• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.593-595
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• 2003

패킷 분류는 품질보장(QoS), VPN(Virtual Private Network), 고성능 방화벽(high speed firewall). 인터넷 사용료 부과(pricing)를 제공하는 차세대 라우터에 반드시 필요한 기능이다. 라우터는 송신 주소, 수신 주소. 프로토콜 타입. 흑은 포트 번호와 같은 패킷 헤더의 설러 필드를 주어진 필터 리스트와 비교하여 패킷을 분류한다. 기존에 제시된 하드웨어 기반의 패킷 분류 기법은 빠른 검색 시간을 제공하지만 확장성과 테이블 갱신 면에서 문제점이 있다. 본 논문에서는 하드웨어 기반의 빠르고 확장성있고 갱신이 가능한 2차원 필드 검색 기법을 제시한다. 차후 연구에서는 본 기법을 보다 면밀히 분석하고 다차원 필터 검색이 가능하도록 확장한 기법을 제시하겠다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.4
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• pp.387-397
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• 1992

The spatial domain design of 2-dimensional separable denominator digital filters(SDDF) based on the reduced dimensional decomposition can be realized when the given 2-D impulse response specifications are decomposed into a pair of 1-D specifications via singular value decompositions(SVD). Because of use of the balaned approximation and equivalent transform as 1-D design algorithm, 2-D design algorithm retains the advantage that is numerically stable and can minimize quantization errors. In this paper in order to analyze and reduce these errors, minimum comfficient quantization realization is directly derived from impulse response specification. And using the equivalent trans form relation between mininum coefficient quantization error and minimum roundoff error realizations, we optimally realize a SDDF. This algorithm is analyzed by the simulation, which shows that it is superior to direct or balanced realization in quantization errors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.4
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• pp.567-574
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• 2006

This paper focuses on lossy medical image compression methods for medical images that operate on three-dimensional(3-D) irreversible integer wavelet transform. We offer an application of unbalanced tree structure algorithm to medical images, using a 3-D unbalanced wavelet decomposition and a 3-D unbalanced spatial dependence tree. The wavelet decomposition is accomplished with integer wavelet filters implemented with the lifting method. We have tested our encoder on volumetric medical images using different integer filters and 16 coding unit size. The coding unit sizes of 16 slices save considerable dynamic memory(RAM) and coding delay from full sequence coding units used in previous works. If we allow the formation of trees of different lengths, then we can accomodate more transaxial scales than three. Then the encoder and decoder can then keep track of the length of the tree in which each pixel resides through the sequence of decompositions. Results show that, even with these small coding units, our algorithm with I(5,3)filter performs as well and better in lossy coding than previous coding systems using 3-D integer unbalanced wavelet transforms on volumetric medical images.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.5
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• pp.464-474
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• 2003

Ultrasonic imaging of 3-D structures for nondestructive evaluation must provide readily recognizable images with enough details to clearly show various flaws that may or may not be present. Typical flaws that need to be detected are miniature cracks, for instance, in metal pipes having aged over years of operation in nuclear power plants; and these sub-millimeter cracks or flaws must be depicted in the final 3-D image for a meaningful evaluation. As a step towards improving conspicuity and thus detection of flaws, we propose a pulse-echo ultrasonic imaging technique to generate various 3-D views of the 3-D object under evaluation through strategic scanning and processing of the pulse-echo data. We employ a 2-D Wiener filter that filters the pulse-echo data along the plane orthogonal to the beam propagation so that ultrasonic beams can be sharpened. This three-dimensional processing and display coupled with 3-D manipulation capabilities by which users are able to pan and rotate the 3-D structure improve conspicuity of flaws. Providing such manipulation operations allow a clear depiction of the size and the location of various flaws in 3-D.

• Proceedings of the Optical Society of Korea Conference
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• 2003.02a
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• pp.94-95
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• 2003

광학식 3차원 형상측정 기술은 산업현장과 의료분야 등에서 광범위하게 사용되어지고 있으며, 이에 대한 연구도 활발히 진행되고 있다. 본 연구에서는 푸리에 변환법에 의한 위상정보 추출 기술을 개발하고, 주파수 영역에서의 창함수 필터에 따른 위상추출 특성을 분석하였다. 광조사 장치로는 LCD 프로젝터를 이용한 투영방식(그림 1)과 레이저 간섭계 투영방식(그림 2)을 사용하였다. (중략)

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.195-197
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• 2018

본 논문은 초해상도 영상 생성을 위한 CNN 구조를 제안한다. 제안하는 Cross-CNN 은 2 차원 필터의 분리성과 활성화 함수의 비선형성을 바탕으로 VDSR 구조의 시작과 마지막 층을 제외한 중간 층들에 교차하는 1 차원 필터를 적용한다. 제안하는 방법은 기존의 방법보다 적은 가중치를 사용하여 실행 시간을 단축하였다. 실험은 VDSR 실험에 사용된 291 개의 영상과 B100 영상을 이용하였다. 제안하는 방법은 네트워크 중간층에서 기존 방법 대비 약 1/3 의 가중치를 사용하여 20%의 속도 향상을 보였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.600-602
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• 2001

본 논문은 웨이블릿 필터를 이용하여 홍채영상의 에지를 검출하고 패턴매칭 기법을 적용하여 홍채의 결함조직에 대한 위치를 추정하는 연구이다. 필터는 웨이블릿 변환을 이용한 2차원 주파수 영역의 고역통과 필터를 사용하여 홍채영상의 에지를 검출하고, 이를 표준진단패턴과 오버랩 매칭으로 결함조직을 검출한다. 실험결과 처리속도가 기존의 에지검출기법에 비해 처리속도향상과 에지검출영상의 PSNR 증가에 따라 오버랩 패턴매칭기법에 의한 인식률에서 92%로 홍채결함조직을 자동 진단시스템에 응용 가능하다.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.83-92
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• 2007

In this paper, we present a design and implementation of three dimensional pointing device using Inertial Navigation System(INS) that acquires coordinates and location information without environmental dependancy. The INS measures coordinates based on the data from gyroscope and accelerometer and corrects the measured data from accelerometer using Kalman-Filter. In order to implement the idea of three dimensional pointing device, we choose a three dimensional Space-recognition mouse and use RFIC wireless communication to send a measured data to receiver for printing out the coordinate on display equipment. Based on INS and Kalman-Filter theoretical knowledge, we design and implement a three dimensional pointing device and verified the usability as an input device that can capture a human's move. also, we describe the applicability of this device in ubiquitous computing environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.14 no.2
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• pp.95-107
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• 1989

This paper proposes a realization method of multidimensional digital filters that has high modularity, regularity and parallelism enjoying the attributes for efficient VLSI implementation. The method shows that multidimensional transfer functions can be treated as two-dimensional transfer functions modifying the decomposition method of multidimensional transfer functions proposed by Venetsanopoulos etal, and then be displayed by multiplications and additions of one-dimensional transfer functions by applying the griangular decomposition theorem to the coefficient matrices of the two-dimensional transfer functions.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.119-138
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• 2024

Text indicators are increasingly valuable in economic forecasting, but are often hindered by noise and high dimensionality. This study aims to explore post-processing techniques, specifically noise filtering and dimensionality reduction, to normalize text indicators and enhance their utility through empirical analysis. Predictive target variables for the empirical analysis include monthly leading index cyclical variations, BSI (business survey index) All industry sales performance, BSI All industry sales outlook, as well as quarterly real GDP SA (seasonally adjusted) growth rate and real GDP YoY (year-on-year) growth rate. This study explores the Hodrick and Prescott filter, which is widely used in econometrics for noise filtering, and employs sufficient dimension reduction, a nonparametric dimensionality reduction methodology, in conjunction with unstructured text data. The analysis results reveal that noise filtering of text indicators significantly improves predictive accuracy for both monthly and quarterly variables, particularly when the dataset is large. Moreover, this study demonstrated that applying dimensionality reduction further enhances predictive performance. These findings imply that post-processing techniques, such as noise filtering and dimensionality reduction, are crucial for enhancing the utility of text indicators and can contribute to improving the accuracy of economic forecasts.