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Prestress and excitation force identification in a prestressed concrete box-girder bridge

  • Xiang, Ziru;Chan, Tommy H.T.;Thambiratnam, David P.;Nguyen, Andy
    • Computers and Concrete
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    • v.20 no.5
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    • pp.617-625
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    • 2017
  • Prestress force identification (PFI) is crucial to maintain the safety of prestressed concrete bridges. A synergic identification method has been proposed recently by the authors that can determine the prestress force (PF) and the excitation force simultaneously in prestressed concrete beams with good accuracy. In this paper, the ability of this method in the application with prestressed concrete box-girder bridges is demonstrated. A reasonable assumption is made to capture the similarity of the dynamic behavior of the prestressed concrete box-girder bridge and a beam under a certain loading scenario, and the feasibility of this method for application in a prestressed box-girder bridge is affirmed. A comprehensive laboratory test program is conducted, and the effects of PF, excitation, measuring time and uncertainties are studied. Results show that the proposed method can predict the PF and the excitation force in a prestressed concrete box-girder accurately and has a great robustness against uncertainties.

MEASUREMENT OF THREE-DIMENSIONAL TRAJECTORIES OF BUBBLES AROUND A SWIMMER USING STEREO HIGH-SPEED CAMERA

  • Nomura, Tsuyoshi;Ikeda, Sei;Imura, Masataka;Manabe, Yoshitsugu;Chihara, Kunihiro
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.768-772
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    • 2009
  • This paper proposes a method for measurement three-dimensional trajectories of bubbles generated around a swimmer's arms from stereo high-speed camera videos. This method is based on two techniques: two-dimensional trajectory estimation in single-camera images and trajectory pair matching in stereo-camera images. The two-dimensional trajectory is estimated by block matching using similarity of bubble shape and probability of bubble displacement. The trajectory matching is achieved by a consistensy test using epipolar constraint in multiple frames. The experimental results in two-dimensional trajectory estimation showed the estimation accuracy of 47% solely by the general optical flow estimation, whereas 71% taking the bubble displacement into consideration. This concludes bubble displacement is an efficient aspect in this estimation. In three-dimensional trajectory estimation, bubbles were visually captured moving along the flow generated by an arm; which means an efficient material for swimmers to swim faster.

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Detecting Copy-move Forgeries in Images Based on DCT and Main Transfer Vectors

  • Zhang, Zhi;Wang, Dongyan;Wang, Chengyou;Zhou, Xiao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.9
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    • pp.4567-4587
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    • 2017
  • With the growth of the Internet and the extensive applications of image editing software, it has become easier to manipulate digital images without leaving obvious traces. Copy-move is one of the most common techniques for image forgery. Image blind forensics is an effective technique for detecting tampered images. This paper proposes an improved copy-move forgery detection method based on the discrete cosine transform (DCT). The quantized DCT coefficients, which are feature representations of image blocks, are truncated using a truncation factor to reduce the feature dimensions. A method for judging whether two image blocks are similar is proposed to improve the accuracy of similarity judgments. The main transfer vectors whose frequencies exceed a threshold are found to locate the copied and pasted regions in forged images. Several experiments are conducted to test the practicability of the proposed algorithm using images from copy-move databases and to evaluate its robustness against post-processing methods such as additive white Gaussian noise (AWGN), Gaussian blurring, and JPEG compression. The results of experiments show that the proposed scheme effectively detects both copied region and pasted region of forged images and that it is robust to the post-processing methods mentioned above.

Comparison of Theoretical Analysis with Test Results of Floating Ring Seals for the LRE Turbo Pump (액체 추진 로켓 터보 펌프용 플로팅 링 실에 대한 해석 및 실험 결과의 비교 연구)

  • Lee, Yong-Bok;An, Kyoung-Min;Kim, Chang-Ho;Ha, Tae-Woong
    • The KSFM Journal of Fluid Machinery
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    • v.7 no.6 s.27
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    • pp.21-27
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    • 2004
  • The floating ring seal has an advantage to find the optimum position by itself, which is used in the turbo pump of a liquid rocket. The main purpose of seals is to reduce the leakage. Especially, seals of the turbo pump for the liquid rocket engine are operated under the serious conditions such as high pressure above 10 MPa, very low temperature about $-180^{\circ}C$ and high rotating speed above 25,000 rpm. So, rotordynamic stability is very important for the system stability. In this paper, the leakage and dynamic characteristics of floating ring seals were investigated by a experimental and analytical method. The theoretical results of the leakage performance for the floating ring seal showed much higher than that of experimental results. On the other hand, the results of stiffness and damping characteristics showed similarity each other. As the shaft speed was increasing, the whirl frequency ratio was increased in the experimental results.

Real-time Moving Object Tracking from a Moving Camera (이동 카메라 영상에서 이동물체의 실시간 추적)

  • Chun, Quan;Lee, Ju-Shin
    • The KIPS Transactions:PartB
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    • v.9B no.4
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    • pp.465-470
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    • 2002
  • This paper presents a new model based method for tracking moving object from a moving camera. In the proposed method, binary model is derived from detected object regions and Hausdorff distance between the model and edge image is used as its similarity measure to overcome the target's shape changes. Also, a novel search algorithm and some optimization methods are proposed to enable realtime processing. The experimental results on our test sequences demonstrate the high efficiency and accuracy of our approach.

Printed Hangul Recognition with Adaptive Hierarchical Structures Depending on 6-Types (6-유형 별로 적응적 계층 구조를 갖는 인쇄 한글 인식)

  • Ham, Dae-Sung;Lee, Duk-Ryong;Choi, Kyung-Ung;Oh, Il-Seok
    • The Journal of the Korea Contents Association
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    • v.10 no.1
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    • pp.10-18
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    • 2010
  • Due to a large number of classes in Hangul character recognition, it is usual to use the six-type preclassification stage. After the preclassification, the first consonent, vowel, and last consonent can be classified separately. Though each of three components has a few of classes, classification errors occurs often due to shape similarity such as 'ㅔ' and 'ㅖ'. So this paper proposes a hierarchical recognition method which adopts multi-stage tree structures for each of 6-types. In addition, to reduce the interference among three components, the method uses the recognition results of first consonents and vowel as features of vowel classifier. The recognition accuracy for the test set of PHD08 database was 98.96%.

The Effect of Trade Integration on Business Cycle Synchronization in East Asia

  • NGUYEN, Vinh Thi Hong;HOANG, Thuy Thi Thanh;NGUYEN, Sang Minh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.225-231
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    • 2020
  • The paper aims to investigate the impact of trade integration on business cycle synchronization for the East Asian countries during 2005- 2017 based on the endogeneity hypothesis of Optimum Currency Area criteria. We test the determinants of business cycles by calculating bilateral trade, financial integration, and business cycle synchronization. Applying the system Generalized Method of Moments for dynamic panel data models, the results show that business cycle synchronization is highly associated with trade and financial integration. These findings confirm the endogeneity hypothesis that more trade integration will mitigate asymmetric shocks, and have a positive impact on the business cycle synchronization. The increased trade intensity and financial linkage lead to more correlated business cycles in East Asia. Apart from trade and financial integration, the trade structure differential, monetary policy similarity also influence the business cycle comovement. The significantly negative impact of trade structure differential on business cycle synchronization suggests that countries with less similar structures are more likely to undergo asymmetric shocks. The results also indicate that monetary policy matters for output comovement. This study recommends that the East Asian countries should focus on bilateral trade as well as financial integration with each other to reap benefits from the integration process.

The inertial coefficient for fluctuating flow through a dominant opening in a building

  • Xu, Haiwei;Yu, Shice;Lou, Wenjuan
    • Wind and Structures
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    • v.18 no.1
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    • pp.57-67
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    • 2014
  • For a building with a dominant windward wall opening, the wind-induced internal pressure response can be described by a second-order non-linear differential equation. However, there are two ill-defined parameters in the governing equation: the inertial coefficient $C_I$ and the loss coefficient $C_L$. Lack of knowledge of these two parameters restricts the practical use of the governing equation. This study was primarily focused on finding an accurate reference value for $C_I$, and the paper presents a systematic investigation of the factors influencing the inertial coefficient for a wind-tunnel model building including: opening configuration and location, wind speed and direction, approaching flow turbulence, the model material, and the installation method. A numerical model was used to simulate the volume deformation under internal pressure, and to predict the bulk modulus of an experimental model. In considering the structural flexibility, an alternative approach was proposed to ensure accurate internal volume distortions, so that similarity of internal pressure responses between model-scale and full-scale building was maintained. The research showed 0.8 to be a reasonable standard value for the inertial coefficient.

Cody Recommendation System Using Deep Learning and User Preferences

  • Kwak, Naejoung;Kim, Doyun;kim, Minho;kim, Jongseo;Myung, Sangha;Yoon, Youngbin;Choi, Jihye
    • International Journal of Advanced Culture Technology
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    • v.7 no.4
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    • pp.321-326
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    • 2019
  • As AI technology is recently introduced into various fields, it is being applied to the fashion field. This paper proposes a system for recommending cody clothes suitable for a user's selected clothes. The proposed system consists of user app, cody recommendation module, and server interworking of each module and managing database data. Cody recommendation system classifies clothing images into 80 categories composed of feature combinations, selects multiple representative reference images for each category, and selects 3 full body cordy images for each representative reference image. Cody images of the representative reference image were determined by analyzing the user's preference using Google survey app. The proposed algorithm classifies categories the clothing image selected by the user into a category, recognizes the most similar image among the classification category reference images, and transmits the linked cody images to the user's app. The proposed system uses the ResNet-50 model to categorize the input image and measures similarity using ORB and HOG features to select a reference image in the category. We test the proposed algorithm in the Android app, and the result shows that the recommended system runs well.

Blunder Detection by Matching Strength Measurement in Digital Photogrammetry (수치 사진측량에 있어서 정합 강도 측정에 의한 불량 정합점 제거에 관한 연구)

  • 정명훈;윤홍식;위광재
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.18 no.2
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    • pp.191-198
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    • 2000
  • Digital photogrammetry in the implementation of GIS database plays an important role, with the demand for rapid data acquisition and quick updating. Here image matching represents a fundamental task of digital photogrammetry. No image matching algorithm provides a solution as complete as the one given by human vision which is reinforced by knowledge and intelligence capabilities. In this paper, if object space is smooth, we check the global similarity between a possible corresponding point pair and its neighbouring possible corresponding point pairs, detecting blunders; We define matching strength measurement. Besides this, we compute three-dimension coordinates of matching points by bundle adjustment method. Results of the test reveal that the proposed method can eliminate the incorrectly matched pairs efficiently and the accuracy of three-dimension coordinates of matching points come within an allowable error.

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