• Title/Summary/Keyword: Instrumentation Structure

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Kernel-level Software instrumentation via Light-weight Dynamic Binary Translation (경량 동적 코드 변환을 이용한 커널 수준 소프트웨어 계측에 관한 연구)

  • Lee, Dong-Woo;Kim, Jee-Hong;Eom, Young-Ik
    • Journal of Internet Computing and Services
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    • v.12 no.5
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    • pp.63-72
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    • 2011
  • Binary translation is a kind of the emulation method which converts a binary code compiled on the particular instruction set architecture to the new binary code that can be run on another one. It has been mostly used for migrating legacy systems to new architecture. In recent, binary translation is used for instrumenting programs without modifying source code, because it enables inserting additional codes dynamically, For general application, there already exists some instrumentation software using binary translation, such as dynamic binary analyzers and virtual machine monitors. On the other hand, in order to be benefited from binary translation in kernel-level, a few issues, which include system performance, memory management, privileged instructions, and synchronization, should be treated. These matters are derived from the structure of the kernel, and the difference between the kernel and user-level application. In this paper, we present a scheme to apply binary translation and dynamic instrumentation on kernel. We implement it on Linux kernel and demonstrate that kernel-level binary translation adds an insignificant overhead to performance of the system.

Long-Term Analysis for the effect of Ovariectomy on Rat Bone using Micro Finite Element Method (미세 유한요소법을 이용한 난소제거가 쥐뼈에 미치는 영향의 장기간 분석)

  • Ko C.Y;Woo D.G.;Lee T.W.;Kim H.S.;Lee B.Y.;Tack G.R.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.236-239
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    • 2005
  • This study investigated the effect of ovariectomy (OVX) on the rat bone fur long term (22 weeks). In previous researches, there were many studies for morphology of OVX-induced osteoporotic bones based on micro-Computed Tomography (micro-CT). However, there were few studies fpr detecting and tracking changes of mechanical characteristics in the lumbar vertebrae of OVX rat fur long-term. For this study, one female Sprague-Dawley rat was used: an OVX rat. The 4th lumbar of the OVX rat was utilized as a specimen. Morphological characteristics could be investigated fur the lumbar vertebrae in an OVX rat by using in-vivo Micro-CT. An OVX rat was scanned at week 0 (just before surgery), at week 4, at week 8, at week 16 and at week 22 after surgery. Micro finite element $({\mu}FE)$ analysis was used to investigate mechanical characteristics in the lumbar vertebrae for an OVX rat.

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Implementation and tuning of adaptive generalized predictive PID for process control (공정 제어를 위한 적응 GP-PID의 구현과 동조)

  • Lee, Chang-Gu;Seol, O-Nam;Kim, Seong-Jung
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.2
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    • pp.197-203
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    • 1997
  • In this paper, we present a GP-PID(Generalized Predictive PID) controller which has the same structure as a generalized predictive control with steady-state weighting. The proposed controller can perform better than the conventional PID controller because it includes intrinsic delay-time compensator. The PID tuning parameters and delay-time compensator are calculated by equating the two degree of freedom PID to a linear form of GPC. The proposed controller is combined with a supervisor for safe start and self-tuning. GP-PID controller has been tested for various numerical models and an experimental stirred tank heater. As a result, it was observed that the proposed controller shows a satisfactory performance for variable delay as well as stochastic disturbance.

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Optimal Control of Induction Motor Using Immune Algorithm Based Fuzzy Neural Network

  • Kim, Dong-Hwa;Cho, Jae-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1296-1301
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    • 2004
  • Fuzzy logic, neural network, fuzzy-neural network play an important as the key technology of linguistic modeling for intelligent control and decision making in complex systems. The fuzzy -neural network (FNN) learning represents one of the most effective algorithms to build such linguistic models. This paper proposes learning approach of fuzzy-neural network by immune algorithm. The proposed learning model is presented in an immune based fuzzy-neural network (FNN) form which can handle linguistic knowledge by immune algorithm. The learning algorithm of an immune based FNN is composed of two phases. The first phase used to find the initial membership functions of the fuzzy neural network model. In the second phase, a new immune algorithm based optimization is proposed for tuning of membership functions and structure of the proposed model.

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Immune Algorithms Based 2-DOF Controller Design and Tuning For Power Stabilizer

  • Kim, Dong-Hwa;Park, Jin-Ill
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2278-2282
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    • 2003
  • In this paper the structure of 2-DOF controller based on artificial immune network algorithms has been suggested for nonlinear system. Up to present time, a number of structures of the 2-DOF controllers are considered as 2-DOF (2-Degrees Of Freedom) control functions. However, a general view is provided that they are the special cases of either the state feedback or the modification of PID controllers. On the other hand, the immune network system possesses a self organizing and distributed memory, also it has an adaptive function by feed back law to its external environment and allows a PDP (parallel distributed processing) network to complete patterns against the environmental situation, since antibody recognizes specific antigens which are the foreign substances that invade living creatures. Therefore, it can provide optimal solution to external environment. Simulation results by immune based 2-DOF controller reveal that immune algorithm is an effective approach to search for 2-DOF controller.

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Analytical Approach for Optimal Allocation of Distributed Generators to Minimize Losses

  • Kaur, Navdeep;Jain, Sanjay Kumar
    • Journal of Electrical Engineering and Technology
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    • v.11 no.6
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    • pp.1582-1589
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    • 2016
  • In this paper the integration of Distributed Generation (DG) in radial distribution system is investigated by computing the optimal site and size of DG to be placed. An analytical expression based on equivalent current injection has been derived by utilizing topological structure of radial distribution system to find optimal size of DG to minimize losses. In the presented formulation, the optimal DG placement is obtained without repeatedly computing the load flow. The proposed formulation can be used to find the optimal size of all types of DGs namely Type-I, Type-II, Type-III and Type-IV DGs. The investigations are carried out on IEEE 33-bus and 69-bus radial distribution systems. The optimal DG placement results into reduction in active and reactive power losses and improvement in voltage profile of the buses.

A micro DC-DC converter using LTCC technology (LTCC 기술을 이용한 초소형 전원 모듈)

  • Choi, Dong-Chan;Kim, Chan-Young;Kim, Hee-Jun
    • Proceedings of the KIEE Conference
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    • 2003.10b
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    • pp.193-196
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    • 2003
  • This paper describes a micro DC-DC converter using LTCC(Low Temperature Cofired Ceramics) technology. We have designed a inductor, an embedded structure to maximize the effect of miniaturizing, and applied the Neumann's formula to calculate inductance. Also, we have implemented a micro DC-DC conveter of which whole volume is $13{\times}18{\times}0.13[mm^3]$ by embeding other passive components such as resistors and capacitors.

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Image Processing and Cryo-Transmission Electron Microscopy; Example of Human Proteasome

  • Choi, Hyosun;Jeon, Hyunbum;Noh, Seulgi;Kwon, Ohkyung;Mun, Ji Young
    • Applied Microscopy
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    • v.48 no.1
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    • pp.1-5
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    • 2018
  • Cryo-transmission electron microscopy (cryo-TEM) allows us to perform structural analysis of a analyses of large protein complexes, which are difficult to analyze using X-ray crystallography or nuclear magnetic resonance. The most common examples of proteins used are ribosomes and proteasomes. In this paper, we briefly describe the advantage of cryo-TEM and the process of two-dimensional classification by considering a human proteasome as an example.

Improved Response of the Plant with an Integrator and Long Dead Time (적분기와 큰 시간지연을 가지는 플랜트에 대한 응답특성 개선)

  • Yang, Seung-Hyun;Park, Yong-Sik;Hur, Myung-Jun;Lee, Suk-Won
    • Proceedings of the KIEE Conference
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    • 1999.11c
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    • pp.515-517
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    • 1999
  • This paper considers the design of the effective controllers for the plant with an integrator and a long deadtime. The structure of the new DTC(DeadTime Compensator) that has an additive filter is proposed. Our DTC shows the improved performance in set-point response and disturbance rejection. Especially the bad effect of the long deadtime in the disturbance rejection is fairly reduced by using the additive filter. Illustrative examples are provided to show the availability of the proposed controller.

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Network Lunar Science for International Lunar Network (ILN)

  • Choi, Young-Jun;Moon, Hong-Kyu;Yim, Hong-Suh;Lee, Duk-Hang;Park, Jang-Hyun;Han, Won-Yong
    • Bulletin of the Korean Space Science Society
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    • 2008.10a
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    • pp.37.4-38
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    • 2008
  • Recently, statement of Intent for ILN has been signed by 9 countries including Korea, initiated March of this year by NASA which invited countries having lunar exploration plans. Concept of ILN is placing several core set of instrumentation on the Moon, in order to maximize scientific return to all of the participants. Network measurements from various nodes on lunar surface is essential for understanding internal structure of the Moon and environment around the Moon. Currently, Core Instrument Working Group is discussing the scientific interests and instrumentation among participated countries. Korea also is looking over various ways to participate ILN. We will introduce the progress and possible lunar science of ILN and will discuss the science mission objectives.

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