• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.670-681
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• 2020

Purpose: This study aims to derive a PGV prediction equation and to enhance the application of the Onsite EEW technology which has developed through previous studies. Method: The prediction equation for the Onsite EEW derived from earthquake data M≥3.0 and MMI≥II over the past four years. Local seismic risk is estimated using M and PGV deduced from P wave properties. Result: The improved PGV prediction equation estimated the MMI with an average accuracy of 94.8% and the 𝜏_c : Pd method also showed valid performance for alerting local seismic risks. Conclusion: Onsite EEW technology is successfully applied to Korea, and becomes to reduce the blind zone to about 14km.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.12
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• pp.1013-1020
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• 2020

Spark-induced breakdown spectroscopy (SIBS) utilizes an electric spark to induce a strong plasma for collecting atomic emissions. This study analyses the potential for usinga compact SIBS instead of conventional laser-induced breakdown spectroscopy (LIBS) in discriminating rocks and soils for planetary missions. Targeting bulky solids using SIBS has not been successful in the past, and therefore a series of optimizations of electrode positioning and electrode materials were performed in this work. The limit of detection (LOD) was enhanced up to four times compared to when LIBS was used, showing a change from 78 to 20 ppm from LIBS to SIBS. Because of the higher energy of plasma generated, the signal intensity by SIBS was higher than LIBS in three orders of magnitude with the same spectrometer setup. Changing the electrode material and locating the optimum position of the electrodes were considered for optimizing the current SIBS setup being tested for samples of planetary origin.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.83-89
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• 2022

As a representative technique of recommender systems, collaborative filtering has been successfully in service through many commercial and academic systems. This technique recommends items highly rated by similar neighbor users, based on similarity of ratings on common items rated by two users. Recently research on time-aware recommender systems has been conducted, which attempts to improve system performance by reflecting user rating time of items. However, the decay rate uniform to past ratings has a risk of lowering the rating prediction performance of the system. This study proposes a rating time-aware similarity measure between users, which is a novel approach different from previous ones. The proposed approach considers changes of similarity value over time, not item rating time. In order to evaluate performance of the proposed method, experiments using various parameter values and types of time change functions are conducted, resulting in improving prediction accuracy of existing traditional similarity measures significantly.

• Journal of Platform Technology
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• v.9 no.4
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• pp.90-96
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• 2021

Most of the vehicles currently under development and in operation are equipped with various IoT sensors, but some of the factors that cause car accidents are relatively difficult to detect. One of the major risk factors among these factors is black ice. Black ice is one of the factors most likely to cause major accidents, as it can affect all vehicles passing through areas covered with black ice. Therefore, black ice detection technique is essential to prevent major accidents. For this purpose, some studies have been carried out in the past, but unrealistic factors have been reflected in some parts, so research to supplement this is needed. In this paper, we tried to detect black ice by analyzing color images using the CNN technique, and we succeeded in detecting black ice to a certain level. However, there were differences from previous studies, and the reason was analyzed.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.93-100
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• 2022

In the era of information overload on the Internet, the recommendation system, which is an indispensable function, is a service that recommends products that a user may prefer, and has been successfully provided in various commercial sites. Recently, studies to reflect the rating time of items to improve the performance of collaborative filtering, a representative recommendation technique, are active. The core idea of these studies is to generate the recommendation list by giving an exponentially lower weight to the items rated in the past. However, this has a disadvantage in that a time function is uniformly applied to all items without considering changes in users' preferences according to the characteristics of the items. In this study, we propose a time-aware collaborative filtering technique from a completely different point of view by developing a new similarity measure that integrates the change in similarity values between items over time into a weighted sum. As a result of the experiment, the prediction performance and recommendation performance of the proposed method were significantly superior to the existing representative time aware methods and traditional methods.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.8
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• pp.559-572
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• 2022

Recently, with the success of the world's first On-Orbit service (OOS) mission MEV (Mission Extension Vehicle)-1 in 2020, interest in OOS is increasing at home and abroad. In particular, the mission of OOS and active debris removal (ADR) service, which was difficult to find in the old space era in the past, is expected to enter the new space industry in the near future. Therefore, this paper examines the development cases of domestic and foreign OOS technologies, and describes the characteristics of major technologies required, domestic status and development potential, and the possibility of future OOS mission development. The technology trends and future prospects of OOS described in this paper are expected to be useful reference materials for further researching related fields in domestic situations where related research is insufficient.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.149-155
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• 2022

The popularity of e-commerce systems on the Internet is increasing day by day, and the recommendation system, as a core function of these systems, greatly reduces the effort to search for desired products by recommending products that customers may prefer. The collaborative filtering technique is a recommendation algorithm that has been successfully implemented in many commercial systems, but despite its popularity and usefulness in academia, the memory-based implementation has inaccuracies in its reference neighbor. To solve this problem, this study proposes a new time-aware collaborative filtering technique that integrates and utilizes the neighbors of each item and each user, weighting the recent similarity more than the past similarity with them, and reflecting it in the recommendation list decision. Through the experimental evaluation, it was confirmed that the proposed method showed superior performance in terms of prediction accuracy than other existing methods.

• Journal of the Korean Society of Radiology
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• v.81 no.4
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• pp.953-957
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• 2020

We present a rare case demonstrating successful endovascular management of an arterioureteral fistula involving the abdominal aorta. Arterioureteral fistulas are rare but life-threatening, with mortality rates ranging from 7% to 23%. Early recognition and prompt management are essential for preventing catastrophic consequences, including hypovolemic shock. However, recognition of an arterioureteral fistula requires a high index of clinical suspicion due to its rarity and the lack of a sensitive diagnostic method. Arterioureteral fistulas could be induced by traumatic events in patients who have a history of pelvic surgery, radiation, and prolonged placement of a ureteral stent. Endovascular stent graft placement could be a valid treatment option for arterioureteral fistulas involving the abdominal aorta.

• Archives of design research
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• v.18 no.1 s.59
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• pp.39-48
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• 2005

In the age of digital culture, TV broadcasting is exercising more influence as a information and communication medium compared to past. With the appearance of satellite broadcasting service in 2002, the broadcasting environment became a diversified field of local TV, cable TV, satellite, internet, etc. and created the time of multi-media and multi-channel. This ongoing change of broadcasting environment made the passive audience of the past, active image makers and new accepters, participants and users of communications, who know how to choose and use media as the active centerpiece, The active acceptor as the centerpiece of channel selections has become the center of the broadcasting, whereby they pick up and enjoy their favorite TV programs and came to remember the list of their favorite channels and zap them finally. In this point of spotting their favorite channels and improving the degree of recognition for the channels, the development of the noticeable brand for a particular program has made a great contribution. The aim of this study, therefore, is to recognize the factors, which are important in the habits of watching TV and to develop professional brands for TV broadcasting programs. The range of the survey for this study was home news programs and broadcasting stations abroad, which were on air from March to May in 2004. The focus of the survey was universal and professional news programs. Through this study, it was ascertained that, in the case of news, developing a brand for an anchor as well as for a professional brand of TV program could be an important element.

• Journal of Korean Classical Literature and Education
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• no.39
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• pp.67-97
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• 2018

The purpose of this paper is to clarify that the difference between past and present response to the same folktales relates to other cultural contexts. This is part of the research to explore the methodology of folktale education for intergenerational communication. This paper compares the reaction on a storytelling site from the past to with current college students' impressions. On the older site, the storyteller and audience sympathized with the characters of . Additionally, they were pleased with the conclusion that the characters would get a new family. However, university students thought that the characters of was incompetent. University students evaluated their success as depending on other people, accidentally obtained. Such a difference was closely related to the culture of the group intervening when understanding the folktale. In the past culture, empathy, interdependence, and unity were considered important values. Meanwhile, the new-generation culture emphasized the individual's free will and rights, diligence, and honesty. As a result, due to differences in cultural context, university students distorted , and communication with past generations was also broken. In this paper, we study the folktale education methodology that helps communication between generations. this paper proposes that It is more suitable to tile the story instead of for university students. That is because resembles the cultural context of university students. At the same time, it has the same problem as .