• Title, Summary, Keyword: Vector Generation

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Bidding Strategy Determination by Defining Strategy Vector (전략벡터정의를 통한 입찰전략수립)

  • Kang, Dong-Joo;Moon, Young-Hwan;Oh, Tae-Kyoo;Kim, Bal-Ho
    • Proceedings of the KIEE Conference
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    • pp.60-62
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    • 2001
  • This paper shows the optimal bidding strategy determination method using Nash equilibrium concept by defining bidding strategy vector. This vector is 2-dimension vector whose components are generation amount and generation cost. Thereby we are able to make all possible strategies and their's payoff table. And then we erase dominated strategies one by one so that we obtain Nash equilibrium, the optimal bidding strategy of generation bidding game.

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Photonic Generation of Frequency-tripling Vector Signal Based on Balanced Detection without Precoding or Optical Filter

  • Qu, Kun;Zhao, Shanghong;Li, Xuan;Zhu, Zihang;Tan, Qinggui
    • Current Optics and Photonics
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    • v.2 no.2
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    • pp.134-139
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    • 2018
  • A novel approach for frequency-tripling vector signal generation via balanced detection without precoding and optical filter is proposed. The scheme is mainly utilizing an integrated dual-polarization quadrature phase shift keying (DPQPSK) modulator. In the DPQPSK modulator, one QPSK modulator is driven by an RF signal to generate high-order optical sidebands, while the other QPSK modulator is modulated by I/Q data streams to produce baseband vector signal as an optical carrier. After that, a frequency-tripling 16-quadrature-amplitude-modulation (16QAM) vector millimeter-wave (mm-wave) signal can be obtained by balanced detection. The proposed scheme can reduce the complexity of transmitter digital signal processing. The results show that, a 4 Gbaud baseband 16QAM vector signal can be generated at 30 GHz by frequency-tripling. After 10 km single-mode fiber (SMF) transmission, the constellation and eye diagrams of the generated vector signal perform well and a bit-error-rate (BER) below than 1e-3 can be achieved.

A Technique of Feature Vector Generation for Eye Region Using Embedded Information of Various Color Spaces (다양한 색공간 정보를 이용한 눈 영역의 특징벡터 생성 기법)

  • Park, Jung-Hwan;Shin, Pan-Seop;Kim, Guk-Boh;Jung, Jong-Jin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.1
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    • pp.82-89
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    • 2015
  • The researches of image recognition have been processed traditionally. Especially, face recognition technology has been received attractions with advance and applied to various areas according as camera sensor embedded into many devices such as smart phone. In this study, we design and develop a feature vector generation technique of face for making animation caricatures using methods for face detection which are previous stage of face recognition. At first, we detect both face region and detailed eye region of component element by Viola&Johns's realtime detection method which are called as ROI(Region Of Interest). And then, we generate feature vectors of eye region by utilizing factors as opposed to the periphery and by using appearance information of eye. At this point, we focus on the embedded information in many color spaces to overcome the problems which can be occurred by using one color space. We propose a feature vector generation method using information from many color spaces. Finally, we experiment the test of feature vector generation by the proposed method with enough quantity of sample picture data and evaluate the proposed method for factors of estimating performance such as error rate, accuracy and generation time.

A Feature Vector Generation Technique through Gradient Correction of an Outline in the Mouth Region (입 영역에서 외곽선의 기울기 보정을 통한 특징벡터 생성 기법)

  • Park, Jung Hwan;Jung, Jong Jin;Kim, Guk Boh
    • Journal of Korea Multimedia Society
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    • v.17 no.10
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    • pp.1141-1149
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    • 2014
  • Recently, various methods to effectively eliminate the noise are researched in image processing techniques. However, the conventional noise filtering techniques, which remove most of the noise, are less efficient for remained noise detection after filtering due to exploiting no face feature information. In this paper, we proposed a feature vector generation technique in the mouth region by distinguishing and revising the remained noise through gradient correction, when the outline is extracted after performing noise filtering.

Design of SVM-Based Polynomial Neural Networks Classifier Using Particle Swarm Optimization (입자군집 최적화를 이용한 SVM 기반 다항식 뉴럴 네트워크 분류기 설계)

  • Roh, Seok-Beom;Oh, Sung-Kwun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.8
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    • pp.1071-1079
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    • 2018
  • In this study, the design methodology as well as network architecture of Support Vector Machine based Polynomial Neural Network, which is a kind of the dynamically generated neural networks, is introduced. The Support Vector Machine based polynomial neural networks is given as a novel network architecture redesigned with the aid of polynomial neural networks and Support Vector Machine. The generic polynomial neural networks, whose nodes are made of polynomials, are dynamically generated in each layer-wise. The individual nodes of the support vector machine based polynomial neural networks is constructed as a support vector machine, and the nodes as well as layers of the support vector machine based polynomial neural networks are dynamically generated as like the generation process of the generic polynomial neural networks. Support vector machine is well known as a sort of robust pattern classifiers. In addition, in order to enhance the structural flexibility as well as the classification performance of the proposed classifier, multi-objective particle swarm optimization is used. In other words, the optimization algorithm leads to sequentially successive generation of each layer of support vector based polynomial neural networks. The bench mark data sets are used to demonstrate the pattern classification performance of the proposed classifiers through the comparison of the generalization ability of the proposed classifier with some already studied classifiers.

Feasible Power Loss Analysis and Estimation of Auxiliary Resonant DC Link Assisted Soft-Switching Inverter with New Zero Vector Generation Method

  • Manabu Kurokawa;Claudio Y. Inaba;M. Rukonuzzaman;Eiji Hiraki;Yoshihiro Konishi;Mutsuo Nakaoka
    • Journal of Power Electronics
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    • v.2 no.2
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    • pp.77-87
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    • 2002
  • The purpose of this paper is to improve power conversion efficiency of three-phase soft-switching voltage-source inverter with an auxiliary resonant dc link (ARDCL) snubber circuit. Firstly, the operation principle of ARDCL snubber circuit is described. Secondly, this paper proposes an effictive generation method of zero voltage vector for three-phase voltage-source soft-switching inverter in power losses in which power losses in the ARDCL snubber circuit can be reduced. In particular, zero voltage holding interval in the inverter DC busline can be controlled due to the new generation scheme of zero voltage vector. Thirdly, a simulator for power loss analysis for power loss characteristics based on actual system, is developed. the validity of developed. The validity of developed simulator of proved with experimental results. Finally, power efficency of three-phase inverter is estimated according to high carrier frequency by using the simulatior.

An Efficient Vector Quantization Codebook generation using a Triangle Inequality (삼각 부등식을 이용한 빠른 벡터 양자화 코드북 생성)

  • Lee, Hyun-Jin
    • Journal of Digital Contents Society
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    • v.13 no.3
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    • pp.309-315
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    • 2012
  • Active data are the input data which are changed its membership as Vector Quantization codebook generation algorithm is processed. In the process of VQ codebook generation algorithm performed, the actual active data out of the entire input data will be less presented as the process is performed. Therefore, if we can accurately find the active data and only if we are going to do VQ codebook generation on the active data, then we can significantly reduce the overall generation time. In this paper, we presented the triangle inequality based algorithm to select the active data. Experimental results show that our algorithm is superior to other methods in terms of the VQ codebook generation time.

High Level Test Generation (상위 수준 설계에서의 테스트패턴 생성)

  • 김종현;박승규김동욱
    • Proceedings of the IEEK Conference
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    • pp.1005-1008
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    • 1998
  • IC testing plays a very important role in IC manufacturing process. Modern complex ASIC chips making it difficult for gate level and RLT level test generation techniques to generate good test vector in resonable time. In this paper we proposed new test pattern generation method in VHDL description to detect manufacturing faults. This method based on software testing can easily generate test vector and independent to synthesis result.

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Islanding Detection for Distributed Generation

  • Ding, X.;Crossley, P.A.;Morrow, D.J.
    • Journal of Electrical Engineering and Technology
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    • v.2 no.1
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    • pp.19-28
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    • 2007
  • The paper discussed various techniques for islanding detection and described in detail the working principles of ROCOF and vector shift relays. A simulator was used to investigate why the stability of both types of relays maybe affected by network and load switching, short-circuit faults and in the case of a ROCOF relay the loss of bulk generation or the tripping of a transmission feeder. Finally, to enhance the reliability of Loss of Mains protection, a new islanding detection technique based on a GPS synchronized phasor measurement system was proposed.

Low Sit Rate Image Coding using Neural Network (신경망을 이용한 저비트율 영상코딩)

  • 정연길;최승규;배철수
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.579-582
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    • 2001
  • Vector Transformation is a new method unified vector quantization and coding. So far, codebook generation applied to coding was LBG algorithm. But using the advantage of SOFM(Self-Organizing Feature Map) based on neural network can improve a system's performance. In this paper, we generated VTC(Vector Transformation Coding) codebook applied with SOFM algorithm and compare the result for several coding rates with LBG algorithm. The problem of Vector quantization is complicated calculation and codebook generation. So, to solve this problem, we used neural network approach method.

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