• Title/Summary/Keyword: 비정상 검출

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Tc-99m MAG3 SPECT on Transplanted Kidney (이식 신장에서 시행한 Tc-99m MAG3 SPECT)

  • Ryu, Jong-Gul;Kim, Soon;Zeon, Seok-Kil
    • The Korean Journal of Nuclear Medicine
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    • v.33 no.6
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    • pp.519-526
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    • 1999
  • Purpose: This study was designed to evaluate the usefulness of a technetium-99m mercaptoacetyltriglycine (Tc-99m MAG3) single photon emission computed tomography (SPECT) performed on transplanted kidney. Materials and Methods: Thirty renal transplant patients were included in this study. Planar scan was performed for 30 minutes using 555 MBq Tc-99m MAG3. A post-voiding SPECT scan was acquired on the third, seventh, fourteenth and twenty eighth day after transplantation. Results: SPECT scan showed interpretable image quality in 26 of 30 patients (86.7%) and 84 in 120 scans (70%). Fourteen of 26 patients with interpretable SPECT image showed decreased or increased radioactivity, but only 5 had abnormal findings on the planar scan. Focal SPECT defects were seen in allografts with normal function (n=3), acute tubular necrosis (n=3), and acute rejection (n=2). The defects are thought to reflect focally underperfused renal parenchyme or, in normal allografts, an artifact from uneven radioactivity distribution. Four of 10 patients with renal arterial variation showed focally decreased radioactivity and SPECT helped guide funker studies that confirmed the exact cause. Five of 10 patients with acute tubular necrosis or acute rejection showed focally decreased radioactivity, but its relation to the patients' clinical course was not clear. Focally increased radioactivity was observed in 5 allografts with normal function and 1 with double ureter in which local clearance delay was observed. Conclusion: Tc-99m MAG3 SPECT renal scan can detect additional focal abnormalities compared to planar scan. Further study is necessary to elucidate the exact clinical significance of the SPECT findings.

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Acoustic Emission Monitoring of Incipient in Journal Bearings - Part I : Detectability and measurement for bearing damages (음향방출을 이용한 저어널 베어링의 조기파손감지(I) - 베어링 손상 형태별 감지능력 및 측정기술 -)

  • Yoon, Dong-Jin;Kwon, Oh-Yang;Chung, Min-Hwa;Kim, Kyung-Woong
    • Journal of the Korean Society for Nondestructive Testing
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    • v.14 no.1
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    • pp.16-22
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    • 1994
  • In contrast to the machineries using rolling element bearings, systems with journal bearings generally operate in large scale and under severe loading condition such as steam generator turbines and internal combustion engines. Failure of the bearings in these machineries can result in the system breakdown. To avoid the time consuming repair and considerable economic loss, the detection of incipient failure in journal bearings becomes very important. In this experimental approach, acoustic emission monitoring is applied to the detection of incipient failure caused by several types of abnormal operating condition most probable in the journal bearing systems. It has been known that the intervention of foreign materials, insufficient lubrication and misassembly etc. are principal factors to cause bearing failure and distress. The experiment was conducted under such designed conditions as hard particles in the lubrication layer, insufficient lubrication, and metallic contact in the simulated journal bearing system. The results showed that acoustic emission could be an effective tool to detect the incipient failure in journal bearings.

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Three-Phase Z-Source Hybrid Active Power Filter System (3상 Z-소스 하이브리드 능동전력필터 시스템)

  • Lim, Young-Cheol;Kim, Jae-Hyun;Jung, Young-Gook
    • The Transactions of the Korean Institute of Power Electronics
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    • v.15 no.1
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    • pp.75-85
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    • 2010
  • In this paper, a Z-source hybrid active power filter is proposed to compensate the harmonics and reactive power in power distribution system. The proposed system is composed of a 7th harmonics-tuned passive filter and an active power filter with a Z-source inverter topology, while voltage source PWM inverter or current source PWM inverter are applied as the power converter topology of conventional active power filters. The Z-source impedance network along with shoot through capability would ensure a constant DC voltage across the DC link. A polymer electrolyte membrane fuel cell is employed as an compensation DC energy source of the proposed system and its equivalent R-L-C circuit is modeled for simulation. As the compensation and control algorithm of the proposed system, the current synchronous detection algorithm is applied. The simulation analysis by PSIM is performed under the three-phase 220V/60Hz voltage source and 25A nonlinear diode loads. The effectiveness of the proposed the system is verified in the steady and transient states.

Fast Algorithm for Recognition of Korean Isolated Words (한국어 고립단어인식을 위한 고속 알고리즘)

  • 남명우;박규홍;정상국;노승용
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.1
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    • pp.50-55
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    • 2001
  • This paper presents a korean isolated words recognition algorithm which used new endpoint detection method, auditory model, 2D-DCT and new distance measure. Advantages of the proposed algorithm are simple hardware construction and fast recognition time than conventional algorithms. For comparison with conventional algorithm, we used DTW method. At result, we got similar recognition rate for speaker dependent korean isolated words and better it for speaker independent korean isolated words. And recognition time of proposed algorithm was 200 times faster than DTW algorithm. Proposed algorithm had a good result in noise environments too.

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A Study on Implementation of Fraud Detection System (FDS) Applying BigData Platform (빅데이터 기술을 활용한 이상금융거래 탐지시스템 구축 연구)

  • Kang, Jae-Goo;Lee, Ji-Yean;You, Yen-Yoo
    • Journal of the Korea Convergence Society
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    • v.8 no.4
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    • pp.19-24
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    • 2017
  • The growing number of electronic financial transactions (e-banking) has entailed the rapid increase in security threats such as extortion and falsification of financial transaction data. Against such background, rigid security and countermeasures to hedge against such problems have risen as urgent tasks. Thus, this study aims to implement an improved case model by applying the Fraud Detection System (hereinafter, FDS) in a financial corporation 'A' using big data technique (e.g. the function to collect/store various types of typical/atypical financial transaction event data in real time regarding the external intrusion, outflow of internal data, and fraud financial transactions). As a result, There was reduction effect in terms of previous scenario detection target by minimizing false alarm via advanced scenario analysis. And further suggest the future direction of the enhanced FDS.

Multi-sensor Fusion Filter for the Flight Safety System of a Space Launch Vehicle (우주발사체 비행안전시스템을 위한 다중센서 융합필터 구현)

  • Ryu, Seong-Sook;Kim, Jeong-Rae;Song, Yong-Kyu;Ko, Jeong-Hwan;Choi, Kyu-Sung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.2
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    • pp.156-165
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    • 2009
  • Threat due to malfunction of space launch vehicles is significant since it is bigger and flights longer range than military missiles or scientific rockets. It is necessary to implement a flight safety system to minimize the possible hazard. Design objective of the tracking filter for the flight safety system is different from conventional tracking filters since estimation reliability is more emphasized than estimation accuracy. In this paper, a fusion tracking filter was implemented for processing multi-sensor data from a space launch vehicle. The filter performance is evaluated by analyzing the error of the estimated position and instantaneous impact point. Also a fault detection algorithm is implemented to guarantee fusion filter's reliability under any sensor failure and verified to maintain stability successfully.

Development of Dual-mode Signal Processing Module for Multi-slit Prompt-gamma Camera (다중 슬릿 즉발감마선 카메라를 위한 이중모드 신호처리 모듈 개발)

  • Park, Jong Hoon;Lee, Han Rim;Kim, Sung Hun;Kim, Chan Hyeong;Shin, Dong Ho;Lee, Se Byeong;Jeong, Jonh Hwi
    • Progress in Medical Physics
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    • v.27 no.1
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    • pp.37-45
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    • 2016
  • In proton therapy, in vivo proton beam range verification is very important to deliver conformal dose to the target volume and minimize unnecessary dose to normal tissue. For this purpose, a multi-slit prompt-gamma camera module made of 24 scintillation detectors and 24-channel signal processing system is under development. In the present study, we have developed and tested a dual-mode signal processing system, which can operate in the energy calibration mode and the fast data acquisition mode, to process the signals from the 24 scintillation detectors. As a result of performance test, using the energy calibration mode, we were able to perform energy calibration for the 24 scintillation detectors at the same time and determine the discrimination levels for the detector channels. Further, using the fast data acquisition mode, we were able to measure a prompt-gamma distribution induced by a 45 MeV proton beam. The measured prompt gamma distribution was found similar to the proton dose distribution at the distal fall-off region, and the estimated beam range was $17.13{\pm}0.76mm$, which is close to the proton beam range of 16.15 mm measured by an EBT film.

LSTM Hyperparameter Optimization for an EEG-Based Efficient Emotion Classification in BCI (BCI에서 EEG 기반 효율적인 감정 분류를 위한 LSTM 하이퍼파라미터 최적화)

  • Aliyu, Ibrahim;Mahmood, Raja Majid;Lim, Chang-Gyoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.6
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    • pp.1171-1180
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    • 2019
  • Emotion is a psycho-physiological process that plays an important role in human interactions. Affective computing is centered on the development of human-aware artificial intelligence that can understand and regulate emotions. This field of study is also critical as mental diseases such as depression, autism, attention deficit hyperactivity disorder, and game addiction are associated with emotion. Despite the efforts in emotions recognition and emotion detection from nonstationary, detecting emotions from abnormal EEG signals requires sophisticated learning algorithms because they require a high level of abstraction. In this paper, we investigated LSTM hyperparameters for an optimal emotion EEG classification. Results of several experiments are hereby presented. From the results, optimal LSTM hyperparameter configuration was achieved.

Design of a Multi-Sensor Data Simulator and Development of Data Fusion Algorithm (다중센서자료 시뮬레이터 설계 및 자료융합 알고리듬 개발)

  • Lee, Yong-Jae;Lee, Ja-Seong;Go, Seon-Jun;Song, Jong-Hwa
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.34 no.5
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    • pp.93-100
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    • 2006
  • This paper presents a multi-sensor data simulator and a data fusion algorithm for tracking high dynamic flight target from Radar and Telemetry System. The designed simulator generates time-asynchronous multiple sensor data with different data rates and communication delays. Measurement noises are incorporated by using realistic sensor models. The proposed fusion algorithm is designed by a 21st order distributed Kalman Filter which is based on the PVA model with sensor bias states. A fault detection and correction logics are included in the algorithm for bad data and sensor faults. The designed algorithm is verified by using both simulation data and actual real data.

HPAI가 오리산업에 미친 영향은?

  • 한국오리협회
    • Monthly Duck's Village
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    • s.215
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    • pp.8-13
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    • 2021
  • 고병원성조류인플루엔자가 지난 4월 6일 전남 장흥에서 마지막으로 발생한 이후 한달 이상 추가 발생이 없어 종식단계에 접어들었다. 지난해 11월 26일 최초 발생한 고병원성조류인플루엔자는 235일간 가금농장에서 106건, 관상용 2건을 비롯해 야생조류에서 234건이 검출됐고, 이로 인해 487농가에서 3천만수에 육박하는 가금류가 살처분됐다. 이중 오리는 육용오리 96농가 184만9천수, 종오리 23농가 184천수가 살처분됐다. 특히 종오리의 경우 농가수로는 35%가 피해를 입었으며 사육수수로는 4월말 현재 산란종 오리수가 전년대비 17.1%가 줄어들었으며 평년에 비해서는 30% 가까이 줄어들었다. 때문에 당분간 육용오리 생산에 차질이 불가피하며 살처분 농가들의 입식도 늦어질 것으로 예상되고 있다. 이처럼 고병원성조류인플루엔자 발생으로 인해 국내 오리산업은 큰 피해를 입었으며 정상으로 회복하기까지는 상당한 시일이 소요될 것으로 예상된다. 우리나라 뿐만 아니라 전 세계적으로도 고병원성조류인플루엔자로 인해 몸살을 앓고 있다. 아시아는 물론 유럽, 아프리카, 북아메리카까지 고병원성 조류인플루엔자가 지속적으로 발생하고 있기 때문이다. 전 세계적인 고병원성조류인플루엔자 발생은 장기적으로 국내 오리산업에도 악영향을 미칠것으로 예상되고 있다. 원종오리를 수입하고 있는 영국 등에서도 고병원성조류인플루엔자가 발생함에 따라 가금류의 수입이 중단되면서 장기적으로 종오리 수급에도 차질이 예상되기 때문이다. 이에 이번호에서는 앞으로의 종오리 수급 현황 및 전망에 대해 살펴봤다.

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