• 제목/요약/키워드: Computational Logic

검색결과 173건 처리시간 0.023초

APPLICATION OF FUZZY LOGIC IN THE CLASSICAL CELLULAR AUTOMATA MODEL

  • Chang, Chun-Ling;Zhang, Yun-Jie;Dong, Yun-Ying
    • Journal of applied mathematics & informatics
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    • 제20권1_2호
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    • pp.433-443
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    • 2006
  • In [1], they build two populations' cellular automata model with predation based on the Penna model. In this paper, uncertain aspects and problems of imprecise and vague data are considered in this model. A fuzzy cellular automata model containing movable wolves and sheep has been built. The results show that the fuzzy cellular automata can simulate the classical CA model and can deal with imprecise and vague data.

클러스터링 적응 퍼지 제어기를 이용한 브러시리스 직류 전동기의 토크 제어 (Torque Control of Brushless DC Motor Using a Clustering Adaptive Fuzzy Logic Controller)

  • 권정진;한우용;이창구;김성중
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.349-349
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    • 2000
  • A Clustering Adaptive Fuzzy Logic Controller(CAFLC) is applied to the torque control of a brushless do motor drive. Objective of this system includes elimination of torque ripple due to cogging at low speeds under loads. The CAFLC implemented has advantages of computational simplicity, and self-tuning characteristics. Simulation results showed that the torque ripple and dynamic response of the system using a CAFLC were superior to the model reference adaptive controlled system.

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A Fuzzy Neural Network: Structure and Learning

  • Figueiredo, M.;Gomide, F.;Pedrycz, W.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1171-1174
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    • 1993
  • A promising approach to get the benefits of neural networks and fuzzy logic is to combine them into an integrated system to merge the computational power of neural networks and the representation and reasoning properties of fuzzy logic. In this context, this paper presents a fuzzy neural network which is able to code fuzzy knowledge in the form of it-then rules in its structure. The network also provides an efficient structure not only to code knowledge, but also to support fuzzy reasoning and information processing. A learning scheme is also derived for a class of membership functions.

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Reliability-Based Iterative Proportionality-logic Decoding of LDPC Codes with Adaptive Decision

  • Sun, Youming;Chen, Haiqiang;Li, Xiangcheng;Luo, Lingshan;Qin, Tuanfa
    • Journal of Communications and Networks
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    • 제17권3호
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    • pp.213-220
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    • 2015
  • In this paper, we present a reliability-based iterative proportionality-logic decoding algorithm for two classes of structured low-density parity-check (LDPC) codes. The main contributions of this paper include: 1) Syndrome messages instead of extrinsic messages are processed and exchanged between variable nodes and check nodes, which can reduce the decoding complexity; 2) a more flexible decision mechanism is developed in which the decision threshold can be self-adjusted during the iterative process. Such decision mechanism is particularly effective for decoding the majority-logic decodable codes; 3) only part of the variable nodes satisfying the pre-designed criterion are involved for the presented algorithm, which is in the proportionality-logic sense and can further reduce the computational complexity. Simulation results show that, when combined with factor correction techniques and appropriate proportionality parameter, the presented algorithm performs well and can achieve fast decoding convergence rate while maintaining relative low decoding complexity, especially for small quantized levels (3-4 bits). The presented algorithm provides a candidate for those application scenarios where the memory load and the energy consumption are extremely constrained.

창의적 컴퓨팅 산출물 기반 알고리즘 교육 방법 (Educational Method of Algorithm based on Creative Computing Outputs)

  • 허경
    • 실천공학교육논문지
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    • 제10권1호
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    • pp.49-56
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    • 2018
  • 비전공 학부생을 대상으로 다양한 방식의 SW 교육이 대학별로 운영되고 있다. 그리고 대부분 컴퓨팅적 사고를 교육하는 데 초점을 맞추고 있다. 이러한 컴퓨팅 교육에 이어서 학생들마다 창의적인 컴퓨팅 산출물을 구현하고 평가하는 교육 방식이 필요하다. 본 논문에서는 창의적 컴퓨팅 산출물 기반 SW교육을 실현하는 한 가지 방안을 제안한다. 이를 위해 학생들이 디지털논리회로 장치를 창의적으로 구현하고, 이 장치의 기능을 구현하는 SW알고리즘을 디자인하는 교육방법을 제안한다. 제안한 교육 방법에서는 아두이노 보드를 사용한 간단한 LED 논리회로를 예로 들어 교육한다. 학생들은 2변수 논리회로 출력장치 두 쌍을 창의적으로 설계 및 구현하고, 구현한 장치의 패턴을 나타내는 알고리즘을 다양한 형태로 설계한다. 그리고 입력장치를 이용한 기능 확장 및 확장된 알고리즘을 설계한다. 제안한 교육방법을 적용하면, 비전공 학생들이 창의적 컴퓨팅 산출물 제작을 통해 알고리즘 설계의 개념과 필요성을 습득하는 성과를 얻을 수 있다.

실리콘 마이크로머시닝을 이용한 유체증폭기의 제작과 수치해석을 이용한 해석 (A Silicon Micromachined Fluidic Amplifier and Performance Analysis with Computational Fluid Dynamics)

  • 김태현;조동일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 C
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    • pp.1963-1967
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    • 1996
  • This paper describes the analysis, design, and silicon-fabrication of a fluidic proportional amplifier, which is the most important element of fluidic logic circuits. First, FEM(finite element method) analyses were performed, using the Fluent computational fluid dynamics program, and design geometries were optimized. Then, a $40\;{\mu}m$-deep amplifier was fabricated in silicon using anisotropic dry etching.

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개구부가 있는 춤이 큰 철근 콘크리트 보의 설계에서 지식기반시스템의 적용 (An Application of a Knowledge-Based System for Design of Reinforced Concrete Deep Beam with Opening)

  • 민명희;이승창;이병해
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1996년도 봄 학술발표회 논문집
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    • pp.40-46
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    • 1996
  • Three procedures are currently used for the design of deep beams, which are Empirical design method, Nonlinear analysis, and Truss models. The engineering logic and decisions inherent in these design procedures are dependent on the acquired knowledge and experience of the structural engineer. Knowledge-based system is useful to solve problems which require human experties. Therefore, this study presents an application of Knowledge-Based System for design of reinforced concrete deep beams with web openings.

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Embedded System for Video Coding with Logic-Enhanced DRAM and Configurable Processor

  • Kaya, Toshiyuki;Miyamoto, Ryusuke;Onoye, Takao;Shirakawa, Isao
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.216-219
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    • 2002
  • A novel approach of embedded systems for video coding is introduced with the main theme focused on logic-enhanced DRAM and configurable processor. This approach is aiming at reducing high computational costs and frequent memory accessing, which embedded systems are suffering with in the execution of video coding. According Co the software execution analysis, large size functions with intensive memory accesses are tuned to be executed by the logic-enhanced DRAM while small size functions repeatedly called are to be executed by dedicated instructions, which are newly introduced in the configurable processor. The proposed system can speed up H.263 video coding algorithm 7.4 times in comparison with the conventional embedded processor based system.

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Efficient Lambda Logic Based Optimisation Procedure to Solve the Large Scale Generator Constrained Economic Dispatch Problem

  • Adhinarayanan, T.;Sydulu, M.
    • Journal of Electrical Engineering and Technology
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    • 제4권3호
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    • pp.301-309
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    • 2009
  • A simple and efficient Lambda logic (${\lambda}-logic$) based algorithm is proposed for the solution of the generator constrained economic dispatch problem when the generating units having prohibited zones. The proposed method solves the economic dispatch (ED) problem that takes into account ramprate limits, transmission losses and prohibited operating zones in the power system operation. The proposed method uses a simple heuristic rule based on average power of prohibited operating zones which produces the feasibility of solution for the restricted operating units. The effectiveness of the algorithm is tested on five different test systems and the performance compared with other relevant methods reported in the literature. In all the cases, the proposed algorithm performs better than the previous existing algorithms with a less computational burden.

ON GENERALIZED LATTICE B2

  • HASAN KELES
    • Journal of Applied and Pure Mathematics
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    • 제5권1_2호
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    • pp.1-8
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    • 2023
  • This study is on a Boolean B or Boolean lattice L in abstract algebra with closed binary operation *, complement and distributive properties. Both Binary operations and logic properties dominate this set. A lattice sheds light on binary operations and other algebraic structures. In particular, the construction of the elements of this L set from idempotent elements, our definition of k-order idempotent has led to the expanded definition of the definition of the lattice theory. In addition, a lattice offers clever solutions to vital problems in life with the concept of logic. The restriction on a lattice is clearly also limit such applications. The flexibility of logical theories adds even more vitality to practices. This is the main theme of the study. Therefore, the properties of the set elements resulting from the binary operation force the logic theory. According to the new definition given, some properties, lemmas and theorems of the lattice theory are examined. Examples of different situations are given.