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Professor Munchurl Kim of our department developed a technology that can convert full HD video into super-high definition 4K UHD video using deep learning technology.

This technology has been implemented in hardware by Deep Convolution Neural Network (DNCC), which is a key techonology in artificial intelligence. It is expected to contribute premium UHD TV, 360 VR, and 4K IPTV in the future by developing algorithms and hardware that can create ultra high resolution 4K UHD screen in 60 frames per second in real time.

This study was lead by Yongwoo Kim and Jae-Seok Choi Ph.D. candidates and they are preparing for patent application.

In recent years, efforts have been made to apply Deep Convolutional Neural Network (DNCC) on image quality improvement research. However, Deep Convolutional Neural Network (DNCC) technology has a high computational complexity, and there is a limit to real-time conversion to ultrahigh-resolution images through small hardware because it needs large memory.

In the conventional frame-by-frame image processing method, it is necessary to use external memory such as DRAM, which causes memory bottleneck and power comsumption due to excessive external memory access when processing image data.

Professor Kim’s team developed an efficient Deep Convolution Neural Network structure that can process data in units of lines instead of frames to implement 4K UHD super resolution at 60 frames per second on small hardware without using external memory.

His team maintained a similar picture quality with only 65% of the filter parameters compared to the fast algorithm based on deep convolution neural networks and software.

This is the first example to implement 60 frames per second 4K UHD super resolution by using hardware.

Professor Kim said, “This research is a very important example of the Deep Convolutional Neural Network that is practically applicable to ultra-high-quality image processing in small hardware. Currently, it can be applied to premium UHD TV and UHD broadcast contents, 360 VR contents, 4K IPTV services.”  

This research was carrier out with the support from the Institute for Information & communications Technology Promotion

A study on the physical unclonable function device based on nano-electro mechanical switch, developed by Hwang Gyu-man (Master’s course) from Prof. Choi Yang-kyu’s lab, was published in ACS Nano and at the same has been introduced in Science Daily, phys.org, EurekAlert.

PUF (Physical Unclonable Function), a hardware (HW) -based security technology that solves the structural problems of software-based security solutions and is easily applicable to IoT devices, is attracting attention. However, the existing PUF has a disadvantage that its performance deteriorates due to its surrounding environment. To improve this, PUF which can operate in extreme environment while guaranteeing basic operation characteristics (randomness, uniqueness and repeatability) by using nano-electro mechanical switch was developed. It is expected to be used as a security module for the military or space industry, which is subject to extreme environmental conditions.

Journal : ACS Nano

Paper : Nano-electromechanical Switch Based on a Physical Unclonable Function for Highly Robust and Stable Performance in Harsh Environments

Author : Hwang Gyu-man (Master’s course) (Prof. Choi Yang-kyu’s lab)

Link : http://pubs.acs.org/doi/abs/10.1021/acsnano.7b06658

Prof. Shin, Seung-Won and Prof. Kim, Yong-Dae’s joint research team won the Grand Prize at the 2017 Cyber Security Paper Contest.

The title of the paper is “Demystifying the Dark Web: Understanding the Underground Online Society”. 

In 2017 Cyber Security Paper Contest, a total of 117 papers were submitted from Seoul National University, POSTECH, and Korea University, etc.

In this competition, joint research team of Prof. Shin Seung-won(KAIST EE), Prof. Kim Yong Dae(KAIST EE) and Prof. Son Soo-el(KAIST CS) won the Grand Prize(3,000,000 prize) with the paper “Demystifying the Dark Web: Understanding the Underground Online Society”.  (1st author : Yoon Chang-hoon, Advisor : Professor Shin Seung-Won)

 This paper analyzes the ecosystem and internal operating system of Dark Web Market for the first time, collecting and analyzing large amount of data (about 27 million pages) on the dark web which is a social problem in recent years.

Currently, the research team is collecting large amounts of data related to Dark Web, and is continuing to conduct research based on it. They are also developing a system to automatically detect and track contents related to crime and cyber security in the Dark Web.

– Event: Cyber ​​Security Paper Contest

– Place: The K Hotel, Yangjae-dong

– Date and time: November 21, 2017

– Title: “Demystifying the Dark Web: Understanding the Underground Online Society”

– Author: Yoon Chang-hoon, Kim Kwan-woo, Lee Chan-hee, Son Soo-el, Kim Yong-dae, Shin Seung-won

A joint research conducted by Professor Choi Sung-Yool of our department, and Professor Im Sung-Gap of Dept. of Chemical and Biomolecular Engineering was published as a Front cover paper on Nov. 17 in Advanced Functional Materials.

The title of this paper is ‘Low-Power Nonvolatile Charge Storage Memory Based on MoS₂ and an Ultrathin Polymer Tunneling Dielectric’, and the author is M.S graduate Woo Myung Hoon (1st co-author, now Samsung Electronics), Ph.D candidate Jang Byoung Chul (1st co-author), Ph.D candidate Choi Joon-hwan, Professor Im Sung-Gap (co-author), and Professor Choi Sung-Yool (correspondent author).

Jorunal : Advanced Functional Materials

Title : Low-Power Nonvolatile Charge Storage Memory based on MoS₂ and an Ultrathin Polymer Tunneling Dielectric

Author : M.S graudate Woo Myung Hoon (1st co-author), Ph.D candidate Jang Byoung Chul (1st co-author), Professor Choi Sung-Yool (correspondent author)

Link : http://onlinelibrary.wiley.com/doi/10.1002/adfm.201703545/full

Yongchang Choi from Prof. Hyung-Joun Yoo’s lab, received a Best Paper Award from ISSCC 2017.

The award paper is A Fully-Digital Phase Modulator with Phase Calibration Loop for High Data-Rate Systems.

Congratulations to Yongchang Choi.

Conference: 2017 International SoC Design Conference (ISOCC)

Date: 2017.11.05 ~ 2017.11.08

Place: Grand Hilton Seoul, Seoul, Korea

Prize Winner: Ph.D Student Yongchang Choi (Advisor: Prof. Hyung-Joun Yoo)

Paper: A Fully-Digital Phase Modulator with Phase Calibration Loop for High Data-Rate Systems

Authors: Yongchang Choi, Prof. Hyung-Joun Yoo

Award: 2017 IEIE Best Paper Award

MS candidate Cho Sang Hyun (Advisor: Prof. KingJongHwan), Dr. Lee Won Hyung got Best Student Paper Award from IEE Int’l Conf. on Systems, Man, and Cybernetics (SMC) held on 10/5~10/8 at Banff, Canada.

The awarded paper is “Implementation of Human-Robot VQA Interaction System With Dynamic Memory Networks”

Congratulations!