• Title/Summary/Keyword: Self-adaptive

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Background Removing for Digital image self-adaptive acquisition in medical X-ray imaging

  • Li, Xun;Kim, Young-Ju;Song, Young-Jun
    • International Journal of Contents
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    • v.4 no.1
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    • pp.12-15
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    • 2008
  • In this paper, we propose a new method of background removing for digital self-adaptive acquisition in medical X-ray imaging. We analysis the construction of video digital acquisition system and main factors of acquired image quality, propose a more efficiency method to against background non-uniformly. With proposed method, non-uniform illumination back ground was well removed without image quality degradation.

Optimal proportioning of concrete aggregates using a self-adaptive genetic algorithm

  • Amirjanov, Adil;Sobol, Konstantin
    • Computers and Concrete
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    • v.2 no.5
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    • pp.411-421
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    • 2005
  • A linear programming problem of the optimal proportioning of concrete aggregates is discussed; and a self-adaptive genetic algorithm is developed to solve this problem. The proposed method is based on changing a range of variables for capturing the feasible region of the optimum solution. A computational verification of this method is compared with the results of the linear programming.

Adaptive array processing (적응 어레이 프로세싱)

  • 이상철
    • 전기의세계
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    • v.29 no.9
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    • pp.584-593
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    • 1980
  • Conventional radar antenna systems are susceptible to performance degradation caused by unwanted signals received via the antenna sidelobes and/or mainlobes. Adaptive array systems offer possible solution to this interference problem by automatically steering nulls to unwanted signals providing significant system performance improvement. Another important andvantage of the adaptive array is its self-optimization capability which uses the collective incoming noise data for the nulling purposes. This paper provides a tutorial introduction to adaptive arrays as well as some new development of recent research in this area. Optimum link between the antenna theory and signal processing has been sought by illustrating the gain patterns and output signal-to-noise ratio. Signal acqusition methods are shown including a new attempt of the use of spread-spectrum techniques in conjuction with array systems.

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

  • 권정진;한우용;이창구;김성중
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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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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Self-Adaptive Technologies for Ultra-Large-Scale(ULS) Systems (Ultra-Large-Scale 시스템을 위한 자율적응형 기술 연구)

  • Chung, Duck-Won;Lee, Dong-Hoon;Min, Dug-Ki
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06d
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    • pp.322-326
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    • 2008
  • 시스템의 규모가 대형화되어 감에 '시스템의 시스템'의 형태로써 대규모 사이즈의 프로그램 다양한 목적을 가진 사용자들, 대규모 저장 데이터양과 처리, 소프트웨어 컴포넌트간의 복잡한 연결상과 상호 의존성, 하드웨어의 다양성등을 포함하는 초대형 규모로 발전하고 있다. 또한 유, 무선 인터넷의 보편화와 소형기기들의 인터넷화 및 기존 서비스들의 개방화가 진행됨에 따라 새로운 독자적인 서비스를 만들기 보다는 SOA기반의 기존 시스템을 통합하여 새로운 서비스를 만드는 시도가 일어나고 있다. 최근 진행되고 있는 국가 및 산업의 대형 프로젝트들은 이러한 흐름에 따라 IT기술을 융합한 소프트웨어 기반의 초 대형 시스템 (Ultra Large Scale System)을 필요로 하고 있다. 이에 본 논문에서는 이러한 정보와 시스템의 대규모화에 대한 즉각적인 대처를 할 수 있는 Ultra Large Scale 시스템의 자율적응형 (Self-Adaptive) 기술 연구를 위하여 Self-Healing, Self-Integrating, Self-Orchestrating, Self-Managing, Self-Adaptring의 5가지 관점에서의 연구를 제안한다. 본 논문에서 제안하고 있는 연구의 파급 효과를 극대화 할 수 있는 영역은 e-Biz 시스템 u-city 시스템, USN 기반 물류 시스템 자동차 및 조선 사업의 IT융합 등의 대규모 시스템이 될 것이다.

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A hybrid self-adaptive Firefly-Nelder-Mead algorithm for structural damage detection

  • Pan, Chu-Dong;Yu, Ling;Chen, Ze-Peng;Luo, Wen-Feng;Liu, Huan-Lin
    • Smart Structures and Systems
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    • v.17 no.6
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    • pp.957-980
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    • 2016
  • Structural damage detection (SDD) is a challenging task in the field of structural health monitoring (SHM). As an exploring attempt to the SDD problem, a hybrid self-adaptive Firefly-Nelder-Mead (SA-FNM) algorithm is proposed for the SDD problem in this study. First of all, the basic principle of firefly algorithm (FA) is introduced. The Nelder-Mead (NM) algorithm is incorporated into FA for improving the local searching ability. A new strategy for exchanging the information in the firefly group is introduced into the SA-FNM for reducing the computation cost. A random walk strategy for the best firefly and a self-adaptive control strategy of three key parameters, such as light absorption, randomization parameter and critical distance, are proposed for preferably balancing the exploitation and exploration ability of the SA-FNM. The computing performance of the SA-FNM is evaluated and compared with the basic FA by three benchmark functions. Secondly, the SDD problem is mathematically converted into a constrained optimization problem, which is then hopefully solved by the SA-FNM algorithm. A multi-step method is proposed for finding the minimum fitness with a big probability. In order to assess the accuracy and the feasibility of the proposed method, a two-storey rigid frame structure without considering the finite element model (FEM) error and a steel beam with considering the model error are taken examples for numerical simulations. Finally, a series of experimental studies on damage detection of a steel beam with four damage patterns are performed in laboratory. The illustrated results show that the proposed method can accurately identify the structural damage. Some valuable conclusions are made and related issues are discussed as well.

Exploration of the relationship between adaptive use and maladaptive use in game : Focusing on the types of game users of middle school students, and the differences in self-control, peer-support, and game usage between groups (게임 선용과 과몰입의 관계 탐색 :중학생의 게임이용집단 구분과 자기통제력, 또래 지지, 게임이용량의 차이를 중심으로)

  • Kim, Hyoung-Jee
    • Journal of Korea Game Society
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    • v.21 no.1
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    • pp.113-124
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    • 2021
  • This study distinguished game use groups by considering adaptive game use and maladaptive game use of middle school students at the same time, and analyzed the difference in lack of self-control, peer-support, and game usage by group. To this end, the data of 287 middle school students was analyzed in the Game User Panel Survey(5th year) of the KOCCA. As a result of the cluster analysis, the game use groups were divided into the high level coexist group, the adaptive use group, and the normal group. The three groups showed the gap of lack of self-control, peer-support, and game usage.

A Study on the Design of Excitation Controller using Self Tuning Adaptive Control (자기동조 적응제어를 이용한 여자제어기 설계에 관한 연구)

  • Yoo, Hyun-Ho;Lee, Sang-Keun;Kim, Joon-Hyun
    • Proceedings of the KIEE Conference
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    • 1991.07a
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    • pp.375-378
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    • 1991
  • This paper presents a design method of synchronous generator excitation controller using self-tuning PID algorithm. Controller parameter is determined by using adaptive control theory in order to maintain optimal operation of generator under the various operating conditions. To determine the optimal parameter of controller. minimum variance algorithm using the recursive leastsquare(RLS) indentification method is adopted and the difference between the speed deviation with weighted factor and voltage deviation is used as the input signal of adaptive controller, which provides good damping and conversion characteristics. The results tested on a single machine infinite bus system verify that the proposed controller has better dynamic performances than conventional controller.

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A fast adaptive numerical solver for nonseparable elliptic partial differential equations

  • Lee, June-Yub
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.2 no.1
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    • pp.27-39
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    • 1998
  • We describe a fast numerical method for non-separable elliptic equations in self-adjoin form on irregular adaptive domains. One of the most successful results in numerical PDE is developing rapid elliptic solvers for separable EPDEs, for example, Fourier transformation methods for Poisson problem on a square, however, it is known that there is no rapid elliptic solvers capable of solving a general nonseparable problems. It is the purpose of this paper to present an iterative solver for linear EPDEs in self-adjoint form. The scheme discussed in this paper solves a given non-separable equation using a sequence of solutions of Poisson equations, therefore, the most important key for such a method is having a good Poison solver. High performance is achieved by using a fast high-order adaptive Poisson solver which requires only about 500 floating point operations per gridpoint in order to obtain machine precision for both the computed solution and its partial derivatives. A few numerical examples have been presented.

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Self Tuning Adaptive Fuzzy Sliding Mode Control for Uncertain Nonlinear Systems (불확실한 비선형 계통에 대한 자기 동조 적응 퍼지 슬라이딩 모드 제어)

  • Kim Dong-Sik;Park Gwi-Tae;Seo Sam-Jun
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.4
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    • pp.228-234
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    • 2005
  • In this paper, we proposed a self tuning adaptive fuzzy sliding control algorithms using gadient descent method to reduce chattering phenomenon which is viewed in variable control system. In design of FLC, fuzzy control rules are obtained from expert's experience and intuition and it is very difficult to obtain them. We proposed an adaptive algorithm which is automatically updated by consequence part parameter of control rules in order to reduce chattering phenomenon and simultaneously to satisfy the sliding mode condition. The proposed algorithm has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of disturbance, parameter variations and uncertainties in the sliding mode. To demonstrate its performance, the proposed control algorithm is applied to an inverted pendulum system. The results show that both alleviation of chattering and performance are achieved.