• The Transactions of the Korea Information Processing Society
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• v.6 no.7
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• pp.1955-1961
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• 1999

비디오 데이터는 비정형 데이터이고 정보의 양이 방대하기 때문에 내용기반 검색 방법이 필요하다. 비디오 데이터의 내용기반 검색을 위해서는 동영상 데이터의 색인이 필요한데, 일반적으로 비디오 색인을 하기 위한 시작점은 컷 검출이다. 본 논문에서는 컷 검출의 효율성을 향상시키기 위해서 컷 검출 과정 중 임계값이 동적으로 변화하는 동적 임계값 기법을 제안한다. 구현과 실험을 통하여 제안하는 방법이 기존의 방법보다 효율적임을 보였다. 6a A content-based search method is required for video which has an unformatted and huge size of data. The index technique is necessary for the content-based search of the video data. The first step of the video indexing is a cut detection. We propose a dynamic threshold method which changes a threshold value during the cut detection process. We demonstrate that the proposed method is more efficient than the existing methods.

• Proceedings of the KIEE Conference
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• 1993.07b
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• pp.588-590
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• 1993

This paper presents a diagnostic technique using ultrasonic for operating power transformer. Two methods are used as a base for detecting a partial discharge. One is a analysis of PD trend using counted ultrasonic signal, the other is a estimation of PD location source using cross-correlation. In this paper we implement detection equipment of partial discharge in power transformer. The desired system is utilized to two methods for PD detection and operated by graphical user interface(GUI). The results of test showed that the system can be adopted to real power transformer.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.11
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• pp.1605-1610
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• 2015

This study describes a new method to analyze phonocardiogram acquired from electronic stethoscope. The method uses the formant frequencies of linear prediction spectrum of the phonocardiogram and proposes a novel method for formant detection using the smoothing and the first and second derivatives. For this, stethoscope sounds are acquired in university hospital. The stethoscope signals are preprocessed and analyzed by the Burg algorithm, a kind of linear prediction analysis. Based on the linear prediction spectra, the formant frequencies are estimated. The proposed method has shown better performance in formant frequency detection than the conventional peak picking method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.1
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• pp.162-167
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• 2012

In power quality monitoring, it is very important to detect disturbances (sag, swell, transient, and interruption) accurately. In this paper, a detection method for power quality disturbances by combining the filter bank system and adaptive filter is proposed. To decompose power signal, binary tree structured filter bank system is designed. In the filter bank system, the fundamental filter bank(QMF bank) is used as a module in each decomposing level. An adaptive filter is used to improve the detection accuracy of disturbances for each subband signal. In the adaptive filter, the measure of estimated error change is used to detect singular points of power quality disturbances. Computer simulations were performed on synthetic signals which have disturbances to assess the performance of the proposed method.

• Parasites, Hosts and Diseases
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• v.51 no.1
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• pp.129-132
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• 2013

In this study a disperse dye immunoassay method was standardized and evaluated for detection of antibodies against Neospora caninum in cattle. Sera from 150 cattle with a recent history of abortion were collected and tested by commercial ELISA kit and a standardized in-house dye immunoassay system. The positivity rate for the sera used in this study was 34.6% for the disperse dye immunoassay (DDIA) compared to 32% obtained by ELISA kit. This study showed no significant difference between DDIA and ELISA. The results indicated that the DDIA provide an economic, simple, rapid and robust test for detection of N. caninum infection in cattle.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.20 no.3
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• pp.272-278
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• 2010

A method for damage detection in a plate structure is presented based on strain waves that are generated by impact or damage in the structure. Strain responses from continuous sensors, which are long ribbon-like sensors made from piezoceramic fibers or other materials, were used with a neural network technique to estimate the damage location. The continuous sensor uses only a small number of channels of data acquisition and can cover large areas of the structure. A grid type structural neural system composed of the continuous sensors was developed for effective damage localization in a plate structure. The ratios of maximum strains and arrival times of the maximum strains obtained from the continuous sensors were used as input data to a neural network. Simulated damage localizations on a plate were carried out and the identified damage locations agreed reasonably well with the exact damage locations.

• Korean Journal of Clinical Laboratory Science
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• v.46 no.2
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• pp.64-67
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• 2014

Vancomycin-resistant Enterococci (VRE) are a leading cause of a nosocomial infection. While seven glycopeptide resistance genotypes have been found in Enterococci, vanA and vanB are the most common resistance genotypes. Aims of this study were to detect antibiotic susceptibilities of 23 Enterococcus spp, which broke out in a university hospital by the disk diffusion test, to investigate specific genes of vanA and vanB by conventional and real-time PCR. PCR for vanA and vanB was performed on 23 Enterococci, all 23 were positive for vanA type. This study reports the validation of a simple and rapid VRE detection method that can be easily incorporated into the daily routine of a clinical laboratory. Early detection of VRE strains, including those with susceptibility to Vancomycin, is of paramount clinical importance, as it allows a rapid initiation of strict infection control practices as well as a therapeutic guidance for a confirmed infection. The real-time PCR method is a rapid technique to detect vanA in Enterococci. It is simple and reliable for the rapid characterization of VRE.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.717-720
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• 2008

This paper studies a collision detection technique to dealing with moving polyhedra. Even though the problem is well-studied in computer graphics, the existing methods are inapplicable to highly dynamic environments. We use the GJK algorithm to determine collisions between convex objects. Also, our method is applied for moving objects.

• Annual Conference of KIPS
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• 2019.10a
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• pp.760-761
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• 2019

Smart manufacturing is a process of integrating computer-related technologies in production and by doing so, achieving more efficient production management. The recent development of supercomputers has led to the broad utilization of artificial intelligence (AI) and machine learning techniques useful in predicting specific patterns. Despite the usefulness of AI and machine learning techniques in smart manufacturing processes, there are many fundamental issues with the direct deployment of these technologies related to data management. In this paper, we focus on solving the outlier detection issue in smart manufacturing applications. More specifically, we apply a state-of-the-art outlier detection technique, called Elliptic Envelope, to detect anomalies in simulation-based collected data.

• Annual Conference of KIPS
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• 2019.10a
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• pp.145-148
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• 2019

Principal Component Analysis (PCA) is a powerful technique in data analysis and widely used to detect anomalies in Wireless Sensor Networks. However, the performance of conventional PCA is not high on time-series data collected by sensors. In this paper, we propose a Joint Exponential Smoothing and Trend-based Principal Component Analysis (JES-TBPCA) for Anomaly Detection which is based on conventional PCA. Experimental results on a real dataset show a remarkably higher performance of JES-TBPCA comparing to conventional PCA model in detection of stuck-at and offset anomalies.