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Growth of Globalization Cultural Spread and Technological Innovation Study with Anti-Globalization (세계화의 문화 확산과 반세계화에 따른 기술혁신 성장연구)

  • Seo, Dae-Sung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.769-777
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    • 2023
  • Globalization has brought about rapid economic, technological, and cultural changes. In order for countries around the world to communicate, recognize and understand globalization, creativity or planning ability can be used to code. In this paper, we would like to present and prove a data analysis that can solve world problems. In the global market, the value of goods or services increases with connectivity. This connection is becoming one of the factors that increase the value of culture. Changes taking this into account promoted cultural spread and innovative growth, and increased productivity and competitiveness in each region of the world. This paper compares the income of the middle class in the United States on the impact of globalization and anti-globalization on cultural spread and innovative growth. Globalization has created an environment in which various elements of K-culture can interact and spread. Through the Internet, social media, and international travel, globalization has had a positive impact on Korea's innovative growth. In areas such as economic activity, technological innovation, and creative industries, globalization has facilitated new tech and approaches, Through this, it changed the existing economic model and contributed to exports K-culture with a new middle class model. However, globalization in the cultural industry can result in the loss of regional characteristics & individuality, which can lead to the middle class cultural unification and alienation(chasm). As a result of the empirical analysis of K-exports for the middle income in the United States, cultural diffusion and innovation must be developed even in anti-globalization. With these industrial changes the soft power value of the Korean Wave proves that it can create value for use for the middle class of major exporting countries.

A Study on the AI Analysis of Crop Area Data in Aquaponics (아쿠아포닉스 환경에서의 작물 면적 데이터 AI 분석 연구)

  • Eun-Young Choi;Hyoun-Sup Lee;Joo Hyoung Cha;Lim-Gun Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.861-866
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    • 2023
  • Unlike conventional smart farms that require chemical fertilizers and large spaces, aquaponics farming, which utilizes the symbiotic relationship between aquatic organisms and crops to grow crops even in abnormal environments such as environmental pollution and climate change, is being actively researched. Different crops require different environments and nutrients for growth, so it is necessary to configure the ratio of aquatic organisms optimized for crop growth. This study proposes a method to measure the degree of growth based on area and volume using image processing techniques in an aquaponics environment. Tilapia, carp, catfish, and lettuce crops, which are aquatic organisms that produce organic matter through excrement, were tested in an aquaponics environment. Through 2D and 3D image analysis of lettuce and real-time data analysis, the growth degree was evaluated using the area and volume information of lettuce. The results of the experiment proved that it is possible to manage cultivation by utilizing the area and volume information of lettuce. It is expected that it will be possible to provide production prediction services to farmers by utilizing aquatic life and growth information. It will also be a starting point for solving problems in the changing agricultural environment.

A Survey of Occupational Therapists' Perceptions of Telerehabilitation Dementia Prevention Education (비대면 치매 예방 교육에 대한 작업치료사의 인식 조사)

  • Kim, Min-Ji;Shin, Won-Mi;Yang, Yeong-Ae
    • Therapeutic Science for Rehabilitation
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    • v.11 no.1
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    • pp.35-47
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    • 2022
  • Objective : In this study, we conducted a questionnaire survey of occupational therapists to examine their perceptions on and willingness to provide telerehabilitation dementia prevention education. Methods : From March 13 to 19, 2021, a questionnaire survey targeting occupational therapists in Busan, Ulsan, and Gyeongnam was conducted. 100 questionnaires were distributed but only 70 were collected. The collected data were subjected to frequency analysis and descriptive statistics using the statistical program SPSS version 23.0. Results : The average scores by region were as follows. The average compatibility score was highest at 3.92 score, intention to providing education, doctors 3.89 score, community-centric rehabilitation awareness 3.81 score, cost saving 3.78 score, perceiver usefulness 3.75 score, accessibility 3.62 score, the quality of telerehabilitation service was in order of 3.49 score. Conclusion : All items asking whether occupational therapists participate in community-centered rehabilitation and non-face-to-face dementia prevention education programs showed high scores, indicating the willingness to participate actively. In the future, in addition to follow-up research on the implementation of telerehabilitation dementia prevention education, measures for improving accessibility within the local and national government should be discussed.

Factors Affecting Subjective Life Expectancy of The Elderly: A Comparison Three Age Groups (노인의 주관적 기대여명에 영향을 미치는 요인: 연령집단별 개입요인 비교)

  • Kim, Yeon Gyeong;Kim, Clara Tammy
    • 한국노년학
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    • v.39 no.4
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    • pp.699-721
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    • 2019
  • The purpose of this study was to examine and compare factors affecting the subjective life expectancy among the elderly, and to suggest health practice and social welfare service implications for later life. A total of 4,483 seniors from the 6th wave(2016) of the Korean Longitudinal Study on Aging (KLoSA) were used for analysis. The subjects were divided into three age groups: the young-old (n=2,106, 65~74 years), middle-old (n=1,803, 75~84 years), and oldest-old (n=574, 85 years and older). Control variables were sociodemographic factors and health status factors. Independent variables were health promotion behavior, cognition of public care, participating social activity, economic activity, and receiving basic pension. The data were analyzed using hierarchical multiple regression. The main results were as follows. Health promotion behavior was associated with the young-old. Social activities and economic activity were associated with the young-old and middle-old. Receiving basic pension had a significant impact on all age groups. In the middle-old, significant results were focused on socio-demographic and health status factors compared to other groups. The results of this study will provide basic data for the elderly policy and welfare service and will help to find and improve the important factors for the life of the elderly.

The Perception Analysis of Autonomous Vehicles using Network Graph (네트워크 그래프를 활용한 자율주행차에 대한 인식 분석)

  • Hyo-gyeong Park;Yeon-hwi You;Sung-jung Yong;Seo-young Lee;Il-young Moon
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.97-105
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    • 2023
  • Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.

Design and Implementation of an Ethereum-Based Deliverables Management System for Public Information Software Project (이더리움 기반 공공정보 소프트웨어 사업산출물 관리 시스템 설계 및 구현)

  • Lee, Eun Ju;Kim, Jin Wook
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.6
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    • pp.175-184
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    • 2022
  • Blockchain is being studied in various fields such as logistics, fintech, medical care, and the public sector. In the public information software project, some deliverables are omitted because the developed deliverables and the deliverables requested by the project management methodology do not match, and an additional process is required for payment. In this paper, we propose the deliverables management system for public information software project which is configured a distributed environment using the Ethereum blockchain and which has an automatic payment system only when all deliverables are approved. This system can keep the service available in case of system failure, provide transparency and traceability of deliverables management, and can reduce conflicts between the ordering company and the contractor through automatic payment. In this system, the information of deliverables is stored in the blockchain, and the deliverables that their file name is the hash value calculated by using the version information and the hash value of the previous version deliverable, are stored in the SFTP server. Experimental results show that the hash value of the deliverables registered by the contractor is correct, the file name of the deliverables stored in the SFTP server is the same as the hash value registered in the Ethereum blockchain, and the payment is made automatically to the Ethereum address of the contractor when all deliverables are approved.

Study on the feasibility of using AI image generation tool for fashion design development -Focused on the use of Midjourney (패션디자인 개발을 위한 AI 이미지 생성 도구의 활용 가능성 연구 -미드저니(Midjourney)의 활용을 중심으로)

  • Park, Keunsoo
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.237-244
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    • 2023
  • Today, AI is being applied to various industrial fields, leading to a paradigm shift in the overall industry. In the fashion industry, AI is also used to predict trends and provide various services for consumers, and in particular, AI image creation tools have the potential as a tool for fashion design development. This study investigated the possibilities and limitations of using Midjourny for fashion design development by creating images using Midjourney among AI image creation tools and identifying its characteristics. The characteristics of images created in Midjourney are as follows. First, it has the intuitiveness to create images by intuitively applying or combining images corresponding to commands. Second, there is randomness in which different images are generated when the same command is entered at different times. Third, when using existing images and commands together, the image created in Midjourney is more dependent on the existing image than the command. In conclusion, Midjourny's various image creation functions and the ability to change images according to commands can be helpful in developing original fashion designs. However, it is important to note that fashion designs that cannot be worn or made are sometimes presented. It is expected that the results of this study will serve as basic data for the use of AI image creation tools for fashion design development.

Research and improvement of image analysis and bar code and QR recognition technology for the development of visually impaired applications (시각장애인 애플리케이션 개발을 위한 이미지 분석과 바코드, QR 인식 기술의 연구 및 개선)

  • MinSeok Cho;MinKi Yoon;MinSu Seo;YoungHoon Hwang;Hyun Woo;WonWhoi Huh
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.861-866
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    • 2023
  • Individuals with visual impairments face difficulties in accessing accurate information about medical services and medications, making it challenging for them to ensure proper medication intake. While there are healthcare laws addressing this issue, there is a lack of standardized solutions, and not all over-the-counter medications are covered. Therefore, we have undertaken the design of a mobile application that utilizes image recognition technology, barcode scanning, and QR code recognition to provide guidance on how to take over-the-counter medications, filling the existing gaps in the knowledge of visually impaired individuals. Currently available applications for individuals with visual impairments allow them to access information about medications. However, they still require the user to remember which specific medication they are taking, posing a significant challenge. In this research, we are optimizing the camera capture environment, user interface (UI), and user experience (UX) screens for image recognition, ensuring greater accessibility and convenience for visually impaired individuals. By implementing the findings from our research into the application, we aim to assist visually impaired individuals in acquiring the correct methods for taking over-the-counter medications.

Comparative analysis of the digital circuit designing ability of ChatGPT (ChatGPT을 활용한 디지털회로 설계 능력에 대한 비교 분석)

  • Kihun Nam
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.967-971
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    • 2023
  • Recently, a variety of AI-based platform services are available, and one of them is ChatGPT that processes a large quantity of data in the natural language and generates an answer after self-learning. ChatGPT can perform various tasks including software programming in the IT sector. Particularly, it may help generate a simple program and correct errors using C Language, which is a major programming language. Accordingly, it is expected that ChatGPT is capable of effectively using Verilog HDL, which is a hardware language created in C Language. Verilog HDL synthesis, however, is to generate imperative sentences in a logical circuit form and thus it needs to be verified whether the products are executed properly. In this paper, we aim to select small-scale logical circuits for ease of experimentation and to verify the results of circuits generated by ChatGPT and human-designed circuits. As to experimental environments, Xilinx ISE 14.7 was used for module modeling, and the xc3s1000 FPGA chip was used for module embodiment. Comparative analysis was performed on the use area and processing time of FPGA to compare the performance of ChatGPT products and Verilog HDL products.

Analysis of Video Advertisement Production Direction based on Generation Z Lifestyle and SNS Status (Z세대 라이프스타일과 SNS 현황을 바탕으로 한 영상광고 제작 방향 분석)

  • Cho, Hyun Kyung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.539-544
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    • 2023
  • In this study, several important aspects were studied in producing video advertisements based on the lifestyle and SNS status of Generation Z. Generation Z highly values participation and interaction due to the nature of SNS, so SNS advertisements should be produced in a way that induces active interaction with viewers and accepts feedback. Here's a summary of the main parts. It prefers various content formats of Generation Z that consume information. Advertisements should be produced in various formats such as text, images, and videos, and should have flexibility suitable for various platforms. Because each SNS platform has its own characteristics due to platform specialization, this study suggests that advertisements analyze the characteristics of the platform and use the appropriate content strategy for the optimized platform. As an emphasis on value proposition, we propose an advertising format setting to focus on what value the product or brand provides. It is important to clearly emphasize the advantages and intrinsic value of a product or service in video advertising, and in conclusion, we propose to focus on the case of increasing interest by adopting modern and trendy design of storytelling as an attractive and unique design method of aesthetic design and visual effects. Considering these factors comprehensively, the research value of this paper will be able to establish an effective SNS marketing strategy by producing video advertisements that match the lifestyle and SNS usage characteristics of Generation Z.