• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.455-477
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• 2022

The purpose of this study is to examine the perception of RDA by university library librarians and the level of perception of emotions, familiarity, understanding, introduction, obstacles, and education, and to secure basic data to improve awareness. The data needed for the study were obtained through a survey of 76 librarians in 4-year university libraries. As a result of the survey, 67.1% of librarians had listened to RDA, and school classes were the highest at 51.0% of cognitive means. Second, librarians perceived that they were more positive emotions than negative emotions about RDA, and that they were not familiar with RDA-related principles or concepts. In particular, it was recognized that the RDA itself and FRAD were not more familiar. The librarian recognized that they understood RDA-related principles or concepts at a normal level, and in particular, recognized that they did not further understand the authority and encoding. Third, librarians recognized the introduction of RDA at a slightly higher level than usual, but among the questions, 'RDA replaces AACR2' was recognized at a normal level. The librarian recognized the obstacles to the introduction of RDA at a higher level than usual, and in particular, the lack of education related to RDA was highly recognized. Fourth, librarians recognized the need for RDA-related education at a high level, especially the use of RDA Toolkit, changes in RDA records, differences between RDA and AACR2, and the need for RDA and MARC21-related education. In this study, based on the research results, a plan to improve librarian awareness of RDA was proposed.

• Journal of Oriental Neuropsychiatry
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• v.33 no.1
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• pp.1-19
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• 2022

Objectives: The objective of this study was to confirm the Chiljeong (七情) characteristics of Hwa-byung patients using the core seven-emotions inventory-short form. Methods: We conducted a retrospective observational study based on the electronic medical records from a Korean medicine hospital. We included patients who were diagnosed with Hwa-byung and examined with Core Seven-Emotions Inventory-short Form (CSEI-S) during hospitalization periods. We presented the characteristics of Hwa-byung by demographic information, CSEI-S, Hwa-byung scale, and Korean Symptom Checklist 95. A correlation analysis was performed between CSEI-S and other clinical and psychological characteristics. Results: The Chiljeong characteristics of Hwa-byung were high in the order of Sorrow (悲), Thought (思), Fear (恐), Fright (驚), Depression (憂), Joy (喜), and Anger (怒). There was no significant difference between each emotion. After combined Korean medical treatment, Sorrow (悲) and Thought (思) significantly decreased. There were static correlations between sorrow (悲) and fright (驚), thought (思) and sorrow (悲), depression (憂) and sorrow (悲), depression (憂) and fright (驚), thought (思) and depression (憂), fear (恐) and fright (驚), anger (怒) and thought (思), thought (思) and fright (驚), sorrow (悲) and fear (恐). Sorrow (悲) and Hwa-byung characteristics scale showed static correlation. Joy (喜) showed a static correlation with disharmony between the heart and kidney scores of the Hwa-byung pattern identification. Between KSCL-95 and CSEI-S, static correlation appeared in depression (憂) with depression, anxiety, and sleep problem scale, sorrow (悲) with depression and anxiety, fright (驚) with depression and obsessive symptoms. Conclusions: Despite several limitations due to the study design and small sample size, this research successfully used CSEI-S to study the Chiljeong (七情) characteristics of Hwa-byung for the first time.

• Korean Association of Arts Management
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• no.52
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• pp.75-105
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• 2019

In studying culture consumption today, it is essential to understand and analyze the actual visitors' experiences in detail. This is deeply related to the fact that we can utilize subjective experience records that were previously inaccessible as data since plenty of people actually record many performance experiences in the media space such as social media. This study attempts to examine what elements actually consists of people's performance experience based on actual expression of the performance experience that exists online. For this, we collected two types of data. First, we collected posts which required performance recommendation on online platforms such as Jisik-In and Cafes to see how people describe what they want and analyzed data focusing on the modifiers. Results show that people mainly use modifiers that reflect the specific situation of the individual such as companion or age. In addition we analyzed how the experience was described after the show through the review posts of ticket booking site. Results show how expressions are centered around companions, revisit intentions, and viewing experiences besides elements such as story and music, which have been known as main satisfaction elements of performance experience in previous studies. In addition, we discussed the practical implications and limitations of the study as well as the theoretical discussion.

• 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 Journal of Artificial Intelligence
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• v.11 no.2
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• pp.39-44
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• 2023

The creativity of thesis is that the significance of cyber security challenges in blockchain. The variety of enterprises, including those in the medical market, are the targets of cyberattacks. Hospitals and clinics are only two examples of medical facilities that are easy targets for cybercriminals, along with IoT-based medical devices like pacemakers. Cyberattacks in the medical field not only put patients' lives in danger but also have the potential to expose private and sensitive information. Reviewing and looking at the present and historical flaws and vulnerabilities in the blockchain-based IoT and medical institutions' equipment is crucial as they are sensitive, relevant, and of a medical character. This study aims to investigate recent and current weaknesses in medical equipment, of blockchain-based IoT, and institutions. Medical security systems are becoming increasingly crucial in blockchain-based IoT medical devices and digital adoption more broadly. It is gaining importance as a standalone medical device. Currently the use of software in medical market is growing exponentially and many countries have already set guidelines for quality control. The achievements of the thesis are medical equipment of blockchain-based IoT no longer exist in a vacuum, thanks to technical improvements and the emergence of electronic health records (EHRs). Increased EHR use among providers, as well as the demand for integration and connection technologies to improve clinical workflow, patient care solutions, and overall hospital operations, will fuel significant growth in the blockchain-based IoT market for linked medical devices. The need for blockchain technology and IoT-based medical device to enhance their health IT infrastructure and design and development techniques will only get louder in the future. Blockchain technology will be essential in the future of cybersecurity, because blockchain technology can be significantly improved with the cybersecurity adoption of IoT devices, i.e., via remote monitoring, reducing waiting time for emergency rooms, track assets, etc. This paper sheds the light on the benefits of the blockchain-based IoT market.

• The Journal of Internal Korean Medicine
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• v.44 no.3
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• pp.439-454
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• 2023

Objectives: As Korea transitions into an aging society, the incidence of cerebrovascular disease is expected to increase. Herbal medicine is commonly used in Oriental medicine to treat cerebrovascular disease. However, there is insufficient clinical evidence to actively support the safety of herbal medicine in clinical practice. Therefore, the aim of this study was to determine the toxicity and safety of four herbal medicines (Cheongsimyeonja-tang, Dodam-tang, Hyeolbuchukso-tang, and Boshiniknai-tang) in patients with cerebrovascular disease. Methods: This study used electronic medical records to analyze patients admitted to an oriental medicine hospital from April 1, 2017, to December 31, 2020. Liver and renal function values at the time of admission and discharge were compared. Results: A total of 25 patients were included in this study. We found no significant differences in various variables, such as complete blood count, liver-renal function test, and urine, before and after the administration of the four herbal medicines. Additionally, no significant adverse events related to herbal medicine were observed. Conclusions: This study confirmed the safety of the four herbal medicines in patients with cerebrovascular disease who were hospitalized in a single Oriental medicine hospital.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6A
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• pp.765-778
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• 2008

Performance Profiles are essential to predict the performance variation over time for the bridge management system (BMS) based on risk management. In general, condition profiles based on experts opinion and/or visual inspection records have been used widely because obtaining profiles based on real performance is not easy. However, those condition profiles usually don't give a good consistency to the safety of bridges, causing practical problems for the effective bridge management. The accuracy of performance evaluation is directly related to the accuracy of BMS. The reliability of the evaluation is important to produce the optimal solution for distributing maintenance budget reasonably. However, conventional methods of bridge assessment are not suitable for a more sophisticated decision making procedure. In this study, a method to compute quantitative performance profiles has been proposed to overcome the limitations of those conventional models. In Bridge Management Systems, the main role of performance profiles is to compute and predict the performance of bridges subject to lifetime activities with uncertainty. Therefore, the computation time for obtaining an optimal maintenance scenario is closely related to the efficiency of the performance profile. In this study, the Response Surface Method (RSM) based on independent and important design variables is developed for the rapid computation. Steel box bridges have been investigated because the number of independent design variables can be reduced significantly due to the high dependency between design variables.

• Journal of the Korean Burn Society
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• v.19 no.1
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• pp.12-15
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• 2016

Purpose: Firefighters are vulnerable to burn injury during firefighting. In extensive fires, conducted heat and radiant heat can cause burn injury even though firefighters are not directly exposed to fire. There has been increasing interest in the health problems of firefighters considerably since Hongje-dong fire of 2001, which claimed the lives of six fireman. However, there have been no studies done on the characteristics of firefighter burn injuries in South Korea. Therefore, we investigated the characteristics of firefighter burn injuries in a burn center. Methods: A retrospective, single-center research was performed between Jan 2006 to Dec 2015. 24 firefighters came to the burn center. The electronic medical records of patients were reviewed. Results: Flame burns (87.5%) were the major cause of burn in firefighter. All the patients suffered second-degree or third-degree burns. Mean burn size was 6.1±6.7%. 22 of 24 patients were hospitalized and 2 of 22 hospitalized patients admitted to intensive care unit. Mean length of hospitalization was 29.1±23.7 days and mean length of intensive care unit hospitalization was 6.0±1.4 days. The face was the site most commonly burned, representing 25.8% of injuries. The hand/wrist, upper extremity, and neck were the next largest groups, with 19.4, 12.9, 11.3% of the injuries, respectively. Conclusion: Firefighter burn injuries occur to predictable anatomic sites with common injury patterns. The burn size was small but, admitted patients need about 30 days of hospitalization.

• (The) Research of the performance art and culture
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• no.38
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• pp.297-347
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• 2019

Jie Jie Hao Yin 『절절호음(節節好音)』 is a script collection produced during the Qianlong's ruling Period which had one of the most flourished period of Qing Dynasty's Palace Drama. This script collection is consisted of 86 scripts of 6 Festival Court Plays: New year's day (元旦), Lantern festival(上元), Yanjiu festival(燕九), Snow appreciation(賞雪), Day of Kitchen god worshipping(祀竈), New year's eve(除夕). These scripts are effective records to study the New Year's Eve Drama of Qianlong Period. Jie Jie Hao Yin carry out the performances not only through Kunqiang (崑腔), and Yiyang Tune (弋腔), but also through various types of entertaining performances such as dance, masque play, puppet show, and story telling. Most of the songs were sung by various gods praising the era of peace as the holiday approaches. In the contents of revealing the luck to be brought by the holidays, it sought for the colorful transformations of stages through adding humoristique short stories or various feast genres in between the performance. It also tries to seek for diversities of stages through active application of acrobatics. It also portrays folk customs from BaiYunGuan's temple fair, Yanjiu Festival in YanBin, the Lantern Fair of Lantern Festival, and various activities of wet markets from New Year's Eve from diverse points of views. Especially through various shows and Chinese folk-art forms, the popular folk activities and entertainments near Beijing in the beginning era of Qing Dynasty can be observed. Jie Jie Hao Yin is a very important resource to look at the popular art activities of Beijing during Qianlong Period, and how the Palace culture accepted the folk cultures and applied to its own advancements.

• Journal of The Geomorphological Association of Korea
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• v.27 no.1
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• pp.61-89
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• 2020

The objective of this study is to characterize landslide susceptibility depending on various geo-environmental variables as well as to compare the Frequency Ratio (FR) and Evidential Belief Function (EBF) methods for landslide susceptibility analysis of rainfall-induced landslides. In 2013, a total of 259 landslides occurred in Chuncheon, Gangwon Province, South Korea, due to heavy rainfall events with a total cumulative rainfall of 296~721mm in 106~231 hours duration. Landslides data were mapped with better accuracy using the geographic information system (ArcGIS 10.6 version) based on the historic landslide records in Chuncheon from the National Disaster Management System (NDMS), the 2013 landslide investigation report, orthographic images, and aerial photographs. Then the landslides were randomly split into a testing dataset (70%; 181 landslides) and validation dataset (30%; 78 landslides). First, geo-environmental variables were analyzed by using FR and EBF functions for the full data. The most significant factors related to landslides were altitude (100~200m), slope (15~25°), concave plan curvature, high SPI, young timber age, loose timber density, small timber diameter, artificial forests, coniferous forests, soil depth (50~100cm), very well-drained area, sandy loam soil and so on. Second, the landslide susceptibility index was calculated by using selected geo-environmental variables. The model fit and prediction performance were evaluated using the Receiver Operating Characteristic (ROC) curve and the Area Under Curve (AUC) methods. The AUC values of both model fit and prediction performance were 80.5% and 76.3% for FR and 76.6% and 74.9% for EBF respectively. However, the landslide susceptibility index, with classes of 'very high' and 'high', was detected by 73.1% of landslides in the EBF model rather than the FR model (66.7%). Therefore, the EBF can be a promising method for spatial prediction of landslide occurrence, while the FR is still a powerful method for the landslide susceptibility mapping.