Korea has pursued economic development based on ICT through R&D policy incorporating CDMA. However, the future society of the Fourth Industrial Revolution is expected to include a new type of industrial development that combines ICT with the non-ICT industry, making it impossible to secure national competitiveness without the source technology of the ICT industry. Therefore, in this thesis, we examine the ICT industry and ICT R&D policy from the point of view of the current ICT as a future source technology source of Korea, and identify strategies to determine ICT as a future technology source through a SWOT analysis.

Since the introduction of CRT(Cathode Ray Tube) in the 1950s, display technologies have been developed continuously. Flat panel displays such as PDP(Plasma Display Panel) and LCD(Liquid Crystal Display) were commercialized in the late 1990s, and OLED(Organic Light Emitting Diodes) and Micro-LED(Micro-Light Emitting Diodes) are now being developed and are becoming widespread. In the future, we expect to develop ultra-realistic, flexible, embedded sensor displays. Ultra-realistic display can be applied to AR/VR(Augmented Reality/Virtual Reality) devices and spatial light modulators for holography. The sensor-embedded display can be applied to robots; electronic skin; and security devices, including iris recognition sensors, fingerprint recognition sensors, and tactile sensors. AR/VR technology must be developed to meet technical requirements such as viewing angle, resolution, and refresh rate. Holography requires optical modulation technology that can significantly improve resolution, viewing angle, and modulation method to enable wide-view and high-quality hologram stereoscopic images. For electronic skin, stable mass production technology, large-area arrays, and system integration technologies should be developed.

In recent years, medical and health care fields have attracted attention for virtual reality (VR) applications. VR technology is emerging as a healthcare specialist and psychotherapy alternative to cope with the increase in the demand for the treatment of conditions such as psychological diseases caused by old age and stress. Using VR, virtual patients or organs can be trained, and the medical staff can plan and pre-test before surgeries. The use of VR technology for psychotherapy and rehabilitation of one-to-one, face-to-face treatment allows a single physician to respond to multiple health care needs.

The interest in facial recognition technology has been growing with the advancement of AI technology. With a confirmed accuracy of over 99%, the areas of application of the technology have expanded, including smartphone unlocking, online payment authorization, building access management, and criminal apprehension. This indicates that the technology has effectively transitioned from laboratory to field applications. This study performs patent analysis to determine recent innovations and diffusion trends in facial recognition technology. Specifically, R&D activities involving facial recognition technology are investigated at both the country level and company level. Significant patents are also considered. This study contributes to R&D management teams by proposing useful plans and strategies.

Considerable accuracy improvements in deep learning have recently been achieved in many applications that require large amounts of computation and expensive memory. However, recent advanced techniques for compacting and accelerating the deep learning model have been developed for deployment in lightweight devices with constrained resources. Lightweight deep learning techniques can be categorized into two schemes: lightweight deep learning algorithms (model simplification and efficient convolutional filters) in nature and transferring models into compact/small ones (model compression and knowledge distillation). In this report, we briefly summarize various lightweight deep learning techniques and possible research directions.

Edge computing, which is computing on the edge of the network, is becoming a market value as a means of overcoming the fear of communication disconnection and delay reduction, which are the technical weaknesses of cloud computing. Edge computing is continuously expanding applications in various applications such as safety industry, smart factories, autonomous vehicles, mobile communications, and AR/VR. Looking at edge computing trends from Microsoft, IBM, HPE, and Dell EMC, current edge computing must be understood as an integral binding technology and not as a simple complement to the cloud. This paper examines market trends in edge computing and analyzes the impact of edge computing on major related industries.

Commercial services providing quantum cryptographic communication are available in China and the United States of America (USA), and a commercial cloud service for quantum computing is available in the USA. This has been possible since the early stage prototypes of quantum technologies have transitioned from theory to practical applications. This has led to the development of a new industrial ecosystem so that governments are announcing plans to support further research and development, new ventures are being launched, and a market is emerging. We will discuss the technological possibilities of future developments from the early-stage achievements.

Airport is shifted airport 1.0 to airport 4.0 called smart airport and services paradigm is changed into direction to point the customer targeted benefits. Smart airports make use of integrated Internet of Things components to provide added-value services. By integrating smart components, airports are being exposed to a larger attack surface and new attack vectors. Self-services such as web or mobile check-in, self check-in/tagging/back drop/boarding, etc. should be strengthened to make airport processes smarter, and technologies such as automatic immigration, smart security search, and automatic AI-based baggage search should be applied. In this paper, we describe the necessity and importance of smart airports and next generation security screening technology. Further, we describe a walk through-type smart security screening system.

In this article, we introduce examples and technologies relating to particulate matter (PM) reduction technology, for the purpose of reducing PM that harms health and affects the entire industry such as dust-sensitive semiconductor industry. First, the definition of PM and how it is generated is explained, including its effects on the human body. In addition, various methods for measuring PM are described, including examples of the restrictions on the operation of polluting vehicles and emission reduction devices. Finally, we describe techniques relating to the reduction and forecasting of PM.

Vast amounts of different service-specific requirements and vertical network slicing in a 5G network increase the complexity, cost of the network management and resource operations for carriers. To solve this problem, 3GPP is working on the standardization of NWDAF to support the automation of the 5G network by utilizing artificial intelligence technologies based on Big Data to improve the efficiency of network management and resource operation. In addition, the ETSI ZSM Industry Specification Group is developing technical standards for the automation of end-to-end network management and service delivery. This document provides an overall survey of the latest standardization issues of the NWDAF in 3GPP and ETSI ZSM for 5G network automation and intelligence.

Electrical energy storage (EES) systems store generated electricity in energy storage devices such as batteries and discharge the stored energy when necessary. Individual subsystems of the EES system are being standardized independently; however, a holistic understanding of the whole system is necessary because the EES system is large and complex. IEC TC 120 has developed international standards of EES systems. In this paper, EES systems standards in IEC TC 120, including the planning and installation of EES systems, are presented. Further, ongoing standardization for the application of EES systems to backup power and emergency support is described.

Blockchain enables encrypted, definitive, and immutable records of transactions to be shared and maintained across distributed nodes in peerto-peer networks. Since the establishment of the ISO/TC 307 (Blockchain and distributed ledger technologies (DLT)), Blockchain and DLT have been actively standardized. In this paper, we introduce the international standardization activities and deliverables carried out by ISO, ITU-T, and W3C.