• Title/Summary/Keyword: Smart Industry-Academic Cooperation

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A Study on the Establishment of Platform for Smart Campus Ecosystem (스마트 캠퍼스 생태계를 위한 플랫폼 구축에 관한 연구: 대학생 핵심역량개발과 취업지원을 중심으로)

  • Seo, Byeong-Min
    • Journal of Industrial Convergence
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    • v.17 no.3
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    • pp.39-49
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    • 2019
  • This study, as a study on building platforms for smart campus ecosystem, took an approach that reflected the needs of various stakeholders of smart campus, and focused on functions to help them strengthen their competitiveness and advance into society by focusing on the learning of the most important university student users, college life, and social connection. First, we looked at the theories related to smart campus construction through prior research, and next, through domestic and international environmental analysis and trend analysis, we designed and presented a target model for e-portfolio focusing on core competency development and support system for Industry-Academic Cooperation, and proposed the main point for continuous smart campus development model.

Mechanism Method for Smart Work and the Creation of IT Job (스마트워크와 IT의 일자리창출을 위한 메커니즘 방안)

  • Kim, Man-Ki
    • Journal of Digital Convergence
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    • v.10 no.2
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    • pp.55-61
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    • 2012
  • This space is for the abstract of your study in English. Recently, we began to face a significant change in our daily lives due to the expansion of the use of smartphones. In this regard, this study aims at examining the mechanism of Smart Work, necessary for the creation of job, led by the use of smart devices, and ways of its development. Accordingly, this study defined concepts of Smart Work clearly and analyzed the convergence of information through IT, the exploitation of new markets, derived from information industry, along with foreign cases of job creation through ICT. Furthermore, change in people's cultural recognition is required for the place of smart Work. For example, cluster development based on the public-private cooperation will promote the creation of job. In addition, the cooperation of the academic world and the service industry will play a leading role in developing local economy. To attain this end, the policy support of government for Smart Work and the public-private cooperation are needed.

University-Industry Cooperation for Creative Convergence Technology Fields (창의형 융합기술분야 산학협력방안)

  • Cho, Han-Jin;Kim, Geun-Chae;Kim, Ki-Bong
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.271-278
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    • 2016
  • University-industry cooperation is indispensable for a short-term problem solving, as well as sustainable growth in the economy of the Republic of Korea. In order to embody and implement that, the government has run a variety of financial assistance programs and policies for the promotion of the cooperation for the last 10 years, and Korea Sanhak Foundation has made progress in academic and research development support, creative personnel training and scholarships, International Support and other projects. In this paper, window-type university-industry convergence and practices, and analyzing the best practices of national and international IT-based fusion technology, corporate cooperation were established to support measures taken in conjunction type and model of the university. Industry utilizing the latest IT technology based on this model, academia, proposed a collaboration system between workers building measures.

Influence of Hanwoo (Korean Native Cattle) Manure Compost Application in Soil on the Growth of Maize (Zea mays L.) (한우퇴비 시용에 따른 옥수수(Zea mays L.)의 생육에 미치는 영향)

  • Byeon, Ji-Eun;Lee, Jun Kyung;Park, Min-Soo;Jo, Na Yeon;Kim, Soo-Ryang;Hong, Sung-ha;Lee, Byong-O;Lee, Myung-Gyu;Hwang, Sun-Goo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.67 no.3
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    • pp.164-171
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    • 2022
  • We studied the influence of Hanwoo (Korean native cattle) manure compost soil application on the growth and yield of maize (Zea mays L.). We compared the soil application of chemical fertilizer (CF), commercial manure (CM), Hanwoo manure (HM), and the mixed Hanwoo manure and chemical fertilizer (HM + CF). CF application showed faster tasseling and silking dates compared to the other treatments. During the early plant growth stage of maize, CF application resulted in taller plant height, However, during later growth stages (55 days after transplanting). HM (226.0 cm) and HM + CF (230.0 cm) treatment resulted in taller plant height compared to CF (216.2 cm). Post-harvest measurement results showed that, the ear length was longer in HM (22.13 cm) and HM + CF (22.70 cm) compared to others, while ear diameter, ear weight, and 100-grains weight showed no significant difference among CF, HM, and HM + CF groups. The use of HM resulted in delayed growth during the early stages of plant development compared to CF. However, crop productivity markers of ear weight and ear diameter showed no significant difference compared to CF. Thus, HM treatment was comparable to CF treatment in maize cultivation.

The Direction of Innovation in Curriculum of Universities in the Fourth Industrial Revolution

  • Hwang, Eui-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.11
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    • pp.229-238
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    • 2020
  • Upcoming 4th industrial revolution era and the post-covid19 made procedure, contents, and the ways of education innovative changes. Thesis analyzed the changes of educational procedures of universities unsing Bigkinds of 'KPF', (which is Korea Press Foundation) and DataLab system of 'Naver'. The following three results were derived from relational analysis, monthly keyword trend, and related word analysis with 633 cases searched for the keyword of "university curriculum innovation, creativity, and convergence." Firstly, the frequency of relationship keyword analysis of recent 4 years(2016~2020) was ministry of education(190), industrial revolution(154), system(137), career(136), global(131), smart(97), and enrolled students(95) in order. Secondly, The frequency of keywords related to the related words was Human Resources Development (136), Industrial-Academic Cooperation (119), Education Ministry (86), Specialization (69), and LiNC (62), which showed the importance of supporting the government (Ministry of Education) and fostering human resources, industry-academic cooperation, LiNC, and characterization in order to foster human resources in universities. According to this study, the paradigm of education is the artificial intelligence environment of the fourth industrial revolution, which is meaningful in presenting the direction of specialization, industry-academic cooperation, smart, and globalization, and the future direction of education that fosters creative talent in the era of the fourth industrial revolution.

Evaluation of Ergonomic Performance of Medical Smart Insoles

  • Yi, Jae-Hoon;Lee, Jin-Wook;Seo, Dong-Kwon
    • Physical Therapy Rehabilitation Science
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    • v.11 no.2
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    • pp.215-223
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    • 2022
  • Objective: This study was to resolve the limitations of the experimental environment and to solve the shortcomings of the method of measuring human gait characteristics using optical measuring instruments. Design: A cross-sectional study. Methods: Fifteen healthy adults without a history of orthopedic surgery on the lower extremities for the past 6 months were participated. They were analyzed gait variables using the smart guide and the 3D image analysis at the same time, and their results were compared. Visual-3D was used to calculate the analysis variables. Results: The reliability and validity of the data according to the two measuring instruments were found to be very high; gait speed(0.85), cycle time(0.99), stride time of both feet(0.98, 0.97) stride legnth of both feet(0.86, 0.88) stride per minute of both feet(0.99, 0.96), foot speed of both feet(0.90, 0.91), step time of both feet(0.77, 0.71), step per minute(0.72, 0.74), stance time of both feet(0.96, 0.97), swing time of both feet(0.93, 0.79), double step time(0.81), initial double step time(0.84) and terminal step time(0.76). Conclusions: In the case of the smart insole, which measures human gait variables using the pressure sensor and inertial sensor inserted in the insole, the reliability and validity of the measured data were found to be very high. It can be used as a device to replace 3D image analysis when measuring pathological gait.

A Study on the Development of a Full-Cycle Smart City Living Lab Model (전주기형 스마트시티 리빙랩 모델 개발 연구)

  • Park, Jun-Ho;Park, Jeong-Woo;Nam, Kwang-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.5
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    • pp.162-170
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    • 2021
  • The Smart City Living Lab is becoming important as a local innovation platform to develop urban solutions. In January 2018, the 4th industrial innovation committee, which was a direct subordinate from the president, empathized citizens' participation and their roles within the Smart City [Urban Innovation and Future Growth Engine-Creating Smart City Strategy]. This was the starting point of the living lab. The central government and local governments have been promoting various types of living labs to encourage citizens to participate. On the other hand, due to the lack of systematic concepts and theories for practicing and structuring living labs, the practice is not performed well. This study aimed to develop systematic approaches and implementation methods of the public-led Smart City Living Lab. The Full-cycle Smart City living Lab model was designed by integrating smart city living lab work processes, as suggested in the standards of the national land plan, double design diamond framework, which is a type of innovative design methodology, and design thinking process. The entire cycle Smart City living lab model requires four components to practice the living lab, such as framework, module, process, and methodologies. In the future, this model is expected to be incorporated in the Smart City Living Lab.

Market trends and business opportunities of the smart insole technology (스마트인솔기술의 시장동향 및 사업화 기회)

  • Park, Jae-Sue;Park, Jung-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.7
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    • pp.1389-1397
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    • 2016
  • This study was to evaluate opportunities for the commercialization of smart insole. smart technology is evolving to Insole. Pressure-sensitive sensor or an acceleration sensor is applied to create a balance of the feet and body, is also evolving for entertainment (sports, entertainment, etc.) and health care. Moreover, smart insole can fix an incorrect walking habit by sending a weight value measured by the sensor on a smartphone and during the movement, smart insole helps to correct body balance by measuring the center of gravity moving condition. However, smart tendency of the insole has yet to create a clear boundary in the entertainment and healthcare markets. This is because the fitness band, smart socks, smart shoes can also replace the benefits of a smart insole. Interestingly, the business opportunities are appearing more frequently in health care solution service of electrocardiogram, body temperature, blood pressure, etc., rather than smart devices.

Implementation of On-Device AI System for Drone Operated Metal Detection with Magneto-Impedance Sensor

  • Jinbin Kim;Seongchan Park;Yunki Jeong;Hobyung Chae;Seunghyun Lee;Soonchul Kwon
    • International journal of advanced smart convergence
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    • v.13 no.3
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    • pp.101-108
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    • 2024
  • This paper addresses the implementation of an on-device AI-based metal detection system using a Magneto-Impedance Sensor. Performing calculations on the AI device itself is essential, especially for unmanned aerial vehicles such as drones, where communication capabilities may be limited. Consequently, a system capable of analyzing data directly on the device is required. We propose a lightweight gated recurrent unit (GRU) model that can be operated on a drone. Additionally, we have implemented a real-time detection system on a CPU embedded system. The signals obtained from the Magneto-Impedance Sensor are processed in real-time by a Raspberry Pi 4 Model B. During the experiment, the drone flew freely at an altitude ranging from 1 to 10 meters in an open area where metal objects were placed. A total of 20,000,000 sequences of experimental data were acquired, with the data split into training, validation, and test sets in an 8:1:1 ratio. The results of the experiment demonstrated an accuracy of 94.5% and an inference time of 9.8 milliseconds. This study indicates that the proposed system is potentially applicable to unmanned metal detection drones.