• 제목/요약/키워드: Adaptive Resonance System

검색결과 48건 처리시간 0.023초

고밀도 디스크 드라이브의 적응형 공진 보상 알고리즘 (Adaptive Suppression of Mechanical Resonance in High-Density Disk Drives)

  • 강창익;김창환
    • 제어로봇시스템학회논문지
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    • 제9권9호
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    • pp.679-691
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    • 2003
  • The band-width of disk drive servo system is rapidly increasing for the robustness to external disturbance as the track density is increasing. The increase of the band-width may cause mechanical resonance of an actuator. In disk drive servo system, a notch filter is usually used to suppress the mechanical resonance of the actuator. However, the resonance frequency differs from drive to drive because of manufacturing tolerance and varies with temperature even within a single drive. The variation of resonance frequency degrades the suppression performance of the notch filter. In this paper, we present an adaptive digital notch filter that identifies the resonance frequency of the disk drive servo actutaor precisely and adjusts automatically its center frequency. For this, we design an adaptive FIR digital filter for the estimation of the resonance frequency. The estimation filter identifies the resonance frequency adaptively using the output signal generated from the servo system, which is excited with an excitation signal including all the expected resonance frequency components. We prove mathematically the convergence of the resonance frequency estimation filter. Furthermore, in order to demonstrate the practical use of our work, we present some experimental results using a commercially available disk drive.

LCL 필터가 결합된 단상 계통연계형 인버터의 안정화를 위한 적응형 디지털 노치 필터 (An Adaptive Digital Notch Filter for Stabilization of Single-Phase Grid-Connected Inverters With LCL Filter)

  • 허진용;김학수;노의철
    • 전력전자학회논문지
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    • 제26권5호
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    • pp.307-314
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    • 2021
  • Even though the LCL filters have superior harmonic attenuation ability to L filters, stability has always been an issue. The system could be unstable because of the resonance phenomenon, especially when digital controller is used. Adding a notch filter to the compensator is one approach to solve the problem. Resonance phenomenon can be inhibited by aligning notch frequency to system resonance frequency. However, resonance frequency variation can be obtained because the actual system has a nonstationary characteristic. Therefore, the system could be unstable, where the system parameters are changed when the conventional notch filter is used. An adaptive digital notch filter that stabilizes the system even system parameters are changed. Simulation and experiment results are provided to verify the validity of the proposed adaptive filter.

Adaptive Resonance Theory 2를 이용한 네트워크 기반의 침입 탐지 모델 연구 (Network based Intrusion Detection System using Adaptive Resonance Theory 2)

  • 김진원;노태우;문종섭;고재영;최대식;한광택
    • 정보보호학회논문지
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    • 제12권3호
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    • pp.129-139
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    • 2002
  • 인터넷의 확장에 따라서 네트워크를 통한 침입이 증가되고 있다. 이에 따라 네트워크를 통한 침입에 대하여 즉각적으로 탐지하고 대처하는 기술이 필요하게 되었다. 본 논문은 인터넷의 특성을 악용하여 침입하는 공격들을 탐지하기 위하여 Adaptive Resonance Theory2(ART2) 이론을 이용한다. 정상적인 packet과 여러 가지 공격툴을 사용하여 생산한 인위적인 공격 패킷에 대하여 ART2를 학습한 후 실험한 결과와 기존의 방식들과 비교 분석하였다.

하드디스크 드라이브 마이크로 구동기의 공진 영향 제거를 위한 적응 피드포워드 제어 (Adaptive Feedforward Rejection of Microactuator Resonance in Hard Disk Drive Dual-stage Actuator Servo)

  • 오동호;이승희;백상은;나희승
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.1596-1600
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    • 2000
  • We propose a novel adaptive feed forward controller (AFC) design method for rejecting the effect of micro actuator resonance in the design of dual-stage actuator servo systems for disk drives. Microactuator's resonance is one of important issues in dual-stage actuator servo, which varies up to ${\pm}10%$ per product and even during operation. We derive an adaptive algorithm for the proposed AFC design, which turns out to be identical to the delayed-x LMS algorithm which is a special form of the filtered-x LMS algorithm. In the algorithm, coefficients of the AFC are adapted by the residuals of constrained structure defined in such a way that the coefficients become time invariant. Contrary to the conventional AFC, it considers the phase delay of closed-loop transfer function at resonance frequency for system stability. We also apply an adaptive algorithm with frequency tracking capability. The frequency tracking algorithm is induced by the orthogonality of AFC coefficients. Computer simulations are carried out to demonstrate effect of the proposed AFCs.

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Adaptive Resonance Theory2를 이용한 침입탐지 시스템 (IDS System Using Adaptive Resonance Theory2)

  • 박현철;노태우;서재수;박일곤;김진원;문종섭;한광택;최대식;고재영
    • 한국정보보호학회:학술대회논문집
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    • 한국정보보호학회 2001년도 종합학술발표회논문집
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    • pp.43-47
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    • 2001
  • 본 논문은 신경망 이론중 하나인 Adaptive Resonance Theory(ART)을 사용하여 네트워크 상의 불법적인 침입을 탐지하는 기법에 대한 연구이다. ART는 비교사 학습을 하는 신경망으로써, 적응적인 학습능력이 있으며, 또 새로운 패턴에 대해서 새로운 클러스터를 생산하는 능력이 있다. ART의 이러한 특성을 이용하여, 여러 가지 침입패턴을 네트워크상에서 생산하여 학습을 시키고, 또 test 했으며, test 이후에도 on-line 상에서 새로운 공격 pattern도 찾아냄을 보였다. 따라서, 이미 알려진 침입뿐만 아니라 새롭게 발생하는 침입 기법에 대해서도 새로운 rule의 첨가 없이 적극적으로 대처할 수 있을 것으로 예측된다.

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Backbone assignment and structural analysis of anti-CRISPR AcrIF7 from Pseudomonas aeruginosa prophages

  • Kim, Iktae;Suh, Jeong-Yong
    • 한국자기공명학회논문지
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    • 제25권3호
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    • pp.39-44
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    • 2021
  • The CRISPR-Cas system provides adaptive immunity for bacteria and archaea against invading phages and foreign plasmids. In the Class 1 CRISPR-Cas system, multi-subunit Cas proteins assemble with crRNA to bind to DNA targets. To disarm the bacterial defense system, bacteriophages evolved anti-CRISPR (Acr) proteins that actively inhibit the host CRISPR-Cas function. Here we report the backbone resonance assignments of AcrIF7 protein that inhibits the type I-F CRISPR-Cas system of Pseudomonas aeruginosa using triple-resonance nuclear magnetic resonance spectroscopy. We employed various computational methods to predict the structure and binding interface of AcrIF7, and assessed the model with experimental data. AcrIF7 binds to Cas8f protein via flexible loop regions to inhibit target DNA binding, suggesting that conformational heterogeneity is important for the Cas-Acr interaction.

Robust control using Analog Adaptive Resonance Theory

  • 손준혁;서보혁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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    • pp.93-95
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    • 2006
  • In many control system applications, the system designed must not only satisfy the damping and accuracy specifications, but the control must also yield performance that is robust to external disturbance and parameter variations. We have shown that feedback in conventional control systems has the inherent ability of reducing the effects of external disturbance and parameter variations. Unfortunately, robustness with the conventional feedback configuration is achieved only with a high loop gain, which is normally detrimental to stability. The design of intelligent, autonomous machines to perform tasks that are dull, repetitive, hazardous, or that require skill, strength, or dexterity beyond the capability of humans is the ultimate goal of robotics research. This paper prove the robust control using Analog Adaptive Resonance Theorv(ART2) Algorithm about case study.

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An U-Healthcare Implementation for Diabetes Patient based on Context Awareness

  • Kim, Jeong-Won
    • Journal of information and communication convergence engineering
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    • 제7권3호
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    • pp.412-417
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    • 2009
  • With ubiquitous computing aid, it can improve human being's life quality if all people have more convenient medical service under pervasive computing environment. In this paper, for a pervasive health care application for diabetes patient, we've implemented a health care system, which is composed of three parts. Various sensors monitor both outer and inner environment of human such as temperature, blood pressure, pulse, and glycemic index, etc. These sensors form zigbee-based sensor network. And as a backend, medical information server accumulates sensing data and performs back-end processing. To simply transfer these sensing values to a medical team may be a low level's medical service. So, we've designed a model with context awareness for more improved medical service which is based on ART(adaptive resonance theory) neural network. Our experiments show that a proposed healthcare system can provide improved medical service because it can recognize current context of patient more concretely.

1H, 15N, and 13C Resonance Assignments of the Anti-CRISPR AcrIIA4 from Listeria monocytogenes Prophages

  • Kim, Iktae;Kim, Nak-Kyoon;Suh, Jeong-Yong
    • 한국자기공명학회논문지
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    • 제22권3호
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    • pp.71-75
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    • 2018
  • The CRISPR-Cas system is the adaptive immune system in bacteria and archaea against invading phages or foreign plasmids. In the type II CRISPR-Cas system, an endonuclease Cas9 cleaves DNA targets of phages as directed by guide RNA comprising crRNA and tracrRNA. To avoid targeting and destruction by Cas9, phages employ anti-CRISPR (Acr) proteins that act against host bacterial immunity by inactivating the CRISPR-Cas system. Here we report the backbone $^1H$, $^{15}N$, and $^{13}C$ resonance assignments of AcrIIA4 that inhibits endonuclease activity of type II-A Listeria monocytogenes Cas9 and also Streptococcus pyogenesis Cas9 using triple resonance nuclear magnetic resonance spectroscopy. The secondary structures of AcrIIA4 predicted by the backbone chemical shifts show an ${\alpha}{\beta}{\beta}{\beta}{\alpha}{\alpha}$ fold, which is used to determine the solution structure.