• 제목/요약/키워드: Domain Model

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단일 훈련 샘플만을 활용하는 준-지도학습 심층 도메인 적응 기반 얼굴인식 기술 개발 (Development of Semi-Supervised Deep Domain Adaptation Based Face Recognition Using Only a Single Training Sample)

  • 김경태;최재영
    • 한국멀티미디어학회논문지
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    • 제25권10호
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    • pp.1375-1385
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    • 2022
  • In this paper, we propose a semi-supervised domain adaptation solution to deal with practical face recognition (FR) scenarios where a single face image for each target identity (to be recognized) is only available in the training phase. Main goal of the proposed method is to reduce the discrepancy between the target and the source domain face images, which ultimately improves FR performances. The proposed method is based on the Domain Adatation network (DAN) using an MMD loss function to reduce the discrepancy between domains. In order to train more effectively, we develop a novel loss function learning strategy in which MMD loss and cross-entropy loss functions are adopted by using different weights according to the progress of each epoch during the learning. The proposed weight adoptation focuses on the training of the source domain in the initial learning phase to learn facial feature information such as eyes, nose, and mouth. After the initial learning is completed, the resulting feature information is used to training a deep network using the target domain images. To evaluate the effectiveness of the proposed method, FR performances were evaluated with pretrained model trained only with CASIA-webface (source images) and fine-tuned model trained only with FERET's gallery (target images) under the same FR scenarios. The experimental results showed that the proposed semi-supervised domain adaptation can be improved by 24.78% compared to the pre-trained model and 28.42% compared to the fine-tuned model. In addition, the proposed method outperformed other state-of-the-arts domain adaptation approaches by 9.41%.

비포화 흐름에서 모세관 이력현상 모형의 고찰 : State of The Art (Capillary Hysteresis Model in Unsaturated Flow : State of The Art)

  • 박창근;선우중호
    • 물과 미래
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    • 제25권3호
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    • pp.65-77
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    • 1992
  • 본 연구의 목적은 기존에 발표된 이력현상 모형들을 분류하여 각 모형들의 특징을 비교하고 새로운 이력현상 모형의 형태에 대해 논하고자 한다. 기존에 발표된 이력현상 모형은 내삽모형, 축척모형과 영역모형으로 대별되며, 그중 영역모형만이 이론적 배경을 가지고 있다. 모형의 보정을 위해 한 개의 주곡선의 자료가 필요한 기존의 모형들의 타당성을 검증하기 위하야 Rubicon Sandy Loam과 Dune Sand의 실측자료와 비교하여 본 겨롸, 이들 모형들은 실측자료를 잘 모사할 수 없음을 알 수 있었다. 따라서 새로운 모형의 형태의 가능성을 종속여역모형에서 찾을수 있으며, 종속영역모형주에서도 순수한 매체에 대해 공극으로 공기의 진입에 대한 이웃하는 공극들의 방해효과의 정도를 설명하는 가중치를 도입한 모형(Model III-1, Mualem, 1984)을 단순화시키기 위해 이 모형에 적절한 가정을 부가한 형태의 모형이 새로운 형태의 모형에 대한 하나의 대안이 될 수 있음을 본 연구는 제시하고 있다.

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신경망을 이용한 영역 행위 예측 (Prediction of Domain Action Using a Neural Network)

  • 이현정;서정연;김학수
    • 인지과학
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    • 제18권2호
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    • pp.179-191
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    • 2007
  • 목적 지향 대화에서 사용자의 의도는 화행과 개념열의 쌍으로 구성된 영역행위로 표현될 수 있다. 사용자 발화에 대한 영역행위 예측은 음성 인식 오류를 보정하는데 유용하며, 시스템 발화에 대한 영역행위 예측은 유연한 응답 생성에 유용하다. 본 논문에서는 신경망을 이용하여 영역행위를 예측하는 모델을 제안한다. 제안 모델은 대화 이력 벡터와 현재 영역행위를 신경망의 입력으로 사용하여 다음 영역행위를 예측한다. 실험 결과, 제안 모델은 화행 예측과 개념열 예측에서 각각 80.02%, 82.09%의 정확률을 보였다.

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A Structure of Domain Ontologies and their Mathematical Models

  • Kleshchev, Alexander S.;Artemjeva, Irene L.
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.410-420
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    • 2001
  • A primitive conceptualization is defined as the set of all intended situations. A non-primitive conceptualization is defined as the set of all the pairs every of which consists of an intended knowledge system and the set of all the situations admitted by the knowledge system. The reality of a domain is considered as the set of all the situation which have ever taken place in the past, are taking place now and will take place in the future. A conceptualization is defined as precise if the set of intended situations is equal to the domain reality. The representation of various elements of a domain ontology in a model of the ontology is considered. These elements are terms for situation description and situations themselves, terms for knowledge description and knowledge systems themselves, mathematical terms and constructions, auxiliary terms and ontological agreements. It has been shown that any ontology representing a conceptualization has to be non-primitive if either (1) a conceptualization contains intended situations of different structures, or (2) a conceptualization contains concepts designated by terms for knowledge description, or (3) a conceptualization contains concept classes and determines properties of the concepts belonging to these classes, but the concepts themselves are introduced by domain knowledge, or (4) some restrictions on meanings of terms for situation description in a conceptualization depend on the meaning of terms for knowledge description.

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학습목표영역에 따른 이러닝 컨텐츠 전달 유형별 학습 효과성과 선호도에 대한 연구 (A Study on Effectiveness and Preference of e-Learning Contents Delivery Types in Learning Domains)

  • 유병민;이병준
    • 농촌지도와개발
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    • 제21권4호
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    • pp.1029-1060
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    • 2014
  • 본 연구는 이러닝 환경에서 학습 목표 영역별 콘텐츠 전달 전략에 따른 학습효과와 선호도의 차이 분석을 목적으로 수행되었다. 이를 위해 182명의 고등학교 재학생을 대상으로 세가지 학습 목표영역과 두가지 이러닝 콘텐츠 전달 전략을 제작하여 이러닝 수업을 실시 후 학습효과와 선호도를 측정하였다. 연구결과 인지적 영역과 심동적 영역에서는 이러닝의 전달 전략에 따라 서로 다른 학습효과를 나타냈다. 인지적 영역에서는 학습자 중심형 전달전략이 교수자 중심 전달전략보다 높은 학습효과를 보였으며 심동적 영역에서는 반대로 교수자 중심 전달이 더 높은 학습효과를 나타냈다. 선호도 부분에서도 인지적 영역의 경우 학습자 중심 콘텐츠 전달방식이 교수자 중심보다 학생들이 선호하는 것으로 나타났으며 심동적 영역의 경우는 교수자 중심의 콘텐츠 전달 방식을 더욱 선호하는 것으로 나타났다. 연구결과는 이러닝 설계 시 학습효과와 선호도를 증진시키기 위해서는 프로그램의 학습목표 영역을 고려하여야 한다는 것을 보여주고 있다.

Capillary Hysteresis Model in Unsaturated Flow : State of the Art

  • Park, Chan-Kun;Sonu, Jun-Ho
    • Korean Journal of Hydrosciences
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    • 제4권
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    • pp.33-49
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    • 1993
  • The Purpose of this study is to classify existing hysteresis models and to discuss a possibility of a new type of the hysteresis model. The existing hysteresis models are classified into three types: the interpolation model, the scaling model and the domain model, of which only domain model is to simulate hysteresis curves based on the theoretical approach, It is useful to develop a hysteresis model that requires only one branch of hysteresis curves for the model calibration because obtaining hysteresis curves by experiments is expensive and time-concept by many investigators, however their models are not successful to accurately simulate real data of Rubicon Sandy Loam and Dune Sand. There is a possibility that a new model is based on the dependent domain concept considering the weighting factor, $P_a$($\theta$), which accounts for the pore blockage effect against air entry. Conclusively, a new model where the weighting factor $P_a$($\theta$) in Model III-1 (Mualem, 1984) reduces to a known variable through an appropriate method is an alternative model which required only one branch of main curves for the model calibration.

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An Intuitionistic Fuzzy Approach to Classify the User Based on an Assessment of the Learner's Knowledge Level in E-Learning Decision-Making

  • Goyal, Mukta;Yadav, Divakar;Tripathi, Alka
    • Journal of Information Processing Systems
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    • 제13권1호
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    • pp.57-67
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    • 2017
  • In this paper, Atanassov's intuitionistic fuzzy set theory is used to handle the uncertainty of students' knowledgeon domain concepts in an E-learning system. Their knowledge on these domain concepts has been collected from tests that were conducted during their learning phase. Atanassov's intuitionistic fuzzy user model is proposed to deal with vagueness in the user's knowledge description in domain concepts. The user model uses Atanassov's intuitionistic fuzzy sets for knowledge representation and linguistic rules for updating the user model. The scores obtained by each student were collected in this model and the decision about the students' knowledge acquisition for each concept whether completely learned, completely known, partially known or completely unknown were placed into the information table. Finally, it has been found that the proposed scheme is more appropriate than the fuzzy scheme.

WRF 모형에서 한반도 여름철 강수 예측에 모의영역이 미치는 영향 (Effect of Model Domain on Summer Precipitation Predictions over the Korean Peninsula in WRF Model)

  • 김형규;이혜영;김주완;이승우;부경온;이송이
    • 대기
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    • 제31권1호
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    • pp.17-28
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    • 2021
  • We investigated the impact of domain size on the simulated summer precipitation over the Korean Peninsula using the Weather Research and Forecasting (WRF) model. Two different domains are integrated up to 72-hours from 29 June 2017 to 28 July 2017 when the Changma front is active. The domain sizes are adopted from previous RDAPS (Regional Data Assimilation and Prediction System) and current LDAPS (Local Data Assimilation and Prediction System) operated by the Korea Meteorological Administration, while other model configurations are fixed identically. We found that the larger domain size showed better prediction skills, especially in precipitation forecast performance. This performance improvement is particularly noticeable over the central region of the Korean Peninsula. Comparisons of physical aspects of each variable revealed that the inflow of moisture flux from the East China Sea was well reproduced in the experiment with a large model domain due to a more realistic North Pacific high compared to the small domain experiment. These results suggest that the North Pacific anticyclone could be an important factor for the precipitation forecast during the summer-time over the Korean Peninsula.

Cole-Cole 모델에 대한 시간영역 유도분극 반응의 계산 (Computation of the Time-domain Induced Polarization Response Based on Cole-Cole Model)

  • 김연정;조인기
    • 지구물리와물리탐사
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    • 제24권4호
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    • pp.158-163
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    • 2021
  • Cole-Cole 모델에 대한 주파수영역 유도분극 반응은 닫힌 형태의 간단한 수식으로 정의된다. 그러나 시간영역 유도분극 반응은 닫힌 형태로 표현되지 않아 Cole-Cole 모델이나 다른 완화모델에 대한 반응을 계산하는 것은 쉽지 않다. 이 논문에서는 Cole-Cole 모델에 대한 시간영역 유도분극 반응을 계산하는 세 가지 방법, 즉 급수 전개법, 선형 필터링법 및 푸리에 변환법을 비교 분석하였다. 수치 실험 결과 급수 전개법은 안정적인 결과를 제시하지 못할 뿐 아니라 수렴 속도가 느리다는 문제점이 있다. 선형 필터링법은 후기 시간에서 만족할 만한 정밀도를 보이지 못 하였다. 푸리에 변환법은 계산시간이 더 많이 걸린다는 단점이 있으나 다른 방법에 비하여 보다 안정적인 것으로 확인되었다.

Time domain and frequency domain interpretation of safety diagnosis for concrete structure

  • Suh Baeksoo;An Jehun;Kim Hyoungjun;Kim Yongin
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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    • pp.464-469
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    • 2003
  • The traditional and still most widely used, test methods for concrete structures are destructive method, such as coring, drilling or otherwise removing part of the structure to permit visual inspection of the interior. While these methods are highly reliable, they are also time consuming and expensive, and the defects they leave behind often become focal point for deterioration. In this study, tomography by theoretical inversion method in case of elastic wave using impact-echo method among concrete non-destruction test method was made. Taken model experiments are theoretical inversion method and time domain and frequency domain test on pier test model at laboratory level. Also experiment concerning frequency domain on 3 kinds of tunnel model with I-dimension form was carried out.

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