• 대한수의학회지
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• 제14권2호
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• pp.243-252
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• 1974

The experiment was performed in order to investigate the applicability of the rapid detection of salmonellae in various animal-origin foods by means of the direct fluorescent antibody technique. Egg, sausage and chicken were inoculated with various concentrations of Sal.paratuphi A, Sal. paratyhi B and Sal. thompson, and the fluorescent antibody technique was applied and compared with the conventional cultura method for the sensitivity of detection of the organisms. Two methods were employed in the fluorescent antibody technique; the direct smear method in which the smear being made directly from the specimens, and the enrichment smear method in which the smear being made from the enrichment broth. The effect of various enrichment time (1,5,8,11 and 13 hours) in tetrathionate broth on the detection of salmonellae in the fluoresent antibody technique was also studied. The results obtained were summarized as followings; 1. Of the three methods, the enrichment smear method of fluorescedt antibody technique was highly effective as cultural method for the detection of salmonella organisms. 2. Direct smear method of fluorescent antibody technique was effective as two other methods $5{\times}10^4$ organisms presented in 50 g(ml) of specimens. This method may not be applicable when the specimens contained $5{\times}10^2$ or less organisms. 3. Of the three specimens, the recovery rate of Salmonella organisms from egg was slightly higher than that of sausage and chicken. 4. In fluorescent antibody technique and cultural method, the specimens inoculated with Sal. thompson were found to be higher detection rate than the specimens inoculated with Sal. paratyphi A, 5. The optimum enrichment time of Salmonella organisms in tetrathionate broth on the detection by fluorscent antibody technique was found to be 11 hours or longer when the specimens of egg, sausage and chicken were inoculated with approximately 500 organisms. The longer enrichment time was the higher detection rate up to 11 hours tested.

• Structural Engineering and Mechanics
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• 제49권2호
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• pp.183-202
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• 2014

A new method of multiple damage detection in beam like structures is introduced. The mode shapes of both healthy and damaged structures are used in damage detection process (DDP). Multiple Damage Localization Index Based on Mode Shapes (MDLIBMS) is presented as a criterion in detecting damaged elements. A finite element modeling of structures is used to calculate the mode shapes parameters. The main advantages of the proposed method are its simplicity, flexibility on the number of elements and so the accuracy of the damage(s) position(s), sensitivity to small damage extend, capability in prediction of required number of mode shapes and low sensitivity to noisy data. In fact, because of differential and comparative form of MDLIBMS, using noise polluted data doesn't have major effect on the results. This makes the proposed method a powerful one in damage detection according to measured mode shape data. Because of its flexibility, damage detection process in multi span bridge girders with non-prismatic sections can be done by this method. Numerical simulations used to demonstrate these advantages.

• 한국컴퓨터산업학회논문지
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• 제2권3호
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• pp.389-396
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• 2001

압축된 동영상에서 인덱싱을 위한 장면전환 검출기법에서 기존의 방법들은 실험에 의한 고정 임계값을 설정하여 임계값 보다 크면 장면전환이라고 판단해왔다. 기존의 고정 임계값을 적용시켰을 때는 플래쉬나 카메라 움직임 등에 의한 오검출이 많은 문제점이 있었다. 본 논문에서는 장면 전환 검출을 위한 임계값을 동영상 특성 중, 장면전환점간격을 이용하여 임계값을 동적으로 변화시키는 방법이며, 고정 임계값을 사용하는 경우보다 오검출을 줄이는 향상된 장면전환 검출기법을 제안한다. 실험에서는 동영상 특성을 통계적으로 분석하여, 기존의 고정임계값과 제안한 동적임계값을 사용한 결과 값을 비교분석 하였다. 제안한 방법은 기존의 방법보다 30%정도 오검출이 줄었다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.592-595
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• 2009

In this paper, we propose a face detection technique for still pictures which sequentially uses a skin-color model and a support vector machine (SVM). SVM is a learning algorithm for solving the classification problem. Some studies on face detection have reported superior results of SVM over neural networks. The SVM method searches for a face in a picture while changing the size of the window. The detection accuracy and the processing time of SVM vary largely depending on the complexity of the background of the picture or the size of the face. Therefore, we apply a face candidate area detection method using a skin-color model as a preprocessing technique. We compared the method using SVM alone with that of the proposed method in respect to face detection accuracy and processing time. As a result, the proposed method showed improved processing time while maintaining a high recognition rate.

• 한국음향학회지
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• 제32권2호
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• pp.147-156
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• 2013

본 논문에서는 이동하는 로봇에 탑재한 대화체 음성인식기의 주위 잡음 환경에 강인한 새로운 음성 끝점 검출 기법을 제안한다. 기존의 기법은 특징 값의 갑작스러운 변화점을 찾기 위해 에지 검출 필터(edge detection filter)를 적용하여 끝점을 찾았다. 하지만 프레임 에너지의 특징은 잡음 환경에서 불안정하기 때문에 음성의 끝점을 정확하게 찾기 어렵다. 그러므로 두 번의 고속 퓨리에 변환과 통계적 모델 기반의 특징 추출 기법을 제안하여 에지 검출 필터에 적용한다. 제안한 기법이 기존의 기법보다 강인한 특징이 될 수 있음을 본 실험을 통하여 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제19권2호
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• pp.31-37
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• 2014

기존의 허프 변환을 이용한 차량 주행 경로 검출 기법에서는 배경 영상이 복잡하지 않은 차량 주행 영상에서 주행선 이탈 여부를 판별하였다. 하지만 획득된 차량 주행 영상에는 도로의 장애물이나 그림자, 다른 차량 등 주행 경로 인식을 방해하는 요소들이 있으므로 주행 경로 검출에 있어서 매우 큰 장애물로 작용하였다. 이 논문에서는 퍼지 이진화 기법과 캐니 마스크를 적용함으로써 기존에 제안된 허프 변환만을 이용한 주행 경로 검출 기법보다 효과적인 주행 경로 검출 기법을 제안한다. 이 논문에서 제안한 주행 경로 검출 기법의 성능을 평가하기 위하여 20개의 영상을 대상으로 실험한 결과, 주행 경로를 검출하는 데에 더욱 효과적인 것을 확인하였다.

• Structural Engineering and Mechanics
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• 제24권6호
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• pp.765-769
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• 2006

• 한국통신학회논문지
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• 제35권2C호
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• pp.229-237
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• 2010

기존 SM MIMO 시스템을 위한 신호검출 기법인 OSIC 계열의 기법과 준최적 신호검출 기법인 QRD-M 기법을 협력적 공간다중화 기반 상향링크 다중사용자 시스템에 적용할 경우 사용자별 신호의 검출성능에 차이가 발생한다. 본 논문에서는 협력적 공간다중화 기반 상향링크 다중사용자 시스템을 위한 사용자간별 검출성능 차이가 발생하지 않으면서 최적 신호검출 기법과 유사한 성능을 보이는 신호검출 기법을 제안한다. 제안된 신호검출 기법의 연산복잡도는 QPSK 변조에서는 QRD-M과 유사하지만, 16-QAM, 64-QAM과 같이 높은 차수의 변조방식의 시스템에서는 QRD-M에 비해 매우 낮은 연산복잡도를 가진다.

• 센서학회지
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• 제29권3호
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• pp.194-200
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• 2020

Human detection is an important aspect in many video-based sensing and monitoring systems. Studies have been actively conducted for the automatic detection of humans in camera images, and various methods have been proposed. However, there are still problems in terms of performance and computational cost. In this paper, we describe a method for efficient human detection in the field of view of a camera, which may be static or moving, through multiple processing steps. A detection line is designated at the position where a human appears first in a sensing area, and only the one-dimensional gray pixel values of the line are monitored. If any noticeable change occurs in the detection line, corner detection and optical flow computation are performed in the vicinity of the detection line to confirm the change. When significant changes are observed in the corner numbers and optical flow vectors, the final determination of human presence in the monitoring area is performed using the Histograms of Oriented Gradients method and a Support Vector Machine. The proposed method requires processing only specific small areas of two consecutive gray images. Furthermore, this method enables operation not only in a static condition with a fixed camera, but also in a dynamic condition such as an operation using a camera attached to a moving vehicle.

• Journal of Microbiology and Biotechnology
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• 제34권9호
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• pp.1919-1925
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• 2024

Effective isolation and sensitive detection of Pseudomonas aeruginosa (P. aeruginosa) is crucial for the early diagnosis and prognosis of various diseases, such as urinary tract infections. However, efficient isolation and simultaneous detection of P. aeruginosa remains a huge challenge. Herein, we depict a novel fluorescence assay for sensitive, enzyme-free detection of P. aeruginosa by integrating DNAzyme cascade-induced DNA tweezers and magnetic nanoparticles (MNPs)-based separation. The capture probe@MNPs is capable of accurately identifying target bacteria and transporting the bacteria signal to nucleic acid signals. Based on the DNAzyme cascade-induced DNA tweezers, the nucleic acid signals are extensively amplified, endowing the method with a high sensitivity and a low detection limit of 1 cfu/mL. In addition, the method also exhibits a wide detection of six orders of magnitudes. The proposed method could be extended to other bacteria detection by simply changing the aptamer sequence. Taking the merit of the high sensitivity, greatly minimized detection time (less than 1.5 h), enzyme-free characteristics, and stability, the proposed method could be potentially applied to diagnosing and preventing diseases caused by pathogenic bacteria.