• Title/Summary/Keyword: Shifting Algorithm

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An Adaptive Decision-Directed Equalizer using Iterative Hyperplane Projection for SIMO systems (IHP 알고리즘을 이용한 SIMO 시스템용 적응 직접 결정 등화기 연구)

  • Lee Won-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.1C
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    • pp.82-91
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    • 2005
  • This paper introduces an efficient affine projection algorithm(APA) using iterative hyperplane projection. Among various fast converging adaptation algorithms, APA has been preferred to be employed for various applications due to its inherent effectiveness against the rank deficient problem. However, the amount of complexity of the conventional APA could not be negligible because of the accomplishment of sample matrix inversion(SMI). Moreover, the 'shifting invariance property' usually exploited in single channel case does not hold for the application of space-time decision-directed equalizer(STDE) deployed in single-input-multi-output(SIMO) systems. Thus, it is impossible to utilize the fast adaptation schemes such as fast transversal filter(FlF) having low-complexity. To accomplish such tasks, this paper introduces the low-complexity APA by employing hyperplane projection algorithm, which shows the excellent tracking capability as well as the fast convergence. In order to confirm th validity of the proposed method, its performance is evaluated under wireless SIMO channel in respect to bit error rate(BER) behavior and computational complexity.

On-line Signature Recognition Using Statistical Feature Based Artificial Neural Network (통계적 특징 기반 인공신경망을 이용한 온라인 서명인식)

  • Park, Seung-Je;Hwang, Seung-Jun;Na, Jong-Pil;Baek, Joong-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.1
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    • pp.106-112
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    • 2015
  • In this paper, we propose an on-line signature recognition algorithm using fingertip point in the air from the depth image acquired by Kinect. We use ten statistical features for each X, Y, Z axis to react to changes in Shifting and Scaling of the signature trajectories in three-dimensional space. Artificial Neural Network is a machine learning algorithm used as a tool to solve the complex classification problem in pattern recognition. We implement the proposed algorithm to actual on-line signature recognition system. In experiment, we verify the proposed method is successful to classify 4 different on-line signatures.

Simulated squirrel search algorithm: A hybrid metaheuristic method and its application to steel space truss optimization

  • Pauletto, Mateus P.;Kripka, Moacir
    • Steel and Composite Structures
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    • v.45 no.4
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    • pp.579-590
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    • 2022
  • One of the biggest problems in structural steel calculation is the design of structures using the lowest possible material weight, making this a slow and costly process. To achieve this objective, several optimization methods have been developed and tested. Nevertheless, a method that performs very efficiently when applied to different problems is not yet available. Based on this assumption, this work proposes a hybrid metaheuristic algorithm for geometric and dimensional optimization of space trusses, called Simulated Squirrel Search Algorithm, which consists of an association of the well-established neighborhood shifting algorithm (Simulated Annealing) with a recently developed promising population algorithm (Squirrel Search Algorithm, or SSA). In this study, two models are tried, being respectively, a classical model from the literature (25-bar space truss) and a roof system composed of space trusses. The structures are subjected to resistance and displacement constraints. A penalty function using Fuzzy Logic (FL) is investigated. Comparative analyses are performed between the Squirrel Search Algorithm (SSSA) and other optimization methods present in the literature. The results obtained indicate that the proposed method can be competitive with other heuristics.

Solving Facility Rearrangement Problem Using a Genetic Algorithm and a Heuristic Local Search

  • Suzuki, Atsushi;Yamamoto, Hisashi
    • Industrial Engineering and Management Systems
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    • v.11 no.2
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    • pp.170-175
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    • 2012
  • In this paper, a procedure using a genetic algorithm (GA) and a heuristic local search (HLS) is proposed for solving facility rearrangement problem (FRP). FRP is a decision problem for stopping/running of facilities and integration of stopped facilities to running facilities to maximize the production capacity of running facilities under the cost constraint. FRP is formulated as an integer programming model for maximizing the total production capacity under the constraint of the total facility operating cost. In the cases of 90 percent of cost constraint and more than 20 facilities, the previous solving method was not effective. To find effective alternatives, this solving procedure using a GA and a HLS is developed. Stopping/running of facilities are searched by GA. The shifting the production operation of stopped facilities into running facilities is searched by HLS, and this local search is executed for one individual in this GA procedure. The effectiveness of the proposed procedure using a GA and HLS is demonstrated by numerical experiment.

Extension of Range Migration Algorithm for Airborne Single Track Bistatic Spotlight SAR Imaging (하나의 경로를 가진 항공기 탑재형 Bistatic Spotlight SAR 영상형성을 위한 Range Migration Algorithm의 확장)

  • Shin, Hee-Sub;Jeon, Jae-Han;Lim, Jong-Tae
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.165-166
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    • 2008
  • Bistatic spotlight synthetic aperture radar(BSSAR) with single track configuration uses the transmitter and the receiver which travel along the single track such as the leader-follower. For the BSSAR imaging, we modify the range migration algorithm. In time domain, we make the monostatic SAR using shifting of path, Then, in frequency domain, we compensate the separated distance between the scene center and the flight path using the principle of the stationary phase (PSP).

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Two-wheelers Detection using Local Cell Histogram Shift and Correlation (국부적 Cell 히스토그램 시프트와 상관관계를 이용한 이륜차 인식)

  • Lee, Sanghun;Lee, Yeunghak;Kim, Taesun;Shim, Jaechang
    • Journal of Korea Multimedia Society
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    • v.17 no.12
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    • pp.1418-1429
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    • 2014
  • In this paper we suggest a new two-wheelers detection algorithm using local cell features. The first, we propose new feature vector matrix extraction algorithm using the correlation two cells based on local cell histogram and shifting from the result of histogram of oriented gradients(HOG). The second, we applied new weighting values which are calculated by the modified histogram intersection showing the similarity of two cells. This paper applied the Adaboost algorithm to make a strong classification from weak classification. In this experiment, we can get the result that the detection rate of the proposed method is higher than that of the traditional method.

Development of an Automatic Transmission Simulator for a Wheel Loader (휠로더 자동변속기 시뮬레이터 개발)

  • Jung, G.H.;Shin, S.H.;Lee, S.I.
    • Transactions of The Korea Fluid Power Systems Society
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    • v.4 no.2
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    • pp.7-20
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    • 2007
  • TCU is a shift controller far automatic transmission of which major functions are to determine the shift point and manage the shifting process based on the various input signals. As the recent digital control technologies advance, it plays a key-role to improve a transmission performance and its algorithm becomes more complicated. This paper describes the development of transmission simulator fur wheel loader that enables a TCU for normal stand-alone operation by the real-time emulation of TCU interface signals. It can be utilized for the analysis of shift control algorithm implemented in a commercial TCU as well as for the development of brand new TCU.

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The Decision Algorithm for Driving Intension Using Moduled Neural Network

  • Kang, Joon-Young;Kim, Seong-Joo;Seo, Jae-Yong;Jeon, Hong-Tae
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1768-1771
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    • 2002
  • Automatic Transmission System(ATS) was designed to replace the human's manual operation of the gear box. So far, this system operates with the fixed shift pattern information. In this paper, new algorithm considering driver's operation tendency is proposed. Also, to get rid of the uselessly frequent shift of the ATS, the conditions and the status of the vehicle would be included for the evaluation in making a decision of shifting. A field test is done in a car equipped with the computer set connected to Transmission Control Units(TCU) to check the status of the test car, and it shows the excellency of the proposed algorithm.

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Video Scene Change Detection Using a 3-D DCT (3-D DCT를 이용한 비디오 장면 전환 검출)

  • 우석훈;원치선
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.157-160
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    • 2003
  • In this paper. we propose a simple and effective video scene change detection algorithm using a 3-D DCT. The 3-D DCT that we employ is a 2$\times$2$\times$2 DCT has simple computations composed only of adding and shifting operations. The simple average values of multiresolution represented video using the 2$\times$2$\times$2 DCT are used as a detection feature vector.

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Depth-resolved Stokes parameters of light backscattered from turbid media with polarization-sensitive optical coherence tomography system and successive phase-shifting algorithm (위상천이원리 와 PS-OCT시스템을 적용한 역산란광의 매질 깊이별 스톡스변수 추출)

  • Oh, Jung-Taek;Kim, Seung-Woo
    • Proceedings of the Optical Society of Korea Conference
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    • 2003.02a
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    • pp.286-287
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    • 2003
  • Polarization-sensitive optical coherence tomography (PS-OCT) was developed to image highly scattering tissues with accounting for polarization effects in the sample. These polarization-sensitive images can provide additional information on the structure of the tissue because of a polarization state of the light is changed at its interaction with biological tissues. The scattering and birefringence are two phenomena, which change the polarization state of light passing through medium. (omitted)

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