• Electronics and Telecommunications Trends
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• v.35 no.1
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• pp.12-24
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• 2020

To keep pace with other powerful nations in this era of the era of digitalization and to emerge stronger in the world, the defense forces of South Korea aim to innovate and prepare themselves for digital battlefields of possible wars in the future. The resources in the defense sector, which is the core of defense intelligence, is based on an intelligent mission collaboration tactical network system via cyber, command, control, communication, and computer (C4), and military and non-human weapons. Defense intelligence depends on the degree of the convergence of advanced Information and communication technologies (ICTs). Considering this aspect of defense intelligence, We plan to determine the application status of defense blockchain technology and examine the feasibility of applying blockchain technology and the core of applied technology. Generally, a key feature of blockchain technology is its data integrity in untrusted environments. There are various types of core technologies for the blockchain depending on the target areas of application in the defense sector, and it is also essential to derive new application strategies for core technologies that are applied in combination with other ICT technologies. We plan to demonstrate new defense ICT converged technologies (DNAB2: Data, Network, AI, BigData, Blockchain) and DNAB2-As-Services in the defense strategy.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.218-226
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• 2019

The use of Information and Communication Technologies (ICT) is the key to operate a change from the traditional manual reading of water meters and sensors to an automated system where high frequency data is remotely collected and analyzed in real time, one of the main components of a Smart Water Grid. The recent boom of ICT offers a wide range of both wired and wireless technologies to achieve this objective. We review and present in this article the most widely recognized technologies and protocols along with their respective advantages, drawbacks and applicability range which can be Home Area Network (HAN), Building Area Network (BAN) or Local/Neighborhood Area Network (LAN/NAN). We also present our findings and we give recommendations on the application of ICT in Smart Water Grids and future work needed.

• Journal of Korea Technology Innovation Society
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• v.8 no.spc1
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• pp.433-450
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• 2005

This paper empirically traces out the determinants of Information and Communication Technologies (ICT) progress. Using cross-national evidence, it is found that a country's income level and its distribution affect the ICT progress, through their influences on home market demand pattern. This result holds even when controlling for other variables that affects ICT progress and a sub-sample of less developed countries. Based on the findings, it is possible to conjecture that ICT progress can be a plausible reason for the income polarization in the world. In addition, a country with higher levels of human capital accumulation and financial development is positively associated with the ICT progress, although the effects depend on the sample and model specifications. However, these results are based on crude theoretical backgrounds and estimations, which require for further studies in the future.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.2
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• pp.201-208
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• 2019

Since the introduction of the open innovation at the beginning of the 2000s, various studies have been carried out on the convergence of technologies, such as the development of new technologies and the development of the business domain. while exploring the technologies necessary for the convergence of appropriate technologies in this research, we propose a discovery process of challengeable research areas by means of the integration of heterogeneous fields which are based on the strategic formulation of ICT and chemical safety industry. In this paper, we consequently propose the 103 detailed convergent technologies based on ICT, especially including artificial intelligent technology and smart big-data platform architecture, were derived from the research areas of the chemical safety field, We expect that research related to the safety field will be frustrated in the future.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.236-264
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• 2018

This study investigates the trend of the patent applications and the future direction of ICT in Gyeongbuk Province by employing patent portfolio analysis, one of the methodology of map analyses for industry-related ICT issues. Thus, this study aims to investigate the ICT development trend based on ICT patent information in Gyeongbuk Province. The promising technologies in ICT industry are extracted by applying patent portfolio analysis, one of the patent map analyses. The analysis results can be applied to the establishment of research and development strategies. This study extracts ICT trend by applying International Patent Classification to the patents registered in Gyeongbuk. For promising technologies, this study analyzed the patents based on the ICT Classification Code. Based on the analysis results, this study presents the trend of patent application, technology share, patent activity status, the trend of patent application by each technology according to ICT classification, the growth stages of ICT market, registration parties for patents, joint researches of research parties, and primary parties of patent applications. After drawing promising technologies, this study provides the future progress direction of ICT industry in Gyeongbuk Province. The research results also can be applied to securing technology competence and developing strategy of technology policy.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.159-165
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• 2019

'4th Industrial Revolution' is accelerating as a core part of creating new growth engines and enhancing competitiveness of businesses. The fourth industrial revolution means the transformation of society and industries that are brought by IoT (Internet of Things), big data analysis, AI (Artificial Intelligence), and robot technology. Information and Communication Technology (ICT), which is a major factor, is affecting production and manufacturing systems and as ICT technologies become more advanced, intelligent information technology is generally utilized in all areas of society, leading to hyper-connected society where new values are created and developed. ICT technology is not just about connecting devices and systems and making smart, it is about constantly converging and harmonizing new technologies in a number of fields and driving innovation and change. It is no exception to the agro-fisheries trade. In particular, ICT technology is applied to the agricultural sector, reducing labor, providing optimal environment for crops, and increasing productivity. Due to the nature of agriculture, which is a labor-intensive industry, it is predicted that the ripple effects of ICT technologies will become bigger. We are expected to use the Smart Concentration using ICT convergence technology as a useful resource for changing smart farms, and to help develop new service markets.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.05a
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• pp.205-242
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• 2001

This paper aims to provide a better understanding about how Information and Communication technology (ICT) has diffused. The investigation is conducted with the consideration of ICT evolution in terms of technological change and usage pattern. The definition used is presented as 'the ICT is a process of convergence of technologies between information-processing and information-transforming technologies, mainly due to the advent of microelectronlcs'. After examining technological changes of ICT, the diffusion path of ICT is traced through the usage ratio in total input and/or investment based on Input-Output tables (I-O). It shows that the evolution of ICT from the change of usage pattern is an up-and-down usage pattern rather than a uni-modal usage time path. With this recognition, the diffusion index is prepared. JEL classification : C43, L63, O33.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.177-182
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• 2021

The fourth industrial revolution based on information and communication technology (ICT) becomes the center of society, and the overall industrial structure is also changing significantly. ICT refers to the hardware of information devices and the software technologies required for the operation and information management of these devices, and any means of collecting, producing, processing, preserving, communicating and utilizing them. ICT is integrated into industries and services or combined with new technologies in various fields such as robotics and nanotechnology to connect all products and services to the network. The development of ICT, which continuously creates new products and services, has spread to all sectors of the industry, affecting not only daily life but also the livestock sector recently. In agriculture, ICT technology can reduce production costs by efficiently managing labor and energy because it can improve quality and yield based on data on environmental and growth information such as temperature, humidity, light and soil. In particular, smart livestock is considered suitable for achieving livestock management goals because it can reduce labor force and improve productivity by remotely and automatically managing accurate information necessary for raising and breeding livestock with ICT devices. The purpose of this study is to propose the need for ICT technology by comparing farm productivity before and after ICT is introduced. The method of the study is to compare the productivity before and after the introduction of ICT in Korean beef farms, pig farms, and poultry farms. The effectiveness of the study proved the excellence of ICT technology through the production results before ICT introduction and the productivity improvement case of livestock farms that efficiently operated manpower management and reduced labor force after ICT introduction. The conclusion of this paper is to present the need for smart livestock through ICT adoption through case study results.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.46 no.5
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• pp.513-519
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• 2013

The fishing industry in Europe has faced environmental, economic, and social challenges. Since the early 2000s, a key tool in addressing these challenges has been information and communication technology (ICT), which has helped to modernize fishery systems in European Union (EU) countries. The ICT used in EU fisheries can be categorized broadly as 1) macro-technologies such as satellite and other remote sensing technologies in combination with geographical information systems, 2) micro-technologies adapted for fishing vessels such as echo sounders, ship navigation devices, and mobile communication devices to connect fishermen and consumers, and 3) onshore micro-technologies related to internet technology and mobile devices. The European Monitoring Center on Change has used ICT to effectively manage fisheries bio-resources. This use of ICT has contributed to the development of sustainable and competent fisheries in the 2000s, even though the knowledge-sharing practices involved are contrary to the long tradition of autonomy within the fishery industry.

• International Journal of Contents
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• v.13 no.4
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• pp.47-62
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• 2017

This paper analyzes how much the gap existed between the public group and expert group using future issues and future core technologies that are announced in government institutions based on ontology. We calculated gap with two groups' point of view, one is expert groups' ideas that are based on future hopeful technologies documents, and another is public people ideas that are based on documents of contest that is hosted by 'Ministry of Science, ICT and Future Planning (MSIP)', and 'Institute for Information & communications Technology Promotion (IITP)'. For calculating these, we suggested SDGM model. In the case of ETRI Meta-trend ICT Field, there is a little gap between expert group and public group, and another case that is XT (ETRI determined future technologies excluding ICT field) Field, the gap is increasing annually. Moreover, in the case of all ETRI Meta trend, the gap is bigger than ICT and XT field. We analyzed, also, KEIT's future issues for generalizing this model. The gap existed between two groups. Utilizing SDGM model of this paper, people can interpret easily how much the gap exists between future technologies and issues that are announced in institutions.