• 한국항공우주학회지
• /
• 제37권8호
• /
• pp.759-766
• /
• 2009

본 논문은 INS/vSLAM 통합 항법 시스템의 성능 향상을 위한 기초 연구로써, 비전 센서의 영상처리 성능을 향상을 위한 알고리즘 개발에 목표를 두고 있다. 비전센서의 영상처리알고리즘으로 SIFT 알고리즘을 사용하였으며, SIFT 알고리즘의 특징점 정합 성능을 개선하기 위해 특징점 정합 필터를 적용하였다. 본 논문에서 제안한 알고리즘을 이용하여 기존의 SIFT 알고리즘을 파라미터 조절한 경우보다 향상된 결과를 얻을 수 있었다. 차후 실시간 통합 항법 시스템에 적용하기 위해서 알고리즘의 속도를 향상시키는 작업이 필요하다.

• 대한공간정보학회지
• /
• 제24권2호
• /
• pp.37-46
• /
• 2016

The difference between definition time of GPS (Global Positioning System) position data and actual display time of car positions on a map could reduce the accuracy of car positions displayed in PND (Portable Navigation Device)-type CNS (Car Navigation System). Due to the time difference, the position of the car displayed on the map is not its current position, so an improved method to fix these problems is required. It is expected that a method that uses predicted future positionsto compensate for the delay caused by processing and display of the received GPS signals could mitigate these problems. Therefore, in this study an analysis was conducted to correct late processing problems of map positions by mapmatching using a Kalman filter with only GPS position data and a RRF (Road Reduction Filter) technique in a light-weight CNS. The effects on routing services are examined by analyzing differences that are decomposed into along and across the road elements relative to the direction of advancing car. The results indicate that it is possible to improve the positional accuracy in the along-the-road direction of a light-weight CNS device that uses only GPS position data, by applying a Kalman filter and RRF.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
• /
• pp.259-264
• /
• 2006

It is well known that the uncertainty of the covariance parameters of the process noise (Q) and the observation errors (R) has a significant impact on Kalman filtering performance. Q and R influence the weight that the filter applies between the existing process information and the latest measurements. Errors in any of them may result in the filter being suboptimal or even cause it to diverge. The conventional way of determining Q and R requires good a priori knowledge of the process noises and measurement errors, which normally comes from intensive empirical analysis. Many adaptive methods have been developed to overcome the conventional Kalman filter's limitations. Starting from covariance matching principles, an innovative adaptive process noise scaling algorithm has been proposed in this paper. Without artificial or empirical parameters to be set, the proposed adaptive mechanism drives the filter autonomously to the optimal mode. The proposed algorithm has been tested using road test data, showing significant improvements to filtering performance.

• 한국멀티미디어학회논문지
• /
• 제21권9호
• /
• pp.1052-1061
• /
• 2018

In this paper, we propose a new algorithm that is robust against the effects of objects that are relatively unaffected by camera motion and can accurately detect camera motion even in high resolution images. First, for more accurate camera motion detection, a global motion filter based on entropy of a motion vector is used to distinguish the background and the object. A block matching algorithm is used to find exact motion vectors. In addition, a matched filter with the angle of the ideal motion vector of each block is used. Motion vectors including 4 kinds of diagonal direction, zoom in, and zoom out are added additionally. The experiment shows that the precision, recall, and accuracy of camera motion detection compared to the recent results is improved by 12.5%, 8.6% and 9.5%, respectively.

• 한국음향학회지
• /
• 제20권5호
• /
• pp.69-75
• /
• 2001

본 연구에서는 일반적인 1, 2단자쌍 회로망의 임피던스 정합회로를 간단하고 빠르게 구할수 있는 새로운 방법을 제시하였다. 먼저 임피던스 정합 대상인 1단자쌍 또는 2단자쌍 회로망에 인덕터와 캐패시터의 조합으로 이루어진 임의의 L-회로망 형태의 정합회로가 포함된 전체 회로망 구조를 설정하고, 이 구조에 대한 전송행렬을 계산한 뒤에 회로망 양단의 부하저항 조건을 적용하여 전체 회로망의 입출력 임피던스를 구하였다. 이 식으로부터 정합용 소자의 정확한 값을 연립방정식을 이용하여 계산하였다. 본 연구의 타당성을 검증하기 위해 CDMA(code division multiple access)용 소자로 널리 사용되는 중간주파수 대 역 withdrawal 가중형 SAW필터 에 본 연구에서 제시한 방법을 적용하여 임피던스 정합 전후의 특성변화를 시뮬레이션과 실험을 통하여 확인하였다. 그 결과 85.38 MHz의 중심주파수에서 비대역폭이 1.2％ 삽입손실이 29 dB, VSWR (voltage standing wave ratio)이 80인 필터를 본 연구방법을 이용하여 정합한 경우에 각각의 성능이 1.8％, 9 dB, 3으로 향상됨을 시뮬레이션과 실험을 통해 확인하였다. 본 연구결과는 SAW (surface acoustic wave) 디바이스의 정합에 매우 용이하게 이용될 수 있을 뿐만 아니라 다른 형태의 1, 2단자쌍 회로망의 임피던스 정합에도 널리 사용될 수 있다.

• 한국수산과학회지
• /
• 제52권6호
• /
• pp.702-708
• /
• 2019

The range resolution of echo sounders can be improved by enhancing the transducer bandwidth. We designed a bandpass matching network for expanding the bandwidth of a transducer by scaling in both impedance and frequency after transforming a lowpass network into a bandpass configuration for a third-order Bessel filter. We measured the effect of the Bessel matching network for a 50 kHz sandwich type transducer on the transmitting voltage response (TVR), receiving sensitivity (SRT) and figure of merit (FOM), using a chirp echo sounder system. Both the simulation and experimental results indicated that the transducer with a bandpass matching network was capable of producing a symmetrical acoustic output over a wider bandwidth (8.25 kHz) than was the transducer without a matching network (3.75 kHz). By implementing the Bessel matching network, we achieved a 120% bandwidth enhancement.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권5호
• /
• pp.1766-1784
• /
• 2014

Finger vein images contain rich oriented features. Local line binary pattern (LLBP) is a good oriented feature representation method extended from local binary pattern (LBP), but it is limited in that it can only extract horizontal and vertical line patterns, so effective information in an image may not be exploited and fully utilized. In this paper, an orientation-selectable LLBP method, called generalized local line binary pattern (GLLBP), is proposed for finger vein recognition. GLLBP extends LLBP for line pattern extraction into any orientation. To effectually improve the matching accuracy, the soft power metric is employed to calculate the matching score. Furthermore, to fully utilize the oriented features in an image, the matching scores from the line patterns with the best discriminative ability are fused using the Hamacher rule to achieve the final matching score for the last recognition. Experimental results on our database, MMCBNU_6000, show that the proposed method performs much better than state-of-the-art algorithms that use the oriented features and local features, such as LBP, LLBP, Gabor filter, steerable filter and local direction code (LDC).

• Journal of Astronomy and Space Sciences
• /
• 제15권1호
• /
• pp.229-234
• /
• 1998

We study on a terrain contour matching algorithm using Radial Basis Functions(RBFs) for aided inertial navigation system for position fixing aircraft, cruise missiles or re-entry vehicles. The parameter optimization technique is used for updating the parameters describing the characteristics of an area with modified Gaussian least square differential correction algorithm and the step size limitation filter according to the amount of updates. We have applied the algorithm for matching a sampled area with a target area supposed that the area data are available from Radar Terrain Sensor(RTS) and Reference Altitude Sensor(RAS)

• 전기학회논문지P
• /
• 제57권3호
• /
• pp.236-243
• /
• 2008

This paper analyses magnetic flux saturation of matching transformer considering characteristic of dynamic voltage restorer(DVR) system to solve voltage sags which are considered the dominant disturbances affecting power quality. This DVR consist of PWM inverter to inject arbitrary voltage, LC low pass filter and matching transformer for isolation and grid connection. However, the matching transformer has an excess of inrush current by magnetic flux saturation in the core of transformer. Due to this inrush current, the rating of matching transformers is double for needed nominal rating for protection of DVR. Therefore, in this paper, an advanced modeling method of magnetic flux saturation is used to analyze a magnitude and characteristic of magnetizing current. Simulation and experimental results considering characteristic of DVR system are provided to demonstrate the validity of the proposed analysis method.

• 정보처리학회논문지D
• /
• 제11D권7호
• /
• pp.1385-1398
• /
• 2004

본 논문에서는 시계열 데이터베이스에서 타임 워핑 하의 서브시퀀스 매칭을 효과적으로 처리하는 방안에 관하여 논의한다. 타임 워핑은 시퀀스의 길이가 서로 다른 경우에도 유사한 패턴을 갖는 시퀀스들을 찾을 수 있도록 해 준다. 먼저, 사전 실험을 통하여 기존의 기본적인 처리 방식인 Naive-Scan의 성능 병목이 CPU 처리 과정에 있음을 지적하고, Naive-Scan의 CPU 처리 과정을 최적화하는 새로운 기법을 제안한다. 제안된 기법은 질의 시퀀스와 서브시퀀스들간의 타임 워핑 거리들을 계산하는 과정에서 발생하는 중복 작업들을 사전에 제거함으로써 CPU 처리 성능을 극대화한다. 제안된 기법이 착오 기각을 발생시키지 않음과 Naive-Scan을 처리하기 위한 최적의 기법임을 이론적으로 증명한다. 또한, 제안된 기법을 기존의 타임 워핑 하의 서브시퀀스 매칭 기법인 LB-Scan과 ST-Filter의 후처리 정량적으로 검증한다. 실험 결과에 의하면, 기존의 타임 워핑 하의 서비시퀀스 매칭을 위한 모든 기법들이 제안된 최적화 기법에 의하여 성능이 개선되는 것으로 나타났다. 특히, Nsive-Scan은 최적화 기법의 적용 전에는 가장 떨어지는 성능을 보였으나, 최적화 기법의 적용 후에는 모든 경우에서 ST-Filter나 LB-Scan을 사용한 경우보다 더 좋은 성능을 보였다. 이것은 성능 병목인 CPU 처리 과정을 최적화함으로써 기존 기법들인 Naive-Scan, LB-Scan, ST-Filter 간의 처리 성능 상의 순위 역전 현상이 발생하였음을 보이는 매우 중요한 결과이다.