• Title/Summary/Keyword: 판독시간

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An Image Management System of Frame Unit on a Hand-held Device Environments (휴대장치 환경을 위한 프레임 단위의 영상 데이터 관리 시스템)

  • Choi, Jun-Hyeog;Yoon, Kyung-Bae;Han, Seung-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.7
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    • pp.29-36
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    • 2008
  • This paper proposes algorithm for the system that can search for an image of a frame unit, and we implement it. A system already inserts in images after generating the cord that mechanical decoding and identification are possible. We are independent of an external noise in a frame unit, and a system to propose at these papers can search for an image recorded by search condition to include recording date, recording time, a recording place or filming course etc. This system is composed by image insertion wealth to insert data to an image to data image code generation wealth, a frame generating data image code you apply a code generation rule to be fixed in order to express to a price to have continued like data entry wealth, GPS locator values and direction price receiving an image signal, image decoding signals and an image search signal to include search condition, and to have continuity from users each of an image. Also, image decoding we decipher about the noise that was already added from the outsides in a telerecording process, a copy process or storage processes inserted in images by real time, and searching image information by search condition. Consequently we implement decoder, and provide the early system that you use, and we easily insert data code among images. and we can search. and maximization can get precision regarding an image search and use satisfaction as we use algorithm to propose at these papers.

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A Development of Welding Information Management and Defect Inspection Platform based on Artificial Intelligent for Shipbuilding and Maritime Industry (인공지능 기반 조선해양 용접 품질 정보 관리 및 결함 검사 플랫폼 개발)

  • Hwang, Hun-Gyu;Kim, Bae-Sung;Woo, Yun-Tae;Yoon, Young-Wook;Shin, Sung-chul;Oh, Sang-jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.193-201
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    • 2021
  • The welding has a high proportion of the production and drying of ships or offshore plants. Non-destructive testing is carried out to verify the quality of welds in Korea, radiography test (RT) is mainly used. Currently, most shipyards adopt analog-type techniques to print the films through the shoot of welding parts. Therefore, the time required from radiography test to pass or fail judgment is long and complex, and is being manually carried out by qualified inspectors. To improve this problem, this paper covers a platform for scanning and digitalizing RT films occurring in shipyards with high resolution, accumulating them in management servers, and applying artificial intelligence (AI) technology to detect welding defects. To do this, we describe the process of designing and developing RT film scanning equipment, welding inspection information integrated management platform, fault reading algorithms, visualization software, and testing and verification of each developed element in conjunction.

Diagnostic Usefulness of Tc-99m Tetrofosmin Scintimnmmography in Patients with Primary Breast Cancer (유방암 환자에서 Tc-99m Tetrofosmin Scintimammography의 진단적 유용성)

  • Park, Ki-Han;Kim, Chang-Guhn;Yoon, Kwon-Ha;Choi, Si-Sung;Lee, Jong-Deok;Lee, Kwang-Man;Won, Jong-Jin
    • The Korean Journal of Nuclear Medicine
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    • v.33 no.5
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    • pp.452-460
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    • 1999
  • Purpose: The purpose of this study was to evaluate the diagnostic usefulness of scintimammography per-formed with Tc-99m tetrofosmin in the detection of primary breast cancer Materials and Methods: Sixty-one patients underwent Tc-99m tetrofosmin scintimammography, plain-film mammography and ultrasonography. After intravenous injection of Tc-99m tetrofosmin (740 MBq), prone lateral and anterior scintimammograms were obtained. Scintimammogram was visually interpreted as positive, probably positive, probably negative and negative for malignancy. The tumor to background count ratio (T/B) was measured at 5 minutes and 1 hour. Plain-film mammogram was interpreted as one of 5 categories. Final diagnosis was achieved by surgical histology (58/61) or fine needle aspiration (3/61). Of 61 patients, 44 had cancer and 17 had benign lesion. Tumor size of malignant and benign lesions on ultrasonogram were $2.51{\pm}1.30cm$ (range 1-8 cm), $2.50{\pm}1.35cm$ (range 0.96-6 cm), respectively. Results: The sensitivity of plain-film mammography was 88.6%, specificity 58.8%, positive predictive value 84.7%, and negative predictive value 66.7% The sensitivity of Tc-99m tetrofosmin scintimammography was 90.9%; specificity, 88.2%; positive predictive value, 94.9%, negative predictive value, 18.9%. Of 25 patients with indeterminate degree of suspicion for malignancy on plain-film mammogram, 23 were correctly diagnosed by scintimammography. The T/B at 5 minutes and 1 hour were $3.78{\pm}2.21$, $3.25{\pm}1.80$ respectively. The T/B was decreased significantly at 1 hour (p<0.001). Conclusion: Tc-99m tetrofosmin scintimammography was useful dia-gnostic procedure in the detection of primary breast cancer, especially in patients with indeterminate degree of suspicion for malignancy on plain-film mammogram.

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Antimycotic Susceptibility Testing of Trichophyton Rubrum by Microculture Method (96-well microplate를 이용한 Trichophyton Rubrum의 항진균제 감수성검사)

  • Lee, Moo-Woong;Kim, Jong-Chul;Choi, Jong-Soo;Kim, Ki-Hong
    • Journal of Yeungnam Medical Science
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    • v.9 no.2
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    • pp.396-406
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    • 1992
  • Various susceptibility tests have been used to determine minimal inhibition concentration(MIC) of dermatophytes. They have limitations to apply practically because they need long time to determine MIC. Authors examined MIC of T. rubrum to ketoconazole and itraconazole using 96-well microplate and 24-well macroplate by method of Granade and Artis and tried to check the possibility of this method on clinical application. Nine strains of T. rubrum from patients with dermatophytosis were used. Evaluations of the factors affecting MIC were also tried. The results were as follows. 1. Effect of inoculation density on determination time and MIC : Determination of MIC were possible in 4th days after inoculation at higher inoculation density Caborbance 2.0, 1.0) compared to 6th days at lower inoculation density(absorbance 0.5, 0.25). 2. Effect of incubation temperature on MIC : When incubating at $37^{\circ}C$, MIC were below 0.006-$0.04{\mu}g/ml$ to ketokckonazole and below 0.006-$0.04{\mu}g/ml$ to itraconazole while at $25^{\circ}C$ 0.08-$5.68{\mu}g/ml$ to ketoconazole and 0.006-$0.71{\mu}g/ml$ to itraconazole. Significant reduction of MIC was observed at $37^{\circ}C$ compared to $25^{\circ}C$. 3. Effect of container size on determination time and MIC : When incubating in 96-well microplate and 24-well macroplate, determination of MIC was possible in 4th to 6th days after inoculation in broth-containig 96-well microplate compared to 8th to 12th days in broth-containing 24-well macroplate. But no difference in MIC was observed between different container size. 4. Effect of media on MIC : When using broth as media, MIC were below 0.006-$5.68{\mu}g/ml$ to ketoconazole, below 0.006-$0.36{\mu}g/ml$ to itraconazole in broth-containg 24-well macroplate. When using agar as media, MIC were below 0.006-$5.68{\mu}g/ml$ to ketoconzole, below 0.006-$5.68{\mu}g/ml$ to intraconzole in agar-containing 24-well macroplate. There was slight increase of MIC with agar media compared to broth media. 5. These findings confirm that determination of MIC of dermatophtes by method of Granade and Artis is fast and simple technique for antifungal susceptibility test.

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The Comparison between Single Shot Turbo Spin Echo and B-FFE (Balanced Turbo Field-echo) in the Differentiation of Focal Liver Lesions (국소 간병변 감별에서 단발고속스핀에코 기법과 균형항정상 태세차를 이용한 고속영역 기법간의 비교)

  • Kim, Young-Chul;Kim, Myeong-Jin;Cha, Seung-Whan;Chung, Yong-Eun;Han, Kwang-Hyup;Choi, Jin-Sub
    • Investigative Magnetic Resonance Imaging
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    • v.11 no.1
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    • pp.39-48
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    • 2007
  • Purpose : To determine the diagnostic accuracy of four different sequences : moderately T2 weighted, two heavily T2-weighted single shot turbo spin-echo sequence and breath-hold axial-2D balanced turbo field-echo sequence(bFFE) for characterization of focal lesions. Materials and Methods : During the 3-month period between June and August 2005, seventy-six patients were proved to have ninety-three focal hepatic lesions on MR imaging. The patients consisted of 49 men and 27 women (age range, 15-75 years; mean age, 56.23 years). All MR images were acquired on a 1.5-T MR using the following sequences: 1. A breath-hold axial T2-weighted single shot turbo spin-echo sequence, 2. a breath-hold axial-2D balanced turbo field-echo sequence. Two radiologists performed quantitative analysis. Another radiologist measured the lesion-to-liver contrast-to-noise ratio at the region-of-interest in the four sequences. Results : There was no significant difference in inter-observer variability between the four sequences. The accuracy for both cyst and malignancy of moderate T2 weighted MRI (echo time: 80 msec) was also highest. There was significant difference for lesion characterization between moderate T2 weighted MRI and balanced steady state procession (p-value: 0.004) in the second reader. For longer echo time, the CNR of cystic lesions were markedly increased in comparison to lesions of other component. Conclusion : The accuracy and inter-observer variability of single shot turbo spin echo T2 weighted sequence was higher than bFFE. Although there was no statically significant difference, moderate T2 weighted MRI (echo time: 80 msec) was more accurate than heavily T2 weighted sequence (echo time: 300 msec). If the results for lesion characterization is equivocal in TE 80, the addition of heavily T2 weighted MRI (echo time: 180 msec) can be helpful.

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Implementation of OMR Answer Paper Scoring Method Using Image Processing Method (영상처리기법을 활용한 OMR 답안지 채점방법의 구현)

  • Kwon, Hiok-Han;Hwang, Gi-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.3
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    • pp.169-175
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    • 2011
  • In this paper, an automatic scoring system of the OMR answer sheet is implemented using Gray Scale and image segmentation method. The proposed method was used to extract the OMR data on multiple-choice answer sheet from captured image. In addition, On-line scoring system is developed and implemented to mark the short-answer type on the reverse side. Therefore, teachers can mark the short-answer type for anytime and anywhere within the available time. There were many advantages to mark of the multiple-choice answer sheet without additional OMR reader. In the future, the grading of short-answer type will be more efficient if it were performed by using an automatic scoring system based on image processing.

An advanced PRPD Pattern recognition method considering frequency analysis of the PD signals detected in GIS (PD 신호의 주파수 분석이 고려된 GIS 절연 결함 분류를 위한 Advanced PRPD 패턴인식)

  • Park, Jae-Hong;Jung, Seung-Yong;Ryu, Chel-Hwi;Kim, Young-Hong;Lee, Young-Jo;Lim, Yun-Sok;Koo, Ja-Yoon
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1443-1444
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    • 2007
  • 지속적으로 증가되는 전기에너지 공급의 신뢰성을 높이기 위하여 전력설비 주요 사고 원인인 부분방전(PD : Partial Discharge)을 검출하고 결함원의 패턴인식 방법의 개발 필요성 날로 증가되고 있다. 본 논문은 부분방전의 패턴인식 확률을 높이기 위하여 검출된 부분방전의 주파수 분석을 이용하여 Conventional PRPD Analysis 방법의 결함 판독확률을 향상시키기 위하여 Advanced PRPD를 제안 한다. 이를 위하여, GIS(Gas Insulated Switchgear)의 주요 사고원인으로 인식되어 있는 결함들을 인위적으로 제작 후 삽입하여 부분방전을 발생시켜 자체 설계 개발된 UHF 내장형 센서를 이용하여 검출하였다. 새로이 제안하는 방법과 기존의 PRPD 방법의 인식률을 상호 비교하기 위하여, 두 가지 그룹을, 즉, 기존의 방법에 의한 것과 부분방전의 주파수 분석이 포함된 방법에 의한 데이터그룹을 구축하고 학습방법은 동일한 인공신경망 MLP (Multilayer Perceptron)를 이용하여 인식률과 학습시간을 동시에 비교하였다. 상호 비교 결과에 의하면, 후자의 방법이 인식확률 뿐만아니라 학습시간도 좋은 결과가 나타났다.

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Analyzing the internal parameters of a deep learning-based distributed hydrologic model to discern similarities and differences with a physics-based model (딥러닝 기반 격자형 수문모형의 내부 파라메터 분석을 통한 물리기반 모형과의 유사점 및 차별성 판독하기)

  • Dongkyun Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.92-92
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    • 2023
  • 본 연구에서는 대한민국 도시 유역에 대하여 딥러닝 네트워크 기반의 분산형 수문 모형을 개발하였다. 개발된 모형은 완전연결계층(Fully Connected Layer)으로 연결된 여러 개의 장단기 메모리(LSTM-Long Short-Term Memory) 은닉 유닛(Hidden Unit)으로 구성되었다. 개발된 모형을 사용하여 연구 지역인 중랑천 유역을 분석하기 위해 1km2 해상도의 239개 모델 격자 셀에서 10분 단위 레이더-지상 합성 강수량과 10분 단위 기온의 시계열을 입력으로 사용하여 10분 단위 하도 유량을 모의하였다. 모형은 보정과(2013~2016년)과 검증 기간(2017~2019년)에 대한 NSE 계수는각각 0.99와 0.67로 높은 정확도를 보였다. 본 연구는 모형을 추가적으로 심층 분석하여 다음과 같은 결론을 도출하였다: (1) 모형을 기반으로 생성된 유출-강수 비율 지도는 토지 피복 데이터에서 얻은 연구 지역의 불투수율 지도와 유사하며, 이는 모형이 수문학에 대한 선험적 정보에 의존하지 않고 입력 및 출력 데이터만으로 강우-유출 분할과정을 성공적으로 학습하였음을 의미한다. (2) 모형은 연속 수문 모형의 필수 전제 조건인 토양 수분 의존 유출 프로세스를 성공적으로 재현하였다; (3) 각 LSTM 은닉 유닛은 강수 자극에 대한 시간적 민감도가 다르며, 응답이 빠른 LSTM 은닉 유닛은 유역 출구 근처에서 더 큰 출력 가중치 계수를 가졌는데, 이는 모형이 강수 입력에 대한 직접 유출과 지하수가 주도하는 기저 흐름과 같이 응답 시간의 차이가 뚜렷한 수문순환의 구성 요소를 별도로 고려하는 메커니즘을 가지고 있음을 의미한다.

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도로 정보처리와 컴퓨터비죤에 관한 연구

  • Choe, Hyeong-Jin
    • The Magazine of the IEIE
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    • v.15 no.1
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    • pp.106-113
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    • 1988
  • 현재 필자가 소속하고 있는 연구실에서는, 컴퓨터 아니메이숀, 컴퓨터 그래픽, 화상처리, 인공지능에 관한 연구등을 하고 있다. 본고에서는 화상처리에 관한 연구중에서, 본 연구실에서 최근에 발표한 컴퓨터 비죤에 관계있는 각종의 도로 정보처리에 관한 연구에 대해서 소개한다. 우선, 화상처리의 수법을 이용한 자동조종의 연구로서, 고속도로에서의 선행차의 자동동정에 관한 연구와 하프변환을 이용한 차량번호판 추출에 관한 연구에 대해서 소개한다. 다음에 도로망 지도처리에 관한 연구로서, 차재형 자동항법 시스템의 개요에 관한 소개와 최단시간 경로에 관한 연구, 도로지도의 자동판독에 관한 연구에 대해서 소개한다. 가까운 미래에, 점점 자동차의 자동화가 추진되고, 인공위성을 이용해서 자동차의 현재 위치를 정확하게 파악할 수 있게 되면, 본고에서 소개하는 연구들이 보다 중요한 의미를 가지게 되리라 생각한다.

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A speed enhancing method in automatic detection of pulmonary nodules (폐 결절 자동 추출 시스템의 처리 속도 향상 기법)

  • Seong, Won;Park, Jong-Won
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04c
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    • pp.247-249
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    • 2003
  • 일반적으로 방사선 의사들(radialogists)이 폐 결절(pulmonary nodule)을 탐지하는 데는 실제적으로 30% 의 실패율을 가진다고 알려져 있다. 만약 자동화된 시스템이 흉부 영상에서 의심스런 결절들의 위치들을 방사선 의사에게 알려줄 수 있다면 잘못 판단되는 결절들의 수를 잠재적으로 줄일 수 있다. 그리하여 기존의 시스템들은 처리가 어려운 X 선 영상을 좀 더 다루기 쉬운 상태로 바꿔주기 위하여 원래의 영상에 수축(erosion)과 확장(dilation)을 연이어서 행하는 형태학적 필터링(morphological filtering) 처리를 행한다. 그런 다음 결절의 특징을 가려낼 수 있는 추출 기술들을 나름대로 행한다. 그러나, 이 형태학적 필터링 처리는 상당한 처리 시간을 필요로 한다. 이에 본 논문은 형태학적 필터링 처리를 행하지 않고 원래의 흉부 X 선 영상으로부터 직접 결절의 의심지역들을 추출한 후 두가지 특징 추출기술들을 적용시킨다. 그리하여 본 시스템은 결절의 정확한 판독이 어려운 폐의 X 선 영상에 적용되어 false-positive 들을 효과적으로 줄임으로써 보다 효율적인 폐 결절의 추출를 가능하게 하였다.

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