• 제목/요약/키워드: proportional similarity

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인듀서의 크기가 터보펌프의 흡입성능 상사에 미치는 영향에 관한 연구 (Put Effect of the inducer scale on the suction performance similarity of a turbopump)

  • 강병윤;강신형
    • 한국유체기계학회 논문집
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    • 제17권4호
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    • pp.47-52
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    • 2014
  • An inducer is forward-attached to an impeller to improve the suction performance. This paper described the experimental and numerical investigations on the concept of NPSH similarity about the inducer scale. As Reynolds number decreased for the same scale inducer, the hydraulic performance is slightly reduced because of the viscosity. The suction performance similarity is in good agreement. For different scale inducers, the NPSH similarity did not follow the conventional rule which is proportional to the square of the inducer diameter. A cavity of two times scale inducer grows faster under cavitation inception, and the head is more drop as the fluid passes blades. Because of the simplified cavitation model and vapor pressure, the NPSH similarity dose not have an accuracy. This study suggested an empirical formula for the NPSH similarity.

A Bit Allocation Method Based on Proportional-Integral-Derivative Algorithm for 3DTV

  • Yan, Tao;Ra, In-Ho;Liu, Deyang;Zhang, Qian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권5호
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    • pp.1728-1743
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    • 2021
  • Three-dimensional (3D) video scenes are complex and difficult to control, especially when scene switching occurs. In this paper, we propose two algorithms based on an incremental proportional-integral-derivative (PID) algorithm and a similarity analysis between views to improve the method of bit allocation for multi-view high efficiency video coding (MV-HEVC). Firstly, an incremental PID algorithm is introduced to control the buffer "liquid level" to reduce the negative impact on the target bit allocation of the view layer and frame layer owing to the fluctuation of the buffer "liquid level". Then, using the image similarity between views is used to establish, a bit allocation calculation model for the multi-view video main viewpoint and non-main viewpoint is established. Then, a bit allocation calculation method based on hierarchical B frames is proposed. Experimental simulation results verify that the algorithm ensures a smooth transition of image quality while increasing the coding efficiency, and the PSNR increases by 0.03 to 0.82dB while not significantly increasing the calculation complexity.

중학교 교육과정에서 비례적 사고가 필요한 수학 개념 분석 (An analysis on mathematical concepts for proportional reasoning in the middle school mathematics curriculum)

  • 권오남;박정숙;박지현
    • 한국수학교육학회지시리즈A:수학교육
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    • 제46권3호
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    • pp.315-329
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    • 2007
  • The concepts of ratio, rate, and proportion are used in everyday life and are also applied to many disciplines such as mathematics and science. Proportional reasoning is known as one of the pivotal ideas in school mathematics because it links elementary ideas to deeper concepts of mathematics and science. However, previous research has shown that it is difficult for students to recognize the proportionality in contextualized situations. The purpose of this study is to understand how the mathematical concept in the middle school mathematics curriculum is connected with ratio, rate, and proportion and to investigate the characteristics of proportional reasoning through analyzing the concept including ratio, rate, and proportion on the middle school mathematics curriculum. This study also examines mathematical concepts (direct proportion, slope, and similarity) presented in a middle school textbook by exploring diverse interpretations among ratio, rate, and proportion and by comparing findings from literature on proportional reasoning. Our textbook analysis indicated that mechanical formal were emphasized in problems connected with ratio, rate, and proportion. Also, there were limited contextualizations of problems and tasks in the textbook so that it might not be enough to develop students' proportional reasoning.

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A Study on Decision Tree for Multiple Binary Responses

  • Lee, Seong-Keon
    • Communications for Statistical Applications and Methods
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    • 제10권3호
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    • pp.971-980
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    • 2003
  • The tree method can be extended to multivariate responses, such as repeated measure and longitudinal data, by modifying the split function so as to accommodate multiple responses. Recently, some decision trees for multiple responses have been constructed by Segal (1992) and Zhang (1998). Segal suggested a tree can analyze continuous longitudinal response using Mahalanobis distance for within node homogeneity measures and Zhang suggested a tree can analyze multiple binary responses using generalized entropy criterion which is proportional to maximum likelihood of joint distribution of multiple binary responses. In this paper, we will modify CART procedure and suggest a new tree-based method that can analyze multiple binary responses using similarity measures.

Effect of variable viscosity on combined forced and free convection boundary-layer flow over a horizontal plate with blowing or suction

  • Mahmoud, Mostafa A.A.
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제11권1호
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    • pp.57-70
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    • 2007
  • The effects of variable viscosity, blowing or suction on mixed convection flow of a viscous incompressible fluid past a semi-infinite horizontal flat plate aligned parallel to a uniform free stream in the presence of the wall temperature distribution inversely proportional to the square root of the distance from the leading edge have been investigated. The equations governing the flow are transformed into a system of coupled non-linear ordinary differential equations by using similarity variables. The similarity equations have been solved numerically. The effect of the viscosity temperature parameter, the buoyancy parameter and the blowing or suction parameter on the velocity and temperature profiles as well as on the skin-friction coefficient and the Nusselt number are discussed.

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의원간 유사성에 기반한 18대 국회의원 투표행태 분석 (Analysis on the Voting Activities of the 18th National Assembly of South Korea based on the Member-level Similarity)

  • 강필성;박영준;조수곤;김성범
    • 대한산업공학회지
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    • 제40권1호
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    • pp.60-83
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    • 2014
  • This paper aims to propose a research framework of analyzing voting activities of a national assembly on the basis of member-level voting similarity and provides a case study in the $18^{th}$ national assembly in South Korea. First, we propose a bill contentiousness measure that gives a higher score to bills for which ayes and noes are more diversified in both conservative and progressive parties. Based on the bill contentiousness measure, the top 5%, 10%, and 20% bills were identified and used for further analyses. Moreover, we propose a member-level voting similarity measure that compensates for the lower frequency of noes, and evaluate the pair-wise voting similarities for all lawmakers. Then, voting similarity differences to the affiliated/non-affiliated parties were analyzed for the members in the two major parties according to some internal/external key factors. Finally, similar voting groups were identified and their affiliations were investigated based on the multi-dimensional scaling (MDS) and network analysis techniques. A case study on the $18^{th}$ national assembly of South Korea showed that the cohesion of the members in the 'Hanara' party becomes higher than that of the 'Minju' party as the bill contentiousness increases, whereas the number of elected, local constituency versus proportional representation, and the competition intensity in a local constituency were found to be partially influential to the voting activities of lawmakers. In addition, MDS and network analysis showed that there is a distinctive difference between two parties when all bills are analyzed, whereas the diversity of parties increases in the same group as the bill contentiousness increases.

포르만트 주파수를 이용한 한국어 음성의 자동인식에 관한 연구

  • 김순협;박규태
    • 한국통신학회:학술대회논문집
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    • 한국통신학회 1983년도 춘계학술발표회논문집
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    • pp.16-17
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    • 1983
  • In Speech signal processing, ARMA spectral estimation method is used. It has been demonstrated that the ARMA model provides better spectral estimation then the more specialized AR model and MA model. Dynamic program is used to achieve time algnment. Speech sound similarity is defined to be proportional to the distance seperating to sound in a vector space defined by ARMA model. AS a result, the recognition rate of 97.3% for three speaker is obtained.

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광역주파수 음향반사자료의 K-L 변환을 이용한 해저면 분류: 지질음향 모델링을 위한 유용한 방법 (Seabed Classification Using the K-L (Karhunen-Lo$\grave{e}$ve) Transform of Chirp Acoustic Profiling Data: An Effective Approach to Geoacoustic Modeling)

  • 장재경;김한준;주형태;석봉출;박건태;유해수;양승진
    • 한국해양학회지:바다
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    • 제3권3호
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    • pp.158-164
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    • 1998
  • 광대역 주파수변조(wide-band FM) 선호를 음원으로 사용하는 Chirp sonar 시스템을 이용하여 획득한 음향반사 자료의 통계학적 처리를 통하여 해저면을 분류하였다. 음향학적 분류변수로서 Chirp 자료의 K-L(Karhunen-Lo$\grave{e}$ve) 변환을 이용하여 계산된 유사도 지수(similarity index)를 고안하였다. 유사도 지수는 근접한 트레이스 자료들에 포함된 공통된 반사신호성분의 양을 지시하므로 해저면 퇴적물의 성분에 따른 음향학적 거침도를 반영한다고 할 수 있다. 유사도 지수는 0에서 1사이의 값을 가지며, 각기 다른 퇴적상을 나타내는 지점에서 획득된 Chirp 자료를 처리한 결과, 퇴적물의 성분이 균질할수록, 입자의 크기가 작을수록, 그리고 연한 퇴적층일수록 증가하는 것을 관측할 수 있었다. 실제의 응용 예로서 제주도 성산포 해역을 이 방법으로 분류하였으며, 그 결과를 검증하기 위해 동일해역에서 획득된 side-scan sonar 자료 및 퇴적물로부터 해석된 해저면의 퇴적상과 비교하였다. 그 결과 음향자료의 유사도 지수에 의해 분류된 해저면은 실제의 퇴적상을 매우 잘 반영할 뿐만 아니라 퇴적물 성분의 특성에 따른 음향반응을 더욱 세밀히 나타내었다. 그러므로 이러한 방법은 음향자료로부터 직접 해저면을 분류하는 지질음향 모델링으로서 매우 효과적이다.

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연기선단의 전파속도 모델에 관한 연구 (Modeling of the Velocity of the Ceiling Jet Front)

  • 김명배;한용식
    • 한국화재소방학회논문지
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    • 제15권2호
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    • pp.91-95
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    • 2001
  • 복도나 터널과 같이 특정한 방향성을 가지는 공간에서는 천장아래에 형성되는 연기선단의 성상해석이 학술적인 면에서나 실용적인 면에서도 매우 중요하다. 본 연구는 2차원 축대칭 천장제트 선단의 전파속도를 모델화하기 위하여 상사해석 및 차원해석을 수행하였다. 실험에서는 질소와 헬륨의 혼합가스를 원형 천장에 노즐로 분출시켜 화재로 인한 연기를 구현하였으며 속도측정을 위하여 레이저와 고속카메라를 이용한 가시화 기법이 사용되었다.

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PMCN: Combining PDF-modified Similarity and Complex Network in Multi-document Summarization

  • Tu, Yi-Ning;Hsu, Wei-Tse
    • International Journal of Knowledge Content Development & Technology
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    • 제9권3호
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    • pp.23-41
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    • 2019
  • This study combines the concept of degree centrality in complex network with the Term Frequency $^*$ Proportional Document Frequency ($TF^*PDF$) algorithm; the combined method, called PMCN (PDF-Modified similarity and Complex Network), constructs relationship networks among sentences for writing news summaries. The PMCN method is a multi-document summarization extension of the ideas of Bun and Ishizuka (2002), who first published the $TF^*PDF$ algorithm for detecting hot topics. In their $TF^*PDF$ algorithm, Bun and Ishizuka defined the publisher of a news item as its channel. If the PDF weight of a term is higher than the weights of other terms, then the term is hotter than the other terms. However, this study attempts to develop summaries for news items. Because the $TF^*PDF$ algorithm summarizes daily news, PMCN replaces the concept of "channel" with "the date of the news event", and uses the resulting chronicle ordering for a multi-document summarization algorithm, of which the F-measure scores were 0.042 and 0.051 higher than LexRank for the famous d30001t and d30003t tasks, respectively.