• Title/Summary/Keyword: 2D/2D matching

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A Study on the Fabrication Technologies for the 23 GHz 2-Stage LNA (23 GHz대 2단 저잡음 증폭기의 제작기술에 관한 연구)

  • 안동식;장동필
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.8 no.1
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    • pp.52-60
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    • 1997
  • A 23GHz 2-stage LNA was designed using MPIE numerical analysis and microwave CAD EEsof softwares. The basic circuit was designed by EEsof tools but analyzed more precisely using numerical MPIE tools and modified. The matching sections of the input and output terminals were designed with paralledl coupled filter-type lines, these matching sections perform impedance matching and DC blocking, more over have the advantages of small discontinuities and small errors in the design process. The FET chip is directly attached to the ground metal. The designed LNA gives 15.2dB gain and 2.7dB noise figure. without considering 1.8dB loss of connectors. These results validate our design process and matching schemes and fabrication technologies over the 20GHz frequency range.

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2D Design Feature Recognition using Expert System (전문가 시스템을 이용한 2차원 설계 특징형상의 인식)

  • 이한민;한순흥
    • Korean Journal of Computational Design and Engineering
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    • v.6 no.2
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    • pp.133-139
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    • 2001
  • Since a great number of 2D engineering drawings are being used in industry and at the same time 3D CAD becomes popular in recent years, we need to reconstruct 3D CAD models from 2D legacy drawings. In this thesis, a combination of a feature recognition method and an expert system is suggested for the 3D solid model reconstruction. Modeling primitives of 3D CAD systems are recognized and constructed by using the pattern matching technique of the features modeling. Additional information for the 3D model reconstruction can be generated by extracting symbols or text entities which are related to form entities. For complex and indefinite cases which cannot be solved by the process of feature recognition, an expert system with a rule base has been used for decision-making. A 3D reconstruction system which recognizes 2D DXF drawing files has been implemented where models composed with protrusions, holes, and cutouts can be handled.

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2-D Shape Matching using pivot vector and componentwise adaptive convergence factor (축 벡터 (pivot vector)와 적응 수렴 계수(cacf)를 사용한 2차원 형상 인식)

  • Har, Dong-Soo;Lee, Sang-Uk;Sung, Koeng-Mo
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1457-1460
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    • 1987
  • 2-D shape matching algorithm is proposed which uses pivot vector and componentwise adaptive convergence factor. It is proved that proposed algorithm has better result than any other algorithm. It is to be expected that this algorithm will work effectively in 3-D shape matching.

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Faster D2-Net for Screen Image Matching (스크린 이미지 매칭을 위한 Faster D2-Net)

  • Chun, Hye-Won;Han, Seong-Soo;Jeong, Chang-Sung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.429-432
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    • 2021
  • 스마트 기기와 애플리케이션의 테스트를 위해 빠르고 정확하게 스마트 기기 화면 상에서 테스트가 필요한 위치를 추출해야 한다. 필요한 위치를 추출할 때 스마트 기기 화면과 테스트할 수 있는 영역의 매칭 방식을 사용하는데 이를 위해 이미지의 변형이 발생해도 원하는 영역의 matching point 을 빠르고 정확하게 추출하는 feature matching 방식의 D2-Net 의 feature extraction 모델과 fitting algorithm 을 변경하였다.

6.2~9.7 GHz Wideband Low-Noise Amplifier Using Series RLC Input Matching and Resistive Feedback (직렬 RLC 입력 정합 및 저항 궤환 회로를 이용한 6.2~9.7 GHz 광대역 저잡음 증폭기 설계)

  • Park, Ji An;Cho, Choon Sik
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.24 no.11
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    • pp.1098-1103
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    • 2013
  • A low-noise amplifier(LNA) using series RLC matching network and resistive feedback at 8 GHz is presented. Inductive degeneration is used for the input matching with which the proposed LNA shows quite a wide bandwidth in terms of $S_{21}$. An equivalent circuit model is deduced for input matching by conversion from parallel circuit to series resonant circuit. By exploiting the resistive feedback and series RLC input matching, fully integrated LNA achieves maximum $S_{21}$ of 8.5 dB(peak to -3 dB bandwidth is about 3.5 GHz) noise figure of 5.9 dB, and IIP3 of 1.6 dBm while consuming 7 mA from 1.2 V supply.

3D Line Segment Detection using a New Hybrid Stereo Matching Technique (새로운 하이브리드 스테레오 정합기법에 의한 3차원 선소추출)

  • 이동훈;우동민;정영기
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.4
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    • pp.277-285
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    • 2004
  • We present a new hybrid stereo matching technique in terms of the co-operation of area-based stereo and feature-based stereo. The core of our technique is that feature matching is carried out by the reference of the disparity evaluated by area-based stereo. Since the reference of the disparity can significantly reduce the number of feature matching combinations, feature matching error can be drastically minimized. One requirement of the disparity to be referenced is that it should be reliable to be used in feature matching. To measure the reliability of the disparity, in this paper, we employ the self-consistency of the disunity Our suggested technique is applied to the detection of 3D line segments by 2D line matching using our hybrid stereo matching, which can be efficiently utilized in the generation of the rooftop model from urban imagery. We carry out the experiments on our hybrid stereo matching scheme. We generate synthetic images by photo-realistic simulation on Avenches data set of Ascona aerial images. Experimental results indicate that the extracted 3D line segments have an average error of 0.5m and verify our proposed scheme. In order to apply our method to the generation of 3D model in urban imagery, we carry out Preliminary experiments for rooftop generation. Since occlusions are occurred around the outlines of buildings, we experimentally suggested multi-image hybrid stereo system, based on the fusion of 3D line segments. In terms of the simple domain-specific 3D grouping scheme, we notice that an accurate 3D rooftop model can be generated. In this context, we expect that an extended 3D grouping scheme using our hybrid technique can be efficiently applied to the construction of 3D models with more general types of building rooftops.

An Efficient Partial Matching System and Region-based Representation for 2D Images (2D 영상의 효과적인 부분 정합 시스템과 영역기반 영상 표현)

  • Kim, Seon-Jong
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.9
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    • pp.868-874
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    • 2007
  • This paper proposes an efficient partial matching system and representation by using a region-based method for 2D image, and we applied to an extraction of the ROI(Region of Interest) according to its matching score. The matching templates consist of the global pattern and the local one. The global pattern can make it by using region-based relation between center region and its rest regions in an object. And, the local pattern can be obtained appling to the same method as global, except relation between objects. As the templates can be normalized, we use this templates for extraction of ROI with invariant to size and position. And, our system operates only one try to match, due to normalizing of region size. To use our system for searching and examining if it's the ROI by evaluating the matching function, at first, we are searching to find candidate regions with the global template. Then, we try to find the ROI among the candidates, and it works this time by using the local template. We experimented to the binary and the color image respectively, they showed that the proposed system can be used efficiently for representing of the template and the useful applications, such as partially retrievals of 2D image.

Implementation of LTCC Triplexer Band Based on Conjugate Matching Method (복소 매칭 방법을 이용한 LTCC Triplexer 구현)

  • Ha, Sang-Hoon;Kim, Hyeong-Seok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1288-1293
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    • 2007
  • In this paper, a compact triplexer has been implemented for Cellular/GPS/USPCS applications. In order to realize the proposed triplexer, we use a low-temperature co-fired ceramic (LTCC) substrate to enable a fully compact integrated module using a multi-layer high-density architecture, and conjugate-match the channels instead of the open matching technique. The three dimensional design capability of LTCC substrates can reduce the overall size of the triplexer, resulting in dimensions on the order of $3.2\;mm\;{\times}\;2.5\;mm\;{\times}\;1\;mm$. The measured result shows that the triplexer has, in Cellular/GPS/USPCS bands, the insertion loss of less than 0.5dB, less than 1.7dB, and less than 0.9dB in order. Also, the triplexer has an isolation of more than 15dB in the cellular and USPCS bands and an isolation of more than 20dB in the GPS band.

Social-Aware Resource Allocation Based on Cluster Formation and Matching Theory in D2D Underlaying Cellular Networks

  • Zhuang, Wenqin;Chen, Mingkai;Wei, Xin;Li, Haibo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.1984-2002
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    • 2020
  • With the appearance of wireless spectrum crisis in traditional cellular network, device-to-device (D2D) communication has been regarded as a promising solution to ease heavy traffic burden by enabling precise content delivery among mobile users. However, due to the channel sharing, the interference between D2D and cellular users can affect the transmission rate and narrow the throughput in the network. In this paper, we firstly present a weighted interference minimization cluster formation model involving both social attribute and physical closeness. The weighted-interference, which is evaluated under the susceptible-infected(SI) model, is utilized to gather user in social and physical proximity. Then, we address the cluster formation problem via spectrum clustering with iterative operation. Finally, we propose the stable matching theory algorithm in order to maximize rate oriented to accomplish the one-to-one resource allocation. Numerical results show that our proposed scheme acquires quite well clustering effect and increases the accumulative transmission rate compared with the other two advanced schemes.

3-D Reconstruction of Buildings using 3-D Line Grouping for Urban Modeling

  • Jung, Young-Kee
    • Journal of information and communication convergence engineering
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    • v.7 no.1
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    • pp.1-6
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    • 2009
  • In order to obtain a 3-D urban model, an abstraction of the surface model is required. This paper describes works on the 3D reconstruction and modeling by the grouping 3D line segments extracted from the stereo matching of edges, which is derived from multiple images. The grouping is achieved by conditions of degrees and distances between lines. Building objects are determined by the junction combinations of the grouped line segments. The proposed algorithm demonstrates effective results of 3D reconstruction of buildings with 2D aerial images.