• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.10
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• pp.1537-1545
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• 1993

In this paper, we design a pattern generator and a fault position detector to implement the proposed fault test algorithms which are Column Weight Sensitive Fault (CWSF) test algorithm and bit line decoder fault test algorithm for performing the Built-In Self Test(BIST) in RAM. A pattern generator consists of an address generator and a data generator. An address generator is divided into a row address generator for effective address and a column address generator for sequential and parallel addresses. A fault position detector is designed to determine whether full occurred or not and to find the position of the fault. We verify the implemented circuits by the simulation.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.5
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• pp.27-37
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• 1999

A CMOS ReadOut Integrated Circuit (ROlC) for InfraRed Focal Plane Array (IRFPA) detector is presented, which is a key component in uncooled thermal imaging systems. The ROIC reads out signals from $64\times64$ Barium Strontium Titanate (BST) infrared detector array, then outputs pixel signals sequentially after amplifying and noise filtering. Various design requirements and constraints have been considered including impedance matching, low noise, low power dissipation and small detector pitch. For impedance matching between detector and pre~amplifier, a new circuit based on MOS diode structure is devised, which can be easily implemented using standard CMOS process. Also, tunable low pass filter with single~pole is used to suppress high frequency noise. In additions, a clamping circuit is adopted to enhance the signal~to-noise ratio of the readout output signals. The $64\times64$ IRFPA ROIC is designed using $0.65-\mu\textrm{m}$ 2P3M (double poly, tripple metal) N~Well CMOS process. The core part of the chip contains 62,000 devices including transistors, capacitors and resistors on an area of about $6.3-mm\times6.7-mm$.

• Journal of the Korean Society for Nondestructive Testing
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• v.21 no.5
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• pp.493-500
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• 2001

The detection of axial cracks using conventional MFL pig is a significant challenge in the gas pipeline inspection. In this study, a technique using interaction of circumferentially induced torrents with axial stress corrosion crack is presented. The feasibility of this technique is investigated using finite element modeling. Finite element analysis of such interaction is a difficult problem in terms of both computation time and memory requirements. The challenges arise due to the nonlinearity of material properties, the small sire of tight cracks relative to that of the magnetizer, and also time stepping involved in modeling velocity effects. This paper presents an approach based on perturbation methods. The overall analysis procedure is divided into 4 simple steps that can be performed sequentially. Modeling results show that this technique can effectively detect colonies of SCC as well as single SCC.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.5
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• pp.103-110
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• 2008

A reliable extraction of welded area is the precedent task before the detection of weld defects in industrial radiography. This paper describes an attempt to detect and extract the welded features of steel tubes from the computed radiography(CR) images. The statistical properties are first analyzed on over 160 sample radiographic images which represent either weld or non-weld area to identify the differences between them. The analysis is then proceeded by pattern classification to determine the clustering parameters. These parameters are the width, the functional match, and continuity. The observed weld image is processed line by line to calculate these parameters for each flexible moving window in line image pixel set. The local statistic line-clustering method is used as the classifier to recognize each window data as weld or non-weld cluster. The sequential procedure is to track the edge lines between two distinct regions by iterative calculation of threshold, and it results in extracting the weld feature. Our methodology is concluded to be effective after experiment with CR weld images.

• Journal of the Korean Institute of Telematics and Electronics
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• v.22 no.1
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• pp.75-85
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• 1985

We have studied on the 2-D moving target tracking algorithm satisfying a real-time hardware implementation requirement. In this paper, a fast algorithm is developed based on the operator formulation and the variational algorithm f 10] . Here, we use the directed search for the maximum of the cross-correlation in order to obtain an initial estimate for the variational algorithm and decompose the scene into 16 smaller subblocks and apply the variational algorithm to each subblock sequentially with a new moving area detection method. We call the algorithm subblock based recursive algorithm. Compared with (10) , the ratio of the computational savings obtained from the proposed algorithm is 7 on the average.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.7B
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• pp.664-672
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• 2002

This paper analyzes a sequential estimator with flexible structure for rapid acquisition of the m-sequence signals. If the received PN chips stored in the estimator's internal registers as initial loading values include one error, this chip with error can be corrected through multiple local PN code generators to achieve high-speed acquisition performance. Hamming distance between regenerated local PN codes from the proposed system and received PN code is compared with given threshold to choose a possible correct path and to declare success of the code acquisition. Using signal flow graph, average acquisition time that depends on detection and false alarm probability is calculated. By modifying generally used matched filter structure for PN code acquisition, the proposed system provides flexible structure and rapid acquisition process.

• Journal of the Institute of Convergence Signal Processing
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• v.17 no.2
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• pp.67-70
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• 2016

This paper discusses a graphic user interface(GUI) for the concealed target segmentation. The human subject hiding a metal gun is captured by the passive millimeter wave(MMW) imaging system. The imaging system operates on the regime of 8 mm wavelength. The MMW image is analyzed by the multi-level segmentation to segment and identify a concealed weapon under clothing. The histogram of the passive MMW image is modeled with the Gaussian mixture distribution. LBG vector quantization(VQ) and expectation and maximization(EM) algorithms are sequentially applied to segment the body and the object area. In the experiment, the GUI is implemented by the MFC(Microsoft Foundation Class) and the OpenCV(Computer Vision) libraries and tested in real-time showing the efficiency of the system.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.1
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• pp.1-8
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• 2002

The color interpolation scheme can play an important role in overcoming the physical limitation of the CCD image sensor and in increasing the resolution of color signals, while most conventional approaches result in blurred edges and false color artifacts. In this paper, we have proposed an improved edge-adaptive color interpolation scheme for a progressive scan CCD image sensor with RGB color filter array The edge indicator function proposed utilizes not only the within-channel correlation but also the cross-channel correlation, and reflects the edge characteristics of an image adaptively. The color components unavailable for at each channel are interpolated along the edge direction, not across the edges, so that aliasing artifacts are supressed. Furthermore, we eliminated false color artifacts resulting from the color image formation model in the edge-adaptive color interpolation scheme by adopting the switching algorithm based on the color edge detection. Simulation results of the proposed algorithm indicate that the improved edge-adaptive color interpolation scheme produces quantitatively better and visually more pleasing results than conventional approaches.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.177.2-177.2
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• 2011

세계적인 자원고갈과 지구온난화와 같은 환경문제가 발생됨에 따라 대체에너지 개발에 대한 연구가 활발히 이루어지고 있다. 섬유소 기질을 이용한 바이오에탄올 생산은 세계적으로 막대한 자원이 있으며 광합성에 의해 재생산되는 무한한 재원으로서 환경적으로도 대기오염물질을 적게 배출하여 유용한 에너지원으로 각광받고 있다. 하지만 섬유소 기질은 cellulose, hemicellulose, lignin과 같은 고분자 화합물이 유기적으로 결합된 단단한 결정구조로 이루어져 있어 이를 분해하여 원하는 물질을 얻기 위해서는 전처리 과정이 필요하다. 전처리 공정은 바이오에탄올을 생산하는 당화 및 발효공정의 효율 및 반응시간 단축에 기여하며, 특히 섬유소 기질일 경우에는 필수불가결한 공정이다. 전처리 공정은 물리적, 화학적, 생물학적 방법으로 나누어지며, 이러한 방법들 중 기질의 특성과 처리효율에 따라 기술들을 병합하여 사용하기도 한다. 이에 본 연구에서는 산 처리, 암모니아 처리, 과산화수소 처리 및 효소를 이용한 생물학적 처리를 단독 또는 병행하여, 전환된 당 성분 및 함량을 조사함으로서 섬유소계 기질인 채소 음식물류 쓰레기를 대상으로 바이오에탄올을 경제적으로 생산하기 위한 적합한 전처리법을 검토하였다. 전처리 방법별 당화율을 살펴보면, 산 처리와 암모니아-과산화수소-계면활성제 처리가 각각 65.3 % 및 65.7 %로 가장 높았으며, 과산화수소 처리는 16.2 %로 가장 낮았다. 반면 전처리 공정 없이 효소를 이용한 당화만을 실시한 경우에는 4.3 %의 낮은 당화율을 나타내었다. 섬유소계 기질의 전처리 효율을 향상시키기 위해 첨가하는 계면활성제의 효과는 암모니아-과산화수소 및 암모니아-과산화수소-계면활성제 처리의 당화율을 비교한 결과, 뚜렷한 효과를 확인할 수 없었다. 전처리 방법별 당의 성분 및 함량을 비교한 결과 육탄당은 암모니아-과산화수소-계면활성제 전처리에서 가장 많이 검출되었다. 오탄당은 산 처리 후 그 함량이 현저히 높았으며, 오탄당 중 xylose의 함량이 60.49 mg/g로 가장 많이 차지하고 있었다. 이 결과로부터 전처리 방법에 관계없이 당화율은 유사한 수준을 보이지만, 당화된 당의 성분 및 함량에는 큰 차이가 있음을 알 수 있었다. 이당류의 경우 과산화수소 및 암모니아-과산화수소 처리를 제외한 나머지 전처리 방법에서 유사한 수준을 나타내었다. 암모니아 처리 및 과산화수소 처리를 순차적으로 병행한 암모니아-과산화수소 처리에서는 각각의 처리시보다 육탄당의 함량은 증가하였으나 암모니아 처리시보다 이당류의 함량은 감소한 것으로 나타났다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1331-1340
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• 2020

Object detection in maritime means that the captain detects floating objects that has a risk of colliding with the ship using the computer automatically and as accurately as human eyes. In conventional ships, the presence and distance of objects are determined through radar waves. However, it cannot identify the shape and type. In contrast, with the development of AI, cameras help accurately identify obstacles on the sea route with excellent performance in detecting or recognizing objects. The computer must calculate high-volume pixels to analyze digital images. However, the CPU is specialized for sequential processing; the processing speed is very slow, and smooth service support or security is not guaranteed. Accordingly, this study developed maritime object detection software and implemented it with FPGA to accelerate the processing of large-scale computations. Additionally, the system implementation was improved through embedded boards and FPGA interface, achieving 30 times faster performance than the existing algorithm and a three-times faster entire system.