• 제목/요약/키워드: Real-time detection and diagnosis

검색결과 208건 처리시간 0.03초

기계식 주차설비 원격 고장감시 및 진단 시스템 구현 (A study on remote monitoring & diagnosis system for tower parting facility)

  • 이원태;차정섭;이재조;김관호;김박의
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.3184-3186
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    • 2000
  • This paper describes the remote monitoring & diagnosis system of tower parking facilities. This system consists of central station, monitoring equipments and parking system control panel. The central station is developed under client/server architecture, and the monitoring systems are connected to central station by LAN using RAS constructed PSTN. This system offers real-time fault detection and data acquisition of tower parking system.

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Deep Learning-Based Artificial Intelligence for Mammography

  • Jung Hyun Yoon;Eun-Kyung Kim
    • Korean Journal of Radiology
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    • 제22권8호
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    • pp.1225-1239
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    • 2021
  • During the past decade, researchers have investigated the use of computer-aided mammography interpretation. With the application of deep learning technology, artificial intelligence (AI)-based algorithms for mammography have shown promising results in the quantitative assessment of parenchymal density, detection and diagnosis of breast cancer, and prediction of breast cancer risk, enabling more precise patient management. AI-based algorithms may also enhance the efficiency of the interpretation workflow by reducing both the workload and interpretation time. However, more in-depth investigation is required to conclusively prove the effectiveness of AI-based algorithms. This review article discusses how AI algorithms can be applied to mammography interpretation as well as the current challenges in its implementation in real-world practice.

Diagnosis of Helicobacter pylori Infection

  • Tongtawee, Taweesak;Kaewpitoon, Soraya;Kaewpitoon, Natthawut;Dechsukhum, Chavaboon;Leeanansaksiri, Wilairat;Loyd, Ryan A;Matrakool, Likit;Panpimanmas, Sukij
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권4호
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    • pp.1631-1635
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    • 2016
  • Helicobacter pylori infection plays an important role in the pathogenesis of chronic gastritis, peptic ulcer disease and gastric malignancy. A diagnosis of infection is thus an important part of a treatment strategy of many gastrointestinal tract diseases. Many diagnostic tests are available but all have some limitations in different clinical situations and laboratory settings. A single gold standard cannot available, but be used for diagnosis of Helicobacter pylori infection in daily clinical practice in all areas, so several techniques have been developed to give reliable results, especially focusing on real time endoscopic features. The narrow band imaging system (NBI) and high resolution endoscopy are imaging techniques for enhanced visualization of infected mucosa and premalignant gastric lesions. The aim of this article is to review the current diagnostic options and possible future developments detection of Helicobacter pylori infection.

모의 변압기의 VHF/UHF PD 스펙트럼 분석 (Spectrum Analysis of VHF/UHF PD in Simulated Transformer)

  • 김덕근;김종서;임용배;임장섭;문채주
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2000년도 춘계학술대회 논문집 유기절연재료 방전 플라즈마
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    • pp.50-54
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    • 2000
  • Recently, the HFPD measurement testing is widely used in partial discharge measurement of HV machines because HFPD measurement testing receives less influence of external noise and has a merit of good sensitivity. Also HFPD testing is able to offer the judgement standard of degradation level of HV machine and can detect discharge signals in live-line. Therefore it is very useful method compare to previous conventional PD testing method and effective diagnosis method in power transformer that requires live-line diagnosis. But partial discharges have very complex characteristics of discharge pattern so it is required continuous research to development of precise analysis method. In recent, the study of partial discharge is carrying out discover of initial defect of power equipment through condition diagnosis and system development of degradation diagnosis using HFPD(High Frequency Partial Discharge) detection. In this study, simulated transformer is manufactured and HFPD occurred from transformer is measured with broad band antenna in real time, the degradation grade of transformer is analyzed through produced patterns in simulated transformer according to applied voltages.

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3d-PD의 통계적 고찰과 신경망 응용기술 (The Application Technique on AI and Statistical Analysis of 3d-PD)

  • 임장섭;박용식;최병하;한석균
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2001년도 춘계학술대회 논문집 센서 박막재료
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    • pp.66-70
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    • 2001
  • The partial discharge testing is widely used in diagnostic measuring technology because it gives low stress to power equipment which is undertaken tests. Therefore it is very useful method compare to previous destructive methods and effective diagnosis method in power system that requires on-line/on-site diagnosis. But partial discharges have very complex characteristics of discharge pattern, so it is required continuous research to development of precise analysis method. In recent, the study of partial discharge is carrying out discover of initial defect of power equipment through condition diagnosis and system development of degradation diagnosis using HFPD(High Frequency Partial Discharge) detection. In this study, simulated system is manufactured and HFPD occurred from those simulator is measured with broad-band antenna in real time, the degradation grade of system is analyzed through produced patterns in simulated target according to the AI/statistics processing.

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An Inexpensive System for Rapid and Accurate On-site Detection of Garlic-Infected Viruses by Agarose Gel Electrophoresis Followed by Array Assay

  • Kazuyoshi Furuta;Shusuke Kawakubo;Jun Sasaki;Chikara Masuta
    • The Plant Pathology Journal
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    • 제40권1호
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    • pp.40-47
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    • 2024
  • Garlic can be infected by a variety of viruses, but mixed infections with leek yellow stripe virus, onion yellow dwarf virus, and allexiviruses are the most damaging, so an easy, inexpensive on-site method to simultaneously detect at least these three viruses with a certain degree of accuracy is needed to produce virus-free plants. The most common laboratory method for diagnosis is multiplex reverse transcription polymerase chain reaction (RT-PCR). However, allexiviruses are highly diverse even within the same species, making it difficult to design universal PCR primers for all garlic-growing regions in the world. To solve this problem, we developed an inexpensive on-site detection system for the three garlic viruses that uses a commercial mobile PCR device and a compact electrophoresis system with a blue light. In this system, virus-specific bands generated by electrophoresis can be identified by eye in real time because the PCR products are labeled with a fluorescent dye, FITC. Because the electrophoresis step might eventually be replaced with a lateral flow assay (LFA), we also demonstrated that a uniplex LFA can be used for virus detection; however, multiplexing and a significant cost reduction are needed before it can be used for on-site detection.

영구자석 동기전동기 드라이브의 확장형 칼만필터를 이용한 개방성 고장진단 기법 (Fault Diagnosis Scheme for Open-Phase Fault of Permanent Magnet Synchronous Motor Drive using Extended Kalman Filter)

  • 안성국;박병건;김래영;현동석
    • 전력전자학회논문지
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    • 제16권2호
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    • pp.191-198
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    • 2011
  • 본 논문에서는 영구자석 동기전동기 구동용 인버터 스위치에서 개방성 고장이 발생하여도 구동 성능을 유지하기 위한 고장진단 기법이 제안 되었다. 제안한 고장진단 기법은 확장형 칼만필터에 의해 실시간으로 추정된 고정자 저항이 개방성 고장발생 시 고장발생 위치에 따라서 다르게 추정되는 것을 이용하여 고장을 진단한다. 고장진단을 위한 제어 알고리즘을 별도의 하드웨어 구성없이 기존의 제어 프로그램에 추가함으로써 비용을 저감 시킬 수 있으며 추정된 고정자 저항은 상수 변동에 영향을 받는 제어기의 전동기 상수로 사용함으로써 제어 성능을 향상 시킬 수 있다. 제안한 고장진단 기법의 타당성은 시뮬레이션과 실험을 통하여 검증하였다.

Pregnancy diagnosis in goat by using vaginal cytology and trans-abdominal ultrasonography

  • Ali, Md. Aziz;Islam, Md. Faruk;Rahman, SM Latifur;Zohara, Begum Fatema
    • 한국동물생명공학회지
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    • 제35권4호
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    • pp.338-346
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    • 2020
  • The present study was conducted in a goat farm for pregnancy diagnosis by using vaginal cytology and B-mode real time ultrasound using 5 MHz probe by transabdominal method. Seventeen pregnant does were used for this study. The objective of the study was to determine the earliest day of pregnancy and describe the chronological characteristics of pregnancy from day 22 to day 40 for vaginal cytology and day 25 to day 60 for ultrasonography of gestation. The differences among the average percentage of cell value in different age of pregnancy were significant (p < 0.05). The average percentage of intermediate cells (81.12%) was also significantly (p < 0.05) higher than superficial (9.41%), keratinized (7.10%) and neutrophil (2.61%) on 22-40th days of pregnancy. In case of real time B-mode ultrasonography, the gestational sac was observed only in three does out of seventeen (17.6 %) at 25-30 days whereas the placentomes and heart beat of the foetus were first detected at 31-35 days in six does (35.3%). The foetal leg buds were first visualized at 36-40 days in four does (23.5%) whereas the foetal vertebral column was first observed at 36-40 days of gestation in only three does (17.6%). In conclusion, vaginal cytology and trans-abdominal ultrasonography can be used for detection of early pregnancy in does.

절삭조건과 절삭력 파라메타를 이용한 공구상태 진단에 관한 연구(I) - 신호처리 및 특징추출 - (A Study on the Diagnosis of Cutting Tool States Using Cutting Conditions and Cutting Force Parameters(l) - Signal Processing and Feature Extraction -)

  • Cheong, C.Y.;Yu, K.H.;Suh, N.S.
    • 한국정밀공학회지
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    • 제14권10호
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    • pp.135-140
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    • 1997
  • The detection of cutting tool states in machining is important for the automation. The information of cutting tool states in metal cutting process is uncertain. Hence a industry needs the system which can detect the cutting tool states in real time and control the feed motion. Cutting signal features must be sifted before the classification. In this paper the Fisher's linear discriminant function was applied to the pattern recognition of the cutting tool states successfully. Cutting conditions and cutting force para- meters have shown to be sensitive to tool states, so these cutting conditions and cutting force paramenters can be used as features for tool state detection.

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신경회로망을 이용한 시스템의 실시간 고장감지 및 진단 방법 (The On-Line Fault Detection and Diagnostic Testing of Systems using Neural Network)

  • 정진구
    • 한국컴퓨터정보학회논문지
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    • 제3권2호
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    • pp.147-154
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    • 1998
  • 건물에서 사용되는 시스템 기술이 발전됨에 따라 프로세서와 시스템을 운영자가 이해 하기가 어려워지고 있다. 복잡한 시스템 설비를 운영할 때, 시스템 고장 처리를 위한 결정을 도울 수 있는 도구가 운영자에게 제공되면 설비를 관리하는데 유리하다. 따라서 본논문의 주요 목적은 IBS 건물을 최적으로 운전하기 위한 실시간 자동 에러 검출 및 진단시스템을 개발하는 데 있다.

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