SCV-IMS

2017 Archived Event: Technical Seminar

Dates: November 28, 2017

Location: Geometrics

Meeting Room
2190 Fortune Drive
San Jose, CA 95131
RSVP: brian.lee@ieee.org
By November 27, 2017

Topic

Quantum computing: What it is and why measurement matters

Presenters

Lee Barford

Lee Barford is a Keysight Fellow and works at Keysight Laboratories. He has previously had senior technical roles at Agilent and at Hewlett-Packard Laboratories. He leads research to identify and apply emerging technologies in software, applied mathematics, and statistics to enable new kinds of measurements and increase measurement accuracy and speed.

Abstract

For the last year or so, there have been a number of stories in the technical press about universities' and companies' progress toward developing quantum computers. Often, these articles give a number of quantum bits (qubits) that the researchers have built. This talk will describe what drives interest in quantum computing, what is a qubit, and what advantages and disadvantages quantum computing has compared to classical computing. It will also discuss why measurement plays a key role in a many operation of proposed types of quantum computer.

Meeting Agenda

6:00 PM to 6:30 PM Check in
6:30 PM to 7:30 PM Presentation
7:30 PM to 7:45 PM Comments and Conclusions

Organizers

Brian Lee and Rahul Mhaskar

Audiences

Both IEEE members and non-members are welcome. Admission is free.


RSVP: brian.lee@ieee.org
By November 27, 2017

Contact


Yeou Song (Brian) Lee
brian.lee at ieee.org

Dates: August 23, 2017

Location: Geometrics

Meeting Room
2190 Fortune Drive
San Jose, CA 95131
RSVP: brian.lee@ieee.org
By August 22, 2107

Video Tutorial#1

The Drone as a Flexible Mobile Measurement Platform

Presenters

Luca De Vito and Francesco Picariello, University of Sannio, Italy

Video Tutorial#1 Abstract

In this tutorial from the IEEE Instrumentation and Measurement Society, Luca De Vito and Francesco Picariello present the issues related to the design and the characterization of a measurement system based on a drone, with particular attention to the procedure to determine the influence of the platform on the measurement accuracy. Unmanned Aerial Vehicles (UAVs) are becoming popular as carrier for several sensors and measurement systems, due to their low weight, small size, low cost and easy handling, which make them flexible and suitable in many measurement applications, mainly when the quantity to be measured is spread over a wide area or it lies in human-hostile environments. However, the drone itself can interact with both the measurand and the sensors, thus influencing the measurement results. For this reason, the drone equipped with the sensors must be thought as a measurement platform and must be characterized as a whole. The tutorial will introduce the architecture of the drone, by highlighting its subsystems and the parameters that can influence the on-board sensors and measurement systems. Then, an overview of the sensors and measurement systems that can be embedded on the drone will be given, by presenting their operating principle and applications. Finally, some measurement applications will be described. For such applications, the measurement chain is analyzed and the influence of the flight parameters is taken into account to assess the measurement uncertainty.



Video Tutorial#2

Measurement Systems and Sensors for Autonomous Vehicles

Presenter

Sergio Saponara, University of PISA, Italy

Video Tutorial#2 Abstract

In this tutorial from the IEEE Instrumentation and Measurement Society, Sergio Saponara focuses on recent advances in sensors and on-board instrumentation for new vehicle generations with driver-assistance capabilities. The tutorial will focus on recent advances in sensors and on-board instrumentation for new vehicle generations with driver-assistance capability. The economic and social impact of this application field is huge: every year 90 millions of vehicles are sold worldwide, but 1.25 millions of people are killed due to lack of safety. In US 3.1 billions of gallons of fuel are wasted due to traffic congestion. Assisted driving, and in the next future autonomous driving, will increase safety, and will enable intelligent management of traffic flows. Key enabling technologies for this scenario are the on-board sensing systems and relevant HW-SW acquisition/processing instrumentation for collision avoidance, cruise and brake control, parking assistance, enhanced driver vision, tyre condition monitoring, to name just a few. The tutorial will be divided in 4 Parts. In Part 1 "Introduction", innovation and market trends in the field of ICT applied to vehicles and intelligent transport systems will be discussed, particularly focusing on next generation of driver-assisted/autonomous vehicles. In Part 2 "Advanced Sensors for Detection and Ranging" real-time sensor acquisition and processing of data from Radar and Lidar will be discussed. A comparison of the two technologies will be also carried out. These sensors aim at detecting if there are obstacles around the vehicle, and at measuring their distance, relative speeds, and directions. Practical examples of multi-channel vehicular Radar systems developed by the instructor will be discussed. Instead, Part 3 "Vision Sensors for Smart Vehicles and ITS" will focus on vision sensors, organized as array of video cameras operating in visible or near infrared spectrum. The problem of reducing the distortions caused by the adoption of large Field of View fish eye lens will be also discussed. Some applications to traffic sign recognition systems, road signs recognition, image mosaicking for all around view during parking assistance, will be discussed. Finally, Part 4 "Sensor Fusion Towards the Autonomous Car" will discuss examples of driver assistance/autonomous navigation by using sensor fusion (i.e. integrating information coming from Radar and Lidar and video camera). An analysis of errors in real-time obstacle tracking will be done. Functional safety issues will be also discussed.

Meeting Agenda

6:00 PM to 6:30 PM Check in
6:30 PM to 7:00 PM Watch Video Topic #1 and Group Discussion
7:00 PM to 7:30 PM Watch Video Topic #2 and Group Discussion
7:30 PM to 7:45 PM Comments and Conclusions

Organizers

Brian Lee and Rahul Mhaskar

Audiences

Both IEEE members and non-members are welcome. Admission is free.


RSVP: brian.lee@ieee.org
By August 22, 2107

Contact


Yeou Song (Brian) Lee
brian.lee at ieee.org