• Title/Summary/Keyword: model matching

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A Bayesian Inference Model for Landmarks Detection on Mobile Devices (모바일 디바이스 상에서의 특이성 탐지를 위한 베이지안 추론 모델)

  • Hwang, Keum-Sung;Cho, Sung-Bae;Lea, Jong-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.1
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    • pp.35-45
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    • 2007
  • The log data collected from mobile devices contains diverse meaningful and practical personal information. However, this information is usually ignored because of its limitation of memory capacity, computation power and analysis. We propose a novel method that detects landmarks of meaningful information for users by analyzing the log data in distributed modules to overcome the problems of mobile environment. The proposed method adopts Bayesian probabilistic approach to enhance the inference accuracy under the uncertain environments. The new cooperative modularization technique divides Bayesian network into modules to compute efficiently with limited resources. Experiments with artificial data and real data indicate that the result with artificial data is amount to about 84% precision rate and about 76% recall rate, and that including partial matching with real data is about 89% hitting rate.

Generation of Topographic Map Using GeoEye-1 Satellite Imagery for Construction of the Jangbogo Antarctic Station (GeoEye-1 위성영상을 이용한 남극의 장보고기지 건설을 위한 지형도 제작)

  • Kim, Eui-Myoung;Hong, Chang-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.4
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    • pp.101-108
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    • 2011
  • Construction of the Jangbogo antarctic station was planned, and it requires detailed information on topography of the area around the station. The purpose of this research is to generate the topographic map to construct the Jangbogo antarctic station using the satellite image. To do this, surveying and pre-test of equipment were conducted. In addition, for sensor modeling of the GeoEye-1 satellite image, RPC-bias correction was done, and it showed that at least two control points are required. In generating the map, a 1/2,500 scale was deemed suitable in consideration of resolution of the image and the fact that supplementary topographic surveying would be impossible. In order to provide detailed information on the topography around the Jangbogo station, the digital elevation model based on image matching was created, and compared with GPS-RTK data, accuracy of vertical location about 0.6m was exhibited.

On-site Demonstration of Topographic Surveying Techniques at Open-pit Mines using a Fixed-wing Unmanned Aerial Vehicle (Drone) (고정익 무인항공기(드론)를 이용한 노천광산 지형측량 기술의 현장실증)

  • Lee, Sungjae;Choi, Yosoon
    • Tunnel and Underground Space
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    • v.25 no.6
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    • pp.527-533
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    • 2015
  • This study performed an on-site demonstration of the topographic surveying technique at a large-scale open-pit limestone mine in Korea using a fixed-wing unmanned aerial vehicle (UAV, Drone, SenseFly eBee). 288 sheets of aerial photos were taken by an automatic flight for 30 minutes under conditions of 300 m altitude and 12 m/s speed. Except for 37 aerial photos in which no keypoint was detected, 251 aerial photos were utilized for data processing including correction and matching, then an orthomosaic image and digital surface model with 7 cm grid spacing could be generated. A comparison of the X, Y, Z-coordinates of 4 ground control points measured by differential global positioning system and those determined by fixed-wing UAV photogrammetry revealed that the root mean squared errors were around 15 cm. Because the fixed-wing UAV has relatively longer flight time and larger coverage area than rotary-wing UAVs, it can be effectively utilized in large-scale open-pit mines as a topographic surveying tool.

A Moving Synchronization Technique for Virtual Target Overlay (가상표적 전시를 위한 이동 동기화 기법)

  • Kim Gye-Young;Jang Seok-Woo
    • Journal of Internet Computing and Services
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    • v.7 no.4
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    • pp.45-55
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    • 2006
  • This paper proposes a virtual target overlay technique for a realistic training simulation which projects a virtual target on ground-based CCD images according to an appointed scenario. This method creates a realistic 3D model for instructors by using high resolution GeoTIFF (Geographic Tag Image File Format) satellite images and DTED(Digital Terrain Elevation Data), and it extracts road areas from the given CCD images for both instructors and trainees, Since there is much difference in observation position, resolution, and scale between satellite Images and ground-based sensor images, feature-based matching faces difficulty, Hence, we propose a moving synchronization technique that projects the targets on sensor images according to the moving paths marked on 3D satellite images. Experimental results show the effectiveness of the proposed algorithm with satellite and sensor images of Daejoen.

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Omnidirectional Camera Motion Estimation Using Projected Contours (사영 컨투어를 이용한 전방향 카메라의 움직임 추정 방법)

  • Hwang, Yong-Ho;Lee, Jae-Man;Hong, Hyun-Ki
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.5
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    • pp.35-44
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    • 2007
  • Since the omnidirectional camera system with a very large field of view could take many information about environment scene from few images, various researches for calibration and 3D reconstruction using omnidirectional image have been presented actively. Most of line segments of man-made objects we projected to the contours by using the omnidirectional camera model. Therefore, the corresponding contours among images sequences would be useful for computing the camera transformations including rotation and translation. This paper presents a novel two step minimization method to estimate the extrinsic parameters of the camera from the corresponding contours. In the first step, coarse camera parameters are estimated by minimizing an angular error function between epipolar planes and back-projected vectors from each corresponding point. Then we can compute the final parameters minimizing a distance error of the projected contours and the actual contours. Simulation results on the synthetic and real images demonstrated that our algorithm can achieve precise contour matching and camera motion estimation.

Evaluation for User Experience about Social Dating Mobile Application Service in Korea -Focusing on I-um and Noondate- (국내 모바일 애플리케이션 소셜 데이팅 서비스에 대한 사용자 경험 연구 -이음과 정오의 데이트를 중심으로-)

  • An, Hyo-Jin;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.15 no.3
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    • pp.335-341
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    • 2017
  • The study evaluates user experiences of I-um and Noondate, typical Social Dating Mobile Application Service in Korea, to suggest guidelines that are more user-centered and useful. I did some literature research followed with evaluation of theoretical backgrounds, present conditions. Also, I recasted to the six principles of "Honey comb model" by Peter Morville to conduct an in-depth interview. The result indicate that I-um needs to improve accuracy of matching system by checking user's interest and detailed profile. Noondate needs to develop the cards sorting systems so that user can supervise themselves. I expect this study will become a good resource for upgrading user experiences of Social Dating Service. I also believe that this study can guide other studies about user experience in other fields.

Joblessness among the Highly Educated Youth in Korea: The Causes and Policy Implications (고학력 청년층의 미취업 원인과 정책적 대응방안: 일자리 탐색이론을 중심으로)

  • Kim, Yong-seong
    • KDI Journal of Economic Policy
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    • v.34 no.3
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    • pp.67-94
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    • 2012
  • Despite continuous efforts of the government, youth joblessness in Korea has remained as a top policy priority. At this end, the study focuses on the causes of youth labor market problems and tries to seek for policy directions. While the previous research attempted to explain youth joblessness based on the labor demand and supply, this study follows a job search model which emphasizes a job matching process. A theoretical model and empirical results predict that a mean duration of unemployment could decrease if an implicit income of unemployment declines or a rate of job offer rises. From policy point of view, it is advisable to raise incentives for labor demand and to strengthen employment services because a policy to lower an implicit income of unemployment may not secure policy target efficiency.

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Similarity-based Dynamic Clustering Using Radar Reflectivity Data (퍼지모델을 이용한 유사성 기반의 동적 클러스터링)

  • Lee, Han-Soo;Kim, Su-Dae;Kim, Yong-Hyun;Kim, Sung-Shin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.219-222
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    • 2011
  • There are number of methods that track the movement of an object or the change of state, such as Kalman filter, particle filter, dynamic clustering, and so on. Amongst these method, dynamic clustering method is an useful way to track cluster across multiple data frames and analyze their trend. In this paper we suggest the similarity-based dynamic clustering method, and verifies it's performance by simulation. Proposed dynamic clustering method is how to determine the same clusters for each continuative frame. The same clusters have similar characteristics across adjacent frames. The change pattern of cluster's characteristics in each time frame is throughly studied. Clusters in each time frames are matched against each others to see their similarity. Mamdani fuzzy model is used to determine similarity based matching algorithm. The proposed algorithm is applied to radar reflectivity data over time domain. We were able to observe time dependent characteristic of the clusters.

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A 2D FLIR Image-based 3D Target Recognition using Degree of Reliability of Contour (윤곽선의 신뢰도를 고려한 2차원 적외선 영상 기반의 3차원 목표물 인식 기법)

  • 이훈철;이청우;배성준;이광연;김성대
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12B
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    • pp.2359-2368
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    • 1999
  • In this paper we propose a 2D FLIR image-based 3D target recognition system which performs group-to-ground vehicle recognition using the target contour and its degree of reliability extracted from FLIR image. First we extract target from background in FLIR image. Then we define contour points of the extracted target which have high edge gradient magnitude and brightness value as reliable contour point and make reliable contour by grouping all reliable contour points. After that we extract corresponding reliable contours from model contour image and perform comparison between scene and model features which are calculated by DST(discrete sine transform) of reliable contours. Experiment shows that the proposed algorithm work well and even in case of imperfect target extraction it showed better performance then conventional 2D contour-based matching algorithms.

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Evaluation of Ground Motion Modification Methodologies for Seismic Structural Damage (지진 구조 손상도 예측을 위한 지반 운동 수정법 평가)

  • Heo, YeongAe
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.17 no.4
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    • pp.112-118
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    • 2013
  • The selection of appropriate ground motions and reasonable modification are becoming increasingly critical in reliable prediction on seismic performance of structures. A widely used amplitude scaling approach is not sufficient for robust structural evaluation considering a site specific seismic hazard because only one spectral value is matched to the design spectrum typically at the structural fundamental period. Hence alternative approaches for ground motion selection and modifications have been suggested. However, there is no means to evaluate such methodologies yet. In this study, it is focused to describe the main questions resided in the amplitude scaling approach and to propose a regression model for structural damage as point of comparison. Spectrum compatible approach whose resulting spectrum matches the design spectrum at the entire range of the structural period is considered as alternative to be compared to the amplitude scaling approach. The design spectrum is generated according to ASCE7-05.