• Title/Summary/Keyword: Electronic state

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A Study on the Uniform Electronic Transactions Act (미국의 통일전자거래법(UETA)에 관한 고찰)

  • 전순환
    • The Journal of Information Technology
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    • v.5 no.1
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    • pp.173-190
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    • 2002
  • In the face of this bewildering array of approaches to the problem, in 1997, the National Conference of Commissioners on Uniform State Laws (NCCUSL) undertook to produce a new uniform law that would bring some order and consistency to state legislation in this area. The NCCUSL drafting committee worked on a highly expedited drafting schedule, and a completed draft of UETA was finalized and approved ill July 1999.15.

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Recursive State Space Model Identification Algorithms Using Subspace Extraction via Schur Complement

  • Takei, Yoshinori;Imai, Jun;Wada, Kiyoshi
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.525-525
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    • 2000
  • In this paper, we present recursive algorithms for state space model identification using subspace extraction via Schur complement. It is shown that an estimate of the extended observability matrix can be obtained by subspace extraction via Schur complement. A relationship between the least squares residual and the Schur complement matrix obtained from input-output data is shown, and the recursive algorithms for the subspace-based state-space model identification (4SID) methods are developed. We also proposed the above algorithm for an instrumental variable (IV) based 4SID method. Finally, a numerical example of the application of the algorithms is illustrated.

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Energy-aware Multi-dimensional Resource Allocation Algorithm in Cloud Data Center

  • Nie, Jiawei;Luo, Juan;Yin, Luxiu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.9
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    • pp.4320-4333
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    • 2017
  • Energy-efficient virtual resource allocation algorithm has become a hot research topic in cloud computing. However, most of the existing allocation schemes cannot ensure each type of resource be fully utilized. To solve the problem, this paper proposes a virtual machine (VM) allocation algorithm on the basis of multi-dimensional resource, considering the diversity of user's requests. First, we analyze the usage of each dimension resource of physical machines (PMs) and build a D-dimensional resource state model. Second, we introduce an energy-resource state metric (PAR) and then propose an energy-aware multi-dimensional resource allocation algorithm called MRBEA to allocate resources according to the resource state and energy consumption of PMs. Third, we validate the effectiveness of the proposed algorithm by real-world datasets. Experimental results show that MRBEA has a better performance in terms of energy consumption, SLA violations and the number of VM migrations.

Electrical property of polyvinylalcohol (Polyvinylalcohol의 전기적 특성)

  • 김현철;구할본
    • Electrical & Electronic Materials
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    • v.8 no.2
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    • pp.184-189
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    • 1995
  • The electrical property of ultra thin PVA films(several hundreds .angs.-several .mu.m in thickness) formed by sphere bulb blowing technique, has been studied. The electrical conductivity of relatively thick films(>several thousands .angs.) has been very high and enhanced by the exposure either to high humidity of air or $NH_3$, which can be explained in terms of the role of ionic transport. The use of PVA films as NH$_{3}$ sensor is also proposed. In ultra thin PVA films less than 1500.angs., two conducting states ; high conducting and low conducting states, are observed. The nonlinear current-voltage characteristics in the low conducting state and the switching between these two states are also confirmed. These properties are discussed in terms of electronic conduction processes. The breakdown strength of the ultra thin PVA film is found to be very high(-30MV/cm), supporting the electron avalanche process in a thick polymer films.

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A study on Generalized Synchronization in the State-Controlled Cellular Neural Network(SC-CNN)

  • Rae Youngchul;Kim Yi-gon;Tinduka Mathias
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.4
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    • pp.291-296
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    • 2005
  • In this paper, we introduce a generalized synchronization method and secure communication in the State-Controlled Cellular Neural Network (SC-CNN). We make a SC-CNN using the n-double scroll. A SC-CNN is created by applying identical n-double scroll or non-identical n-double scroll and Chua's oscillator with weak coupled method to each cell. SC-CNN synchronization was achieved using GS(Generalized Synchronization) method between the transmitter and receiver about each state variable in the SC-CNN. In order to secure communication, we have synthesizing the desired information with a SC-CNN circuit by adding the information signal to the hyper-chaos signal using the SC-CNN in the transmitter. And then, transmitting the synthesized signal to the ideal channel, we confirm secure communication by separating the information signal and the SC-CNN signal in the receiver.

Dynamic Characteristics of Boost Input Type ZVS Converter using the Active Clamp Circuit (능동 클램프 회로를 이용한 Boost 입력형 ZVS 컨버터의 동특성 해석)

  • Kim, Seong-Nam;O, Yong-Seung;Kim, Hui-Jun
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.51 no.10
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    • pp.595-600
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    • 2002
  • This paper presents the analyzed results of dynamic characteristics including steady state characteristics of the boost input type ZVS converter using the active clamp circuit by the state space averaging method. From the results, it can be seen that the converter has the 5th order transfer functions and the stable closed loop characteristic is obtained by using the compensated error amplifier with 2-pole and 1-zero. The validity of all analyzed results are verified by measurement.

Inversion-Based Robust Output Tracking of Differentially Flat Nonlinear Systems

  • Joo, Jin-Man;Park, in-Bae;Park, Yoon-Ho
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.1
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    • pp.21-26
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    • 2001
  • In this study, we propose a two degree of freedom robust output tracking control method for a class of nonlinear system. We consider hyperbolically nonminimum phase single-input single-output uncertain nonlinear systems. We also consider the case that the nominal input-state equation is differentially flat. Nominal stable state trajectory is obtained in the flat output space via the flat output. Nominal feedforward control input is also computed from the nominal state trajectory. Due to the nature of the method, the generated flat output trajectory and control input are noncausal. Robust feedback control is designed to stabilize the systems around the nominal trajectory. A numerical example is given is given to demonstrate that robust tracking is achieved.

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The Study on Adaptive ignition for HID lamps according to lamp state (램프 상태 적응형 점등 방법에 관한 연구)

  • Jo, Gye-Hyun;Song, Myoung-Suk;Park, Chong-Yeun
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2004.05a
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    • pp.205-209
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    • 2004
  • The metal halide lamps are now widely used in the application and commercial lighting due to their attracting properties such as good color rendering and high efficiency. But they have the serious problem of acoustic resonance for high frequency operation and they need the high voltage to ignite. So, they have not been applied to indoors. Over the past few years, a considerable number of studies have been conducted on the electronic ballast together with hot restarting and resonance phenomenon. But very few attempts have been made with the adaptive ignition method according to the lamp state. In this paper, electronic ballast is proposed for metal halide lamps with an igniter for adaptive ignition. The proposed electronic ballast can generate different ignition voltages according to the arc tube state.

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Precision Speed Control of PMSM Using Neural Observer (Neural Observer를 이용한 PMSM의 정밀 속도 제어)

  • Ko Jong-Sun;Lee Yong-Jae;Lee Tae-Hoon
    • Proceedings of the KIPE Conference
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    • 2002.11a
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    • pp.53-56
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    • 2002
  • This paper presents neural observer that used to deadbeat load torque observer. Most practical systems are nonlinear, and it is general practice to use linear models to simplify their analysis and design. However, the locally linearized model is invalid for a large signal change. The neural observer is suggested to increase the performance of the load torque observer and main controller The output error and estimeted state is trianed by neural network of neural observer. As a result, the state estimation error is minimised and deadbeat load torque observer make use of corrected esimation state. To reduce of the noise effect of deadbeat load torque observer, the post-filter which is implemented by MA process, is adopted. As a result, the proposed control system becomes a robust and precise system against the load torque. A stability and usefulness, through the verified computer simulation, are shown in this paper.

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