• Title/Summary/Keyword: order-preserving

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A Field Application of Non-shrinkage Concrete Pavement using CSA Expansive Additive (CSA계 팽창재를 사용한 무수축콘크리트의 도로포장 현장적용 사례연구)

  • 이재한;송경환;최일규;김창률;민경소
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.10a
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    • pp.183-188
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    • 1997
  • From a viewpoint of construction cost and preserving management of pavement, a policy of domestic pavement was gradually spreaded concrete pavement rather than asphalt. But the use of concrete with ordinary portland cement has shortages, such as dry-shrinkage, low flexural strength, etc. In order to overcome these problems, the concrete pavement using CSA expansive additive (Non-Shrinkage Cement) was studied and carried out the fie이 application. As the results, we find out Non-Shrinkage Cement that was distinguished in short-term construction by increasing flexural strength, shrinkage compensating and low-heat evaluation compared with OPC concrete.

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Robust and Efficient 3D Model of an Electromagnetic Induction (EMI) Sensor

  • Antoun, Chafic Abu;Perriard, Yves
    • Journal of international Conference on Electrical Machines and Systems
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    • v.3 no.3
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    • pp.325-330
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    • 2014
  • Eddy current induction is used in a wide range of electronic devices, for example in detection sensors. Due to the advances in computer hardware and software, the need for 3D computation and system comprehension is a requirement to develop and optimize such devices nowadays. Pure theoretical models are mostly limited to special cases. On the other hand, the classical use of commercial Finite Element (FE) electromagnetic 3D models is not computationally efficient and lacks modeling flexibility or robustness. The proposed approach focuses on: (1) implementing theoretical formulations in 3D (FE) model of a detection device as well as (2) an automatic Volumetric Estimation Method (VEM) developed to selectively model the target finite elements. Due to these two approaches, this model is suitable for parametric studies and optimization of the number, location, shape, and size of PCB receivers in order to get the desired target discrimination information preserving high accuracy with tenfold reduction in computation time compared to commercial FE software.

Adaptive Image restoration of Sigma Filter Using Local Statistics (국부통계를 이용한 시그마 필터의 적응 영상복원)

  • 정성환;김남철
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.3
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    • pp.322-326
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    • 1988
  • The sigma filter is a nonlinear filter of modifying average filter to develop edge-preserving characteristics. However, this filter is yet weak to the impulsive noise such as BSC noise. Therefore it has not been used so highly in the image restoration area. In this paper, We propose an adaptive image restoration algorithm using the local statistic and the characteristic of human eyes in order to compensate its drawback and to improve its performance. The performance of the proposed algorithm and the vonventional ones are compared for images degraded by BSC noise. The proposed algorithm shows better performance than the median filter and yields 5 dB performance improvement over the convertional K-sigma filter on SNR gain.

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Spatially Adaptive High-Resolution Denoising Based on Nonstationary Correlation Assumption (비정적 상관관계를 고려한 공간적응적 잡음제거 알고리즘)

  • 김창원;박성철;강문기
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1711-1714
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    • 2003
  • The noise in an image degrades image quality and deteriorates coding efficiency of compression. Recently, various edge-preserving noise filtering methods based on the nonstationary image model have been proposed to overcome this problem. In most conventional nonstationary image models, however, pixels are assumed to be uncorrelated to each other In order not to increase the computational burden too much. As a result, some detailed information is lost in the filtered results. In this paper, we propose a computationally feasible adaptive noise smoothing algorithm which considers the nonstationary correlation characteristics of images. We assume that an image has a nonstationary mean and can be segmented into subimages which have individually different stationary correlations. Taking advantage of the special structure of the covariance matrix that results from the proposed image model, we derive a computationally efficient FFT-based adaptive linear minimum mean square error filter. The justification for the proposed image model is presented and the effectiveness of the proposed algorithm is demonstrated experimentally.

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A Fast Algorithm for the k-Keyword Ordered Proximity Problem (순서를 고려하는 k-키워드 근접도 문제를 위한 빠른 알고리즘)

  • Kim, Jin-Wook
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.3
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    • pp.281-288
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    • 2010
  • In the web search engines, the proximity is used to compute the relevance of a document to the given query. There exist various research results about the proximity problems and the ordered proximity problems. In this paper, we present O(n) time algorithms for the k-keyword ordered proximity problems where n is the total number of occurrences of the k keywords in a document. Experimental results show that the proposed algorithms are about 1.2 times and over 3 times faster than the previous results when k=2 and k=5, respectively.

Efficient Anonymous Broadcast Encryption with Adaptive Security

  • Zhou, Fu-Cai;Lin, Mu-Qing;Zhou, Yang;Li, Yu-Xi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.11
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    • pp.4680-4700
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    • 2015
  • Broadcast encryption is an efficient way to distribute confidential information to a set of receivers using broadcast channel. It allows the broadcaster to dynamically choose the receiver set during each encryption. However, most broadcast encryption schemes in the literature haven't taken into consideration the receiver's privacy protection, and the scanty privacy preserving solutions are often less efficient, which are not suitable for practical scenarios. In this paper, we propose an efficient dynamic anonymous broadcast encryption scheme that has the shortest ciphertext length. The scheme is constructed over the composite order bilinear groups, and adopts the Lagrange interpolation polynomial to hide the receivers' identities, which yields efficient decryption algorithm. Security proofs show that, the proposed scheme is both secure and anonymous under the threat of adaptive adversaries in standard model.

Dynamic Simulation of Underwater Vehicle-Manipulator Systems Using Principle of Dynamical Balance (동적 발란스의 원리를 이용한 수중 잠수정-매니퓰레이터 시스템의 동역학 시뮬레이션)

  • Han, Jong-Hui;Chung, Wan-Kyun
    • The Journal of Korea Robotics Society
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    • v.2 no.2
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    • pp.152-160
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    • 2007
  • In this paper, two schemes are introduced for dynamic simulation of underwater robotic systems. One is principle of dynamical balance, which is an easy and powerful tool for formulating dynamic equations of composite systems such as underwater vehicle-manipulator system. In the dynamic modeling, this principle gives us the closed-form of dynamic equations on matrix Lie group. The other is geometric integration algorithm, called 4-th order explicit Munthe-Kaas method. By this method, the derived differential equations can be integrated preserving geometric structure. Adopting these two schemes, dynamic simulation of underwater vehicle- manipulator system can be conducted more easily and more reliably.

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A Mechanistic Critical Heat Flux Model for High-Subcooling, High-Mass-Flux, and Small-Tube-Diameter Conditions

  • Kwon, Young-Min;Chang, Soon-Heung
    • Nuclear Engineering and Technology
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    • v.32 no.1
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    • pp.17-33
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    • 2000
  • A mechanistic model based on wall-attached bubble coalescence, previously developed by the authors, was extended to predict a vow high critical heat flux (CHF)in highly subcooled flow boiling, especially for high mass flux and small tube diameter conditions. In order to take into account the enhanced condensation due to high subcooling and high mass velocity in small diameter tubes, a mechanistic approach was adopted to evaluate the non-equilibrium flow quality and void fraction in the subcooled water flow boiling, with preserving the structure of the previous CHF model. Comparison of the model predictions against highly subcooled water CHF data showed relatively good agreement over a wide range of parameters. The significance of the proposed CHF model lies in its generality in applying over the entire subcooled flow boiling regime including the operating conditions of fission and fusion reactors.

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- Development of Digital Fluoroscopic Image Recording System for Customer Safety - (고객 안전을 위한 디지털 방사선장치(DRF)의 투시영상기록장치 개발)

  • Rhim Jae Dong;Kang Kyong Sik
    • Journal of the Korea Safety Management & Science
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    • v.6 no.3
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    • pp.303-309
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    • 2004
  • Many system devices for fluoroscopic and general X-ray studies in diagnostic radiographic system have been being changed from analog mode to digital mode. In addition, among diagnostic imaging and radiologic examinations, fluoroscopic studies that requires functional diagnosis is being widely used. The video recording method of fluoroscopic studies has been useful in functional image diagnosis and dynamic image observation, but the utility of its image quality is being reduced because of limitation in setting play segments of the video player, inconvenience of play, difficulties in preserving reproduced images, the change of image quality, etc. In order to complement these shortages, it is necessary to facilitate access to patient diagnosis information such as storing, editing and sharing functional diagnosis images in response to the trend of the digitalization of digital radiographic & fluoroscopic system(DRF). Thus this study designed and implemented a device of storing functional dynamic images real time using a computer rather than existing video recording, aiming at contribution to functional image diagnosis.

NearSurface geophysical applications in Greece focused in archaeological prospection

  • Tsourlos, Panagiotis
    • 한국지구물리탐사학회:학술대회논문집
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    • 2007.06a
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    • pp.24-41
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    • 2007
  • In this paper several recent case studies of near surface geophysical applications in Greece are presented. The case studies are focused mostly in archeological site investigation, a field which is of high interest in Greece due to its reach historical heritage. The growing construction works in several parts of Greece as well as the increasing public interest in exploring and preserving cultural heritage lead to an increase of the application of nearsurface geophysics techniques as a preliminary investigation tool prior to engineering and archeological excavation works. Research efforts, presented in this work, are focused to extending and adapting standard nearsurface techniques in order to be made more effective for archaeological site investigation. The presented case studies involve not only standard field investigation procedures but also novel approaches such as the use of non-spike electrodes, efficient measuring and instrumentation strategies, unusual configurations and measurement environments. Overall it shown that efficient and state-of-art nearsurface geophysical techniques used for archaeological prospection purposes provide significant archaeological and structural information valuable for archeologists, engineers and conservation scientists.

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