• 한국방사선학회논문지
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• 제16권3호
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• pp.249-255
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• 2022

소동물용 양전자방출단층촬영기기는 매우 작은 장기를 영상화하기 위해 매우 높은 공간분해능을 지닌다. 우수한 공간분해능을 획득하기 위해서는 매우 작은 섬광 픽셀을 사용하여 시스템을 구성해야 한다. 매우 작은 섬광 픽셀을 사용하여 검출기를 구성할 경우 광센서 픽셀에 따라 적용가능한 배열의 크기가 달라진다. 이전 연구에서 광센서 크기에 따른 최대의 섬광 픽셀 배열을 찾는 연구를 수행하였다. 본 연구에서는 더 확장된 섬광 픽셀 배열을 사용하여 검출기를 구성하기 위해 광가이드를 적용한 검출기를 설계하여 모든 섬광 픽셀들이 영상화되는 최대의 배열을 찾고자 한다. 섬광체로 이루어진 검출기의 시뮬레이션이 가능한 DETECT2000을 사용하여 검출기를 설계하였다. 11 × 11 섬광 픽셀 배열에서부터 16 × 16 배열까지 검출기를 구성하여 시뮬레이션을 수행하였다. 섬광 픽셀에서 발생된 빛을 광센서로 수집하여 평면 영상을 획득한 후 영상의 분석을 통해 겹침이 발생하지 않는 최대의 배열을 찾았다. 그 결과 겹침이 발생하지 않고 모든 섬광 픽셀들이 구분 가능한 최대의 배열은 15 × 15 배열이었다.

• 전력전자학회논문지
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• 제12권1호
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• pp.37-49
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• 2007

계통연계형 PV 시스템의 중요한 보호기능인 단독운전 검출기능은 시스템의 안전성 및 전기적 안정성 측면에서 매우 중요하다. 단독운전 검출기법으로는 크게 수동적 방식과 능동적 방식으로 분류되는 다양한 기법들이 있다. 본 연구에서는 IEEE 929-2000에서 제시하는 단독운전 시험조건 하에서 현재 널리 사용되는 능동적 방식 중 무효전력 변동 방식(RPV method)과 능동적 주파수 변동 방식(AFD method)을 채용한 시스템의 연계점에서 주파수 변동 특성을 해석하였다. 그리고 해석결과를 바탕으로 RPV 방식 및 AFD 방식의 설계법을 제시하였다. EMTP를 이용한 시스템 시뮬레이션을 통하여 제안된 해석 및 설계법의 타당성 및 유효성을 검증하였다.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 2000년도 제31회 춘계학술대회
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• pp.68-75
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• 2000

The development of flexible automation in the manufacturing industry is concerned with production activities performed by unmanned machining system. A major topic relevant to metal-cutting operations is monitoring tool wear, which affects process efficiency and product quality, and implementing automatic tool replacements. In this paper, the measurement of the cutting force components has been found to provide a method for an in-process detection of tool wear. Cutting force components are divided into static and dynamic components in this paper, and the static components of cutting force have been used to detect flank wear. To eliminate the influence of variations in cutting conditions, tools, and workpiece materials, the force modeling is performed for various cutting conditions. The normalized force disparities are defined in this paper, and the relationships between normalized disparity and flank wear are established. Finally, Artificial neural network is used to learn these relationships and detect tool wear. According to the proposed method, the static force components could provide the effective means to detect flank wear for varying cutting conditions in turning operation.

• 산업기술연구
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• 제20권A호
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• pp.285-293
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• 2000

In 1970's, the analysis of shallow substructure was the interests of geological engineering and environmental problems. And seismic refraction method was applied to detect those structures. From 1980's, digital electric industry is rapidly developed and high resolution prospecting equipment is supplied. And seismic reflection method is applied to achieve various data gathering and data analysis. In this study, geophysical prospecting method is applied to calculate the basic data of limestone yield production. Seismic shallow reflection method is used to detect the depth of bedrock and electrical resistivity method is used to detect of limestone layer boundary.

• 소음진동
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• 제10권4호
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• pp.642-647
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• 2000

Conventional cepstrum has been widely used to detect echo and fault signals embedded in noise. One of the problems of finding impulse signals using the conventional cepstrum in that it is normally very sensitive to signal to noise ratio (SNR). This paper proposes a signal processing method to detect impulse signal in noisy environment. Because the proposed method minimizes the variance of signal power at a cepstrum domain, it is suggested to be called as minimum variance cepstrum (MV cepstrum). Computer simulations have been performed to understand the characteristics of the MV cepstrum. Both mathematical approach and computer simulations confirmed that the MV cepstrum is a useful technique to detect impulse in noisy environment.

• 아동학회지
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• 제21권1호
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• pp.35-44
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• 2000

This study examined the development of phonological awareness of 3-, 5-, and 7-year-old children, 20 subjects at each age level. The 3-year-olds were given 2 phoneme detection tasks and the 5- and 7-year-olds were given 5 phoneme detection tasks. In each task, the children first heard a target syllable together with 2 other syllables and were asked to tell which of the 2 syllables sounded similar to the target. Children were able to detect relatively large segments ($Consonant_1+Vowel$ or $Vowel+Consonant_2$: $C_1V$ or $VC_2$) at the age of 3 and gradually progressed to smaller sound segments(e.g., phonemes). This study indicated the Korean children detect $C_1V$ segments better than $VC_2$ segments and detect the initial consonant better than the middle vowel and the final consonant.

• 한국정보처리학회논문지
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• 제7권2S호
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• pp.629-637
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• 2000

The content-based information retrieval for a multimedia database uses feature information extracted from the compressed videos. This paper presents an effective method to detect scene changes from compressed videos. Scene changes are detected with DC values of DCT coefficients in MPEG-1 encoded video sequences. Instead of decoding full frames. partial macroblocks of each frame, horizontal and vertical macroblocks, are decoded to detect scene changes. This method detects abrupt scene changes by decoding minimal number of blocks and saves a lot of computation time. The performance of the proposed algorithm is analyzed based on the precision and the recall. The experimental results show the effectiveness in computation time and detection rate to detect scene changes of various MPEG-1 video streams.

• IEIE Transactions on Smart Processing and Computing
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• 제4권5호
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• pp.324-329
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• 2015

A decreased number of readout method is investigated to provide precise pixel information for small-animal positron emission tomography (PET). Small-animal PET consists of eight modules, and each module is composed of a $6{\times}6$ array of $2{\times}2{\times}20mm^3$ lutetium yttrium orthosilicate (LYSO) crystals optically coupled to a $4{\times}4$ array of $3{\times}3mm^2$ silicon photomultipliers (SiPMs). The number of readout channels is reduced by one-quarter that of the conventional method by applying a simplified row and column matrix algorithm. The performance of the PET system and detector module was evaluated with Geant4 Application for Emission Tomography (GATE) 6.1 and DETECT2000 simulations. In the results, all pixels of the $6{\times}6$ LYSO array were decoded well, and the spatial resolution and sensitivity, respectively, of the PET system were 1.75 mm and 4.6% (@ center of field of view, energy window: 350-650 keV).

• Journal of the Korean Physical Society
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• 제73권12호
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• pp.1904-1907
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• 2018

We designed a depth-encoding positron emission tomography (PET) detector by using a bottom and side readout method with a cross-arranged scintillator array. To evaluate the characteristics of the novel detector module, we used the DETECT2000 simulation tool to perform the optical photon transport in the crystal array. The detector module consists of an $M(column){\times}N(row)$ cross-arranged crystal array composed of M/3 sub-arrays consisting of $N{\times}3$ crystals. The second column of the sub-array is arranged perpendicular to the first and the third columns. The crystal is optically coupled to the crystals of the other columns; however, the surfaces between the crystals in the same column are treated as reflectors. A $6{\times}5$ crystal array consisting of two sub-arrays was considered for proof of concept. The two multi-pixel photon counter (MPPC) arrays are coupled to the bottom and one side of the crystal array, respectively. The x-y position is determined by the bottom MPPC array, and the side MPPC array gives depth information. All pixels in the x-y plane and the z direction were clearly distinguished.

• 대한전자공학회논문지SD
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• 제37권4호
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• pp.71-79
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• 2000

기존의 March 알고리즘으로는 내장된 메모리의 CMOS ADOFs(Address Decoder Open Faults)를 점검할 수 없다. 번지 생성 순서 및 데이터 생성을 달리 할 수 있다는 자유도(DOF: Degree of Freedom)에 근거한 수정된 March 알고리즘이 제안되었다. 본 논문에서는 번지생성기로 완전 CA(Cellular Automata)를, 데이터 생성기로 Rl-LFSRs(Randomly Inversed LFSRs)을 사용하여 수정된 March 알고리즘을 개선하였다. 본 알고리즘은 기존의 March 알고리즘에서 점검할 수 있었던 SAF, ADF, CF, TF, 및 CMOS ADOF의 완점점검은 물론, NPSFs(Neighborhood Pattern Sensitive Faults)도 추가로 점검할 수 있으며, 알고리즘의 복잡도는 O(n)을 유지한다.