• 제목/요약/키워드: F-Measure

검색결과 1,394건 처리시간 0.03초

청ㆍ중년층의 피로, 우울, 수면에 관한 연구 (Fatigue, Depression and Sleep in Young adult and Middle-Aged)

  • 김옥수;김애정;김선화;백성희;양경미
    • 대한간호학회지
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    • 제33권5호
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    • pp.618-624
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    • 2003
  • Purpose: The purpose of the study was to investigate fatigue, depression and sleep in young adult and middle-aged. Method: The convenient sample consisted of 415 subjects from 20 to 59 years old. Data were collected using a self-report questionnaire from July to October, 2001. The V AS-F and CES-D were utilized to measure the level of fatigue and depression. Sleep duration and sleep satisfaction were measured based on the subject's self-report. Result: The result of the study revealed that the level of fatigue and depression was higher among young adult than middle-aged. Considering age and gender, the level of fatigue and depression was higher among young adult women and middle-aged men. Depression and sleep satisfaction influenced on the fatigue. Conclusion: Health care providers need to concern about fatigue and depression in young adult women and middle-aged men. Especially, more concern and intervention programs are needed for young adult women and middle-aged men.

CNN-LSTM 신경망을 이용한 발화 분석 모델 (Utterance Intention Analysis Using CNN-LSTM Neural Network)

  • 김민경;김학수
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2017년도 제29회 한글 및 한국어 정보처리 학술대회
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    • pp.122-124
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    • 2017
  • 대화시스템이 적절한 응답을 제시해 주기 위해서는 사용자의 의도를 분석하는 것은 중요한 일이다. 사용자의 의도는 도메인에 독립적인 화행과 도메인에 종속적인 서술자의 쌍으로 나타낼 수 있다. 사용자 의도를 정확하게 분석하기 위해서는 화행과 서술자를 동시에 분석하고 대화의 문맥을 고려해야 한다. 본 논문에서 제안하는 모델은 합성곱 신경망에서 공유 계층을 이용하여 화행과 서술자간 상호작용이 반영된 발화 임베딩 모델을 학습한다. 그리고 순환 신경망을 통해 대화의 문맥을 반영하여 발화를 분석한다. 실험 결과 제안 모델이 이전 모델들 보다 높은 성능 (F1-measure로 화행에 대해 0.973, 서술자 0.919)을 보였다.

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MSC/NASTRAN 및 PCL을 이용한 구조물 내의 진동 파워 흐름 해석 기법 (A Technique for Calculations of Power Flow in Structures Using MSC/NASTRAN and PCL)

  • 홍진숙
    • 한국소음진동공학회논문집
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    • 제11권8호
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    • pp.303-313
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    • 2001
  • The identification of power flow in dynamically loaded structures Is essential in the analysis of structure-borne noise. However there are no general purpose tools to estimate powers flow. To make matters worse. It is very difficult to measure it. The power flow can be formulated in terms of balance forces(ELFORCE) at each element and velocities at the associated node obtained with MSC/NASTHAN. In this paper the procedure which is consist of the computations of the balance forces of al1 elements and the velocities at all nodes using MSC/NASTRAN. The calculations of the power f1ow at each element using PCL(PATRAN Command Language) and the Preparation of post -processes is set UP.

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1차원 압밀 F.D.M 해석의 최적도식(Scheme) 연구 (Study for the Pertinent Scheme of the One Dimensional FDM Analysis)

  • 김팔규;김지호;구기욱;류권일
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2000년도 봄 학술발표회 논문집
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    • pp.631-638
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    • 2000
  • Pioneering work by Terzaghi imparted scientific and mathematical bases to many aspects of this subject and many people use this theory to measure the consolidation settlement until now. In this paper, Finite Difference Methods for consolidation are considered. First, it is shown the stability criterion of Explicit scheme and the Crank-Nicolson scheme, although unconditionally stable in the mathematical sense, produces physically unrealistic solutions when the time step is large. it is also shown that The Fully Implicit scheme shows more satisfactory behavior, but is less accurate for small time steps. and then we need to decide what scheme is more proper to consolidation. The purpose of this paper is to suggest the pertinent scheme to consolidation.

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Protein Named Entity Identification Based on Probabilistic Features Derived from GENIA Corpus and Medical Text on the Web

  • Sumathipala, Sagara;Yamada, Koichi;Unehara, Muneyuki;Suzuki, Izumi
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제15권2호
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    • pp.111-120
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    • 2015
  • Protein named entity identification is one of the most essential and fundamental predecessor for extracting information about protein-protein interactions from biomedical literature. In this paper, we explore the use of abstracts of biomedical literature in MEDLINE for protein name identification and present the results of the conducted experiments. We present a robust and effective approach to classify biomedical named entities into protein and non-protein classes, based on a rich set of features: orthographic, keyword, morphological and newly introduced Protein-Score features. Our procedure shows significant performance in the experiments on GENIA corpus using Random Forest, achieving the highest values of precision 92.7%, recall 91.7%, and F-measure 92.2% for protein identification, while reducing the training and testing time significantly.

Measuring the matter energy density and Hubble parameter from Large Scale Structure

  • 이석천
    • 천문학회보
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    • 제38권2호
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    • pp.57.1-57.1
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    • 2013
  • We investigate the method to measure both the present value of the matter energy density contrast and the Hubble parameter directly from the measurement of the linear growth rate which is obtained from the large scale structure of the Universe. From this method, one can obtain the value of the nuisance cosmological parameter $\Omo$ (the present value of the matter energy density contrast) within 3% error if the growth rate measurement can be reached $z >3.5$. One can also investigate the evolution of the Hubble parameter without any prior on the value of $H_0$ (the current value of the Hubble parameter). Especially, estimating the Hubble parameter are insensitive to the errors on the measurement of the normalized growth rate $f \sigma_8$. However, this method requires the high $z$ ($z >3.5$) measurement of the growth rate in order to get the less than 5% errors on the measurements of $H(z)$ at $z \leq 1.2$ with the redshift bin $\Delta z = 0.2$. Thus, this will be suitable for the next generation large scale structure galaxy surveys like WFMOS and LSST.

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고해상도 단영상에서의 그림자 추출기법 비교 (A Comparartive Analysis on Techniques of Shadow Extraction in a Single High Resolution Image.)

  • 송우석;변영기;김용민;유기윤
    • 한국공간정보시스템학회:학술대회논문집
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    • 한국공간정보시스템학회 2007년도 GIS 공동춘계학술대회 논문집
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    • pp.127-132
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    • 2007
  • 위성영상 기술의 발달과 고해상도 위성영상의 해상도 규제가 완화됨에 따라 건물의 높이 정보를 획득하는데 있어 고해상도 위성영상의 그림자 정보를 이용하는 연구들이 활발히 수행되어지고 있다. 그림자 정보를 이용하여 건물 높이 정보를 획득하는 연구의 정확도를 높이기 위해서는 정확한 건물의 그림자 탐지가 선행되어야 한다. 따라서 본 논문에서는 단영상을 이용한 그림자 탐지기법인 임계값법(Thresholding), 영상분류법, 영역확장법(Region Growing)을 건물의 그림자 탐지에 적용하여 각 기법의 장단점과 정확도를 평가하였다. 영상에서 수동으로 건물의 그림자를 디지타이징한 참조 자료와 기법들을 적용하여 탐지한 결과 영상을 시각적으로 비교하였고, 오차행렬(Confusion Matrix)을 이용한 전체정확도(Accuracy), F-measure, AOR(Area Overlap Ratio)을 이용하여 정량적인 정확도평가를 수행하였다. 실험결과 영역확장법을 적용한 경우 시각적 정량적으로 가장 높은 정확도를 보였으며, 영상분류법을 적용한 경우 시각적으로는 임계값을 적용한 경우보다 좋은 결과를 보였으나 정량적으로는 가장 낮은 정확도를 보였다.

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ANALYTIC SMOOTHING EFFECT AND SINGLE POINT SINGULARITY FOR THE NONLINEAR SCHRODINGER EQUATIONS

  • Kato, Keiichi;Ogawa, Takayoshi
    • 대한수학회지
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    • 제37권6호
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    • pp.1071-1084
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    • 2000
  • We show that a weak solution of the Cauchy problem for he nonlinear Schrodinger equation, {i∂(sub)t u + ∂$^2$(sub)x u = f(u,u), t∈(-T,T), x∈R, u(0,x) = ø(x).} in the negative solbolev space H(sup)s has a smoothing effect up to real analyticity if the initial data only have a single point singularity such as the Dirac delta measure. It is shown that for H(sup)s (R)(s>-3/4) data satisfying the condition (※Equations, See Full-text) the solution is analytic in both space and time variable. The argument is based on the recent progress on the well-posedness result by Bourgain [2] and Kenig-Ponce-Vega [18] and previous work by Kato-Ogawa [12]. We give an improved new argument in the regularity argument.

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TPA 기법을 이용한 건물 내 설비 동하중 산정 (Estimation of the Dynamic Load of the Utility in Building by TPA Method)

  • 정민기;김용구;안상경;이상엽;이성수
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 추계학술대회논문집
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    • pp.452-457
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    • 2008
  • In this paper, the vibrations of floor systems of which buildings are under construction are studied by experimental and analysis method. The first step is to measure the operational response data and FRF at the supporting points of the utility and the second step is to calculate the dynamic load by TPA Method which provided by LMS VirtualLab System Analysis Module. The dynamics we used to identify is expressed by below equation; $$\{F_{oper}\}=[H]^{-1}\;{\cdot}\;\{{.. \atop x_{oper}}\}$$ Where, H(Transfer function between position of the force and response) and x(response) are measured by vibration test.

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결정트리를 이용한 중국어 복합명사 인식 (Recognition of Chinese Compound Noun Using Decision Tree)

  • 최정;김미영;김동일;이종혁
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (B)
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    • pp.495-497
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    • 2003
  • 중-한 기계번역 시스템에 있어서 중국어 복합명사를 정확하게 처리하는 것이 매우 중요하다. 본 논문에서는 결정트리를 이용하여 품사의미 애매성을 포함된 복합명사를 인식하는 방법을 제시하였다. 제안한 방법으로 구축된 규칙이 기존의 방법보다 f-measure가 10.9% 더 좋은 성능을 보여 주었다.

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