• Title/Summary/Keyword: pattern mapping

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Design and Implementation of 2.5D Mapping System for Cloth Pattern (의복패턴을 위한 2.5D 맵핑 시스템의 설계 및 구현)

  • Kim, Ju-Ri;Joung, Suck-Tae;Jung, Sung-Tae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.4
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    • pp.611-619
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    • 2008
  • 2.5D Mapping system that embody in this paper can make new design by doing draping to live various texture and model picture image of fashion clothes by pattern, and can confirm clothes work to simulation without producing direction sample or product directly. Also, the system can support function that can forecast fabric design and state of end article exactly, and the system can bring competitive power elevation of fashion industry and cost-cutting effect by doing draping using database of fabric and model picture image. 2.5D Mapping system composed and embodied by mesh warp algorithm module, light and shade extraction and application module, mapping path extraction module, mesh creation and transformation module, and 2.5D mapping module for more natural draping. Future work plans to study 3D fashion design system that graft together 3D clothes technology and 3D human body embodiment technology to do based on embodiment technology of 2.5D mapping system and overcomes expression limit of 2.5D mapping technology.

EKF-based Simultaneous Localization and Mapping of Mobile Robot using Laser Corner Pattern Matching (레이저 코너 패턴의 매칭을 이용한 이동 로봇의 EKF 기반 SLAM)

  • Kim, Tae-Hyeong;Park, Tae-Hyoung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.12
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    • pp.2094-2102
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    • 2016
  • In this paper, we propose an extended Kalman filter(EKF)-based simultaneous localization and mapping(SLAM) method using laser corner pattern matching for mobile robots. SLAM is one of the most important problems of mobile robot. However, existing method has the disadvantage of increasing the computation time, depending on the number of landmarks. To improve computation time, we produce the corner pattern using classified and detected corner points. After producing the corner patterns, it is estimated that mobile robot's global position by matching them. The estimated position is used as measurement model in the EKF. To evaluated proposed method, we preformed the experiments in the indoor environments. Experimental results of proposed method are shown to maintain an accuracy and decrease the computation time.

Visual Inspection of Tube Internal

  • Choi, Young-Soo;Cho, Jai-Wan;Kim, Chang-Hoi;Seo, Yong-Chil;Kim, Seung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.789-792
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    • 2003
  • Pipe inspection has a great importance to ensure safety for the nuclear power plant. In this paper, we designed visual inspection module for the tube internal, which diameter is 15${\sim}$20mm. And we made inspection module which consisted of CCD camera and light. And the relation between image and real world coordinate is established. Image processing is performed to calculate mapping parameter and analyze the size of defect. For the calculation of mapping parameter, experiment is performed using grid type test pattern. Acquired image is processed to extract image coordinate. Edge detection, thresholding, median filtering and morphology filtering is applied to extract grid pattern. Extracted image coordinate is used to calculate image to real world mapping. Lens distortion was considered and corrected to get exact data. Coordinate transformation data is provided for the users to recognize easily. Experiment was performed using grid type test pattern, we extracted lens distortion parameter and real coordinate of defect point. Radial distortion of lens was corrected but tangential distortion was not considered. As continuum to this study, the tangential distortion of lens is considered and improvement of analy zing technique for the tube internal be explored continuously.

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The kontsevich conjecture on mapping class groups

  • Hong, Sung-Bok
    • Communications of the Korean Mathematical Society
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    • v.11 no.3
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    • pp.815-823
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    • 1996
  • M. Kontsevich posed a problem on mapping class groups of 3-manifold that is if M is a compact 3-manifold with nonempty boundary, then BDiff (M rel $\partial$ M) has the homotopy type of a finite complex. Here, Diff (M rel $\partial$ M) is the group of diffeomorphisms of M which restrict to the identity on $\partial$ M, and BDiff (M rel $\partial$ M) is its classifying space. In this paper we resolve the problem affirmatively in the case when M is a Haken 3-manifold.

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Analysis of Liquefaction in Son-do Reclaimed land (송도매립지역의 액상화분석)

  • Shin, Eun-Chul;Kim, Sung-Hwan;Oh, Young-In
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.03a
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    • pp.1446-1453
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    • 2008
  • This paper presents the mapping of liquefaction for the Incheon Song-do reclamation area using both the liquefaction potential index(LPI) and the equivalent liquefaction factor of safety(FE). As a result, the mapping of liquefaction based on LPI and FE shows similar distribution pattern. Therefore, the mapping of liquefaction presented in this study will be a convenient index for use when the mapping of liquefaction for the Incheon Song-do reclamation area is drawn up. It will make selection of area that needs specific estimation and areas with adaptation of liquefaction counteraction construction methods for the future reclaimed land with the economical soil investigation.

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Designing on improved combined mapping based on soft-decision for wideband LSP coefficients pattern estimation (광대역 LSP 계수의 패턴 추론을 위한 연판정 기반 개선된 조합 매핑 설계)

  • Jeon, Jong-geun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.805-807
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    • 2018
  • 본 논문은 인공 대역 확장에서 스펙트럼 포락선 확장 시 발생하는 스펙트럼 왜곡을 줄이는 개선된 조합 매핑(Improved combined mapping) 알고리즘을 제안한다. 벡터양자화를 기반으로 하는 코드북 매핑(Codebook mapping)과 스펙트럼 포락선(Spectrum Envelope)의 선형 의존도를 이용한 선형 매핑(Linear mapping)을 사용하여 각각 확장된 광대역 LSP(Line Spectrum Pair)를 추론하고, 연판정(Soft-decision)을 통해 최적화된 LSP를 추론한다. 제안된 알고리즘으로 합성된 음성신호의 스펙트럼 왜곡(Spectrum Distortion)이 기존 조합매핑으로 얻은 음성 신호의 스펙트럼 왜곡보다 더 적은 왜곡을 갖는 결과를 나타내었다.

Mapping of UV-B sensitive gene in Arabidopsis by CAPS markers (CAPS marker에 의한 Arabidopsis의 자외선 B 감수성 유전자 지도작성)

  • 박홍덕;김종봉
    • Journal of Life Science
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    • v.12 no.6
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    • pp.715-720
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    • 2002
  • A mutant Arabidopsis thaliana which is very sensitive to Ultraviolet-B(UV-B) radiation has been isolated by ethylmethane sulfonate(EMS) mutagenesis. Genetic cross proved the UV-sensitive gene(uvs) to segregate as a single Mendelian locus. For mapping of uvs, we crossed Arabidopsis thaliana Lansberg with uvs plant(Columbia), and made F2 plants by F1 selfcross. We designed 10 kinds of CAPS marker primers. Each primers amplifies a single mapped DNA sequence from uvs and Lansberg erecta ecotyres. Also identified was at least one restriction endonuclase for each of these PCR product that generates ecotype-specific digestion pattern. We got crossing over value of UB-sensitivity and each CAPS marker which located on different chromosome arm. The value of crossing over showed that uvs was linked to LFY3 which was on chromosome 5.

Displacement Measurement Algorithm Based on Signal Mapping in LVDT Structure (LVDT 구조를 이용한 신호 매핑 기반의 변위측정 알고리즘)

  • Son, Jin-Ho;Cho, Sang-Bock
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.12
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    • pp.97-102
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    • 2011
  • We propose a novel displacement measurement method in the LVDT (Linear Variable Differential Transformer) structure. This proposed algorithm is independent of coil pattern, which may be implemented to PCB, or transformer component, because it is based on the signal-mapping method. we have manufactured several boards which have different coil patterns and our algorithm is ported into TMS320F2812 of TI DSP chipset. The output signal has high accuracy and high stability although PCB coil pattern are coarse.

PAPR-minimized Sequence Mapping with Data Space Reduction by Partial Data Side Information in OFDM System (OFDM 시스템에서 부분 데이터 추가정보를 이용한 데이터 공간 감소를 갖는 최대 전력 대 평균 전력 비 최소화 시퀀스 사상 기법)

  • Jin Jiyu;Ryu Kwan Woongn;Park Yong wan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.12A
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    • pp.1340-1348
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    • 2004
  • In this paper, we propose a PAPR-minimized sequence mapping scheme that achieves the minimum Peak-to-Average Power Ratio (PAPR) and the minimum amount of computations for the OFDM system. To reduce the PAPR, the mapping table is created with information about block index and symbol patterns of the lower signal power. When the input data sequence comes, it performed division by the block length to find the quotient and remainder. The symbol pattern of the lower signal power can be found in terms of the block index as the quotient in the mapping table and transmitted with remainder as the side information to distinguish and recover the original data sequence in the receiver. The two methods with the proposed mapping scheme are proposed in this paper. One is with mapping table to recover the O%M signal in both transmitter and receiver. The other is with mapping table only in transmitter to reduce the load and the complexity in the mobile system. We show that this algorithm provides the PAPR reduction, the simple processing and less computational complexity to be implemented for the multi-carrier system.

A Study on the Pattern Recognition based Distance Protective Relaying Scheme in Power System (전력계통의 패턴인식형 거리계전기법에 관한 연구)

  • 이복구;윤석무;박철원;신명철
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.2
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    • pp.9-20
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    • 1998
  • In this paper, a new distance relaying scheme is proposed. Artificial neural networks are applied to the distance relaying system composed of pattern recognition based. The proposed distance relaying scheme has two blocks of pattern recognition stages to estimate the fundamental frequency and to classify the fault types. In the first block, a filtering method using neural networks called a neural networks mapping filter(NMF) is presented to efficiently extract the features. And in the sec'ond block, the estimator called neural networks fault pattern estimator(NFPE) is also presented to classify the fault types by the extracted effective features obtained from NMF. Each block of these applied schemes is trained by back-propagation algorithm of multilayer perceptron and show the fast and accurate pattern recognition by ability of multilayer neural networks. The test result of this approach are obtained the good performance from the fault transient wave signals of EMTP(e1ectromagnetic transients program) in the various fault conditions of power systems.

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