• 제목/요약/키워드: Consistent

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Subjective Explanation of Pictures Considering Feelings of Objects in Pictures

  • Kato, Shigeru;Onisawa, Takehisa
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2399-2404
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    • 2003
  • This paper aims at the construction of the system that outputs subjective and consistent linguistic expressions of some pictures. Input to this system is information on some pictures and this system outputs explanations of basic contents of pictures and consistent connective relationships between pictures. The present system consists of the explaining part of basic contents and the explaining part of connective relationship. The former part explains behaviors and feelings of objects drawn in pictures. The latter one explains the matters not drawn in pictures by guessing them from pictures. This part considers consistency of connective relationships. From the viewpoint that the interpretation of pictures is dependent on individual subjectivity, the present system has individual database for individual subjectivity. In order to confirm the usefulness of the present approach, simulation experiments are performed. In the experiments the individual databases of subjects are constructed and the outputs of the system are evaluated. Experiment results show that good evaluation is obtained.

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A FAST KACZMARZ-KOVARIK ALGORITHM FOR CONSISTENT LEAST-SQUARES PROBLEMS

  • Popa, Constantin
    • Journal of applied mathematics & informatics
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    • 제8권1호
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    • pp.9-26
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    • 2001
  • In some previous papers the author extended two algorithms proposed by Z. Kovarik for approximate orthogonalization of a finite set of linearly independent vectors from a Hibert space, to the case when the vectors are rows (not necessary linearly independent) of an arbitrary rectangular matrix. In this paper we describe combinations between these two methods and the classical Kaczmarz’s iteration. We prove that, in the case of a consistent least-squares problem, the new algorithms so obtained converge ti any of its solutions (depending on the initial approximation). The numerical experiments described in the last section of the paper on a problem obtained after the discretization of a first kind integral equation ilustrate the fast convergence of the new algorithms. AMS Mathematics Subject Classification : 65F10, 65F20.

Consistent Triplets of Candidate Paralogs by Graph Clustering

  • Yun, Hwa-Seob;Muchnik, Ilya;Kulikowski, Casimir
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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    • pp.156-160
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    • 2005
  • We introduce a fully automatic clustering method to classier candidate paralog clusters from a set of protein sequences within one genome. A set of protein sequences is represented as a set of nodes, each represented by the amino acid sequence for a protein with the sequence similarities among them constituting a set of edges in a graph of protein relationships. We use graph-based clustering methods to identify structurally consistent sets of nodes which are strongly connected with each other. Our results are consistent with those from current leading systems such as COG/KOG and KEGG based on manual curation. All the results are viewable at http://www.cs.rutgers.edu/${\sim}$seabee.

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당귀근부 첨가사료가 육계의 생산성과 장기발육 및 혈액성장에 미치는 영향 (Effect of Dietary Root Powder of Angelicae gigantis on Growth Performance, Organ Weight and Serum Components in Broiler Chicken)

  • 조성구
    • 한국가금학회지
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    • 제22권3호
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    • pp.145-153
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    • 1995
  • The root powder of Angelicae gigantis Radix (RPAGR) is known to he beneficial for liver and blood circulation. In a 6-wk broiler feeding trial, the RPAGR was added at levels of 0, 0.2, 0.5, and 1.0%, respectively. The RPAGR was found to be palatable as birds consumed moreof the test diets than the control(0% RPAGR) diet. The BW gain of 1.0% RPAGR group was higher than the control group. The feed efficiency(F/G) was improved significantly(P<0.01) by feeding 1.0% RPAGR. The RPAGR also caused beneficial effects in various carcass characteristics, i.e., carcass weight, dressing percentage, breast muscle, and thigh meat production. There was no consistent trend in various organ weights by the addition of RPAGR. Also, no consistent trend was found in abdominal fat weight. The serum cholesterol level tended to decrease as the BW increased. No consistent trend was detected in serum triglyceride contents.

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A Linear and Consistent Class of Econometric Estimators in Simultaneous Equations

  • Srivastava, V.K.;Dwivedi, T.D.;Agnihotri, B.S.
    • Journal of the Korean Statistical Society
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    • 제8권2호
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    • pp.117-123
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    • 1979
  • Striaght-forward application of the ordinary least squares model for estimating the parameters of a simultaneous linear stochastic equations model does not provide consistent estimators due to the fact that the explanatory jointly dependent variables are correlated with the disturbances. The search for consistent estimators during the last three decades has yielded a variety of estimators which can be broadly classified into two groups, namely, limited information and full information. Both the groups fails to uilize the over-identifying restrictions in the structural equations except the one under study while the latter group succeeds; see, e.g. Srivastava(1978) for a brief review and Theil (1961) for a detail description.

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전단효과를 고려한 곡선보 요소 개발 (Development of Curved Beam Element with Shear Effect)

  • 이석순;구정서;최진민
    • 대한기계학회논문집
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    • 제17권10호
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    • pp.2535-2542
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    • 1993
  • Two-noded curved beam elements, CMLC (field-consistent membrane and linear curvature) and IMLC(field-inconsistent membrane and linear curvature) are developed on the basis of Timoshenko's beam theory and curvilinear coordinate. The curved beam element is developed by the separation of the radial deflection into the bending deflection. In the CMLC element, field-consistent axial strain interpolation is adapted for removing the membrane locking. The CMLC element shows the rapid and stable convergence on the wide range of curved beam radius to thickness. The field-consistent axial strain and the separation of radial deformation produces the most efficient linear element possible.

A consistent FEM-Vlasov model for laminated orthotropic beams subjected to moving load

  • Ozgan, Korhan
    • Structural Engineering and Mechanics
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    • 제64권1호
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    • pp.23-31
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    • 2017
  • In the study, dynamic behavior of laminated orthotropic beams on elastic foundation is investigated. Consistent model presented here combines the finite element solution of the system with SAP2000 software and the calculation of soil parameters with MATLAB software using Modified Vlasov Model type elastic foundation. For this purpose, a computing tool is coded in MATLAB which employs Open Application Programming Interface (OAPI) feature of SAP2000 to provide two-way data flow during execution. Firstly, an example is taken from the literature to demonstrate the accuracy of the consistent FEM-Vlasov Model. Subsequently, the effects of boundary conditions, subsoil depth, elasticity modulus of subsoil, slenderness ratio, velocity of moving load and lamination scheme on the behavior of laminated orthotropic beams on elastic foundation are investigated on a new numerical example. It can be concluded that it is really convenient to use OAPI feature of SAP2000 to model this complex behavior of laminated orthotropic beams on elastic foundation under moving load.

Posterior Consistency for Right Censored Data

  • Lee, Jae-Yong
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2003년도 추계 학술발표회 논문집
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    • pp.39-45
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    • 2003
  • Ghosh and Ramamoorthi (1996) studied the posterior consistency for survival models and showed that the posterior was consistent, when the prior on the distribution of survival times was the Dirichlet process prior. In this paper, we study the posterior consistency of survival models with neutral to the right process priors which include Dirichlet process priors. A set of sufficient conditions for the posterior consistency with neutral to the right process priors are given. Interestingly, not all the neutral to the right process priors have consistent posteriors, but most of the popular priors such as Dirichlet processes, beta processes and gamma processes have consistent posteriors. For extended beta processes, a necessary and sufficient condition for the consistency is also established.

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Learning from the L2 Expository Text

  • Kim, Jung-Tae
    • 영어어문교육
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    • 제10권3호
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    • pp.21-40
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    • 2004
  • This study Questioned what happens in L2 reading comprehension of the expository text, as measured by recall and inference-making abilities, when a L2 reader was induced to develop a content schema about the topic of a target text, but the structure of that schema departs from the structure of the target text Seventy-four. Korean university students read either the same version text twice (consistent condition) or two different version texts (inconsistent condition) with a three-day interval between the two readings. The results of a verification test indicate that, for those subjects with higher L2 reading proficiency, the inconsistent condition was more beneficial than the consistent condition for the inference-making task. On the other hand, for lower-level L2 readers, the consistent condition was more favorable for the recall task. It was concluded that inducing a structurally inconsistent schema through an L2 pre-reading would be beneficial only when the reader's L2 linguistic ability is proficient enough to produce necessary propositions from the pre-reading.

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PROPAGATION OF MULTI-LEVEL CUES WITH ADAPTIVE CONFIDENCE FOR BILAYER SEGMENTATION OF CONSISTENT SCENE IMAGES

  • Lee, Soo-Chahn;Yun, Il-Dong;Lee, Sang-Uk
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.148-153
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    • 2009
  • Few methods have dealt with segmenting multiple images with analogous content. Concurrent images of a scene and gathered images of a similar foreground are examples of these images, which we term consistent scene images. In this paper, we present a method to segment these images based on manual segmentation of one image, by iteratively propagating information via multi-level cues with adaptive confidence. The cues are classified as low-, mid-, and high- levels based on whether they pertain to pixels, patches, and shapes. Propagated cues are used to compute potentials in an MRF framework, and segmentation is done by energy minimization. Through this process, the proposed method attempts to maximize the amount of extracted information and maximize the consistency of segmentation. We demonstrate the effectiveness of the proposed method on several sets of consistent scene images and provide a comparison with results based only on mid-level cues [1].

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