Development and Application Study of Robot Coding Tool Using Smartphone Interface
Abstract : Recently, as coding education has become mandatory, research on coding education has been actively conducted. Among them, coding education using robots enhances interest and confidence in learning and enables integrated learning. Therefore, interest in robot coding education is high. In this study, a pilot experiment was conducted by designing board games and learning materials, and robot coding controlled by a smartphone for the purpose of researching sustainable coding education contents that help improve computational thinking ability. The user's satisfaction and experience were analyzed, and as a result, the answer was positive in that it increased understanding and interest in cding in terms of usefulness, and answered that they were satisfied with the usability of robot coding based on the smartphone interface. Lastly,the emotional aspect, the continuation of learning using robots was positive. Robots with improved user experience are expected to increase in use in the coding education market
Keyword : Coding Education, Computational Thinking, Robot Coding, Robot Coding Interface
http://dx.doi.org/10.29056/jncist.2022.06.01
Analysis of Non-Face-to-Face Platforms for Welfare Services
Abstract : Recently, as social distancing due to the pandemic continues, face-to-face services are being reduced and non-face-to-face services based on digital platformssmartphone applications are expanding. In the social work sector where face-to-face methods have traditionally been dominated, the need for a platform for providing non-face-to-face services is increasing. This paper aims to analyze the non-face-to-face platforms operated in the social work services sector to understand the current status and suggest directions for the development of easy and convenient non-face-to-face platforms centered on service users. For this, first, through literature research, the definition, function, and role of social work services and operating systems are identified. Second, six domestic non-face-to-face platform cases are analyzed and compared. Finally, based on the analysis results, the implications necessary for the development of a non-face-to-face social work platform that can be used conveniently and comfortably by all users are derived. Therefore, the direction of developing a non-face-to-face social work platform based on the research results will contribute to the effective use of social work services by more and more people.
Keyword : Social work service, Non-Face-to-Face Platform, User, UX Design, UI Design
http://dx.doi.org/10.29056/jncist.2022.06.02
The Improvement of Art Distribution Structure Using Blockchain Technology
Abstract : With the advent of the cultural economy era today, the need for industrial development in the art world is maximizing. The domestic art market and the online art distribution industry are growing rapidly, and discussions are needed to revitalize the healthy art market. This study recognizes the necessity of changing the distribution structure of art works and seeks ways to improve through blockchain technology. First, through literature research, the characteristics and problems of the distribution structure of domestic art were identified, and the concept and type of blockchain that has various advantages and is easy to apply by detailed transaction method were examined. In addition, a blockchain technology model within the art distribution structure is constructed to present a plan to improve the art distribution structure using blockchain technology. However, in order to compensate for the limitations of research that blockchain, which has emerged as a new technology in the field of culture and arts, is insufficient, a reliable transaction platform model applied with blockchain technology was analyzed together to supplement the research basis. Furthermore, it is expected that research on ways to improve the distribution structure of artworks will be conducted through steady blockchain technology research based on this study.
Keyword : Art, Art Market, Distribution Structure, Blockchain, Trusted trading
http://dx.doi.org/10.29056/jncist.2022.06.03
A Study of Counseling Practicum Model for Undergraduates : Blended Method
Abstract : This paper proposes an on/off-line blended counseling practicum model, and is to verify the new model’s effectiveness. The goal of the practicum is to familiarize oneself with the role as a counselor through administrative practice, counseling, and supervision experiences. This allows students to have a clear awareness of the counselor's career path and enables them to grow into a mature counselor. Special lectures, study groups, case studies, individual and group counseling, psychological testing, and supervision were included. The practicum was conducted for undergraduate students in their 4th year at an online university. Counseling experts5 regional centers led students on-site and a professor provided group supervision. All procedures, except for the administrative practice and psychological testing, were conducted on-line. As a result, the participants rated the program very highly overall, in terms of satisfaction and effectiveness. In particular, they satisfied most with the psychological testing, individual and group counseling. The students reported increased career exploration activities and detailed career plan formulation with a sense of career decision making self-efficacy. The effectiveness of the blended method was excellent. The on-line components were evaluated as having high effectiveness, not only for the special lectures, study groups, and case studies, but also for the individual and group counseling elements. The implications related to these results were discussed.
Keyword : post-covid, counseling practicum, undergraduates, online counseling, blended method
http://dx.doi.org/10.29056/jncist.2022.06.04
Abstract : During nursing education, clinical practice education is an important process that can be trained by applying the learned knowledge. Especially, in the next generation, it is difficult to completely perform tasks only with simple theoretical knowledge. Therefore, the learner's practical experience and convergence and complex thinking process are essential. This study was conducted to provide a theoretical basis for future education experts to establish practical education methods and strategies by examining the meaning and content of clinical practice experience by checking the experience of nursing students who are doing psychiatric nursing practice for the first time. The research method is a qualitative study intended to explore through phenomenological methods after in-depth interviews to understand the experiences of nursing students conducting clinical practice in mental health nursing at the Community Mental Health Welfare Center. As a result, the five essential themes are expectations for practice, the uniqueness of psychiatric practice, difficulty in the practice environment, awareness of the role of psychiatric nurses, and change through clinical practice. Through this study, continuous follow-up studies are suggested to understand students' perceptions and develop an appropriate curriculum for clinical practice education so that they can have confidence in psychiatric practice.
Keyword : Clinical practice experiences, Nursing students, Phenomenological methods, Psychiatric nursing Practice
http://dx.doi.org/10.29056/jncist.2022.06.05
A Study on Portfolio based on a Deep Deterministic Policy Gradient
Abstract : Deep Reinforcement learning has recently been used in a variety of fields such as games, robotics, autonomous driving, data cooling solutions. Reinforcement learning, which can decide on their own policy, is algorithm for performing portfolio allocation in an automated manner without the need for continuous supervision. Some activation functions were used to compare and analyze portfolio performance based on the Deep Deterministic Policy Gradient Algorithm(DDPG). The Sharp Index of the portfolio based on the DDPG recorded a higher value than the benchmark. One reason for this is that understanding action probabilities is required to an action and receive a reward, which we then compare to the state value to determine an advantage. Furthermore, the probability of learning the optimal policy is thought to have increased because profits are calculated by comparing this to the state value. However, most activation functions performed similarly when ReLU, Leaky ReLU and ELU were compared. In this context, verifying the impact on in-depth reinforcement learning is a hot topic in the financial industry.
Keyword : Reinforcement Learning, Business Analytics, FinTech, Optimization, Quantitative Finance
http://dx.doi.org/10.29056/jncist.2022.06.06
BioHealth Digital LivingLab to Solve Local Community Problems
Abstract : Recently the need for research and education that can be applied to the field as a subject of social innovation and sustainable transformation is increasing. In particular overseas universities are introducing a method of collaboratinglinking with the local community through the Living Lab project in accordance with these changes. In Korea a living lab using ICT-based science and technology innovation is in progress and the living lab is being introduced as a way to link education-research innovation with the local community. In this paper bio-health digital living lab for solving community problems was studiedthe perspective of university education. First, living lab case study are analyzed in Korea, the U.S, and Europe, and the theoretical background is studied through reference materials. Second, based on the above a bio-health-related living lab demand survey was conducted for college students and frequency analysis was conducted. Finally, by synthesizing the analysis the policy improvement direction of the Biohealth Digital Living Lab is suggested. It is expected that the results and suggestions analyzed in this paper will play a positive role in the Digital Living Lab and contribute to the spread and development of the Digital Living Lab.
Keyword : Digital Living Lab, Living Lab, Bio-Health, Local Community, 4th Industry
http://dx.doi.org/10.29056/jncist.2022.06.07
A study on the characteristics of digital media exhibitions in the era of Simulacre
Abstract : Contemporary development of media technology give effects to museum exhibition. Today's media exhibitions use digital media to show virtualities that do not exist in reality, induce interactive communication to viewers, and deliver messagesthe work. The digital media exhibition is a special image based on a new medium and shows virtual, that is, a fiction that has undergone replication using technology, not real. This is a simulated art representing repetitive reproduction and original reproduction. Therefore, this study first attempts to examine the connection between the concepts of simulacre and digital media. Second, we would like to examine the relationship between digital media exhibitions and simulacrethe perspective of ‘Aura's Transcendence’, ‘Existence of Non-realism’, ‘Interaction of Welcoming’, and ‘Fictionary Immersion’. Third, through exhibition cases of the National Palace Museum, Arte Museum, and I Museum in Korea, we understand the expressive characteristics of the exhibition composition and derive simulacre elements applied to digital media exhibitions.
Keyword : Digital Media, Simulacre, Simulation, Exhibition, Museum, Popular culture
http://dx.doi.org/10.29056/jncist.2022.06.08
A Study on Acceptance of Food Culture in the War
Abstract : This study explained the food culture in the war as an example of food in some regions. Currently, there were many food studies based on place, but there were not as many studies based on the humanities background as expected. In addition, in this study, the element of place was explained by linking the era of war called the Korean War. Through this study, various attempts on food could be seen even in the dark situation of the times. There are many foods that arose during the war, but in particular, in this paper, we looked at the foods of Busan in detail, such as Wheat Noodles, Pork and Rice Soup, and Gupon Noodles. Also, among other local foods, Budae jjigae was explained, which was born through recycling of ingredientsabroad. At first, it was possible to confirm the process of transforming incompatible food into familiar food over the years. As in this study, if we combine place and times, we can fit the cross-sections that we remembered and remembered in those days. Although it is not directly identified, it is possible to identify indirectly through food, but cross-cultural contact.
Keyword : War, Korean War, Food Culture, Acceptance, Cross-cultural, Sense of Place, Sense of Time
http://dx.doi.org/10.29056/jncist.2022.06.09
Multi-Model Framework based on Complex Biometric Information for Stroke Detection
Abstract : According to the World Health Organization, the world's population is rapidly aging. This is expected to increase medical costs and be the source of various chronic diseases. According to the World Health Organization, stroke ranks second in the world's death toll and the number continues to rise. Researcherseach country have reported various risk factors through various studies and clinical trials, and are aware of the seriousness of stroke. Previous studies have detected symptoms of stroke and investigated causality. Also, with the development of artificial intelligence, it was successful to measure the distortion of the face, which is one of the symptomsstroke patients. However, stroke can show other symptoms, such as voice tremors, in addition to facial paralysis. Therefore, this study proposes a deep learning model framework using artificial intelligence, focusing on the inarticulateness of speech and the distortion of the face among the symptoms of stroke. The proposed model applied transfer learning to improve accuracy and overcome limitations of insufficient datasets. As a result, the performance was improved by 0.7% in training accuracy, for validation, 13.9% in stroke accuracy, and 4.6% in general patients.
Keyword : Stroke, Mel-Spectrogram, Transfer Learning, Feature Extraction
http://dx.doi.org/10.29056/jncist.2022.06.10
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