Distinguished Lecturer Program Series

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  90minsElementaryIntermediateLivestream: Wednesday, March 15, 10:30 AM JST/KST (GMT+9)

  Locating and Controlling Chaotic Saddles

  Prof. Tetsushi Ueta (Tokushima University)

  Some planar discrete nonlinear systems may have a horseshoe structure with stable and unstable manifolds associated with a saddle fixed point. Under this situation, as is well known, there are infinitely many unstable periodic points around the saddle. By making correspondence of the cross sections of manifolds and symbolic dynamics, one can obtain a “candidate area” containing an unstable periodic point whose period is given by the gray code. These unstable periodic points can be stabilized by applying any chaos control technique into that candidate area, for which the external force control method exhibits a very robust control performance. In this talk, a horseshoe structure derived by the Poincaré mapping for a two-dimensional nonautonomous hybrid system is analyzed as an example. As an example, locating scheme for unstable periodic points is demonstrated, and their control results are presented.

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  90minsBeginnerIntermediate

  Augmenting Humans — From Physiology Signals towards Digitalized Emotion

  Prof. Kai Kunze (Keio University)

  In my research, I combine design and technology to augment human senses, looking for novel interaction paradigms. Engineering and computing have often been used to mimic or surpass some human abilities (for example autonomous driving, playing Go). Such efforts appear to put humans and computers in a competitive relationship, as emphasized in AI vs. Human game competitions. Once fantastic fear of AIs “replacing” human workers is now taken much more seriously and discussed in the public sphere. My research proposes a different approach to the human-computer relationship by applying a cooperative and empowering framework, using wearable computing to actively augment human capabilities. At the beginning of my talk, I will discuss our efforts to augment audiences with physiological sensors to understand more about audience/performer entrainment and create feedback spirals. I explore the concepts of entrainment and what it means to be live in person at a meeting/concert or other gathering. We discuss application scenarios of capturing inter-personal synchrony between audience and performers as well as potential body schema extension technologies.

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  60minsIntermediate

  Study of Propagation Characteristics of Terahertz Waves in Beyond 5G

  Prof.Akihiko Hirata (Chiba Institute of Technology)

  The use of 300 GHz band wireless links is currently being considered for various use cases such as backhaul/fronthaul lines, mobile access, wireless local area networks (LANs), and body area networks (BANs) as a way of achieving >100-Gbit/s data rate. In order to make these use cases practical, it is necessary to evaluate the radio propagation characteristics in the 300 GHz band and build a radio propagation model at this frequency. To build a radio propagation model for each of the above use cases, we conduct various radio propagation experiments and simulations. In this lecture, I will present the results of these experiments and simulations of radio propagation in the 300 GHz band.

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  90mins

  Past, present, and future of Internet congestion control

  Prof.Go Hasegawa (Tohoku University)

  Internet Congestion control is essential not only from the performance perspective but also for its stability and robustness. Congestion control has been the subject of continuous research and development since the birth of the Internet.
  In this lecture, we review the Internet congestion control mechanisms that have been proposed, studied, and implemented so far. First, we summarize the existing congestion control mechanisms from the viewpoint of metrics for the degree of network congestion, that is, loss-based, delay-based, bandwidth-based mechanisms, and their hybrid mechanisms.Next, we introduce the history of the congestion control deployed for specialized network environments such as wireless networks, high-speed and long-delay networks, and datacenter networks.
  We further introduce the congestion control mechanisms which utilize some information obtained from the network, such as Explicit Congestion Notification (NCP) and eXplicit Control Protocol (XCP). Some existing mechanisms which introduce in-network control, such as Performance Enhancing Proxy (PEP), are also explained.
  We then explain recent research trends in congestion control mechanisms, including the congestion control plane that implements congestion control mechanisms in user space, SDN-based congestion control, and machine learning-based congestion control.
  Finally, the lecturer introduces his recent research on in-Network Congestion Control architecture (NCC), which breaks away from the end-to-end principle on which the existing Internet congestion control relies, and divides the network between the transmitting and receiving terminals into multiple sub-networks, and applies congestion control algorithms algorithm for each sub-network separately.

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  90minsElementaryIntermediate

  Brainmorphic Computing Paradigm and Hardware

  Prof.Yoshihiko Horio (Tohoku University)

  In order to realize brain-specific computational schemes such as consciousness/subconsciousness, prediction, inference, memory, attention, self, etc., novel computational principle, architecture, and devices are required, which would be very different from those in von Neumann-type digital computers. This talk introduces the brainmorphic computing paradigm and its hardware architecture. In the brainmorphic computing paradigm, information processing is performed through imitating the anatomical and physiological structure and dynamics of the brain, which have been evolutionally developed. The latest knowledge from brain science, especially, on high-order brain specific functions coemerged from high-dimensional complex structure and neuro-dynamics, should be reflected in the brainmorphic computing paradigm. In addition, the bodily and environmental constraints are considered and utilized as embodiment in this computational paradigm. In order to implement the brainmorphic computing paradigm as hardware, physical and dynamical characteristics of the novel brain-type constituent devices, especially nonlinear analog circuits, and nanometer-scale materials and devices, should be naturally utilized. Our efforts on physical implementation of the brainmorphic computing hardware are illustrated; for example, spin-orbit torque devices for naturally realize neuronal and synaptic dynamics directly, and a chaotic neural network reservoir for computation through high-dimensional complex dynamics.

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  60minsElementaryIntermediate

  Introduction to Bioelectromagnetics – Fundamentals and Applications

  Prof.Akimasa Hirata (Nagoya Institute of Technology)

  The human body whose electrical behavior depend on the frequency should be considered in the modern design of wireless devices which are used in proximity of the human body. However, the complexity of the modeling may depend not only on the frequency but also the individual variabilities, environmental factors, size of the devices and use scenarios. In this lecture, first, a discussion on modeling of the human in the electromagnetics for different cases is provided. Then, the effect of the human presence on the wireless devices including wireless communication terminals and wireless power transfer systems is explained considering typical exposures scenarios. The electromagnetic fields emitted from the electrostatic discharge is also discussed.

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  40minsIntermediateSampling theoremAntenna arrayAntenna diversity

  MIMO and Smart Antenna with Single RF-Baseband Chain and Switching Antenna Array

  Prof.Makoto Taromaru (Fukuoka University)

  MIMO, diversity, or adaptive array antenna, so called “smart antenna,” is an effective technique by space-domain processing to enhance channel capacity or to mitigate multipath fading and interference. However, it is difficult to reduce its cost, circuit size, and power consumption because it needs one by one RF-to-baseband chain for each array element; large scale RF/baseband hardware is necessary especially for large number of antenna elements i.e., massive MIMO and so on. To solve this problem, fast periodical antenna switching or beam scanning techniques have been proposed, where we call them “switching antenna array”. Although these are very attractive since MIMO or digital beamforming can be done with a single analog RF/baseband chain, they cannot perfectly have the same properties as the conventional multi receiver/transmitter architecture due to antenna switching or sampling. In this talk, spurious response/emission, and SNR (signal-to-noise ratio) property of the switching antenna array, are theoretically analyzed, and BER: bit error rate performance is quantitatively evaluated.

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  90minsIntermediate

  Technologies and Commercial Applications of Far Field Wireless Power Transfer

  Naoki Shinohara (Kyoto University)

  A far field Wireless Power Transfer (WPT) is one of innovative radio wave applications and is recently considered as one of game changing technologies based on radio wave. It had been studied historically with microwaves and its application has been narrow beam WPT in which the wireless power is transmitted from one transmitter to one receiver with high beam efficiency. Recently, the WPT is applied as wide beam WPT in which the wireless power is transmitted from one/multi transmitter(s) to one/multi receiver(s) with various radio waves like a wireless communication system. In this talk, I introduce basic theory and technology, recent innovative technologies, and commercial applications of the far field WPT in the world. It involves an antenna / beam forming technology and a circuit technology in a receiver. Additionally, I also introduce discussion status of new radio regulation for the far field WPT in Japan and in the world.

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  90minsIntermediateArtificial intelligence (AI)Neural network hardwareEdge computingPhotonicsSpinPattern information representation and processing

  Physical Reservoir Computing: Its Advantages and Significance

  Prof.Akira Hirose (The University of Tokyo)

  This talk focuses on reservoir computing and its physical realization in the AI & sensor-network era. First, we have a glance of the hardware history in artificial intelligence (AI) including logic architecture and neural networks. The key point in modern AI is emphasized, namely, pattern information representation and pattern information processing. We also present the basic idea and dynamics of reservoir computing by referring to deep learning and time-serial information processing. Then we look through various physical reservoir-computing ideas briefly to catch the variety of physics used in this area and also the key properties. In particular, we go into the details of reservoirs based on photonics and spin waves. The former has been studied for long, resulting in an accumulation of experiences. The latter is new and rich in nonlinearity, hysteresis, anisotropy and dispersion, which enhance the processing ability. Lastly, we discuss the prospects of reservoir computing in the near future society in the context of edge-computing as well as server use in the sensor-network society.

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  40minsAdvancedwireless communicationterahertzCMOS6Gbeyond 5Gtransceiver300 GHz

  Sub-Terahertz Transceivers in Silicon

  Prof.Minoru Fujishima (Hiroshima University)

  The 300GHz band is a frequency band recently identified for wireless communication and is attracting attention towards 6G.However, it is generally believed that as the frequency increases, the communication distance becomes shorter and the applications are limited. In this talk, the relationship between frequency and communication distance will be explained, and the possibility of a 299GHz transceiver using CMOS integrated circuits will be discussed.

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