IEEE/IEIE ICCE-Asia 2018

June 24th(Sun) - June 26th(Tue), 2018/ Ramada Plaza Hotel, Jeju, Korea

Program

Important Dates
  • Submission due
    April 20 April 27, 2018
  • Accepted papers and special sessions notification
    April 6 May 4, 2018
  • Final submission due
    May 4 May 18, 2018
  • Registration Due
    May 31 June 4, 2018

TODAY 2019. 07. 23

ICCE-Asia 2018

D-0

Special Sessions

ICCE-Asia special sessions

Women in the Electronics Industry

Provides the opportunity to network and share the experience for women engineers and researchers, and mentors female participants.

Advanced image processing and understanding

understands recent trend in image processing and understanding

Control and Its Applications

covers various emerging topics on control and optimization with applications of unmanned aerial vehicles and autonomous driving systems.

Intelligent Cyber-Physical System (iCPS)

introduces cutting-edge technologies on software platform and software engineering for intelligent Cyber-Physical Systems (CPS). (CPS: physical and engineered systems whose operations are monitored, coordinated, controlled, and integrated in a timely manner by a computing and communication core such as a cloud system.)

Digital Acquisition and Reconstruction

discusses high-quality digital acquisition and reconstruction of real objects (multimedia data).

Emotion recognition for social robots

discusses recent progress in emotion recognition technology for human-like social robots.

Journal Paper Presentation Session

offers authors a chance to present their works published in JSTS and SPC

AI young investigator session

introduces young investigators’ researches.

AI World Cup session

presents works of the AI world cup finalists.

AI with brain and communication

discusses research topics in AI with brain and communications; topics include BMI, signal processing, micro wave and mobile system, machine learning and deep learning, service computing, etc.

Quantum AI

presents recent advances in quantum computing technologies and discusses possibilities to build AI with increased computation capacity, speed, while reducing power consumption


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