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A Clustering Algorithm Using the Ordered Weight of Self-Organizing Feature Maps (자기조직화 신경망의 정렬된 연결강도를 이용한 클러스터링 알고리즘)

  • Lee Jong-Sup;Kang Maing-Kyu
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.3
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    • pp.41-51
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    • 2006
  • Clustering is to group similar objects into clusters. Until now there are a lot of approaches using Self-Organizing feature Maps (SOFMS) But they have problems with a small output-layer nodes and initial weight. For example, one of them is a one-dimension map of c output-layer nodes, if they want to make c clusters. This approach has problems to classify elaboratively. This Paper suggests one-dimensional output-layer nodes in SOFMs. The number of output-layer nodes is more than those of clusters intended to find and the order of output-layer nodes is ascending in the sum of the output-layer node's weight. We un find input data in SOFMs output node and classify input data in output nodes using Euclidean distance. The proposed algorithm was tested on well-known IRIS data and TSPLIB. The results of this computational study demonstrate the superiority of the proposed algorithm.

The Development of a Programmable Single-Phase AC Power Source with a Linear Power Amplifier

  • Jeon, Jeong-Chay;Jeon, Hyun-Jae;Yoo, Jae-Geun;Son, Jae-Hyun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.21 no.9
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    • pp.39-46
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    • 2007
  • This paper presents a programmable single-phase ac power source that provides a sinusoidal output voltage with an adjustable output amplitude and frequency over a wide range as well as an arbitrary waveform. The ac power source under consideration have a linear power amplifier. The desired output values can be programmed with a personal computer. The power source operates at 220[V]/60[Hz] mains and the output voltage is isolated from the input circuit. The system consists mainly of a power converter to generate and amplify the waveform signal, a controller to control the desired output signal and measure the output parameters, and a control program to set the desired output and display the values. The prototype ac power source was constructed and tested with the results demonstrating a good performance.

The RELAY Module Design of Multi SNS Channel Auto Streaming Server (다중 SNS 채널 자동 스트리밍 서버의 RELAY 모듈 설계)

  • Ahn, Heuihak;Lee, Daesik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.4
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    • pp.213-219
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    • 2017
  • Streaming server is that an image produced in real time or a file form of image produced ahead consists of SNS service, and the relay module of streaming server includes output management module that set an output channel more than 2 and control transmission of video content. This thesis intends to suggest how to stream through plural output channel that contains output channel of external streaming server using relay module and do streaming provided to terminal receiving image, and streaming server, streaming system for this. Thus, by extending output channel sending out image to output channel of external streaming server, the scale of streaming server is not limited and the process allotting external streaming server into output channel sending the image becomes simple, so management of output channel becomes efficient even when sending several images.

The Cascade PID Type Fuzzy Control Method

  • Lee, Jung-Hoon;Ki whan Eom;Lee, Yong-Gu
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.93.3-93
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    • 2001
  • We propose the cascade PID type fuzzy control method for a good performance such as robustness. The one of proposed method, the first stage have two input variables of an error and a derivative error, and one output variable, and the next stage have two input variables of the output of first stage and an integral error, and one output variable, have two stages. The other, the first stage has one input of an error, and one output variable, and the second stage have two input of the output of first stage and a derivative error, and one output variable, and the third stage have two input of the output of the second stage and an integer error, and one output variable ...

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A New Approach to Design of a Dynamic Output Feedback Stabilizing Control Law for LTI Systems

  • Son Young-Ik;Shim Hyungbo;Jo Nam-Hoon;Kim Kab-Il
    • Journal of Mechanical Science and Technology
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    • v.19 no.2
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    • pp.618-624
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    • 2005
  • We present a new state-space approach to construct a dynamic output feedback controller which stabilizes a class of linear time invariant systems. All the states of the given system are not measurable and only the output is used to design the stabilizing control law. In the design scheme, however, we first assume that the given system can be stabilized by a feedback law composed of the output and its derivatives of a certain order. Beginning with this assumption, we systematically construct a dynamic system which removes the need of the derivatives. The main advantage of the proposed controller is regarding the controller order, which may be smaller than that of conventional output feedback controller. Using a simple numerical example, it is shown that the order of the proposed controller is indeed smaller than that of reduced-order observer based output feedback controller.

Competitive Learning Neural Network with Dynamic Output Neuron Generation (동적으로 출력 뉴런을 생성하는 경쟁 학습 신경회로망)

  • 김종완;안제성;김종상;이흥호;조성원
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.9
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    • pp.133-141
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    • 1994
  • Conventional competitive learning algorithms compute the Euclidien distance to determine the winner neuron out of all predetermined output neurons. In such cases, there is a drawback that the performence of the learning algorithm depends on the initial reference(=weight) vectors. In this paper, we propose a new competitive learning algorithm that dynamically generates output neurons. The proposed method generates output neurons by dynamically changing the class thresholds for all output neurons. We compute the similarity between the input vector and the reference vector of each output neuron generated. If the two are similar, the reference vector is adjusted to make it still more like the input vector. Otherwise, the input vector is designated as the reference vector of a new outputneuron. Since the reference vectors of output neurons are dynamically assigned according to input pattern distribution, the proposed method gets around the phenomenon that learning is early determined due to redundant output neurons. Experiments using speech data have shown the proposed method to be superior to existint methods.

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Operation Scheme to Regulate Constant Active Power Output of Wind Turbine and Fuel-Cell Hybrid System (정출력 조정을 위한 풍력-연료전지 하이브리드 시스템의 운영 기법)

  • Kim, Yun-Seong;Moon, Dae-Seong;Won, Dong-Jun
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1174-1175
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    • 2008
  • A operation scheme to regulate the active power output of the hybrid system consisted of a doubly fed induction generator(DFIG) and a fuel-cell are presented. The power output of the wind turbine fluctuates as the wind speed varies and the slip power between the rotor circuit and power converter varies as the rotor speed change. A fuel cell system can be individually operated and adjusted output power. In this paper, a fuel-cell is performed to regulate the active output power in comparison with the active power output of a DFIG. Based on PSCAD/EMTDC power system tools, we simulated a DFIG and a fuel cell and investigated about dynamics of the output power in hybrid system.

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Analysis of Parallel-Input Series-Output(PISO) Boost Converter With Output Voltage Balancing Characteristic (병렬입력/직렬출력(PISO) 부스트 컨버터의 출력 전압 밸런싱 특성 해석)

  • Nam, Hyun-Taek;Cha, Honnyong;Kim, Heung-Geun
    • The Transactions of the Korean Institute of Power Electronics
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    • v.23 no.1
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    • pp.40-46
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    • 2018
  • In this study, the output voltage balancing characteristics of parallel-input series-output (PISO) boost converter is analyzed. The PISO boost converter is derived by combining two basic boost converters. In comparison with the conventional three-level boost converter, the PISO boost converter can balance the output voltages under an unbalanced load condition without requiring additional circuit components and control strategy. A 2 kW prototype converter is built and tested to verify the output voltage balancing characteristics of the PISO boost converter.

SHARE: PLA minimization based on an efficient output phase assignment (SHARE: 효율적인 출력 PHASE 할당을 이용한 PLA 최소화)

  • 이영호;정정화
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.30A no.12
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    • pp.108-116
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    • 1993
  • When realizing a multiple-output function by a PLA, there is often the flexibility to choose either uncomplementary or complementary phase for each output. In this case, it is possible to significantly reduce the number of product terms by fully exploiting the freedom. This paper presents a PLA phase for each output of a multiple-output function so that the product terms for each output are maximally shared with the other outputs. and then minimizes the multiple-output function with the assigned output phase assignment. The algorithm has been implemented on Sun4/330 in C language and compared with the previous approaches for 56 example PLA`s. The proposed algorithm has obtained better results for 18-32 PLA's, worse results for 1-5 PLA`s, and the same results for 23-33 PLA's. Moreover, the computation time is much less than for the previous approaches.

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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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