• 제목/요약/키워드: neighbor spot

검색결과 12건 처리시간 0.027초

2차원 전기영동 영상의 스팟 정합을 위한 Landmark 스팟쌍의 검출 (Detection of Landmark Spots for Spot Matching in 2DGE)

  • 한찬명;석수영;윤영우
    • 한국산업융합학회 논문집
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    • 제14권3호
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    • pp.105-111
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    • 2011
  • Landmark Spots in 2D gel electrophoresis are used in many methods of 2DEG spot matching. Landmark Spots are obtained manually and it is a bottle neck in the entire protein analysis process. Automated landmark spots detection is a very crucial topic in processing a massive amount of 2DGE data. In this paper, Automated landmark spot detection is proposed using point pattern matching and graph theory. Neighbor spots are defined by a graph theory to use and only a centered spot and its neighbor spots are considered for spot matching. Normalized Hausdorff distance is introduced as a criterion for measuring degree of similarity. In the conclusion, the method proposed in this paper can get about 50% of the total spot pairs and the accuracy rate is almost 100%, which the requirements of landmark spots are fully satisfied.

다중 발화점을 이용한 Grassfire 스팟매칭 기법 (Grassfire Spot Matching Method for multi-seed matched spot pair)

  • 류윤규
    • 한국정보컨버전스학회논문지
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    • 제7권2호
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    • pp.59-65
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    • 2014
  • grassfire 스팟매칭 알고리즘은 중심 스팟을 기준으로 이웃 스팟들의 패턴 유사도에 따라 스팟을 매칭하는 알고리즘으로 잔디에 붙는 불이 사방으로 번져가는 방식을 이용한 grassfire 알고리즘을 이다. 씨드 스팟쌍은 매칭이 정확하게 확인된 스팟쌍으로써 매칭이 시작되는 발화점이며 이것으로부터 스팟매칭이 시작된다. grassfire 스팟매칭 알고리즘에서는 스팟매칭을 시작하는 발화점이 필요한데 기존 grassfire 스팟매칭 알고리즘에서는 한 개의 발화점을 이용하였다. 본 논문에서는 grassfire 알고리즘의 스팟매칭의 성능을 높이기 위하여 한 개의 발화점이 아닌 다중의 발화점을 선정하는 방법을 제안한다. 다중 발화점을 이용한 grassifre 알고리즘은 여러 개의 발화점을 선정한 후 개별 발화점으로부터 스팟매칭을 수행하고 결과들을 계산한다. 제안된 알고리즘은 한 개의 씨드스팟을 이용한 방법보다 스팟 검출율과 스팻매칭 정확도의 측면에서 좋은 성능을 보인다.

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Micro lens array 설계 (Design of micro lens array)

  • 홍경희
    • 한국광학회지
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    • 제5권2호
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    • pp.204-211
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    • 1994
  • 팩시밀이나 복사기용으로 이용되는 micro lens array를 설계하였다. array 형태는 육각형배열이고 유효경은 0.160mm, 가장 가까운 이웃렌즈의 중심간 거리는 0.192mm로 하였다. 결상계의 횡배율은 1.0이다. single layer는 working distance가 10.55mm, double layer는 working distance가 7.90mm가 되었다. 각각의 성능은 ray fan을 계산하여 그 특성을 조사하였으며 서로 비교하였다.

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Intelligent recommendation method of intelligent tourism scenic spot route based on collaborative filtering

  • Liu Hui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권5호
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    • pp.1260-1272
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    • 2024
  • This paper tackles the prevalent challenges faced by existing tourism route recommendation methods, including data sparsity, cold start, and low accuracy. To address these issues, a novel intelligent tourism route recommendation method based on collaborative filtering is introduced. The proposed method incorporates a series of key steps. Firstly, it calculates the interest level of users by analyzing the item attribute rating values. By leveraging this information, the method can effectively capture the preferences and interests of users. Additionally, a user attribute rating matrix is constructed by extracting implicit user behavior preferences, providing a comprehensive understanding of user preferences. Recognizing that user interests can evolve over time, a weight function is introduced to account for the possibility of interest shifting during product use. This weight function enhances the accuracy of recommendations by adapting to the changing preferences of users, improving the overall quality of the suggested tourism routes. The results demonstrate the significant advantages of the approach. Specifically, the proposed method successfully alleviates the problem of data sparsity, enhances neighbor selection, and generates tourism route recommendations that exhibit higher accuracy compared to existing methods.

위성영상 및 항공사진을 활용한 시설재배면적의 시공간적 변화 유형 분석 - 밀양 상남면과 삼랑진읍을 중심으로 - (Analysis of the Spatiotemporal Change Patterns of Greenhouse Areas Using Aerial and Satellite Imagery - A Case of Sangnam-myeon and Samrangjin-eup at Miryang -)

  • 장민원;조현경;김수진;백미경
    • 한국농공학회논문집
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    • 제62권6호
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    • pp.21-31
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    • 2020
  • This study analyzed the spatio-temporal change pattern of greenhouse areas for Sangnam-myeon and Samrangjin-eup of Miryang-si in Gyeongnam, which is one of major greenhouse area. First, in order to overcome the lack of statistical data of the distribution of greenhouses, aerial and satellite images were interpreted from 1987 to 2018, and the spatial distribution of the greenhouse parcels which has continuously increased was mapped based on the digital cadastral map. Next, through the emerging hot spot tool in ArcGIS Desktop, the spatio-temporal change in transition from open-field to greenhouse cultivation was classified into 9 clusters. About 67.7% of the target area was categorized as a hot spot, and the pattern of New hot spot, which were recently converted to greenhouse parcels, covered about 34.1%. While, about 11.3% of parcels were expected to keep the existing open-field cultivation practice for a while. Overall, the greenhouse parcels have been densely developed along a river and were lately expanding even to the far neighbor. It implied that, in the future, the competition of water intake among farms would be more serious and the environmental responsibility in consideration of water quality as well as quantity would be getting strengthened due to increasing pollution loads and river intake.

Object-oriented Information Extraction and Application in High-resolution Remote Sensing Image

  • WEI Wenxia;Ma Ainai;Chen Xunwan
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.125-127
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    • 2004
  • High-resolution satellite images offer abundance information of the earth surface for remote sensing applications. The information includes geometry, texture and attribute characteristic. The pixel-based image classification can't satisfy high-resolution satellite image's classification precision and produce large data redundancy. Object-oriented information extraction not only depends on spectrum character, but also use geometry and structure information. It can provide an accessible and truly revolutionary approach. Using Beijing Spot 5 high-resolution image and object-oriented classification with the eCognition software, we accomplish the cultures' precise classification. The test areas have five culture types including water, vegetation, road, building and bare lands. We use nearest neighbor classification and appraise the overall classification accuracy. The average of five species reaches 0.90. All of maximum is 1. The standard deviation is less than 0.11. The overall accuracy can reach $95.47\%.$ This method offers a new technology for high-resolution satellite images' available applications in remote sensing culture classification.

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제주도와 동해 근해에 서식하는 자리돔(Chromis notata)의 형태와 유전특성 비교 (Morphological and Genetic Characteristics of Pearl-spot Damselfish Chromis notata (Teleostei: Pomacentridae) in Coastal Waters of East Sea (Sea of Japan) and Jejudo)

  • 신혜정;김선욱;최영웅
    • Ocean and Polar Research
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    • 제36권2호
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    • pp.189-197
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    • 2014
  • The pearl-spot damsel, Chromis notata, is one of the important fishery species in Korea. While C. notata has been commonly harvested in southern Korea, the increasing number of C. notata in higher latitudes has crucial ecological, economic and evolutionary implications under conditions where the climate is rapidly changing. Here we examined the morphological and genetic characteristics of C. notata to assess patterns of geographical variations among the groups from three different sites. The groups were clearly distinguishable in the analysis of morphological characteristics. On the other hand, the groups were genetically indistinguishable. All individuals fell within a single clade in the neighbor-joining tree but appeared scattered in the haplotype network. Several haplotypes are shared among the sampling sites (Jejudo-Ulleungdo; Hap 9, Wangdolcho-Ulleungdo; Hap 28, Hap 33, Hap 34). Although control region markers did not elucidate the spatial patterns in genetic characteristics, Wangdolcho and Ulleungdo groups appear to exhibit a more robust gene flow between the two groups than with Jejudo group. Integrative approaches such as those combining morphological and genetic analyses minimize potential errors caused by limited perspectives of each analysis and can provide useful information for discovering functional DNA regions attributable to morphological characteristics expressions.

Nd:YAG 레이저를 이용한 비정질재료의 심(seam) 용접 (Seam Welding of Amorphous Metal with Nd:YAG laser)

  • 이건상
    • 한국레이저가공학회지
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    • 제3권2호
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    • pp.45-51
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    • 2000
  • In this paper, the possibilities and the limits of the laser seam welding were studied to utilize the advantageous properties of amorphous metal foils. For the conventional welding method, the high heat transfer makes the crystallized zone of the work material unavoidable. The laser is able to weld the amorphous metal without a crystallized zone, because heat transfer is limited within a very small restricted volume. The crystallized zone is restricted in the neighbor of welding spot and not in the melting area. This can be proved directly by the etching and indirectly by the tensile shear test, micro hardness test and bending test. The overlapping of welding bead could form the formation of wider and thicker amorphous zone.

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비디오 파노라마 가상현실을 기반으로 하는 호서 사이버 패류 박물관의 연구 (A study on Web-based Video Panoramic Virtual Reality for Hose Cyber Shell Museum)

  • Hong, Sung-Soo;khan, Irfan;Kim, Chang-ki
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2012년도 추계학술발표대회
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    • pp.1468-1471
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    • 2012
  • It is always a dream to recreate the experience of a particular place, the Panorama Virtual Reality has been interpreted as a kind of technology to create virtual environments and the ability to maneuver angle for and select the path of view in a dynamic scene. In this paper we examined an efficient algorithm for Image registration and stitching of captured imaged from a video stream. Two approaches are studied in this paper. First, dynamic programming is used to spot the ideal key points, match these points to merge adjacent images together, later image blending is use for smooth color transitions. In second approach, FAST and SURF detection are used to find distinct features in the images and a nearest neighbor algorithm is used to match corresponding features, estimate homography with matched key points using RANSAC. The paper also covers the automatically choosing (recognizing, comparing) images to stitching method.

가스용기 운반 중 누출된 LPG의 정량적 위험 분석 (A Quantitative Risk Analysis of LPG Leaked During Cylinder Delivery)

  • 김병직;박기창;이근원
    • 한국가스학회지
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    • 제7권2호
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    • pp.33-41
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    • 2003
  • LPG는 사용, 저장, 생산 과정뿐만 아니라 이송 중에도 많은 잠재위험(Hazard)을 갖고있다. 소규모의 수요처일 경우, LPG 용기를 적재한 차량에 의해 지역 사업자에 의하여 배달된다. 만약 도심지역에 가스용기를 적재한 차량에 폭발사고가 발생한다면 주변지역에 재산 피해뿐 아니라 상당한 인명피해를 초래할 것이다 본 연구에서는 LPG 누출 사례연구를 통하여 가스용기를 이용한 LPG의 운반 중에 사고의 원인이 되는 잠재위험을 확인한 후 사고발생 시나리오를 작성하고 발생 가능성과 피해결과를 예측하는 위험성(risk)의 정량적 분석을 하였다. 본 연구에서는 위험분석 프로그램을 Excel과 Visual Basic으로 프로그래밍 하여, ETA(Event Tree Analysis)법으로 LPG 운반도중 발생할 수 있는 사고의 빈도수를 구한 뒤, 이를 바탕으로 폭발로 인한 피해 범위 및 피해정도를 도출하였다. UVCE의 경우, 가스용기에서 누출되어 증발된 LPG에 대하여 사고현장주변에서 10m 이내에서는 심각한 구조적 손상을 보이며, 150m 이상에서도 유리가 파열되는 심각한 손상확률을 보였다. 그리고 TNT 상당법으로 Probit 결과, 10분간 누출되었을 때 40m 지점에서 유리창의 $75\%$가 깨졌으며, 20m 지점에서 $16\%$, 40m 지점에서는 $10\%$의 구조적 손상을 보였다.

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