• 제목/요약/키워드: Point-of-Interest data

검색결과 363건 처리시간 0.021초

The Comparison of the SIFT Image Descriptor by Contrast Enhancement Algorithms with Various Types of High-resolution Satellite Imagery

  • Choi, Jaw-Wan;Kim, Dae-Sung;Kim, Yong-Min;Han, Dong-Yeob;Kim, Yong-Il
    • 대한원격탐사학회지
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    • 제26권3호
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    • pp.325-333
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    • 2010
  • Image registration involves overlapping images of an identical region and assigning the data into one coordinate system. Image registration has proved important in remote sensing, enabling registered satellite imagery to be used in various applications such as image fusion, change detection and the generation of digital maps. The image descriptor, which extracts matching points from each image, is necessary for automatic registration of remotely sensed data. Using contrast enhancement algorithms such as histogram equalization and image stretching, the normalized data are applied to the image descriptor. Drawing on the different spectral characteristics of high resolution satellite imagery based on sensor type and acquisition date, the applied normalization method can be used to change the results of matching interest point descriptors. In this paper, the matching points by scale invariant feature transformation (SIFT) are extracted using various contrast enhancement algorithms and injection of Gaussian noise. The results of the extracted matching points are compared with the number of correct matching points and matching rates for each point.

Detection of a Point Target Movement with SAR Interferometry

  • Jun, Jung-Hee;Ka, Min-ho
    • 대한원격탐사학회지
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    • 제16권4호
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    • pp.355-365
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    • 2000
  • The interferometric correlation, or coherence, is calculated to measure the variance of the interferometric phase and amplitude within the neighbourhood of any location within the image at a result of SAR (Synthetic Aperture Radar) interferometric process which utilizes the phase information of the images. The coherence contains additional information that is useful for detecting point targets which change their location in an area of interest (AOI). In this research, a RGB colour composite image was generated with a intensity image (master image), a intensity change image as a difference between master image and slave image, and a coherence image generated as a part of SAR interferometric processing. We developed a technique performing detection of a point target movement using SAR interferometry and applied it to suitable tandem pair images of ERS-1 and ERS-2 as test data. The possibility of change detection of a point target in the AOI could be identified with the technique proposed in this research.

3D SCAN DATA 를 이용한 직접유한요소모델 생성 (Direct Finite Element Model Generation using 3 Dimensional Scan Data)

  • 이수용;김성진;정재영;박종식;이성범
    • 한국정밀공학회지
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    • 제23권5호
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    • pp.143-148
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    • 2006
  • It is still very difficult to generate a geometry model and finite element model, which has complex and many free surface, even though 3D CAD solutions are applied. Furthermore, in the medical field, which is a big growth area of recent years, there is no drawing. For these reasons, making a geometry model, which is used in finite element analysis, is very difficult. To resolve these problems and satisfy the requests of the need to create a 3D digital file for an object where none had existed before, new technologies are appeared recently. Among the recent technologies, there is a growing interest in the availability of fast, affordable optical range laser scanning. The development of 3D laser scan technology to obtain 3D point cloud data, made it possible to generate 3D model of complex object. To generate CAD and finite element model using point cloud data from 3D scanning, surface reconstruction applications have widely used. In the early stage, these applications have many difficulties, such as data handling, model creation time and so on. Recently developed point-based surface generation applications partly resolve these difficulties. However there are still many problems. In case of large and complex object scanning, generation of CAD and finite element model has a significant amount of working time and effort. Hence, we concerned developing a good direct finite element model generation method using point cloud's location coordinate value to save working time and obtain accurate finite element model.

일부 고등학생들의 구강관련지식과 구강건강영향지수와의 관계 (Relationship between oral-related knowledge and OHIP (Oral Health Impact Profile) in some high school students)

  • 이선미;김은주;이덕혜
    • 한국치위생학회지
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    • 제10권5호
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    • pp.877-885
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    • 2010
  • Objectives : This study was carried out with the aim of utilizing it as basic data in a plan for oral health promotion by analyzing oral-health awareness in high school students of some districts in our country, and by analyzing physical, mental and social influential factors in oral health, through using OHIP(Oral Health Impact Profile). Methods : It surveyed by carrying out self-administered questionnaire research targeting 536 boy & girl high school students in the 1st and the 2nd grade at 3 high schools in some districts of Gyeonggi Province. Results : 1. As for experience of having not visited dental clinic, a case of having not visited accounted for 32.5%. On the other hand, a case of having visited accounted for 67.5%. As for the appearance of oral health education, only 2.8% responded as saying of having experience. 97.2% responded as saying of having not taken oral health education. 2. As for oral health state perceived by oneself, the response as saying of 'thinking it to be healthy' and that 'there is something wrong' showed the distribution of 34.1% that is the same ratio. As for oral health interest, a case of having a little interest(58.4%) or of being so much interested(12.5%) showed 70.9%. A case of having no special interest(24.8%) or of having no interest at all(4.3%) showed the level of 29.1%.3. As for oral health knowledge, the toothbrushing knowledge was the highest with 4.54 marks out of 6-point perfection. The toothbrush knowledge(4-point perfection) showed low point with 2.05 marks. 4. By gender, a case of men was high in OHIP(Oral Health Impact Profile) for the functional restriction and physical pain. On the other hand, in the remaining sphere, women were indicated to be high in OHIP. The statistically significant difference was indicated in the spheres such as physical pain, psychological discomfort, a drop in psychological ability, a drop in social ability, and social separation. 5. According to oral health state perceived by oneself, a case of thinking it to be healthy was indicated to be high in OHIP for every sphere. A case of thinking it to have gum disease was indicated to be low in OHIP for every sphere. The statistically significant difference was indicated in every sphere except the sphere of functional restriction. 6. As for a factor of having influence upon OHIP according to oral health knowledge, it was indicated that the higher toothbrush knowledge leads to having more influence upon OHIP. Conclusions : It could be known that the oral health knowledge and OHIP are varied as well according to the oral health interest level. Also, the oral health education proper for subjects is not being performed. Even as for frequency of visiting the dentist, a regular visit is failing to be made. In consideration of these points, the diversified and effective educational program is likely considered to be necessarily developed and improved that subjects can have more interest in oral health.

통합적 간호실무 시뮬레이션 기반 훈련이 간호대학생의 스트레스, 학습흥미, 문제해결능력에 미치는 영향 (Effects of Integrated Nursing Practice Simulation-based Training on Stress, Interest in Learning, and Problem-Solving Ability of Nursing Students)

  • 박선남;주민선;황윤영;김선희;이선경
    • 기본간호학회지
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    • 제22권4호
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    • pp.424-432
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    • 2015
  • Purpose: In this study the time point of effects that repeat exposure to simulation-based nursing training has on stress, interest in learning, and problem-solving abilities were identified. Methods: Participants for this study were 75 nursing college students in Seoul. In a preliminary survey data were collected and measured for the general characteristics, stress, interest in learning, and problem-solving abilities of the students. Then, stress was assessed before performance of each of four-rounds of simulation training scenarios. After each simulation round, interest in learning and problem-solving abilities were assessed. Results: With respect to stress, no significant differences were found when comparing the results of the preliminary survey to those of each of the simulation-based training exercises. For the sub-items of interest in learning, interest in nursing knowledge and interest in clinical training significantly increased between the preliminary survey and the $4^{th}$ survey. Interest in lab training increased significantly at the $1^{st}$ survey. Problem solving abilities showed a significant increase from the preliminary at each of the survey points. Conclusion: Increasing the exposure of nursing students to simulation-based training enhances their interest in learning and problem-solving abilities. Therefore it is necessary to have education strategies that includes various simulation experiences for students.

특징점 추출기법을 이용한 접근불능지역의 위성영상 GCP 칩 자동추출 (GCP Chip Automatic Extraction of Satellite Imagery Using Interest Point in North Korea)

  • 이계동;윤종성
    • 한국측량학회지
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    • 제37권4호
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    • pp.211-218
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    • 2019
  • 국토교통부에서는 2019년과 2020년에 차세대 중형위성 1호 및 2호 기를 발사하여, 지구환경 모니터링 및 접근불능지역에 대한 수치지도 제작에 활용하고자 하고 있다. 차세대 중형 위성을 통해 수집된 위성영상정보는 지구환경 모니터링, 지형도 제작, 재난재해 예방을 위한 분석 등 다양한 분야에 활용이 가능하다. 이와 같이 다양한 분야에 활용하기 위해서는 위성영상의 위치정확도 확보가 중요하며, 위성영상의 정밀기하수립을 위해 지표상의 정확한 지상기준점(GCP: Ground Control Point)을 사용하여 정밀 센서 모델을 수립하는 과정이 필요하다. 또한, 다양한 분야의 활용을 위해 정사영상 구축을 위한 단계별 자동화가 필요하며, 이를 위해 위성영상 GCP 칩의 DB (Data Base)가 체계적으로 구축되어야 한다. 따라서 본 연구에서는 위성영상의 정밀기하수립을 위하여 GCP를 자동 추출하는 다양한 기법들을 분석하여 최적의 방법을 도출하고자 한다.

포인트 통합 엔진을 이용한 웹 게임 및 컨텐츠 제공 시스템의 개발 (Development of Web Game and Contents Support System Using the Integrated Point Engine)

  • 강성관;안태홍
    • 한국게임학회 논문지
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    • 제4권4호
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    • pp.25-30
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    • 2004
  • 현재, 웹 기반 기술 및 네트워크 기술의 발달로 인해 실질적이고 다양한 서비스를 원하는 이용자들이 늘어나고 있다. 그중에서 게임을 포함하는 웹 및 모바일 컨텐츠 분야에 대한 관심은 급격히 증가하고 있다. 대부분의 컨텐츠들은 컨텐츠의 이용에 대한 결과로 포인트나 E-Money로 제공하고 있다. 하지만, 포인트 시스템은 포인트를 활용할 수 있는 컨텐츠나 관련 서비스가 부족한 실정이어서 유명무실하게 되었다. 이러한 문제를 해결하기 위하여, 본 논문에서 여러 컨텐츠에서 제공하고 있는 포인트 시스템을 통합하고 이러한 포인트를 이용하여 게임에 접목할 수 있는 시스템을 설계하였다. 설계한 시스템을 시뮬레이션하기 위하여 웹상에서 간단한 게임 및 기타 부가적인 컨텐츠 시스템을 제작하였다. 또한, 모바일 기기로 웹상에서 발생하는 결과를 전송받는 시스템도 구현하였다.

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Extraction of bridge information based on the double-pass double-vehicle technique

  • Zhan, Y.;Au, F.T.K.;Yang, D.
    • Smart Structures and Systems
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    • 제25권6호
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    • pp.679-691
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    • 2020
  • To identify the bridge information from the response of test vehicles passing on it (also known as the indirect approach) has aroused the interest of many researchers thanks to its economy, easy implementation and less disruption to traffic. The surface roughness of bridge remains an obstacle for such method as it contaminates the vehicle response severely and thereby renders many vehicle-response-based bridge identification methods ineffective. This study aims to eliminate such effect with the responses of two different test vehicles. The proposed method can estimate the surface profile of a bridge based on the acceleration data of the vehicles running on the bridge successively, and obtain the normalized contact point response, which proves to be relatively immune to surface roughness. The frequencies and mode shapes of bridge can be further extracted from the normalized contact point acceleration with spectral analysis and Hilbert transform. The effectiveness of the proposed method is verified numerically with a three-span continuous bridge. The influence of measurement noise is also examined.

3차원 측정점으로부터의 객체 자동인식 (Automatic Object Recognition in 3D Measuring Data)

  • 안성준
    • 정보처리학회논문지B
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    • 제16B권1호
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    • pp.47-54
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    • 2009
  • 측정점으로부터의 3차원 객체 자동인식은 컴퓨터비전, 지능형로봇 등의 분야에서 주요 연구주제이다. 본 논문에서 저자는 측정오차가 포함되어 있으며 정렬되지 않은 대용량 3차원 측정점으로부터 객체를 자동적으로 추출하며 그 형상계수를 추정하는 소프트웨어 기술에 대한 소개를 하고자 한다. 해당 소프트웨어는 기능적으로 상호 연결된 형상모델 제시, 측정점 분할, 형상모델 맞춤의 세 부분으로 이루어졌으며 최단거리 최소제곱법(ODF)이 핵심요소이다. ODF는 형상모델과 측정점 사이의 최단거리의 제곱합을 최소화하는 형상모델 계수를 추정한다. 무작위로 선정된 부분 측정점에 대한 임시 형상모델로서 이차 곡면이 ODF에 의하여 구하여지면 우리는 이로부터 3차원 객체를 자동적으로 추출하는 과정인 최종 형상모델 제시, 측정점 분할, 형상모델 맞춤에 필요한 초기값을 제공할 수 있다. 소개된 소프트웨어 기술을 실제 3차원 측정점에 적용함으로써 그의 성능을 확인하고자 한다.

운율어를 이용한 한국어 위치 정보 데이터의 다중 발음 사전 생성 (Multiple Pronunciation Dictionary Generation For Korean Point-of-Interest Data Using Prosodic Words)

  • 김선희;전재훈;나민수;정민화
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2006년도 제18회 한글 및 한국어 정보처리 학술대회
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    • pp.183-188
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    • 2006
  • 본 논문에서 위치 정보 데이터란 텔레메틱스 분야의 응용을 위하여 웹상에서 수집한 Point-of-Interest (POI) 데이터로서 행정구역 및 지명 인명, 상호명과 같은 위치 검색에 사용되는 어휘로 구성된다. 본 논문은 음성 인식 시스템을 구성하는 발음 사전의 개발에 관한 것으로 250k 위치 정보데이터로부터 운율어를 이용하여 불규칙 발음과 발음 변이를 포함하는 가능한 모든 발음을 생성하는 방법을 제안하는 것을 목적으로 한다. 원래 모든 POI 는 한 번씩만 데이터에 포함되어 있으므로, 그 가운데 불규칙 발음을 포함하는 POI를 검출하거나 발음을 생성하기 위해서는 각각의 POI 하나하나를 일일이 검토하는 방법밖에 없는데, 대부분의 POI 가 복합명사구로 이루어졌다는 점에 착안하여 운율어를 이용한 결과, 불규칙 발음 검출과 다중 발음 생성을 효율적으로 수행할 수 있었다. 이러한 연구는 음성처리 영역에서는 위치정보데이터의 음성인식 성능을 향상하는 데 직접적인 기여를 할 수 있고, 무엇보다도 음성학과 음운론 이론을 음성 인식 분야에 접목한 학제적 연구로서 그 의미가 있다고 할 수 있다.

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