• Title/Summary/Keyword: representations

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Learning and Usability of Accounting Information Visualization

  • Tanlamai, Uthai
    • Journal of Information Technology Applications and Management
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    • v.23 no.3
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    • pp.1-12
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    • 2016
  • Visual representations for concepts in business management are quite challenging, especially those abstract concepts in Accountancy discipline. For example, there might not be a consensus on what to use to represent such abstraction as an asset, liability, or owner equity. This is because asset can be property, estate, resources, equipment, or any tangible or non-tangible valuables. Cognitive science concepts and behavior engagement have been used to develop visual representations for financial data. The concepts include spatial processing, big picture thinking, and metaphor. Review of past studies together with a brief research plan to test the usability for learning of four new augmented reality 0visuals are provided in the present paper.

The Coupling Analysis of Electromagnetic Wave to Transmission Line using Nonhomogeneous Differential Equations (비동차 미분 방정식을 이용한 외부전자파에 의한 전송선로 결합 해석)

  • Myung, Sung-Ho;Lee, Ki-Chul
    • Proceedings of the KIEE Conference
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    • 1989.07a
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    • pp.552-556
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    • 1989
  • The line equations can be expressed by a set of nonhomogeneous differential equation where forcing terms of these equations have been adopted. Equivalent-circuit representations of this paper are derived from solutions of the equations. The contribution of the external wave to the line is expressed in terms of ideal sources in the form of a cascade connection to the line. These representations art conveniently applicable to the various types of transmission lines because these Lines can often be written in the form of a chain matrix.

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Government and Derivation in Korean Phonology

  • Park, Hee-Heon;David Michaels
    • Proceedings of the KSPS conference
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    • 1996.10a
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    • pp.117-122
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    • 1996
  • This paper proposes a derivational account of tensing and neutralization of obstruents in Korean within the theory of Government Phonology (GP) (Kaye, Lowenstamm and Vergnaud 1990, henceforth KLV; Park 1996). We begin by outling the relevant tensing and neutralization data in Korean. We point out several problems that need to be addressed in any account of these data. We then set out the central notions of GP, pointing out how adherence to the requirement that government relations remain constant throughout a derivation under the Projection Principle prevents a GP account of tensing and neutralization in Korean, which requires government relations to switch between lexical and phonetic representations. To address this problem, we propose abandoning the Projection Principle, extending lexical representations in GP along the lines of the Markedness Theory approach (Michaels 1989), and adopting the economy principles for derivation of the Minimalist approach (Chomsky 1993; Chomsky & Lasnik 1991). finally, we summarize the analysis of obstruent phenomena in Korean within GP extended in these ways.

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A Study on the Images of Fashion Advertisements using Mirrors (거울을 이용한 패션 광고의 이미지 연구)

  • Choi, Yoo-Jin
    • Fashion & Textile Research Journal
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    • v.11 no.2
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    • pp.200-209
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    • 2009
  • Mirrors often appear in fashion advertisements. This study aimed to analyze meanings of the images represented in fashion advertisements using mirrors. This study analyzed the meanings of mirror image in Western art history, and also studied meanings of female representations in the paintings. Based on previous studies, this study classified mirrors' expressions in three types and analyzed their meanings. To analyze the meanings of the three types, this study researched the symbolic meanings of the mirrors in visual arts chronologically, first. And then, this study interpreted that in the context of consumption cultures and consuming ideologies in view of feminism, consumption ideology, desire theory, and fetishism. The results of this study were as follows; 1. Narcistic body expressions associated with strong and independent women, while associated submissive being overwhelmed by consumption cultures. 2. The method of revealing the female body throughout mirrors was meant to attract the attention of consumer. 3. Multiplied body images meaning was like a commodity in fashion advertisements.

SL(2, $\mathbb{C}$)-REPRESENTATION VARIETIES OF PERIODIC LINKS

  • Lee, Sang-Youl
    • East Asian mathematical journal
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    • v.19 no.2
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    • pp.317-335
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    • 2003
  • In this paper, we characterize SL(2, $\mathbb{C}$)-representations of an n-periodic link $\tilde{L}$ in terms of SL(2, $\mathbb{C}$)-representations of its quotient link L and express the SL(2, $\mathbb{C}$)-representation variety R($\tilde{L}$) of $\tilde{L}$ as the union of n affine algebraic subsets which have the same dimension. Also, we show that the dimension of R($\tilde{L}$) is bounded by the dimensions of affine algebraic subsets of the SL(2, $\mathbb{C}$)-representation variety R(L) of its quotient link L.

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Evaluations of Representations for the Derivative of Rational $B\{e}zier$ Curve (유리 $B\{e}zier$ 곡선의 미분계산방법의 평가)

  • 김덕수;장태범
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.4
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    • pp.350-354
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    • 1999
  • The problem of the computation of derivatives arises in various applications of rational Bezier curves. These applications sometimes require the computation of derivative on numerous points. Therefore, many researches have dealt with the representation for the computation of derivatives with the small computation error. This paper compares the performances of the representations for the derivative of rational Bezier curves in the performances. The performance is measured as computation requirements at the pre-processing stage and at the computation stage based on the theoretical derivation of computational bound as well as the experimental verification. Based on this measurement, this paper discusses which representation is preferable in different situations.

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Hierarchical Structure in Semantic Networks of Japanese Word Associations

  • Miyake, Maki;Joyce, Terry;Jung, Jae-Young;Akama, Hiroyuki
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.321-329
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    • 2007
  • This paper reports on the application of network analysis approaches to investigate the characteristics of graph representations of Japanese word associations. Two semantic networks are constructed from two separate Japanese word association databases. The basic statistical features of the networks indicate that they have scale-free and small-world properties and that they exhibit hierarchical organization. A graph clustering method is also applied to the networks with the objective of generating hierarchical structures within the semantic networks. The method is shown to be an efficient tool for analyzing large-scale structures within corpora. As a utilization of the network clustering results, we briefly introduce two web-based applications: the first is a search system that highlights various possible relations between words according to association type, while the second is to present the hierarchical architecture of a semantic network. The systems realize dynamic representations of network structures based on the relationships between words and concepts.

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An Analysis of Children's Proportional Reasoning in Proportional Problems with Iconic Representations (영상적 표상이 포함된 비례 문제에서 나타난 아동들의 비례적 사고 분석)

  • Kim, Min-Kyeoug
    • The Mathematical Education
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    • v.46 no.2 s.117
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    • pp.141-153
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    • 2007
  • The purpose of the study is to analyze children's proportional reasoning and problem solving in proportional problems with/without iconic representations. Proportional problems include 3 tasks such as (a) without any picture, (b) with simple picture, and (c) with/without iconic representation. As a result, children didn't show any significant differences in two tasks such as (a) and (b). However, children showed better proportional reasoning with iconic representation. In addition, 'build-up expression' strategy was used mostly in solving problems and 'additive strategy' was shown as an error which students didn't make an appropriate proportional relation expression and they made a wrong additive strategy.

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Reflection and Approach on Mathematical Signs and Their Meanings (수학기호와 그 의미에 대한 고찰 및 도입 방법)

  • 김선희;이종희
    • School Mathematics
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    • v.4 no.4
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    • pp.539-554
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    • 2002
  • Mathematics is constructed by many signs, and learning mathematics involves the understanding and uses of them. This study reflects mathematical signs and their meanings, and considers how they can be introduced in learning. For these, we first investigated epistemological positions as Piaget, Vygotsky, anthropology, and interactionism. And we investigated semiotic models that Saussure and Peirce built each. Among these we adopted Peirce' triadic model that is consisted of interpretant, object (referent), and represen tamen(sign). In mathematic learning process, representations are transformed by translations and meanings are growed to the representation of another sign. And the meaning of sign grows by learner's interpretation. In terms of theoretical grounds, we settled that the understanding of mathematical signs involved the understanding of their representations and their meanings. On the foundation of above contents, we searched how we introduced signs to students and there were methods that approached to students representationally or inquiringly.

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Deep Hashing for Semi-supervised Content Based Image Retrieval

  • Bashir, Muhammad Khawar;Saleem, Yasir
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.3790-3803
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    • 2018
  • Content-based image retrieval is an approach used to query images based on their semantics. Semantic based retrieval has its application in all fields including medicine, space, computing etc. Semantically generated binary hash codes can improve content-based image retrieval. These semantic labels / binary hash codes can be generated from unlabeled data using convolutional autoencoders. Proposed approach uses semi-supervised deep hashing with semantic learning and binary code generation by minimizing the objective function. Convolutional autoencoders are basis to extract semantic features due to its property of image generation from low level semantic representations. These representations of images are more effective than simple feature extraction and can preserve better semantic information. Proposed activation and loss functions helped to minimize classification error and produce better hash codes. Most widely used datasets have been used for verification of this approach that outperforms the existing methods.