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fixing date 2019-04-01 18:30:00 US/Pacific

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fixing date 2019-04-12 08:00:00 US/Pacific

fixing date 2019-04-12 14:30:00 US/Pacific

fixing date 2019-03-30 18:00:00 US/Pacific

fixing date 2019-03-30 20:00:00 US/Pacific

fixing date 2019-03-27 17:30:00 US/Pacific

fixing date 2019-03-27 18:30:00 US/Pacific

6 meetings

Title:
ROS Lab: Open Manipulator Build
Date:
March 25th
6:30 PM (2 hours)
Location:
Axiom
Beaverton
Abstract:
This lab is focused on the three of us that are building the Robotis Open Manipulator. We have purchased kits and will be assisted by Michael Brinkley of e1ectr0n. All others on this list are welcome to stop by anytime between 6:30 and 8:30 to see how the build is moving along. You may also enjoy networking with others and share your projects. There will be no other formal activity. 

Builders: (Bring a Ubuntu laptop with ROS installed if you can) 

  • Tom Sommerville
  • Edward Metzler
  • Edward Epp
Foreman
  • Michael Brinkley: e1ectr0n (https://www.e1ectr0n.com)
Open Manipulator Manual: http://emanual.robotis.com/docs/en/platform/openmanipulator/ROS page: http://wiki.ros.org/open_manipulator We will be building the model with Dynamixel XL430-W250-T servos which give it  50 grams (1.7 ounces) payload capacity.  
Title:
IEEE SSCS Oregon Chapter Executive Committee Meeting - March 2019
Date:
March 27th
5:30 PM (1 hour)
Location:
Hillsboro
Abstract:

DATE CHANGE: APRIL 1, 2019

Closed monthly meeting of the IEEE SSCS Oregon Chapter Executive Committee: March 2019

Title:
IEEE Oregon Section YPs- Bowling Night
Date:
March 30th
6:00 PM (2 hours)
Location:
14950 SW Barrows Rd
Beaverton
Abstract:

Come to join us in our Bowling Night. You will have the opportunity to meet engineers from all fields. 

Talk up and throw some bowling balls! 

Title:
IEEE SSCS Oregon Chapter March Meeting and Seminar
Date:
April 1st
6:30 PM (2 hours)
Location:
Hawthorne Farms Building 3
Hillsboro
Abstract:

DATE CHANGE: APRIL 1, 2019

IEEE SSCS Oregon Chapter March Meeting and Seminar

Join us for a talk from SSCS Distinguished Lecturer from Prof. Arun Natarajan of Oregon State University on Monday, April 1.  Food and drinks will be provided during the networking event from 6:30 to 7:00pm.  The seminar will be from 7:00pm to 8:00pm and we will continue with networking until 8:30pm.

 

Abstract:

Achieving battery less sensors/wireless transceivers that can sense, compute and communicate enables a wide range of ubiquitous internet-of-things applications. RF-powering presents a robust, reliable approach for providing energy to such battery-less sensors. In this talk, I will focus on the key technical challenges for achieving wirelessly-powered sensors for representative IoT applications. Following an introduction to far-field wireless powering, I will present architectures and circuits with a focus on increasing wireless powering range and energy harvesting efficiency at the system level. Packaging and sensor size are also critical constraints for such systems and we will discuss how constraints on volume and weight impact circuits and architectures. We will discuss performance in the context of state-of-the-art and outline future research to further enable ubiquitous RF-powered sensing and communication.

Speaker Biography:

Dr. Natarajan's research is focused on RF and mm-wave integrated circuits and systems for wireless communication and imaging. He received the B.Tech. degree in electrical engineering from the Indian Institute of Technology, Madras, in 2001 and the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology (Caltech), Pasadena, in 2003 and 2007, respectively. From 2007 to 2012, he was a Research Staff Member at IBM T. J. Watson Research Center, NY and worked on mm-wave phased arrays for multi-Gb/s data links and airborne radar and on self-healing circuits for increased yield in sub-micron process technologies. Since joining Oregon State University, his research group has focused on low-power RFICs and RF/mm-wave arrays integrated in CMOS/SiGe BiCMOS. Dr. Natarajan received the DARPA Young Faculty Award in 2017, the National Talent Search Scholarship from the Government of India [1995-2000], the Caltech Atwood Fellowship in 2001, the Analog Devices Outstanding Student IC Designer Award in 2004, and the IBM Research Fellowship in 2005, and serves on the Technical Program Committee of the IEEE ISSCC and IEEE RFIC.

Title:
Demystifying Deep Learning
Date:
April 8th
6:30 PM (2 hours)
Location:
Axiom Electronics
Beaverton
Abstract:

Highlights: During this presentation we will take a look "under the hood" of the mathematics which is driving all the excitement. Advanced math concepts are not required. A demonstration will be done with a Python coded example.

The real breakthrough for the modern Artificial Intelligence (A.I.) and Machine Learning (M.L.) technology explosions started back in 1943 when researchers McCulloch & Pitts came up with a mathematical model to represent that function of the biological neuron; nature’s gift that allows all life to operate and learn over time. Eventually this research would give birth to the A.I. revolution that we are experiencing today!

Before there can be any discussions of deep learning, there are some fundamental concepts and terms that need to be understood which begins with the introduction of the perceptron and its' structure. The perceptron is the basic building block of Artificial Neural Networks (ANN). While there are other approaches to A.I., which the other approaches will be briefly discussed, the ANN is the most fundamental approach and more closely relates to the solution to learning that nature has provided all of life; as we know it. There are also different classifications of ANNs, and they will be discussed as well, but to demystify deep learning only the understanding of a basic ANN is needed.

While there are many platforms that allow anybody to leverage the power of A.I. today via such environments as: TensorFlow, PyTorch, Keras, etc., the details of how these systems work is still a mystery to most users. During this presentation we will take a look "under the hood" of the mathematics which is driving all the excitement of the A.I. movement along with the associated challenges. While some knowledge of advanced math concepts would be helpful it is not required as the main math that one needs to be comfortable with is just multiplication and addition. The complexity comes in with the scale and magnitude of the number of operations needed and not the complexity of the operations themselves.

A demonstration will be done with a Python coded example. For those that would like to try it out themselves, the code will be made available during the session.

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Manuel "Manny" Muro studied Electrical & Computer Engineering at N.C. State University, along with a minor in Business. With more than 25 years of industry experience, he has been involved in just about every aspect of the design, verification and testing of semiconductor devices particularly Microprocessors and SoC/ASIC/FPGAs along with Software, RF, Memory, Analog and Mixed-Signal experiences as well. He has worked at start-up companies, as well as some mid-sized and larger companies. Since 2014, he has been working on the hardware implementation of A.I. systems for a local start-up company in North Plains, Oregon; which resulted in two patents being granted at the end of 2018. More recently he has been doing research and development on coming up with novel hardware approaches to significantly accelerate how machine learning is carried out to address both the speed and power consumption issues associated with current methods in how A.I. systems are trained.

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diagram froma; https://cacm.acm.org/magazines/2018/6/228030-deep-learning-hunts-for-signals-among-the-noise/fulltext

Title:
Oregon - NWSE Special Awards Judging
Date:
April 12th
8:00 AM (6.5 hours)
Location:
Viking Pavillion
Portland
Abstract:

Judges Needed for State Science Fairs

IEEE Oregon will again provide Special Awards for the Intel Northwest Science Expo's (NSWE) State Fair on April 12 at PSU.

There are two categories: middle school and high school.

If you are interested in being an IEEE judge for the State Fairs please contact:
Middle School Fair: Coral Jean Cotterell, coraljean.cotterell@ieee.org
High School Fair: Ed Perkins, e.perkins@ieee.org

See http://nwse.org/nwse for more details.

YOU MAY ALSO REGISTER AND INDICATE YOUR INTEREST IN HIGH SCHOOL OR MIDDLE SCHOOL JUDGING.

 

6 meetings. Generated Monday, March 25 2019, at 9:46:04 AM. All times America/Los_Angeles