• Journal of Astronomy and Space Sciences
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• 제15권1호
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• pp.59-64
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• 1998

Kim & Beuermann (1995, 1996)have developed a model for the propagation of X-rays from the accreting white dwarfthrough the infalling material and the re-emission of the energy deposited by photo-absorption in the optical (and UV) spectral range. By using this model, we calculate the profiles of the $H_{\gamma}$ emission-line spectrum of intermediate polars. Photoabsorption of X-ray by the infalling material is the dominant process in forming the observed energy-dependent rotational modulation of the X-ray flux. X-ray and optical modulations are sensitive to model parameters in different ways. In principle, these dependencies allow us to obtain improved insight into the accretion geometry of the intermediate polars. We present results of our calculations and compare them with the $H{\beta}$ line spectrum(Kim & Beuermann 1996).

• 천문학논총
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• 제15권spc1호
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• pp.113-118
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• 2000

A magnetic cataclysmic variable has a rotating magnetic white dwarf which accretes matter from its late type companion. Kim & Beuermann (1995) presented a phenomenological model of the accretion from its surrounding structure e.g., a disk into the magnetosphere of the white dwarf, and presented results for the spin modulated X-ray spectrum and light curves. Using this model, we calculate the optical continuum and line emission which result from reprocessing of X-rays in the accretion stream within the magnetosphere. Penning (1985) suggested the observed spin-modulated radial-velocity variations might result from reprocession of X-rays in the disk. We, however, find the radiation can be originated from the magnetosphere accretion stream. We use the same geometrical model to calculate the optical and the X-ray behaviour. The results from the two wavelength bands are internally consistent. We conclude that this approach will increase the diagnostic accuracies of the results.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2009년도 정보통신설비 학술대회
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• pp.262-265
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• 2009

최근 각광받고 있는 위치기반 서비스의 모델인 긴급 SOS 시스템은 기지국망을 이용한 광역위치추적과 IEEE 802.15.4를 기반으로 하는 근거리 위치추적 시스템이 결합된 새로운 형태의 하이브리드형 위치추적 기법이다. 본 시스템에서 근거리 위치추적 범위를 정확히 추정하는 것은 중요한 이슈라 할 수 있다. 따라서 본 논문에서는 IEEE 8020.15.4를 기반으로 하는 Zigbee 통신방식을 추정 할 수 있는 최대 거리를 log distance model과 two ray ground 모델을 기반으로 추정 하였다.

• 대한토목학회논문집
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• 제7권2호
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• pp.89-98
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• 1987

X-Ray 사진측량(寫眞測量)은 인체에 대한 해부학적(解剖學的) 또는 생리학적(生理學的) 자료를 사진형태로 기록하여 해석하는 방법이다. 본 연구는 X-Ray를 이용하여 모델이 되는 피사체(被寫體)에 변형(變形)을 준 각 경우와, 인체 부분을 모델로 할 경우의 3 차원 좌표에 대한 정확도를 분석하므로써, X-Ray 사진(寫眞)에 의한 3 차원 위치결정의 정확도(正確度)를 향상시키고, 실용성을 높이는데 그 목적을 두고 있다. X-Ray를 이용하여 인체부분의 실제 피사체(被寫體)를 관측(觀測)한 결과, 높은 정확도(正確度)로 실제응용을 할 수 있었으며, X-Ray 사진을 이용하여 피사체(被寫體) 모든 면에 대한 삼차원(三次元) 좌표(座標)를 결정 할 수 있었다.

• 한국음향학회지
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• 제34권6호
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• pp.470-478
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• 2015

음선 모델링에서 다층 해저 바닥을 고려하는 경험적 방법 중 하나는 단일층 가정으로써, 다층 구조에 대한 평면파 반사계수를 사용하는 것이다. 본 연구자는 이층 해저 바닥에 대해 단일 층 가정의 유효성을 조사하고, 음속비, 송수신 거리 당 층 두께, 1차 반사파의 스침각의 함수로 표현되는 간단한 부등식 조건을 얻었다. 부등식 조건으로부터, 단일 층 가정이 실제 해양 환경의 중주파수 음선 모델링에 적용될 수 있음을 보였다. 마지막으로 한국 동해와 유사한 해양환경에 대해 수치실험을 수행하였다. 다층 해저 바닥에 대한 평면파 반사계수를 적용한 기하학적 빔 모델을 이용하여 비상관 전달손실을 계산하고, 서울대학교에서 개발한 포물선 방정식 패키지인 SNUPE 2.0의 결과와 비교하였다.

• 천문학회지
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• 제52권1호
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• pp.1-9
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• 2019

We present the results of the spectral and temporal analysis of eight X-ray point sources in five nearby (distance < 20 Mpc) galaxies observed with Chandra. For spectral analysis, an absorbed powerlaw and an absorbed diskblackbody were used as empirical models. Six sources were found to be equally fitted by both the models while two sources were better fitted by the powerlaw model. Based on model parameters, we estimate the X-ray luminosity of these sources in the energy range 0.3 - 10.0 keV, to be of the order of ${\sim}10^{39}ergs\;s^{-1}$ except for one source (X-8) with $L_X>10^{40}ergs\;s^{-1}$. Five of these maybe classified as Ultraluminous X-ray sources (ULXs) with powerlaw photon index within the range, ${\Gamma}{\sim}1.63-2.63$ while the inner disk temperature, kT ~ 0.68 - 1.93 keV, when fitted with the disk blackbody model. The black hole masses harboured by the X-ray point sources were estimated using the disk blackbody model to be in the stellar mass range, however, the black hole mass of one source (X-6) lies within the range $68.37M_{\odot}{\leq}M_{BH}{\leq}176.32M_{\odot}$, which at the upper limit comes under the Intermediate mass black hole range. But if the emission is considered to be beamed by a factor ~ 5, the black hole mass reduces to ${\sim}75M_{\odot}$. The timing analysis of these sources does not show the presence of any short term variations in the kiloseconds timescales.

• International Journal of Computer Science & Network Security
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• 제24권3호
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• pp.125-134
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• 2024

The novel coronavirus 2019 is called COVID-19 has outspread swiftly worldwide. An early diagnosis is more important to control its quick spread. Medical imaging mechanics, chest calculated tomography or chest X-ray, are playing a vital character in the identification and testing of COVID-19 in this present epidemic. Chest X-ray is cost effective method for Covid-19 detection however the manual process of x-ray analysis is time consuming given that the number of infected individuals keep growing rapidly. For this reason, it is very important to develop an automated COVID-19 detection process to control this pandemic. In this study, we address the task of automatic detection of Covid-19 by using a popular deep learning model namely the VGG19 model. We used 1300 healthy and 1300 confirmed COVID-19 chest X-ray images in this experiment. We performed three experiments by freezing different blocks and layers of VGG19 and finally, we used a machine learning classifier SVM for detecting COVID-19. In every experiment, we used a five-fold cross-validation method to train and validated the model and finally achieved 98.1% overall classification accuracy. Experimental results show that our proposed method using the deep learning-based VGG19 model can be used as a tool to aid radiologists and play a crucial role in the timely diagnosis of Covid-19.

• 수산해양기술연구
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• 제50권4호
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• pp.427-434
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• 2014

Although ex situ target strength (TS) measurements using dual- and split-beam systems have become the primary approach of estimating fish abundance, theoretical model estimation is a powerful tool for verifying the measurements, as well as for providing values when making direct measurements is difficult. TS values for 20 samples of live bambooleaf wrasse (Pseudolabrus japonicus) whose target length (TL) ranged between 13.7 and 21.3 cm were estimated theoretically using the Kirchhoff-ray mode model, and the TS values for 18 live fish samples were additionally measured at ${\sim}0^{\circ}$ tilt angle to the swimming aspect using a tethered method at a frequency of 120 kHz to verify the theoretical values. The digitizing intervals used to extract the fish body and swim bladder morphology in the X-ray photographs significantly affected the calculated TS patterns, but variations based on the speed of sound and density ratio values for the general range of fish flesh were relatively small (within 1 dB). Close agreement was observed between the measured and theoretical TS values, and the correlation between the average TS and body length of the fish could be calculated accurately as <$TS_{120kHz}$>= 20logTL (cm) -71.6 using the theoretical method.

• 전기전자학회논문지
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• 제23권4호
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• pp.1134-1139
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• 2019

One of the most important applications of computer vision algorithms is the detection of threat objects in x-ray security images. However, in the practical setting, this task is complicated by two properties inherent to the dataset, namely, the problem of class imbalance and visual complexity. In our previous work, we resolved the class imbalance problem by using a GAN-based anomaly detection to balance out the bias induced by training a classification model on a non-practical dataset. In this paper, we propose a new method to alleviate the visual complexity problem by using a KNN-based automatic cropping algorithm to remove distracting and irrelevant information from the x-ray images. We use the cropped images as inputs to our current model. Empirical results show substantial improvement to our model, e.g. about 3% in the practical dataset, thus further outperforming previous approaches, which is very critical for security-based applications.

• 천문학회지
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• 제47권6호
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• pp.209-214
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• 2014

In this study we develop a set of solar proton event (SPE) forecast models with NOAA scales by Multi Layer Perceptron (MLP), one of neural network methods, using GOES solar X-ray flare data from 1976 to 2011. Our MLP models are the first attempt to forecast the SPE scales by the neural network method. The combinations of X-ray flare class, impulsive time, and location are used for input data. For this study we make a number of trials by changing the number of layers and nodes as well as combinations of the input data. To find the best model, we use the summation of F-scores weighted by SPE scales, where F-score is the harmonic mean of PODy (recall) and precision (positive predictive value), in order to minimize both misses and false alarms. We find that the MLP models are much better than the multiple linear regression model and one layer MLP model gives the best result.