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A Structure of Domain Ontologies and their Mathematical Models

  • Kleshchev, Alexander S.;Artemjeva, Irene L.
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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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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Meta learning-based open-set identification system for specific emitter identification in non-cooperative scenarios

  • Xie, Cunxiang;Zhang, Limin;Zhong, Zhaogen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.5
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    • pp.1755-1777
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    • 2022
  • The development of wireless communication technology has led to the underutilization of radio spectra. To address this limitation, an intelligent cognitive radio network was developed. Specific emitter identification (SEI) is a key technology in this network. However, in realistic non-cooperative scenarios, the system may detect signal classes beyond those in the training database, and only a few labeled signal samples are available for network training, both of which deteriorate identification performance. To overcome these challenges, a meta-learning-based open-set identification system is proposed for SEI. First, the received signals were pre-processed using bi-spectral analysis and a Radon transform to obtain signal representation vectors, which were then fed into an open-set SEI network. This network consisted of a deep feature extractor and an intrinsic feature memorizer that can detect signals of unknown classes and classify signals of different known classes. The training loss functions and the procedures of the open-set SEI network were then designed for parameter optimization. Considering the few-shot problems of open-set SEI, meta-training loss functions and meta-training procedures that require only a few labeled signal samples were further developed for open-set SEI network training. The experimental results demonstrate that this approach outperforms other state-of-the-art SEI methods in open-set scenarios. In addition, excellent open-set SEI performance was achieved using at least 50 training signal samples, and effective operation in low signal-to-noise ratio (SNR) environments was demonstrated.

REPRESENTATIONS OVER GREEN ALGEBRAS OF WEAK HOPF ALGEBRAS BASED ON TAFT ALGEBRAS

  • Liufeng Cao
    • Bulletin of the Korean Mathematical Society
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    • v.60 no.6
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    • pp.1687-1695
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    • 2023
  • In this paper, we study the Green ring r(𝔴0n) of the weak Hopf algebra 𝔴0n based on Taft Hopf algebra Hn(q). Let R(𝔴0n) := r(𝔴0n) ⊗ ℂ be the Green algebra corresponding to the Green ring r(𝔴0n). We first determine all finite dimensional simple modules of the Green algebra R(𝔴0n), which is based on the observations of the roots of the generating relations associated with the Green ring r(𝔴0n). Then we show that the nilpotent elements in r(𝔴0n) can be written as a sum of finite dimensional indecomposable projective 𝔴0n-modules. The Jacobson radical J(r(𝔴0n)) of r(𝔴0n) is a principal ideal, and its rank equals n - 1. Furthermore, we classify all finite dimensional non-simple indecomposable R(𝔴0n)-modules. It turns out that R(𝔴0n) has n2 - n + 2 simple modules of dimension 1, and n non-simple indecomposable modules of dimension 2.

Transfer Learning based Parameterized 3D Mesh Deformation with 2D Stylized Cartoon Character

  • Sanghyun Byun;Bumsoo Kim;Wonseop Shin;Yonghoon Jung;Sanghyun Seo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.11
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    • pp.3121-3144
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    • 2023
  • As interest in the metaverse has grown, there has been a demand for avatars that can represent individual users. Consequently, research has been conducted to reduce the time and cost required for the current 3D human modeling process. However, the recent automatic generation of 3D humans has been focused on creating avatars with a realistic human form. Furthermore, the existing methods have limitations in generating avatars with imbalanced or unrealistic body shapes, and their utilization is limited due to the absence of datasets. Therefore, this paper proposes a new framework for automatically transforming and creating stylized 3D avatars. Our research presents a definitional approach and methodology for creating non-realistic character avatars, in contrast to previous studies that focused on creating realistic humans. We define a new shape representation parameter and use a deep learning-based method to extract character body information and perform automatic template mesh transformation, thereby obtaining non-realistic or unbalanced human meshes. We present the resulting outputs visually, conducting user evaluations to demonstrate the effectiveness of our proposed method. Our approach provides an automatic mesh transformation method tailored to the growing demand for avatars of various body types and extends the existing method to the 3D cartoon stylized avatar domain.

Scope Relations Between Quantifier and Focus (양화사와 초점의 영향권 관계)

  • Jo, Yu-Mi
    • Korean Journal of Cognitive Science
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    • v.19 no.2
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    • pp.205-222
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    • 2008
  • This study investigated scope relations between quantifier and focus which are represented in quantified sentences. In the sentence which has both strong quantifier and weak quantifier, one of them has a wide scope and a presuppositional reading, and the other which has a narrow one is interpreted non-presuppositionally. In Korean, when a weak quantifier is separated from VP in surface representation, whether it is a subject or an object, it has only a presuppositional reading. Therefore, there is no scope ambiguity in that sentence. However, when weak quantifier which is an object of transitive verb or a subject of transitive verb is sensitive to focus, it is available to non-presuppositional reading, so that the sentence seems to be ambiguous. Once even weak quantifier out of VP in the Surface structure is focused, it becomes to be in the scope of focus (focal phrase) which is formed in Logical form by a focus projection. And this scope of focus corresponds to a nuclear scope. That is to say, focus operates on the weak quantifier to be interpreted non-presuppositionally in a nuclear scope.

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Urban Machine Space as (Non-)Place: Interpreting Semiotic Representations of Subway Space in Daegu ((비-)장소로서 도시 기계 공간 -대구 지하철 공간의 기호적 재현에 대한 해석-)

  • Lee, Hee-Sang
    • Journal of the Korean Geographical Society
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    • v.44 no.3
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    • pp.301-322
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    • 2009
  • This paper is an attempt to explore semiotic representations of subway space as the urban machine space of local mobility in terms of space, time and place. For this, the second section of the paper reviews the contours of the urban space of mobility in terms of 'machine space', 'non-place' and 'cognitive map'. The third section interprets the sings of 'spatial' and 'temporal' representations of subway space in Daegu, and suggests the implications of the semiotic representations. It is uncovered that various sign-scapes which coexist in the subway space in coordinated or contradictory ways product the space into multiple and complex techno-social spaces. That is, the spatio-temporal representations of the subway space form the space of 'non-place' on the one hand and the space of 'place' on the other hand, and involve the spatialization of 'memory' on the one hand and the spatialization of 'forgetting' on the other hand. Thus, the subway space should be regarded to be not only the space of 'mobility' which people move in and through, but also the space of 'identity' which has effects on the ways for them to see the machine space and its urban space.

Mutual Detectability and System Enlargement of Detection Filters: An Invariant Zero Approach

  • Kim, Yong-Min;Park, Jae-Hong
    • International Journal of Control, Automation, and Systems
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    • v.4 no.6
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    • pp.769-774
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    • 2006
  • In this paper, we discuss the problem of non-mutual detectability using the invariant zero. We propose a representation method for excess spaces by linear equation based on the Rosenbrock system matrix. As an alternative to the system enlargement method proposed by White[1], we propose an appropriate form of an enlarged system to make a set of faults mutually detectable by assigning sufficient geometric multiplicity of invariant zeros. We show the equivalence between the two methods and a necessary condition for the system enlargement in terms of the geometric and algebraic multiplicities of invariant zeros.

A New Anchor Shot Detection System for News Video Indexing

  • Lee, Han-Sung;Im, Young-Hee;Park, Joo-Young;Park, Dai-Hee
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.217-220
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    • 2007
  • In this paper, we present a new anchor shot detection system which is a core step of the preprocessing process for the news video analysis. The proposed system is composed of four modules and operates sequentially: 1) skin color detection module for reducing the candidate face regions; 2) face detection module for finding the key-frames with a facial data; 3) vector representation module for the key-frame images using a non-negative matrix factorization; 4) anchor shot detection module using a support vector data description. According to our computer experiments, the proposed system shows not only the comparable accuracy to the recent other results, but also more faster detection rate than others.

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A frequency domain adaptive PID controller based on non-parametric plant model representation

  • Egashira, Toyokazu;Iwai, Zenta;Hino, Mitsushi;Takeyama, Yoshikazu;Ono, Taisuke
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.165-168
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    • 1996
  • In this paper, we propose a design method of PID adaptive controller based on frequency domain analysis. The method is based on the estimation of a nonparametric process model in the frequency domain and the determination of the PID controller parameters by achieving partial model matching so as to minimize a performance function concerning to relative model error between the loop transfer function of the control system and the desired system. In the design method the process is represented only by a discrete set of points on the Nyquist curve of the process. Therefore it is not necessary to estimate a full order parameterized process model.

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The application of geometrically exact shell element to NURBS generated by NLib (기하학적으로 정확한 쉘 요소의 NLib에 의해 생성된 NURBS 곡면에의 적용)

  • Choi Jin-Bok;Oh Hee-Yuel;Cho Maeng-Hyo
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2005.04a
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    • pp.301-308
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    • 2005
  • In this study, we implement a framework that directly links a general tensor-based shell finite element to NURBS geometric modeling. Generally, in CAD system the surfaces are represented by B-splines or non-uniform rational B-spline(NURBS) blending functions and control points. Here, NURBS blending functions are composed by two parameters defined in local region. A general tensor-based shell element also has a two-parameter representation in the surfaces, and all the computations of geometric quantities can be performed in local surface patch. Naturally, B-spline surface or NURBS function could be directly linked to the shell analysis routine. In our study, we use NLib(NURBS libraray) to generate NURBS for shell finite analysis. The NURBS can be easily generated by interpolating or approximating given set of data points through NLib.

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