M.S Candidate Kihyun Kim (Advisor: Prof. Yong Man Ro) awarded ICCE-Asia 2018, Best Paper award – Silver Prize

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) awarded 2018 ICCE-Asia Best Paper Award Silver Prize

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 WPTC 2018 Best student paper award

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

 

WPTC 2018 Best Student Paper Award 0

Prof. Jin-woo Shin, Prof. Dongsoo Han's group's Deep learning Technology-Industry Collaboration Research

Prof. Jin-woo Shin, Prof. Dongsoo Han’s group’s Quang Nguyen Ngoc, Jee-hoon Tak, Byuck-chan Lee participated in the modeling technology of used cars using deep learning technique developed by KB Capital and reported to domestic media including Money Today.

This system utilizes deep running to derive used car quotes. Using the developed deep-learning model, AI learns about hundreds of thousands of vehicles, and rates an accurate used car in consideration of about 50 factors that influence the price of the vehicle (sales time, mileage, fuel economy, vehicle type, etc.). Accurate quotes are derived through processes that reflect what is often considered a careful consideration in the used car market, such as time of sale, mileage, fuel economy, and type of vehicle. KB Capital will be able to provide the accurate used car quotes to customers through KB Chachacha site in real time by using the developed deep running model on the deep running server using the latest GPU and estimating residual value that reflects the vehicle specific price.

This research is an accomplishment of KB-KAIST financial AI research center (center director: professor Dae-sik Kim) project to upgrade used car market data provided to KB Chachacha used cars site. The used car model based on AI model developed by KAIST will be provided through the KB Chachacha Site.

 

<Link>

 

Min-Ho Seo and Yonghoon Yoon (advisor. Prof. Jun-Bo Yoon) won the award at KMEMS Conference

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

 

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"Defense Modeling and Simulation" Published by Professor Tag-Gon Kim

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.

"Cloud Broker and Cloudlet for Workflow Scheduling" Published by Professor Chan-Hyun Youn

Professor Chan-Hyun Youn of our department has published a book on deep learning titled “Cloud Broker and Cloudlet for Workflow Scheduling”.

It has been published by Springer Publishing Co. with Professor Min Chen of China and Professor Patrizio Dazzi of Italy. More related information about the book is on below.

 

Title: Cloud Broker and Cloudlet for Workflow SchedulingSpringer, Jul., 2017

Authors: Chan-Hyun Youn, Min Chen, Patrizio Dazzi

Linkhttp://www.springer.com/us/book/9789811050701

 

Summary:

 In this book, we provide a comprehensive overview of the background and related technologies, challenges and applications of cloud broker system, which is the middleware between the user and the resource provider by providing resource allocation service for satisfying users’ requirements. . Especially, we present detailed implementation of cloud broker system to address the great challenges for providing an optimal resource reservation capacity control management: 1) different objective of user-centric Service Level Agreement (SLA), 2) complexity of resource allocation for workflow jobs, 3) uncertainty of the resource demands, 4) difficulty on data scheduling in geographically distributed cloud applications, 5) different resource types and the leasing costs, and 6) different payment plans and leasing duration. Specifically, cloud broker system plays a critical role as an intermediate negotiator between the user and the service provider, which orchestrates the application policy on the user’s side and the resource policy on the service provider’s side. The broker functions to bridge the user with the service provider while hiding many workflow mapping details so that the user can utilize the vast resource pool within the internet in a transparent and easy way. Moreover, the broker can offer different service levels in according with different users’ requirements and provide corresponding Quality of Service (QoS) guarantees respectively. The broker has both the functionalities of workflow management and the resource management.

"Deep Neural Networks in a Mathematical Framework" Published by Professor Dong Eui Chang

Professor Dong Eui Chang of our department has published a book on deep learning titled “Deep Neural Networks in a Mathematical Framework” with Anthony L. Caterni of Oxford University. (Springer; 2018) Detailed information about the book is on below. You can download eBooks through the link https://doi.org/10.1007/978-3-319-75304-1, and bound books are available in online/offline bookstores.

Title: Deep Neural Networks in a Mathematical Framework

Authors: Anthony L. Caterini and Dong Eui Chang

Publisher: Springer; 2018

ISBN 978-3-319-75303-4

ISBN 978-3-319-75304-1 (eBook)

https://doi.org/10.1007/978-3-319-75304-1

Book cover and Front Matter: in attachment

 

Summary:

This book describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and describe neural networks, casting previous results in the field in a more natural light. In particular, the authors derive gradient descent algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks, deep autoencoders and recurrent neural networks. Furthermore, the authors developed framework is both more concise and mathematically intuitive than previous representations of neural networks.

This book is one-step towards unlocking the black box of Deep Learning. The authors believe that this framework will help catalyze further discoveries regarding the mathematical properties of neural networks. This book is accessible not only to researchers, professionals and students working and studying in the field of deep learning, but also to those outside of the neutral network community.

Ph.D Candidate Yongmin Jeon developed OLED Wearable Light therapy Patch!

Professor Kyung Cheol Choi and Ph.D candidate Yongmin Jeon have successfully developed OLED Wearable Light therapy Patch with Professor Kyoung-Chan Park and Hye-Ryung Choi from Department of Dermatology, Seoul National University Bundang Hospital (SNUBH).

Phototherapy is a treatment that promotes the biochemical reaction of the human body by irradiating light. It is widely used to heal wounds through LED or laser devices installed in hospitals. However, conventional phototherapy equipments are not flexible, also it is difficult to uniformly irradiate light, and there is a problem that heat is generated. For these reasons, even if patients wanted to increase the effectiveness of the treatment, there was a limit that can not be attached to the human body.

The phototherapy patch developed by Professor Kyung Cheol Choi’s team is light and flexible, allowing you to maintain high-efficiency treatment while adhering to your skin in daily life. The components OLED, battery, heat sink and patch are designed in the form of thin film, less than 1mm thick and less than 1g in weight. It also operates for a long period of more than 300 hours and can be driven in a bend radius of 20 mm, so it can be attached to various body parts. It operates at less than 42°C, eliminates the risk of low-temperature burns, and it has been verified to be safe by the International Organization for Standardization (ISO) standards, and has an excellent healing effect that improves cell proliferation by 58% and cell migration by 46%.

This research was supported by the Ministry of Science and Technology, Ministry of Information and Communication / Korea Research Foundation Basic Research Project (ERC : Attachable Photo Therapeutics Center for e-Healthcare)

Published in the International Journal of Advanced Materials Technologies (March 8). More information can be found in the following papers and press releases.

<Papers>

Title: A Wearable Photobiomodulation Patch Using a Flexible Red-Wavelength OLED and Its in Vitro Differential Cell Proliferation Effects

Link: http://onlinelibrary.wiley.com/doi/10.1002/admt.201700391/full

<Press releases video link>

[MBC] ▶ OLED adhesive plaster 

https://www.youtube.com/watch?v=ePbSyaJhcMc 

 [Channel A] ▶ ‘Laser treatment’ as a bandage … Heal the wound with light

https://www.youtube.com/watch?v=1yXweMt3uX4

[Yonhapnews TV] ▶ [HOT NEWS] OLED bandages. Light treatment quickly heals hurt 

https://www.youtube.com/watch?v=Z7kR3_Hvdlo

 

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Figure 1. Driving picture of wearable OLED patch attached to skin

 

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Figure 2. Wound healing effect of wearable OLED patch attached to skin

Professor Kim JongHwan's Lab graduate, Lee Won Hyung awarded HRI 2018 Best Video Award

Professor Kim, Jong-Hwan’s lab graduate Lee Won Hyung awarded the Best Video Award at HRI 2018 Society hosted by ACM / IEEE in Chicago, USA. (3/5 ~ 3/8)

The paper is the result of the research that was made during his undergraduate course. The related video link is in the below.

<Video Link>

Free Talking: https://youtu.be/OltXzOc-zAw

Photo Shooting Scenario: https://youtu.be/BXpeLyxHst0

User Face Identification and Differentiated Reactions: https://youtu.be/LIe1yN_DjDk

 

<Social Relationship Development Between Human and Robot Through Real-Time Face Identification and Emotional Interaction>