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CTN's 2022 and 2023 Retrospective and Predictions | IEEE Communications Society

As it is now tradition at CTN we are venturing into the world of the magic 8 ball to see if the famous fortune teller toy can help us predict some of the communications trends that will see increased attention or become reality in 2023. We have also tried to score ourselves on our 2022 predictions, and to an extent created other predictions while at it. As we tried to come up with this year’s set we struggled, we could have taken the easy way out and just predict the obvious or we could have taken a less traveled path and predict obscure technologies, trends or events. In the end we simply decided to let each member choose, so perhaps in the reader’s mind this is an amalgamation of magic ball predictions, obscure paths and some well-traveled ideas. The fun part is to see how all of this plays out as the field of communications is full of exciting academic and industrial technologies that will continue to evolve to pave the way for better communications systems. We look forward to 2 ....

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BBCNEWS Click June 4, 2024 02:50:00

Of a! that looks for the noises that leaks make, but also filters out the other noises that leaks don t make. neil and his team place these sensors under a drain cover overnight. it s now time to retrieve them. what s the next stage in that process? so, basically, we use the app now. so, basically this little device is bluetooth. bluetooth to the phone, and the phone then talks to the cloud, and all the analysis is done in the cloud. the graph tells you that consistent noise, firstly, and then a! has said ok, i have taken that noise, i ve recognised it, and it is a small leak. hissing noise. oh, wow! so, that is the actual sound of a leak? right now on the system. so, it is a live capture, effectively, so you can go ok, yeah, i agree with the ai it is a leak . these are the audio signals we have recorded and it is the status of the leak we have detected. this part of the process is called cloud correlation. it s been developed by professor muhammad zeeshan shakir at the universi ....

Don T Make , The Cloud , Uai It , Hissing Noise , Muhammad Zeeshan Shakir , Cloud Correlation , Audio Signals , University Of The West Scotland ,

BBCNEWS Click June 4, 2024 03:50:00

Neil and his team place these sensors under a drain cover overnight. what s the next stage in that process? so, basically, we use the app now. so, this little device is bluetooth, bluetooth talks to the phone, and the phone then talks to the cloud, and all the analysis is done in the cloud. the graph tells you that consistent noise, firstly, and then a! has said ok, i have taken that noise, recognised it, and it is a small leak. hisses oh, wow! so, that is the actual sound of a leak? right now on the system. so, it is a live capture, effectively, so you can go ok, yeah, i agree with the ai it is a leak . these are the audio signals we have recorded and it is the status of the leak we have detected. this part of the process is called cloud correlation. it s been developed by professor muhammad zeeshan shakir at the university of the west of scotland. when you have the audio files stored in the cloud, they would extract this features out of it and try ....

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