[TriEmbed] [TAR] [TAR Meeting Monday Nov 5th, 2018 at 7:00pm - NCSU EB1 1007]

Tue Nov 6 01:34:02 CST 2018

Very cool! I know many libraries, systems, consortium etc all think they'll
own the Internet of Things... they certainly would all like to.

I reality, I've seen a lot of moments to standardize software and hardware
systems to save time and money, but; like politics these movements are
short lived because it's difficult to herd cats :-p

I'm eclectic about the hardware, software and especially freeware
applications and open source because it's use is very often a double edged
sword.

It's not always the case that paid software is often less troublesome But
open source almost always seams to leave landmines in its installation
administration and even use which cost time (which equals money)/

When I get a few spare cycles, I'll take a better look at a ROS sandbox to
play in to see how I like things. I'll certainly feedback when I do this
because I know our group have people I can talk to about ROS.

At the moment I'm hip deep in the swap which is GCC cross compiler
Generation... if anyone one has first hand experience creating a cross
toolchain for RPi or anything else sans OS generation, I'd <3 to kick some
ideas around and compare notes... there's some many gotchas because I'm
trying to do this in the cygwin environment on Windows 10. :-p

On Mon, Nov 5, 2018 at 11:56 PM Mahesh Balasubramaniam <maheshba at ieee.org>
wrote:

> No problem, thank you Mike.  I can see possible billions of ROS with IoT
> devices in future :)
>
> On Sun, Nov 4, 2018 at 10:48 PM Mike Lisanke <mikelisanke at gmail.com>
> wrote:
>
>> hey, great minds think a like :-p ... sorry about the previous email
>>
>> On Sun, Nov 4, 2018 at 10:39 PM Mahesh Balasubramaniam via TriEmbed <
>> triembed at triembed.org> wrote:
>>
>>>
>>> We are having our monthly R&A meeting on Nov 5th, 2018 at 7:00pm (6:30
>>> pm for pizza) in 1007 NCSU Engineering Building 1.  The topics will be
>>>
>>> # Survey of Machine Learning Applications(fine-tuned to robotics)
>>> # ROS Architecture Basics with Simulation
>>>
>>> Registration link:
>>> https://events.vtools.ieee.org/m/176665
>>>
>>> Please refer to event details in the forwarded email below for
>>> additional information. All are invited.
>>>
>>> Thank you.
>>>
>>> Mahesh Balasubramaniam
>>> IEEE ENCS RA24 Chair
>>> maheshba at ieee.org
>>> 919-649-6902
>>>
>>> ---------- Forwarded message ---------
>>> From: IEEE eNotice <enotice at ieee.org>
>>> Date: Sun, Nov 4, 2018 at 9:05 PM
>>> Subject: SURVEY OF MACHINE LEARNING APPLICATIONS, ROS ARCHITECTURE
>>> BASICS WITH SIMULATION
>>>
>>> If you are having trouble reading this message, click here
>>> <http://www.mmsend10.com/link.cfm?r=eT7i3nDxhWXAlUJzibppCA~~&pe=UMEFrVjSntPyny-d6NkQsaWb7KA22hJg2eVONPModh4E3ONM8N0WPgVti1jeg8RdrOQxwvaKX0l7RsFf63WOCg~~>
>>> for the web version.
>>>
>>> To view complete details for this event, click here to view the
>>> announcement
>>> <http://www.mmsend10.com/link.cfm?r=eT7i3nDxhWXAlUJzibppCA~~&pe=NL-eMYovkoBV8eoJR03SXi8OB7550CNogd78Uv038e9KMpRPzScnvIOdNw2h0fCVrFv2Z-919ACnuEtyQdl1QQ~~>
>>> SURVEY OF MACHINE LEARNING APPLICATIONS, ROS ARCHITECTURE BASICS WITH
>>> SIMULATION
>>> ------------------------------
>>>
>>> *Survey of Machine Learning and Applications, ROS Architecture Basics*
>>> ------------------------------
>>>
>>> #1) Machine Learning and Deep Learning Applications have been applied to
>>> fields including computer vision, speech recognition, natural language
>>> processing, audio recognition, social network filtering, machine
>>> translation, bioinformatics, drug design and board game programs etc.,
>>> where they have produced results comparable to and in some cases superior
>>> to human experts.
>>>
>>> #2) Robot Operating System(ROS) is being widely used by leading robotics
>>> companies in the industry and academic institutions for a decade. ROS is
>>> also expected to be dominating the specialized robotics and automation
>>> industry solutions for a long while. In contrast to its name, it is
>>> actually not an operating system but rather an open-source robotics
>>> middleware ie., a collection of software frameworks for robot software
>>> development.
>>>
>>> During our monthly technical session during  Nov 5th, Andrew Burruss
>>> from "Deep Learning RTP" group will walkthrough a survey of Machine
>>> Learning Applications, fine-tuned to robotics.
>>>
>>> We will also walkthrough the basics of ROS architecture with simulation
>>> demo examples. After this first step, in a future session, we will conduct
>>> a hands-on ROS practice workshop with specific set of exercises. Our
>>> objective is to create and enhance the ROS expertise in our local community.
>>>
>>> *Speaker Information:*
>>>
>>> Andrew Buruss is an experienced software professsional with a passion in
>>> Deep Learning technologies. Mahesh Balasubramaniam is an experienced
>>> Embedded platform software/firmware developer. He is current IEEE ENCS R&A
>>> chapter chair & a hobbyist.
>>>
>>> *Parking Information:*
>>>
>>> *Plenty of free parking available at following locations adjacent to EB2
>>> Building.*
>>>
>>> 890 Oval Drive, Raleigh, NC 27606   (EB2 entry)
>>>
>>> 911 Partners Way, Raleigh NC 27606 (EB1 entry)
>>>
>>> 1070 Partners Way, Raleigh, NC 27606 (Hunts library 0.2m away)
>>> Date and Time
>>>
>>>    - Date: *05 November 2018*
>>>    - Time: *07:00 PM to 08:30 PM*
>>>    - All times are US/Eastern
>>>    - [image: Google_Cal_icon] Add to Google Calendar
>>>    <http://www.mmsend10.com/link.cfm?r=eT7i3nDxhWXAlUJzibppCA~~&pe=3ORz_I6EleTVmmBtYBPNsTjmdliXFH3c9AclJiEvkWiMI_WbF4HlfTodqer8Tv5t_T2ddZ3QtCLjHnvrlOfsFQ~~>
>>>
>>> Location
>>>
>>>    - 911 Partners Way
>>>    - Raleigh, North Carolina
>>>    - United States 27606
>>>    - Building: Engineering Building 1 (EB1)
>>>    - Room Number: 1007
>>>
>>> [image:
>>> Staticmap?size=250x200&sensor=false&zoom=14&markers=35.77161735%2c 78]
>>> <http://www.mmsend10.com/link.cfm?r=eT7i3nDxhWXAlUJzibppCA~~&pe=pt7_cviwL6neYN2UjICEBrcZ5DfQzto85OzK1_0DTPEc3NqFltgNYOd8UVoCB15NGU-MzS58ZOUDqSCx9nGiaw~~>
>>> Contact
>>>
>>>    - Email event contact <maheshba at ieee.org>
>>>    -
>>>
>>>    Mahesh Balasubramaniam
>>>
>>>    maheshba at ieee.org
>>>
>>> Registration
>>>
>>>    - No Admission Charge
>>>    - Starts *02 September 2018 09:00 PM*
>>>    - Ends *05 November 2018 07:00 PM*
>>>    - All times are US/Eastern
>>>
>>>
>>>    - Register Now
>>>    <http://www.mmsend10.com/link.cfm?r=eT7i3nDxhWXAlUJzibppCA~~&pe=sbNebRLb8JmOzYfMy4g3iulxWB1bpzFEbIQycQG-IYqUFSYnF4ad8bFO423IO5OTxGs7-WhT31Cy0b0u7avWiQ~~>
>>>
>>>
>>>
>>>
>>> Agenda
>>>
>>> 6:30-7:00pm Networking with pizza and soda
>>>
>>> The times below are approximate and are given just as a guideline:
>>>
>>> 7:00-7:05pm News and announcements
>>>
>>> 7:05-7:40pm *Survey of Machine Learning and Applications *
>>>
>>> 7:40-8:20pm *Robot Operating System(ROS) - Architecture basics with
>>> simulation examples*
>>>
>>> 8:20-8:30pm Brief Q/A from IEEE students, hobbyists, professionals and
>>> seniors
>>>
>>> ------------------------------
>>> Eastern North Carolina Sec Chap,RA24 :
>>> ------------------------------
>>> Manage your IEEE Communications Preferences
>>> <http://www.mmsend10.com/link.cfm?r=eT7i3nDxhWXAlUJzibppCA~~&pe=RbSum3p3k4sWHXsMac7KH0LX3yC6BEfpM9zGkUddX9fSLiPWU7S0obuLHrzr9pjY31XS8gJe4HbTPKk114on9w~~>
>>>
>>> _______________________________________________
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>>
>> --
>> Best regards,  Mike
>>
>

-- 
Best regards,  Mike
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