• Title/Summary/Keyword: Reference Point Method

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A New Fingerprint Reference-Point Detection Method Using Cosine Component (코사인 성분을 이용한 새로운 지문 기준점 검출 방법)

  • Song, Young-Chul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.8
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    • pp.1511-1513
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    • 2007
  • A new reference point location method using the cosine component is proposed, where an edge map is defined and used to find the reference point. Because all processes used in the proposed method are performed at the block level, less processing time is required. Experimental results show that the proposed method can effectively detect the reference point with higher speed and accuracy for all types of fingerprints.

The Suggestion of Effective Measurement Techniques for Positioning Under Poor GPS Reference Network Condition

  • Park, Joon-Kyu;Jung, Kap-Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_2
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    • pp.539-547
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    • 2013
  • This research is suggesting the most effective positioning method for GPS based positioning when no GPS reference point is available in the neighborhood. For this purpose, we carried out positioning of the IGS realtime observatories in Australia in various conditions. According to the research, we were certainly assured the one reference point with a short baseline length is more effective for differential positioning than multiple reference points with a long baseline distance beyond 1,000km and suggested the precise point positioning based positioning method can be an excellent substitute when no reference point is available around an unknown point. The research result may be used as the basic data for accurate positioning in poor reference point environments, especially in Antarctica.

Edge Map-Based Fingerprint Reference-Point Detection (에지맵 기반 지문 기준점 검출)

  • Song, Young-Chul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1321-1323
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    • 2007
  • A new reference point location method based on an edge map is proposed, where an orientation map is defined and used to find the edge map. Experimental results show that the proposed method can effectively detect the core point in poor quality and arch-type fingerprint images and produces better results in terms of the detection rate and accuracy than the sine map-based method.

Active Control of Vibrational Intensity at a Reference Point in an Infinite, Elastic Plate (무한 탄성 평판상의 기준점에 전달되는 진동인텐시티의 능동제어)

  • 김기만
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.11 no.4
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    • pp.22-30
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    • 2001
  • In this paper, active control of vibrational intensity at a reference point in an infinite, elastic plate was discussed. The plate is excised harmonically by a vibrating source, which has a vertical point force. The optimal condition of controller was investigated to minimize the vibrational intensity being transmitted from the vibrating source to a reference point. Hence the method of feedforward control was employed for the control strategy and then the cost function was evaluated to find the optimal control force. Three types of control force (Vertical force, Moment, and Coupling force (a set of vertical force and moment) ) and controller's positions were examined to define the optimal condition of the controller. The vibrational intensity at a reference point was found to be reduced down to a zero level, compared with the uncontrolled case. Especially maximum reduction of vibrational intensity was achieved when the controller was collinearly positioned between a vibrating source and a reference point.

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Many-objective Evolutionary Algorithm with Knee point-based Reference Vector Adaptive Adjustment Strategy

  • Zhu, Zhuanghua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.9
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    • pp.2976-2990
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    • 2022
  • The adaptive adjustment of reference or weight vectors in decomposition-based methods has been a hot research topic in the evolutionary community over the past few years. Although various methods have been proposed regarding this issue, most of them aim to diversify solutions in the objective space to cover the true Pareto fronts as much as possible. Different from them, this paper proposes a knee point-based reference vector adaptive adjustment strategy to concurrently balance the convergence and diversity. To be specific, the knee point-based reference vector adaptive adjustment strategy firstly utilizes knee points to construct the adaptive reference vectors. After that, a new fitness function is defined mathematically. Then, this paper further designs a many-objective evolutionary algorithm with knee point-based reference vector adaptive adjustment strategy, where the mating operation and environmental selection are designed accordingly. The proposed method is extensively tested on the WFG test suite with 8, 10 and 12 objectives and MPDMP with state-of-the-art optimizers. Extensive experimental results demonstrate the superiority of the proposed method over state-of-the-art optimizers and the practicability of the proposed method in tackling practical many-objective optimization problems.

A Study on the Plan Photogrammetry for Clothing Design (피복구성학적 인체계측방법에 관한 연구 - 평면사진계측방법을 중심으로 -)

  • 박찬미;서미아
    • The Research Journal of the Costume Culture
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    • v.5 no.1
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    • pp.151-164
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    • 1997
  • This study pursues the problems of plan photogrammetry which is widely used in somatotyping at present, and find out a method which can improve accuracy of measurement on the basis of principles and mechanisms of photography-the basic foundation of the photographic analysis methods. As a result, this study proposes a new method which is based on the reference point method and perspective coordinate system. And the test measurement was operated to compare the measurement accuracy of the proposed method and the method based on reference grid screen method and perpendicular coordinate system which is commonly used at present. The result of this test measurement showed that the proposed method has higher accuracy. Two reasons can be pointed out for the improvement of measuring accuracy. The first reason is that the proposed perspective coordinate system reduces the perspective distortion of photography. And second reason is that measuring points can be closely placed to the scale and coordinate reference plan of measurement by the proposed reference point method which make possible to place measuring object (or person) at the center of scale and coordinate reference plan by utilizing reference points of measurement in the three dimensional space not on screen.

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Innovative Decision Reference Based Algorithm for Photovoltaic Maximum Power Point Tracking

  • Mehrnami, Siamak;Farhangi, Shahrokh
    • Journal of Power Electronics
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    • v.10 no.5
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    • pp.528-537
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    • 2010
  • A novel decision reference based method for the maximum power point tracking (MPPT) of PV arrays is presented in this paper. The proposed decision reference was derived from a simplified solar cell model. This method solves the problems of conventional MPPT algorithms, such as oscillation of the operating point at the steady state and confusion under rapidly changing insolation. It is shown by simulation and experimental results that the method properly tracks a rapidly changing insolation profile. The signal to noise ratio (SNR) of the new decision reference is also higher than those of conventional P&O and INC methods. An updating subroutine was included in the proposed MPPT algorithm to compensate for temperature and aging effects.

Image Scale Prediction Using Key-point Clusters on Multi-scale Image Space (다중 스케일 영상 공간에서 특징점 클러스터를 이용한 영상스케일 예측)

  • Ryu, kwon-Yeal
    • Journal of the Institute of Convergence Signal Processing
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    • v.19 no.1
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    • pp.1-6
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    • 2018
  • In this paper, we propose the method to eliminate repetitive processes for key-point detection on multi-scale image space. The proposed method detects key-points from the original image, and select a good key-points using the cluster filters, and create the key-point clusters. And it select reference objects by using direction angles of the key-point clusters, predict the scale of the original image by using the distributed distance ratio. It transform the scale of the reference image, and apply the detection of key-points to the transformed reference image. In the results of the experiment, the proposed method can be found to improve the key-points detection time by 75 % and 71 % compared to SIFT method and scaled ORB method using the multi-scale images.

Searching an Efficient frontier in the DEA Model based on the Reference Point Method (참조점 방법을 이용한 DEA모형의 프론티어 탐구)

  • 오동일
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.1 no.1
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    • pp.83-90
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    • 2000
  • DEA is a newly developed analyzing tool to measure efficiency evaluation of decision making units (DMU). It compares DMU by radial Projection on the efficient frontier. The purpose of this study is to show reference point approach used for searching solution in multiple objective linear Programming can be usefully used to determine flexible efficient frontier of each DMU In reference point approach, the minimization of ASF Produces an efficient points in frontier and enhances the usefulness of DEA by Providing flexibility in DEA and optimally allocating resources to DMU. Various DEA models can be supported by reference point method by changing the projection direction in order to choose the targets units, standards costs and management benching-marking.

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Vehicle Reference Dynamics Estimation by Speed and Heading Information Sensed from a Distant Point

  • Yun, Jeonghyeon;Kim, Gyeongmin;Cho, Minhyoung;Park, Byungwoon;Seo, Howon;Kim, Jinsung
    • Journal of Positioning, Navigation, and Timing
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    • v.11 no.3
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    • pp.209-215
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    • 2022
  • As intelligent autonomous driving vehicle development has become a big topic around the world, accurate reference dynamics estimation has been more important than before. Current systems generally use speed and heading information sensed from a distant point as a vehicle reference dynamic, however, the dynamics between different points are not same especially during rotating motions. In order to estimate properly estimate the reference dynamics from the information such as velocity and heading sensed at a point distant from the reference point such as center of gravity, this study proposes estimating reference dynamics from any location in the vehicle by combining the Bicycle and Ackermann models. A test system was constructed by implementing multiple GNSS/INS equipment on an Robot Operating System (ROS) and an actual car. Angle and speed errors of 10° and 0.2 m/s have been reduced to 0.2° and 0.06 m/s after applying the suggested method.