• Title/Summary/Keyword: Emerging Trends

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Recent Trends in Receding Horizon Control (이동 구간 제어기의 최근 기술 동향)

  • Kwon, Wook Hyun;Han, Soohee
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.3
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    • pp.235-244
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    • 2014
  • This article introduces recent trends in RHC (Receding Horizon Control), also known as MPC (Model Predictive Control), that has been well recognized in industry and academy as a systematic approach for optimal design and constraint management. Constrained and robust RHCs will be briefly reviewed with milestone results. Among the diverse developments and achievements of RHCs, implementation issues will be focused on, together with the latest applications. In particular, this article introduces results on how to solve a finite horizon open-loop optimal control problem in an efficient way, together with code generation for real-time execution and easy implementation. Instead of traditional applications such as refineries and petrochemical plants, this article highlights some selected emerging applications, such as energy management systems and mechatronics, that have resulted from state-of-the-art high performance computing power and advanced numerical schemes.

A study on the vulnerability and corresponding technique trends of the cloud computing service (클라우드 컴퓨팅 서비스의 취약성과 대응기술 동향에 관한 연구)

  • Jeon, Jeong Hoon
    • Convergence Security Journal
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    • v.13 no.6
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    • pp.17-24
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    • 2013
  • Recently, the cloud computing technology is emerging as an important issue in the world, and In the technology and services has attracted much attention. However, the positive aspects of cloud computing unlike the includes several vulnerabilities. For this reason, the hacking techniques according to the evolution of a variety of attacks and damages is expected. Therefore, this paper will be analyzed through case studies and experiments to the security technology trends of the cloud computing. and In the future, this is expected to be utilized as a basis for the security system design and corresponding technology development.

Trends in Acquisition and Service Technology for VR Media (VR 미디어 획득 기술 및 서비스 동향)

  • Jeong, J.;Park, Y.;Yun, K.;Yun, J.;Cheong, W.;Seo, J.
    • Electronics and Telecommunications Trends
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    • v.33 no.2
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    • pp.48-55
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    • 2018
  • Immersive media, which maximizes the viewer's sense of presence and immersion, has been developed in the form of 3D stereoscopic media and UHD media. Going one step further, VR media, which can provide immersive experiences within an artificially created environment, have recently been considered a type of next-generation media. Within this trend, numerous IT and broadcasting companies around the world are actively investing their time and resources to boost the emerging VR industry. In this paper, we introduce the representative VR media acquisition and broadcasting service technologies that are leading the current VR industry.

Economic Feasibility and Technology Trends for UAV Development (무인항공기 개발의 경제성과 기술 발전 추세)

  • 김성배
    • Journal of the military operations research society of Korea
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    • v.28 no.1
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    • pp.136-149
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    • 2002
  • The UAV(Unmanned Aerial Vehicle) offers numerous benefits to the military. The benefits it can provide are to perform an operation without loss of life and economic life cycle cost. This clearly showed us the benefits of using UAVs in the operation, especially in politically hostile and sensitive areas. While the American military first used UAVs, it is Israel that has used them best in real situations. In this paper, it is summarized the types and the OPCONs (Operational Concept) of UAVs and the values. Looking at the technology trends, and it is showed the benefits of UAV in the economic side feasibility, to emphasis on the future values of the UAVs as a newly emerging weapon systems.

Research Trends of Deep Learning-based Mobile Communication Technology (심화 학습 기반 이동통신기술 연구 동향)

  • Kwon, D.S.
    • Electronics and Telecommunications Trends
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    • v.34 no.6
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    • pp.71-86
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    • 2019
  • The unprecedented demands of mobile communication networks by the rapid rising popularity of mobile applications and services require future networks to support the exploding mobile traffic volumes, the real time extraction of fine-rained analytics, and the agile management of network resources, so as to maximize user experience. To fulfill these needs, research on the use of emerging deep learning techniques in future mobile systems has recently emerged; as such, this study deals with deep learning based mobile communication research activities. A thorough survey of the literature, conference, and workshops on deep learning for mobile communication networks is conducted. Finally, concluding remarks describe the major future research directions in this field.

Stretchable Electronic Devices for Wearable Diagnosis and Rehabilitation Applications (웨어러블 진단 및 재활 응용을 위한 신축성 전자소자 기술)

  • Park, C.W.;Koo, J.B.;Lee, J.I.;Park, H.S.
    • Electronics and Telecommunications Trends
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    • v.34 no.5
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    • pp.48-57
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    • 2019
  • As the super-aged society approaches rapidly, the number of people suffering from post-stroke and other neurological disorders is significantly increasing, where prompt and intensive rehabilitation is essential for such people to resume their physical activities in normal daily lives. To overcome the inherent limitations of manual physical therapy, various types of exoskeleton robots are being employed. However, the need of the hour is softer, thinner, lighter, and even stretchable systems for precisely monitoring the motion of each joint without restricting the patients' movements in rehabilitation tasks. In this paper, we discuss the technological trends and current status of emerging stretchable rehabilitation systems, in which sensors, interconnects, and signal-processing circuits are monolithically integrated within a single stretchable substrate attachable to the skin. Such skin-like stretchable rehabilitation devices are expected to provide much more convenient, user-friendly, and motivating rehabilitation to patients with neurological impairments.

eBPF Technology Trends for Networking and Security in Cloud-native (클라우드 네이티브 환경에서 네트워킹 및 보안을 위한 eBPF 기술 동향)

  • Shin, Y.Y.;Shin, J.S.;Park, C.H.;Park, J.G.
    • Electronics and Telecommunications Trends
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    • v.37 no.5
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    • pp.62-69
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    • 2022
  • In a situation where applications determine business competitiveness, they cannot respond to varying customer requirements without the cloud's flexibility and scalability. Companies have begun seeking ways to enjoy the advantages of the cloud fully, and the concept of "Cloud Native" is emerging as a solution to the problem. Cloud Native is now a target of interest in the market. Microservice and serverless functions can play a vital role in cloud-native architecture. Microservice arranges applications into various independent services, each offering certain functionality through mutual networking. eBPF is attracting attention as a cloud-native networking solution that quickly supports microservice features that repeat creation/deletion. This study identifies the characteristics of eBPF-based networking and evaluates cloud-native networking and secure networking using eBPF.

ICT-based Waste Plastic Management Life Cycle Technology (ICT기반 폐플라스틱 관리 전주기 기술 동향)

  • Moon, Y.B.;Jeong, H.;Heo, T.W.
    • Electronics and Telecommunications Trends
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    • v.37 no.4
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    • pp.28-35
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    • 2022
  • To solve the challenge of waste plastics, this study investigated the related technologies and company trends along the plastic life cycle, and primarily describes ICT technologies to improve efficiency in the process of sorting and sorting waste plastics. Waste plastic discharge caused by the explosive increase in parcel traffic because of COVID-19 is also growing exponentially. Hence, waste treatment is emerging as a social challenge. Most of the domestic waste classification depends on the manual process according to the waste pollution level. The plastic material classification approach using the spectroscopy approach reveals a high error in the contaminated waste plastic classification, but if the Artificial Intelligence-based image classification technology is employed together, the classification precision can be enhanced because of the type of waste plastic product and the contaminated part can be differentiated.

Current Status and Future Trends of Cold Atmospheric Plasma as an Oncotherapy

  • Xiaofeng Dai;Jiale Wu;Lianghui Lu;Yuyu Chen
    • Biomolecules & Therapeutics
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    • v.31 no.5
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    • pp.496-514
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    • 2023
  • Cold atmospheric plasma (CAP), a redox modulation tool, is capable of inhibiting a wide spectrum of cancers and has thus been proposed as an emerging onco-therapy. However, with incremental successes consecutively reported on the anticancer efficacy of CAP, no consensus has been made on the types of tumours sensitive to CAP due to the different intrinsic characteristics of the cells and the heterogeneous design of CAP devices and their parameter configurations. These factors have substantially hindered the clinical use of CAP as an oncotherapy. It is thus imperative to clarify the tumour types responsive to CAP, the experimental models available for CAP-associated investigations, CAP administration strategies and the mechanisms by which CAP exerts its anticancer effects with the aim of identifying important yet less studied areas to accelerate the process of translating CAP into clinical use and fostering the field of plasma oncology.

Trends in Technology Roadmap and Exploration of Emerging Technologies for Leading R&D Planning (선도적 R&D 기획을 위한 기술로드맵 및 미래 유망기술 탐색 동향)

  • Y.H. Choi;K.D. Kim;H.S. Chung
    • Electronics and Telecommunications Trends
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    • v.39 no.2
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    • pp.93-102
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    • 2024
  • As the scale of research and development (R&D) increases, countries and companies are consistently establishing R&D directions to meet strategic goals and market demands as well as roadmaps to increase efficiency through concentration and selection. However, establishing an effective roadmap and discovering promising technologies are challenging under the current numerous technological possibilities and uncertainties. The importance of discovering promising technologies to secure future technological competitiveness is recognized worldwide, and Europe, the United States, and Japan are establishing processes to identify promising future technologies and support related R&D. Methods for discovering promising future technologies can be classified into future social needs analysis, forecasting, surveys, use of expert opinions, and data analysis. We describe the types and limitations of technology roadmaps and investigate the status of domestic and foreign organizations using weak signal search through quantitative data analysis.