• Journal of Information Processing Systems
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• 제9권1호
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• pp.103-116
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• 2013

Prostate cancer is one of the most frequent cancers in men and is a major cause of mortality in the most of countries. In many diagnostic and treatment procedures for prostate disease accurate detection of prostate boundaries in transrectal ultrasound(TRUS) images is required. This is a challenging and difficult task due to weak prostate boundaries, speckle noise and the short range of gray levels. In this paper a method for automatic prostate segmentation in TRUS images using Gabor feature extraction and snake-like contour is presented. This method involves preprocessing, extracting Gabor feature, training, and prostate segmentation. The speckle reduction for preprocessing step has been achieved by using stick filter and top-hat transform has been implemented for smoothing the contour. A Gabor filter bank for extraction of rotation-invariant texture features has been implemented. A support vector machine(SVM) for training step has been used to get each feature of prostate and nonprostate. Finally, the boundary of prostate is extracted by the snake-like contour algorithm. A number of experiments are conducted to validate this method and results showed that this new algorithm extracted the prostate boundary with less than 10.2% of the accuracy which is relative to boundary provided manually by experts.

• 한국도로학회논문집
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• 제16권4호
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• pp.127-134
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• 2014

PURPOSES : To operate more efficient traffic management system, it is utmost important to detect the change in congestion level on a freeway segment rapidly and reliably. This study aims to develop classification method of congestion change type. METHODS: This research proposes two classification methods to capture the change of the congestion level on freeway segments using the dedicated short range communication (DSRC) data and the vehicle detection system (VDS) data. For developing the classification methods, the decision tree models were employed in which the independent variable is the change in congestion level and the covariates are the DSRC and VDS data collected from the freeway segments in Korea. RESULTS : The comparison results show that the decision tree model with DSRC data are better than the decision tree model with VDS data. Specifically, the decision tree model using DSRC data with better fits show approximately 95% accuracies. CONCLUSIONS : It is expected that the congestion change type classified using the decision tree models could play an important role in future freeway traffic management strategy.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.668-670
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• 2010

주파수 변조 방식의 연속 파형을 사용하는 레이다 시스템에서는 이동 목표물 등의 원격탐지를 위하여 각 거리에 따른 변이 주파수 및 추가적인 도플러 스펙트럼의 추정이 필요하다. 그러나 이러한 기저대역 또는 중간주파수 대역의 스펙트럼 추정은 주로 FFT 기법에 의하여 이루어지며 목표물에 대한 수신신호 시간이 비교적 짧은 경우 클러터 등의 강력한 간섭신호의 부엽이 인접 도플러 필터에 누설되어 탐지하고자 하는 신호가 가려지는 문제가 나타나게 된다. 따라서 본 논문에서는 약간의 처리손실을 감수하더라도 부엽의 절대적인 크기를 낮출 수 있는 효과적인 데이터 윈도잉 기법 및 그 결과들을 고찰하고 분석하였다.

• Journal of Electrochemical Science and Technology
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• 제10권3호
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• pp.321-328
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• 2019

A new miniaturized all solid-state contact Fe (III)-selective PVC membrane electrode based on Fe (II) phthalocyanine as a neutral carrier was described. The effects of the membrane composition and foreign ions on the electrode performance was investigated. The best performance was obtained with a membrane containing 32% poly (vinyl chloride), 64% dioctylsebacate, 3% Fe (II) phthalocyanine, and 1% potassium tetrakis (p-chlorophenyl) borate. The electrode showed near Nernstian response of $26.04{\pm}0.95mV/decade$ over the wide linear concentration range $1.0{\times}10^{-6}$ to $1.0{\times}10^{-1}M$, and a very low limit of detection $1.8{\pm}0.5{\times}10^{-7}M$. The potentiometric response of the developed electrode was independent at pH 3.5-5.7. The lifetime of the electrode was approximately 3 months and the response time was very short (< 7 s). It exhibited excellent selectivity towards Fe (III) over various cations. The miniaturized all solid-state contact Fe (III)-selective membrane electrode was successfully applied as an indicator electrode for the potentiometric titration of $1.0{\times}10^{-3}M$ Fe (III) ions with a $1.0{\times}10^{-2}M$ EDTA and the direct determination of Fe (III) ions in real water samples.

• Journal of Microbiology and Biotechnology
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• 제26권3호
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• pp.588-595
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• 2016

IFN-γ release assays (IGRAs) have been developed as viable alternative diagnostic tools for detecting latent tuberculosis infection (LTBI). A customized homogeneous sandwich luminescent oxygen channeling immunoassay (LOCI) was used to quantify IFN-γ levels in IGRAs. Samples were collected from healthy volunteers (n = 40) who were T-Spot-negative and T-Spot-positive patients (n = 32) at rest. Then the amount of IFN-γ in the supernatant of IGRAs was measured by LOCI. The results demonstrated a low background, and high sensitivity, specificity, accuracy, and reproducibility, and a short assay time (only 30 min) with LOCI for IFN-γ. The recovery range was 81.63-102.06%, the coefficients of variation were below 5%, and the limit of detection was 19.0 mIU/ml. Excellent agreement between LOCI IFN-γ and the T-SPOT.TB test was obtained (97.2% agreement, κ = 0.94). The LOCI IFN-γ concentrations were significantly higher in T-Spot-positive patients than in the healthy group (p < 0.001). Moreover, as observed for the comparative LOCI IFN-γ assay, IFN-γ concentrations were related to the numbers of T-SPOT.TB spots. We have established an in vitro blood test for LTBI diagnosis, defined as LOCI IFN-γ. A high level of agreement between the LOCI IFN-γ method and T-SPOT.TB assay was observed in clinical studies that showed the LOCI IFN-γ method could determine LTBI. This study shows acceptable performance characteristics of the LOCI IFN-γ assay to diagnose LTBI.

• 융합정보논문지
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• 제8권5호
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• pp.137-143
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• 2018

일반적으로 레이더는 신호 탐지를 회피하기 위해 신호를 변조해 송신한다. 전자전에서는 수신된 레이더 펄스를 분석하여 신호를 방사한 레이더의 제원을 식별한다. 본 논문에서는 자기상관계수를 활용하여 레이더 신호 변조 형태를 식별하는 알고리즘을 제안한다. 레이더 신호의 펄스반복주기 특성에 따라 자기상관을 계산할 때 비교 범위를 다르게 적용한다. 고정 펄스반복주기와 스태거 펄스반복주기에 대하여 좁은 오차 범위를 적용하고, 지터 펄스반복주기에는 넓은 오차 범위를 적용하여 자기상관계수를 계산한다. 실험에 의하여 제안하는 알고리즘은 고정 펄스반복주기, 스태거 펄스반복주기, 지터 펄스반복주기를 정확하게 구분함과 동시에 스태거의 레벨도 정확히 찾을 수 있음을 확인하였다.

• 한국음향학회지
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• 제37권1호
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• pp.39-45
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• 2018

압축센싱을 적용하면 전체 신호의 차원 대비 실제 사용하는 신호의 차원이 작은 희소신호의 경우, 적은 수의 관측치를 통하여 빠른 시간 내에 복원이 가능하다. 수중 표적의 기어박스 및 보조 장치 등으로부터 방사되는 신호의 토널 주파수 성분들은 처리하고자 하는 주파수 대역에서 상대적으로 주파수 성분이 적다. 따라서 토널 신호는 주파수 영역 전체 대비 희소신호로 모델링 될 수 있으므로 희소 신호 복원 알고리듬인 S-OMP(Simultaneous-Orthogonal Matching Pursuit)를 이용하여 복원할 수 있다. 본 논문에서는 압축센싱 기법을 이용하여 수중 표적의 방사 소음 신호의 토널 주파수를 검출하는 기법을 제안하고 모의 실험을 통해 성능을 확인한다. 모의실험에서 기존의 FFT(Fast Fourier Transform) 임계치 기법을 이용한 방법에 비해 낮은 SNR(Signal to Noise Ratio)에서도 정확한 토널 성분을 추정 할 수 있음을 확인하였다.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.151-160
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• 2023

Breast cancer is the most dangerous and deadly form of cancer. Initial detection of breast cancer can significantly improve treatment effectiveness. The second most common cancer among Indian women in rural areas. Early detection of symptoms and signs is the most important technique to effectively treat breast cancer, as it enhances the odds of receiving an earlier, more specialist care. As a result, it has the possible to significantly improve survival odds by delaying or entirely eliminating cancer. Mammography is a high-resolution radiography technique that is an important factor in avoiding and diagnosing cancer at an early stage. Automatic segmentation of the breast part using Mammography pictures can help reduce the area available for cancer search while also saving time and effort compared to manual segmentation. Autoencoder-like convolutional and deconvolutional neural networks (CN-DCNN) were utilised in previous studies to automatically segment the breast area in Mammography pictures. We present Automatic SegmenAN, a unique end-to-end adversarial neural network for the job of medical image segmentation, in this paper. Because image segmentation necessitates extensive, pixel-level labelling, a standard GAN's discriminator's single scalar real/fake output may be inefficient in providing steady and appropriate gradient feedback to the networks. Instead of utilising a fully convolutional neural network as the segmentor, we suggested a new adversarial critic network with a multi-scale L1 loss function to force the critic and segmentor to learn both global and local attributes that collect long- and short-range spatial relations among pixels. We demonstrate that an Automatic SegmenAN perspective is more up to date and reliable for segmentation tasks than the state-of-the-art U-net segmentation technique.

• Bulletin of the Korean Chemical Society
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• 제27권9호
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• pp.1439-1444
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• 2006

A $Cu^{2+}$ ion-selective membrane microelectrode has been fabricated from poly vinyl chloride (PVC) matrix membrane containing a new symmetrical hexadentate Schiff,s base 2-{1-(E)-2-((Z)-2-{(E)-2-[(Z)-1-(2-hydroxyphenyl)ethylidene]hydrazono}-1-methylpropylidene)hydrazono]ethyl}phenol (HDNOS) as a neutral carrier, Potassium tetrakis(4-chlorophenyl) borate (KTpClPB) as an anionic excluder and o-nitrophenyloctyl ether (NPOE) as a plasticizing solvent mediator. The microelectrode displays linear potential response in the concentration range of $1.0\;{\times}\;10^{-5}-1.0\;{\times}\;10^{-11}$ M of $Cu^{2+}$. The microelectrode exhibits a nice Nernstian slope of 25.9 ${\pm}$ 0.3 mV $decade^{-1}$ in the pH range of 3.1-8.1. The sensor has a relatively short response time in whole concentration ranges ($\sim$5 s). The detection limit of proposed sensor is $5.0\;{\times}\;10^{-12}$ M (320 pg/L), and it can be used over a period of eight weeks. The practical utility of the sensor has been demonstrated by using it as an indicator electrode in the potentiometric titration of $Cu^{2+}$ with EDTA. The proposed membrane electrode was used for the direct determining of $Cu^{2+}$ content in black and red pepper, and in waste water samples.

• 한국전자파학회논문지
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• 제25권9호
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• pp.930-937
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• 2014

역 합성 개구면 레이더(Inverse Synthetic Aperture Radar: ISAR) 영상은 레이더를 이용해 전자기파를 방사하여 표적에 맞고 다시 되돌아오는 신호를 이용하여 형성할 수 있으며, 표적의 유무 판별과 식별을 위해 사용하는 보편적인 수단중 하나이다. 본 논문에서는 계단 첩 파형(Stepped Chrip Waveform: SCW)의 주파수 영역에서의 합성과 서브-샘플링(sub-sampling) 방법을 이용하여 초점이 맞는 고해상도의 ISAR 영상을 형성하는 방법을 소개한다. 기존의 계단 주파수 파형(stepped freuqnecy waveform)을 이용하는 방법은 낮은 펄스 반복 주기로 인하여 비모호 거리(unambiguous range)가 짧아 고스트(ghost) 현상이 발생하는 문제점이 발생하지만, 이는 SCW를 이용한 ISAR 영상 형성 방법을 통해 해결할 수 있다. 본 논문에서는 산란점들로 구성된 보잉-737 표적이 속도와 가속도를 가지고 움직인다고 가정한 후 제안한 방법으로 고해상도의 ISAR 영상을 형성하였다.