• Title/Summary/Keyword: implementation algorithm

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Algorithm Implementation Issues and use of Conduits in Design of Optic Fiber Based Survivable Network (생존도를 고려한 광통신망 설계 알고리즘의 구현 기법과 관로 이용)

  • Cho, Sung-Zoon;Han, Chi-Geun
    • IE interfaces
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    • v.9 no.3
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    • pp.92-100
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    • 1996
  • The current copper-based communication network is going to be replaced with an optic fiber network. The new technology allows a larger amount of information to be transmitted than before. Due to its bandwidth and relatively high installation cost, however, the optic fiber network does not exhibit the inherent structural redundancy provided by the conventional copper-based network. We propose to supply it by adding multiple paths between important nodes. This so-called network survivability problem is computationally expensive to solve exactly. We report the application of a heuristic algorithm to this problem. Also discussed is the issue of how to make use of existing conduits.

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Implementation of Implicit Model Reference Adaptive Control System (내재성 기본모델을 사용한 적용제어 시스템의 구성)

  • 허욱열;고명삼
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.32 no.4
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    • pp.136-144
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    • 1983
  • In this paper, a new scheme of implicit MRAC is presented for single input single output discrete system. The MRAC can be applied to the nonminimum phase system, too. They have simple structure because the parameters of the controller are estimated directly by changing the plant output equation properly. In this scheme, the observation process is well seperated from the adaptation process, so the adaptation algorithm is derived from the exponentially weighted least square method which has fast convergence characteristics and can deal with the time varying plant. The consistency of the estimated parameter is proved. And it is also proved the whole system has the stabilizing property. The effectiveness of the algorithm and the structure is illustrated by the computer simulation of the model reference adaptive control for a third order plant. It is proposed how to select the selectable parameters in the adaptive control system from the simulation results.

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New Multi-Stage Blind Clustering Equalizers for QAM Demodulation (QAM 복조용 새로운 다단계 자력복구 군집형 채널등화기)

  • Hwang, Yu-Mo;Lee, Jung-Hyeon;Song, Jin-Ho
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.49 no.5
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    • pp.269-277
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    • 2000
  • We propose two new types multi-stage blind clustering equalizers for QAM demoulation, which are called a complex classification algorithm(CCA) and a radial basis function algorithm(RBFA). The CCA uses a clustering technique based on the joint gaussian probability function and computes separately the real part and imaginary part for simple implementation as well as less computation. In order to improve the performance of CCA, the Dual-Mode CCA(DMCCA) incorporates the CCA tap-updating mode with the decision-directed(DD) mode. The RBFA reduces the number of cluster centers through three steps using the classification technique of RBF and then updates the equalizer taps for QAM demodulation. Test results on 16-QAM confirm that the proposed algorithms perform better the conventional multi-state equalizers in the senses of SER and MSE under multi-path fading channel.

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Configuration System Implementation Algorithm to Manage the I/O Device of the Parallel Processing Programmable Logic Controller (병렬 처리 기법을 이용한 프로그래머블 로직 컨트롤러의 입출력 접점 관리를 위한 컨피규레이션 시스템 구현 알고리즘)

  • Kim, Kwang-Jin;Kwon, Wook-Hyun
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2327-2329
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    • 1998
  • In this paper, an algorithm to make a configuration system for managing the I/O device of programmable logic controller(PLC) is proposed. Parallel processing architecture is used to deal with a number of I/O devices. From that architecture, a contention problem between processors can arise. To resolve this problem, the configuration system that contains informations about I/O devices is introduced. This configuration system is used to check the contention between processors in the I/O device and also used in program execution.

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Implementation of Reed-Solomon Decoder Using the efficient Modified Euclid Module (효율적 구조의 수정 유클리드 구조를 이용한 Reed-Solomon 복호기의 설계)

  • Kim, Dong-Sun;Chung, Duck-Jin
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.575-578
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    • 1998
  • In this paper, we propose a VLSI architecture of Reed-Solomon decoder. Our goal is the development of an architecture featuring parallel and pipelined processing to improve the speed and low power design. To achieve the this goal, we analyze the RS decoding algorithm to be used parallel and pipelined processing efficiently, and modified the Euclid's algorithm arithmetic part to apply the parallel structure in RS decoder. The overall RS decoder are compared to Shao's, and we show the 10% area efficiency than Shao's time domain decoder and three times faster, in addition, we approve the proposed RS decoders with Altera FPGA Flex 10K-50, and Implemeted with LG 0.6{\mu}$ processing.

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Design optimization of reinforced concrete structures

  • Guerra, Andres;Kiousis, Panos D.
    • Computers and Concrete
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    • v.3 no.5
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    • pp.313-334
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    • 2006
  • A novel formulation aiming to achieve optimal design of reinforced concrete (RC) structures is presented here. Optimal sizing and reinforcing for beam and column members in multi-bay and multistory RC structures incorporates optimal stiffness correlation among all structural members and results in cost savings over typical-practice design solutions. A Nonlinear Programming algorithm searches for a minimum cost solution that satisfies ACI 2005 code requirements for axial and flexural loads. Material and labor costs for forming and placing concrete and steel are incorporated as a function of member size using RS Means 2005 cost data. Successful implementation demonstrates the abilities and performance of MATLAB's (The Mathworks, Inc.) Sequential Quadratic Programming algorithm for the design optimization of RC structures. A number of examples are presented that demonstrate the ability of this formulation to achieve optimal designs.

An Implementation for Near-Optimal Set Point Control for Central Cooling Systems (중앙냉방시스템의 준최적 설정점제어기법 구현에 관한 연구)

  • Baek, Seung-Jae;Song, Jae-Yeob;Ahn, Byung-Cheon;Joo, Yong-Duk;Kim, Jin
    • Proceedings of the SAREK Conference
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    • 2007.11a
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    • pp.46-51
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    • 2007
  • The near-optimal control algorithm for central cooling system has been developed for minimizing energy consumption while maintaining the comfort of indoor thermal environment in terms of the environmental variables such as time varying indoor cooling load and outdoor temperatures. The optimal set-points of control parameters with near-optimal control are supply air temperature and chilled water temperature. This study has been done by using LapVIEW program with PID control in order to analyze the central cooling system energy saving.

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Implementation of Face-recognition System Using Auto-associate Learning of Hippocampus and RFID (해마의 연상학습과 RFID를 이용한 얼굴인식 시스템의 구현)

  • Kwon Byoung Soo;King Dae-Seong
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.1
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    • pp.28-32
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    • 2006
  • Because of the recent development of radio frequency identification (RFID) technologies, various systems for RFID have been proposed. and it expected to become pervasive and ubiquitous. offers tantalizing benefits for supply chain management, inventory control, and many other applications. recently, however, has the convergence of lower cost and increased capabilities made businesses take a hard look at what RFID can do fer them. In this paper, We propose the real-time RFID face recognition system using Hippocampus neuron modeling algorithm(HNMA) and PCA-LDA mixture algorithm. this system store an extracted face-feature in tag and uses for individual authentication.

Implementation of Vehicle recognition system usging image based on Integrated Network Environment (통합 네트워크 환경의 영상기반 차종인식 시스템 구현)

  • 신규식;김용득
    • Proceedings of the IEEK Conference
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    • 2001.06e
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    • pp.51-54
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    • 2001
  • For performing Intelligent Transport System, I will implement the vehicle recognition system used image as well as Real time transmission module with TCP/IP. Generally, there are two kinds for vehicle recognition technology. Between two methods, the image-based method has a high dependency on environmental condition. Therefore, in this thesis I will propose vehicle recognition algorithm based on image using improved Gradient Method. Also I propose server-client modeling with TCP/IP, for the purpose of real time transmission of processed data and images. So I made the vehicle recognition and real time transmission system with TCP/IP for verification of proposed algorithm.

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Implementation of Object Tracking for IR Images Using PowerPC based System (PowerPC 기반의 IR 영상 객체 추적기 구현)

  • Lee, Jae-Ik;Lee, Jun-Haeng;Park, Chang-Han
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.213-214
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    • 2007
  • In this paper, we implement one tracking scheme based on the block matching using PowerPC system. We implement tracking algorithm uses the information from Infrared (IR) sensor for tracking object. When a occlusion occurs, the proposed algorithm predicts movements of an object using the historical tracking information and it can keep the object tracking.

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