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M.S Candidate Kim Seongyeon (Advisor: Lee Hyunjoo) was selected as a Geographic Finalist by the IEEE EMBS Society.
He won the third place in the SPC(Student Paper Competition) which Geographic Finalists and Open Finalists are in competition.

The IEEE EMBS (Society of Engineering in Medicine and Biology Society) is the world’s largest society in the field of biomedical engineering. They select 5 geographic finalists and 10 open finalists, among which he was selected as geographic Finalists (Asia-Pacific).

Conference: 40th International Conference of the IEEE Engineering in Medicine and Biology Society

Date: 2018.07.17-2018.07.21

Venue: Hawaii Convention Center

Title: Improved Target Specificity of Transcranial Focused Ultrasound Stimulation (TFUS) using Double-Crossed Ultrasound Transducers

Author: Seongyeon Kim, Hyunggug Kim, Chaeyun Shim, and Hyunjoo J. Lee*

The paper of Ph.D. Student Hyunho Yeo (Advisor: Dongsu Han), which will be presented in October, will be adopted at USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2018. It is a KAIST thesis in which a professor Dongsu Han and Jin-woo Shin cooperate with the title of “Neural Adaptive Content-aware Internet Video Delivery” (Author Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jin Woo Shin and Dongsu Han).

USENIX OSDI is a flagship conference in the field of Operating Systems, held every two years, with about 30-40 papers published each time. It is famous for presenting research and innovative technologies such as Google’s flagship system MapReduce (2004, citation = 25,000), BigTable (2006, citation = 5,800), TensorFlow (2016, citation = 5,300), and others. Especially, this issue is meaningful in the fact that it was the first paper of KAIST in the history of 26 years of OSDI society and adopted in Korean institution in 10 years.

This study is based on the position paper “How will Deep Learning Change Internet Video Delivery? (ACM HotNets 2017, First author Hyunho Yeo) collaborated with Deep Learning Expert Jin-woo Shin to present a new design that combines adaptive streaming and deep learning technology, the core technologies of Internet video transmission.

In this paper, we propose an HTTP adaptive streaming system based on super-resolution DNN (Deep Neural Network) and re-implementation DNN player, dramatically improving the quality of User Experience (more than 50%) compared to the existing one. For this, the client is designed to enable real-time inference, and the design that transmits the DNN model for each individual video is operated in conjunction with the existing MPEG DASH.

In this study, we applied the DNN to the video content itself for the first time to prepare for the research on the video transmission and the network of the distribution network (Content Distribution Network). We propose content-awareness of DNNs, implement the system practically, and acknowledge innovation that demonstrates its advantages in a real environment.

M.S Candidate Kihyum Kim (Advisor: Prof. Yong Man Ro)’s paper was awarded the Best Paper Award – Silver Prize at ICCE-Asia 2018 in Jeju Island.  ICCE-Asia is an international conference related to consumer electronics. This paper was selected as Best Paper Award – Silver Prize. The title of the paper is “FSF-C Net: Face Spatial Frequency-Critical Network for Face Super Resolution”.

Congratulations to Kihyun Kim and Yong Man Ro.

Conference: ICCE-Asia 2018

Date: 2018.06.24 – 2018.06.26

Award: ICCE-Asia 2018, Best Paper Award – Silver Prize

Venue: Ramada Plaza Hotel, Jeju, Korea

Paper: FSF-C Net: Face Spatial Frequency-Critic Network for Face Super Resolution

Author: Kihyun Kim, Hak Gu Kim, and Yong Man Ro

Ph.D. Candidate Jin-taek Lim (Advisor: Prof. Youngnam Han) received the best paper award Silver prize at ICCE-Asia in 2018.

The topic of this paper is ‘A Normalized Proportional Fair Scheduler for QoS Provision in Hybrid Full Duplex System’.

Congratulations to Jin-taek Lim & Professor Youngnam Han.

Conference: IEEE the 3rd International Conference on Consumer Electronics (ICCE-Asia 2018)

Date: 2018.06. 24 ~ 2018.06.26

Venue: Jeju Island

Award: Best paper award, silver prize

Paper: A Normalized Proportional Fair Scheduler for QoS Provision in Hybrid Full Duplex System

Author: Jin-taek Lim and Youngnam Han

Ph.D. student Seongsoo Lee (Advisor: Prof. Joungho Kim) won Best student paper award at 2018 WPTC.

The title of the paper awarded is ‘Design and Analysis of EMI Shielding Method using Intermediate Coil for Train WPT System’.

Conference: IEEE MTT-S Wireless Power Transfer Conference (WPTC 2018) 

Date: 2018.06.03 – 2018.06.07 

Venue: Montreal, Quebec, Canada 

Award: Best Student Paper Award 

Title: Design and Analysis of EMI Shielding Method using Intermediate Coil for Train WPT System

Author: Seongsoo Lee, Seungtaek Jeong, Seokwoo Hong, Boogyo Sim, and Joungho Kim

Dr. Min-Ho Seo (Awarded KAIST degree in February this year) and Dr. Yonghoon Yoon (Awarded KAIST degree in February this year) awarded the Oral Best Paper Award and the Poster Best Paper Award at the “20th KMEMS Conference in 2018”, which is held annually once a year as an academic event in the field of Nano-/Micro-electromechanical systems(NEMS, MEMS).

Conference: 20th KMEMS Conference in 2018

Period: 2018.04.05(Thur.) – 2018.04.06(Sat.)

Place: KAL Hotel, Jejudo

Title: A Novel Nanowire Transfer Using Dry Removable Sacrificial Layer Based Mechanical Interlocking Structure

Award: Oral Best Paper Award (Selected 6 out of 256)

Authors: Min-Ho Seo, Sang Hyun Park, Jae-Young Yoo, Sung Kyu Lim and Jun-Bo Yoon

Conference: 20th KMEMS Conference in 2018

Period: 2018.04.05(Thur.) – 2018.04.06(Sat.)

Place: KAL Hotel, Jejudo

Title: The plastic deformation method to reduce air-gap after fabrication process for a low pull-in voltage MEMS switch

Award: Paper Best Paper Award (Selected 8 out of 256)

Authors: Yoonghoon Yoon, Soobon Kim, Kun-wook Yoon, Jun-Bo Yoon

Professor Tag-Gon Kim of our department has published a book titled “Defense Modeling and Simulation” in March of this year.

Information related to the book is on below.

Title: Defense Modeling and Simulation

Publisher: Hanti Media

Publish Date: 03.02.2018

Introduction:

Defense Modeling and Simulation (M&S) technology is a convergence technology that encompasses M&S theory, defense domain knowledge, and ICT technology, and is used for defense system/war game analysis, military training/exercises and weapons system development. This book deals with the entire life cycle of defense M&S based on the M&S theory that the author has been studying for over 30 years and the practical experience gained from the past 20 years of defense M&S research and development tasks.

The features of this book are slides and explanations of concepts related to defense M&S technology. The slides are a selection of 120 technical seminars held over the last 20 years in the military, academia, and academy, as well as those developed in KAIST industry-academy cooperative open lectures over the last 8 years (Lecture: Defense M&Tech I, II, III). All the case studies presented in this book were developed using Defense Model (DEVSimHLA) developed by our laboratory (System Modeling Simulation Laboratory: SMS Lab) which were deployed to the Navy/Air Force/Marine Corps, and the simulation results of these models.

The contents of the book deal with the method of modeling the defense system divided into the weapon system(engineering class), the tactical method/doctrine of the weapon system(engagement class), and the military mission according to the level of abstraction, and how to simulate them together. We also introduced a method to utilize Big Data/AI, which is a recent issue, for defense system modeling.