• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.206-208
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• 2000

Manual generation of the relay setting summary could involve fatal errors which would result in the big damage to the system. This paper reports the automatic generation system of relay setting reports. Analysing the manual reports of various relays the almost unified format has been designed. The developed system utilizes the graphics and tabular format to enhance the user understanding.

• Journal of Advanced Navigation Technology
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• v.28 no.5
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• pp.738-744
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• 2024

The goal of this system is to effectively summarize and visualize important DICOM image data in the medical field. Using React and Node.js, the system collects and parses DICOM images, extracting critical medical information in the process. It then employs a large language model (LLM) to generate automatic summary reports, providing users with personalized medical information. This approach enhances accessibility to medical data and leverages web technologies to process large-scale data quickly and reliably. The system also aims to improve communication between patients and doctors, enhancing the quality of care and enabling medical staff to make faster, more accurate decisions. Additionally, it seeks to improve patients' medical experiences and overall satisfaction. Ultimately, the system aims to improve the quality of healthcare services.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.327-334
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• 2024

Bridge inspection is crucial for infrastructure maintenance. Current inspections based on computer vision primarily focus on identifying simple defects such as cracks or corrosion. These detection results can serve merely as preliminary references for bridge inspection reports. To generate detailed reports, on-site engineers must still present the structural conditions through lengthy textual descriptions. This process is time-consuming, costly, and prone to human error. To bridge this gap, we propose a deep learning-based framework to generate detailed and accurate textual descriptions, laying the foundation for automating bridge inspection reports. This framework is built around an encoder-decoder architecture, utilizing Convolutional Neural Networks (CNN) for encoding image features and Gated Recurrent Units (GRU) as the decoder, combined with a dynamically adaptive attention mechanism. The experimental results demonstrate this approach's effectiveness, proving that the introduction of the attention mechanism contributes to improved generation results. Moreover, it is worth noting that, through comparative experiments on image restoration, we found that the model requires further improvement in terms of explainability. In summary, this study demonstrates the potential and practical application of image captioning techniques for bridge defect detection, and future research can further explore the integration of domain knowledge with artificial intelligence (AI).

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.7-25
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• 2012

The proliferating use of e-journals has led increasing interest in collecting and analyzing usage statistic information. However, the existing manual method and simple journal usage reports provided by publishers hinder the effective collection of large-scale usage statistics and the comprehensive/in-depth analysis on them. Thus we have proposed a hybrid automatic method of collecting e-journal usage statistics based on screen scraping and SUSHI protocol. In addition, the generation method of summary statistics presented in graphs, charts and tables has been suggested in this study. By utilizing the suggested system and analysis data, librarians can compose various reports on budget or operation of the libraries.

• Journal of Auto-vehicle Safety Association
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• v.10 no.1
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• pp.27-31
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• 2018

This paper reports an analysis of cyclist accident cases with respect to passenger vehicles on Korean roads. A typology based on Initiative for the Global Harmonization of Accident Data (iGLAD) code book is applied to a traffic accident analysis system(TAAS), which has the real-world crash data on Korea roads, to understand the accident scenarios in more detail and efficiently. Similarly this typology has been used for Germany In-Depth Accidents Study (GIDAS) as well. The accident data analysis with consideration of the typology of Korean road conditions may prioritize traffic safety issues regarding cyclists and is aimed to develop an Automatic Emergency Braking (AEB) system for cyclist. In summary, this paper characterizes and analyzes the scenarios of cyclist crashes with passenger car. The most common accident scenarios on Korean roads are Car-to-Bicyclist Nearside Adult (CBNA) and Car-to-Bicyclist Longitudinal Adult (CBLA), which are more than 86% of total accidents cases. Therefore, it is inferred that AEB cyclist system should include these accident types in the operational design domain to reduce more fatality in Korea.

• Smart Media Journal
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• v.12 no.5
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• pp.17-27
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• 2023

Recently, automatic text summarization, which automatically summarizes only meaningful information for users, is being studied steadily. Especially, research on text summarization using Transformer, an artificial neural network model, has been mainly conducted. Among various studies, the GSG method, which trains a model through sentence-by-sentence masking, has received the most attention. However, the traditional GSG has limitations in selecting a sentence to be masked based on the degree of overlap of tokens, not the meaning of a sentence. Therefore, in this study, in order to improve the quality of text summarization, we propose SbGSG (Semantic-based GSG) methodology that selects sentences to be masked by GSG considering the meaning of sentences. As a result of conducting an experiment using 370,000 news articles and 21,600 summaries and reports, it was confirmed that the proposed methodology, SbGSG, showed superior performance compared to the traditional GSG in terms of ROUGE and BERT Score.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.30-31
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• 2009

Early detection of schedule delay in field construction activities is vital to project management. It provides the opportunity to initiate remedial actions and increases the chance of controlling such overruns or minimizing their impacts. This entails project managers to design, implement, and maintain a systematic approach for progress monitoring to promptly identify, process and communicate discrepancies between actual and as-planned performances as early as possible. Despite importance, systematic implementation of progress monitoring is challenging: (1) Current progress monitoring is time-consuming as it needs extensive as-planned and as-built data collection; (2) The excessive amount of work required to be performed may cause human-errors and reduce the quality of manually collected data and since only an approximate visual inspection is usually performed, makes the collected data subjective; (3) Existing methods of progress monitoring are also non-systematic and may also create a time-lag between the time progress is reported and the time progress is actually accomplished; (4) Progress reports are visually complex, and do not reflect spatial aspects of construction; and (5) Current reporting methods increase the time required to describe and explain progress in coordination meetings and in turn could delay the decision making process. In summary, with current methods, it may be not be easy to understand the progress situation clearly and quickly. To overcome such inefficiencies, this research focuses on exploring application of unsorted daily progress photograph logs - available on any construction site - as well as IFC-based 4D models for progress monitoring. Our approach is based on computing, from the images themselves, the photographer's locations and orientations, along with a sparse 3D geometric representation of the as-built scene using daily progress photographs and superimposition of the reconstructed scene over the as-planned 4D model. Within such an environment, progress photographs are registered in the virtual as-planned environment, allowing a large unstructured collection of daily construction images to be interactively explored. In addition, sparse reconstructed scenes superimposed over 4D models allow site images to be geo-registered with the as-planned components and consequently, a location-based image processing technique to be implemented and progress data to be extracted automatically. The result of progress comparison study between as-planned and as-built performances can subsequently be visualized in the D4AR - 4D Augmented Reality - environment using a traffic light metaphor. In such an environment, project participants would be able to: 1) use the 4D as-planned model as a baseline for progress monitoring, compare it to daily construction photographs and study workspace logistics; 2) interactively and remotely explore registered construction photographs in a 3D environment; 3) analyze registered images and quantify as-built progress; 4) measure discrepancies between as-planned and as-built performances; and 5) visually represent progress discrepancies through superimposition of 4D as-planned models over progress photographs, make control decisions and effectively communicate those with project participants. We present our preliminary results on two ongoing construction projects and discuss implementation, perceived benefits and future potential enhancement of this new technology in construction, in all fronts of automatic data collection, processing and communication.

• Journal of Korean Academy of Nursing Administration
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• v.3 no.1
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• pp.93-106
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• 1997

By the increase of the rate of existence of the hemodialyzing patients, they were required the long run treatment. Regardless of medical insurance expansion, hemodialyzing cost much expenses so that hospital has been considering the reuse of hemodialyzer and flowing euqipments along with the diverse study and progress of the ways of hemodialyzing and medical instruments. This study was aimed to provide the basic materials regarding the reuse of hemodialyzer which is used for the patients of chronic renal disease. The reusing program in the artificial kidney center of K hospital has been used for this study from 50 patients aften one year result from Sep. 1995 through Aug. 1996. Automatic equipment of DRS-4 made by Seratronic Co., was used as the equipment and it was retreated with the function test simultaneously. Compliaction and confirmation of the infection were by the records of the hemodialysis of the patients. SPSS was used for the analysis of the materials by computerization. The character of the patients and the rate of removal was by mistake and percentage, function test and rate of complication by Ftest(ANOVA) and the rate of complication per items by ${\chi}^2$ and Ftest. As the post test the Duncan's test was used for the statistically significant different variables in the standard of p<.05 after Ftest. The followings are the summary of the result : 1) In the function test of the new hemodialyzer and the reused one, and in all of CA110 and CF15.11, the dialyzer ultrafiltration coeffient(KUf) was appeared to have been higher in the reusing groups than the first use ones. This has been the normal limit showing no troubles with them. 2) In the function test of the new and reused hemodialyzer, in all of CA110 and CF15.11, the total blood volume was appeared to have been the less value in the reuse groups than the new ones. This was the price within 80% of the first price that both showed possible for use. 3) The result of reuse hemodialyzer of CA110 was $29.48{\pm}7.83$ in average in the test of leak test while $17.3{\pm}7.96$ in reuse of CF15.11. The normal limit of <60 was the leak test result. So both of the hemodialyzer was normal for reuse. 4) The rate of removal of Blood Urea Nitrogen(BUN) was 72.25% in CA110 hemodialyzer by reusing 16-20 times as the highest rate showing the better result in the reuse hemodialyzer, while in CF15.11 hemodialyzer showed 71.16% by highest rate in the first use by the highest rate with no difference from the reuse. 5) The rate of removal of serum creatinine of CA110 was 64.08% by highest rate in reuse of 1-5 times by showing better result in reuse hemodialyzer. While in CF15.11 66.47% the highest by reuse of 16-20 times showing no difference from each other. 6) No patients were admitted or precribed by antibiotics in relation with reuse dialyzer and no reports were shown about hepatitis $B{\cdot}C$. AIDS in fection. 7) Of the total 248 episods of complication due to the hemodialyzing, 86 by first use, 73 by 1-5 times, 35 by 6-10 times, 35 by 11-15 times and 19 by 16-20 times have been shown which have had no significant difference between the groups. 8) In the comparison of the expense for the hemodialyzer, there was the effect of saving 11,597.6 Won between the first and reuse hemodialyzer. And by decreasing the extracted materials, they did the great role of disposing the waste matters.