• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.46.3-47
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• 2021

Recently a multilayer spectral inversion (MLSI) model has been proposed to infer the physical parameters of plasmas in the solar chromosphere. The inversion solves a three-layer radiative transfer model using the strong absorption line profiles, H alpha and Ca II 8542 Å, taken by the Fast Imaging Solar Spectrograph (FISS). The model successfully provides the physical plasma parameters, such as source functions, Doppler velocities, and Doppler widths in the layers of the photosphere to the chromosphere. However, it is quite expensive to apply the MLSI to a huge number of line profiles. For example, the calculating time is an hour to several hours depending on the size of the scan raster. We apply deep neural network (DNN) to the inversion code to reduce the cost of calculating the physical parameters. We train the models using pairs of absorption line profiles from FISS and their 13 physical parameters (source functions, Doppler velocities, Doppler widths in the chromosphere, and the pre-determined parameters for the photosphere) calculated from the spectral inversion code for 49 scan rasters (~2,000,000 dataset) including quiet and active regions. We use fully connected dense layers for training the model. In addition, we utilize a skip connection to avoid a problem of vanishing gradients. We evaluate the model by comparing the pairs of absorption line profiles and their inverted physical parameters from other quiet and active regions. Our result shows that the deep learning model successfully reproduces physical parameter maps of a scan raster observation per second within 15% of mean absolute percentage error and the mean squared error of 0.3 to 0.003 depending on the parameters. Taking this advantage of high performance of the deep learning model, we plan to provide the physical parameter maps from the FISS observations to understand the chromospheric plasma conditions in various solar features.

• Journal of radiological science and technology
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• v.47 no.3
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• pp.213-218
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• 2024

The myocardial nuclear medicine examination is widely performed to diagnose myocardium disease using various radionuclides. Although image quality according to radionuclides has improved, the radiation exposure for target organ as well as peripheral organs should be considered. Here, the aim of this study was to evaluate absorbed dose (Gy) for peripheral organs in myocardial nuclear medicine scan from myocardium according to various scan environments based on Monte Carlo simulation. The simulation environment was modeled 5 cases, which were considered by radionuclides, number of injections, and radiodosage. In addition, the each radionuclide simulation such as distribution fraction was considered by recommended standard protocol, and the mesh computational female phantom, which is provided by International Commission on Radiological Protection (ICRP) 145, was used using the particle and heavy ion transport code system (PHITS) version 3.33. Based on the results, the closer to the myocardium, the higher the absorbed dose values. In addition, application for dual injection for radionuclides leaded to high absorbed dose compared with single injection for radionuclide. Consequently, there is difference for absorbed dose according to radionuclides, number of injections, and radiodosage. To detect the accurate diseased area, acquisition for improved image quality is crucial process by injecting radionuclides, however, we need to consider absorbed dose both target and peripheral inner organs from radionuclides in terms radiation protection for patient.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.5
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• pp.566-571
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• 1988

Laser scanning system using a hologram is simpler in optical system, lower in cost than using a polygon. In this paper, a thick hologram is fabricated for the underfilled transmission disk type with a merit of wabble insensitivity to vibration. High diffraction efficiency over 50% is obtained using silver halide recording material. The two-dimensional scan pattern with 13 scan-line is made by 7-facet hologon and mirror system. This system can be practically applied to POS(Point of Sale) bar-code symbol reader.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.613-619
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• 2017

This paper presents a CUDA (Compute Unified Device Architecture) code to achieve correct GPU parallel segmented prefix operation results with less than 32 segment length for large data arrays. Mark Harris and Michael Garland had published CUDA code to address the tasks. This paper shows that their code does not generate correct results when the local segment length is less than 32, discusses the cause of the problem, and presents a CUDA code that generates correct results. The segmented parallel prefix operation presented in this paper can be applied as a building block to various large parallel processing algorithms including the k-nearest neighbor search problems.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.6
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• pp.173-179
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• 2013

The traditional key exchange protocols are transmitted by using the cryptographic. However, these protocols are compromised by the attacker. To solve this problem, this paper proposes a key exchange protocol based on the steganography with the QR code. The steganography technique embed secret information to the images, documents, videos, and MP3 files and transmit to the others. The attacker can't know that the transmission data is the secret data. Therefore, the sender transmits efficiently and safely the secret data to the others. In additional, the cover image is using the QR code image to insert the secret key. If attackers scan the QR code, then they just read the information or connect URL. They can not be recognized that the QR code image is hiding the secret key. The experiments compare the QR code image with the well-known image about the distortion and the safety.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1999.10a
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• pp.269-274
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• 1999

This paper aims to DNC application of car fuel tank die working. DNC system is consist of CAD, CAM software and CNC milling machine. CAM software is purpose to G-code generation for CNC programming. Then CAM software and CNC milling machine are connect to RS-232-C cable for networking.

• Proceedings of the Korean Nuclear Society Conference
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• 2005.05a
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• pp.575-576
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• 2005

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.458-461
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• 2005

Surface Solar Insolation is important for vegetation productivity, hydrology, crop growth, etc. However, ground base measurement stations installed pyranometer are often sparsely distributed, especially over oceans. In this study, Surface Solar Insolation is estimated using the visible and infrared spin scan radiometer(VISSR) data on board Geostationary Meteorological Satellite (GMS)-S covering from March 2001 to December 2001 in clear and cloudy conditions. To retrieve atmospheric factor, such as, optical depth, the amount of ozone, H20, and aerosol, SMAC (Simplified Method for Atmospheric Correction) code, is adopted. The hourly Surface Solar Insolation is estimated with a spatial resolution of $5km\;\times\;5km$ grid. The daily Surface Solar Insolation is derived from the available hourly Surface solar irradiance, independently for every pixel. The pyranometer by the Korea Meteorological Agency (KMA) is used to validate the estimated Surface Solar Insolation with a spatial resolution of $3\;\times\;3Pixels.$

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.9
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• pp.50-58
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• 1992

A new algorithm for filling the interior of contours and labelling each filled region concurrently is presented. Filling is simply accomplished by inversion method. The labelling information in every scan lines is extracted directly from current direction of chain code so that the proposed algorithm needs less comparision and is more efficient. The contours are followed by two different directions, clockwise for the outer contour and counterclockwise for the inner contour to get filling and labelling information. This algorithm can be applied in case that contours are nested or regions are continous. Simulataneously the proposed algorithm can find the structure tree of object without additional post processing.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.3
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• pp.21-30
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• 2020

With the widespread of smartphones, the Quick response (QR) code became one of the most popular codes. In this paper, a new type of QR code is proposed to increase the storage capacities and also to contain private information by changing the colors and the shape of patterns in the codes. Then, for a variety of applications of the printed QR codes, this paper proposes an efficient authentic certification system, which is built on an conventional CNN (Convolutional neural network) architecture - VGGNet and classifies authentic or counterfeit with smartphones, easily. For authentic codes, the proposed system extracts the embedded private information. Through practical experiments with a printed QR code, it is shown that the proposed system can classify authentic or counterfeit code, perfectly, and also, are useful for extracting private information.