You Don’t Know What You Don’t Know

Posted by Otmar Foehner on Sep 4, 2019 5:00:00 AM

My day job for the past 30 years has been helping people with their sensor data. In my time off I tinker with and build PCs, try my hand at some home improvement projects and stay on top of new technology developments through the consumption of copious amounts of online tech news website articles and YouTube videos. What I have learned—and keep being reminded of time and time again—is that there are plenty of things that I don’t know. And, that sometimes I’m not even aware of things that I don’t know. Let me explain.

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Topics: Engineering Data, Sensor Data, Sensor Data Management, data cleansing

Accelerating Big Data Analysis with TTI’s Data Cleansing Strategy

Posted by Dr. Fanqi Meng on Apr 23, 2019 12:08:38 PM

Traditionally, the data cleansing is defined as the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

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Topics: Sensor Data, Sensor Data Management, data cleansing

Electronic Sound Synthesis & Active Noise Cancellation in Automobiles

Posted by Patricia Friar on Apr 2, 2019 9:00:00 AM

Car & Driver's March 2019 issue includes an article on sound Active Noise Cancellation (ANC) and Electronic Sound Synthesis (ESS). With the September 2019 deadline looming for auto manufacturers to meet PEDESTRIAN SAFETY ENHANCEMENT ACT OF 2010 (PSEA), which governs EV & HEV sound emissions, there is opportunity for new automotive products that detect and emit sound at low speeds in these vehicles (< 18.6 mph). There is also the opportunity for the reverse, removing annoying sounds. Innovative sound creation and sound reduction systems are relying on sensor data to determine what sounds to synthesize and what sound to deaden.

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Topics: Sensor Data, Hybrid Cars, Electric Cars, ESS, ANC

Sneak Peek at NIWeek Sessions: Big Daddy of Big Data & Saving Millions of $ Managing Sensor Data

Posted by Patricia Friar on Feb 18, 2019 10:45:07 AM

National Instruments will be hosting their annual customer conference and partner showcase, NIWeek 2019, this year from May 20-23 at the Austin Convention Center. NIWeek draws engineers from across the transportation, aerospace, medical device industries and many others. There are also  a fair number of members of the academic community rounding out the crowd. It is a hub of activity for Viviota customers and partners and a busy time for our team. We were delighted to find out in January that Viviota will be presenting two of the conference technical sessions:

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Topics: Engineering Data, Big Data, Analytics, Sensor Data, NIWeek

What is Sensor Data and Why is it Changing the World of Innovation?

Posted by Barry Hutt on Jan 31, 2019 7:03:00 PM

"What we've got here is a failure to communicate." In the 1967 Paul Newman movie classic Cool Hand Luke, that memorable line is uttered by the character "Captain" (head of the chain gang) to justify beating Cool Hand Luke, played by Newman. Captain of Road Prison 36 has just told Luke that he is wearing chains for his good—to which the prisoner cleverly responds, "Wish you'd stop bein' so good to me, Cap'n." 

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Topics: Engineering Data, Sensor Data, Analog Data

Electric & Hybrid Vehicles Low Speed Alert Systems - Music to Our Ears?

Posted by Patricia Friar on Jan 24, 2019 6:59:00 PM

I was reminded yesterday of how cars play a role in our identity, and separately how new auto safety regulations for electric and hybrid vehicles create an opportunity for auto manufacturers to be creative. I was picking up my 2011 Kia Optima Hybrid from a car stereo retailer in Austin, and while I waited, I glanced at the stacks of sub woofers waiting for owners. They ranged in price from $149 to over $1000. Admittedly, my family has installed high-end stereos with sub-woofers in cars ranging from a 1992 5.0 Mustang GT to a Toyota Sienna mini-van, however a low-rider in the showroom brought to mind low-decibel vibrations at intersections when, by chance, I was sitting at a red light alongside a low-rider. The car and the sub-woofer are an expression of the driver and their identity.

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Topics: Autonomous Vehicles, ADAS, Hybrid Cars, Electric Cars

What Will Drive the Autonomous Vehicle Revolution? - How Today's Aircraft Automation Helps Self-Driving Cars of Tomorrow

Posted by Darren Schmidt on Dec 17, 2018 6:52:00 PM

The automotive industry is working toward a revolutionary event, a truly autonomous vehicle—one in which a human driver is no longer required. To accomplish this, automotive companies have focused R&D teams, whose mission is evolving and growing onboard automated safety systems. Today onboard safety systems include features such as airbags and anti-lock brakes. For autonomous driving to become a reality, more dynamic safety systems are needed, for example collision detection/avoidance, and smart cruise control with vehicle-controlled lane changing.

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Topics: Autonomous Vehicles, Sensor Data, aerospace, ADAS

What Will it Take for Fully Autonomous Vehicles to Become a Reality?

Posted by Dr. Fanqi Meng on Dec 4, 2018 6:43:00 PM

Self-driving cars offer a safe, efficient and cost-effective solution that will dramatically redefine the future of human mobility. 

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Topics: IIoT, Autonomous Vehicles, Sensor Data, Machine Learning, ADAS

How One Major Automotive Company Extracted More Knowledge from Test Data

Posted by Patricia Friar on Nov 10, 2017 6:06:00 PM

The emergence of smarter cars means automotive companies are looking for smarter ways to work. And they know getting there requires new efficiencies in their existing design and development processes.

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Topics: Engineering Data, Big Data, Analytics, IIoT, Sensors, automotive industry

OT Big Data Analytics & U.S. Grand Prix

Posted by Patricia Friar on Oct 24, 2017 2:22:00 PM

Whichever your team, Mercedes, Ferrari, Red Bull or one of the other elite F1 teams, the U.S. Grand Prix in Austin on Sunday was amazing to the end. Verstappen, of Red Bull, passed Raikkonen, of Ferrari, on the last lap. He would have had a podium position, third, but his pass was disqualified for leaving the track. Max Verstappen placed fourth by mere meters. Lewis Hamilton of Mercedes AMG placed first, Sabastian Vettel of Ferrari, second, and Kimi Raikkonen, third. Verstappen is showing himself to be a very talented young driver.

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Topics: Analytics, Sensors, F1, COTA, U.S. Grand Prix