목적 : 본 연구의 목적은 광주광역시의 도시 및 농촌 지역에 거주하는 노인에서 치매의 유병률과 위험인자를 조사하고자 하였다. 부가적으로 이 두 지역간에 치매의 유병률과 위험인자를 비교하고자 하였다. 방 법 : 광주광역시의 전형적인 도시와 농촌지역의 65세 이상의 노인(N=1,598)을 대상으로, 2단계의 역학연구를 수행하였다. 1차 선별 단계에서는 38명의 훈련된 연구보조원이 대상노인을 면담하여, 사회인구학적 특징을 조사하고 한국판 간이정신상태검사(Korean version of Mini-Mental State Examination ; MMSE-K)로 평가하였다. 2차 임상 진단 단계에서는 1차 단계에서 MMSE-K 점수가 24점 이하인 노인(N=431)을 대상으로, 전문연구팀의 임상적 평가를 통해 치매를 진단하고 원인질환별로 알쯔하이머병(Alzheimer's disease ; AD), 혈관성 치매(vascular dementia ; VaD) 및 기타 치매로 분류하였다. 대상노인에서 치매의 유병률을 측정한 후, 광주광역시 전체 노인의 연령보정 유병률을 산출하였다. 전체 대상에서 AD의 위험인자를 조사한 후, 도시와 농촌군으로 나누어 분석을 다시 시행하였다. 결 과 : 1차 및 2차 단계의 참가율은 각각 71.0%(N=1,134) 및 83.2%(N=410) 였다. 연구 참여 노인(N=1,134)에서 전체 치매, AD 및 VaD의 유병률은 최소 각각 9.7%, 5.2%, 1.8%였다. 광주광역시 전체 노인의 연령 보정 유병률은 각각 10.7%, 5.7%, 1.9%인 것으로 산출되었다. AD의 독립 위험인자는 고령, 여성, 무학이었다. 도시와 농촌에 따른 유병률의 차이는 파악되지 않았다. 그러나 AD의 위험인자는 지역에 따라 차이가 있었다. 도시 노인에게는 무학만이, 농촌 노인에게는 고령과 여성인 경우가 독립 위험인자였다. 결 론 : 광주광역시 노인에서 치매의 유병률은 높았고, 이는 국내 다른 지역에서 수행된 선행연구 결과와 유사하였다. 알쯔하이머형 치매의 위험인자는 도시와 농촌에 따라 다른 결과를 보였다. 본 연구 결과는 한국에서의 치매의 실태를 반영하며, 치매의 적절한 관리와 예방을 위해서는 지역성 특성이 고려되어야 함을 시사한다. Objectives : The purpose of this study was to investigate the prevalence rate and risk factors of dementia in an urban and a rural sample of older persons in the metropolitan Kwangju area, Republic of Korea. In addition, the prevalence rate and risk factors of dementia between the two samples were compared. Methods : A two-phase epidemiological study of residents aged 65 or over(N=1,598) was conducted in a highly developed, urban and a non-contiguous, poorly developed, rural area of metropolitan Kwangju. In the first(screening) phase, 38 trained research assistants collectively peformed in-home interviews for all participants. Detailed sociodemographic characteristics were gathered and the Korean version of Mini-Mental State Examination (MMSE-K) was administered. In the second (diagnosing) phase, diagnosis of dementia was established for those scoring 24 or less on the MMSE-K in the screening phase(N=431), and etiological types of dementia were classified to Alzheimer's disease(AD), vascular dementia(VaD) or miscellanous type by two teams of experts. Prevalence rate of dementia was determined in the participants, and age-standardized prevalence rate adjusted by age distribution in metropolitan Kwangju was estimated. For AD, the risk factors were investigated in all participants, and analyses were repeated for the urban and rural samples separately. Results : The participating rates in the first and second phases were 71.0%(N=1,134) and 83.2%(N=410), respectively. In the participants, the prevalence rates of dementia(all types), AD and VaD were 9.7%, 5.2% and 1.8%, respectively. The age-standardized prevalence rates were 10.7%, 5.7% and 1.9%, respectively. Aging, female gender and no education(complete lack of formal education) were identified as independent risk factors for AD. No difference between the urban and rural samples was observed in the prevalence rates of dementia(all types), AD and YaD. However, risk factors for AD differed between these areas. In the urban sample, no education was the only significant factor ; whereas, aging and female gender were identified as risk factors in the rural sample. Conclusion : A high prevalence rate of dementia was observed among old persons in metropolitan Kwangju, consistent with previous studies conducted in other Korean areas. The risk factor profi1es for AD differed between urban and rural settings. The results of this study reflect the current status of dementia in Korea and suggests that appropriate management and prevention strategies for dementia should be tailored toward the geographic settings.

      • KCI등재

        간호사들에서 월경전불쾌기분장애와 삶의 질, 사회직업기능 및 장애 간의 연관성

        김선영,김재민,김웅장,양수진,김성완,신일선,윤진상 大韓神經精神醫學會 2008 신경정신의학 Vol.47 No.1

        Objectives : This study aimed to investigate the prospective associations of premenstrual dysphoric disorder (PMDD) with quality of life, socio-occupational function and disability. Methods : 170 nurses were recruited 6om two general hospitals. Interviews were made at baseline and at four follow-up points (two mid follicular phases and two late luteal phases ofthe two consecutive menstrual cycles). The baseline evaluation Consis-ted of sociodemographic characteristics and menstmal history. PMDD was diagnosed by DSM-IV criteria after observation of the two menstrual cycles. The follow-up evaluations were consisted ofthe World Health Organization Quality of Life-Brief form, the Social and Occupational Functioning Assessment Scale, and the World Health Organization Disability Assessment Scale-II. Results : PMDD was detected 15 (8.8%) of 170 participants. The PMDD group showed significantly worse quality of life and socio-occupational functioning than the none-PMDD group particularly at the late luteal phases. No significant differences were found in sociodemographic characteristics and menstrual history between those with and without PMDD. Conclusion : PMDD was prospectively associated with worse quality of life and socio-occupational functioning in this study group.

      • KCI등재
      • KCI등재

        Development and application of a technique for detecting beach litter using a Micro-Unmanned Aerial Vehicle

        ( Seon Woong Jang ),( Dae Hyun Kim ),( Yong Hyun Chung ),( Ki Taek Seong ),( Hong Joo Yoon ) 대한원격탐사학회 2014 大韓遠隔探査學會誌 Vol.30 No.3

        The aim of this study was to develop software for beach litter detection that includes a Graphical User Interface (GUI) and uses images taken by a micro-unmanned aerial vehicle. Videos were taken over Doomo pebble beach, Sogye pebble beach, and Heungnam sand beach on the northeast coast of Geojedo (Geoje Island), Korea. Still images of actual beach litter were obtained from the videos. The image processing involved preprocessing, morphological image processing, and image recognition. Comparison with still images showing beach litter demonstrated that the software could generally detect litter larger than 50 cm in size such as Styrofoam buoys and circular fish traps (excluding small pixel-size ropes). Combining the proposed method with the conventional surveying approach is expected to enhance the accuracy of beach litter detection. The new technique will also aid in predicting the amount of beach litter generated along coastlines, which is currently difficult to monitor.

      • KCI등재

        Type 4 Dual Left Anterior Descending Artery: A Case Report of a Rare Congenital Coronary Anomaly

        Seon Woong Jang,Ki Hwan Kim,Byung Hoon Lee 대한영상의학회 2024 대한영상의학회지 Vol.85 No.2

        Dual left anterior descending artery (LAD) is a rare congenital coronary artery anomaly with a prevalence of approximately 1% in the general population. To date, 10 types of dual LAD artery anomalies have been reported. Among these, type 4 is one of the rarest. Knowledge and recognition of the dual LAD artery are important for correct diagnosis and planning of coronary bypass surgery and percutaneous coronary intervention. We report a case of a 59-year-old male with type 4 dual LAD artery who presented with dyspepsia and sweating for several months and had approximately 50%–70% stenosis in a major diagonal branch off the short LAD artery.

      • Development of a Mathematical Model of Muscular Strength Adaptation to Resistance Training Based on Training Volume, Frequency, and Exercise Intensity

        ( Seon-woong Jang ),( Dong-hee Kim ),( Dae-yeol Kim ),( Dong-soo Park ),( Hyun-gi Kim ) 한국체육학회 2016 국제스포츠과학 학술대회 Vol.2016 No.1

        Purpose: The purpose of this study was to develop a mathematical model of muscular strength adaptation to resistance training, based on training variables such as training volume, frequency, and exercise intensity. Method: We first studied Arandjelovi?s model of neuromuscular adaptation to resistance training and then modified and expanded it to develop a new training variables-based model of muscular strength adaptation. The effect of each training variable on muscular strength adaptation was modeled using published data. Both of bench press and squat training were simulated in C++ programs. Parameters for the model were estimated with the experimental data from two different weight training programs (78.9% and 83.3% RM) using nonlinear least squares. It was followed by verification (checking of numerical error and intermediate simulation outputs) and validation tests (the R squared measure of goodness of fit, residual plots, and sensitivity analysis) with published data and computer simulations. Predictive quality of the model was estimated with the experimental data from a periodized weight training program. Result: A mathematical model of muscular strength adaptation to resistance training based on training volume, frequency, and exercise intensity was developed. Intermediate simulation outputs showed that the simulation agrees with its requirements. The model predicted relatively well the strength development following a bench press training (R2 = 0.893) and a squat training (R2 = 0.986) with the parameters estimated at the intensity of 78.9% RM compared to 83.3% RM (R2 = 0.342 and 0.924 respectively). Residual plots indicated that the simulated models of both exercise types show a lower bias with the parameters estimated at the lower intensity of exercise. With the selection of a variety of inputs, we found the simulated model works relatively well, consistent with established knowledge of muscular strength adaptation to resistance training. Conclusion: It was possible to predict muscular strength adaptation to resistance training through the development of a new training variables-based model. On the basis of training variables widely used in academic and industrial fields utilizing resistance training, the current model would have a practical use with a further refinement.

      • Application of Remote Environmental Monitoring Technique to Efficient Management of Beach Litter

        Seon Woong Jang,Seong Kyu Lee,Dae Hyun Kim,Yong Hyun Chung,Hong Joo Yoon 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.7

        This study aims to present a environmental monitoring tool which is using remote sensing technique to improve the understanding ability of beach litter condition. In order to grasp occurrence time of beach litter and its pollution area, we did the real-time monitoring with network camera. When confirm that there is a lot of litter occurred within the scope of camera, we use unmanned aerial vehicle to monitoring contaminated status of total beach. The area monitored was Heungnam Beach on Geoje Island, which is located in the south of Korea. During the monitoring period, the maximum beach litter was produced on 28th May 2013 (29.9 m2/580 pieces). In the future, the proposed monitoring method can be used in association with remote detection methods to determine the appropriate time for collecting litter and improve the effectiveness of beach litter management policies.

      • SCIESCOPUSKCI등재

        New Construction of Quaternary Low Correlation Zone Sequence Sets from Binary Low Correlation Zone Sequence Sets

        Jang, Ji-Woong,Kim, Sang-Hyo,No, Jong-Seon The Korea Institute of Information and Commucation 2010 Journal of communications and networks Vol.12 No.4

        In this paper, using binary (N, M, L, $\epsilon$) low correlation zone (LCZ) sequence sets, we construct new quaternary LCZ sequence sets with parameters (2N, 2M, L, $2{\epsilon}$). Binary LCZ sequences for the construction should have period $N\;{\equiv}\;3$ mod 4, L|N, and the balance property. The proposed method corresponds to a quaternary extension of the extended construction of binary LCZ sequence sets proposed by Kim, Jang, No, and Chung [1].

      • KCI등재

        Development and application of a technique for detecting beach litter using a Micro-Unmanned Aerial Vehicle

        Jang, Seon Woong,Kim, Dae Hyun,Chung, Yong Hyun,Seong, Ki Taek,Yoon, Hong-Joo The Korean Society of Remote Sensing 2014 大韓遠隔探査學會誌 Vol.30 No.3

        The aim of this study was to develop software for beach litter detection that includes a Graphical User Interface (GUI) and uses images taken by a micro-unmanned aerial vehicle. Videos were taken over Doomo pebble beach, Sogye pebble beach, and Heungnam sand beach on the northeast coast of Geojedo (Geoje Island), Korea. Still images of actual beach litter were obtained from the videos. The image processing involved preprocessing, morphological image processing, and image recognition. Comparison with still images showing beach litter demonstrated that the software could generally detect litter larger than 50 cm in size such as Styrofoam buoys and circular fish traps (excluding small pixel-size ropes). Combining the proposed method with the conventional surveying approach is expected to enhance the accuracy of beach litter detection. The new technique will also aid in predicting the amount of beach litter generated along coastlines, which is currently difficult to monitor.

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