2018 VII International Conference on Network, Communication and Computing

(ICNCC 2018)

December 14-16, Taipei

Keynote Speakers

Prof. Daping Chu

University of Cambridge, UK

About: Professor Chu’s research activity has been in the areas of both theoretical and experimental condensed matter physics, semiconductor devices and materials, nanostructures and properties, ferroelectrics non-volatile memory devices, organic electronics and inkjet fabrication process. His current research includes space light modulation using holography for true 3D displays, digital illumination and optical communications. Combining 3D image reconstruction with full parallax and occlusion effects and spatial interactions in spectrum and time domains will provide participants the immersive experience which never exists before. This is now being explored through research work to increase both spatial and temporal bandwidths and development of new approaches to best utilise the existing technology. Energy saving, in particular in the built environment, presents a new challenge to electronic/photonic for innovative new technologies. Professor Chu’s research is focusing on the means for both the active modulation of the spatial profile and impact of lighting and the passive control of solar shading and radiation. Various successful approaches, including laminated electro-active foils (LEAFs) for retro-fitting and development at fundamental level of new devices and materials have been demonstrated.

Title: Wavelength Selective Switchesfor Software Defined Networks and Data Centres

Abstract:The high demand on the data traffic in modern optical communication networks pushes the backbone of the network for long distance data communication to all optical with the information kept in the optical domain in a wavelength division multiplexing (WDM)manner throughout the network until it reaches its final destination. It also requires dynamic routing and flexible definition of the network connectivity. This talk will review the advantages of holographic programmable wavelength selective switch (WSS) based on liquid crystal on silicon (LCOS) light engine as a key enabling technologies for software defined reconfigurable all optical networks, followed by the introduction of a new stacked WSS architecture to allow the WSSs to be reconfigured as ultra-high port count switches or non-blocking wavelength cross-connects (WXCs). Finally, it will address how this stacked WSS architecture can be utilized to meet the optical switching demand in large-scale data centres.

Prof. Jiannong Cao | Fellow of IEEE

The Hong Kong Polytechnic University

About: Dr. Cao is currently a Chair Professor of Department of Computing at The Hong Kong Polytechnic University, Hong Kong. He is also the director of the Internet and Mobile Computing Lab in the department and the director of University’s Research Facility in Big Data Analytics. His research interests include parallel and distributed computing, wireless sensing and networks, pervasive and mobile computing, and big data and cloud computing. He has co-authored 5 books, co-edited 9 books, and published over 500 papers in major international journals and conference proceedings. He received Best Paper Awards from conferences including DSAA’2017, IEEE SMARTCOMP 2016, ISPA 2013, IEEE WCNC 2011, etc.

He served the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society 2012-2014, a member of IEEE Fellows Evaluation Committee of the Computer Society and the Reliability Society, a member of IEEE Computer Society Education Awards Selection Committee, a member of IEEE Communications Society Awards Committee, and a member of Steering Committee of IEEE Transactions on Mobile Computing. Dr. Cao has served as chairs and members of organizing and technical committees of many international conferences, and as associate editor and member of the editorial boards of many international journals. Dr. Cao is a fellow of IEEE and ACM distinguished member. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.

Title: When IoT Meets Big Data

Abstract: As the Internet becomes increasingly ubiquitous, it is evolving into the medium for connecting objects that are embedded in the physical world. The coupling between such objects and a worldwide standard-based communication infrastructure constitutes the Internet of Things (IoT) and is characterized by machine-to-machine (M2M) communications. IoT has many applications including smart cities, logistics, industrial control and healthcare. Currently, IoT technologies still largely focus on the networking aspect of connecting and controlling the things. As the IoT continues to develop, further potential can be realized by a combination with related technology approaches such as Cloud computing, Big Data, and AI. In this talk, I will describe the evolution of IoT from instrumentation and interconnection to intelligence and summarize our research in the past years along this direction towards smart IoT. Smart IoT will facilitate a sustainable platform empowering advanced applications. I will focus on the current challenges and future development of smart IoT that adds intelligence to IoT leveraging big data analytics and edge computing.

Invited Speakers

Prof. Xuan Tang

Haixi Institutes Chinese Academy of Sciences, China

About: Xuan Tang is an academic leader and Professor at Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences (CAS) since Oct. 2014. She is a team member of Youth Innovation Promotion Association CAS. Her research interests are in the areas of optical wireless communication systems including high speed infrared/ultraviolet laser communications, visible light communications and optical MIMO systems, as well as radio frequency communication technologies. She was awarded BEng in Electronic and Communications Engineering and PhD on Polarisation Shift Keying Modulated Free-Space Optical Communication Systems in 2008 and 2012 from Northumbria University, UK, respectively. From Oct. 2012 to July 2014, she worked as the Postdoctoral Researcher at the Department of Electronic Communications Engineering, Tsinghua University. She is the leader for over 10 projects, including Scientific Research Instrument and Equipment CAS, Bureau of International Cooperation CAS, National Natural Science Foundation of China, Returned Overseas Chinese Scholars of the State Education Ministry, several projects collaborated with industries and so on. She has over 70 publications.

Title: Free-Space Optical Communications: Modeling and Performance Evaluation

Abstract: The data transmission rate, range, and reliability of free-space optical communication (FSO) systems are affected by a number of atmospheric phenomena, such as rain, haze, fog, snow, and scintillation. Thick fog with over 300 dB/km of attenuation limits the link length to around 100 m. Even under clear air conditions with no atmospheric scattering, the FSO communication link still suffers from fading due to scintillation. Scintillation fade margins are 2 to 5 dB for FSO links of 500 metres or less, which is well below margins for the atmospheric attenuation. For the link range beyond 1 km, scintillation may severely impact the performance of FSO links, thus resulting in the link deterioration, i.e., higher outage probability and ultimately complete link failure. In this presentation the performance of terrestrial FSO system under various channel conditions, such as fog, sandstorm, and turbulence, will be investigated and analysed. The results are theoretically and experimentally compared with the existing channel models.

Prof.Jenq-Shiou Leu

Taiwan Tech (NTUST), Taiwan

About: Jenq-Shiou Leu received his B.S. in mathematics and his M.S. in computer science and information engineering from National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively, and his Ph.D. on a part-time basis in computer science from National Tsing Hua University, HsingChu, Taiwan, in 2006. He was with Rising Star Technology, Taiwan, as an R&D Engineer from 1995 to 1997, and worked in the telecommunication industry (Mobital Communications and Taiwan Mobile) from 1997 to 2007 as an Assistant Manager. In February 2007, he joined the Department of Electronic and Computer Engineering at National Taiwan University of Science and Technology as an Assistant Professor. From February 2011 to January 2014, he was an Associate Professor. Since February 2014, he is a Professor and Vice Chairperson. Prof. Leu’s research interests include: Heterogeneous Network Integration, Mobile Service and Platform Design, Distributed Computing (P2P, Cloud Computing), Green and Orange Technology Integration. He has published extensively in these areas, with 55 SCI indexed journal papers and 57 conference papers or book chapters. He is a senior member of IEEE.

Title: Energy Efficient Streaming for Smartphone by Video Adaptation and Backlight Control

Abstract: Smartphone becomes an indispensable gadget in our daily life. Prolonging battery life on smartphone can extend the usability of the phone without being recharged, especially for accessing streaming video, which is a paramount service in the mobile Internet era. Many researchers have proposed energy efficient streaming methods, including bandwidth control and packet scheduling. Such studies have focused on reducing the energy consumption of central processing units (CPUs) and wireless networks; however, screens may drain substantial energy on smartphone. In this study, an energy efficient streaming sys- tem is proposed, combining adaptive coding and a backlight control mechanism. A non-parametric signal prediction is used to predict the network condition and then some adaptive encoding parameters are subsequently adjusted to fit the network capability. A histogram equalization is applied to compensate for the loss of image contrast after reducing the backlight. To validate the proposed concept, some experiments were conducted and the corresponding results show that the proposed streaming system can effectively reduce energy consumption on smartphone, while accessing the video streaming service.