• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.828-831
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• 1997

One of the most important design factor for the image tracker is the speed of the data processing which allows real-time operation of the system and provides reasonably accurate performance at the same time. Use of powerful DSP alone does not guarantee to meet such requirement. In this paper, a simple efficient algorithm for real-time multi-target image tracking is suggested. The suggested method is based on a recursive centroiding technique and color table look-up. This method has been successfully implemented in a image processing system for Micro-Robot Soccer Tournament(MIROSOT). This tracker can track positions of a ball, 3 enemies, and 3 agents at the same time. The experimental results show that the processing time for each frame of image is less than 7ms, which is well within the 60Hz sampling interval for real-time operation.

• 대한전자공학회논문지
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• 제26권10호
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• pp.1518-1527
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• 1989

We proposed a technique to design a multimicrocomputer system for real-time parallel processing with an interconnection network which has good network latency time. In order to simplify the performance evaluation and the design procedure under the hard real-time constraints we defined network latency time which takes into account the queueing delays of the networks. We designed a dynamic interconnection network following the proposed technique, and the simulation results show that we can easily estimate the multimicrocomputer system's approximate performance using the defined network latency time before the actual design, so this definition can help the efficient design of the real-time parallel processing systems.

• 대한전기학회논문지
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• 제37권11호
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• pp.804-815
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• 1988

Real-time image processing algorithms to detect position and orientation of rectangular type electronic components are developed. The position detection algorithm is implemented with the use of projection method which is insensitive to noise. Also dynamic thresholding method of projection is employed in order to distinguish between the boundary of a component and any marking on the component. The orientation is determined by Hough transform of boundary candidates of a component, which is obtained a priori by a simple edge detection method. For real-time processing of both position and orientation for a component which is not aligned well, parallel processing method of image data is proposed and tested in real-time.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.171-171
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• 2000

We have developed m innovative surface inspection system for automated quality control for steel products in POSCO. We had ever installed the various kinds of surface inspection systems, such as a linear CCD and a laser typed surface inspection systems at cold rolled strips production lines. But, these systems cannot fulfill the sufficient detection and classification rate, and real time processing performance. In order to increase detection and classification rate, we have used the Dark, Bright and Transition Field illumination and area type CCD camera, and fur the real time image processing, parallel computing has been used. In this paper, we introduced the automatic surface inspection system and real time image processing technique using the Object Detection, Defect Detection, Classification algorithms and its performance obtained at the production line.

• 전기전자학회논문지
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• 제26권2호
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• pp.226-231
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• 2022

정보 엔트로피의 개념은 다양한 분야에서 폭넓게 응용되고 있다. 최근 영상처리 분야에서도 정보 엔트로피 개념을 응용한 기술들이 많이 개발되고 있다. 현대 산업에서 컴퓨터 비전 기술들의 중요성과 수요가 증가함에 따라, 영상처리 기술들이 현대 산업에 효율적으로 적용되기 위해서는 실시간 처리가 가능해야 한다. 영상의 엔트로피 값을 추출하는 것은 소프트웨어로는 계산량이 복잡해 실시간 처리가 어려우며 실시간 처리가 가능한 영상 엔트로피 필터의 하드웨어 구조는 제안된 적이 없다. 본 논문에서는 barrel shifter를 사용하여 실시간 처리가 가능한 히스토그램 기반 엔트로피 필터의 하드웨어 구조를 제안한다. 제안한 하드웨어는 Verilog HDL을 이용하여 설계하였고, Xilinx사의 xczu7ev-2ffvc1156을 Target device로 설정하여 FPGA 구현하였다. Xilinx Vivado 프로그램을 이용한 논리합성 결과 4K UHD의 고해상도 환경에서 최대 동작 주파수 750.751MHz를 가지며, 1초에 30장 이상의 영상을 처리하며 실시간 처리 기준을 만족함을 보인다.

• Journal of Information Processing Systems
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• 제15권6호
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• pp.1462-1471
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• 2019

Real-time embedded systems have become pervasive in general industry. They also began to be applied in such domains as avionics, automotive, aerospace, healthcare, and industrial Internet. However, the system failure of such domains could result in catastrophic consequences. Runtime software testing is required in such domains that demands very high accuracy. Traditional runtime software testing based on handwork is very inefficient and time consuming. Hence, test automation methodologies in runtime is demanding. In this paper, we introduce a software testing system that translates a real-time software into a monitorable real-time software. The monitorable real-time software means the software provides the monitoring information in runtime. The monitoring target are time constraints of the input real-time software. We anticipate that our system lessens the burden of runtime software testing.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.150-150
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• 2018

The Numerical Weather Prediction (NWP) models provide information for weather forecasts. The highly nonlinear and complex interactions in the atmosphere are simplified in meteorological models through approximations and parameterization. Therefore, the simplifications may lead to biases and errors in model results. Although the models have improved over time, the biased outputs of these models are still a matter of concern in meteorological and hydrological studies. Thus, bias removal is an essential step prior to using outputs of atmospheric models. The main idea of statistical bias correction methods is to develop a statistical relationship between modeled and observed variables over the same historical period. The Model Output Statistics (MOS) would be desirable to better match the real time forecast data with observation records. Statistical post-processing methods relate model outputs to the observed values at the sites of interest. In this study three methods are used to remove the possible biases of the real-time outputs of the Weather Research and Forecast (WRF) model in Imjin basin (North and South Korea). The post-processing techniques include the Linear Regression (LR), Linear Scaling (LS) and Power Scaling (PS) methods. The MOS techniques used in this study include three main steps: preprocessing of the historical data in training set, development of the equations, and application of the equations for the validation set. The expected results show the accuracy improvement of the real-time forecast data before and after bias correction. The comparison of the different methods will clarify the best method for the purpose of the forecast skill enhancement in a real-time case study.

• Computers and Concrete
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• 제23권6호
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• pp.445-457
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• 2019

Cracks are an important distress of concrete bridges, and may reduce the life and safety of bridges. However, the traditional manual crack detection means highly depend on the experience of inspectors. Furthermore, it is time-consuming, expensive, and often unsafe when inaccessible position of bridge is to be assessed, such as viaduct pier. To solve this question, the real-time automatic crack detecting system with unmanned aerial vehicle (UAV) become a choice. This paper designs a new automatic detection system based on real-time comprehensive image processing for bridge crack. It has small size, light weight, low power consumption and can be carried on a small UAV for real-time data acquisition and processing. The real-time comprehensive image processing algorithm used in this detection system combines the advantage of connected domain area, shape extremum, morphology and support vector data description (SVDD). The performance and validity of the proposed algorithm and system are verified. Compared with other detection method, the proposed system can effectively detect cracks with high detection accuracy and high speed. The designed system in this paper is suitable for practical engineering applications.

• The Journal of the Acoustical Society of Korea
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• 제15권3E호
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• pp.13-18
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• 1996

A real-time identifier for the nonstationary time-varying signals and systems was implemented using a low cost DSP (digital signal processing) chip. The identifier is comprised of I/O units, a central processing unit, a control unit and its supporting software. In order t estimate the system accurately and to reduce quantization error during arithmetic operation, the firmware was programmed with 64-bit extended precision arithmetic. The performance of the identifier was verified by comparing with the simulation results. The implemented real-time identifier has negligible quantization errors and its real-time processing capability crresponds to 0.6kHz for the nonstationary AR (autoregressive) model with n=4 and m=1.

• 정보처리학회논문지B
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• 제18B권4호
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• pp.173-180
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• 2011

본 논문은 GPU(Graphics Processing Unit) 에서 CUDA(Compute Unified Device Architecture)를 사용하여 실시간으로 객체를 분할하는 방법을 소개한다. 최근에 감시 시스템, 오브젝트 추적, 모션 분석 등의 많은 응용 프로그램들은 실시간 처리가 요구된다. 이러한 단계의 선행부분인 객체 분할 기법은 기존 CPU 기반의 시스템으로는 실시간 처리에 제약이 발생한다. NVIDIA에서는 Parallel Processing for General Computation 을 위해 그래픽 하드웨어 제약을 개선한 CUDA platform을 제공하고 있다. 본 논문에서는 객체 추출 단계에 대표적인 적응적 가우시안 혼합 배경 모델링(Adaptive Gaussian Mixture Background Modeling) 알고리즘과 Classification 기법으로 사용되는 CCL (Connected Component Labeling) 알고리즘을 적용하였다. 본 논문은 2.4GHz를 갖는 Core2 Quad 프로세서와 비교하여 평가하였고 그 결과 3~4배 이상의 성능향상을 확인할 수 있었다.