• Title/Summary/Keyword: International communication

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The Study on Korean Culture Education through The Musical (뮤지컬 <스웨그 에이지: 외쳐, 조선!>을 활용한 한국어 문화 교육 방안 연구)

  • Kang, Joo-Young
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.7
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    • pp.71-86
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    • 2021
  • The purpose of this study is to reveal the significance of musicals and find a way to utilize them in Korean language culture classes for foreigners. Korean language education aims to improve communication skills, and cultural education is necessary to help students understand not only the language but also the social background and context of the language. Accordingly, the author of this study has put together a lesson plan for Korean culture incorporating musicals, a topic that has been heretofore disregarded in Korean language education. Musicals are an appealing art medium for Korean language learners, as they provide striking visuals centered around distinct narrative structures and music. The musical "Swag Age: Shout out Joseon!," which this study focuses on, provides particularly suitable content, as it deals with social issues that are relevant even in contemporary Korean society and includes sijo (poetry), which can be used to teach traditional Korean literature. Based on the above characteristics, the author of this study outlines a Korean culture lesson plan teaching sijo through the musical "Swag Age: Shout out Joseon!" The class will be for learners of intermediate level and above, and consists of 4 sessions: 1) Understanding the overall plot of the musical, 2) Learning about Korean sijo, 3) Writing sijo based on your own life, and 4) Presenting your own sijo. This culture class is significant in that it goes beyond simply learning about sijo and enables students to internalize the meaning of and actively enjoy sijo by writing their own versions. In addition, it is expected to be a compelling class that, on top of its educational value, introduces and allows students to experience a wider range of Korean popular culture by adding the musical genre to the common repertoire of movies, dramas, plays, and pop songs often covered in Korean culture classes.

Associativity Among OTPF and the International Classification of Function, Disorder and Health : Focusing on the Activity and Participation Centered on Life Care (OTPF와 국제 기능·장애·건강 분류간의 연관성 : 라이프케어 중심의 활동과 참여 관점으로)

  • Bae, Seong-Hwan;Jang, Yeon-Sig;Kim, Hee-Dong;Baek, Ji-Young
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.7
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    • pp.623-632
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    • 2020
  • The purpose of this research was to identify the associativity between OTPF and ICF, present the relevance and difference of theoretical concept of OTPF-3 and ICF regarding of the participation and to identify if ICF can explain the professional area of occupational therapy. For this purpose, 4 experts of occupational therapy have made a comparative analysis of the subclassification codes of OTPF-3's work area subsection and of ICF activity and participation. As a result, connecting the most subclassification codes of OTPF-3's work area subsection and of ICF activity and participation, they demonstrated the conceptual similarity and difference. Through this, it is judged to explain the area of occupational therapy with ICF for non-expert and other experts, but it is considered to have limitation to the communication between the experts of occupational therapy. In order to overcome the difference between OTPF and ICF, it would be necessary to have much more researches of comparing widely OTPF and ICF from the perspective of occupational therapy.

The Development of Education Method and Model for Convergence Reading Education in School Library (학교도서관 융합독서교육을 위한 교육방법 및 모형개발)

  • Cho, Soo-Youn;Cho, Miah
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.2
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    • pp.5-33
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    • 2022
  • In this study, the direction and contents of public education to develop competencies that are in line with the 2022 revised curriculum and the paradigm of future education were sought, and a plan for reading education was prepared. A creative and cooperative problem-solving method and process as not only information literacy ability to read, select, and reconstruct information but also transformative competency to respond to uncertain future and diversified situations are important amid the complex, pluralistic and rapid development of information and communication technology It was intended to give an experience of exploring and communicating through reading in order to explore and derive it. Analyze the general outline and syllabus of the curriculum, international education project definitions and indicators, and organize academic theories and research to set the direction and goal of high school reading education, and organize creative and convergence class strategies and reading activities A library reading class model was developed. Accordingly, the class model was revised by applying the development research method, and the final model was developed by supplementing it through field application evaluation. In order to achieve the research purpose end, a two-round Delphi survey was conducted on 10 reading education and curriculum experts. The model modified through the Delphi survey was developed in the final school library convergence reading class model by demonstrating the class in the educational field and supplementing it through application evaluation.

Prediction Model of Real Estate ROI with the LSTM Model based on AI and Bigdata

  • Lee, Jeong-hyun;Kim, Hoo-bin;Shim, Gyo-eon
    • International journal of advanced smart convergence
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    • v.11 no.1
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    • pp.19-27
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    • 2022
  • Across the world, 'housing' comprises a significant portion of wealth and assets. For this reason, fluctuations in real estate prices are highly sensitive issues to individual households. In Korea, housing prices have steadily increased over the years, and thus many Koreans view the real estate market as an effective channel for their investments. However, if one purchases a real estate property for the purpose of investing, then there are several risks involved when prices begin to fluctuate. The purpose of this study is to design a real estate price 'return rate' prediction model to help mitigate the risks involved with real estate investments and promote reasonable real estate purchases. Various approaches are explored to develop a model capable of predicting real estate prices based on an understanding of the immovability of the real estate market. This study employs the LSTM method, which is based on artificial intelligence and deep learning, to predict real estate prices and validate the model. LSTM networks are based on recurrent neural networks (RNN) but add cell states (which act as a type of conveyer belt) to the hidden states. LSTM networks are able to obtain cell states and hidden states in a recursive manner. Data on the actual trading prices of apartments in autonomous districts between January 2006 and December 2019 are collected from the Actual Trading Price Disclosure System of the Ministry of Land, Infrastructure and Transport (MOLIT). Additionally, basic data on apartments and commercial buildings are collected from the Public Data Portal and Seoul Metropolitan Government's data portal. The collected actual trading price data are scaled to monthly average trading amounts, and each data entry is pre-processed according to address to produce 168 data entries. An LSTM model for return rate prediction is prepared based on a time series dataset where the training period is set as April 2015~August 2017 (29 months), the validation period is set as September 2017~September 2018 (13 months), and the test period is set as December 2018~December 2019 (13 months). The results of the return rate prediction study are as follows. First, the model achieved a prediction similarity level of almost 76%. After collecting time series data and preparing the final prediction model, it was confirmed that 76% of models could be achieved. All in all, the results demonstrate the reliability of the LSTM-based model for return rate prediction.

Text Mining Analysis of News Articles Related to 'Space Hazard' ('우주 위험' 관련 뉴스 기사의 텍스트 마이닝 분석 연구)

  • Jo, Hoon;Sohn, Jungjoo
    • Journal of the Korean earth science society
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    • v.43 no.1
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    • pp.224-235
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    • 2022
  • This study aimed to confirm the status of media reports on space hazards using topic modeling analysis of media articles that are related to space hazards for the past 12 years. Therefore, Latent Dirichlet Allocation (LDA) analysis was performed by collecting over 1200 space hazards articles between 2010 and 2021 on solar storm, artificial space objects, and natural space objects from BIGKins news platform. The articles related to solar storm focused on three topics: the effect of solar explosion on satellites; effect of solar explosion on radio communication in Korea, centered on the Korean Space Weather Center; and relationship between aircrew and space radiation. The articles related to artificial space objects focused on three topics: the threat of space garbage to satellite and space stations and the transition of useful objects into space junk; the relationship between space garbage and humanity as shown in movies; and the effort of developed countries for tracking, monitoring, and disposing of space garbage. The articles related to natural space objects focused on two topics: International Space Agency's tracking and monitoring of near-Earth asteroids and the countermeasures of collisions, and the evolution and extinction of dinosaurs and mammals, with a focus on the collisions of asteroids or comets. Therefore, this study confirmed that domestic media play a role in conveying dangers of space hazards and arousing the attention of public using a total of eight themes in various fields such as society and culture, and derived education method and policy on space hazards.

Study on future advertising change according to the development of artificial intelligence and metaverse (인공지능과 메타버스 발전에 따른 미래 광고 변화에 관한 연구)

  • Ahn, Jong-Bae
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.873-879
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    • 2022
  • In the future, AI and the metaverse are becoming so powerful that their application areas and influences are swallowing up the world. The advertising field is no exception, and it is becoming more important to predict, analyze, and strategize these future changes. In order to study the future change of advertising according to the development of artificial intelligence and metaverse, literature research related to the development of artificial intelligence and metaverse technology and the resulting change in the advertising environment, in-depth interviews with future and advertising experts, and Delphi technique research method I want to study change. First, through this study, we would like to examine the opinions of experts through in-depth interviews on the development of artificial intelligence and metaverse technology and the changes in the advertising sector in the post-coronavirus era of civilizational transformation. In addition, the Delphi technique is used to determine how important the change is by future advertising technology area, future advertising media area, future advertising form area, future advertising effect area, future advertising application area, and future advertising process area, and at what point in the future it will change. In addition, we want to study how the future advertising form will change in detail. Also, based on this, we would like to propose a countermeasure for the advertising industry.

A study on 3D design and SNS developmenst using teddy bear character (테디베어 캐릭터를 응용한 3D 디자인 및 SNS 개발에 관한 연구)

  • Jeong, Yooseob
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.123-136
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    • 2021
  • Teddy bear is a typical rag doll which has been loved by people all over the world for more than 100 years based on its cute and friendly image. In addition, as it has been together for a long time with us, it is considered as a friend of people with memories of all ages and sexes, not just animal doll. Teddy bear has been developing its appearance and character continually playing a role as the symbol of society and issues of an era beyond toys, however it still remains in the image of stuffed toys. Therefore, more advanced teddy bear characters should be created in line with the current environment and market conditions that are undergoing major changes based on the Internet and smart phones. Thus, the concept of the character and the recent development of the market were reflected and the meaning and current image of teddy bears were analyzed to develop new teddy bear stories, worldviews, and characters through design process. And it was created 3D characters, videos, and SNS channels through the developed 3D character design and motion design. Furthermore, we want to take a look at the direction in which Korea's character business can develop in accordance with global changes and suggest the possibility of entering as a character powerhouse.

A Multi-speaker Speech Synthesis System Using X-vector (x-vector를 이용한 다화자 음성합성 시스템)

  • Jo, Min Su;Kwon, Chul Hong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.675-681
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    • 2021
  • With the recent growth of the AI speaker market, the demand for speech synthesis technology that enables natural conversation with users is increasing. Therefore, there is a need for a multi-speaker speech synthesis system that can generate voices of various tones. In order to synthesize natural speech, it is required to train with a large-capacity. high-quality speech DB. However, it is very difficult in terms of recording time and cost to collect a high-quality, large-capacity speech database uttered by many speakers. Therefore, it is necessary to train the speech synthesis system using the speech DB of a very large number of speakers with a small amount of training data for each speaker, and a technique for naturally expressing the tone and rhyme of multiple speakers is required. In this paper, we propose a technology for constructing a speaker encoder by applying the deep learning-based x-vector technique used in speaker recognition technology, and synthesizing a new speaker's tone with a small amount of data through the speaker encoder. In the multi-speaker speech synthesis system, the module for synthesizing mel-spectrogram from input text is composed of Tacotron2, and the vocoder generating synthesized speech consists of WaveNet with mixture of logistic distributions applied. The x-vector extracted from the trained speaker embedding neural networks is added to Tacotron2 as an input to express the desired speaker's tone.

Analysis of sedation and general anesthesia in patients with special needs in dentistry using the Korean healthcare big data

  • Kim, Jieun;Kim, Hyuk;Seo, Kwang-Suk;Kim, Hyun Jeong
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.22 no.3
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    • pp.205-216
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    • 2022
  • Background: People with special needs tend to require diverse behavioral management in dentistry. They may feel anxious or uncomfortable or may not respond to any communication with the dentists. Patients with medical, physical, or psychological disorders may not cooperate and therefore require sedation (SED) or general anesthesia (GA) to receive dental treatment. Using the healthcare big data in Korea, this study aimed to analyze the trends of SED and GA in special needs patients undergoing dental treatment. It is believed that these data can be used as reference material for hospitals and for preparation of guidelines and related policy decisions of associations or governments for special needs patients in dentistry. Methods: The study used selected health information data provided by the Korean National Health Insurance Service. Patients with a record of use of one of the eight selected drugs used in dental SED between January 2007 and September 2019, those with International Classification of Diseases-10 codes for attention deficit hyperactivity disorder (ADHD), phobia, brain disease, cerebral palsy, epilepsy, genetic disease, autism, mental disorder, mental retardation, and dementia were selected. The insurance claims data were analyzed for age, sex, sedative use, GA, year, and institution. Results: The number of special needs patients who received dental treatment under SED or GA from January 2007 to September 2019 was 116,623. Number of SED cases was 136,018, performed on 69,265 patients, and the number of GA cases was 56,308, implemented on 47,257 patients. In 2007, 3100 special needs patients received dental treatment under SED while in 2018 the number of cases increased 6 times to 18,528 SED cases. In dentistry, ADHD was the most common disability for SED cases while phobia was the most common cause of disability for GA. The male-to-female ratio with respect to SED cases was higher for males (M : F = 64.36% : 35.64%). Conclusion: The application of the SED method and GA for patients with special needs in dentistry is increasing rapidly; thus, preparing guidelines and reinforcing the education and system are necessary.

Design and Implementation of Virtual Reality Prototype Crane Training System using Unity 3D (Unity 3D를 이용한 가상현실 프로토타입 크레인 훈련 시스템 설계 및 구현)

  • Heo, Seok-Yeol;Kim, Geon-Young;Choi, Jung-Bin;Park, Ji-Woo;Jeon, Min-Ji;Lee, Wan-Jik
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.569-575
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    • 2022
  • It is most desirable to build a crane training program in the same evvironment as the actual port, but it has problem such as time constraint and cost. To overcome these limitations, next-generation training programs based on AR/VR are receiving a lot of attention. In this paper, a prototype of a harbor crane training system based on virtual reality was designed and implemented. The system implemented in this paper consists of two elements: an Arduino-based IoT terminal and an HMD equipped with a Unity application program. The IoT terminal consists of 2 controllers, 2 toggle switches, and 8 button switches to process data generated according to the user's operation. The HMD uses Oculus Quest2 and is connected to the IoT terminal through wireless communication to provide user convenience. The training system implemented in this paper is expected to provide trainees with a training environment independent of time and place through virtual reality and to save time and money.