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A Semantic Video Object Tracking Algorithm Using Contour Refinement (윤곽선 재조정을 통한 의미 있는 객체 추적 알고리즘)

  • Lim, Jung-Eun;Yi, Jae-Youn;Ra, Jong-Beom
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.6
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    • pp.1-8
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    • 2000
  • This paper describes an algorithm for semantic video object tracking using semi automatic method. In the semi automatic method, a user specifies an object of interest at the first frame and then the specified object is to be tracked in the remaining frames. The proposed algorithm consists of three steps: object boundary projection, uncertain area extraction, and boundary refinement. The object boundary is projected from the previous frame to the current frame using the motion estimation. And uncertain areas are extracted via two modules: Me error-test and color similarity test. Then, from extracted uncertain areas, the exact object boundary is obtained by boundary refinement. The simulation results show that the proposed video object extraction method provides efficient tracking results for various video sequences compared to the previous methods.

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Effects of Turbulence Intensities on Wake Models of Horizontal Wind Turbines (난류 강도가 수평축 풍력발전기 후류 모델에 미치는 영향)

  • Lee, Seung-Ho;Jeong, Houi-Gab;Kwon, Soon-Duck
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.4
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    • pp.273-279
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    • 2014
  • In this paper, wind tunnel tests of a scaled wind turbine have been performed to investigate the effects of turbulent intensity of oncoming flow on turbine wake field. The scaled turbine model was carefully designed to satisfy the similarity conditions. The wind velocities and turbulent intensities were measured using hotwire anemometer in order to compare with existing wake model. It was found from the tests that the existing wake models well fit with test results at turbulent flow rather than at uniform flow. Finally modified wake model has been proposed based on the measured data.

A Study on Updating of Analytic Model of Dynamics for Aircraft Structures Using Optimization Technique (최적화 기법을 이용한 비행체 구조물 동특성 해석 모델의 최신화 연구)

  • Lee, Ki-Du;Lee, Young-Shin;Kim, Dong-Soo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.2
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    • pp.131-138
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    • 2009
  • Analytical modal verification is considered as the process to provide an acceptable description of the subject structure's behaviour. In general, results of original analytical model are different with actual structure results to uncertainty like non-linearity of material, boundary and modified shape, etc. In this paper, the dynamic model of glider's wing is correlated with static deformation and vibration test results by goal-attainment method, multi-objects optimization technique. The structural responses are predicted by using finite element method and optimization is carried out by using the SQP(sequential quadratic programming) method which is widely used in the constrained nonlinear optimization problem. The MAC(Modal Assurance Criterion) is used to modify the mode shapes and quantify the similarity.

A Divide-Conquer U-Net Based High-Quality Ultrasound Image Reconstruction Using Paired Dataset (짝지어진 데이터셋을 이용한 분할-정복 U-net 기반 고화질 초음파 영상 복원)

  • Minha Yoo;Chi Young Ahn
    • Journal of Biomedical Engineering Research
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    • v.45 no.3
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    • pp.118-127
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    • 2024
  • Commonly deep learning methods for enhancing the quality of medical images use unpaired dataset due to the impracticality of acquiring paired dataset through commercial imaging system. In this paper, we propose a supervised learning method to enhance the quality of ultrasound images. The U-net model is designed by incorporating a divide-and-conquer approach that divides and processes an image into four parts to overcome data shortage and shorten the learning time. The proposed model is trained using paired dataset consisting of 828 pairs of low-quality and high-quality images with a resolution of 512x512 pixels obtained by varying the number of channels for the same subject. Out of a total of 828 pairs of images, 684 pairs are used as the training dataset, while the remaining 144 pairs served as the test dataset. In the test results, the average Mean Squared Error (MSE) was reduced from 87.6884 in the low-quality images to 45.5108 in the restored images. Additionally, the average Peak Signal-to-Noise Ratio (PSNR) was improved from 28.7550 to 31.8063, and the average Structural Similarity Index (SSIM) was increased from 0.4755 to 0.8511, demonstrating significant enhancements in image quality.

Vibration Characteristics of the PWR Fuel Rod Supported by New Doublet Spacer Grids (새이중판 지지격자로 지지된 경수로용 연료봉의 진동특성)

  • 최명환;강흥석;윤경호;김형규;송기남
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.905-910
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    • 2003
  • One of the methods that are used to compare and verify the supporting performance of the spacer grids developed is the vibration characteristic test. A modal test in this paper is performed for a dummy rod 3,847mm tall supported by eight New Doublet (ND) spacer grids. For the vibration test in air, nine accelerometers, one displacement sensor and one shaker are used for acquiring signals, and an I-DEAS TDAS software is employed for analyzing the signals. Also, a finite element (FE) analysis is performed by a beam-spring simple model and a contact model simulating the contact phenomenon between the rod and the fm spring. And then, the result of the FE analysis is compared with that of the modal test. The natural frequencies as well as the mode shapes calculated by the proposed contact models have a greater similarity to the test results than those by the previous beam-spring model. In addition, for grasping whether or not the modal parameters are influenced by where shaking spot is, two kinds of tests are performed; one is for the shaker attached at the fourth span (center), the other is for the shaker at the fifth span that is one span nearer to the bottom of the rod. The latter shows higher MAC than the former. Finally, the vibration displacements are measured in the range of 0.112-0.214mm for the excitation force of 0.25-0.75 N.

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Analysis of Uniqueness and Robustness Properties of Ordinal Signature for Video Matching (비디오 정합을 위한 오디널 특징의 유일성 및 강건성 분석)

  • Jeong Kwang-Min;Kim Jeong-Yeop;Hyun Ki-Ho;Ha Yeong-Ho
    • Journal of Korea Multimedia Society
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    • v.9 no.5
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    • pp.576-584
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    • 2006
  • Content-based video matching is measuring a similarity of video signature compared to the original clip and copies of media. Specially, it is very important to match the exact frame position, but it depends on frame rate, noise condition and compression format of video. Ordinal signature shows good performance than other video signatures under normal condition but the previous didn't try to find the uniqueness and robustness. Hua et al. performed a uniqueness test under compressed in different formats or frame size. However, they used other compression format image instead of noise in robustness test. This paper proposes robustness test method using several noise models and analyzes the performance of robustness and uniqueness.

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A Study on Development of Model Materials Showing Similar Flow Characteristics of Hot Mild Steel at Various Temperatures (고온 연강 유동특성을 상사하는 모델재료 개발에 관한 연구)

  • 이종헌;김영호;배원병;이원화
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.5
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    • pp.1161-1171
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    • 1993
  • Model materials are developed to achieve similarity of flow patterns for mild steels in forming processes at high temperatures. The model materials consist of pure plasticine and one or two additives such as resin and lanolin. To verify the similarity of flow patterns between physical modeling and compression of mild steels at high temperatures, ring and compression tests have been carried out with the developed-model materials at various strain rates, temperatures and lubricants. The test results are in good agreement with the flow patterns obtained from upsetting of a mild steel at high temperatures.

Qualification Process of T700/701K Engine for KUH (한국형 기동헬기 엔진 (T700/701K) 인증 과정)

  • Jung, Yong-Wun;Kim, Jae-Hwan;Ahn, Iee-Ki
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.11a
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    • pp.344-347
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    • 2011
  • This paper presents qualification process of the T700/701K turbo-shaft engine for Korean Utility Helicopter(KUH). The T700/701K is the rear-drive variant of the GE's T700-701C/D engine which was qualified for military applications in the world. The main scope of the development is the modification from a front-drive engine to a rear-drive one, the performance enhancement of the power turbine and the incorporation of two channel FADEC(Full Authority Digital Engine Control) system for more reliable operation. Therefore, T700/701K engine must be qualified by Korean government in order to perform a flight in the country. Reflecting the influence of developing scope, the main requirements including performance and control are verified by test and analysis, while the requirement for module or component that is same to that of T700-701C/D are verified by similarity.

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Adaptive Skin Segmentation based on Region Histogram of Color Quantization Map (칼라 양자화 맵의 영역 히스토그램에 기반한 조명 적응적 피부색 영역 분할)

  • Cho, Seong-Sik;Bae, Jung-Tae;Lee, Seong-Whan
    • Journal of KIISE:Software and Applications
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    • v.36 no.1
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    • pp.54-61
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    • 2009
  • This paper proposes a skin segmentation method based on region histograms of the color quantization map. First, we make a quantization map of the image using the JSEG algorithm and detect the skin pixel. For the skin region detection, the similar neighboring regions are set by its similarity of the size and location between the previous frame and the present frame from the each region of the color quantization map. Then we compare the similarity of histogram between the color distributions of each quantized region and the skin color model using the histogram distance. We select the skin region by the threshold value calculated automatically. The skin model is updated by the skin color information from the selected result. The proposed algorithm was compared with previous algorithms on the ECHO database and the continuous images captured under time varying illumination for adaptation test. Our approach shows better performance than previous approaches on skin color segmentation and adaptation to varying illumination.

Efficient Searching Technique for Nearest Neighbor Object in High-Dimensional Data (고차원 데이터의 효율적인 최근접 객체 검색 기법)

  • Kim, Jin-Ho;Park, Young-Bae
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.269-280
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    • 2004
  • The Pyramid-Technique is based on mapping n-dimensional space data into one-dimensional data and expresses it as a B+-tree. By solving the problem of search time complexity the pyramid technique also prevents the effect of "phenomenon of dimensional curse" which is caused by treatment of hypercube range query in n-dimensional data space. The SPY-TEC applies the space division strategy in pyramid method and uses spherical range query suitable for similarity search so that Improves the search performance. However, nearest neighbor query is more efficient than range query because it is difficult to specify range in similarity search. Previously proposed index methods perform well only in the specific distribution of data. In this paper, we propose an efficient searching technique for nearest neighbor object using PdR-Tree suggested to improve the search performance for high dimensional data such as multimedia data. Test results, which uses simulation data with various distribution as well as real data, demonstrate that PdR-Tree surpasses both the Pyramid-Technique and SPY-TEC in views of search performance.rformance.