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'Incredible' 2,000-year-old Roman road discovered in London



Archaeologists have discovered a "remarkable" section of one of Britain's most important Roman roads in southeast London.




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The compound creatine, a popular exercise supplement that only occurs naturally in animal products, could one day be produced in edible plants




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Mark Cuban runs to 'less hateful' social media platform after scrubbing X account of Harris support

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Microsoft to acquire LinkedIn

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Wireless Signals That Predict Flash Floods



Like many innovators, Hagit Messer-Yaron had a life-changing idea while doing something mundane: Talking with a colleague over a cup of coffee. The IEEE Life Fellow, who in 2006 was head of Tel Aviv University’s Porter School of Environmental Studies, was at the school’s cafeteria with a meteorological researcher. He shared his struggles with finding high-resolution weather data for his climate models, which are used to forecast and track flash floods.

Predicting floods is crucial for quickly evacuating residents in affected areas and protecting homes and businesses against damage.

Hagit Messer-Yaron


Employer Tel Aviv University

Title Professor emerita

Member grade Life Fellow

Alma mater Tel Aviv University

Her colleague “said researchers in the field had limited measurements because the equipment meteorologists used to collect weather data—including radar satellites—is expensive to purchase and maintain, especially in developing countries,” Messer-Yaron says.

Because of that, she says, high-resolution data about temperature, air quality, wind speed, and precipitation levels is often inconsistent—which is a problem when trying to produce accurate models and predictions.

An expert in signal processing and cellular communication, Messer-Yaron came up with the idea of using existing wireless communication signals to collect weather data, as communication networks are spread across the globe.

In 2006 she and her research team developed algorithms that process and analyze data collected by communication networks to monitor rainfall. They measure the difference in amplitude of the signals transmitted and received by the systems to extract data needed to predict flash floods.

The method was first demonstrated in Israel. Messer-Yaron is working to integrate it into communication networks worldwide.

For her work, she received this year’s IEEE Medal for Environmental and Safety Technologies for “contributions to sensing of the environment using wireless communication networks.” The award is sponsored by Toyota.

“Receiving an IEEE medal, which is the highest-level award you can get within the organization, was really a surprise, and I was extremely happy to [receive] it,” she says. “I was proud that IEEE was able to evaluate and see the potential in our technology for public good and to reward it.”

A passion for teaching

Growing up in Israel, Messer-Yaron was interested in art, literature, and science. When it came time to choose a career, she found it difficult to decide, she says. Ultimately, she chose electrical engineering, figuring it would be easier to enjoy art and literature as hobbies.

After completing her mandatory service in the Israel Defense Forces in 1973, she began her undergraduate studies at Tel Aviv University, where she found her passion: Signal processing.

“Electrical engineering is a very broad topic,” she says. “As an undergrad, you learn all the parts that make up electrical engineering, including applied physics and applied mathematics. I really enjoyed applied mathematics and soon discovered signal processing. I found it quite amazing how, by using algorithms, you can direct signals to extract information.”

She graduated with a bachelor’s degree in EE in 1977 and continued her education there, earning master’s and doctoral degrees in 1979 and 1984. She moved to the United States for a postdoctoral position at Yale. There she worked with IEEE Life Fellow Peter Schultheiss, who was known for his research in using sensor array systems in underwater acoustics.

Inspired by Schultheiss’s passion for teaching, Messer-Yaron decided to pursue a career in academia. She was hired by Tel Aviv University as an electrical engineering professor in 1986. She was the first woman in Israel to become a full professor in the subject.

“Being a faculty member at a public university is the best job you can do. I didn’t make a lot of money, but at the end of each day, I looked back at what I did [with pride].”

For the next 14 years, she conducted research in statistical signal processing, time-delay estimation, and sensor array processing.

Her passion for teaching took her around the world as a visiting professor at Yale, the New Jersey Institute of Technology, the Institut Polytechnique de Paris, and other schools. She collaborated with colleagues from the universities on research projects.

In 1999 she was promoted to director of Tel Aviv University’s undergraduate electrical engineering program.

A year later, she was offered an opportunity she couldn’t refuse: Serving as chief scientist for the Israeli Ministry of Science, Culture, and Sports. She took a sabbatical from teaching and for the next three years oversaw the country’s science policy.

“I believe [working in the public sector] is part of our duty as faculty members, especially in public universities, because that makes you a public intellectual,” she says. “Working for the government gave me a broad view of many things that you don’t see as a professor, even in a large university.”

When she returned to the university in 2004, Messer-Yaron was appointed as the director of the new school of environmental studies. She oversaw the allocation of research funding and spoke with researchers individually to better understand their needs. After having coffee with one researcher, she realized there was a need to develop better weather-monitoring technology.

Hagit Messer-Yaron proudly displays her IEEE Medal for Environmental and Safety Technologies at this year’s IEEE Honors Ceremony. She is accompanied by IEEE President-Elect Kathleen Kramer and IEEE President Tom Couglin.Robb Cohen

Using signal processing to monitor weather

Because the planet is warming, the risk of flash floods is steadily increasing. Warmer air holds more water—which leads to heavier-than-usual rainfall and results in more flooding, according to the U.S. Environmental Protection Agency.

Data about rainfall is typically collected by satellite radar and ground-based rain gauges. However, radar images don’t provide researchers with precise readings of what’s happening on the ground, according to an Ensia article. Rain gauges are accurate but provide data from small areas only.

So Messer-Yaron set her sights on developing technology that connects to cellular networks close to the ground to provide more accurate measurements, she says. Using existing infrastructure eliminates the need to build new weather radars and weather stations.

Communication systems automatically record the transmitted signal level and the received signal level, but rain can alter otherwise smooth wave patterns. By measuring the difference in the amplitude, meteorologists could extract the data necessary to track rainfall using the signal processing algorithms.

In 2005 Messer-Yaron and her group successfully tested the technology. The following year, their “Environmental Monitoring by Wireless Communication Networks” paper was published in Science.

The algorithm is being used in Israel in partnership with all three of the country’s major cellular service providers. Messer-Yaron acknowledges, however, that negotiating deals with cellular service companies in other countries has been difficult.

To expand the technology’s use worldwide, Messer-Yaron launched a research network through the European Cooperation in Science and Technology (COST), called an opportunistic precipitation sensing network known as OPENSENSE. The group connects researchers, meteorologists, and other experts around the world to collaborate on integrating the technology in members’ communities.

Monitoring the effects of climate change

Since developing the technology, Messer-Yaron has held a number of jobs including president of the Open University of Israel and vice chair of the country’s Council for Higher Education, which accredits academic institutions.

She is maintaining her link with Tel Aviv University today as a professor emerita.

“Being a faculty member at a public university is the best job you can do,” she says. “I didn’t make a lot of money, but at the end of each day, I looked back at what I did [with pride]. Because of the academic freedom and the autonomy I had, I was able to do many things in addition to teaching, including research.”

To continue her work in developing technology to monitor weather events, in 2016, she helped found ClimaCell, now Tomorrow.io, based in Boston. The startup aims to use wireless communication infrastructure and IoT devices to collect real-time weather data. Messer-Yaron served as its chief scientist until 2017.

She continues to update the original algorithms with her students, most recently with machine learning capabilities to extract data from physical measurements of the signal level in communication networks.

A global engineering community

When Messer-Yaron was an undergraduate student, she joined IEEE at the suggestion of one of her professors.

“I didn’t think much about the benefits of being a member until I became a graduate student,” she says. “I started attending conferences and publishing papers in IEEE journals, and the organization became my professional community.”

She is an active volunteer and a member of the IEEE Signal Processing Society. From 1994 to 2010 she served on the society’s Signal Processing Theory and Methods technical committee. She was associate editor of IEEE Signal Processing Letters and IEEE Transactions on Signal Processing. She is a member of the editorial boards of the IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Signal Processing.

In the past 10 years, she’s been involved with other IEEE committees including the conduct review, ethics and member conduct, and global public policy bodies.

“I don’t see my career or my professional life without the IEEE,” she says





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Everything You Need for a Salon Pedicure at Home

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Fujifilm is developing a 102MP medium format cinema camera

Fujifilm is developing a medium-format, 102-megapixel cinema camera, the company said in a surprise announcement. Due next year, the GFX Eterna will carry a boxy, modular design reminiscent of Sony's FX6 or the new Blackmagic Pyxis and will likely be launched with a top handle, electronic viewfinder and other optional accessories.

The new camera will have a medium format GFX 102-megapixel (MP) CMOS II HS sensor, the same one used on the GFX100 II. That sensor is 43.8mm x 32.9 mm in size, or 1.7 times larger than the full-frame sensor found on the aforementioned FX or Pyxis. That will be one of the largest cinema camera sensors available, even bigger than RED's V-Raptor XL sensor.

The benefits will be extra dynamic range, potentially high resolution and a very shallow depth of field that should allow for cinematic shots when paired with the right lens. That does bring up the fact that Fujifilm currently has no GFX glass designed specifically for film production. However, the company said it's developing a 32-90mm power zoom lens (24-70mm full-frame equivalent) and will have a mount adapter for GFX to PL lenses, which are widely used in cinema. 

One other concern might be rolling shutter distortion. RED's V-Raptor XL uses a global shutter that has zero distortion, but the sensor Fujifilm will employ has a fair bit of it . In addition, the GFX100 II captures 8K with a 1.53x crop, negating many of the benefits of a medium format sensor — so, hopefully Fujifilm will resolve those issues with its cinema camera. 

Fujifilm will show off the GFX Eterna starting tomorrow at the InterBEE 2024 media exhibition in Chiba City, Japan. It's set to be released sometime in 2025, with an exact date and pricing yet to be announced.

This article originally appeared on Engadget at https://www.engadget.com/cameras/fujifilm-is-developing-a-102mp-medium-format-cinema-camera-130027537.html?src=rss




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Channel 4 is the first UK broadcaster to take this step. The app leverages the tech inside the headset to overlay streaming content on the real world, which allows for a “full-screen viewing experience” of stuff like The Great British Bake Off and Taskmaster, in addition to multi-screen view.

Speaking of Taskmaster, the broadcaster also announced an environment based on the comedy game show. Environments on the AVP transform the world around the user, so people can watch Taskmaster while sitting in a room inspired by Taskmaster (cue that Xzibit Yo Dawg meme.) Other streaming apps have their own environments. Paramount+ offers one based on SpongeBob Squarepants and Disney+ now includes one set in Iceland.

This app doesn’t feature access to the recently-released Taskmaster VR experience. That one’s still tied to Steam VR and Meta Quest. By most accounts, it’s a pretty bad game, so the Vision Pro isn’t missing much.

This article originally appeared on Engadget at https://www.engadget.com/ar-vr/channel-4-in-the-uk-now-has-a-dedicated-app-for-apple-vision-pro-200027166.html?src=rss




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