• 한국정보통신학회논문지
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• 제8권8호
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• pp.1740-1747
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• 2004

본 논문에서는 지문 융선의 방향정보를 검출하는 효과적인 방법을 제안하였다. 제안방법은 먼저 지문영상을 정규화하고 융선이 있는 전경영역과 융선이 없는 배경영역으로 분할하여 문턱값으로 이진영상으로 변환한다. 전경영역은 융선(ridge)과 골(valley)부분으로 구성되는데 융선의 경계를 런길이 부호를 이용하여 체인코드로 표현한다. 지문 융선의 각 화소에서 방향정보를 검출하기 위해서 체인코드로 표현된 융선 경계를 추적하면서 방향정보를 구한다. 그리고 일정한 블록내의 융선방향은 급격하게 변하지 않으므로 블록별로 평활화하여 각 화소의 방향정보를 구한다. 제안방법의 성능평가를 위해 NIST 및 FVC2002 지문데이터베이스를 이용하여 컴퓨터시뮬레이션을 수행하였다. 실험 결과 제안방법을 지문 융선의 방향정보를 효과적으로 검출하는데 이용할 수 있음을 보였다.

• Journal of Electrical Engineering and Technology
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• 제3권4호
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• pp.576-583
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• 2008

In this study, we attempt to design a real-time autonomic nervous system(ANS) evaluation system usable during exercise using heart instantaneous frequency(HIF). Although heart rate variability(HRV) is considered to be a representative signal widely used ANS evaluation system, the R-peak detection process must be included to obtain an HRV signal, which involves a high sampling frequency and interpolation process. In particular, it cannot accurately evaluate the ANS using HRV signals during exercise because it is difficult to detect the R-peak of electrocardiogram(ECG) signals with exposure to many noises during exercise. Therefore, in this study, we develop the ground for a system that can analyze an ANS in real-time by using the HIF signal circumventing the problem of the HRV signal during exercise. First, we compare the HRV and HIF signals in order to prove that the HIF signal is more efficient for ANS analysis than HRV signals during exercise. Further, we performed real-time ANS analysis using HIF and confirmed that the exerciser's ANS variation experiences massive surges at points of acceleration and deceleration of the treadmill(similar to HRV).

• 인지과학
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• 제8권4호
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• pp.55-62
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• 1997

본 논문은 매개변수 템플리트로 알려진 가변 형판(deformable template)을 사용하여 얼굴의 주요 구성 요소인 입 영역을 분할하는 방법을 제안한다. 가변 형판의 에너지 함수는 이미지 명암값(intensity), 연결(links), 에지(edges), 피크(peaks), 밸리(valleys) 등의 식으로 정의된다. 이 템플리트는 에너지 함수를 최소화하도록 매개변수들의 값을 변경함으로써 자신을 최적화하면서 변형된다. 이 최적화된 템플리트의 매개변수들의 값은 특징으로 사용된다. 우리는 이 가변 형판의 매개변수들의 초기값과 범위를 전처리를 통하여 구하여 시행시간을 줄이고 정확한 입 영역을 분할하는 방법을 제안한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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• pp.82-85
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• 2004

This paper proposes an advanced circuit for the capacitive type fingerprint sensor signal processing and an effective isolation structure for minimizing an electrostatic discharge(ESD) influence and for removing a signal coupling noise of each sensor pixel. The proposed detection circuit increases the voltage difference between a ridge and valley about $80\%$ more than old circuit. The test chip is composed of $160\;\times\;192$ array sensing cells $(9,913\times11,666\;um^2).$ The sensor plate area is $58\;\times\;58\;um^2$ and the pitch is 60um. The image resolution is 423 dpi. The chip was fabricated on a 0.35um standard CMOS process. It successfully captured a high-quality fingerprint image and performed the registration and identification processing. The sensing and authentication time is 1 sec(.) with the average power consumption of 10 mW at 3.0V. The reveal ESD tolerance is obtained at the value of 4.5 kV.

• 대한원격탐사학회지
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• 제35권1호
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• pp.93-115
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• 2019

The availability of high-resolution laser scanning data and advanced machine learning algorithms has enabled an accurate potential rockfall source identification. However, the presence of other mass movements, such as landslides within the same region of interest, poses additional challenges to this task. Thus, this research presents a method based on an integration of Gaussian mixture model (GMM) and ensemble artificial neural network (bagging ANN [BANN]) for automatic detection of potential rockfall sources at Kinta Valley area, Malaysia. The GMM was utilised to determine slope angle thresholds of various geomorphological units. Different algorithms(ANN, support vector machine [SVM] and k nearest neighbour [kNN]) were individually tested with various ensemble models (bagging, voting and boosting). Grid search method was adopted to optimise the hyperparameters of the investigated base models. The proposed model achieves excellent results with success and prediction accuracies at 95% and 94%, respectively. In addition, this technique has achieved excellent accuracies (ROC = 95%) over other methods used. Moreover, the proposed model has achieved the optimal prediction accuracies (92%) on the basis of testing data, thereby indicating that the model can be generalised and replicated in different regions, and the proposed method can be applied to various landslide studies.

• 한국멀티미디어학회논문지
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• 제24권1호
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• pp.21-29
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• 2021

With the recent increase in the number of households raising pets, various engineering studies have been underway for pets. The final purpose of this study is to automatically generate situation-sensitive captions that can express implicit intentions based on the behavior and sound of cats by embedding the already mature behavioral detection technology of pets as basic element technology in the video capturing research. As a pilot project to this end, this paper proposes a high-level capturing system using optical-flow, RGB, and sound information of cat videos. That is, the proposed system uses video datasets collected in an actual breeding environment to extract feature vectors from the video and sound, then through hierarchical LSTM encoder and decoder, to identify the cat's behavior and its implicit intentions, and to perform learning to create context-sensitive captions. The performance of the proposed system was verified experimentally by utilizing video data collected in the environment where actual cats are raised.

• Journal of Ecology and Environment
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• 제45권1호
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• pp.10-16
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• 2021

Background: Ranavirus is an emerging infectious disease which has been linked to mass mortality events in various amphibian species. In this study, we document the first mass mortality event of an adult population of Dybowski's brown frogs (Rana dybowskii), in 2017, within a mountain valley in South Korea. Results: We confirmed the presence of ranavirus from all collected frogs (n = 22) via PCR and obtained the 500 bp major capsid protein (MCP) sequence from 13 individuals. The identified MCP sequence highly resembled Frog virus 3 (FV3) and was the same haplotype of a previously identified viral sequence collected from Huanren brown frog (R. huanrenensis) tadpoles in South Korea. Human habitat alteration, by recent erosion control works, may be partially responsible for this mass mortality event. Conclusion: We document the first mass mortality event in a wild Korean population of R. dybowskii. We also suggest, to determine if ranavirus infection is a threat to amphibians, government officials and researchers should develop continuous, country-wide, ranavirus monitoring programs of Korean amphibian populations.

• 한국미생물·생명공학회지
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• 제43권3호
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• pp.267-274
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• 2015

세포주를 이용하여 생산하는 생물의약품과 생산용 세포주는 세포 배양 과정 중에 사용되는 돼지 유래 trypsin으로 부터 외래성 돼지 유래 바이러스가 오염될 가능성이 있다. PTGV는 세포배양 유래 생물의악품 제조공정에서 오염될 수 있는 외래성 바이러스 중의 하나이다. 본 연구에서는 생물의 약품 제조공정에서 PTGV 안전성을 확보하기 위해, 세포주, 원료물질, 제조공정, 완제품에서 PTGV를 정량적으로 검출하고, 제조공정에서 PTGV 제거 검증을 위한 시험법으로 활용이 가능한 TaqMan probe real-time RT-PCR 시험법을 확립하였다. PTGV에 특이적인 primer와 probe를 선별하여 PTGV 정량검출 시험법을 최적화하였다. 세포배양법에 의한 감염역가와 비교한 결과 real-time RT-PCR의 검출한계는 1.10 × 10⁰ TCID₅₀/ml이었다. 확립된 시험법의 신뢰성을 보증하기 위해 시험법 검증을 실시한 결과 특이성과 재현성, 완건성이 우수함을 확인하였다. 확립된 real-time RT-PCR 을 생물의약품 제조공정 검증에 적용할 수 있는지 확인하기 위하여 인위적으로 PTGV를 오염시킨 CHO-K1 세포주에서 PTGV 검출 시험을 실시하였다. PTGV를 감염시킨 CHO-K1 세포에서 세포변병효과를 관찰할 수 없었지만, 세포배양액에서 PTGV를 정량적으로 검출할 수 있었다.

• 한국화재소방학회논문지
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• 제22권3호
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• pp.265-271
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• 2008

본 연구는 강원도 삼척시 지역을 대상으로 산불발생 위험지역과 대형화 위험지역을 분석하고, 현재 삼척시에서 운영하고 있는 산불무인감시카메라 및 산불감시탑의 가시권역을 GIS 중첩분석을 통하여 산불발생위험이 높으면서도 대형 산불로 확대될 위험이 높은 지역을 효과적으로 감시하는지의 여부를 분석하였다. 연구결과 산불위험지역 중 가시권 범위에 들어오는 지역은 13.4% 정도밖에 되지 않았지만, 산불이 주로 낮에 발생하고, 연기가 나기 때문에 조그만 계곡부에서 발생하더라도 감시 할 수 있으므로 감시시설 반경을 4km까지 포함하면 전체면적 중 약 50.3%를 감시할 수 있을 것으로 판단되었다. 그러나 삼척시는 다른 시,군에 비해 넓은 면적의 산림을 가지고 있어 초동진화를 위해서는 감시시설을 추가적으로 설치 운영할 필요가 있다.

• Asian Pacific Journal of Cancer Prevention
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• 제17권2호
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• pp.625-630
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• 2016

Background: Despite the established role of the Pap smear test (PST) in prevention and early detection of cervical cancer, it is still rarely practiced in Sudan. Many challenges hinder the establishment of an effective cervical cancer screening program, including socio-cultural factors. Therefore, this study aimed to investigate the knowledge, attitudes and practices (KAP) of Sudanese women with regard to the Pap smear test and cervical cancer. Materials and Methods: A total of 500 married women aged 14 to 58 years were recruited from obstetric clinics, hospitals and universities in Khartoum in 2014. Data were collected using a standardized, pretested questionnaire that inquired socio-demographic characteristics and their KAP about cervical cancer and the PST. Results: More than 52% of participating women were above 30 years of age, and the majority (78.8%) were university degree holders. A total of 486 (97.2 %) of participants were resident in urban areas of Khartoum State. However about 48% of the respondents had never heard about PST, and only 15.8% of the participants had undergone a Pap smear test previously; 46.6% (233/500) knew that the human papilloma virus (HPV) was the causative agent, but only 39.2% (196/500) had heard about HPV vaccination, and only 11.4% (57/500) had received the vaccine. However 68% of the respondents agreed to do Pap smear if properly informed about the test and 75.4% of the respondents agreed to participate in a cervical cancer screening program. Conclusions: Despite a high educational level, less than half of our participants had accurate knowledge about cervical cancer, HPV, and cervical cancer screening. Health education about cervical cancer, HPV and sexually transmitted infections and the role of PST in cervical cancer prevention are crucial when designing interventions aimed at improving cervical cancer screening for Sudanese women.