• Electronics and Telecommunications Trends
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• v.36 no.4
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• pp.110-117
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• 2021

The development of core technologies in the 4th Industrial Revolution, such as artificial intelligence, big data, and the intelligent Internet of Things, promote digital transformation and intelligence of the manufacturing industry. To realize them, there is an increasing demand for materials, components, and equipment needed for final goods. In particular, the expansion of global value chain instability due to changes in the external environment, such as the U.S.-China trade dispute, Japan's export regulations, and Covid-19 pandemic, increases the importance of strengthening the materials, components, and equipment industry in the global market. Thus, this study presents a strategic direction for securing global industrial competitiveness of materials, components, and equipment using Michael Porter's diamond model approach.

• Electronics and Telecommunications Trends
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• v.38 no.4
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• pp.36-46
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• 2023

This paper presents concepts, policies, industry trends, and related issues in urban air mobility (UAM). UAM will contribute to transportation by mitigating traffic congestion and environmental problems in the future. Accordingly, governments of major countries are promoting UAM policies and demonstration projects as well as preparing laws and certification standards. In UAM, overseas startups lead airframe developments, and major companies from the aircraft, automotive, and information technology industries are also participating. In addition, startups and major companies are building the corresponding infrastructure. For the development of UAM, issues related to technology, regulation systems, and infrastructure still need to be resolved.

• Electronics and Telecommunications Trends
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• v.38 no.6
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• pp.75-83
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• 2023

Smart manufacturing in Industry 4.0 is developing toward autonomous manufacturing as a last-mile technology. We investigate development trends in manufacturing innovation technologies, review major industrial intelligence projects currently carried out at ETRI, and infer directions of future technology developments.

• Electronics and Telecommunications Trends
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• v.39 no.2
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• pp.66-76
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• 2024

Artificial-intelligence (AI) semiconductors are crucial for securing national core competitiveness, including dominating the AI and data ecosystem and succeeding in the Digital New Deal. When examining the macroenvironment, the global division of labor in the semiconductor industry has weakened owing to the technological competition between the United States and China. Major countries are aiming to build the entire semiconductor ecosystem around their territories. As a result, these countries are formulating policy goals tailored to their realities and actively pursuing key policies such as research and development, securing manufacturing bases, workforce development, and financial support. These policies also focus on intercountry cooperation and bold government policy support, which is deemed essential. To secure core competitiveness in AI semiconductors, South Korea needs to examine the policy directions of major countries and actively formulate and implement policies for this semiconductor industry.

• Electronics and Telecommunications Trends
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• v.39 no.3
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• pp.69-78
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• 2024

Cloud computing technology based on centralized high-performance computing has brought about major changes across the information technology industry and led to new paradigms. However, with the rapid development of the industry and increasing need for mass generation and real-time processing of data across various fields, centralized cloud computing is lagging behind the demand. This is particularly critical in emerging technologies such as autonomous driving, the metaverse, and augmented/virtual reality that require the provision of services with ultralow latency for real-time performance. To address existing limitations, distributed and edge cloud computing technologies have recently gained attention. These technologies allow for data to be processed and analyzed closer to their point of generation, substantially reducing the response times and optimizing the network bandwidth usage. We describe distributed and edge cloud computing technologies and explore the latest trends in their standardization.

• Electronics and Telecommunications Trends
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• v.37 no.4
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• pp.19-27
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• 2022

The coronavirus disease 2019 (COVID-19) pandemic has significantly changed the Lifeline Program, a telecommunications rate discount program for low-income Americans. As the reliance on online activities such as remote work, distance education, and online shopping grows because of the spread of COVID-19, there is a concern that the digital divide will widen among low-income households that struggle to access internet infrastructure due to the burden of access rates. Accordingly, the US Congress passed a bill to help lower the internet bill for low-income households using the government budget to close the digital divide. The Lifeline Program, which is a part of the universal service obligation, has been in charge of the telecommunications rate discount for low-income households. However, according to the new law, the internet rate discount program based on the government budget was implemented beginning in 2021. As the internet rate discount based on the government budget begins, the US telecommunication rate discount system is transitioning from a system in which telecommunication industry support was borne by operators to one in which public support from the government budget will play a significant role. In this paper, we will look at recent changes in the US telecommunications rate discount program and their implications.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2004.11a
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• pp.245-254
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• 2004

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.115-123
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• 2015

As LTE service and smartphone are emerging as the mainstream of mobile communications market, the value and importance of mobile data service has been further increased. MNO(mobile network operator)s already recognized the data service as essential market needs, and have appealed to consumers based on various satisfaction elements of data service such as faster transmission speed, expended data volume provided as default, and introduction of unlimited plan. So, in the smartphone market where has been mature, investigating what service attributes affect users' selection of data service is very meaningful from the perspectives of both the industry and the academic. Under this background, this study explores determinants influencing consumer's choice for mobile data service and analyzes relative importance of the attributes among different type of users. The findings of this study makes us extend our understanding of consumer characteristics and their service needs in data service centric era, and it provides some implications for establishing telecommunications policies and business strategies.

• Electronics and Telecommunications Trends
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• v.35 no.5
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• pp.92-101
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• 2020

Artificial intelligence (AI) has become the hottest topic in information and communications technology (ICT) in recent years. Along with the advancement of AI technology, technologies such as big data, cloud, and high-speed wired and wireless communication are being applied to existing media areas in earnest, affecting all parts of the media value chain from content production to consumption. AI technology is now spreading across the media industry faster than any other industry. In the future, the gap between those with and without AI technology will widen, further deepening the polarization of the media ecosystem. Media intelligence, which combines media and AI technologies, is now perceived as essential, not optional. In this paper, we examine the current status of technology development and standardization by major domestic and foreign institutions on how AI is being utilized in the media industry. In addition, we discuss what technology should be developed to lead media intelligence.

• IE interfaces
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• v.21 no.3
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• pp.283-293
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• 2008

It is important to choose and develop right business model in the process of implementing the ubiquitous service concept. In particular, it is also required to build a method which can assist in establishing a business model in a competitive perspective to differentiate business strategy. However, we could not find the existing studies which tried to develop business model including methods on how to differentiate business strategy in a competitive environment. In this study, we propose an ontology for repository of ubiquitous business model and address on how to apply the proposed business model repository to real ubiquitous industry. We also built a repository of unlicensed wireless device industry to check the applicability of proposed ubiquitous business model ontology and to show the various examples. We expect that building the business model repository contributes to reduce the redundancy and inefficiency for industry as well as to increase likelihood of business success for an individual company.