The Analog is the monthly newsletter of the Central Texas Section of the Institute of Electrical and Electronic Engineers, Inc. New issues are published around the first of each month. The deadline for inclusion of material is the 26th of the month. Send submissions, comments, questions to John Purvis, Editor, john.purvis@ieee.org. Archives of The Analog can be found on the CTS web site here.
You can always check on all of the upcoming Central Texas Section activities here
Follow the
Central Texas Section in Social Media
From the Central Texas Section Chair
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Insider Webinars Learn from
industry experts about latest technology
advances via our free Tech Insider Webinars.
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CodeAcademy
Learn to code
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Corsea.orgA web site that
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offerings. Their tag line is "Take the World's
Best Courses, Online, For Free." They have 16
course categories, most in technology areas
from 16 major universities.
MIT Open
CoursewareMIT
OpenCourseWare (OCW) is a web-based
publication of virtually all MIT course
content. OCW is open and available to the
world and is a permanent MIT activity. More
can be learned here.
Saylor.org: Free Education The tag line of
the Saylor website is "Harnessing Technology
to Make Education Free." Although Saylor.org
does not grant degrees, students can download
a certificate of completion for successfully
passing the exam at the end of each course.
There are thirteen areas of study that
visitors can choose to explore, including
Computer Science, Chemistry, Mathematics, and
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University of
Texas Professional DevelopmentUT Center for
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(these are NOT free). The list can be found here.
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Some people think studying other people work will help you succeed in yours, others think innovation and thinking outside the box is what they need to succeed. Gary Kildall, an electrical engineer tweeted few weeks ago in in the IEEE@IEEE.org twitter that knowing the work of others helps push your own work forward and we need to study people’s work, their approaches to problem solving and tools they used give a fresh way to look at your own work. That is in other words, working inside the box. In my view, there are no rules of what to do. When it comes to daily responsibilities, it can be a response to a past learning involvement from your previous jobs or first boss and I think first boss teachings are vital in shaping your career. It’s either the boss or any other engineer you worked with and learned from. During the first few years of my career, I was blessed to report equally in engineering and management to Mr. Avdos, a genius engineer and planner from Greece. I met John during the summer of 1988, when I was a senior in college and worked for him during the first 5 years. From John I learned the most valuable lesson; thinking that we should do the work as we have always learned and continuously did as no better effective method will do well; can discourage creatively wellness. Creative works always start by looking for different perspectives of execution the work, generating multiple flexible thoughts, develop and elaborate these ideas and incorporate any chances of failures and success then pick the idea that no one else had picked it before.
During my first business, I spent the first few years looking for different ideas and different aspects of doing my work differently. I never had a super genius way of doing the work, but the amount of good ideas I had helped me to win many new clients and projects for many years. Some of the different ideas I had incorporated in my first business were applying ISO quality system to my company where no one else had started doing so, distinguished logo and many other small ideas. I admit some of these ideas were costly for small business like mine, but at the end, I have learned a lot from generating and applying these ideas to my business. That is what it is all about, learning. I always believed that nothing is impossible. Nothing should stop us from break the box and go as far as we can.
Albert Einstein said once: “There are only two ways to live your life. One is as though nothing is a miracle. The other is as though everything is a miracle.” And always I thought nothing is miracle.
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| |
IEEEXplore
- full text access to IEEE Publications The Spectrum Online - The Magazine for Technology Insiders IEEE: The Bridge - IEEE-Eta Kappa Nu (IEEE-HKN)'s signature publication, an interactive digital magazine published three times a year. IEEE Member Newsletter https://theinstitute.ieee.org |
See also https://www.wikicfp.com - A place to organize and share Calls for Papers.
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The mission of the Texas Advanced Computing Center (TACC), at the University of Texas at Austin, is to enable discoveries that advance science and society through the application of advanced computing technologies. TACC offers STEM programming for students of all ages, building the pipeline for the next generation of innovators. CODE@TACC (Jr. SCI) is a two-week, summer program that exposes rising high school juniors and seniors to a variety of STEM careers by teaching the principles of high performance computing. TACC's K-12 Education Programs Coordinator and FabFem, Mariel Robles, is passionate about increasing the understanding and appreciation of STEM careers as well as promoting gender equity and minority participation in science and engineering. Applications for CODE@TACC open Winter 2015. Stay connected to TACC through Facebook, Twitter and LinkedIn.
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Topic/Title |
Tackling Variability Challenges in VLSI Circuits |
|---|---|
|
Speaker |
Mingoo Seok of University of Pennsylvania Mingoo Seok is an assistant professor in the Department of Electrical Engineering at Columbia University since 2012. He received the BS (with summa cum laude) in electrical engineering from Seoul National University, South Korea, in 2005, and the MS and PhD degree from University of Michigan in 2007 and 2011, respectively, all in electrical engineering. He has spent about a year as a member of technical staff in the Systems and Applications R&D Center of Texas Instruments, Dallas. His research interests include variation-tolerant and low-power VLSI circuits, ultra-low-power SoC for emerging embedded systems such as biomedical devices, brain-computer interface, and Internet of Things, machine-learning accelerator architecture, and non-conventional computing devices. He received 1999 Distinguished Undergraduate Scholarship from the Korea Foundation for Advanced Studies, 2005 Doctoral Fellowship from the same organization, and 2008 Rackham Pre-Doctoral Fellowship from University of Michigan. He also won 2009 AMD/CICC Scholarship Award for picowatt voltage reference work and 2009 DAC/ISSCC Design Contest for the 35pW sensor platform design (a.k.a. Phoenix Processor). He holds one issued international patent and three pending patents. He has served as an associate editor for IEEE Transaction on Circuits and Systems I. |
|
Abstract |
In this talk, we will discuss variability
challenges in VLSI design and our recent research
efforts on variation-tolerant design techniques.
Variability in circuit delay, chip temperature,
and transistor aging have imposed a large amount
of pessimistic margins in frequency, voltage, and
device size, which has severely undermined gains
from various boundary-pushing efforts. We will
present (1) a low-overhead, in-situ,
within-a-cycle error detection and correction
technique that can operate at near/sub-threshold
voltage, (2) ultra-compact thermal sensor circuits
enabling 10X denser on-chip thermal sensing, (3)
self-testing circuits and frameworks for in-field
& in-situ aging monitoring in pipeline and
SRAM register files. Several test chip measurement
results will be presented. |
|
Date/Time |
January 9th from 11:45AM to 1:00PM |
|
Cost |
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|
Reservations |
Please RSVP at the vTools link below so we know
how much food to order. We will have catered
pizza and water. Networking starts at
11:45AM and the talk will start at about noon. https://meetings.vtools.ieee.org/meeting_view/list_meeting/30937 |
|
Location |
ACES (or POB) 2.402 201 East 24th St Austin, Texas 78712 |
|
Notes |
Joint meeting with CAS/SSC Societies |
The CEDA chapter normally meet on the 3rd Thursday of every month. This meeting is open to the public and interested parties. Additional details will be posted at the website. If you have any questions about this meeting or this group, please contact zhuoli@ieee.org.
Back to TOP
|
Topic/Title |
Tackling Variability Challenges in VLSI Circuits |
|---|---|
|
Speaker |
Mingoo Seok of University of Pennsylvania Mingoo Seok is an assistant professor in the Department of Electrical Engineering at Columbia University since 2012. He received the BS (with summa cum laude) in electrical engineering from Seoul National University, South Korea, in 2005, and the MS and PhD degree from University of Michigan in 2007 and 2011, respectively, all in electrical engineering. He has spent about a year as a member of technical staff in the Systems and Applications R&D Center of Texas Instruments, Dallas. His research interests include variation-tolerant and low-power VLSI circuits, ultra-low-power SoC for emerging embedded systems such as biomedical devices, brain-computer interface, and Internet of Things, machine-learning accelerator architecture, and non-conventional computing devices. He received 1999 Distinguished Undergraduate Scholarship from the Korea Foundation for Advanced Studies, 2005 Doctoral Fellowship from the same organization, and 2008 Rackham Pre-Doctoral Fellowship from University of Michigan. He also won 2009 AMD/CICC Scholarship Award for picowatt voltage reference work and 2009 DAC/ISSCC Design Contest for the 35pW sensor platform design (a.k.a. Phoenix Processor). He holds one issued international patent and three pending patents. He has served as an associate editor for IEEE Transaction on Circuits and Systems I. |
|
Abstract |
In this talk, we will discuss variability
challenges in VLSI design and our recent research
efforts on variation-tolerant design techniques.
Variability in circuit delay, chip temperature,
and transistor aging have imposed a large amount
of pessimistic margins in frequency, voltage, and
device size, which has severely undermined gains
from various boundary-pushing efforts. We will
present (1) a low-overhead, in-situ,
within-a-cycle error detection and correction
technique that can operate at near/sub-threshold
voltage, (2) ultra-compact thermal sensor circuits
enabling 10X denser on-chip thermal sensing, (3)
self-testing circuits and frameworks for in-field
& in-situ aging monitoring in pipeline and
SRAM register files. Several test chip measurement
results will be presented. |
|
Date/Time |
January 9th from 11:45AM to 1:00PM |
|
Cost |
|
|
Reservations |
Please RSVP at the vTools link below so we know
how much food to order. We will have catered
pizza and water. Networking starts at
11:45AM and the talk will start at about noon. https://meetings.vtools.ieee.org/meeting_view/list_meeting/30937 |
|
Location |
ACES (or POB) 2.402 201 East 24th St Austin, Texas 78712 |
|
Notes |
Joint meeting with ECDA |
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No meeting scheduled at this time |
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| Topic/Title | Meters to Models: Using Residential Smart Meter
Data to Predict and Control Home Energy Usage |
|---|---|
| Speaker | Krystian Perez, University of Texas at Austin Krystian Perez is a PhD student in chemical engineering at the University of Texas at Austin working under Drs. Edgar and Baldea. He earned his B.S. degree in chemical engineering from Brigham Young University in Utah. He is interested in developing residential neighborhood models based on the human activity patterns, weather trends and first principles of an individual home. From this model he would like to determine the most efficient means to control electric loads, use alternative energy sources (e.g. photovoltaics) and energy storage devices (e.g. thermal storage tanks) to mitigate peak energy demand at the level of an entire residential community. He has worked with smart meter data from Pecan Street Research Institute. |
| Abstract | Access to smart meter data in the United States
presents an opportunity to better understand
residential energy consumption and energy-related
behaviors. Air-conditioning (A/C) use, in
particular, is a highly variable and significant
contributor to residential energy demand. Most
current building simulation software tools require
intricate detail and training to accurately model
A/C use within an actual house. However,
integrating existing modeling software and
empirical data has the potential to create highly
portable and accurate models. Reduced-order models
(ROM) are low-dimensional approximations of more
complex models that use only the most impactful
variables. In this paper, we report on the
development of ROMs for 41 physical houses in
Austin, Texas, using smart meter data. These
models require outdoor dry bulb temperature,
thermostat set points and A/C energy use data to
regress model coefficients. A non-intrusive load
monitoring technique is used to disaggregate A/C
electricity consumption from whole-house
electricity data reported by smart meters.
Thermostat set points are provided by smart
thermostats. Once trained, the models can use
thermostat set points and dry bulb temperatures to
predict A/C loads. The ROMs are used to evaluate
the potential of automated thermostat control to
reduce the aggregate peak demand. A centralized
model predictive controller reduces the aggregate
peak load by adjusting the thermostat set points
to pre-cool houses and staggers the time A/C units
turn on. |
| Date/Time | January 19, 2015, 6:00-7:30pm |
| Location | National Instruments, Building C 1S13, 11500 N
Mopac Expwy, Austin, TX 78759 |
| Cost | |
| Reservations | https://meetings.vtools.ieee.org/m/31209
|
| Notes |
Joint meeting with Instrumentation and
Measurement Society, Austin ComSoc Society and
Austin PE/PEL/IA/IE Societies |
Back to TOP
| Topic/Title | No meeting scheduled at this time |
|---|---|
| Speaker | |
| Abstract | |
| Date/Time | |
| Location | |
| Cost | |
| Reservations | |
| Notes |
Back to TOP
| Topic/Title | 3D Printing & Industrial Design |
|---|---|
| Speaker | Matt Fiedler |
| Speaker Bio | |
| Abstract | TBD |
| Date/Time | January 28, 6:30 p. m. |
| Location | PoK-e-Jo's Restaurant, 2121 W. Parmer Lane at
Lamplight Village, Austin TX 78727 |
| Cost | $5 minimum cost for restaurant, supper optional
at extra cost. |
| Reservations | Not required. All interested parties are
invited to attend. For more information, go
to: https://www.ewh.ieee.org/r5/central_texas/cn/index.html |
| Notes |
Do a friend a favor. Bring your colleagues to grow the Consultants Network.
More information on Consultants Networks
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No meeting scheduled at this time |
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Topic/title |
TBA |
|---|---|
|
Speaker |
Jim Drewniak |
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Abstract |
TBA |
|
Date/time |
Wednesday, January 21, 2015, 6:30-7:00PM
social/food, 7:00-9:00pm program |
|
Location |
National Instruments, Building C, 11500 N. Mopac
Expwy, Austin, TX, 78759 |
|
Cost |
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Reservations |
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Notes |
See the EMC Society Chapter web site at https://sites.ieee.org/ctx-emcs/ for more information and directions. This meeting is open to the public. |
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No meeting scheduled at this time |
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Refreshments |
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| Topic/Title | No meeting scheduled at this time |
|---|---|
| Speaker | |
| Abstract | |
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| Cost | |
| Reservations | |
| Location |
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| Notes |
Back to TOP
| Topic/Title | No meeting scheduled at this time |
|---|---|
| Speaker | |
| Abstract | |
| Date/Time | |
| Cost | |
| Reservations | |
| Location | |
| Notes |
Back to TOP
| Topic/Title | Meters to Models: Using Residential Smart Meter
Data to Predict and Control Home Energy Usage |
|---|---|
| Speaker | Krystian Perez, University of Texas at Austin Krystian Perez is a PhD student in chemical engineering at the University of Texas at Austin working under Drs. Edgar and Baldea. He earned his B.S. degree in chemical engineering from Brigham Young University in Utah. He is interested in developing residential neighborhood models based on the human activity patterns, weather trends and first principles of an individual home. From this model he would like to determine the most efficient means to control electric loads, use alternative energy sources (e.g. photovoltaics) and energy storage devices (e.g. thermal storage tanks) to mitigate peak energy demand at the level of an entire residential community. He has worked with smart meter data from Pecan Street Research Institute. |
| Abstract | Access to smart meter data in the United States
presents an opportunity to better understand
residential energy consumption and energy-related
behaviors. Air-conditioning (A/C) use, in
particular, is a highly variable and significant
contributor to residential energy demand. Most
current building simulation software tools require
intricate detail and training to accurately model
A/C use within an actual house. However,
integrating existing modeling software and
empirical data has the potential to create highly
portable and accurate models. Reduced-order models
(ROM) are low-dimensional approximations of more
complex models that use only the most impactful
variables. In this paper, we report on the
development of ROMs for 41 physical houses in
Austin, Texas, using smart meter data. These
models require outdoor dry bulb temperature,
thermostat set points and A/C energy use data to
regress model coefficients. A non-intrusive load
monitoring technique is used to disaggregate A/C
electricity consumption from whole-house
electricity data reported by smart meters.
Thermostat set points are provided by smart
thermostats. Once trained, the models can use
thermostat set points and dry bulb temperatures to
predict A/C loads. The ROMs are used to evaluate
the potential of automated thermostat control to
reduce the aggregate peak demand. A centralized
model predictive controller reduces the aggregate
peak load by adjusting the thermostat set points
to pre-cool houses and staggers the time A/C units
turn on. |
| Date/Time | January 19, 2015, 6:00-7:30pm |
| Location | National Instruments, Building C 1S13, 11500 N
Mopac Expwy, Austin, TX 78759 |
| Cost | |
| Reservations | https://meetings.vtools.ieee.org/m/31209
|
| Notes |
Joint meeting with Austin Computer Society,
Austin ComSoc Society and Austin PE/PEL/IA/IE
Societies |
Back to TOP
No meeting scheduled at this time.
For more information, contact Mikhail Belkin
Back to TOP
| Topic/Title | No meeting scheduled at this time |
|---|---|
| Speaker | |
| Abstract | |
| Date/Time | |
| Location | |
| Cost | |
| Reservations | |
| Notes |
For information email Tom Grim |
Back to TOP
| Topic/Title | No meeting scheduled at this time |
|---|---|
| Speaker | |
| Abstract | |
| Date/Time | |
| Location | |
| Cost | |
| Reservations | |
| Notes |
Back to TOP
| Topic/Title | Meters to Models: Using Residential Smart Meter
Data to Predict and Control Home Energy Usage |
|---|---|
| Speaker | Krystian Perez, University of Texas at Austin Krystian Perez is a PhD student in chemical engineering at the University of Texas at Austin working under Drs. Edgar and Baldea. He earned his B.S. degree in chemical engineering from Brigham Young University in Utah. He is interested in developing residential neighborhood models based on the human activity patterns, weather trends and first principles of an individual home. From this model he would like to determine the most efficient means to control electric loads, use alternative energy sources (e.g. photovoltaics) and energy storage devices (e.g. thermal storage tanks) to mitigate peak energy demand at the level of an entire residential community. He has worked with smart meter data from Pecan Street Research Institute. |
| Abstract | Access to smart meter data in the United States
presents an opportunity to better understand
residential energy consumption and energy-related
behaviors. Air-conditioning (A/C) use, in
particular, is a highly variable and significant
contributor to residential energy demand. Most
current building simulation software tools require
intricate detail and training to accurately model
A/C use within an actual house. However,
integrating existing modeling software and
empirical data has the potential to create highly
portable and accurate models. Reduced-order models
(ROM) are low-dimensional approximations of more
complex models that use only the most impactful
variables. In this paper, we report on the
development of ROMs for 41 physical houses in
Austin, Texas, using smart meter data. These
models require outdoor dry bulb temperature,
thermostat set points and A/C energy use data to
regress model coefficients. A non-intrusive load
monitoring technique is used to disaggregate A/C
electricity consumption from whole-house
electricity data reported by smart meters.
Thermostat set points are provided by smart
thermostats. Once trained, the models can use
thermostat set points and dry bulb temperatures to
predict A/C loads. The ROMs are used to evaluate
the potential of automated thermostat control to
reduce the aggregate peak demand. A centralized
model predictive controller reduces the aggregate
peak load by adjusting the thermostat set points
to pre-cool houses and staggers the time A/C units
turn on. |
| Date/Time | January 19, 2015, 6:00-7:30pm |
| Location | National Instruments, Building C 1S13, 11500 N
Mopac Expwy, Austin, TX 78759 |
| Cost | |
| Reservations | https://meetings.vtools.ieee.org/m/31209
|
| Notes |
Joint meeting with Instrumentation and
Measurement Society, Austin ComSoc Society and
Austin Computer Society |
|
Topic/Title |
Exothermic Welding |
|---|---|
|
Speaker |
Dave Dixon, |
|
Abstract |
TBA |
|
Date/Time |
January 27, 2015 6:00 to 6:30 PM Social 6:30 to 7:00 PM Dinner 7:00 to 7:30 PM Business Meeting 7:30 to 8:30 PM Program 9:00 PM room closes for the benefit of long distance drivers and early risers |
|
Refreshments |
|
|
Reservations |
If you plan on attending, please RSVP by
sending an e-mail to ieee.pi2.austin@zxtech.net.
|
|
Location |
El Gallo Mexican Restaurant, 512-444-2205 2910 S Congress Austin, Texas |
|
Notes |
Back to TOP
| Topic/Title | No meeting scheduled at this time |
|---|---|
| Speaker | |
| Abstract | |
| Date/Time | |
| Location |
|
| Cost | |
| Reservations | |
| Notes |
Back to TOP
| Topic/Title | No meeting this month but will meet in February |
|---|---|
| Speaker | |
| Abstract | |
| Date/Time | |
| Cost | |
| Reservations | |
| Location | |
| Notes |
Back to TOP
| Topic/Title | Meters to Models: Using Residential Smart Meter
Data to Predict and Control Home Energy Usage |
|---|---|
| Speaker | Krystian Perez, University of Texas at Austin Krystian Perez is a PhD student in chemical engineering at the University of Texas at Austin working under Drs. Edgar and Baldea. He earned his B.S. degree in chemical engineering from Brigham Young University in Utah. He is interested in developing residential neighborhood models based on the human activity patterns, weather trends and first principles of an individual home. From this model he would like to determine the most efficient means to control electric loads, use alternative energy sources (e.g. photovoltaics) and energy storage devices (e.g. thermal storage tanks) to mitigate peak energy demand at the level of an entire residential community. He has worked with smart meter data from Pecan Street Research Institute. |
| Abstract | Access to smart meter data in the United States
presents an opportunity to better understand
residential energy consumption and energy-related
behaviors. Air-conditioning (A/C) use, in
particular, is a highly variable and significant
contributor to residential energy demand. Most
current building simulation software tools require
intricate detail and training to accurately model
A/C use within an actual house. However,
integrating existing modeling software and
empirical data has the potential to create highly
portable and accurate models. Reduced-order models
(ROM) are low-dimensional approximations of more
complex models that use only the most impactful
variables. In this paper, we report on the
development of ROMs for 41 physical houses in
Austin, Texas, using smart meter data. These
models require outdoor dry bulb temperature,
thermostat set points and A/C energy use data to
regress model coefficients. A non-intrusive load
monitoring technique is used to disaggregate A/C
electricity consumption from whole-house
electricity data reported by smart meters.
Thermostat set points are provided by smart
thermostats. Once trained, the models can use
thermostat set points and dry bulb temperatures to
predict A/C loads. The ROMs are used to evaluate
the potential of automated thermostat control to
reduce the aggregate peak demand. A centralized
model predictive controller reduces the aggregate
peak load by adjusting the thermostat set points
to pre-cool houses and staggers the time A/C units
turn on. |
| Date/Time | January 19, 2015, 6:00-7:30pm |
| Location | National Instruments, Building C 1S13, 11500 N
Mopac Expwy, Austin, TX 78759 |
| Cost | |
| Reservations | https://meetings.vtools.ieee.org/m/31209
|
| Notes |
Joint meeting with Instrumentation and
Measurement Society, Austin PE/PEL/IA/IE
Societies and Austin Computer Society |
Back to TOP
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Topic/Title |
No meeting scheduled at this time |
|---|---|
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Topic/Title |
No meeting scheduled at this time |
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Notes |
For further information, contact David Akopian david.akopian@utsa.edu
|
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| Topic/Title | No meeting scheduled at this time |
|---|---|
| Speaker | |
| Abstract | |
| Date/Time | |
| Location | |
| Cost | |
| Registration | |
| Notes |
Contact Leslie Martinich (lmartinich@ieee.org) for more information about the Austin TMC.
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| Topic/Title | No meeting scheduled for TMC SA for the month of
Jan. Next meeting will be in Feb. |
|---|---|
| Speaker | |
| Abstract | |
| Date/Time | |
| Location | |
| Cost | |
| Registration | |
| Notes |
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| Topic/Title | No meeting scheduled at this time | |
|---|---|---|
| Speaker | ||
| Abstract | ||
| Date/Time | ||
| Location | ||
| Cost | ||
| Registration |
Contact Leslie Martinich (lmartinich@ieee.org) for more information about WIE.