• Journal of Korean Neurosurgical Society
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• v.64 no.4
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• pp.514-523
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• 2021

Objective : Aneurysm volume quantification (AVQ) using the equation of ellipsoid volume is widely used although it is inaccurate. Furthermore, AVQ with 3-dimensional (3D) rendered data has limitations in general use. A novel universal method for AVQ is introduced for any diagnostic modality and application to any shape of aneurysms. Methods : Relevant AVQ studies published from January 1997 to June 2019 were identified to determine common methods of AVQ. The basic idea is to eliminate the normal artery volume from 3D model with the aneurysm. After Digital Imaging and Communications in Medicine (DICOM) data is converted and exported to stereolithography (STL) file format, the 3D STL model is modified to remove the aneurysm and the volume difference between the 3D model with/without the aneurysm is defined as the aneurysm volume. Fifty randomly selected aneurysms from DICOM database were used to validate the different AVQ methods. Results : We reviewed and categorized AVQ methods in 121 studies. Approximately 60% used the ellipsoid method, while 24% used the 3D model. For 50 randomly selected aneurysms, volumes were measured using 3D Slicer, RadiAnt, and ellipsoid method. Using 3D Slicer as the reference, the ratios of mean difference to mean volume obtained by RadiAnt and ellipsoid method were -1.21±7.46% and 4.04±30.54%, respectively. The deviations between RadiAnt and 3D Slicer were small despite of aneurysm shapes, but those of ellipsoid method and 3D Slicer were large. Conclusion : In spite of inaccuracy, ellipsoid method is still mostly used. We propose a novel universal method for AVQ that is valid, low cost, and easy to use.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.308-313
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• 2021

In this study, tweets about the 2019 Koreas-US DMZ Summit were collected along with a time sequence and analyzed by a sequential topic modeling method, Dynamic Topic Modeling(DTM). In microblogging services such as Twitter, unstructured data that mixes news and an opinion about a single event occurs at the same time on a large scale, and information and reactions are produced in the same message format. Therefore, to grasp a topic trend, the contextual meaning can be found only by performing pattern analysis reflecting the characteristics of sequential data. As a result of calculating the DTM after obtaining the topic coherence score and evaluating the Latent Dirichlet Allocation(LDA), 30 topics related to news reports and opinions were derived, and the probability of occurrence of each topic and keywords were dynamically evolving. In conclusion, the study found that DTM is a suitable model for analyzing the trend of integrated topics in a specific event over time.

• Journal of dental hygiene science
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• v.22 no.4
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• pp.249-255
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• 2022

Background: Sexual dimorphism is important for sex determination in the field of forensics. However, sexual dimorphism is commonly assessed using cone beam computed tomography (CBCT) rather than three-dimensional (3D) modeling software; therefore, studies using a more accurate measurement approach are necessary. This study assessed the sexual dimorphism of the MS using a 3D modeling program to obtain information that could contribute to the fields of surgery and forensics. Methods: The CBCT data of 60 patients (age, 20~29 y; 30 males and 30 females) admitted to the Department of Orthodontics at the Dankook University School of Dentistry were provided in Digital Imaging and Communications in Medicine (DICOM) format. The left MS and right MS were modeled based on the DICOM files using the Mimics (version 22; Materialise, Leuven, Belgium) 3D program and converted to stereolithography (STL) files used to measure the width, length, and height of the MS, infraorbital foramen (IOF), right MS, and left MS. The average of three repeated measurements was calculated, and a reliability test was performed to ensure data reliability (Cronbach's α=0.618). A canonical discriminant analysis was performed using a standard approach (left: Box's M=0.096; right: Box's M=0.115). Results: Males had greater values for all parameters (MS width, MS length, MS height, IOF, right MS, left MS) than females. The discriminant analysis identified six independent variables (MS width, MS height, MS length, IOF, right MS, left MS) that could identify sex. The left MS and right MS correctly identified the sex of 81.7% and 71.7% of the patients, respectively, with the left MS having higher accuracy. Conclusion: This study confirmed that, for Korean individuals, the left MS has a better ability to identify sex than the right MS. These results may contribute to sex identification in the fields of surgery and forensics.

• Journal of Broadcast Engineering
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• v.28 no.1
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• pp.42-54
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• 2023

It is an important issue to compress huge holographic data in a digital format. In particular, research on the compression of phase-only holograms for commercialization is noteworthy. Conventional video coding standards optimized for natural images are not suitable for compressing phase signals, and neural network-based compression model that can be optimized for phase signals can achieve high performance, but has a memory issue in learning high-resolution holographic data. In this paper, we show that by applying a block-based learned image compression model that can solve memory problems to phase-only holograms, the proposed method can demonstrate significant performance improvement over standard codecs even under the same conditions as block-based. Block-based learned compression model can provide compatibility with conventional standard codecs, solve memory problems, and can perform significantly better against phase-only hologram compression.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.4 s.31
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• pp.45-51
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• 2004

Control stations managed by national and local governmes are associated with other survey work and constructing geography information and they are important assets in the national level as the positional standard of the country. Since these control points are managed as some type of register and the control points could not be easily updated due to the loss of control stations from construction work or urban development. Therefore, the users could not understand the present situation of the changed control stations. In this background, the aim of this study was to develop control station management system which the managers can use to efficiently maintain control points and to support the usage of the survey control points. For developing this system, we have designed input, update, network, analysis and statistic functions, and have constructed the system using Mapobject as main engine with other languages such as Visual C++ and Visual Basic. The graphic data used in this system are 1/5,000 digital map and digital cadastral map, and the attribute data of each control station are point name, map tile name, longitude and latitude coordinates, TM coordinates, surveying data with the format of year-month-day and control situation photos and so on. In the result of constructing this control station management system, we could achieve integrated management of graphic, attribute and positioning information of each control station.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.65-72
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• 2016

Personal Health Record(PHR) service can be helpful to patients with diseases requiring strict everyday care and medical treatment, such as diabetes or cancer. In this paper, we propose a PHR system specialized in collecting and analyzing health record data of cancer patients, and present the process of how the system can improve the efficiency of cancer treatment process. Through the smart device application, cancer PHR system obtains daily PHR data which is highly related and critical to cancer therapy. The analysis report is provided to the medical staff with an available format suited for Electronic Medical Record used at medical institution. With the final result of PHR analysis which is easily merged with medical chart, most efficient Chemotherapy treatment can be provided for the patients. Also it is possible for the patients to give the information of side-effect and other pain experience during therapy to their doctors without loss of information. The proposed PHR system has the effect of improving the quality of patient care by allowing the medical staff to acquire the main objective data necessary for drug prescription and medical care benefits.

• Journal of the Institute of Convergence Signal Processing
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• v.18 no.2
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• pp.76-83
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• 2017

In this study, the original medical image, DICOM file, was converted into TIFF, BITMAP, GIF, JPEG image file, and then the conversion loss ratio according to the image compression and conversion process was quantitatively evaluated using Origin pro and ICY image analysis program. As the evaluation method, 50% MTF, structural similarity index, MSE, RMSE, maximum signal - to - noise ratio and so on were evaluated. The TIFF image file showed the same result as DICOM image in all experimental groups, Image file format. In this study, we propose a new method for evaluating the quality of digital images by applying original evaluation program such as Origin pro or ICY medical image analysis program. Is expected to be used as research data in the field of medical image processing, and TIFF image file showing the same result as DICOM image in the basic research field using digital medical image and evaluation program that does not support DICOM file Therefore, it is believed that it will help to secure reliability in digital medical image processing research using image file.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.219-240
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• 2023

Conversational AI which allows users to interact with satisfaction is a long-standing research topic. To develop conversational AI, it is necessary to build training data that reflects real conversations between people, but current Korean datasets are not in question-answer format or use honorifics, making it difficult for users to feel closeness. In this paper, we propose a conversation dataset (KOMUChat) consisting of 30,767 question-answer sentence pairs collected from online communities. The question-answer pairs were collected from post titles and first comments of love and relationship counsel boards used by men and women. In addition, we removed abuse records through automatic and manual cleansing to build high quality dataset. To verify the validity of KOMUChat, we compared and analyzed the result of generative language model learning KOMUChat and benchmark dataset. The results showed that our dataset outperformed the benchmark dataset in terms of answer appropriateness, user satisfaction, and fulfillment of conversational AI goals. The dataset is the largest open-source single turn text data presented so far and it has the significance of building a more friendly Korean dataset by reflecting the text styles of the online community.

• Korean Institute of Interior Design Journal
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• v.15 no.5 s.58
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• pp.306-313
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• 2006

Digital simulation which was introduced to the architectural field due to the rapid growth of computer graphics, gave birth to a new type of contents called 'virtual reality', led by the interaction with the users and real time processing. The public attention is drawn to the virtual reality's potential as a next generational space simulation it, having the unique characteristics of 'simulation', 'interactivity', 'tole-presence', and 'immersion', is capable of taking a virtual tour of a space with a size equivalent to that of a real space, as well as proceeding with the design progress. Nonetheless, many problems impeding CPU's real time processing of an excessively loaded architectural model data have been pinpointed over the time. Yet such GPU based game engines as 'DirectX' and 'OpenGL', developed to deal with these impediments, have not been easily applied to the architectural simulation in the design process, due to the high license cost and the specific technical requirements for the system. The virtual reality has been developed and distributed centering around the gaming field, and game developers recently show a greater tendency to include level editors in the package for the expandability purpose. Thus, we plan to propose architecture simulation which utilizes level editors in this study. In addition, the compatibility of the game engine based level editors of Quake and Unreal which form the standards for the open source FPS games, based on VRML, the standard format for the virtual reality, was compared and analyzed. Taking the example of Villa Savoye of Le Corbusier, its application possibility as an architecture simulation was assessed, by measuring the extent to which the performance of such characteristic features of the virtual reality as interactivity, immersion, and tele-presence, was improved.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.332-346
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• 2003

In this paper, a system which can compress and reconstruct the digital image was implemented using 2 dimensional DWT(Discrete Wavelet Transform). The proposed system consists of the FPGA board tocompress the image and the application software(S/W) to reconstruct it. First the FPGA receives the image from AID converter and compresses the image using wavelet transform. The compressed data is transferred into the PC using the PCI interface. The compressed image is reconstructed by an application S/W inside the PC. The image compressor can compress about 60 fields per second, in which the image format was NTSC YCbCr(4:2:2) and the image size was 640${\times}$240 pixels per field. The designed hardware mapped into one FPGA occupying 11,120 LAB (Logic Array Block) and 27,456 ESB(Embedded System Block) in APEX20KC EP20K1000B652-7. It globally uses 33MHz clock and the memory control part uses 100MHz.