• Title/Summary/Keyword: standard algorithm

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Color Reproduction Simulator Using Standard Display (표준 디스플레이를 이용한 발색 시뮬레이터)

  • Park, Gyun-Deuk
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.419-422
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    • 2005
  • In this paper, a display color characteristic simulation algorithm is proposed for nonstandard display units under development. In this algorithm, signal transformation matrix is calculated from the transfer characteristic of a nonstandard display unit to reproduce the same color of the one on a standard CRT display. Proposed algorithm can be used for the simulation of various color reproduction characteristics and the performance improvement of the nonstandard display.

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LQI Standard Deviation Routing Algorithm for Energy Loss Reduction in Wireless Sensor Networks (무선 센서 네트워크에서 에너지 손실 감소를 위한 LQI 표준편차 라우팅 알고리즘)

  • Shin, Hyun-Jun;Oh, Chang-Heon
    • Journal of Advanced Navigation Technology
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    • v.16 no.6
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    • pp.960-967
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    • 2012
  • Wireless sensor network is used at the environment to obtain nearby information and since such information is transferred through wireless link, it causes unnecessary re-sending and disadvantage of big energy consumption at node. Because of this to select reliable, energy effective link, method of estimating quality on wireless link using RSSI(received signal strength indication), LQI(link quality indication), etc is needed on wireless link. To set up path extending survival time by reducing energy consumption of nodes at the wireless sensor network, the thesis selects with small standard deviation of LQI after obtaining LQI within each path. Additionally, LQI standard deviation routing algorithm is compared based on LQI algorithm such as minimum-LQI, hop-LQI weight and RF output -7dBm. According to the outcome, the algorithm suggested has superior characters such as the number of node, retransmission rate and network life span respectively compared to existing algorithm. Therefore, energy consumption can be efficiently reduced in case that LQI standard deviation routing scheme suggested by this paper is adapted to wireless sensor network.

A Study on Algorithm for Gear Profile Measurement Using a Standard Gear (표준기어를 이용한 기어 프로파일 정밀측정 알고리즘에 관한 연구)

  • Lee, Min-Ki;Lee, Eung-Suk;Kim, Kuang-Jung;Park, Hyun-Yoong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.5
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    • pp.555-561
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    • 2012
  • In this paper, a method to control the noise and vibration of a standard gear transmitting mechanical power in the transmission insides, to things regarding a way to inspect the gear which was processed minutely. In an algorithm used to accurately measure a work gear, the measurements of the master gear are considered as the basis. The existing method considers one rotation of the standard gear and monitor gear, and that carried out mastering work in frequency ways. In this study, an algorithm to measure standard gear and monitor gear is proposed along with methods to calculate an error of the monitor gear and to significantly increase the precision of gear measurement. Further, the algorithm is fast and is expected to be capable of accurately measuring for mastering processing.

Modified Feistel Network Block Cipher Algorithm (변형 피스탈 네트워크 블록 암호 알고리즘)

  • Cho, Gyeong-Yeon;Song, Hong-Bok
    • Journal of the Korea Computer Industry Society
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    • v.10 no.3
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    • pp.105-114
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    • 2009
  • In this paper a modified Feistel network 128 bit block cipher algorithm is proposed. The proposed algorithm has a 128, 196 or 256 bit key and it updates a selected 32 bit word from input value whole by deformed Feistel Network structure. Existing of such structural special quality is getting into block cipher algorithms and big distinction. The proposed block cipher algorithm shows much improved software speed compared with international standard block cipher algorithm AES and domestic standard block cipher algorithm SEED and ARIA. It may be utilized much in same field coming smart card that must perform in limited environment if use these special quality.

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A study on the Production and distribution planning using a genetic algorithm (유전 알고리즘을 이용한 생산 및 분배 계획)

  • 정성원;장양자;박진우
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.253-256
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    • 2001
  • Today's rapid development in the computer and network technology makes the environment which enables the companies to consider their decisions on the wide point of view and enables the software vendors to make the software packages to help these decisions. To make these software packages, many algorithms should be developed. The production and distribution planning problem belongs to those problems that industry manufacturers daily face in organizing their overall production plan. However, this combinatorial optimization problem can not be solved optimally in a reasonable time when large instances are considered. This legitimates the search for heuristic techniques. As one of these heuristic techniques, genetic algorithm has been considered in many researches. A standard genetic algorithm is a problem solving method that apply the rules of reproduction, gene crossover, and mutation to these pseudo-organisms so those organisms can Pass beneficial and survival-enhancing traits to new generation. This standard genetic algorithm should not be applied to this problem directly because when we represent the chromosome of this problem, there may exist high epitasis between genes. So in this paper, we proposed the hybrid genetic algorithm which turns out to better result than standard genetic algorithms

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Direction Information Concerned Algorithm for Removing Gaussian Noise in Images

  • Gao, Yinyu;Kim, Nam-Ho
    • Journal of information and communication convergence engineering
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    • v.9 no.6
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    • pp.758-762
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    • 2011
  • In this paper an efficient algorithm is proposed to remove additive white Gaussian noise(AWGN) with edge preservation. A function is used to separate the filtering mask to two sets according to the direction information. Then, we calculate the mean and standard deviation of the pixels in each set. In order to preserve the details, we also compare standard deviations between the two sets to find out smaller one. Corrupted pixel is replaced by the mean of the filtering window's median value and the smaller set's mean value that the rate of change is faster than the other one. Experiment results show that the proposed algorithm outperforms with significant improvement in image quality than the conventional algorithms. The proposed method removes the Gaussian noise very effectively.

An Efficient Apeliodic Static Walking Algorithm for Quadrupecl Walking Machine (4족 보행 로봇의 효율적인 비주기 정적 보행 알고리즘)

  • 정경민;박윤창
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.42-42
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    • 2000
  • This paper concerns an efficient aperiodic static crab walking algorithm for quadruped walking machine in rough terrain. In this algorithm, the requirements for forward stability margin and backward stability margin could be given differently in order to consider the slope of terrain and disturbances resulting from moving velocity. To restrict the searing regions for motion variables, such as moving distances until a leg is lifted or is placed, the standard leg transferring sequence is decided to be that of wave gaits. standard support pattern is also proposed that enables the quadruped to continue forward motion using the standard leg transferring sequence without falling into deadlock.

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A Defect Inspection Algorithm Using Multi-Resolution Analysis based on Wavelet Transform (웨이블릿 다해상도 분석에 의한 디지털 이미지 결점 검출 알고리즘)

  • Kim, Kyung-Joon;Lee, Chang-Hwan;Kim, Joo-Yong
    • Textile Coloration and Finishing
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    • v.21 no.1
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    • pp.53-58
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    • 2009
  • A real-time inspection system has been developed by combining CCD based image processing algorithm and a standard lighting equipment. The system was tested for defective fabrics showing nozzle contact scratch marks, which were one of the frequently occurring defects. Multi-resolution analysis(MRA) algorithm were used and evaluated according to both their processing time and detection rate. Standard value for defective inspection was the mean of the non-defect image feature. Similarity was decided via comparing standard value with sample image feature value. Totally, we achieved defective inspection accuracy above 95%.

Rail Profile Matching Method using ICP Algorithm (ICP 알고리즘을 이용한 레일 프로파일 매칭 기법)

  • Yu, Young-Ki;Koo, Ja-Myung;Oh, Min-Soo;Yang, Il-Dong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.5
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    • pp.888-894
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    • 2016
  • In this paper, we describe a method for precisely measuring the abrasion of the railway using an image processing technique. To calculate the wear of the rails, we provided a method for accurately matching the standard rail profile data and the profile data acquired by the rail inspection vehicle. After the lens distortion correction and the perspective transformation of the measured profile data, we used ICP Algorithm for accurate profile data matching with the reference profile extracted from the standard rail drawing. We constructed the prototype of the Rail Profile Measurement System for High-speed Railway and the experimental result on the three type of the standard rail used in Korea showed the excellent profile matching accuracy within 0.1mm.

Improved Error Backpropagation Algorithm using Modified Activation Function Derivative (수정된 Activation Function Derivative를 이용한 오류 역전파 알고리즘의 개선)

  • 권희용;황희영
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.3
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    • pp.274-280
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    • 1992
  • In this paper, an Improved Error Back Propagation Algorithm is introduced, which avoids Network Paralysis, one of the problems of the Error Backpropagation learning rule. For this purpose, we analyzed the reason for Network Paralysis and modified the Activation Function Derivative of the standard Error Backpropagation Algorithm which is regarded as the cause of the phenomenon. The characteristics of the modified Activation Function Derivative is analyzed. The performance of the modified Error Backpropagation Algorithm is shown to be better than that of the standard Error Back Propagation algorithm by various experiments.

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