Tuesday, 21 April 2020

Five UCLA Engineering Students Receive 2020 NSF Graduate Fellowships

Five UCLA Samueli engineering students — two graduate and three undergraduate students pursuing an advanced degree — have received the prestigious 2020 Graduate Research Fellowship from the National Science Foundation. The recipients are John Brewer, Richa Ghosh, Jamie Leonard, William Schmidt and Alexander computer science or computer engineering. The three-year fellowship program commends “outstanding graduate students in NSF-supported science, technology, engineering and mathematics disciplines who are pursuing research-based master’s and doctoral degrees at accredited United States institutions.” Recipients receive an annual stipend of $34,000 along with $12,000 designated for tuition and fees.

Monday, 20 April 2020

Australia to make Google and Facebook pay for news content

Global digital platforms Google and Facebook will be forced to pay for news content in Australia, the government said on Monday as the coronavirus pandemic causes a collapse in advertising revenue. Global digital platforms Google and Facebook will be forced to pay for news content in Australia, the government said on Monday as the coronavirus pandemic causes a collapse in advertising revenue.

Treasurer Josh Frydenberg said the Australian Competition and Consumer Commission would release in late July draft rules for the platforms to pay fair compensation for the journalistic content siphoned from news media. Frydenberg said he believed that Australia could succeed where other countries, including France and Spain, had failed in making Google and Facebook pay.

We're very conscious of the challenges and complexity of ensuring a mandatory code. Many other countries have tried it without much success," Frydenberg told Australian Broadcasting Corp. "We think we can be world-leading."

"We do want the rules of the digital world to reflect as much as possible the rules of the physical world," he added. The what do computer engineers do had attempted to negotiate a voluntary code by which the global giants would agree to pay traditional media for their content.

Friday, 17 April 2020

‘SVG Virtual Series’ Looks to Fill Information, Networking Need During Time of Crisis

Sports Video Group’s events will be making the move to virtual operations as the association and its leadership look to fulfill our mission of information exchange, learning, and networking, as live sports production leaders look to safely, resume operations in the weeks and months ahead.

The first episode in this expansive, new series begins today with the SVG Chairman’s Technology in Action Series (as always, open to members, Platinum, and Event Sponsors only) which replicates one of SVG’s most popular yearly events. Future virtual series offerings will cover computer science average salary, At Home Production, College Sports, Venue Operations, and Audio (full schedule below).

“Our new, virtual event calendar provides our members and sponsors with content designed to increase communications and collaboration during this critical period,” says Ken Kerschbaumer, SVG, editorial services director. “Informative interviews, panel discussions, cases studies, and even networking via dedicated LinkedIn Groups for each event will bring together sports production professionals from around the globe.”

Thursday, 16 April 2020

New silicon chip ‘fingerprint’ for stronger hardware security at low cost

A team of researchers from NUS Electrical and Computer Engineering has developed a novel technique that allows Physically Unclonable Functions (PUFs) to produce more secure, unique ‘fingerprint’ outputs at a very low cost. This achievement elevates the level of hardware security even in low-end systems on chips.
Traditionally, PUFs are embedded in several commercial chips to uniquely distinguish one silicon chip from another by generating a secret key, similar to an individual fingerprint. Such a technology prevents hardware piracy, chip counterfeiting and physical attacks.
The research team from NUS has taken silicon chip fingerprinting to the next level with two significant improvements: firstly, making what is the difference between computer science and computer engineering; and secondly, enabling them to self-conceal.

Wednesday, 15 April 2020

THE TRIBECA TRIB FEATURED SEIDENBERG SCHOOL OF COMPUTER SCIENCE PROFESSOR RICHARD KLINE IN "THE CORONAVIRUS CRISIS IN THE COMMUNITY

The Tribeca Trib featured Seidenberg School of Computer Science Professor Richard Kline in "The Coronavirus Crisis in the Community: Daily Downtown Updates"

With technical know-how and a computer engineer vs computer science, Pace University Professor Richard Kline, shown at right, is helping to protect healthcare workers during the COVA-19 crisis. Kline, a professor in the Seidenberg School of Computer Science and Information Systems, joined the volunteer group NYCMakesPPE and took on the task of printing a face shield frame design they were working on. Kline so far has printed and shipped 60 frames, onto which other volunteers will attach the plastic shields they are making, and then distribute them. “It’s gratifying to have found something concrete I can do to help out in a small way during these troubling times,” the professor said in a statement.

Tuesday, 14 April 2020

Researchers Develop New Way to Increase Energy Efficiency of Smart Computers

Researchers from the Cockrell School of Engineering at The University of Texas at Austin have discovered a new way to increase the energy efficiency of smart computers. This comes during a time when there is an increased need for energy in order to process massive amounts of data, a result of newly developed technology. 

Silicon chips are normally used to build the infrastructure that powers computers, but the newly developed system relies on magnetic components instead of silicon. The silicon chips are beginning to reach their limitations, due to things like artificial intelligence, self-driving cars, and 5G and 6G phones. New applications require faster speeds, reduced latency, and light detection, all requiring increased energy. Because of this, alternatives to silicone are being looked at. 

By studying the physics of the magnetic components, the researchers found new information about how energy costs can be decreased. They also discovered ways to decrease the requirements of training algorithms, which are neural networks capable of what can you do with a computer science degree patterns and images. 

Jean Anne Incorvia is an assistant professor in the Cockrell School’s Department of Electrical and Computer Engineering. 

“Right now, the methods for training your neural networks are very energy-intensive,” said Jean Anne Incorvia. “What our work can do is help reduce the training effort and energy costs.”

Monday, 13 April 2020

An Engineer’s Introduction to Mechanical Ventilation

In this article, we’ll examine the basic operation of a ventilator in the terminology of control systems, sensors, and microcontrollers. Then, we’ll examine the block diagram of a basic ventilator in greater detail. Please note that this article is intended to explore the design of ventilators from a high level and does not represent a medical explanation of ventilator use and operation.


What Is a Ventilator?

A ventilator is a computer science engineer salary where the output is a flow of oxygen-enriched air with certain specifications. A mechanical ventilator is a machine that assists a patient's breathing during surgery or in situations where they cannot breathe on their own due to a critical illness.

A ventilator is a relatively complex system that employs several valves and sensors along with a processing unit to implement the required control algorithms.



Basic Operation of a Ventilator
A typical ventilator system consists of three main sub-systems:


  • The “Inspiratory Flow Delivery System” is responsible for generating and manipulating the oxygen-enriched air that is sent into the patient’s lungs.
  • The “Expiratory Path” that provides an appropriate path for the exhalation.
  • A microcontroller (MCU) is used to control the operation of the whole system based on the information obtained from different sensors and the parameters that the clinician specifies.