• 제목/요약/키워드: Input information

검색결과 10,145건 처리시간 0.039초

문서 입출력 시스템의 구성에 관한 연구 (A Study on the Construction of a Document Input/Output system)

  • 함영국;도상윤;정홍규;김우성;박래홍;이창범;김상중
    • 전자공학회논문지B
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    • 제29B권10호
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    • pp.100-112
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    • 1992
  • In this paper, an integrated document input/output system is developed which constructs the graphic document from a text file, converts the document into encoded facsimile data, and also recognizes printed/handwritten alphanumerics and Korean characters in a facsimile or graphic document. For an output system, we develop the method which generates bit-map patterns from the document consisting of the KSC5601 and ASCII codes. The binary graphic image, if necessary, is encoded by the G3 coding scheme for facsimile transmission. For a user friendly input system for documents consisting of alphanumerics and Korean characters obtained from a facsimile or scanner, we propose a document recognition algirithm utilizing several special features(partial projection, cross point, and distance features) and the membership function of the fuzzy set theory. In summary, we develop an integrated document input/output system and its performance is demonstrated via computer simulation.

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Inverter Air-conditioner Power System with Low Power Dissipation Type using Micro-controller

  • Mun, Sang-Pil;Shu, Ki-Young;Kim, Ju-Yong;Kim, Kwang-Tae
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2004년도 춘계학술대회 논문집
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    • pp.492-496
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    • 2004
  • When using a conventional power factor correction circuit, a comparatively huge capacitor is used to boost-up output voltage. It has a large amount of harmonic distortion in the input current waveform. To improve the input current waveform of diode rectifiers, we propose a new operating principle for the power factor correction circuit. Due to the fact that the proposed circuit uses smaller ones and a smaller reactor, the output voltage increases and obtains higher input current waveforms. These are suitable for the harmonics guidelines. The proposed circuit is able to obtain higher power factor and efficiency. Also, it has reduced switching loss and held over-shooting by using an inverter of eliminated dead-time HPWM that has non-linear impedance circuits to make up diodes, capacitance and a reactor. We compared the conventional PWM inverter and proposed HPWM inverters and found that a high input power factor of 97[%] and an efficiency of 98[%] were also obtained.

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A Fuzzy Neural Network Combining Wavelet Denoising and PCA for Sensor Signal Estimation

  • Na, Man-Gyun
    • Nuclear Engineering and Technology
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    • 제32권5호
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    • pp.485-494
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    • 2000
  • In this work, a fuzzy neural network is used to estimate the relevant sensor signal using other sensor signals. Noise components in input signals into the fuzzy neural network are removed through the wavelet denoising technique . Principal component analysis (PCA) is used to reduce the dimension of an input space without losing a significant amount of information. A lower dimensional input space will also usually reduce the time necessary to train a fuzzy-neural network. Also, the principal component analysis makes easy the selection of the input signals into the fuzzy neural network. The fuzzy neural network parameters are optimized by two learning methods. A genetic algorithm is used to optimize the antecedent parameters of the fuzzy neural network and a least-squares algorithm is used to solve the consequent parameters. The proposed algorithm was verified through the application to the pressurizer water level and the hot-leg flowrate measurements in pressurized water reactors.

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Time Discretization of Nonlinear Systems with Variable Time-Delayed Inputs using a Taylor Series Expansion

  • Choi Hyung-Jo;Chong Kil-To
    • Journal of Mechanical Science and Technology
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    • 제20권6호
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    • pp.759-769
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    • 2006
  • This paper proposes a new method of discretization for nonlinear systems using a Taylor series expansion and the zero-order hold assumption. The method is applied to sampled-data representations of nonlinear systems with input time delays. The delayed input varies in time and its amplitude is bounded. The maximum time-delayed input is assumed to be two sampling periods. The mathematical expressions of the discretization method are presented and the ability of the algorithm is tested using several examples. A computer simulation is used to demonstrate that the proposed algorithm accurately discretizes nonlinear systems with variable time-delayed inputs.

Decentralized Input-Output Feedback Linearizing Controller for MultiMachine Power Systems : Adaptive Neural-Net Control Approach

  • Park, Jang-Hyun;Jun, Jae-Choon;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.41.3-41
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    • 2001
  • In this paper, we present a decentralized adaptive neural net(NN) controller for the transient stability and voltage regulation of a multimachine power system. First, an adaptively input-output linearizing controller using NN is designed to eliminate the nonlinearities and interactions between generators. Then, a robust control term which bounds terminal voltage to a neighborhood of the operating point within the desired value is introduced using only local information. In addition, we consider input saturation which exists in the SCR amplifier and prove that the stability of the overall closed-loop system is maintained regardless of the input saturation. The design procedure is tested on a two machine infinite bus power system.

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Folding 기법을 이용한 고밀도 PLA 설계 (A Design Method for High density PLA by Folding Techniques)

  • 이재민;임인칠
    • 대한전자공학회논문지
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    • 제23권5호
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    • pp.674-680
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    • 1986
  • In this paper, a new design method for high density PLA by a simple row folding technique is proposed. The normal input line and its complement line of different two input lines are folded on the same row. Especially the only one input line pair of the different two input lines are folded by this method. Conseqently, the results of folding are better than those of conventional methods. An efficient technique of ordering columns is described. Also, constraints about outside circuitry are consideted in this algorithm. The proposed algorithm has been implemented on a personal computer by C language.

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Design of High-Performance Intra Prediction Circuit for H.264 Video Decoder

  • Yoo, Ji-Hye;Lee, Seon-Young;Cho, Kyeong-Soon
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제9권4호
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    • pp.187-191
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    • 2009
  • This paper proposes a high-performance architecture of the H.264 intra prediction circuit. The proposed architecture uses the 4-input and 2-input common computation units and common registers for fast and efficient prediction operations. It avoids excessive power consumption by the efficient control of the external and internal memories. The implemented circuit based on the proposed architecture can process more than 60 HD ($1,920{\times}1,088$) image frames per second at the maximum operating frequency of 101 MHz by using 130 nm standard cell library.

자료 구성표를 이용한 데이터의 생성적 의미 표현 연구 (A Representation of Data Semantics using Bill of Data)

  • 이춘열
    • Asia pacific journal of information systems
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    • 제7권3호
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    • pp.167-180
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    • 1997
  • Data semantics is an well recognized issue in areas of information systems research. It provides indispensable information for management of data, It describes what data mean, how they are created, where they can be applied to, to name a few. Because of these diverse nature of data semantics, it has been described from different perspectives of formalization. This article proposes to formalize data semantics by the processes that data are created or transformed, A scheme is proposed to describe the structure that data are created and transformed, which is called Bill of Data. Bill of Data is a directed graph, whose leaves are primary input data and whose internal nodes are output data objects produced from input data objects. Using Bill of Data, algorithms are developed to compare data semantics.

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Implementation of Process System and Intelligent Monitoring Environment using Neural Network

  • Kim, Young-Tak;Kim, Gwan-Hyung;Kim, Soo-Jung;Lee, Sang-Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제4권1호
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    • pp.56-62
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    • 2004
  • This research attempts to suggest a detecting method for cutting position of an object using the neural network, which is one of intellectual methods, and the digital image processing method. The extraction method of object information using the image data obtained from the CCD camera as a replacement of traditional analog sensor thanks to the development of digital image processing. Accordingly, this research determines the threshold value in binary-coding of an input image with the help of image processing method and the neural network for the real-time gray-leveled input image in substitution for lighting; as a result, a specific position is detected from the processed binary-coded image and an actual system designed is suggested as an example.

Color Clustered Multiple-input Multiple-output Visible Light Communication

  • Han, Phyu Phyu;Sewaiwar, Atul;Tiwari, Samart V.;Chung, Yeon-Ho
    • Journal of the Optical Society of Korea
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    • 제19권1호
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    • pp.74-79
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    • 2015
  • A novel color clustered optical RGB multiple-input multiple-output (MIMO) system is presented. As visible light can be divided into three primary regions of red, green and blue, data can be modulated and transmitted separately using these three color clusters. Each color cluster comprised of 30 RGB LEDs is modulated using on-off-keying (OOK), and selection combining is performed at the receiver, producing a diversity effect within that color cluster. The simulations demonstrate that the proposed RGB MIMO VLC system provides high performance via a relatively simple design of MIMO. Moreover, the proposed system ensures sufficient illumination from LEDs and offers extended distance if more LEDs are applied.