• Title/Summary/Keyword: Filtering technique

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A Measurement Algorithm using Gray-level Thresholding in Automatic Refracto-Keratometer (그레이-레벨 한계 기법을 이용한 자동 시각 굴절력 곡률계의 측정 알고리즘)

  • Sung, Won;Park, Jong-Won
    • The KIPS Transactions:PartB
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    • v.9B no.6
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    • pp.727-734
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    • 2002
  • Currently. people become interested in the development of measuring instrument related to eyesight. In this study, we developed software of electronic part in automatic refracto-keratometer. If an automatic system, which uses images from an optical instrument, can inform the in-spector of an accurate eyesight measured value after the internal process, the frequency of mistakenly observed value will be reduced considerably. This software is using morphological filtering and gray-level signal enhancing techniques. The morphological filtering is the first process, from images of the optical instrument, to transform an original image which is hard to process into manageable one. The second process is a signal enhancing technique to the first processed image using gray -level thresholding technique and is used to reduce an error caused by the variety in distribution of the gray value of image. Therefore, this software system in electronic part will make more effective eyesight measurement by reducing the error effectively when applied to the optical image which is difficult to get accurate measurement value.

A Keyword-based Filtering Technique of Document-centric XML using NFA Representation (NFA 표현을 사용한 문서-중심적 XML의 키워드 기반 필터링 기법)

  • Lee, Kyoung-Han;Park, Seog
    • Journal of KIISE:Databases
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    • v.33 no.5
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    • pp.437-452
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    • 2006
  • In this paper, we propose an extended XPath specification which includes a special matching character '%' used in the LIKE operation of SQL in order to solve the difficulty of writing some queries to filter element contents well, using the previous XPath specification. We also present a novel technique for filtering a collection of document-centric XMLs, called Pfilter, which is able to exploit the extended XPath specification. Owing to sharing the common prefix characters of the operands in value-based predicates, the Pfilter improves the performance in processing those. We show several performance studies, comparing Pfilter with Yfilter in respect to efficiency and scalability as using multi-query processing time (MQPT), and reporting the results with respect to inserting, deleting, and processing of value-based predicates. In conclusion, our approach provides a core algorithm for evaluating the contains() function of XPath queries in previous XML filtering researches, and a foundation for building XML-based distributed information systems.

A Real Time Deblocking Technique Using Adaptive Filtering in a Mobile Environment (모바일 환경에서 적응적인 필터링을 이용한 실시간 블록현상 제거 기법)

  • Yoo, Jae-Wook;Park, Dae-Hyun;Kim, Yoon
    • The Journal of Korean Association of Computer Education
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    • v.13 no.4
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    • pp.77-86
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    • 2010
  • In this paper, we propose a real time post-processing visual enhancement technique to reduce the blocking artifacts in block based DCT decoded image for mobile devices that have allocation of the restricted resource. In order to reduce the blocking artifacts effectively even while preserving the image edge to the utmost, the proposed algorithm uses the deblocking filtering or the directional filtering according to the edge detection of the each pixel. After it is discriminated that the pixel to apply the deblocking filtering belongs again to the monotonous area, the weighted average filter with the adaptive mask is applied for the pixel to remove the blocking artifacts. On the other hand, a new directional filter is utilized to get rid of staircase noise and preserve the original edge component. Experimental results show that the proposed algorithm produces better results than those of the conventional algorithms in both subjective and objective qualities.

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FPGA Design of Open-Loop Frame Prediction Processor for Scalable Video Coding (스케일러블 비디오 코딩을 위한 Open-Loop 프레임 예측 프로세서의 FPGA 설계)

  • Seo Young-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5C
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    • pp.534-539
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    • 2006
  • In this paper, we propose a new frame prediction filtering technique and a hardware(H/W) architecture for scalable video coding. We try to evaluate MCTF(motion compensated temporal filtering) and hierarchical B-picture which are a technique for eliminate correlation between video frames. Since the techniques correspond to non-causal system in time, these have fundamental defects which are long latency time and large size of frame buffer. We propose a new architecture to be efficiently implemented by reconfiguring non-causal system to causal system. We use the property of a repetitive arithmetic and propose a new frame prediction filtering cell(FPFC). By expanding FPFC we reconfigure the whole arithmetic architecture. After the operational sequence of arithmetic is analyzed in detail and the causality is imposed to implement in hardware, the unit cell is optimized. A new FPFC kernel was organized as simple as possible by repeatedly arranging the unit cells and a FPFC processor is realized for scalable video coding.

A fuzzy logic based bin picking technique (퍼지논리를 이용한 Bin picking 방법)

  • 김태원;서일홍;김기엽
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.979-983
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    • 1991
  • A novel 2-dimensional matched filter of the parallel-jaw type using fuzzy logics is proposed for bin picking. Specifically, averaged pixel intensity of the windowed region for the filtering is considered to be fuzzy. Also membership function for darkness and brightness are designed by employing the intensite histogram of image. Then a rule is given to know how much a windowed region can be a possible holdsite. Furthermore eight rules are made to determine the part orientation, where Mamadi's resoning method is applied. To show the validities of our proposed technique. some experimental results are illustrated and compared with the results by conventional matched filter technique.

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Channel Estimation for Mobile OFDM systems by LS Estimator based Kalman Filtering Algorithm

  • Bae, Sang-Jun;Jang, Yoon-Ho;Nam, Sang-Kyun;Kwak, Kyung-Sup
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.12C
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    • pp.1208-1215
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    • 2009
  • In OFDM systems, mobile channel degrades the system performance seriously. Therefore, channel estimation technique is required to compensate for the degradation from the channel effects. However, conventional channel estimations in frequency domain induce ICI which is induced from Doppler frequency. In addition, a linear interpolation method causes inaccurate channel estimation. In order to minimize the effect of the interference and interpolation error, the proposed method combines LS method and Kalman filtering algorithm. Channel impulse response is adaptively tracked by Kalman filtering based on the information from LS estimator. Simulation results are presented to verify the performance of the proposed channel estimation over mobile channel environment. Simulation results show that the proposed method can effectively compensate for channel degradation.

Real-Tim Sound Field Effect Implementation Using Block Filtering and QFT (Block Filtering과 QFT를 이용한 실시간 음장 효과구현)

  • Sohn Sung-Yong;Seo Jeongil;Hahn Minsoo
    • MALSORI
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    • no.51
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    • pp.85-98
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    • 2004
  • It is almost impossible to generate the sound field effect in real time with the time-domain linear convolution because of its large multiplication operation requirement. To solve this, three methods are introduced to reduce the number of multiplication operations in this paper. Firstly, the time-domain linear convolution is replaced with the frequency-domain circular convolution. In other words, the linear convolution result can be derived from that of the circular convolution. This technique reduces the number of multiplication operations remarkably, Secondly, a subframe concept is introduced, i.e., one original frame is divided into several subframes. Then the FFT is executed for each subframe and, as a result, the number of multiplication operations can be reduced. Finally, the QFT is used in stead of the FFT. By combining all the above three methods into our final the SFE generation algorithm, the number of computations are reduced sufficiently and the real-time SFE generation becomes possible with a general PC.

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Design and Software Implementation of Noise Reduction Filter for Mid-wave Infrared Images (중적외선 영상 잡음 감소를 위한 SW 필터의 설계 및 구현)

  • Park, Hyunsung;Kim, Jungho;Lee, Sungho
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.4
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    • pp.500-507
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    • 2016
  • In order to increase the survivability of combatant ship, measuring and analyzing the infrared radiation is important. Consequently, providing analysis report is also important for the progress of the new combatant ship design. This paper proposes a design and software implementation of filtering for the noise reduction of mid-wave IR camera image. We reduced the total test cost by using the suggested software filtering technique instead of hardware replacement or re-calibration. In addition, we enhanced the accuracy of analysis results by adjusting the parameters of software filtering according to the results of filtered image.

Optimization of a waveguide with stubs based on the genetic algorithm (유전 알고리즘을 이용한 도파관 스텁 구조의 최적화)

  • Cho, Yong Heui
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.648-651
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    • 2009
  • Using a mode-matching technique, a waveguide structure with multiple stubs which is utilized as the component of various communication systems has frequency filtering characteristics. We define a proper fitness function to automatically design the pass and stop bands of a waveguide structure with multiple stubs for frequency filtering and the genetic algorithm can be implemented with the fitness function proposed in this paper. The frequency filtering characteristics are numerically computed and parametric sweeps are also performed.

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Using Fuzzy Rating Information for Collaborative Filtering-based Recommender Systems

  • Lee, Soojung
    • International journal of advanced smart convergence
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    • v.9 no.3
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    • pp.42-48
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    • 2020
  • These days people are overwhelmed by information on the Internet thus searching for useful information becomes burdensome, often failing to acquire some in a reasonable time. Recommender systems are indispensable to fulfill such user needs through many practical commercial sites. This study proposes a novel similarity measure for user-based collaborative filtering which is a most popular technique for recommender systems. Compared to existing similarity measures, the main advantages of the suggested measure are that it takes all the ratings given by users into account for computing similarity, thus relieving the inherent data sparsity problem and that it reflects the uncertainty or vagueness of user ratings through fuzzy logic. Performance of the proposed measure is examined by conducting extensive experiments. It is found that it demonstrates superiority over previous relevant measures in terms of major quality metrics.