• 제목/요약/키워드: Quick Detection

검색결과 216건 처리시간 0.025초

Quick Real-time PCR을 이용한 Avian Influenza Virus Subtype H5N1의 신속검출법 (Rapid Detection Method of Avian Influenza Subtype H5N1 using Quick Real-Time PCR)

  • 김을환;이동우;한상훈;권순환;윤병수
    • 미생물학회지
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    • 제43권1호
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    • pp.23-30
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    • 2007
  • 조류 인플루엔자바이러스(AIV) H5N1 아형을 Real-time PCR법을 이용하여 가장 빠르게 진단할 수 있는 방법을 개발하였다. 검색 대상의 염기서열은 AIV H5N1 아형의 hemagglutinin 유전자 중 가장 상동성이 높은 387 bp의 부위를 선택하였고, 실험의 안전을 위하여 인공합섬의 방법으로 제작하였다. Microchip을 기반으로 한Real-time PCR법을 사용하였으며, 총PCR 반응액의 양을 $1{\mu}l$로, PCR 과정 중 각 단계, 즉 해리, 접합, 신장의 시간을 각1초, 1초, 3초로 하여 총 실험시간을 단축하였다. 진단을 위한 실험과정에서 PCR 및 융점분식에 소요된 최단 시간은 12분28초였으며, 민감도측정에서 최소2.4개의 hemaggutinin 유전자를 기질로 하여 목적한 특이 189 bp의 PCR 산물을 증폭할 수 있었기에, 본 연구에서는 이런 초고속 PCR 실험방식을 Quick Real-time PCR이라 명명하였다. 이 결과들은 가금류 및 사람에게 전파된 AIV H5N1아형의 진단에 적용될 수 있을 뿐 아니라, PCR이 사용되는 다른 신속검색법에도 널리 적용 될 수 있을 것으로 기대한다.

새로운 Free Rectangle 특징을 사용한 Adaboost 기반 얼굴검출 방법 (A Face Detection Method Based on Adaboost Algorithm using New Free Rectangle Feature)

  • 홍용희;한영준;한헌수
    • 한국컴퓨터정보학회논문지
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    • 제15권2호
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    • pp.55-64
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    • 2010
  • 본 논문은 수행시간이 빠르면서 효율성이 높은 새로운 Free Rectangle 특징을 사용한 Adaboost 알고리즘 기반 얼굴 검출 방법을 제안한다. 제안하는 Free Rectangle 특징은 동일한 면적의 분리가 가능한 두 개의 사각형으로 구성된 마스크로부터 정의된다. Haar-like 특징은 다양성을 높이기 위해 일반적으로 두 개 이상의 사각 영역으로 구성한 복잡한 마스크 구조를 갖는다. 하지만, 제안하는 특징 마스크는 두 사각형이 특징 윈도우 안에 놓이는 위치와 크기에 따라 효율성이 좋은 다양한 특징을 얻을 수 있다. 또한 제안하는 특징은 일반 Haar-like 특징과 달리 마스크 형태에 상관없이 두 사각 영역의 화소 합의 차만 계산함으로 수행 시간을 크게 줄일 수 있다. 실세계 영상에서 제안하는 Adaboost 알고리즘 기반 얼굴 검출 기법은 빠른 검출 속도와 높은 검출 결과를 보여 학습 데이터만을 바꿔 다른 물체 검출에도 쉽게 적용이 가능하다.

A Field Deployable Real-Time Loop-Mediated Isothermal Amplification Targeting Five Copy nrdB Gene for the Detection of 'Candidatus Liberibacter asiaticus' in Citrus

  • Tirumalareddy Danda;Jong-Won Park;Kimberly L. Timmons;Mamoudou Setamou;Eliezer S. Louzada;Madhurababu Kunta
    • The Plant Pathology Journal
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    • 제39권4호
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    • pp.309-318
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    • 2023
  • Huanglongbing (HLB) is one of the most destructive diseases in citrus, which imperils the sustainability of citriculture worldwide. The presumed causal agent of HLB, 'Candidatus Liberibacter asiaticus' (CLas) is a non-culturable phloem-limited α-proteobacterium transmitted by Asian citrus psyllids (ACP, Diaphorina citri Kuwayama). A widely adopted method for HLB diagnosis is based on quantitative real-time polymerase chain reaction (qPCR). Although HLB diagnostic qPCR provides high sensitivity and good reproducibility, it is limited by time-consuming DNA preparation from plant tissue or ACP and the requirement of proper lab instruments including a thermal cycler to conduct qPCR. In an attempt to develop a quick assay that can be deployed in the field for CLas detection, we developed a real-time loop-mediated isothermal amplification (rt-LAMP) assay by targeting the CLas five copy nrdB gene. The rt-LAMP assay using various plant sample types and psyllids successfully detected the nrdB target as low as ~2.6 Log10 copies. Although the rt-LAMP assay was less sensitive than laboratory-based qPCR (detection limit ~10 copies), the data obtained with citrus leaf and bark and ACP showed that the rt-LAMP assay has >96% CLas detection rate, compared to that of laboratory-based qPCR. However, the CLas detection rate in fibrous roots was significantly decreased compared to qPCR due to low CLas titer in some root DNA sample. We also demonstrated that the rt-LAMP assay can be used with a crude leaf DNA extract which is fully deployable in the field for quick and reliable HLB screening.

Quick and easy game bot detection based on action time interval estimation

  • Yong Goo Kang;Huy Kang Kim
    • ETRI Journal
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    • 제45권4호
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    • pp.713-723
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    • 2023
  • Game bots are illegal programs that facilitate account growth and goods acquisition through continuous and automatic play. Early detection is required to minimize the damage caused by evolving game bots. In this study, we propose a game bot detection method based on action time intervals (ATIs). We observe the actions of the bots in a game and identify the most frequently occurring actions. We extract the frequency, ATI average, and ATI standard deviation for each identified action, which is to used as machine learning features. Furthermore, we measure the performance using actual logs of the Aion game to verify the validity of the proposed method. The accuracy and precision of the proposed method are 97% and 100%, respectively. Results show that the game bots can be detected early because the proposed method performs well using only data from a single day, which shows similar performance with those proposed in a previous study using the same dataset. The detection performance of the model is maintained even after 2 months of training without any revision process.

베이지안 기반의 근전도 발화 측정을 이용한 낙상의 예측 (Bayesian Onset Measure of sEMG for Fall Prediction)

  • 박성식;김기훈
    • 로봇학회논문지
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    • 제19권2호
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    • pp.213-220
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    • 2024
  • Fall detection and prevention technologies play a pivotal role in ensuring the well-being of individuals, particularly those living independently, where falls can result in severe consequences. This paper addresses the challenge of accurate and quick fall detection by proposing a Bayesian probability-based measure applied to surface electromyography (sEMG) signals. The proposed algorithm based on a Bayesian filter that divides the sEMG signal into transient and steady states. The ratio of posterior probabilities, considering the inclusion or exclusion of the transient state, serves as a scale to gauge the dominance of the transient state in the current signal. Experimental results demonstrate that this approach enhances the accuracy and expedites the detection time compared to existing methods. The study suggests broader applications beyond fall detection, anticipating future research in diverse human-robot interface benefiting from the proposed methodology.

신속한 평가결과를 제공하는 웹기반 프로그래밍 교육시스템 (Web-based programming education system for providing rapid grading result)

  • 류혜정;박소영;심동욱
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 춘계학술대회
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    • pp.511-514
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    • 2009
  • 최근 웹은 교육 분야에서 이전보다 더 많이 활용되고 있다. 기존 웹기반 프로그래밍 교육 시스템은 학습자가 언제 어디서나 프로그래밍 과제를 제출한 후 컴파일 오류와 실행오류를 확인할 수 있도록 도와준다. 그러나 기존 시스템에서는 정답과의 일치 여부, 표절검사, 제한시간 내의 제출 여부 등에 관한 세부적인 평가결과를 제공하지 않는다. 본 논문에서는 신속한 평가결과를 제공하는 웹기반 프로그래밍 교육시스템을 제안한다. 이 시스템에서 표절검사는 이전의 학습자가 업로드한 파일만을 대상으로 비교하여 검사하므로, 피드백을 바로 제공할 수 있다. 제안하는 웹기반 프로그래밍 교육 시스템은 실제 약 40명의 학생들을 대상으로 하는 C 프로그래밍 언어 수업에 적용하였다. 제안하는 시스템은 신속한 피드백을 통해 학생들의 참여도를 개선하였다.

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A fast damage detecting technique for indeterminate trusses

  • Naderi, Arash;Sohrabi, Mohammad Reza;Ghasemi, Mohammad Reza;Dizangian, Babak
    • Structural Engineering and Mechanics
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    • 제75권5호
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    • pp.585-594
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    • 2020
  • Detecting the damage of indeterminate trusses is of major importance in the literature. This paper proposes a quick approach in this regard, utilizing a precise mathematical approach based on Finite Element Method. Different to a general two-step method defined in the literature essentially based on optimization approach, this method consists of three steps including Damage-Suspected Element Identification step, Imminent Damaged Element Identification step, and finally, Damage Severity Detection step and does not need any optimizing algorithm. The first step focuses on the identification of damage-suspected elements using an index based on modal residual force vector. In the second step, imminent damage elements are identified among the damage-suspected elements detected in the previous step using a specific technique. Ultimately, in the third step, a novel relation is derived to calculate the damage severity of each imminent damaged element. To show the efficiency and quick function of the proposed method, three examples including a 25-bar planar truss, a 31-bar planar truss, and a 52-bar space truss are studied; results of which indicate that the method is innovatively capable of suitably detecting, for indeterminate trusses, not only damaged elements but also their individual damage severity by carrying out solely one analysis.

BioMEMS 기반의 조기 질병 진단 기술에 관한 연구 (BioMEMS-EARLY DISEASE DETECTION)

  • 카나카싱;김경천
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회B
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    • pp.2781-2784
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    • 2007
  • Early detection of a disease is important to tackle treatment issues in a better manner. Several diagnostic techniques are in use, these days; for such purpose and tremendous research is going on to develop newer and newer methods. However, more work is required to be done to develop cheap and reliable early detection techniques. Micro-fluidic chips are also playing key role to deliver new devices for better health care. The present study focuses on a review of recent developments in the interrogation of different techniques and present state-of-the-art of microfluidic sensor for better, quick, easy, rapid, early, inexpensive and portable POCT (Point of Care testing device) device for a particular study, in this case, bone disease called osteoporosis. Some simulations of the microchip are also made to enable feasibility of the development of a blood-chip-based system. The proposed device will assist in early detection of diseases in an effective and successful manner.

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원자로 제어봉제어시스템 전력변환부에 대한 새로운 고장 검출 방법 (A New Method of Fault Detection for Power Converter Unit in Control Rod Control System)

  • 천종민;김춘경;김석주;권순만;신종렬
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.556-558
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    • 2004
  • In this paper, we introduce a new method of detecting faults for a power converter unit in Control Rod Control System. The faults of a power converter unit can exert harmful influence upon the operation of Control Rod Drive Mechanisms and the control of the reactor output. This situation makes the quick and correct detection of failures in a power converter unit very important. We devise a new method of fault detection for the digital power controller and improve the drawbacks of the existing fault detector.

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A Dipstick-Type Enzyme-Linked Immunosorbent Assay for the Detection of the Insecticide Fenitrothion in Food Samples

  • Cho, Young-Ae;Shim, Jee-Youn;Lee, Yong-Tae;Lee, Hye-Sung
    • Food Science and Biotechnology
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    • 제15권6호
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    • pp.990-992
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    • 2006
  • In a previous study, we obtained polyclonal antibodies against the organophosphorus insecticide fenitrothion and developed an enzyme-linked immunosorbent assay (ELISA) for this pesticide. Using these antibodies and an enzyme tracer, a direct competitive ELISA method specific for fenitrothion using a dipstick format was developed. Dipstick ELISA using antibodies to fenitrothion immobilized on an Immunodyne membrane allowed the quick visual detection of fenitrothion at concentrations above $10\;{\mu}g/L$. The $IC_{50}$ value of dipstick ELISA using reflectance detection was $27\;{\mu}g/L$ with a detection limit of $2\;{\mu}g/L$. The recovery of fenitrothion from spiked lettuce and rice samples using the dipstick ELISA ranged from 87-107%.