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Current issue

ELEKTRO 7/2021 was released on October 1st 2021. Its digital version will be available on November 1st 2021.

Topic: Power engineering; Electricity quality; Renewable Energy

Main article
Local specifics of South-Bohemian region regarding usage of alternative fuel cars

SVĚTLO (Light) 4-5/2021 was released 9.17.2021. Its digital version will be available 9.17.2021.

Lighting installations
Lighting reconstruction of underpass and platforms of Ústí nad Orlicí railway station

Public lighting
The lighting of park at Episcopal Residence of Ostrava-Opava in Ostrava
Outdoor lighting systems and intrusive light
Generel of public lighting 9th part
Environmental viewpoint

A universal system for decoding any type of data sent across a network

13. 9. 2021 | MIT | www.mit.edu

Every piece of data that travels over the internet — from paragraphs in an email to 3D graphics in a virtual reality environment — can be altered by the noise it encounters along the way, such as electromagnetic interference from a microwave or Bluetooth device. The data are coded so that when they arrive at their destination, a decoding algorithm can undo the negative effects of that noise and retrieve the original data.

Since the 1950s, most error-correcting codes and decoding algorithms have been designed together. Each code had a structure that corresponded with a particular, highly complex decoding algorithm, which often required the use of dedicated hardware. Researchers at MIT, Boston University, and Maynooth University in Ireland have now created the first silicon chip that is able to decode any code, regardless of its structure, with maximum accuracy, using a universal decoding algorithm called Guessing Random Additive Noise Decoding (GRAND).

Data decoding

By eliminating the need for multiple, computationally complex decoders, GRAND enables increased efficiency that could have applications in augmented and virtual reality, gaming, 5G networks, and connected devices that rely on processing a high volume of data with minimal delay.

Read more at MIT

Image Credit: Jose-Luis Olivares, MIT

-jk-