This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.
Last year, a new perception of the right to peace on the Korean Peninsula was adopted: DMZ Yanggu Peace Declaration 2021. The Declaration reflects that there is a raising of necessity for a new perception and approach from the perspective of DMZ-related laws, sustainable ecological environment and security. Gangwon is making considerable efforts to make the border area in DMZ as an area of peace by continuously enhancing publicity on the establishment of the 'Peace Special Self-Governing Province'. This study suggests the necessity of a paradigm shift towards the significance of the interkorean border region that it should function as a passage between the South and the North rather than a dam. For, to be renewed as a sustainably developing region through newly constructed flow of communication, the wall of hostility must preliminarily fall dawn. Then a question arises about how Gangwon is, out of other border region, most eligible for the reconsideration of its significance as a border area. The answer relies on the newly established agenda and understandings towards the right to peace in the perspective of founding the policy for the Unification of the Korean Peninsula. Furthermore, the conservation of DMZ ecological environment through enlistment of UNESCO Biosphere Reserve should go hand in hand with the ultimate value of global agenda of the conservation and protection of the environment. The study insists that the peace zone is a prerequisite for the adaption of the era of future-oriented glocalization featured by the Fourth Industrial Revolution. Up to this date, the border area was an area of pain and agony. It is time for Gangwon to be reborn as an area of peace and coexistence. The aim of this study is to point a direction for Gangwon to become a sustainably developing region by illuminating the value of the Gangwon border area as a new area of peace.
With the advent of cryptocurrencies such as Bitcoin in 2009, the paradigm of money, a means of payment, has been changing significantly. And it has a great impact on our daily lives. Thus central banks have attempted various analyzes on the issuance and impact of digital currencies including electronic payments but a study on which issuance method is suitable is insufficient. In this study, the issuance of digital currency was analyzed compared to the electronic payments which are currently used. As a result, the account-based model did not show any significant differences from the current RTGS(real-time gross settlement systems) and retail payment systems. But the token-based model is expected that it can improve the efficiency of finance and induce technological innovation in the financial field. However, it was analyzed that this model would weaken the intermediary function of financial institutions such as loans due to the characteristics of digital signature technology. In addition, in order to protect consumers against security attacks such as hacking and phishing of CBDCs, legal and institutional supports similar to the current electronic payment method are required, and continuous technology development efforts are also required for the CBDC issuance model to maintain convenience and anonymity equivalent to cash.
Journal of Korea Entertainment Industry Association
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v.14
no.3
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pp.277-284
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2020
This thesis interrogates the term a performer's 'spontaneity' as the key principle to approach and enhance contemporary performer's training and acting. Drawing on a number of problematic issues, this thesis particularly examines the paradigm of the subtle bodily movement inform the experience of a performer's spontaneity as embodied and understood in approaching and adapting through text analysis and action. The in-depth process of the relationship between a performer's action and the transformative effects, is central to understanding and adapting the key principle of acting/training that a specific text would pursue through a specific performance by means of what a performer must do on stage. Following the discussion of acting in training and rehearsal, this thesis argues the necessity of an alternative way(s) and model of the performer's work via how the performer's action is sincerely emerged from the moment-by-moment rather than the performer anticipates what comes in the next and therefore pretend to do/be something/someone. Expanding upon the assumptions mentioned above, this thesis provides some pragmatic and descriptive work(s) from the practitioners' concepts and approaches that invites us to reconsider the nature of acting and its adaptability for contemporary performers.
With the increase of data and the development of AI technology, the strategies and policies related to integrated data are being actively established to increase the usability of data all over the world. Recently, in the research field, infrastructure projects and management systems are being prepared to utilize research data at the initiative of the government. Also, in Korea, platforms for searching and sharing research data are being actively developed. The National Disaster Management Research Institute (NDMI) has been conducting extensive research on disaster & safety as a national institute, but data-oriented management and utilization are insufficient. Because it still lacks consistent data management systems, metadata for outcomes of research, experts on data and policies for utilization of data to research. In order to move to the data-based research paradigm, we defined the master plans and verified a target model for the integrated management and utilization of disaster & safety research data. In this study, we found out the need to establish differentiated data governance, such as data standardization and unification of the data management system, and dedicated organization for managing data, based on the necessity and actual demands of NDMI. In order to verify the effectiveness of the target model reflecting the derived implications, we intend to establish a pilot mode. In the future, major improvement measures to establish a disaster & safety research data management system will be implement.
Kim, Jaemoon;Baek, Jongseok;Park, Jaerock;Park, Byungwoo;Shin, Hyunsuk
Journal of Korea Water Resources Association
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v.55
no.10
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pp.749-759
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2022
The paradigm of water cycle management in the watershed is changing due to the increase in abnormal climate phenomena caused by climate change and the increase in impervious area due to urbanization. Research is continuously underway based on Low Impact Development technology that can suppress water cycle distortion. In this study, factors that can reflect water cycle distortion were selected before applying LID, and the PSR index for each 148 watershed was calculated for the the Nakdonggang River basin. As of 1975, the PSR index is calculated by calculating the pressure index P, which represents the rate of change in impervious surface area to 2019, the phenomenon index S, which represents the rate of change in water cycle for each subwatershed, and the Low Impact Development area countermeasure index R. The lower PSR index value, the higher the priority management watershed, and the water cycle recovery priority management watershed was calculated in the order of 1, 2, 87, 90, 91, and 147. It is expected that the efficient application of low-impact development factors in accordance with the order of priority management of water cycle by subwatershed in the large area will contribute to the recovery of water cycle distortion.
Low flow affects various fields such as river water supply management and planning, and irrigation water. A sufficient period of flow data is required to calculate the Flow Duration Curve. However, in order to calculate the Flow Duration Curve, it is essential to secure flow data for more than 30 years. However, in the case of rivers below the national river unit, there is no long-term flow data or there are observed data missing for a certain period in the middle, so there is a limit to calculating the Flow Duration Curve for each river. In the past, statistical-based methods such as Multiple Regression Analysis and ARIMA models were used to predict sulfur in the unmeasured watershed, but recently, the demand for machine learning and deep learning models is increasing. Therefore, in this study, we present the DNN technique, which is a machine learning technique that fits the latest paradigm. The DNN technique is a method that compensates for the shortcomings of the ANN technique, such as difficult to find optimal parameter values in the learning process and slow learning time. Therefore, in this study, the Flow Duration Curve applicable to the unmeasured watershed is calculated using the DNN model. First, the factors affecting the Flow Duration Curve were collected and statistically significant variables were selected through multicollinearity analysis between the factors, and input data were built into the machine learning model. The effectiveness of machine learning techniques was reviewed through statistical verification.
KIPS Transactions on Computer and Communication Systems
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v.11
no.1
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pp.23-34
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2022
With the development of network technology, the application area has also been diversified, and protocols for various purposes have been developed and the amount of traffic has exploded. Therefore, it is difficult for the network administrator to meet the stability and security standards of the network with the existing traditional switching and routing methods. Software Defined Networking (SDN) is a new networking paradigm proposed to solve this problem. SDN enables efficient network management by programming network operations. This has the advantage that network administrators can flexibly respond to various types of attacks. In this paper, we design a threat level management module, an attack detection module, a packet statistics module, and a flow rule generator that collects attack information through the controller and switch, which are components of SDN, and detects attacks based on these attributes of SDN. It proposes a method to block denial of service attacks (DoS) of advanced attackers by programming and applying honeypot. In the proposed system, the attack packet can be quickly delivered to the honeypot according to the modifiable flow rule, and the honeypot that received the attack packets analyzed the intelligent attack pattern based on this. According to the analysis results, the attack detection module and the threat level management module are adjusted to respond to intelligent attacks. The performance and feasibility of the proposed system was shown by actually implementing the proposed system, performing intelligent attacks with various attack patterns and attack levels, and checking the attack detection rate compared to the existing system.
The rapid change of the culture and art environment is led to new art & cultural education and differences in culture and art education facilities, away from the traditional closed space culture and art education. Phenomena such as plays out of the theater, exhibitions out of the art museum, and pictures taking a walk indicate that cultural and artistic educational facilities can no longer stay in the existing paradigm and are changing along with the changes in the cultural and creative world. Therefore, to develop a site-specific theater education program centered around a specific place rather than a theater or studio, in line with the changing times of cultural and artistic educational facilities, this researcher analyzes Brecht's radio play experiment and the recent performative performance experiment. Furthermore, using the regional and community values of arts and culture education confirmed as the motive for research on site-specific theater programs, I analyze the implementation and application process by experimenting with theater programs out of the theaters and studios. As a prior study, research on site-specific performances is being conducted relatively actively, but earlier studies were dealing only with the Ligna group performance cases are lacking. However, I would like to use the previous research on site-specific performance cases as an epistemological background. As a result of the study, for the place-specific theater program through a total of 10 learners, a text based on a specific place was created that did not depend on traditional literary texts. Through this, the possibility of a site-specific theater education program could be confirmed.
Communication breakdown has been mentioned causing a heavy burden for dementia caregivers. This study aims to inspect and structure the process and results of communication between people with dementia and their caregivers. The impeding/facilitating elements of communication are also extracted. Interviews with 21 of dementia care experts about the direct and indirect experiences of communication with people with dementia were analyzed based on the grounded theory. Results show that combination of the cognitive and communication decline of the people with dementia, confusing environment and caregivers' inappropriate attitude and lack of communication skills leads to communication breakdown and relations severance. Minimal contacts and task-oriented conversation results in conflicts and people with dementia's increasing agitation, anxiety and violent behaviors while understanding of individuality and listening with heart lead to recovered lucidity in the state of serious dementia, recovered pleasure and voluntary participation in the daily activities for people with dementia. Core paradigm was defined as 'Person Centered Care through relation formation'. There are 4 types of communication with people with dementia : partnering, patronizing, conflicting, avoiding types. Researchers suggest that Person Centered based communication skills be educated and trained for dementia caregivers.
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