• 한국콘텐츠학회논문지
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• 제9권12호
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• pp.77-85
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• 2009

멀티미디어가 일반화됨에 따라 이 콘텐츠 이용을 위한 수많은 소프트웨어가 개발되었다. 다이렉트쇼(Directshow)는 보다 쉽고, 빠르면서, 범용성 있는 멀티미디어 소프트웨어 개발을 위한 미디어 프레임워크(Framework)이다. 다이렉트쇼에서는 필터(Filter)간 연결을 통해 데이터 처리를 할 수 있다. 일반적으로 필터 간 자동연결기법을 이용하여 필터그래프(Filtergraph)를 구성하였다. 그러나 필터 간 자동연결시원하지 않는 필터들이 연결되어 예상치 못한 결과가 출력되거나 필터 핀(Pin)간 연결에 실패할 수 있다. 따라서 본 논문에서는 원하는 필터들만 연결하기 위하여 불필요한 필터들을 차단하는 방법에 대하여 제안한다. 차단방법에는 필터 내부 차단과 필터 외부 차단이 있으며, 내부 차단은 연결 호환성이 좋고 필터연결시간이 빠르고 외부차단은 필터 소스가 불필요하며 연결의 정확도가 높다. 결론적으로 이들 필터 차단방법의 장점을 조합하여 원하는 필터 간 연결을 구성하고, 오류를 최소화 할 수 있는 다이렉트쇼 기반의 필터차단기법 모델을 제안한다.

• 한국멀티미디어학회논문지
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• 제21권2호
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• pp.250-260
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• 2018

In order to control the quadcopter using reinforcement learning, hovering of 1-axial drones prototype is implemented through reinforcement learning. A complementary filter is used to measure the correct angle, and the range of angles is from -180 degrees to +180 degrees using modified complementary filter. The policy gradient method is used together with the REINFORCE algorithm for reinforcement learning. The prototype learned in this way confirmed the difference in performance depending on the length of the episode.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 추계학술발표대회
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• pp.768-769
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• 2011

VANET(Vehicular Ad-hoc Network)는 MANET(Mobile Ad-hoc Network)의 한 형태로, 다수의 차량들이 무선통신을 이용하여 차량 간 통신 또는 차량과 RSU(Road Side Unit)사이의 통신을 제공하는 차세대 네트워킹 기술이다. VANET환경에서 기존의 그룹 서명 방식을 이용한 메시지 서명 및 검증이 이루어진다면, 통신 차량이 많아질수록 오버헤드가 발생하는 단점을 지니고 있다. 이에 따라, 본 논문에서는 다수의 차량 간 통신 시에 보다 효율적인 메시지 검증을 위해 Bloom Filter를 이용한 메시지 일괄 검증 기법을 제안한다.

• 한국군사과학기술학회지
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• 제19권4호
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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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.693-709
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• 2018

In this paper, we propose a compact Convolutional Neural Network (CNN)-based tracker in conjunction with a particle filter architecture, in which the CNN model operates as an accurate candidates estimator, while the particle filter predicts the target motion dynamics, lowering the overall number of calculations and refines the resulting target bounding box. Experiments were conducted on the Online Object Tracking Benchmark (OTB) [34] dataset and comparison analysis in respect to other state-of-art has been performed based on accuracy and precision, indicating that the proposed algorithm outperforms all state-of-the-art trackers included in the OTB dataset, specifically, TLD [16], MIL [1], SCM [36] and ASLA [15]. Also, a comprehensive speed performance analysis showed average frames per second (FPS) among the top-10 trackers from the OTB dataset [34].

• 전력전자학회:학술대회논문집
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• 전력전자학회 2004년도 전력전자학술대회 논문집(2)
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• pp.587-591
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• 2004

This paper proposes a novel current compensation technique that can eliminate the harmonic currents included in line currents without computation of harmonic current components. A current controller with fast dynamics for an active filter is described. Harmonic currents are directly controlled without the need for sensing and computing the harmonic current of the load current, thus simplifying the control system. Current compensation is done in the time domain, allowing a fast time response. The DC voltage control loop keeps the voltage across the DC capacitor constant. High power factor control by an active filter is described. All control functions are implemented in software using a single-chip microcontroller, thus simplifying the control circuit. Any current-controlled synchronous rectifier can be used as a shunt active filter through only the simple modification of the software and the addition of current sensors. It is shown through experimental results that the proposed controller gives good performance for the shunt active filter.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2006년도 전기학술대회논문집
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• pp.109-110
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• 2006

The performance of a digital baseband signal processing and data transmission rate depends on the modulation technique. In this paper, We implemented DSP communication system for Underwater acoustic communication using by adaptive BPSK modem technique. In order to implement adaptive modem, we suggested SNR detection block. SNR detection block has the reference SNR value that selects between window filter path and matched filter path. In this paper, suggested system is based on software interface and all Hardware(PLL, modem filter, equalizer etc) is implemented by software, exclusive of DSP, A/D, D/A converter, SDRAM and Flash memory.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권4호
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• pp.497-501
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• 2010

소프트웨어 몽타주란 소프트웨어로부터 빠르게 추출 가능하고 내재된 특성을 함축하고 있는 정보를 의미한다. 잘 알려진 프로그램으로부터 몽타주를 작성하면 몽타주를 기반으로 유사 프로그램 탐지 대상을 필터링할 수 있다. 본 논문에서는 API 호출과 문자열 기반의 소프트웨어 몽타주를 제안한다. 제안된 몽타주를 평가하기 위해서 인스턴트 메신저 프로그램에 대한 유사 프로그램 탐지 대상의 필터링 실험을 하였다. 이 실험으로부터 제안된 몽타주가 잘 알려지지 않은 프로그램 탐지 대상을 필터링하는 포렌식 도구로 활용될 수 있다는 것을 확인하였다.

• 대한전기학회논문지
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• 제37권9호
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• pp.636-645
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• 1988

A new filter algorithm is suggested improving structurally the conventional extended Kalman filter of which the performance is dependent on the selection of the reference axes, by use of line-of-sight axes and gain rotation technique. The implementation method using microcomputer which implements tracking Kalman filter is introduced in terms of hardware and software. Then, through the simulation the performance of suggested filter is compared with that of conventional extended Kalman filter and the possibility of the real time tracking of moving target is investigated.

• Journal of Astronomy and Space Sciences
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• 제36권4호
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• pp.249-264
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• 2019

In this study, the precise orbit determination (POD) software is developed for optical observation. To improve the performance of the estimation algorithm, a nonlinear batch filter, based on the unscented transform (UT) that overcomes the disadvantages of the least-squares (LS) batch filter, is utilized. The LS and UT batch filter algorithms are verified through numerical simulation analysis using artificial optical measurements. We use the real optical observation data of a low Earth orbit (LEO) satellite, Cryosat-2, observed from optical wide-field patrol network (OWL-Net), to verify the performance of the POD software developed. The effects of light travel time, annual aberration, and diurnal aberration are considered as error models to correct OWL-Net data. As a result of POD, measurement residual and estimated state vector of the LS batch filter converge to the local minimum when the initial orbit error is large or the initial covariance matrix is smaller than the initial error level. However, UT batch filter converges to the global minimum, irrespective of the initial orbit error and the initial covariance matrix.