• Title/Summary/Keyword: AI, Education

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MCU Development Guideline based on Advanced Microcontroller Bus Architecture (Advanced Microcontroller Bus Architecture 기반의 MCU 설계 가이드라인)

  • Chanhwi, Roh;Yeonsang, Oh;Donkyu, Baek
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.51-58
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    • 2022
  • Microcontroller (MCU) is designed to properly utilize each module through programming by connecting various modules to Advanced Microcontroller Bus Architecture (AMBA). General-purpose MCUs are designed for consumers to use them appropriately in their research or industry area. However, in a specific area such as networking and AI autonomous vehicles, it is necessary to design MCU suitable for the field directly. However, there is a significant barrier for most consumers to directly design an MCU. In this paper, we provide a development guideline that can easily design an MCU for education or research purpose. First, we introduce AMBA system with open IPs, and we verify that the module operates properly through AMBA and interrupt operation. Finally, the MCU system is designed as an on-chip.

Development of a Ream-time Facial Expression Recognition Model using Transfer Learning with MobileNet and TensorFlow.js (MobileNet과 TensorFlow.js를 활용한 전이 학습 기반 실시간 얼굴 표정 인식 모델 개발)

  • Cha Jooho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.3
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    • pp.245-251
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    • 2023
  • Facial expression recognition plays a significant role in understanding human emotional states. With the advancement of AI and computer vision technologies, extensive research has been conducted in various fields, including improving customer service, medical diagnosis, and assessing learners' understanding in education. In this study, we develop a model that can infer emotions in real-time from a webcam using transfer learning with TensorFlow.js and MobileNet. While existing studies focus on achieving high accuracy using deep learning models, these models often require substantial resources due to their complex structure and computational demands. Consequently, there is a growing interest in developing lightweight deep learning models and transfer learning methods for restricted environments such as web browsers and edge devices. By employing MobileNet as the base model and performing transfer learning, our study develops a deep learning transfer model utilizing JavaScript-based TensorFlow.js, which can predict emotions in real-time using facial input from a webcam. This transfer model provides a foundation for implementing facial expression recognition in resource-constrained environments such as web and mobile applications, enabling its application in various industries.

Welfare Policy Visualization Analysis using Big Data -Chungcheong- (빅데이터를 활용한 복지정책 시각화분석 -충청도 중심으로-)

  • Dae-Yu Kim;Won-Shik Na
    • Advanced Industrial SCIence
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    • v.2 no.1
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    • pp.15-20
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    • 2023
  • The purpose of this study is to analyze the changes and importance of welfare policies in Chungcheong Province using big data analysis technology in the era of the Fourth Industrial Revolution, and to propose stable welfare policies for all generations, including the socially underprivileged. Chungcheong-do policy-related big data is coded in Python, and stable government policies are proposed based on the results of visualization analysis. As a result of the study, the keywords of Chungcheong-do government policy were confirmed in the order of region, society, government and support, education, and women, and welfare policy should be strengthened with a focus on improving local health policy and social welfare. For future research direction, it will be necessary to compare overseas cases and make policy proposals on the stable impact of national welfare policies.

Leadership and Communication Skills Towards Emotional Intelligence: A Case Study of FPT University in Vietnam

  • NGUYEN, Trong Luan;NGUYEN, Ha Ai My;LUU, Pham Thao Nguyen;LE, Minh Anh;NGUYEN, Thi Anh Thu;NGUYEN, Ngoc Tram
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.53-61
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    • 2022
  • As society evolves, people are making more of an effort to learn more about human aspects, one of which is emotional intelligence, a topic on which education experts have traditionally concentrated. This is due to the fact that emotional intelligence has a significant impact on how people think and manage their emotions. On the other side, it promotes the development of expressive ability and aids people in better adapting to life. This study explores the relationship between communication skills, leadership skills, stress management, adaptability, and emotional intelligence of FPT University students to determine the factors that affect students' emotional intelligence. To survey 500 FPT University students, this study used a sample size of 500. Previous studies used a 5-point Likert scale to assess the four skill elements. According to the results, students who completed the survey showed adequate communication skills, leadership qualities, stress management, adaptability, and emotional intelligence. Emotional intelligence is influenced by communication skills, leadership abilities, stress management, and flexibility. This suggests that students who master these four skills have higher levels of emotional intelligence. The outcomes of this study reveal that students have been conscious of Emotional Intelligence since a young age. The affirmations in this research paper will benefit students and young people interested in enhancing complimentary soft skills that boost Emotional Intelligence.

Development of diet-based personalized nutritional supplement recommendation system (식단 기반 개인 맞춤형 영양제 추천 시스템 개발)

  • Hong, Seong-Jun;Lee, Min-Hee;Jang, Jae-Ri;Jeong, Ha-Eun;Hong, Yu-Ri;Lee, Jee-Hang;Kim, Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.359-361
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    • 2022
  • 최근 현대인의 영양불균형이 점점 심화됨에 따라 영양결핍과 비만의 위험도가 점점 증가하고 있다. 이에 따라 건강기능식품에 대한 관심이 증가하여 일반인들의 건강기능식품 소비가 증가하고 있지만, 적정섭취량에 비해 영양소를 과도하게 섭취 중이거나 영양제를 먹지만 정작 필요한 영양소를 섭취하지 못하는 경우가 빈번히 나타나고 있다. 이러한 문제를 해소하고자 본 논문에서는 7 일간 사용자가 섭취한 식단을 기반으로 부족한 영양소를 수치상으로 계산하여 개인 맞춤 영양제를 추천하는 시스템을 제안한다.

A Study on Activation Plan for Logistics Startups in Korea - Focused on Incheon Metropolitan City (물류 스타트업 육성방안에 관한 연구 -인천광역시를 중심으로-)

  • Dong-Joon Kang;Myeong-Hwa Lee;Hyo-Won Kang
    • Korea Trade Review
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    • v.46 no.2
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    • pp.263-280
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    • 2021
  • With the advent of the era of the 4th Industrial Revolution, various support policies and programs are being introduced as the promotion of startups related to the 4th industry is promoted as a core policy of the government. Based on major technologies such as Artificial Intelligence(AI), Big Data, Internet of Things(IoT), Blockchain, and Automation leading the 4th industrial revolution, logistics and distribution companies are expanding the range of markets and services provided. The purpose of this study is to examine the current status of startups in the logistics field based on major technologies of the 4th Industrial Revolution, which are rapidly growing at home and abroad, and suggest implications for revitalizing logistics startups through a policy demand survey. As a result of the study, in order to foster domestic logistics startups, we propose policy support for integration of logistics startups, integrated management of information, provision of physical space, network platform, and practical education and mentoring.

Information Distribution of Sport Social Networking Sites: Their Use in Promoting Psychological Well-Being

  • Seung Hwan PARK;Min Soo KIM;Miok KIM;Seungmin LEE;Taeyeon OH;Sun Ju KIM;Won Jae SEO
    • Journal of Distribution Science
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    • v.22 no.3
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    • pp.83-92
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    • 2024
  • Purpose: With the rapid information distribution of sport-related SNS, sport industry has utilized SNS as technical solution to distribute sport and health-related information. The current study examined the effect of SNS information use for running-specific content on running engagement and psychological well-being. Research design, data and methodology: Data were collected via online survey of participants in marathon events of United States. Descriptive statistics and Chi-square test were conducted to compare demographics and psycho-behavioral outcomes among SNS information users and non-users for running-specific contents. Multivariate hierarchical regression was next employed to examine research hypotheses. Results: A mass-participant running event was used to test seven hypotheses related to the potential role of SNS for running content in promoting running engagement and life satisfaction. In general, findings revealed that use of SNS for running content along with frequency of use can perhaps facilitate running intensity and influence participation in running-related outdoor activities. Furthermore, while overall life satisfaction did not appear to be influenced by use of SNS for running content, there was a demonstrated influence on the individual satisfaction domains. Conclusions: The findings of current study suggest that sport SNS is information distribution media enhancing users' engagement and their six life satisfaction domains. Further implications were discussed.

Appeared In a Domestic YouTube Video A Study on Makeup Characteristics According to Emotional Emages

  • Na-Hyun, An
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.1-10
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    • 2024
  • While technologies such as the 4th revolution and artificial intelligence (AI), which create new value through the convergence of intelligent information technology, are becoming hot topics, the beauty industry is rapidly developing and combining information and communication technology to produce beauty items based on smartphones among mobile technologies. As the area of expands, YouTube is forming a network through various means of information. In particular, beauty-related YouTube videos are a field of great interest and popularity among the public. By classifying the makeup characteristics according to the emotional images shown in domestic YouTube videos by emotional image and identifying the characteristics of makeup, the needs for watching YouTube makeup videos are identified. We aim to build trust in the delivery of information about makeup. The emotional images were divided into four types: 'modern', 'natural', 'gorgeous', and cute. Among the domestic makeup YouTubers, Pony, Isabe and Shinnim, Lamuque were selected. By organizing more diverse makeup-related content systematically and creatively, we expect to have a positive influence on k-makeup not only domestically but also overseas. We aim to provide basic data for follow-up research on makeup YouTuber videos in the field of cosmetology and contribute to marketing plans for the development of the beauty content industry and establishment of promotional strategies.

An Analysis of the Range of Brightness Temperature Differences Associated with Ground Based Mass Concentrations for Detecting the Large-scale Transport of Haze (광역적 이동 연무 탐지를 위한 지상 질량 농도를 고려한 적외채널 밝기온도차 경계값 범위 분석)

  • Kim, Hak-Sung;Chung, Yong-Seung;Cho, Jae-Hee
    • Journal of the Korean earth science society
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    • v.37 no.7
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    • pp.434-447
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    • 2016
  • This study analyzed mass concentrations of PM10 and PM2.5, as measured at Tae-ahn and Gang-nae, Cheongju in central Korea over the period from 2011 to 2015. Higher mass concentrations of PM10, with the exception of dustfall cases during the period of winter and spring, reflected the influence of a prevailing westerly airflow, while the level of PM10 stayed at a low level in summer, reflecting the influence of North Pacific air mass and frequent rainfall. Accordingly, cases where a daily PM10 average of $81{\mu}gm^{-3}$ or over (exceeding the status of fine dust particles being 'a little bit bad') were often observed during the period of winter and spring, with more cases occurring in parts of Tae-ahn that are located close to the sources of pollutant emission in eastern China. Dustfall usually originated from dust storms made up of particles $2.5{\mu}m$ or over in diameter. However, anthropogenic haze displayed a high composition ratio of particulate less than $2.5{\mu}m$ in diameter. Accordingly, brightness temperature difference (BTD) values from the Communication, Ocean and Meteorological Satellite (COMS) were $-0.5^{\circ}K$ or over in haze with fine particulate. PM10 mass concentrations and NOAA 19 satellite BTD for haze cases were analyzed. Though PM10 mass concentrations were found to be lower than $200{\mu}g\;m^{-3}$, the mass concentration ratio of PM2.5/PM10 was measured as higher than 0.4 and BTD was found to be distributed in the range from -0.3 to $0.5^{\circ}K$. However, the BTD of dustfall cases exceeding $190{\mu}g\;m^{-3}$, were found to be less than 0.4 and BTD was found to be distributed in the range less than $-0.7^{\circ}K$. The result of applying BTD threshold values of the large-scale transport of haze proved to fall into line with the range over which aerosols of MODIS AOD and OMI AI were distributed.

The Impact of Edu-Tech and Tangible and Intangible Services of Private Institutes on parents' Intention for Re-Enrollment: The Moderating Effect of Rapport-Building Behavior (학원의 에듀테크특성과 유·무형적서비스가 학부모의 재수강의도에 미치는 영향: 라포형성행동의 조절효과)

  • Jeon, Ji-Yeon;Ha, Tae-Kwan
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.4
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    • pp.127-139
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    • 2024
  • This study investigates the impact of edutech characteristics and both tangible and intangible educational services on the intention to re-enroll, which is directly related to the management performance of private institutes. The study aims to propose strategies to improve re-enrollment intentions and management performance based on the findings. Private education has grown continuously, complementing the limitations of public education and increasing parental dependence. This study tested the hypothesis that edutech characteristics, intangible services, and tangible services, increasingly utilized with the development of information and communication technology, would influence re-enrollment intentions. It also examined whether rapport-building behavior with parents would have a moderating effect on this relationship. The hypothesis testing results showed that among the edutech characteristics, content, intangible services such as reliability and empathy, and tangible services such as tangibility and payment accessibility positively impacted re-enrollment intentions. The hypothesis that rapport-building behavior would moderate the relationship between educational services and re-enrollment intentions was supported for empathy in intangible services and tangibility in tangible services. Based on these findings, the study proposed three strategies to improve management performance of private institutes. First, in terms of improving and managing edutech characteristics, it suggested introducing and updating edutech content and ensuring operational stability. Second, for improving and managing intangible services, it recommended managing instructor recruitment and training to enhance quality and competence, maintaining professionalism through continuous education by credible institutions, and providing level-based education for students based on the qualitative improvement of educational programs. Third, to improve and manage tangible services, it suggested setting appropriate tuition fees, offering various payment methods (online, mobile, card, bank transfer) unrestricted by time and place, and equipping interiors and facilities that enable focused learning. Additionally, considering the moderating effect of rapport-building behavior, it emphasized that improvements and management requiring costs are necessary, but making parents feel a high level of tangibility through rapport-building is also important. Furthermore, given the increasing importance of edutech based on information and communication technology, the study highlighted the need for various support measures such as government technological support and venture certification system support for institutes with an entrepreneurial spirit aiming to introduce innovative technologies such as AI technology based on large language models and AR/VR-applied metaverse environments. This study is expected to help improve the management performance of private institutes by specifically suggesting items and methods for improvement and management in the educational field.

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