• 제목/요약/키워드: combination training

검색결과 406건 처리시간 0.028초

Conditional bootstrap confidence intervals for classification error rate when a block of observations is missing

  • Chung, Hie-Choon;Han, Chien-Pai
    • Journal of the Korean Data and Information Science Society
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    • 제24권1호
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    • pp.189-200
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    • 2013
  • In this paper, it will be assumed that there are two distinct populations which are multivariate normal with equal covariance matrix. We also assume that the two populations are equally likely and the costs of misclassification are equal. The classification rule depends on the situation whether the training samples include missing values or not. We consider the conditional bootstrap confidence intervals for classification error rate when a block of observation is missing.

PCA 퍼지 혼합 모델을 이용한 화자 식별 (Speaker Identification Using PCA Fuzzy Mixture Model)

  • 이기용
    • 음성과학
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    • 제10권4호
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    • pp.149-157
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    • 2003
  • In this paper, we proposed the principal component analysis (PCA) fuzzy mixture model for speaker identification. A PCA fuzzy mixture model is derived from the combination of the PCA and the fuzzy version of mixture model with diagonal covariance matrices. In this method, the feature vectors are first transformed by each speaker's PCA transformation matrix to reduce the correlation among the elements. Then, the fuzzy mixture model for speaker is obtained from these transformed feature vectors with reduced dimensions. The orthogonal Gaussian Mixture Model (GMM) can be derived as a special case of PCA fuzzy mixture model. In our experiments, with having the number of mixtures equal, the proposed method requires less training time and less storage as well as shows better speaker identification rate compared to the conventional GMM. Also, the proposed one shows equal or better identification performance than the orthogonal GMM does.

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Europass and the CEFR: Implications for Language Teaching in Korea

  • Finch, Andrew Edward
    • 영어어문교육
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    • 제15권2호
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    • pp.71-92
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    • 2009
  • Europass was established in 2005 by the European Parliament and the Council of Europe as a single framework for language qualifications and competences, helping citizens to gain accreditation throughout the European Community. In addition, the 1996 Common European Framework of Reference for Languages: Learning, Teaching, Assessment (CEFR) provides a common basis for language syllabi, curriculum guidelines, examination, and textbooks in Europe. This framework describes the required knowledge and skills, the cultural context, and the levels of proficiency that learners should achieve. In combination, Europass and the CEFR provide employers and educational institutes with internationally recognized standards. This paper proposes that current trends such as globalization and international mobility require a similar approach to accreditation in Asia. As jobs and workers become independent of national boundaries and restrictions, it becomes necessary to educate students as multilingual world citizens, using standards that are accepted around the world. It is suggested, therefore, that assessment models such as Europass and the CEFR, along with successful language teaching models in Europe and Canada, present opportunities of adaptation for the Korean education system. Finally, rigorous teacher training to internationally recognized levels is recommended, if Korea is to produce a workforce of highly-skilled, plurilingual world citizens.

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Logical Combinations of Neural Networks

  • Pradittasnee, Lapas;Thammano, Arit;Noppanakeepong, Suthichai
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.1053-1056
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    • 2000
  • In general, neural networks based modeling involves trying multiple networks with different architectures and/or training parameters in order to achieve the best accuracy. Only the single best-trained neural network is chosen, while the rest are discarded. However, using only the single best network may never give the best solution in every situation. Many researchers, therefore, propose methods to improve the accuracy of neural networks based modeling. In this paper, the idea of the logical combinations of neural networks is proposed and discussed in detail. The logical combination is constructed by combining the corresponding outputs of the neural networks with the logical “And” node. The experimental results based on simulated data show that the modeling accuracy is significantly improved when compared to using only the single best-trained neural network.

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아파트 건설공사 현장 안전관리 인력 체계 효율성 개선에 관한 연구 (A Study on the Efficiency Improvement of the Safety Management Personnel System in Apartment Construction Site)

  • 유희재;유용태;강경식
    • 대한안전경영과학회지
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    • 제19권1호
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    • pp.87-94
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    • 2017
  • In construction work, safety accidents often occur in combination with unstable physical and human conditions during preparation and execution of work. In Korea, the accident rate is higher to that of any country in the world. Therefore, it is necessary to take measures by fundamental prescription. In this paper, in the case of construction safety management, we tried to find a reasonable alternative through a questionnaire survey to apply to subcontracting and small-scale construction. In conclusion, workers who are well aware of the task could be able to reduce the accident rate by deploying them as safety management officers after receiving the training.

High Resolution Linear Graphs : Graphical Aids for Designing Off-Line Process Control)

  • Lee, Sang-Heon
    • 한국국방경영분석학회지
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    • 제27권1호
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    • pp.73-88
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    • 2001
  • Designing high quality products and processes at a low cost is central technological and economic challenge to the engineer. The combination of engineering concepts and statistical implementations offered by Taguchi\`s off-line design technique has proven t be invaluable. By examining some deficiencies in designs from the Taguchi\`s highly fractional, orthogonal main effect plan based on orthogonal arrays, alternative method is proposed. The maximum resolution or the minimum aberration criterion is commonly used for selecting 2$^{n-m}$ fractional designs. We present new high resolution (low aberration) linear graphs to simplify the complexity of selecting designs with desirable statistical properties. The new linear graphs approach shows a substantial improvement over Taguchi\`s linear graphs and other related graphical methods for planning experiment. The new set of linear graphs will allow the experimenter to maintain the simple approach suggested by Taguchi while obtaining the best statistical properties of the resulting design such as minimum aberration as a by-product without dependency on complicated computational algorithm or additional statistical training.g.

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Overview of Fisheries Industry in Tanzania

  • Alfanies, Margaret George;Nyambika, Seif Bakari
    • 한국해양바이오학회지
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    • 제3권1호
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    • pp.48-53
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    • 2008
  • Tanzania is a coastal state on the western Indian Ocean in Africa. In an artisanal or small scale fishery, the combination of large numbers of fishers and landing places, mixed gears and migrant fishers makes fisheries management an often complex task. Lack of capital, low level of technology, poverty and high cost of transport are major socio-economic problems in Tanzanian fisheries. The combined approach of community-based management and provision of education and training for extension workers and fishers themselves are required. It is also necessary to build the capacity of fisheries institutions to meet the human resources development challenge.

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수학.정보영재 통합운영 교수-학습모형에 관한 연구 (A Study of the Teaching-learning Model of the Combination Training of Mathematics-information Gifted Students)

  • 이석주;김의정
    • 한국정보통신학회논문지
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    • 제12권3호
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    • pp.596-601
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    • 2008
  • 본 연구에서는 지금까지 국내 외에서 개발된 영재교육과정 모형 중 가장 대표적인 7가지 모형을 알아보고 통합 선발된 수학 정보영재 학생들에게 공통적으로 적용할 수 있는 통합된 교수-학습 모형을 제안하고자 한다. 교수-학습 모형은 렌줄리의 삼부심화 학습모형을 근거로 하여 개발하였다.

Assessing the ductility of moment frames utilizing genetic algorithm and artificial neural networks

  • Mazloom, Moosa;Afkar, Hossein;Pourhaji, Pardis
    • Structural Monitoring and Maintenance
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    • 제5권4호
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    • pp.445-461
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    • 2018
  • The aim of this research is to evaluate the effects of the number of spans, height of spans, number of floors, height of floors, column to beam moment of inertia ratio, and plastic joints distance of beams from columns on the ductility of moment frames. For the facility in controlling the ductility of the frames, this paper offers a simple relation instead of complex equations of different codes. For this purpose, 500 analyzed and designed frames were randomly selected, and their ductility was calculated by the use of nonlinear static analysis. The results cleared that the column-to-beam moment of inertia ratio had the highest effect on ductility, and if this relation was more than 2.8, there would be no need for using the complex relations of codes for controlling the ductility of frames. Finally, the ductility of the most frames of this research could be estimated by using the combination of genetic algorithm and artificial neural networks properly.

S4A를 이용한 융합형 교육용 콘텐츠 개발 (Convergence Education Content Development Utilizing S4A)

  • 김혜성;이형옥
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2016년도 추계학술대회
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    • pp.693-697
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    • 2016
  • 현재 SW교육에 자주 다루는 주제는 GUI 프로그래밍 언어인 '스크래치'와 마이크로컨트롤러 보드에 오픈 소스 컴퓨팅 플랫폼을 더한 '아두이노'이다. S4A란 Scratch For Arduino라는 뜻으로 스크래치로 아두이노를 제어하는 프로그램을 의미한다. 본 연구에서는 S4A를 이용하여 아두이노에서 이용되는 센서들을 복합적으로 이용하고, 다양한 도구를 사용하여 구성한 게임 형태의 교육 콘텐츠를 개발하였다.

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