http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
민대홍,안지영,Min, D.H.,Ahn, J.Y. 한국전자통신연구원 2018 전자통신동향분석 Vol.33 No.2
Software defined technology (SDx), which defines the IT infrastructure based on software and controls that are not dependent on a specific hardware, and provides a rapid and flexible IT infrastructure, is increasing. SDx features centralized control, a common commercial product infrastructure, hardware-software dualization, and programmability. With the advent of the fourth industrial revolution, in which various application services are emerging based on IT infrastructure, interest in SDx is gradually increasing as the need for infrastructure flexibility and an agile business environment is increasing. This paper reviews the market trends of software defined anything using SDx and the trends of major vendors.
민대홍,신용희,안지영,Min, Dae Hong,Shin, Yong Hee,Ahn, Jee Young 한국전자통신연구원 2020 전자통신동향분석 Vol.35 No.5
Fifth-generation (5G) wireless communication supports low latency of up to 1 ms or less, 20 Gbps of data rate, and more than 1 million connections. With these technical advantages, machines and equipment can be precisely adjusted, allowing 5G to be applied to industrial applications. To expand the industrial application of 5G wireless communications, major countries have introduced dedicated 5G, allowing specific companies to build and use 5G directly. Germany, UK, and Japan allocate 100 MHz, 416 MHz, and 1,200 MHz, respectively, of bandwidth dedicated to 5G. Companies with local licenses from the government are expected to accelerate the application of 5G at a low cost and low-frequency range. Therefore, Korea should introduce private 5G to foster 5G-related industrial ecosystems and successfully implement the fourth industrial revolution.
민대홍,Min, D.H. 한국전자통신연구원 2001 전자통신동향분석 Vol.16 No.5
초고속 인터넷가입자의 급증에 따라 이들을 수용하기 위해 ISP들은 자체망 구축에 심여를 기울이고 있지만 중복.과잉투자라는 문제점이 제기됨에 따라 기존에 구축된 유선망을 효율적으로 사용할 수 있는 필요성이 제기되었다. 이를 위해 가입자선로 세분화(Local Loop Unbundling: LLU)하여 공동활용 할 수 있도록 하는 방안이 추진중이다. 이에 본 고는 LLU의 원가산정방법인 Bottom up 형태의 LRIC 모형을 산정하기 위한 가입자망 재설계 방법을 살펴보았다.
딥 러닝 기반 Mono vision을 이용한 주행 환경 인지 및 격자 지도 생성 시스템
조은기(Eungi Cho),김현석(Hyeonseok Kim),박성근(Seongkeun Park) 대한전기학회 2020 전기학회논문지 Vol.69 No.2
In this paper, we propose a driving environment recognition and grid map generation system based on deep learning network using only data acquired with Mono vision. YOLO(You Only Look Once)v3 and FCN are used to recognize the driving environment, and object detection and driving area detection are performed respectively. In addition, the occupancy grid map is generated using the respective network results and vehicle movement information. The data used in this study is based on the KITTI dataset. According to the results, the proposed method uses mono vision, but can obtain distance information and has higher performance than the result of generating a grid map using a single sensor.