• Title/Summary/Keyword: load adaptive

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A Study on the Cutter Runout In-Process Compensation Using Repetitive Loaming Control (반복학습제어를 이용한 커터 런아웃 보상에 관한 연구)

  • Hwang, Joon;Chung, Eui-Sik;Hwang, Duk-Chul
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.3
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    • pp.137-143
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    • 2002
  • This paper presents the In-process compensation to control cutter runout and improve the machined surface quality. Cutter runout compensation system consists of the micro-positioning servo system with piezoelectric actuator which is embeded in the sliding table to manipulate radial depth of cut in real-time. Cutting force feedback control was proposed in the angle domain based upon repetitive learning control strategy to eliminate chip load variation in end milling process. Micro-positioning control due to adaptive actuation force response improves the machined surface quality by compensation runout effect induced cutting force variation. This result will provide lots of information to build-up the preciswion machining technology.

Low-Complexity Watermarking into SAO Offsets for HEVC Videos

  • Wu, Xiangjian;Jo, Hyun-Ho;Sim, Donggyu
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.4
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    • pp.243-249
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    • 2016
  • This paper proposes a new watermarking algorithm to embed watermarks in thr process of sample adaptive offsets (SAO) for high efficiency video coding (HEVC) compressed videos. The proposed method embeds two-bit watermark into the SAO offsets for each coding tree unit (CTU). To minimize visual quality degradation caused by embedding watermark, watermark bits are embedded into SAO offset depending on the SAO types of block. Furthermore, the embedded watermark can be extracted by simply adding four offsets and checking their least significant bits (LSB) at the decoder side. The experimental results show that the proposed method achieves 0.3% BD-rate increase without much visual quality degradation. Two-bit watermark for each CTU is embedded for more bit watermarking. In addition, the proposed method requires negligible computational load for watermark insertion and extraction.

A study on the Stick-slip Characteristic of Machine Tool Feeding System. (공작기계 이송계의 Stick-Slip 특성에 관한 연구)

  • Park, Jong-Gwon;Lee, Hu-Sang
    • 한국기계연구소 소보
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    • s.18
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    • pp.29-35
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    • 1988
  • When low sliding velocities in the boundary lubrication range are operating, irregular movements frequently occur which are a result of the stick-slip phenomenon. Such slide motions are undesirable in precision machine tools, particularly with feed back systems used in numerical and adaptive control machine tools. Accordingly, this paper reports analytical and experimental studies in the stick-slip characteristic of machine tool feeding system. The main conclusions of this study are as follows; The tendency towards stick-slip effects may be reduced by; 1). Reducing the drop in friction coefficient in the Stribeck curve(on the rising part of the friction characteristic at higher sliding speeds, the system is stable all the time) 2). Reducing the transition velocity by the use of a higher viscosity lubricating oil. 3). Increasing the stiffness(Damping)and reducing normal load(Sliding mass) Therefore, the Critical velocity is decided from the above conclusions and in designing of machine tool, feed rates(sliding velocity)must be design the more than critical velocity.

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A torque estimation and Switching Angle Control of SRM using Neural Network (신경회로망을 이용한 SRM의 토크 추정과 스위칭 각 제어)

  • Baik Won-Sik;Kim Nam-Hun;Choi Kyeong-Ho;Kim Dong-Hee;Kim Min-Huei
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.33-37
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    • 2002
  • This paper presents a simple torque estimation method and the switching angle control of SRM using Neural Network. SRM has gaining much interest as industrial applications due to the simple structure and high efficiency. Adaptive switching angle control is essential for the optimal driving of a SRM because of the driving characteristic varies with the load and speed. The proper switching angle which can increase the efficiency was investigated in this paper Neural Network was adapted to regulate the switching angle and nonlinear inductance modelling. Experimental result shows the validity of the switching angle controller.

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Control Method of NPC Inverter for Continuous Operation Under One Phase Fault Condition (3상 NPC 인버터의 한상 고장시 연속적인 운전을 위한 제어기법)

  • Park Gun-Tae;Kim Tae-Jin;Kang Dae-Wook;Hyun Dong-Seok
    • Proceedings of the KIPE Conference
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    • 2003.11a
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    • pp.6-10
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    • 2003
  • The reliability of power electronics system is very important In industrial, commercial and military applications. This paper presents the principles for NPC inverter as an available technology for the design and implementation of adaptive fault tolerant systems. The fault tolerance is obtained by the use of the particular construction. The control method is proposed to get the sinusoidal load current with constant amplitude. The strategy described in this paper is expected to provide an economic alternative to more expensive redundancy techniques which find justification only in a few specialized application.

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Online Load Estimation Method of High Frequency Induction Heat System (고주파 유도가열 장치의 실시간 부하예측 기법에 관한 연구)

  • Park, Tae-Joon;Kim, Tae-Won;Lee, Seung-Hee;Lee, Jin-Hee;Han, Mu-Ho;Lee, Hwang-Ha
    • Proceedings of the KIPE Conference
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    • 2010.07a
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    • pp.123-124
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    • 2010
  • 본 논문은 고주파 유도가열 장치의 실시간 부하 예측 기법을 제안한다. 인버터 출력전압과 콘덴서 양단전압을 센싱하여 adaptive parameter estimation 기법을 이용하여 피가열체인 부하의 등가저항과 인덕턴스를 구한다. 제안된 방법을 이용하여 부하 발열량과 콘덴서 뱅크의 Q factor를 실시간 예측할 수 있다. 콘덴서 뱅크의 Q factor를 통해 부하 부담률을 알 수 있으므로 뱅크의 파손 등의 사고를 미연에 방지 할 수 있게 한다. 본 논문에서 제안한 알고리즘의 타당성을 시뮬레이션을 통해 확인하였고 모의실험장치에 적용하여 실험을 통해 검증하였다.

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Load-Adaptive Management of Interest Area on a Large-scaled Distributed Virtual Environment (대규모 분산 가상환경 상에서 관심영역의 부하 적응적 관리)

  • Kim, Sang-Uk;Lee, Tae-Jong;Kim, Seong-Jo
    • Journal of KIISE:Computer Systems and Theory
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    • v.28 no.7
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    • pp.317-330
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    • 2001
  • 대규모 가상환경의 핵심은 사용자 PC의 성능에 영향을 받는 확장성에 있다. 기존의 접근 방식은 대규모 환경을 지원하기 위해 멀티캐스트를 주로 사용하였다. 그러나 멀티캐스트는 현재 멀티캐스트 하드웨어가 지원할 수 있는 그룹의 수가 제한된다는 문제점이 있다. 본 논문에서는 PC 클라이언트와 인터넷과 같은 대규모 네트워크 기반의 확장성 높은 가상환경 모델을 제시한다. 멀티캐스트 네트워크와 PC 클라이언트 사이에 위치하는 관심영역 관리자(AOIM)는 멀티캐스트 그룹과 함께 다중 필터링을 수행하여 정보의 흐름을 최적화한다. 또한, 관심영역 관리자는 사용자의 관심 패턴에 따라 관심영역(AOI)으로부터 PC 클라이언트로의 데이터 전송량을 조절한다. 관심영역은 정보의 정확도에 따라 세 단계로 구분되며, 각 단계의 구분은 네트워크 현황에 따라 적응적으로 수축 또는 확장될 수 있어 PC 클라이언트는 최적화된 가상환경 상태정보를 제공받는다. 결론적으로, 제안된 모델은 다양한 컴퓨팅 환경의 PC 클라이언트에게 정확한 최우선 관심영역 정보를 제공한다.

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In-Process Cutter Runout Compensation Using Repetitive Learning Control

  • Joon Hwang;Chung, Eui-Sik
    • International Journal of Precision Engineering and Manufacturing
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    • v.4 no.4
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    • pp.13-18
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    • 2003
  • This paper presents the in-process compensation to control cutter ronout and to improve the machined surface quality. Cutter ronout compensation system consists of the micro-positioning servo system with piezoelectric actuator which is embeded in the sliding table to manipulate radial depth of cut in real-time. Cutting force feedback control was proposed in the angle domain based upon repetitive learning control strategy to eliminate chip load variation in end milling process. Micro-positioning control due to adaptive actuation force response improves the machined surface quality by cutter ronout compensation.

A Survey of Energy Efficiency Optimization in Heterogeneous Cellular Networks

  • Abdulkafi, Ayad A.;Kiong, Tiong S.;Sileh, Ibrahim K.;Chieng, David;Ghaleb, Abdulaziz
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.2
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    • pp.462-483
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    • 2016
  • The research on optimization of cellular network's energy efficiency (EE) towards environmental and economic sustainability has attracted increasing attention recently. In this survey, we discuss the opportunities, trends and challenges of this challenging topic. Two major contributions are presented namely 1) survey of proposed energy efficiency metrics; 2) survey of proposed energy efficient solutions. We provide a broad overview of the state of-the-art energy efficient methods covering base station (BS) hardware design, network planning and deployment, and network management and operation stages. In order to further understand how EE is assessed and improved through the heterogeneous network (HetNet), BS's energy-awareness and several typical HetNet deployment scenarios such as macrocell-microcell and macrocell-picocell are presented. The analysis of different HetNet deployment scenarios gives insights towards a successful deployment of energy efficient cellular networks.

A Moving Target Tracking Algorithm Using Integral Projection (가산 투엽법을 이용한 이동 물체 추적 방법)

  • 김태원;서일홍;양해원;오상록;임달호
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.38 no.7
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    • pp.569-581
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    • 1989
  • This paper deals with a tracking algorithm based on integral projection which tracks moving targets with varying brightness and size. An adaptive windowing technique is employed to reduce the sensitivity of the system to the complex background image and also to reduce the computational load. The threshold value is determined by considering both the size and the threshold value of the brightness intensity of the recognized target obtained in the previous processing step. Window position is estimated by using the information of the velocity and acceleration of the target. And integral projection is applied to find the position of the target in the window accurately. Experimental results show that moving targets with varying brightness and size can be tracked properly in noisy environments.

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