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Ranked 7th in the world in the QS World University Rankings® 2022, Imperial College London is a one-of-a-kind institution in the UK, focusing solely on science, engineering, medicine and business. Imperial offers an education that is research-led, exposing you to real world challenges with no easy answers, teaching that opens everything up to question and opportunities to work across multi-cultural, multi-national teams.
Imperial is based in South Kensington in London, in an area known as ‘Albertopolis’, Prince Albert and Sir Henry Cole’s 19th century vision for an area where science and the arts would come together. As a result, Imperial’s neighbours include a number of world leading cultural organizations including the Science, Natural History and Victoria and Albert museums; buy fake diploma, buy fake degree, buy fake degree certificate. the Royal Colleges of Art and Music; and the Royal Albert Hall, where all of their students also graduate.
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One of the most distinctive elements of an Imperial education is that students join a community of world-class researchers. The cutting edge and globally influential nature of this research is what Imperial is best known for. It’s the focus on the practical application of their research – particularly in addressing global challenges – and the high level of interdisciplinary collaboration that makes their research so effective. Read more about their research impact on their research and innovation webpages.
The number of award winners, Nobel Prize holders and prestigious Fellowships (Royal Society, Royal Academy of Engineering, Academy of Medical Sciences) amongst their staff is a testament to the outstanding contributions they have made in their respective fields.
Imperial is one of the most international universities in the world, with 59% of its student body in 2019-20 being non-UK citizens and more than 140 countries are currently represented on campus. Meanwhile, the College’s staff, like their students, are diverse in their cultural backgrounds, nationalities and experiences.
Cheap, reliable audio recorders developed at Imperial have been used to reliably identify birds by their songs in a large trial in Norwegian forests.
The researchers are exploring whether we can build up an accurate picture of the makeup of life in forests and other ecosystems using such audio devices, recording continuously.
The trial used 41 audio loggers across Norway and showed that these can identify 22 bird species with 100% accuracy from their songs, and a further 10 with more than 70% accuracy.
The audio logging system, called Bugg, comprises physical audio recorders that continuously record sound and upload it to a cloud service via mobile SIM cards. Artificial intelligence in the cloud then analyses the sound recordings in real time to extract individual bird songs and identify the species, as well as analysing the soundscape as a whole.
Analysing soundscapes in this way can make monitoring of life in the forest more cost-effective and produce better measurements of ecological status, providing a more comprehensive picture of the state of nature.
A prototype version of Bugg was tested in 2019 in the SAFE project in Borneo, where it tracked the soundscapes of forests with different degrees of disruption by logging. Since then, the team have been improving the hardware and software to make a more robust and reliable version, and the tests in Norway represent the first successful deployment of the technology at scale.
Dr Sarab Sethi, who led the development of Bugg while at the Department of Mathematics at Imperial, said: “By placing audio loggers from the top to the bottom of Norway – at a range of altitudes and latitudes – we can get data across a gradient of environments. With continued data gathering, we can start to answer larger questions – such as how climate change is affecting these ecosystems.”
The Bugg team collaborated with NINA, a research institute working for the Norwegian Environment Agency, to trial the Bugg system. From 41 audio loggers, they recorded nearly 60,000 hours of data.
The bird songs were identified using the BirdNET model and checked by a Norwegian ornithologist. As well as identifying individual bird species, the results also show that analysing soundscapes can characterise differences between forest and semi-natural land, as well as differences throughout a season.
The team also created a Twitter bot that tweets the live sounds of birds across the Norway monitoring project. Each tweet also has a poll in the response asking people to verify whether the automatically identified bird was actually correct. The team hope that with enough of this data they will be able to improve their models going forward.