• Title/Summary/Keyword: ICT technologies

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Case Study of Establishing and Operating Maker Space in A Developing Country - Focusing on iTEC Tech-shop in Tanzania - (개발도상국 메이커 스페이스 구축 및 운영 사례 - 탄자니아 iTEC 테크샵을 중심으로 -)

  • Im, Hyuck-Soon;Jung, Woo-Kyun;Ngajilo, Tunu Y.;Meena, Okuli;Lee, Ahnna;Ahn, Sung-Hoon;Rhee, Hyop-Seung
    • Journal of Appropriate Technology
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    • v.6 no.2
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    • pp.126-135
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    • 2020
  • Recently, with the development of the 4th Industrial Revolution era and the popularization of technologies the maker movement is spreading worldwide in various ways for education, entrepreneurship, and solving social problems. This paper introduces a case of establishing and operating a maker space in Tanzania, East Africa, one of the developing countries. iTEC Tech-shop was established in the first half of 2018 at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Arusha, Tanzania by Innovative Technology and Energy Center (iTEC), and has been operating for nearly two years. With the allocation of empty warehouse space from NM-AIST, physical facilities were established through the purchase and installation of equipment and hand tools. Based on the advice from Idea Factory of Seoul National University and Fab-Lab Seoul, iTEC Tech-shop operational system were established. Through a total of 7 technical workshops, iTEC Tech-shop provided training courses for about 180 local personnel. In addition, the smart Techshop test-bed project was promoted in order to improve the operation level along with securing sustainability of the Techshop. The case of the iTEC Tech-shop could be a useful case for institutions or organizations promoting the maker movement to developing countries.

An Explorative Study of Big Companies' Expansion Strategies to Digital Businesses (대기업의 디지털 산업 확장 유형의 탐색적 연구)

  • Kim, Iljoo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.6
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    • pp.241-248
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    • 2021
  • Firms have many ways to expand their businesses including M&A. Big companies in online and offline businesses show different ways of expansion with different objectives to expand their digital businesses quickly. Expansions for technical reasons are to acquire technologies they do not have while those for business reasons are M&A for offline companies to have competence in markets by acquiring online companies. Other ways of expansions include spin-off and group participation after investments for startups. Various ways of expansions are chosen because they are optimal choices depending on situations the companies face, and they have different strengths and weaknesses. To analyze the strengths and weaknesses of those options for expansion at this stage would be academically valuable, and also practically meaningful in terms of providing insights for companies' decision making in choosing opitions for expansions. M&A of online companies to make multi-channels by offline companies have risks of failing to internalize online companies and have enough synergy effects. Also, spin-off is a relatively less risky way of expansion while the speed of expansion is slower than establishing external startups with some shares of equity and making them as affiliated companies. External startups are good for speed of expansion while there are risks of legal regulations and negative awareness by the public.

Development of an IoT Smart Sensor for Detecting Gaseous Materials (사물인터넷 기술을 이용한 가스상 물질 측정용 스마트센서 개발과 향후과제)

  • Kim, Wook;Kim, Yongkyo;You, Yunsun;Jung, Kihyo;Choi, Won-Jun;Lee, Wanhyung;Kang, Seong-Kyu;Ham, Seunghon
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.32 no.1
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    • pp.78-88
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    • 2022
  • Objectives: To develop the smart sensor to protect worker's health from chemical exposure by adopting ICT (Information and Communications Technology) technologies. Methods: To develope real-time chemical exposure monitoring system, IoT (Internet of Things) sensor technology and regulations were reviewed. We developed and produced smart sensor. A smart sensor is a system consisting of a sensor unit, a communication unit, and a platform. To verify the performance of smart sensors, each sensor has been certified by the Korea Laboratory Accreditation Scheme (KOLAS). Results: Chemicals (TVOC; Total Volatile Organic Compounds, Cl2: Chlorine, HF: Hydrogen fluoride and HCN: Hydrogen cyanide) were selected according to a priority logic (KOSHA Alert, acute poisoning statistics, literature review). Notifications were set according to OEL (occupational exposure limit). Sensors were selected based on OEL and the capabilities of the sensors. Communication is designed to use LTE (Long Term Evolution) and Wi-Fi at the same time for convenience. Electronic platform were applied to build this monitoring system. Conclusions: Real-time monitoring system for OEL of hazardous chemicals in workplace was developed. Smart sensor can detect chemicals to complement monitoring of traditional workplace environmental monitoring such as short term and peak exposure. Further research is needed to expand the scope of application, improve reliability, and systematically application.

Ultrasound-optical imaging-based multimodal imaging technology for biomedical applications (바이오 응용을 위한 초음파 및 광학 기반 다중 모달 영상 기술)

  • Moon Hwan Lee;HeeYeon Park;Kyungsu Lee;Sewoong Kim;Jihun Kim;Jae Youn Hwang
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.5
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    • pp.429-440
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    • 2023
  • This study explores recent research trends and potential applications of ultrasound optical imaging-based multimodal technology. Ultrasound imaging has been widely utilized in medical diagnostics due to its real-time capability and relative safety. However, the drawback of low resolution in ultrasound imaging has prompted active research on multimodal imaging techniques that combine ultrasound with other imaging modalities to enhance diagnostic accuracy. In particular, ultrasound optical imaging-based multimodal technology enables the utilization of each modality's advantages while compensating for their limitations, offering a means to improve the accuracy of the diagnosis. Various forms of multimodal imaging techniques have been proposed, including the fusion of optical coherence tomography, photoacoustic, fluorescence, fluorescence lifetime, and spectral technology with ultrasound. This study investigates recent research trends in ultrasound optical imaging-based multimodal technology, and its potential applications are demonstrated in the biomedical field. The ultrasound optical imaging-based multimodal technology provides insights into the progress of integrating ultrasound and optical technologies, laying the foundation for novel approaches to enhance diagnostic accuracy in the biomedical domain.

How Does Smart-device Literacy Shape Privacy Concerns: The Moderation of Privacy and the Mediation of Online Social Participation and Information Veracity (스마트기기 활용역량과 프라이버시 우려: 온라인 사회참여 활동과 정보 사실성 판단 능력의 매개효과 및 프라이버시의 조절효과)

  • Hyeon-jeong Kim;Beomsoo Kim
    • Knowledge Management Research
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    • v.24 no.1
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    • pp.51-72
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    • 2023
  • Digital literacy is vital knowledge and ability of an individual in the information society. As the level of digital literacy increases, the interest in privacy protection increases. This change may hinder the use of digital technologies and services. This research examines (1) the mediating effect of online social participation and information veracity on smart device literacy and privacy concerns, and (2) the moderating effect of privacy literacy. Using Korean media panel survey data reported in 2020 and in 2021, this study analyzes the responses of 7,737 people who use smart devices and participate in online activities. SPSS and PROCESS Macro are used to test the research model and hypotheses. In the analysis of 2020 and 2021 survey, this research shows that smart device literacy has major effects on privacy concerns; confirms that the mediating effect of online social participation; moderated meditating effect of privacy literacy. Although information veracity is not significant in 2020, mediating and moderated mediating effects are found in 2021.

Factors Influencing mHealth Use in Older Adults with Diabetes (당뇨병 노인의 mHealth 이용에 영향을 미치는 요인)

  • Minjin Kim;Beomsoo Kim;Sunhee Park
    • Knowledge Management Research
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    • v.23 no.4
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    • pp.113-132
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    • 2022
  • The development of information and communication technologies (ICT) and changes in medical services centering on daily life have ushered in an era of self-management through the smartphone health management app (mHealth). This study identified the factors affecting mHealth use among older adults with diabetes. A structured survey was conducted using online and offline channels for 252 older adults who were over 65 and had diabetes. The collected data were subjected to hierarchical multiple regression analyses, and subjective health status, e-health literacy, and interaction terms of social support were inputted to verify moderating effect. The main results of this study are as follows. First, mHealth use among older adults with diabetes was higher in the male, type 2 diabetes, and younger age groups. Second, the higher was the e-health literacy, the higher was the mHealth use. Third, a negative moderating effect of social support was found in the relationship between subjective health status and mHealth use. We expect this study to provide researchers and managers interested in mHealth and older adults with diabetes, with valuable theoretical and practical implications. Furthermore, this study contributes to improving mHealth use among older adults with diabetes and building a digitally inclusive society.

Development of Greenhouse Environment Monitoring & Control System Based on Web and Smart Phone (웹과 스마트폰 기반의 온실 환경 제어 시스템 개발)

  • Kim, D.E.;Lee, W.Y.;Kang, D.H.;Kang, I.C.;Hong, S.J.;Woo, Y.H.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.18 no.1
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    • pp.101-112
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    • 2016
  • Monitoring and control of the greenhouse environment play a decisive role in greenhouse crop production processes. The network system for greenhouse control was developed by using recent technologies of networking and wireless communications. In this paper, a remote monitoring and control system for greenhouse using a smartphone and a computer with internet has been developed. The system provides real-time remote greenhouse integrated management service which collects greenhouse environment information and controls greenhouse facilities based on sensors and equipments network. Graphical user interface for an integrated management system was designed with bases on the HMI and the experimental results showed that a sensor data and device status were collected by integrated management in real-time. Because the sensor data and device status can be displayed on a web page, transmitted using the server program to remote computer and mobile smartphone at the same time. The monitored-data can be downloaded, analyzed and saved from server program in real-time via mobile phone or internet at a remote place. Performance test results of the greenhouse control system has confirmed that all work successfully in accordance with the operating conditions. And data collections and display conditions, event actions, crops and equipments monitoring showed reliable results.

Unsupervised Learning-Based Threat Detection System Using Radio Frequency Signal Characteristic Data (무선 주파수 신호 특성 데이터를 사용한 비지도 학습 기반의 위협 탐지 시스템)

  • Dae-kyeong Park;Woo-jin Lee;Byeong-jin Kim;Jae-yeon Lee
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.147-155
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    • 2024
  • Currently, the 4th Industrial Revolution, like other revolutions, is bringing great change and new life to humanity, and in particular, the demand for and use of drones, which can be applied by combining various technologies such as big data, artificial intelligence, and information and communications technology, is increasing. Recently, it has been widely used to carry out dangerous military operations and missions, such as the Russia-Ukraine war and North Korea's reconnaissance against South Korea, and as the demand for and use of drones increases, concerns about the safety and security of drones are growing. Currently, a variety of research is being conducted, such as detection of wireless communication abnormalities and sensor data abnormalities related to drones, but research on real-time detection of threats using radio frequency characteristic data is insufficient. Therefore, in this paper, we conduct a study to determine whether the characteristic data is normal or abnormal signal data by collecting radio frequency signal characteristic data generated while the drone communicates with the ground control system while performing a mission in a HITL(Hardware In The Loop) simulation environment similar to the real environment. proceeded. In addition, we propose an unsupervised learning-based threat detection system and optimal threshold that can detect threat signals in real time while a drone is performing a mission.

Successful Technology Investment Strategy in Manufacturing Industry: Fuzzy-set Qualitative Comparative Analysis (fsQCA) Approach (제조업에서의 성공적인 기술투자 전략에 대한 연구: 퍼지셋 질적비교분석)

  • Yunmo Koo;Juyeon Ham;Jae-Nam Lee
    • Information Systems Review
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    • v.19 no.4
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    • pp.1-25
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    • 2017
  • Despite high uncertainty on financial return, firms have continuously increased their investment on technologies because they recognize the potential value of technology investment in terms of enhancing operational efficiency and sustaining competitive advantage. Notably, an individual technology investment pattern or strategy within an industry may ultimately lead to significant differences in business performance. Hence, we first categorized technology investment into traditional research and development investment and information technology investment. Afterward, we examined the effects of each pattern with combination of the two types of technology investment on business performance according to firm size and position in the supply chain through fuzzy-set qualitative comparative analysis. Data collected from 562 manufacturing firms in Korea were used in the analysis. Results showed that large-sized firms were slightly affected with microscopic patterns in their technology investments, whereas small firms were highly affected with their technology investment patterns and their positions in the supply chain. The findings implied that a small enterprise requires an appropriate technology investment strategy to achieve successful business outcomes.

The Effect of the Introduction Characteristics of Cloud Computing Services on the Performance Expectancy of Firms: Setting Up Innovativeness as the Moderator (클라우드 컴퓨팅 서비스의 도입특성이 기업의 인지된 기대성과에 미치는 영향: 기업의 혁신채택성향을 조절변수로)

  • Jae Su Lim;Jay In Oh
    • Information Systems Review
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    • v.19 no.1
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    • pp.75-100
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    • 2017
  • Today, firms are constantly transforming and innovating to survive under the rapidly changing business environment. The introduction of cloud computing services has become popular throughout society as a whole and is expected to result in many changes and developments not only in firms and but also in the public sector subject to innovation. The purpose of this study is to investigate the effect of the characteristics of cloud computing services on the perceived expected performance according to innovativeness based on innovation diffusion theory. The results of the analysis of the data collected from this research are as follows. The convenience and understanding of individuals' work as well as the benefits of cloud computing services to them depend on the innovative trend of cloud computing services. Further, the expectations for personal benefit and those for organizational benefit of cloud computing services are different from each other. Leading firms in the global market have been actively engaged in the utilization of cloud computing services in the public sector as well as in private firms. In consideration of the importance of cloud computing services, using cloud computing services as the target of innovation diffusion research is important. The results of the study are expected to contribute to developing future research models for the diffusion of new technologies, such as big data, digital convergence, and Internet of Things.