Emerging Technologies 2018 Session Listing
The program is subject to change in the weeks leading up to the conference. Check back here for the latest schedule, or follow us on Twitter for real-time notice of updates to the program.
Session D2: Digital Revolution and IoT
Start Time: 09:00, Thursday, May 10
Room: Sutcliffe A
Chaired by Chair to be Announced
- 9:00 Bob Merritt, Convergent Semiconductors
The digital revolution goes world wide
- 9:20 Aatmesh Shrivastava, Northeastern University
Computing at the edge: Analog Signal Processing for IoT Using High Precision Analog
Internet-of-Things (IoT) envisions a large-scale deployment of ultra-low power (ULP) electronic devices integrated in our environment to perform meaningful sensing and communication. To reduce the power consumption needed for communication, the amount of data must be reduced which can be done by incorporating computing at the edge in IoT. A conventional digital system that can perform computing at the edge, typically requires a micro-controller and a large amount of memory for storing data which is a significant overhead. Analog computing and processing can achieve both lower power and lower area. This talk presents a high precision analog building blocks which are needed for signal processing for the real-world analog signals. We present structures which can achieve very low power consumption and very low PVT variations. The stable and precise outputs for various fundamental analog circuits can be obtained using sub-threshold operation with switched capacitor resistors (SCR). This biasing scheme is then used for the biasing of a differential amplifier and a second order biquad filter to demonstrate proof of concept. Simulation results show that we can achieve a temperature stability of 50 ppm/oC for gain of a single stage differential amplifier realization and multi-stage filters. These structures can then be used to realize high precision analog computing structures to enable lower area, ultra-low power computing at the edge.
- 9:40 Subhanshu Gupta, Washington State University
Energy-efficient information-aware sampling in Edge Computing devices
Projections of multi-trillion node sensor networks in the future are giving rise to deeply interconnected systems that anticipate, adapt, and control, while being autonomous and dependable. Yet these systems are unsettled in important ways. Transmitting large amounts of raw data, for example, is inefficient, clogs the network, and requires charging batteries frequently. Many of these systems lack any signal-aware capabilities, making them oblivious to changes and characteristics of the input signal which can be used to alter the amount of data that is sampled and transmitted. This talk will describe innovations in recent state-of-the-art analog-to- information converters with emphasis on information-aware sampling architectures that benefit from the ultra-low-power mixed-signal design paradigms to overcome the fundamental trade-offs between energy-quality based on feature-based metrics. These metrics will help in development of hardware models towards a decentralized network with local intelligence helping in reduce the network overhead and the data center processing workload.
- 10:00 Ajit Khosla, Concordia University
Ubiquitous sensors and systems for Internet of Things
- 10:20 COFFEE BREAK
(Mt. Curie Foyer, Sutcliffe Foyer)
- 10:40 Manos Tentzeris, Georgia Tech
3D/4D-printed smart wireless packages, energy harvesters, sensors and modules up to mmW
In this seminar, numerous inkjet-/3D-printed flexible antennas, "smart" packages, RF electronics and sensors fabricated on a variety of substrates are introduced as a system-level solution for ultra-low-cost mass production of Millimeter-Wave Modules for Communication, Energy Harvesting and Sensing applications. Prof. Tentzeris will briefly touch up the state-of-the-art area of 3D/inkjet- printed fully-integrated wireless sensor modules on flexible or 3D multilayer substrates and demonstrate the unique capabilities of additive manufacturing for the fully 3D integration of arbitrary-shape wireless sensors with RF systems on virtually every substrate (glass, paper, plastic, ...) as well as for the first realizations of 4D (morphing/shape changing/origami) multilayer RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced cognitive intelligence and "rugged" packaging. Prof. Tentzeris will discuss issues concerning the power sources of "near-perpetual" RF modules, including flexible energy harvesting approaches involving thermal, EM, vibration and solar energy forms. The final step of the paper will involve examples from mmW conformal/stretchable (e.g. structural health monitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g.CNT) sensors on paper and organic substrates for IoT, smart skin and autonomous vehicle applications. Special focus will be paid on newly developed fully printed 3D ramp interconnects and IC embedding approaches as well as on-chip/on-package printed RF components for further miniaturization and enhanced package intelligence and reliability.
- 11:00 Satinder Singh, Cogknit
Multi processor System On Chip (MPSoC) design challenges in the era of Artificial Intelligence (AI) , ML (Machine Learning), Deep Learning (DL) and Blockchain (BC) applications
- 11:20 Alvaro Pena-Quevedo, University of Puerto Rico
Hurricanes Irma and Maria: total digital collapse at the Caribbean. Rethinking for the future communication systems
The Global Climate Changes brought a very active season on the Atlantic Ocean in 2018. Several strong hurricanes (over class 4) affected the US, such as Harvey, Irma and Maria. In the Caribbean, where digital technology had grown at a great pace, the unexpected happened: a collapse in Advanced Telecommunications. During weeks, the Island of Puerto Rico, holding thousands of cellular antennas, advanced Doppler radars, AM and FM radio stations, and other systems, was silenced by the destruction of over 24-h of winds and water. Even the recovery for telecommunications has become slow due Puerto Rico geography and the placement of the more important antennae on the top of the mountains.
This study not only presents the vulnerability of digital systems to environmental effects, but also it is interested in proposing options and alternatives to overcome future climate events with active technologies and novel constructions. Most of the digital infrastructure was affected by electricity problems, but also antennae requires changes for future events.
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