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Oh, Seongbin,Kim, Chul-Heung,Lee, Soochang,Kim, Jang Saeng,Lee, Jong-Ho IOP 2019 Nanotechnology Vol.30 No.43
<P>Brain-inspired analog neuromorphic systems based on the synaptic arrays have attracted large attention due to low-power computing. Spike-timing-dependent plasticity (STDP) algorithm is considered as one of the appropriate neuro-inspired techniques to be applied for on-chip learning. The aim of this study is to investigate the methodology of unsupervised STDP based learning in temporal encoding systems. The system-level simulation was performed based on the measurement results of thin-film transistor-type asymmetric floating-gate NOR flash memory. With proposed learning methods, 91.53% of recognition accuracy is obtained in inferencing MNIST standard dataset with 200 output neurons. Moreover, temporal encoding rules showed that the number of input pulses and the computing power can be compressed without significant loss of recognition accuracy compared to the conventional rate encoding scheme. In addition, temporal computing in a multi-layer network is suitable for learning data sequences, suggesting the possibility of applying to real-world tasks such as classifying direction of moving objects.</P>
Hong, Seongbin,Choi, Yunjin,Lee, Hun-Jae,Kim, So Hun,Oe, Younju,Lee, Seung Youn,Nam, Moonsuk,Kim, Yong Seong Korean Diabetes Association 2010 Korean diabetes journal Vol.34 No.1
<P><B>Background</B></P><P>Our aim was to assess the validity of a semi-quantitative food frequency questionnaire (FFQ) by comparison with the 3-day diet record (DR) in patients with type 2 diabetes.</P><P><B>Methods</B></P><P>Eighty five type 2 diabetic patients (aged 33 to 70 years) from the Korean National Diabetes Program (KNDP) completed 3-day DR and FFQ. The FFQ was designed to reflect the eating pattern of Korean type 2 diabetic patients, and was based on the 2003 Korean National Health and Nutrition Examination Survey. The FFQ consists of 85 food items and 12 food groups. The validity of FFQ was assessed by comparison with the 3-day DR.</P><P><B>Results</B></P><P>The mean age was 49 ± 10 years. Clinical characteristic including body weight, diabetic duration, and HbA1c were not different from the total cohort subjects (<I>n</I> = 1,478). There were no significant differences in the mean intake of protein, fat and calcium estimated by the FFQ and the 3-day DR. Energy and carbohydrate estimated by the FFQ were higher than those estimated by the 3-day DR. The correlation coefficient was highest for energy (<I>r</I> = 0.740; <I>P</I> < 0.00) and lowest for iron (<I>r</I> = 0.269; <I>P</I> < 0.05). The Kappa values for energy, carbohydrate, protein, fat and calcium were 0.54, 0.37, 0.36, 0.46, and 0.19, respectively.</P><P><B>Conclusion</B></P><P>The FFQ is a reasonable instrument for assessing the intake of most macronutrients in Korean type 2 diabetes, although careful consideration is required for the food groups and nutrients for which the FFQ had low validity.</P>
A New Self-management Scale with a Hierarchical Structure for Patients with Type 2 Diabetes
Eun-Hyun Lee,Young Whee Lee,Duckhee Chae,Kwan-WooLee,Jin Ook Chung,Seongbin Hong,김소헌,Eun Hee Kang 한국간호과학회 2020 Asian Nursing Research Vol.14 No.4
Purpose: The aims of this study were to develop a new instrument for measuring self-management witha hierarchical structure [the Diabetes Self-Management Scale (DSMS)] in patients with type 2 diabetes,and evaluate its psychometric properties. Method: The DSMS instrument was developed in three phases: (1) conceptualization and item generation;(2) content validity and pilot testing; and (3) field testing of its psychometric properties. A conveniencesample of 473 participants was recruited in three university hospitals and one regional healthcenter, South Korea. Results: Exploratory and confirmatory factor analyses yielded two second-order component modelsexplaining the common variance among six first-order factors. Principal axis factoring with a varimaxrotation accounted for 60.88% of the variance. Confirmatory factor analysis of the hierarchical structurerevealed the following fit indices: c2/df ¼ 1.373, standardized root-mean-square residual ¼ .050,goodness-of-fit index ¼ .935, incremental fit index ¼ .975, comparative fit index ¼ .974, and root-meansquareerror of approximation ¼ .039. All Cronbach' a values for internal consistency exceeded the criterionof .70. All of the intraclass correlation coefficients for testeretest reliability exceeded .70 exceptthat for the taking-medication subscale. The components of the DSMS were moderately correlated withthe comparator measures of self-efficacy and health literacy administered for convergent validity. Conclusion: The DSMS is a new instrument for measuring the complex nature of self-management inpatients with type 2 diabetes, comprising 17 items scored on a five-point Likert scale. The DSMS exhibitssatisfactory psychometric properties for five reliability and validity metrics, and so is a suitable instrumentto apply in both research and clinical practices.
그리드에서 서비스 기반 가상 탐색 시스템 설계 및 구현
이화민(HwaMin Lee),진성호(SungHo Chin),이종혁(JongHyuk Lee),이대원(DaeWon Lee),박성빈(Seongbin Park),유헌창(HeonChang Yu) 한국정보과학회 2008 정보과학회논문지 : 시스템 및 이론 Vol.35 No.5·6
가상 탐색은 대규모의 화학분자 데이타베이스의 화학분자 데이타들을 분자 다킹과 같은 컴퓨팅 기술을 이용하여 한정된 소규모의 화학분자만을 스크리닝하는 과정으로, 대규모 컴퓨팅 파워와 데이타 저장 용량을 요구하는 대표적인 대규모의 과학 어플리케이션이다. AutoDock, FlexX, Glide, DOCK, LigandFit, ViSION 등과 같은 기존의 분자 다킹 소프트웨어나 어플리케이션들은 슈퍼 컴퓨터, 단일 클러스터, 또는 단일 워크스테이션 등을 이용하여 작업을 수행하도록 개발되었다. 하지만 슈퍼컴퓨터를 이용한 가상 탐색은 너무 많은 비용이 든다는 문제점이 있고, 단일 클러스터나 워크스테이션을 이용한 가상 탐색은 오랜 수행 시간이 요구되는 문제점을 가지고 있다. 이에 본 논문에서는 대규모의 데이타 집약적인 연산을 지원하는 그리드 컴퓨팅 기술을 이용하는 서비스 기반 가상 탐색 시스템을 제안한다. 이를 위해 본 논문에서는 가상 탐색을 위한 3차원 화학 데이타베이스를 구축하였다. 그리고 효율적인 분자 다킹 서비스를 제공하기 위해 자원 브로커와 데이타 브로커를 설계하고 가상 탐색을 위한 다양한 서비스들을 제안하였다. 본 논문에서는 DOCK 5.0과 Globus 3.2를 이용하여 서비스 기반 가상 탐색 시스템을 구현하고 성능 평가를 실시하였다. 본 논문에서 구현한 서비스 기반 가상 탐색 시스템은 신약 개발이나 신소재 개발 과정에서 연구 개발 기간을 단축하고 개발 비용을 절감할 수 있다. A virtual screening is the process of reducing an unmanageable number of compounds to a limited number of compounds for the target of interest by means of computational techniques such as molecular docking. And it is one of a large-scale scientific application that requires large computing power and data storage capability. Previous applications or softwares for molecular docking such as AutoDock, FlexX, Glide, DOCK, LigandFit, ViSION were developed to be run on a supercomputer, a workstation, or a cluster-computer. However the virtual screening using a supercomputer has a problem that a supercomputer is very expensive and the virtual screening using a workstation or a clustercomputer requires a long execution time. Thus we propose a service-based virtual screening system using Grid computing technology which supports a large data intensive operation. We constructed 3-dimensional chemical molecular database for virtual screening. And we designed a resource broker and a data broker for supporting efficient molecular docking service and proposed various services for virtual screening. We implemented service based virtual screening system with DOCK 5.0 and Globus 3.2 toolkit. Our system can reduce a timeline and cost of drug or new material design.
그레이디언트 기반의 고속 눈 검출 및 적응형 눈 개폐 판단 알고리즘
이동규(Donggyu Lee),정진호(Jinho Jung),박성빈(Seongbin Park),이상민(Sangmin Lee),곽노윤(Noyoon Kwak) 한국HCI학회 2017 한국HCI학회 학술대회 Vol.2017 No.2
본 논문은 그레이디언트 기반의 고속 눈 검출 및 적응형 눈 개폐 판단 알고리즘에 관한 것이다. 제안된 방법은 눈 탐색 영역의 중앙에서부터 동심원 방향으로 확장해 가면서 제한된 화소 수만큼만 동공 후보영역으로 레이블링하고 이 영역에 국한해 내적 누적연산을 수행함으로써 그레이디언트 기반 눈 검출방법의 눈 검출 정확도와 연산 속도를 향상시키는 것이 특징이다. 시뮬레이션 결과에 따르면, 제안된 방법은 동공 추출 및 눈의 개폐 판단에 있어서 공히 높은 검출성능을 제공하는데, 특히 눈 개폐 판단에서 0.972 의 정확률과 0.981 의 재현율을 제공하는 바, 시선 추적응용 분야에서 유용하게 활용될 수 있을 것이다.