• (The) Research of the performance art and culture
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• no.34
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• pp.315-353
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• 2017

This study examined the music policies of the three kings, Seongjong, Jungjong, and Injo, who were in power for about 200 years from the late 15th century to the early 17th century. These three kings deserve attention in musical history for different reasons. Sungjong published "Gugjooryeui"(1474), "Gyeong-gugdaejeon"(1476), and "Aghaggwebeom"(1493), the typical etiquette books, law books, and musical books that take the most important position in the history of Joseon, so his direction of music policy deserves attention. Jungjong was the king who rose to the throne after there was a revolt against Yeonsangun's tyranny. Injo ascended to the throne by starting a military coup d'etat himself. One may wonder how the aspect of music policies developed by a king, who was crowned by a revolt, is different from other cases. As each of these three kings had different background of enthronement and the contents of music policies in the royal family also developed with different emphasis, this study examined each aspect separately. Sungjong emphasized the importance of music and regarded it important to cultivate officials who know music. To this end, he gave a special order to Yejo(the office of protocol) and this study tried to clarify the contents first. In addition, this study examined the process, contents, and meaning of various modification works related to the revision of the lyrics used in the ceremonies. Jungjong supplemented the institutional aspects of music. This is the result of expressing the will to correct the anomalous and reckless music policies of the period of Yeonsangun. In addition, many words in the lyrics had been about Buddhist doctrines and love songs between male and female, so there were efforts to reform these. As for the period of Injo, this study examined the music policies that were made in the process of resolving the crisis after the war. It was a time when court musicians were scattered after two times of war and it was not possible to hold the national ritual properly, so music policies in this period were different from the ones in stable era. This study covered discussions on the measures to collect lost instruments and scattered musicians. It also looked at how the restoration effort was made in the situation that the music used in ancestral rites was abolished.

• (The) Research of the performance art and culture
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• no.32
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• pp.595-628
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• 2016

Pansori of a creative group pansori 2006 demonstration factory floor sound brutal sorigeuk the home of is a legend 'deokttaegol' in pansori, a creative for adaptation to remakes Work is. Evil Twin 'deokttaegol' called "Give me my leg back" in of Ghost Stories, broadcast on a kbs of lines from breakneck work is considered to be a pronoun. Sound and shadow play and playing drums and payments sentiments of the cruelty I've come across in this 'Give me my leg back' audience to be deployed to the cruel is formed by the center. Based on emotional horror of cruelty. When I was little, ever heard of Korean Ghost Stories, a bedrock of the main feeling revulsion of value in a short time and is contained in a story of filial piety, while in education, to the target Provided. Done in our lives using genre called 'pansori' sentiment and efficient learning can move about the value education can know. Sound and stories, many carefree a stimulus such as Pansori is a great gesture can be a means of education. Valued with any information, work is performed in pansori, depending upon efficient and the various, education and made an emotional cultivation resulting from the value. In my life friendly, our own via a variety of materials that can easily access many values and sentiments, and to culture for each age group on languages and customs Each age groups and instructive preferred allowing them access through their rhythm, pansori, access to the target is persistent about it with curiosity and interest. Can have interest. This wealth not belong to the traditional pansori and new together private and to the tune called creative work for the Pansori. Therefore, our language and customs, their poems span a friendly, the pansori and created using the vocabulary for each age group creative content is educational effects if used in education It is expected to be big thing. These effective approach for each age group and based on the vocabulary by the content easily understood lessons by causing only a smoothly acquired Can to provide an opportunity. Therefore, the Pansori of a creative education is important to take advantage of educational value.

• (The) Research of the performance art and culture
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• no.32
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• pp.209-241
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• 2016

"Women's Nong-ak (農樂, Traditional Korean music performed by farmers)" was born together with "Maiden group." This study focuses on the reason why women appeared as principal agents of Nong-ak which was almost exclusive to men previously and especially, on the appearance of women Nong-ak Artists who was previously worked in Traditional Drama Troupe. This study empirically deals with details of activities of Maiden's (娘子) Nong-ak troupes and Girls' (少女) Nong-ak troupes through newspaper articles. Women Nong-ak Artists enjoyed popularity with their peculiar attractions. Participating in Nong-ak contests and collecting money for their performances, women Nong-ak Artists learned their skills form masters of Woodo Nong-ak and attracted attention with their colorful costumes. Women of Nong-ak circle especially saw through the trend of the time, expanded their arena of activities and exercised flexibility and ability to react quickly to changing situations while mixing with various genres. In particular, young girls were mobilized to show value and marketability of Korean culture as cultural medium who decorated "Pure Nong-ak art stage." They were no different from "Pretty dolls dancing like angels" who could not purse their interest and economic benefit or incite political cause and their patrons were domestic and overseas political figures. Women artists, who put Nong-ak on the stage in the name of Maiden's (娘子) Nong-ak troupes and Girls' (少女) Nong-ak after the liberation from Japanese colonial rule, contributed to expansion of market base. Women Nong-ak artists, who dominated a century in such troupes as Sadangpae, Hyuprulsa, Maiden's (娘子) Nong-ak troupes, Girls' (少女) Nong-ak troupes and Women Nong-ak troupes, were the very heroines who overturned the conventions of "male predominance (男尊女卑)" which filled Nong-ak arena and cultivated a new tradition of Nong-ak culture.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1827-1836
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• 2022

Disasters that occur unexpectedly are difficult to predict. In addition, the scale and damage are increasing compared to the past. Sometimes one disaster can develop into another disaster. Among the four stages of disaster management, search and rescue are carried out in the response stage when an emergency occurs. Therefore, personnel such as firefighters who are put into the scene are put in at a lot of risk. In this respect, in the initial response process at the disaster site, robots are a technology with high potential to reduce damage to human life and property. In addition, Light Detection And Ranging (LiDAR) can acquire a relatively wide range of 3D information using a laser. Due to its high accuracy and precision, it is a very useful sensor when considering the characteristics of a disaster site. Therefore, in this study, development and experiments were conducted so that the robot could perform real-time monitoring at the disaster site. Multi-sensor module was developed by combining LiDAR, Inertial Measurement Unit (IMU) sensor, and computing board. Then, this module was mounted on the robot, and a customized Simultaneous Localization and Mapping (SLAM) algorithm was developed. A method for stably mounting a multi-sensor module to a robot to maintain optimal accuracy at disaster sites was studied. And to check the performance of the module, SLAM was tested inside the disaster building, and various SLAM algorithms and distance comparisons were performed. As a result, PackSLAM developed in this study showed lower error compared to other algorithms, showing the possibility of application in disaster sites. In the future, in order to further enhance usability at disaster sites, various experiments will be conducted by establishing a rough terrain environment with many obstacles.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.147-170
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• 2022

Although the number of patent which is one of the core outputs of technological innovation continues to increase, the number of low-value patents also hugely increased. Therefore, efficient evaluation of patents has become important. Estimation of patent lifespan which represents private value of a patent, has been studied for a long time, but in most cases it relied on a linear model. Even if machine learning methods were used, interpretation or explanation of the relationship between explanatory variables and patent lifespan was insufficient. In this study, patent lifespan (number of renewals) is predicted based on the idea that patent lifespan represents the value of the patent. For the research, 4,033,414 patents applied between 1996 and 2017 and finally granted were collected from USPTO (US Patent and Trademark Office). To predict the patent lifespan, we use variables that can reflect the characteristics of the patent, the patent owner's characteristics, and the inventor's characteristics. We build four different models (Ridge Regression, Random Forest, Feed Forward Neural Network, Gradient Boosting Models) and perform hyperparameter tuning through 5-fold Cross Validation. Then, the performance of the generated models are evaluated, and the relative importance of predictors is also presented. In addition, based on the Gradient Boosting Model which have excellent performance, Accumulated Local Effects Plot is presented to visualize the relationship between predictors and patent lifespan. Finally, we apply Kernal SHAP (SHapley Additive exPlanations) to present the evaluation reason of individual patents, and discuss applicability to the patent evaluation system. This study has academic significance in that it cumulatively contributes to the existing patent life estimation research and supplements the limitations of existing patent life estimation studies based on linearity. It is academically meaningful that this study contributes cumulatively to the existing studies which estimate patent lifespan, and that it supplements the limitations of linear models. Also, it is practically meaningful to suggest a method for deriving the evaluation basis for individual patent value and examine the applicability to patent evaluation systems.

• Journal of the Korean Electrochemical Society
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• v.26 no.1
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• pp.1-10
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• 2023

The cathode, which is one of the four major components of a lithium secondary battery, is an important component responsible for the energy density of the battery. The mixing process of active material, conductive material, and polymer binder is very essential in the commonly used wet manufacturing process of the cathode. However, in the case of mixing conditions of the cathode, since there is no systematic method, in most cases, differences in performance occur depending on the manufacturer. Therefore, LiMn₂O₄ (LMO) cathodes were prepared using a commonly used THINKY mixer and homogenizer to optimize the mixing method in the cathode slurry preparation step, and their characteristics were compared. Each mixing condition was performed at 2000 RPM and 7 min, and to determine only the difference in the mixing method during the manufacture of the cathode other experiment conditions (mixing time, material input order, etc.) were kept constant. Among the manufactured THINKY mixer LMO (TLMO) and homogenizer LMO (HLMO), HLMO has more uniform particle dispersion than TLMO, and thus shows higher adhesive strength. Also, the result of the electrochemical evaluation reveals that HLMO cathode showed improved performance with a more stable life cycle compared to TLMO. The initial discharge capacity retention rate of HLMO at 69 cycles was 88%, which is about 4.4 times higher than that of TLMO, and in the case of rate capability, HLMO exhibited a better capacity retention even at high C-rates of 10, 15, and 20 C and the capacity recovery at 1 C was higher than that of TLMO. It's postulated that the use of a homogenizer improves the characteristics of the slurry containing the active material, the conductive material, and the polymer binder creating an electrically conductive network formed by uniformly dispersing the conductive material suppressing its strong electrostatic properties thus avoiding aggregation. As a result, surface contact between the active material and the conductive material increases, electrons move more smoothly, changes in lattice volume during charging and discharging are more reversible and contact resistance between the active material and the conductive material is suppressed.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.1-17
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• 2023

With the recent rapid development of ICT(Information and Communication Technology) and the popularization of digital devices, the size of the online market continues to grow. As a result, we live in a flood of information. Thus, customers are facing information overload problems that require a lot of time and money to select products. Therefore, a personalized recommender system has become an essential methodology to address such issues. Collaborative Filtering(CF) is the most widely used recommender system. Traditional recommender systems mainly utilize quantitative data such as rating values, resulting in poor recommendation accuracy. Quantitative data cannot fully reflect the user's preference. To solve such a problem, studies that reflect qualitative data, such as review contents, are being actively conducted these days. To quantify user review contents, text mining was used in this study. The general CF consists of the following three steps: user-item matrix generation, Top-N neighborhood group search, and Top-K recommendation list generation. In this study, we propose a recommendation algorithm that applies an extended similarity measure, which utilize quantified review contents in addition to user rating values. After calculating review similarity by applying TF-IDF, Word2Vec, and Doc2Vec techniques to review content, extended similarity is created by combining user rating similarity and quantified review contents. To verify this, we used user ratings and review data from the e-commerce site Amazon's "Health and Personal Care". The proposed recommendation model using extended similarity measure showed superior performance to the traditional recommendation model using only user rating value-based similarity measure. In addition, among the various text mining techniques, the similarity obtained using the TF-IDF technique showed the best performance when used in the neighbor group search and recommendation list generation step.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.193-202
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• 2019

This study focuses on what changes are required as to a curriculum of dance department in the university in the age of the 4th industrial revolution. By comparing and analyzing the curricula of dance department in the five universities in Seoul, five academic subjects as to curricula of dance department, which covers what to learn for dance education in the age of the 4th industrial revolution, are presented. First, dance integrative education, the integration of creativity and science education, can be referred to as a subject that stimulates ideas and creativity and raises artistic sensitivity based on STEAM. Second, the curriculum characterized by prediction of the future prospect through Big Data can be utilized well in dealing with dance performance, career path of dance-majoring people, and job creation by analyzing public opinion, evaluation, and feelings. Third, video education. Seeing the images as modern major media tends to occupy most of the expressive area of art, dance by dint of video enables existing dance work to be created as new form of art, expanding dance boundaries in academic and performing art viewpoint. Fourth, VR and AR are essential techniques in the era of smart media. Whether upcoming dance studies are in the form of performance or education or industry, for VR and AR to be digitally applied into every relevant field, keeping with the time, learning about VR and AR is indispensable. Last, the 4th industrial revolution and the curriculum of dance art are needed to foresee the changes in the 4th industrial revolution and to educate changes, development and seeking in dance curriculum.

• (The) Research of the performance art and culture
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• no.41
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• pp.353-380
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• 2020

Samul nori/Pungmul-gut is the symbol of ethnic identity for the Koreans abroad. It is the representative diaspora musical genre which is performed many cultural events held by Koreans. It is, at the same time, a global music which is appreciated by not only the Koreans but also the foreigners. Many musical communities in various countries exhibit the cultural migration through the discourse of 'tradition/variation' and 'authenticity/hybridity' in the course of the acculturation and enculturation of samul nori/pungmul-gut. The pungmul-pae 'Bichoe June' active in Toronto, Canada was organized by a foreign performer. For the foreigners pungmul-gut is easy to access as a genre of world music. As a percussion ensemble, it is easy to learn for the foreigners. The pungmul-pae 'Bichoe June' is a 'music community' consist of the Koreans and foreigners. The band tries to preserve the traditionality and authenticity of the Korean music. There is no variation or hybridity in its music since the member still learns the authentic music through various available textbooks and internet sites. Through the participation of the Koreans and foreigners, the band stimulates the globalzation of the pungmul-gut. The enculturation of the pungmul-gut is exhibited in two performances held by the band. One was host by the Canadian progressive group and the other was by the Korean conservative community. The former understood the nature of pungmul-gut as the music of the common people. The latter, however, accepted the music as the representative traditional music but was not easy to enjoy the 'noisy' music. In other words, the positive/negative acceptance of the pungmul-gut depends of the ideological nature of the listeners rather than the ethnical nature.