• 제목/요약/키워드: map mapping

검색결과 1,438건 처리시간 0.024초

Construction of a Genetic Linkage Map of Shiitake Mushroom Lentinula Edodes Strain L-54

  • Hoi-Shan, Kwan;Hai-Lou, Xu
    • BMB Reports
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    • 제35권5호
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    • pp.465-471
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    • 2002
  • From fruiting bodies of L. edodes strain L-54, single-spore isolates (SSIs) were collected. Two parental types of L-54 were regenerated via monokaryotization. By means of random-amplified polymorphic DNA (RAPD), DNA samples from L-54, its two parental types, and 32 SSIs were amplified with arbitrary primers. Dedikaryotization was demonstrated, and 91 RAPD-based molecular markers were generated. RAPD markers that were segregated at a 1:1 ratio were used to construct a linkage map of L. edodes. This RAPD-linkage map greatly enhanced the mapping of other inheritable and stable markers [such as those that are linked to a phenotype (the mating type), a known gene (priA) and a sequenced DNA fragment (MAT)] with the aid of mating tests, bulked-segregant analysis, and PCR-single-strand conformational polymorphism. These markers comprised a genetic map of L. edodes with 14 linkage groups and a total length of 622.4 cM.

A METHOD OF IMAGE DATA RETRIEVAL BASED ON SELF-ORGANIZING MAPS

  • Lee, Mal-Rey;Oh, Jong-Chul
    • Journal of applied mathematics & informatics
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    • 제9권2호
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    • pp.793-806
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    • 2002
  • Feature-based similarity retrieval become an important research issue in image database systems. The features of image data are useful to discrimination of images. In this paper, we propose the highspeed k-Nearest Neighbor search algorithm based on Self-Organizing Maps. Self-Organizing Maps (SOM) provides a mapping from high dimensional feature vectors onto a two-dimensional space. The mapping preserves the topology of the feature vectors. The map is called topological feature map. A topological feature map preserves the mutual relations (similarity) in feature spaces of input data. and clusters mutually similar feature vectors in a neighboring nodes. Each node of the topological feature map holds a node vector and similar images that is closest to each node vector. In topological feature map, there are empty nodes in which no image is classified. We experiment on the performance of our algorithm using color feature vectors extracted from images. Promising results have been obtained in experiments.

COMMON FIXED POINTS OF A LIMIT WEAK COMPATIBLE PAIR OF A MULTIVALUED MAPPING AND A SINGLE VALUED MAPPING IN D-METRIC SPACES

  • Singh, Bijendra;Jain, Shobha;jain, Shishir
    • East Asian mathematical journal
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    • 제22권1호
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    • pp.35-51
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    • 2006
  • This paper deals with a general contraction. Two fixed-point theorems for a limit weak-compatible pair of a multi-valued map and a self map on a D-metric space have been established. These results improve significantly, the main results of Dhage, Jennifer and Kang [5] by reducing its assumption and generalizing its contraction simultaneously. At the same time some results of Singh, Jain and Jain [12] are generalized from a self map to a pair of a set-valued and a self map. Theorems of Veerapandi and Rao [16] get generalized and improved by these results. All the results of this paper are new.

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위성영상을 이용한 부산항만 주변지역 토지피복분류 및 시설물관리 구축 방안 (A Study on the Land Cover Classification and Facilities Management of Pusan Port using Satellite data)

  • 이기철;김정희;이병환
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1998년도 추계학술대회논문집:21세기에 대비한 지능형 통합항만관리
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    • pp.59-65
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    • 1998
  • A thematic land cover map of Pusan port area was developed using Landsat satellite TM(Thematic Mapper) image. Two types of digital data which are road and sea water layer are extracted from existing paper map were overlayed over the developed land cover map. SPIN-2(KNR-1000) image was utilized to make a facility map of JaSungDae port. SPIN-2 image, which has a cell resolution of 1.56 m showed higer accuracy than TM image, which has a cell resolution of 30 m for facility mapping. Overall, the techniques of digital mapping using satellite image are very useful, effective and efficient.

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Combined Genome Mapping of RFLP-AFLP-SSR in Pepper

  • Lee, Je Min;Kim, Byung-Dong
    • Genomics & Informatics
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    • 제1권2호
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    • pp.108-112
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    • 2003
  • We have constructed a molecular linkage map of pepper (Capsicum spp.) in an interspecific $F_2$ population of 107 plants with 320 RFLP, 136 AFLP, and 46 SSR markers. The resulting linkage map consists of 15 linkage groups covering 1,720 cM with an average map distance of 3.7 cM between framework markers. Most RFLP markers ($80\%$) were pepper-derived clones and these markers were evenly distributed all over the genome. Genes for defense and biosynthesis of carotenoids and capsaicinoids were mapped on this linkage map. By using 30 primer combinations, AFLP markers were generated in the $F_2$ population. For development of SSR markers in Capsicum, microsatellites were isolated from two small-insert genomic libraries and the GenBank database. This combined map provides a starting point for high-resolution QTL analysis, gene isolation, and molecular breeding.

레이저 레이다를 이용한 무인차량의 지도생성 알고리즘 개발 (The Development of a Map Building Algorithm using LADAR for Unmanned Ground Vehicle)

  • 이정엽;이상훈;김정하;한창수
    • 제어로봇시스템학회논문지
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    • 제15권12호
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    • pp.1246-1253
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    • 2009
  • To be high efficient for a navigation of unmanned ground vehicle, it must be able to distinguish between safe and hazardous regions in its immediate environment. We present an advanced method using laser range finder for building global 2D digital maps that include environment information. Laser range finder is used for mapping of obstacles and driving environment in the 2D laser plane. Rotary encoders are used for localization of UGV. The main contributions of this research are the development of an algorithm for global 2D map building and it will turn a UGV navigation based on map matching into a possibility. In this paper, a map building algorithm will be introduced and an assessment of algorithm reliability is judged at an each environment.

센서융합을 통한 시맨틱 지도의 작성 (Sensor Fusion-Based Semantic Map Building)

  • 박중태;송재복
    • 제어로봇시스템학회논문지
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    • 제17권3호
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    • pp.277-282
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    • 2011
  • This paper describes a sensor fusion-based semantic map building which can improve the capabilities of a mobile robot in various domains including localization, path-planning and mapping. To build a semantic map, various environmental information, such as doors and cliff areas, should be extracted autonomously. Therefore, we propose a method to detect doors, cliff areas and robust visual features using a laser scanner and a vision sensor. The GHT (General Hough Transform) based recognition of door handles and the geometrical features of a door are used to detect doors. To detect the cliff area and robust visual features, the tilting laser scanner and SIFT features are used, respectively. The proposed method was verified by various experiments and showed that the robot could build a semantic map autonomously in various indoor environments.

THE ACTION OF IMAGE OF BRAIDING UNDER THE HARER MAP

  • Song Yong-Jin
    • 대한수학회논문집
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    • 제21권2호
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    • pp.337-345
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    • 2006
  • John Harer conjectured that the canonical map from braid group to mapping class group induces zero homology homomorphism. To prove the conjecture it suffices to show that this map preserves the first Araki-Kudo-Dyer-Lashof operation. To get information on this homology operation we need to investigate the image of braiding under the Harer map. The main result of this paper is to give both algebraic and geometric interpretations of the image of braiding under the Harer map. For this we need to calculate long chains of consecutive actions of Dehn twists on the fundamental group of surface.

Automatic 3D Symbol Mapping Techniques for Construction of 3D Digital Map

  • Park, Seung-Yong;Lee, Jae-Bin;Yu, Ki-Yun;Kim, Yong-Il
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.106-109
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    • 2006
  • Over the years, many researches have been performed to create 3D digital maps. Nevertheless, it is still time-consuming and involves a high cost because a large part of 3D digital mapping is conducted manually. To compensate this limitation, we propose methodologies to represent 3D objects as 3D symbols and locate these symbols into a base map automatically. First of all, we constructed the 3D symbol library to represent 3D objects as 3D symbols. In the 3D symbol library, the attribute and geometry information are stored, which defines factors related to the types of symbols and related to the shapes respectively. These factors were used to match 3D objects and 3D symbols. For automatic mapping of 3D symbols into a base map, we used predefined parameters such as the size, the height, the rotation angle and the center of gravity of 3D objects which are extracted from Light Detection and Ranging (LIDAR) data and 2D digital maps. Finally, the 3D map in urban area was constructed and the mapping results were tested using aerial photos as reference data. Through this research, we can identify that the developed the algorithms can be used as effective techniques for 3D digital cartographic techniques

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중해상도 위성영상을 이용한 지도제작 시험연구 (A Pilot Project on Producing Topographic Map Using Medium Resolution Satellite Image)

  • 박희주;한상득;안기원;박병욱
    • 한국측량학회지
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    • 제19권4호
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    • pp.373-383
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    • 2001
  • 본 연구에서는 중해상도 위성영상으로 대표적인 SPOT, 아리랑, IRS-1C위성영상에 대하여 각기 하나의 입체모델을 이용한 지도제작 실험을 수행하였으며, 각각에 대한 위치정확도, 판독 및 묘사가능한 지형지물의 분석, 기존 수치지도와의 비교 등을 통하여, 제작가능한 지도축척의 범위에 대한 기술적인 검토 및 경제성 검토를 하였다. 도화작업에 있어서, SPOT 영상은 수치입체도화기를 사용한 3차원 도화를 하였으며, 아리랑 및 IRS-lC 위성영상은 데이터에 대한 시스템 지원상의 문제가 있어서 영상정합 방법으로 수치표고모형을 생성한 후 정사보정영상을 제작하여 head-up digitizing에 의한 2차원 도화를 실시하였다. 실험 결과 중해상도 영상으로 큰 도로, 하천, 수애선 등 일부 항목에 대하여 판독과 묘사가 가능하였지만, 불가능한 항목이 많았다. 지도제작 측면에서 SPOT은 1/50,000지형도 수정용, 아리랑 및 IRS-lC는 1/25,000지형도의 수정용으로 활용이 가능하다고 판단되었다.

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