• Title/Summary/Keyword: non-hierarchical

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Hierarchical NFT using Parent-Child Structure

  • JongWook Bae;Nitin Bhagat;Su-Hyun Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.2
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    • pp.127-136
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    • 2024
  • This paper presents a novel method for minting hierarchical Non-Fungible Tokens(NFTs) via a parent-child structure. In contrast to existing NFT structures, our proposed model enables an NFT to act as a parent, creating child NFTs and distributing ownership stakes among them. These child NFTs are recursively structured, allowing them to generate their own descendants. The existing structure of NFTs does not inherently allow for fractional ownership. However, our proposed hierarchical model provides a feasible solution to this restriction. By dividing an NFT into multiple child NFTs, each with its own unique identity, we facilitate the detailed division of an asset, thereby making fractional ownership possible. In conclusion, the hierarchical NFT model proposed in this paper offers a promising solution to the challenges of fractional ownership in the digital asset arena. By enabling the detailed division of NFTs through a parent-child structure, we anticipate a future where digital assets can be owned and traded more flexibly and transparently.

New BER Expression of Hierarchical M-ary Phase Shift Keying

  • Lee, Jae-Yoon;Cho, Kyong-Kuk;Yoon, Dong-Weon
    • ETRI Journal
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    • v.29 no.6
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    • pp.707-715
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    • 2007
  • In-phase/quadrature (I/Q) imbalances, which are generated by non-ideal transceiver components, are inevitable physical phenomena that cause the performance of practical communication systems to be degraded. In this paper, we provide a new closed-form expression for the bit error rate of hierarchical M-ary phase shift keying with I/Q phase and amplitude imbalances and analyze the effect of I/Q imbalances on BER performance over an additive white Gaussian noise channel.

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Hierarchical image and Kalman filter-based active shape model for non-rigid object tracking (비정형 객체추적을 위한 계층적 영상과 Kalman Filter기반 능동형태모델)

  • 강진영;기현종;신정호;백준기
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.445-448
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    • 2003
  • In this paper, we present a hierarchical approach of an enhanced active shape model for video tracking. Kalman filter is used. To estimate a dynamic shape in video object tracking. The experimental results show that the proposed hierarchical active shape model using Kalman filter is efficient.

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Determinants of Housing Cost: Hierarchical Linear Model for Estimating Coefficients of a Hosing System Dynamics Model (주거비용에 영향을 미치는 요소 분석: 시스템다이내믹스 계수추정을 위한 다층모형과 회귀모형의 비교)

  • Kang, Myoung-Gu
    • Korean System Dynamics Review
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    • v.8 no.2
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    • pp.253-273
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    • 2007
  • To measure the effect of school zone on housing cost, Linear Regression Model is widely used, and school zone is known as a key determinant of housing cost in Korea. However, when the Hierarchical Linear Model (HLM) is applied with the same data, school effect on housing cost becomes statistically non-significant. It is because HLM effectively separates the effect of individual housing's attributes from the group effect. In sum, the housing cost of Kangnam, where good public schools are located, is apparently is higher than that of Kangbuk. However, the school effect on housing cost (Level 2) becomes non-significant when individual housing's attributes (Level 1) are controlled with HLM.

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Hierarchical Optimal Control of Non-linear Systems using Fast Walsh Transform (FWT를 이용한 비선형계의 계층별 최적제어)

  • Jeong, Je-Uk;Jo, Yeong-Ho;Im, Guk-Hyeon;An, Du-Su
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.49 no.8
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    • pp.415-422
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    • 2000
  • This paper presents a new algorithm for hierarchical optimal control of nonlinear systems. The proposed method is simple because the solutions are obtained by only exchanging informations of coefficient vector based on interaction prediction principle and FWT(fast Walsh transform) in upper and lower level. Since we solve two point boundary problem with Picard's iterative method and the backward integral operational matrix of Walsh function to obtain the optimal vector of each independent subsystem, the algorithm is simple and its operation is fast without inverse matrix and kronecker product operation. In simulation, the proposed algorithm's usefulness is proved by comparison with the global optimal control methods.

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A Study on Types and Limitations of Control Systems in Computer Game Artificial Intelligence (게임 인공지능 기술의 제어 시스템 유형 및 문제점 연구)

  • Yu, Sun-Joon
    • Journal of Digital Contents Society
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    • v.7 no.1
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    • pp.35-40
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    • 2006
  • Game AI(Artificial Intelligence) technologies implement the movement of autonomous characters and control the movement of Non-Player Characters(NPC). In this paper, we present several types of game AI control systems such as Movement Scripts, FSM(Finite State Machines), Hierarchical State Machines, fuzzy State Machines, and Pathfinding techniques and their limitations.

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Three dimensional non-conforming 8-node solid elements with rotational degrees of freedom

  • Choi, Chang-Koon;Chung, Keun-Young;Lee, Nam-Ho
    • Structural Engineering and Mechanics
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    • v.4 no.5
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    • pp.569-586
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    • 1996
  • A new three-dimensional 8-node solid element with rotational degrees of freedom is presented. The proposed element is established by adding rotational degrees of freedom to the basic 8-node solid element. Thus the element has three translations and three rotational degrees of freedom per node. The corner rotations are introduced by transforming the hierarchical mid-edge displacements which are parabolic shape along an edge. The derivation of the element is based on the mixed variational principles in which the rotations are introduced as independent variables. Several types of non-conforming modes are selectively added to the displacement fields to obtain a series of improved elements. The resulting elements do not have the spurious zero energy modes and Poisson's ratio locking and pass patch test. Numerical examples show that presented non-conforming solid elements with rotational degrees of freedom show good performance even in the highly distorted meshes.

A Framework for Hierarchical Production Planning and Control in Make-to-Order Environment with Job Shop (Job Shop 형태를 갖는 주문생산 환경에서의 계층적 생산계획 및 통제 Framework의 설계)

  • 송정수;문치웅;김재균
    • Journal of the Korean Operations Research and Management Science Society
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    • v.16 no.2
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    • pp.125-125
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    • 1991
  • This paper presents a framework for the hierarchical PPC(Production Planning and Control) in make-to-order environment with job shop. The characteristics of the environment are described as : 1) project with non-repetitive and individual production, 2) short delivery date, 3) process layout with large scales manufacturing. 4) job shops. The PPC in a make-to-order typically are organized along hierarchical fashions. A model is proposed for the hierarchical job shop scheduling based on new concepts of production system, work and worker organization. Then, a new integrated hierarchical framework is also developed for the PPC based on concepts of the proposed job shops scheduling model. Finally, the proposed framework has been implemented in the Electric Motor Manufacturing and the results showed good performance.

Likelihood-Based Inference on Genetic Variance Component with a Hierarchical Poisson Generalized Linear Mixed Model

  • Lee, C.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.8
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    • pp.1035-1039
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    • 2000
  • This study developed a Poisson generalized linear mixed model and a procedure to estimate genetic parameters for count traits. The method derived from a frequentist perspective was based on hierarchical likelihood, and the maximum adjusted profile hierarchical likelihood was employed to estimate dispersion parameters of genetic random effects. Current approach is a generalization of Henderson's method to non-normal data, and was applied to simulated data. Underestimation was observed in the genetic variance component estimates for the data simulated with large heritability by using the Poisson generalized linear mixed model and the corresponding maximum adjusted profile hierarchical likelihood. However, the current method fitted the data generated with small heritability better than those generated with large heritability.

A Framework for Hierarchical Production Planning and Control in Make-to-Order Environment with Job Shop (Job Shop 형태를 갖는 주문생산 환경에서의 계층적 생산계획 및 통제 Framework의 설계)

  • 송정수;문치웅;김재균
    • Korean Management Science Review
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    • v.16 no.2
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    • pp.125-135
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    • 1999
  • This paper presents a framework for the hierarchical PPC(Production Planning and Control) in make-to-order environment with job shop. The characteristics of the environment are described as : 1) project with non-repetitive and individual production, 2) short delivery date, 3) process layout with large scales manufacturing. 4) job shops. The PPC in a make-to-order typically are organized along hierarchical fashions. A model is proposed for the hierarchical job shop scheduling based on new concepts of production system, work and worker organization. Then, a new integrated hierarchical framework is also developed for the PPC based on concepts of the proposed job shops scheduling model. Finally, the proposed framework has been implemented in the Electric Motor Manufacturing and the results showed good performance.

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