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Acute Abdominal Aortic Occlusion after Open Heart Surgery - A case report - (개심술 후에 발생한 급성 복부 대동맥 차단 -1예 보고-)

  • Han, Won-Kyung;Cho, Joon-Yong;Lee, Jong-Tae
    • Journal of Chest Surgery
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    • v.38 no.10 s.255
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    • pp.710-713
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    • 2005
  • Acute abdominal Aortic occlusion is rare but it is a vascular emergency with high mortality and morbidity. There­fore, delay in diagnosis can have severe impact on the prognosis. A 60-year-old women complained of paresthesia, paralysis, and severe pain in bilateral lower extremities on 13th day after open heart surgery for mitral stenosis, atrial fibrillation, coronary arterial stenosis, tricuspid regurgitation, and atrial septal defect. Her skin was mottled and cool from the umbilicus to the feet, and there were no palpable pulses in the lower exteremities. We diagnosed an acute abdominal aortic occlusion using the Multi-Detector Row Spiral Computed Tomography and successfully treated the problem with emergent thrombo-embolectomy and Aortobifemoral bypass.

Distortion invariant pattern recognition using Modified synthetic HMT (수정 합성 HMT를 이용한 왜곡불변 패턴 인식)

  • 현영길;김종찬;김정우;도양회;김수중
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.7B
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    • pp.1361-1369
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    • 1999
  • A hit-miss transform(HMT) using modified synthetic structuring elements(SEs) for distortion-invariant recognition of multiple objects is proposed. A fundamental problem in an HMT is the determination of the optimal SE needed to improve the false alarm rate, and detect distorted objects with various shapes. The proposed synthetic methods of SE provide good solutions against this problem. One is the multistage synthesis of each true class SE using only set theory, and the other is the multistage synthesis of each true class and false class SE using set theory and SDF(synthetic discriminant function) synthesis method. Simulation results show the proposed methods can be used for the recognition of distorted intraclass objects and the discrimination of similar interclass objects.

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Face Detection Using Multi-level Features for Privacy Protection in Large-scale Surveillance Video (대규모 비디오 감시 환경에서 프라이버시 보호를 위한 다중 레벨 특징 기반 얼굴검출 방법에 관한 연구)

  • Lee, Seung Ho;Moon, Jung Ik;Kim, Hyung-Il;Ro, Yong Man
    • Journal of Korea Multimedia Society
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    • v.18 no.11
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    • pp.1268-1280
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    • 2015
  • In video surveillance system, the exposure of a person's face is a serious threat to personal privacy. To protect the personal privacy in large amount of videos, an automatic face detection method is required to locate and mask the person's face. However, in real-world surveillance videos, the effectiveness of existing face detection methods could deteriorate due to large variations in facial appearance (e.g., facial pose, illumination etc.) or degraded face (e.g., occluded face, low-resolution face etc.). This paper proposes a new face detection method based on multi-level facial features. In a video frame, different kinds of spatial features are independently extracted, and analyzed, which could complement each other in the aforementioned challenges. Temporal domain analysis is also exploited to consolidate the proposed method. Experimental results show that, compared to competing methods, the proposed method is able to achieve very high recall rates while maintaining acceptable precision rates.

User Identification Method using Palm Creases and Veins based on Deep Learning (손금과 손바닥 정맥을 함께 이용한 심층 신경망 기반 사용자 인식)

  • Kim, Seulbeen;Kim, Wonjun
    • Journal of Broadcast Engineering
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    • v.23 no.3
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    • pp.395-402
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    • 2018
  • Human palms contain discriminative features for proving the identity of each person. In this paper, we present a novel method for user verification based on palmprints and palm veins. Specifically, the region of interest (ROI) is first determined to be forced to include the maximum amount of information with respect to underlying structures of a given palm image. The extracted ROI is subsequently enhanced by directional patterns and statistical characteristics of intensities. For multispectral palm images, each of convolutional neural networks (CNNs) is independently trained. In a spirit of ensemble, we finally combine network outputs to compute the probability of a given ROI image for determining the identity. Based on various experiments, we confirm that the proposed ensemble method is effective for user verification with palmprints and palm veins.

Development of Ultrasound Sector B-Scanner(III)-Pulsed Ultrasonic Doppler System- (초음파 섹터 B-스캐너의 개발(III)-초음파 펄스 도플러 장치-)

  • 백광렬;안영복
    • Journal of Biomedical Engineering Research
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    • v.7 no.2
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    • pp.139-146
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    • 1986
  • Pulsed ultrasonic Doppler system is a useful diagnostic instrument to measure blood-flow-velocity, velocity profile, and volume-blood-flow. This system is more powerful compare with 2-dimensional B-scan tissue image. A system has been deve- loped and ii being evaluated using TMS 32010 DSP. We use this DSP for the purpose of real-time spectrum analyzer to obtain spectrogram in singlegate pulsed Doppler system and for the serial comb filter to cancel clutter and zero crossing counter to estimate Doppler mean frequency in multigate pulsed Doppler system. The Doppler shift of the backscattered signals is sensed in a phase detector. This Doppler signal corresponds to the mean velocity over a some region in space defined by the ultrasonic beam dimensions, transmitted pulse duration, and transducer ban(iwidth. Multi- gate pulsed Doppler system enable the transcutaneous and simultaneous assessment of the velocities in a number of adjacent sample volumes as a continuous function of time. A multigate pulsed Doppler system processing the information originating from presented.

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Automatic Multi-threshold Detection Algorithm for the Segmentation of Echocardiographic Images (심초음파 영상의 영역 분류를 위한 다중 문턱치 자동 검출 알고리듬)

  • Choi, Chang-Hou;Koo, Sung-Mo;Kim, Myoung-Nam;Cho, Sung-Mok;Cho, Jin-Ho
    • Proceedings of the KOSOMBE Conference
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    • v.1994 no.12
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    • pp.39-42
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    • 1994
  • An automatic multi-threshold algorithm for segmentation of 2D ultrasound images based on average filtering and the characteristics of speckle noise in 2D ultrasound image is proposed. To do this, we investigate the histogram of difference between $7{\times}7$ averaging histogram and $3{\times}3$ averaging histogram. And, we find zero crossing points in the positive portion of the differenced histogram and select middle points of the zero crossing points. We assign these selected points to characteristic points. The thresholds are the center of two characteristic points. Then we segment 2D ultrasound image by using these thresholds and extract edges from applying edge operator to optimal segmented image. Experimental results show that the segmented regions are devided accurately around the homogeneous region.

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A Development of Ultrasonic Defect Analysis Program for Composite Motor Case (복합재 연소관의 초음파 결함 분석 프로그램 개발)

  • Kim, Dong-Ryun;Lim, Soo-Yong;Chung, Sang-Ki;Lee, Kyung-Hoon
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.11a
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    • pp.393-399
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    • 2011
  • A defect analysis program of the composite motor case was developed to apply the ultrasonic signal processing method on basis of the ultrasonic pulse-echo method and the defects of FRP delamination and FRP/Rubber disbond in the composite motor case could be quantitatively measured. The defects detected in the composite motor case were in agreement with the results measured with the computed tomography and video microscope. This paper was described about the development process of the defect analysis program to convert the ultrasonic test data into the C-Scan image.

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A Study on Digital Information Hiding Technique using Random Sequence and Hadamard Matrix (랜덤시퀀스와 Hadamard 행렬을 이용한 디지털 정보은폐 기술에 관한 연구)

  • 김장환;김규태;김은수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.9A
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    • pp.1339-1345
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    • 1999
  • In this paper we propose the digital information hiding technique by which we use the combination of random sequence and Hadamard matrix to hide multiple information. The prior work used only one random sequence multiplied by information signal to lower the energy level of information signal and thus it is difficult for a third party to detect the information signal or jam it. But because we have to use the orthogonal code for hiding key in order to hide multiple information in the same digital image, only the use of random sequence that are not uncorrelated has some problems in the information hiding scheme. Thus we present a new information hiding scheme that can be used in hiding multiple information by the use of random sequence that spreads the energy level of the data to be hidden and Hadamard matrix that makes the random sequence uncorrelated.

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Temperature Measurement Using Single-Mode Fiber Interferometric Sensor (단일모드 광섬유의 간섭계 센서를 이용한 온도측정)

  • 김덕수;이상호
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.2
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    • pp.1-5
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    • 1985
  • In this paper, temperature-induced optical phase shifts in single-mode fibers are studied both analytically and experimentally. Temperature sensor using single-mode fiber interferometer is designed and the temperature sensitivity of the sensor system is investigated. This fiber-optic temperature sensor which employs the Mach-Zehnder arrangement is a high sensitivity sensor of phase detection type. In this type, temperature changes are ob-served as a motion of an optical interference fringe pattern. In the measurements using interferometer, one of the important problems is to detect simultaneously the number and direction of fringe displacement resulting from physical perturbations (temperature, pressure, etc.). To realize this, the array detector using multi-mode fiber is designed. By this array detector the number and direction of fringe displacement is Ineasured very conveniently.

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Fast CA-CFAR Processor Design with Low Hardware Complexity (하드웨어 복잡도를 줄인 고속 CA-CFAR 프로세서 설계)

  • Hyun, Eu-Gin;Oh, Woo-Jin;Lee, Jong-Hun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.5
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    • pp.123-128
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    • 2011
  • In this paper, we design the CA-CFAR processor using a root-square approximation approach and a fixed-point operation to improve hardware complexity and reduce computational effort. We also propose CA-CFAR processor with multi-window, which is capable of concurrent parallel processing. The proposed architecture is synthesized and implemented into the FPGA and the performance is compared with the conventional processor designed by root-square libarary licensed by FPGA corporation.