WEBVTT

00:00.000 --> 00:08.800
So yes, so I present myself and Pierre Romant.

00:08.800 --> 00:13.000
I'm here for the first time to first them, so I'm really happy to share our work in the lab.

00:13.000 --> 00:15.000
I'm working in a lab.

00:15.000 --> 00:17.000
It's a mixed unit research.

00:17.000 --> 00:20.000
The name is Umra, it's about environmental acoustics.

00:20.000 --> 00:24.000
And it's mixed unit research, because we are between two institutes.

00:24.000 --> 00:26.000
University of Tel Aviv, and Serema.

00:26.000 --> 00:29.000
It presents you specifically one tool, which is noise milling,

00:29.000 --> 00:33.000
because I am the main facilitator of the tool and one of the main developer.

00:33.000 --> 00:37.000
But I also want to speak more generally about a pencil since the lab is a team,

00:37.000 --> 00:43.000
and also about all the ecosystem around this noise milling tool.

00:43.000 --> 00:48.000
So I know that acoustics, especially on the Romantan noise, is quite a niche subject,

00:48.000 --> 00:52.000
so I have two or three slides to speak about just on the Romantan noise, of course.

00:52.000 --> 00:56.000
So why are you now made in Europe?

00:56.000 --> 01:04.000
We consider that 20% of the people living in our area where noise levels are considered harmful to else,

01:04.000 --> 01:08.000
if we take the threshold of the world else organization.

01:08.000 --> 01:15.000
It's more or less 20 million of people declaring that they have high annoyance.

01:15.000 --> 01:20.000
The sleep disturbance is really high with 6 million people,

01:20.000 --> 01:26.000
that probably have sleep disturbance considering our models.

01:26.000 --> 01:32.000
And there is also directly increase air disease, for example, because it generates stress,

01:32.000 --> 01:36.000
problem when you sleep, and it generates air disease.

01:36.000 --> 01:42.000
It's more or less 50,000 air disease in Europe, directly linked to noise,

01:42.000 --> 01:46.000
and premature mortality and cognitive impairment in children.

01:46.000 --> 01:50.000
So this is as issue is now really well known,

01:50.000 --> 01:56.000
but also in the late 80s, the Fannerachet Kaplan popularized,

01:56.000 --> 01:59.000
the concept of attention restoration theory.

01:59.000 --> 02:03.000
Basically, they say that spending time in natural environment

02:03.000 --> 02:05.000
helps to restore depleted cognitive resources,

02:05.000 --> 02:09.000
and natural environment are not just silent places,

02:09.000 --> 02:15.000
it's also where natural science gap are important, and should be preserved.

02:15.000 --> 02:21.000
A last way to see the problem is noise is not only harmful for humans,

02:21.000 --> 02:22.000
but also for nature.

02:22.000 --> 02:26.000
It can make it harder for animal to communicate, find food, survive.

02:26.000 --> 02:30.000
So it's now really clear evidence that some births, for example,

02:30.000 --> 02:33.000
for the same species, if they live in the rural area,

02:33.000 --> 02:37.000
or if they live in the urban areas, they change the way to sing.

02:37.000 --> 02:43.000
They will sing maybe higher to go over the infrequency to have higher pitch

02:43.000 --> 02:47.000
and to go over the noise or traffic, or they sing louder,

02:47.000 --> 02:51.000
or they sing sooner before the traffic peak at the morning,

02:51.000 --> 02:53.000
or more frequently.

02:53.000 --> 02:56.000
So this is clear evidence for some species,

02:56.000 --> 03:00.000
and we have the same for a lot of different animals.

03:00.000 --> 03:05.000
So this was general idea about environmental noise issues,

03:06.000 --> 03:11.000
and of course, as researchers, we need tools and data to study this,

03:11.000 --> 03:17.000
and we need open tools and open data, because I mean, first of them, you know why.

03:17.000 --> 03:20.000
Okay.

03:20.000 --> 03:28.000
So in the lab, in the lab, we decide to take this a problem with the platform,

03:28.000 --> 03:31.000
now we call it a platform, which is a nice platform.

03:31.000 --> 03:35.000
It begins between a collaboration between two labs, one geometric lab,

03:35.000 --> 03:39.000
GIS expert, lab stick, and all our lab lab art acoustic,

03:39.000 --> 03:42.000
and one of the art acoustics, basically the idea to propose new tools,

03:42.000 --> 03:45.000
based on science features for environmental noise assessment.

03:45.000 --> 03:50.000
The idea behind was, public money, equal, public code, as we can see here,

03:50.000 --> 03:54.000
a lot in the first name, open science.

03:54.000 --> 03:57.000
And of course, black boxes, private software,

03:57.000 --> 04:01.000
to prevent efficient transparent property spill research.

04:01.000 --> 04:03.000
It begins in 2008.

04:03.000 --> 04:10.000
It was the first, the first funder of the platform, the idea I will say,

04:10.000 --> 04:15.000
and the two main guys, what is critical, because the acquisition director of the lab now,

04:15.000 --> 04:19.000
and one bushy on the right side, that was really forced, and still,

04:19.000 --> 04:20.000
really forced on to just.

04:20.000 --> 04:24.000
I say it was because he went a little bit away from the team,

04:24.000 --> 04:28.000
we'll come back about this, because he focused on climate change studies,

04:28.000 --> 04:30.000
but still really close to us.

04:30.000 --> 04:35.000
And they began to work together with this tool.

04:35.000 --> 04:39.000
We now have three tools, noise money, which is a software to do noise maps,

04:39.000 --> 04:43.000
noise capture, which is an Android application to do code sourcing,

04:43.000 --> 04:45.000
mobile measurements.

04:45.000 --> 04:48.000
And the last one now, it's only sensor, which is sensors,

04:48.000 --> 04:52.000
like fixed sensors, that you can put with hardware,

04:52.000 --> 04:56.000
hardware and the software part of the sensor.

04:56.000 --> 05:00.000
Basically, the organization of the noise planet,

05:00.000 --> 05:02.000
seeing I call it platform, because website,

05:02.000 --> 05:05.000
but it's a bit more than that.

05:05.000 --> 05:08.000
There is like official organization, which is inspired by

05:08.000 --> 05:11.000
foundation structure, because we had a foundation in certain universities,

05:11.000 --> 05:15.000
the idea is to have a chair inside and so on.

05:15.000 --> 05:18.000
But this foundation idea is a little bit in standby.

05:18.000 --> 05:23.000
The tools, when, finally, separately, they have separate funding,

05:23.000 --> 05:26.000
separate research projects and so on.

05:26.000 --> 05:30.000
But the devs are shared across a project, because inside the lab,

05:30.000 --> 05:32.000
we have two devs.

05:32.000 --> 05:34.000
The lab is more or less 50 people.

05:34.000 --> 05:39.000
And research and software engineer can work on one tool on the other one,

05:39.000 --> 05:40.000
independently.

05:40.000 --> 05:43.000
So now, we'll do a short focus on noise capture,

05:43.000 --> 05:47.000
which is one of these two main tools.

05:48.000 --> 05:51.000
So noise capture began in 2017, more or less.

05:51.000 --> 05:53.000
It's Android applications.

05:53.000 --> 05:57.000
The idea at the beginning was to dedicate this application for the expert.

05:57.000 --> 06:01.000
And why we did it is because in 2015, more or less,

06:01.000 --> 06:05.000
we began to see a lot of application to measure noise on the store.

06:05.000 --> 06:06.000
Android store.

06:06.000 --> 06:09.000
As a Christian, we were looking at the application on most of them,

06:09.000 --> 06:12.000
was really bad.

06:12.000 --> 06:18.000
I would say, they were not following the thumbnails in acoustics and so on.

06:18.000 --> 06:21.000
So we said, OK, we will do an application,

06:21.000 --> 06:23.000
following the thumbnails of measurements.

06:23.000 --> 06:25.000
We know that they're not going to be bad,

06:25.000 --> 06:32.000
because smartphone, I'm not calibrated outside of the industry.

06:32.000 --> 06:35.000
But still, we wanted to see what we'll happen with this.

06:35.000 --> 06:39.000
And I'll surprise that not only experts began to use the tool,

06:39.000 --> 06:42.000
but it was really used like code source platform,

06:42.000 --> 06:44.000
and a lot of people began to use it.

06:44.000 --> 06:48.000
We have now of more than 300,000 downloads,

06:48.000 --> 06:52.000
and a lot of trace and measurements around the world,

06:52.000 --> 06:54.000
what you can see here.

06:54.000 --> 06:58.000
And here it's the city in the world where we have more measurements,

06:58.000 --> 07:00.000
which is young in France,

07:00.000 --> 07:05.000
because we have really fanatic users in this place.

07:05.000 --> 07:09.000
And we begin to have like really nice maps.

07:09.000 --> 07:12.000
I saw that live demo was appreciated here,

07:12.000 --> 07:14.000
so I will just show you the platform.

07:14.000 --> 07:19.000
So this is the platform where you can see here's the last measurements

07:19.000 --> 07:23.000
that we have done today, for example, in Germany,

07:23.000 --> 07:26.000
oh, your little boy, and so on.

07:26.000 --> 07:29.000
And you can see here's the map past here.

07:29.000 --> 07:33.000
I saw sometimes that quiz was also appreciated here,

07:33.000 --> 07:37.000
so maybe you can try to find, what is this?

07:37.000 --> 07:40.000
Oh, on my screen is okay, but okay.

07:40.000 --> 07:44.000
What is this small, round, really silent area?

07:44.000 --> 07:46.000
Do you have any idea in the city?

07:46.000 --> 07:48.000
No.

07:48.000 --> 07:51.000
Yes, it's a cemetery here.

07:51.000 --> 07:56.000
So this is a silent place in this city.

07:56.000 --> 07:59.000
So that air, I really rough.

07:59.000 --> 08:01.000
They are not calibrated and so on.

08:01.000 --> 08:03.000
It's aggregated on the map.

08:03.000 --> 08:05.000
So we come do a lot just looking about it,

08:05.000 --> 08:07.000
but this is a topic of research for us.

08:07.000 --> 08:10.000
Some PhD has working out to have better quality

08:10.000 --> 08:14.000
that are out to qualify these data and so on and so on.

08:14.000 --> 08:18.000
The tool is not just like short source information.

08:18.000 --> 08:20.000
It's also raising an awareness about noise.

08:20.000 --> 08:21.000
We do some stuff.

08:21.000 --> 08:23.000
The name is noise capture parties.

08:23.000 --> 08:26.000
For example, you have a science festival, something like that.

08:26.000 --> 08:30.000
And you do a noise capture party just behind the side of this.

08:30.000 --> 08:33.000
In university also, this is Italian university.

08:33.000 --> 08:37.000
Each chair, they do a big noise capture party in the university.

08:37.000 --> 08:40.000
So this is the way to use the app.

08:40.000 --> 08:43.000
And lastly, the three or four last year,

08:43.000 --> 08:46.000
we had a project, the name was Sonorose.

08:46.000 --> 08:51.000
And the idea was not to use the app only just to measure 11 and put it in the platform

08:51.000 --> 08:53.000
but to go beyond.

08:53.000 --> 08:55.000
To go beyond.

08:55.000 --> 08:59.000
For example, to see if using the tool as a mediator for the city

08:59.000 --> 09:03.000
then can help them to empower themselves to speak about noise

09:03.000 --> 09:08.000
at the same levels that researchers and elected people.

09:08.000 --> 09:12.000
So we are all in the same room as 25 people,

09:12.000 --> 09:16.000
two of three researchers and two of three elected people.

09:16.000 --> 09:20.000
And the idea was to speak specifically about the airport close to the city

09:20.000 --> 09:24.000
and how we could find solution to raise awareness

09:24.000 --> 09:29.000
or to mitigate some, some, some, some singing and so on.

09:29.000 --> 09:33.000
So it's to explain that maybe it's a really technical tool at the beginning

09:33.000 --> 09:39.000
but the use of the tool is just not around the code

09:39.000 --> 09:41.000
and around the, it's more than that.

09:41.000 --> 09:46.000
It can be useful for research, social, social, and humanities,

09:46.000 --> 09:47.000
and social humanities.

09:47.000 --> 09:50.000
Now we are working in the next chapter two.

09:51.000 --> 09:55.000
So this is the next version of NOS Capture.

09:55.000 --> 09:59.000
I will try to keep it like this.

09:59.000 --> 10:03.000
It's already, it's already online.

10:03.000 --> 10:06.000
You can open to do some measurements.

10:06.000 --> 10:08.000
You have the spectrogram.

10:08.000 --> 10:10.000
And so on.

10:10.000 --> 10:13.000
So if you want to see it, this is on the GitHub platform

10:13.000 --> 10:15.000
so you have to search it a little bit.

10:15.000 --> 10:17.000
But the Android application NOS Capture,

10:17.000 --> 10:20.000
you can download it on the Android store really fast.

10:20.000 --> 10:23.000
I guess it will be releasing during the year,

10:23.000 --> 10:26.000
but we are not totally sure.

10:26.000 --> 10:30.000
And then you have a noise modeling.

10:30.000 --> 10:32.000
So I will try to go fast,

10:32.000 --> 10:35.000
but to speak a little bit about noise modeling.

10:35.000 --> 10:38.000
So the idea is to do noise map for a road range industry

10:38.000 --> 10:42.000
or noise sources at local and national scale.

10:42.000 --> 10:44.000
We implement a method, the name of the method,

10:44.000 --> 10:46.000
this Knossos EU method.

10:46.000 --> 10:49.000
In fact, it's a standard that all European cities

10:49.000 --> 10:52.000
of more than 100,000 inhabitants in Europe

10:52.000 --> 10:54.000
and last transport, in fact, you have a noise map.

10:54.000 --> 10:56.000
If you look inside your country, if you are European,

10:56.000 --> 10:59.000
you are looking inside your country,

10:59.000 --> 11:02.000
that the base, you should find these noise maps.

11:02.000 --> 11:05.000
It takes some inputs like buildings and roads,

11:05.000 --> 11:09.000
all what you can find in open street map, for example.

11:09.000 --> 11:13.000
And thanks to the information about the flow rate of the vehicle

11:13.000 --> 11:15.000
and the percentage of EV and live vehicle,

11:15.000 --> 11:17.000
and seeing like that in the speed,

11:17.000 --> 11:20.000
then we can have a noise emission level,

11:20.000 --> 11:22.000
and we have a pass finder algorithm,

11:22.000 --> 11:25.000
that finds the shortest pass between the source and the receiver,

11:25.000 --> 11:26.000
considering the building,

11:26.000 --> 11:29.000
then we apply some basic physical laws

11:29.000 --> 11:32.000
to have what is a sound level at the receiver place.

11:32.000 --> 11:35.000
And finally, have these nice noise maps.

11:35.000 --> 11:38.000
We began this tool in 2010 already,

11:38.000 --> 11:40.000
it's Java library with the same problems

11:40.000 --> 11:44.000
that the Sinky was calling on this moment was popular

11:44.000 --> 11:47.000
and our Python is much better, but yes.

11:47.000 --> 11:50.000
We are stick with Java and Groovy.

11:50.000 --> 11:54.000
We have connection with Portuguese and H2G databases,

11:54.000 --> 11:57.000
and it's GitHub distributed, you can see here's a GitHub pages.

11:57.000 --> 12:00.000
We have a graphical user interface, which is really ugly,

12:00.000 --> 12:03.000
but sufficient to work with students,

12:03.000 --> 12:06.000
but most of advanced users, of course, use scripts

12:06.000 --> 12:08.000
and stuff like that, much faster.

12:08.000 --> 12:10.000
Website, of course, documentation.

12:10.000 --> 12:13.000
We also use did the publication, the JOS,

12:13.000 --> 12:16.000
which is on the review, but yeah.

12:16.000 --> 12:19.000
I hope it will be okay.

12:19.000 --> 12:23.000
Because we did the update publication about the tool.

12:23.000 --> 12:26.000
And why research needed it, because at this moment,

12:26.000 --> 12:28.000
because it's mandatory in Europe,

12:28.000 --> 12:30.000
a lot of private company began to do their tools,

12:30.000 --> 12:31.000
it's a software.

12:31.000 --> 12:34.000
But for us as research, we could improve,

12:34.000 --> 12:37.000
it was not possible to improve a little bit the acoustic model,

12:37.000 --> 12:39.000
to do some specific chain and so on.

12:39.000 --> 12:41.000
So I will show you just two of us, for example.

12:41.000 --> 12:43.000
This one is a huge chain.

12:43.000 --> 12:46.000
On the left part, a POS seems to me very much

12:46.000 --> 12:48.000
and it's transportation and adjorn based model.

12:48.000 --> 12:50.000
Basically, if you know the game,

12:50.000 --> 12:52.000
it seems to be a city skyline,

12:52.000 --> 12:54.000
it seems to be this kind of thing,

12:54.000 --> 12:56.000
but with real data behind.

12:56.000 --> 13:00.000
And then we can connect this with air pollution

13:00.000 --> 13:03.000
on noise pollution model as noise modelling.

13:03.000 --> 13:06.000
To finally know every 15 minutes,

13:06.000 --> 13:08.000
where are the people in the city,

13:08.000 --> 13:09.000
and which air pollution,

13:09.000 --> 13:12.000
which noise pollution they receive in this place.

13:12.000 --> 13:14.000
So we can follow someone in the city

13:14.000 --> 13:18.000
and to know where are the critical area

13:18.000 --> 13:22.000
in terms of both in population and noise level.

13:22.000 --> 13:27.000
Also, we did some thing about tsunami warning system.

13:27.000 --> 13:29.000
We have a nylon and on this island,

13:29.000 --> 13:31.000
you want to find the best localization

13:31.000 --> 13:35.000
or deterioration or deterioration of siren, if you have a tsunami.

13:35.000 --> 13:37.000
So basically, it's a genetic algorithm.

13:37.000 --> 13:42.000
It gives all these kind of possibilities of configuration of sirens.

13:42.000 --> 13:45.000
So of course, it's not like to replace the Xperpsiren location,

13:45.000 --> 13:48.000
which is black dots, was the idea of the Xperps.

13:48.000 --> 13:50.000
But to propose some other possibilities,

13:50.000 --> 13:52.000
that maybe it can open their mind and say,

13:52.000 --> 13:54.000
okay, maybe this location was a good idea.

13:54.000 --> 13:56.000
And so on.

13:56.000 --> 13:58.000
Also, in our team,

13:58.000 --> 14:01.000
we are really close to the French government for historical reason.

14:01.000 --> 14:03.000
And because we,

14:03.000 --> 14:05.000
friends asked to do noise morphology and fracture,

14:05.000 --> 14:08.000
we began to build a full infrastructure

14:08.000 --> 14:11.000
compute automatically all the noise maps in friends.

14:11.000 --> 14:15.000
So this is the noise map we did in 2022,

14:15.000 --> 14:19.000
and now we are doing the one for 2021.

14:19.000 --> 14:21.000
And you will see after it's important for us,

14:21.000 --> 14:23.000
because part of the found,

14:23.000 --> 14:24.000
we have found noise,

14:24.000 --> 14:26.000
directly come from this.

14:26.000 --> 14:27.000
The,

14:27.000 --> 14:30.000
the, the, the money that saved the French government

14:30.000 --> 14:33.000
because they, they save because they are using us,

14:33.000 --> 14:36.000
we have a little bit a little part of this money

14:36.000 --> 14:37.000
directly like,

14:37.000 --> 14:39.000
from the, the tool.

14:39.000 --> 14:40.000
So there is also users.

14:40.000 --> 14:43.000
Mostly we, we are amends the universities

14:43.000 --> 14:46.000
because these people that need less support

14:46.000 --> 14:48.000
that classical users and we don't,

14:48.000 --> 14:51.000
we are not enough to, to provide support.

14:51.000 --> 14:54.120
But we are a pin-out because, basically,

14:54.120 --> 14:57.840
acquisitions in universities, I know about the tools.

14:57.840 --> 14:59.640
But also some private company are using it.

14:59.640 --> 15:00.880
Some people can teach it.

15:00.880 --> 15:02.560
And we have now a kudji's plugin,

15:02.560 --> 15:05.320
because a Japanese researcher, this is plugin.

15:05.320 --> 15:08.760
It's not perfect, but it's it's working.

15:08.760 --> 15:11.120
We do every year's a nice morning day,

15:11.120 --> 15:13.120
which is one of two days.

15:13.120 --> 15:17.680
Ebrid online offline, depends of the year.

15:17.680 --> 15:22.800
Speaking just about the noise modelling advances

15:22.800 --> 15:27.440
and what's a user have doing with the tool, basically.

15:27.440 --> 15:29.680
And this is organization now.

15:29.680 --> 15:31.840
We have this noise modelling day one time a year.

15:31.840 --> 15:34.080
And the most important level of the organization

15:34.080 --> 15:37.840
is a technical community plus.

15:37.840 --> 15:39.280
Because noise modelling layer is more

15:39.280 --> 15:42.400
less 100 people coming here.

15:42.400 --> 15:45.200
And the technical community is a 20 people more active

15:45.200 --> 15:46.680
on the platform.

15:46.680 --> 15:50.560
Most of them are user, more than the developer, but active.

15:50.560 --> 15:53.200
And it's where it's every three months

15:53.200 --> 15:55.400
and it's where strategic decision are done,

15:55.400 --> 16:00.640
are taken, what will be our next implementation and so on.

16:00.640 --> 16:01.960
Then we have a technical community.

16:01.960 --> 16:03.560
It's only six people.

16:03.560 --> 16:06.840
And it's just like to take really sometimes

16:06.840 --> 16:09.760
we have some strategic decision to take really fast

16:09.760 --> 16:13.960
and we just join all of six people together.

16:13.960 --> 16:15.960
And we should have a nice plan as to your community,

16:15.960 --> 16:19.040
but it never happened.

16:19.040 --> 16:21.680
We communicate inside with formatimen matter,

16:21.680 --> 16:26.520
most kind of slack and alternative.

16:26.520 --> 16:29.560
The phone links come from the lab when the developer

16:29.560 --> 16:31.920
have time because they are not on reset project.

16:31.920 --> 16:36.120
They develop noise capture on the developer noise modelling.

16:36.120 --> 16:42.000
Most of the phone links are from research project, of course.

16:42.000 --> 16:45.200
Especially now, we try for all the people

16:45.200 --> 16:47.080
from the university contacting me because they want

16:47.080 --> 16:49.320
to use noise modelling for the research project.

16:49.320 --> 16:51.920
I asked them to put the funding, of course,

16:51.920 --> 16:57.000
of the size of the project, but to a like 1, 2,000, 3,000 euros

16:57.000 --> 17:01.680
inside the lines saying, OK, I will contribute to the model.

17:01.680 --> 17:04.680
I will contribute to the project with this money.

17:04.680 --> 17:07.680
Basically, help us to do the noise modelling days, for example.

17:07.680 --> 17:08.480
This kind of thing.

17:08.480 --> 17:10.120
Or for example, I am here normally,

17:10.120 --> 17:12.840
I should be here for for them with this kind of money.

17:12.840 --> 17:16.960
It's not the case for other reasons, but here.

17:16.960 --> 17:18.880
So this is the idea.

17:18.880 --> 17:23.720
And it's not enough to have a developer on the tool,

17:23.720 --> 17:28.400
but it's enough to make the tool alive.

17:28.400 --> 17:30.600
We have this amount of money every five years,

17:30.600 --> 17:31.480
because it's mandatory.

17:31.480 --> 17:34.120
So every five years, government should do the noise modelling,

17:34.120 --> 17:35.360
they contact us.

17:35.360 --> 17:39.600
And we say, ah, we need two years of research in the near or

17:39.600 --> 17:43.840
two engineer, as they found these two years of two engineer.

17:43.840 --> 17:46.240
And sometimes we are funding from private company,

17:46.240 --> 17:49.680
but it's really small, because it's only if research is involved.

17:49.680 --> 17:53.840
And yeah, private company don't invest so much in researching

17:53.840 --> 17:57.520
and very modern noise and so on.

17:57.520 --> 18:01.560
I want to take this last minute to speak about two very close projects.

18:01.560 --> 18:05.440
And these two projects are related by Air 1,

18:05.440 --> 18:08.720
Bocher, as the first on Tuesday, I'll show you at the beginning.

18:08.720 --> 18:11.680
One is H2G, this is a spatial database that we are using.

18:11.680 --> 18:14.960
We are not using POSG, it's connected to POSG,

18:14.960 --> 18:18.480
but most of the time we are using this database.

18:18.480 --> 18:22.000
It's much less popular, but it's really useful for us,

18:22.000 --> 18:23.800
especially because it's standalone.

18:23.800 --> 18:29.240
So it's really easy to give your database to someone just a file.

18:29.240 --> 18:35.760
And most of the time, it's most easy to install a POSG server on the side.

18:35.760 --> 18:38.880
Another platform is geoclimate.

18:38.880 --> 18:42.160
It's a geospatial processing tool box.

18:42.160 --> 18:47.040
And Air 1 did the job to finish.

18:47.040 --> 18:50.320
Do you just don't open three-platform data?

18:50.320 --> 18:53.360
And they are directly formatted for noise modeling

18:53.360 --> 18:54.480
to do noise mapping.

18:54.480 --> 18:57.040
So this is a useful tool for us.

18:57.040 --> 18:59.440
We could do it by N or to have our own script,

18:59.440 --> 19:03.120
but it's directly integrated inside this platform.

19:03.120 --> 19:05.680
I see that there is not the link, but of course,

19:05.680 --> 19:07.680
if you put it in Google, you will update it

19:07.680 --> 19:09.840
with the GitHub leak documentation.

19:12.560 --> 19:17.200
So my conclusion, maybe it's just why I'm in for them.

19:17.200 --> 19:20.560
Of course, to get inspired, to get some advice,

19:20.560 --> 19:22.240
reconnect with first community, because there

19:22.240 --> 19:26.880
are one is not so close than before.

19:26.880 --> 19:31.200
I think we have to reconnect a little bit with this community.

19:31.200 --> 19:34.400
To see, of course, as you are, I guess,

19:34.400 --> 19:36.560
to see how other research software

19:36.560 --> 19:39.200
struggle with open source from the X-M antennas,

19:39.200 --> 19:41.040
community and so on.

19:41.040 --> 19:45.040
And also, from two or three years ago, one colleague

19:45.040 --> 19:50.320
won a European project about open research and open source in acoustics.

19:50.320 --> 19:52.800
So you begin to see in the acoustics

19:52.800 --> 19:55.360
Congress some session about open source.

19:55.360 --> 19:58.560
So there is a rise of an acoustic open source community,

19:58.560 --> 20:00.800
much more than before, but it's not clear

20:00.800 --> 20:02.960
or if we have to stay between acousticians,

20:02.960 --> 20:04.880
or if we have to under enforce them and force

20:04.880 --> 20:06.480
for the instead of like this.

20:06.480 --> 20:11.360
So this is this discussion we have inside the group.

20:11.360 --> 20:15.120
And maybe find some logics or a mongubert.

20:15.120 --> 20:16.400
Yes.

20:16.400 --> 20:17.600
So thank you very much.

20:17.600 --> 20:25.600
Thank you.

20:25.600 --> 20:26.800
Yeah.

20:26.800 --> 20:28.080
Yeah.

20:28.080 --> 20:32.160
Have you considered maybe a correlate in open device

20:32.160 --> 20:38.880
and the project more than, like, I think this can have an impact on

20:38.880 --> 20:43.040
how the population is going to be displaced,

20:43.040 --> 20:46.800
because it's been noise and it might be getting working with

20:46.800 --> 20:51.520
a company that will develop building through physicians

20:51.520 --> 20:54.560
and more to place them more to the mutual way that,

20:54.560 --> 20:56.240
you know, there's been noise that will be going to be

20:56.240 --> 20:57.520
over something like that.

20:57.520 --> 20:58.000
Yeah.

20:58.000 --> 21:03.920
So question is, are we connecting the data that we have with

21:03.920 --> 21:09.040
with something as like buildings or like,

21:09.040 --> 21:11.680
how it's moving inside the city and so on?

21:11.680 --> 21:15.360
And the noise capture data is not is really rough.

21:15.360 --> 21:16.880
It's not a good quality data.

21:16.880 --> 21:19.040
So up data.

21:19.040 --> 21:22.480
So I will never did it and I guess it will not work,

21:22.480 --> 21:26.720
because it's spare data and with really different quality and so on.

21:26.720 --> 21:30.640
Now noise modelling, one of the private company I list

21:30.640 --> 21:33.680
is was because it doesn't exist anymore,

21:33.680 --> 21:36.720
but it was a startup providing a website

21:36.720 --> 21:41.840
where I want to, when you want to buy our someone,

21:41.840 --> 21:44.640
it was competing a noise map, a small noise map giving a noise

21:44.640 --> 21:48.240
to develop the facade and you kind of have some information about it.

21:48.240 --> 21:50.000
Yeah, the startup doesn't exist anymore.

21:50.000 --> 21:53.200
I don't know if because the market is not here,

21:53.200 --> 21:56.160
or for other reasons, but yeah, some people are using it.

21:56.160 --> 21:59.840
But yeah.

21:59.840 --> 22:02.480
But I saw only three research tropics here,

22:02.480 --> 22:04.720
but of course we are connected with epidemiologists.

22:04.720 --> 22:08.400
For example, we are connected with people in

22:08.400 --> 22:11.840
ecological science, biodiversity and so on.

22:11.840 --> 22:17.120
We also have simulation to see how the noise level actually

22:17.120 --> 22:20.480
all over the time.

22:20.480 --> 22:22.960
This is something, a topically interesting,

22:22.960 --> 22:24.960
but we have two issues.

22:24.960 --> 22:28.160
Oh, again, noise capture data is not a good quality.

22:28.160 --> 22:30.640
And noise modelling, as a single model

22:30.640 --> 22:33.680
are going really, are changing also time.

22:33.680 --> 22:37.760
So it's really difficult to be sure that the change in noise level

22:37.760 --> 22:41.760
is not due to the change of the model of the quality of the input data.

22:41.760 --> 22:44.560
Or if it's due to a modification of mobility,

22:44.560 --> 22:47.040
for example, transportation and so on.

22:47.040 --> 22:51.520
And for example, for the moment, the studies that we are done

22:51.520 --> 22:54.240
are, for me, it's not really clear what we are looking at.

22:54.240 --> 22:56.560
If we are looking at change of method or yeah.

22:56.560 --> 22:59.520
But I guess one time we will have a really nice paper

22:59.520 --> 23:03.440
doing it well, but not at the moment.

23:03.440 --> 23:04.240
Yeah.

23:04.240 --> 23:06.960
My question is very similar, but I don't know about that.

23:06.960 --> 23:10.000
And so it's a couple of minutes, and it's very flexible.

23:10.000 --> 23:13.040
I think when populations like those,

23:13.040 --> 23:16.800
some of them are going to be able for normal life,

23:16.800 --> 23:18.960
take advantage like that, and maybe use them

23:18.960 --> 23:21.280
or handle them as possible.

23:21.280 --> 23:24.880
Yeah, the question is if there is like big festival in the city,

23:24.880 --> 23:27.760
the population can double, and oh, we could handle

23:27.760 --> 23:31.200
this kind of phenomenon in the platform.

23:31.200 --> 23:33.840
And noxmoling is perfectly adaptive to this kind of thing, yeah.

23:33.840 --> 23:37.520
And the model, you can simulate the doubling traffic

23:37.520 --> 23:38.960
in the city and so on.

23:38.960 --> 23:42.240
The main issue when you do this kind of thing is,

23:42.240 --> 23:46.080
if you don't that transportation model connected,

23:46.080 --> 23:49.200
you can double the traffic, but maybe traffic can't go,

23:49.200 --> 23:51.440
you have congestion, and so on, and this kind of thing,

23:51.440 --> 23:55.680
or traffic will change the routes that they will take.

23:55.680 --> 23:57.840
So people will change the routes they will take.

23:57.840 --> 24:02.880
So it's exactly why we are working with this kind of big chain of model

24:02.880 --> 24:06.160
to connect to this traffic model, because it's like one piston or more.

24:06.160 --> 24:10.000
So for example, that's not much traffic increases.

24:10.000 --> 24:11.120
Other than the human traffic.

24:11.120 --> 24:12.320
Ah, yes, perfect.

24:12.320 --> 24:13.360
What do we call it?

24:13.360 --> 24:16.160
At the end of the day, we'll say if it's a very distant model.

24:16.160 --> 24:17.600
Yeah, yeah, yeah.

24:17.600 --> 24:20.320
And in this festival, it's not so much the traffic increases,

24:20.320 --> 24:23.600
but the human increases, the noise of people and so on.

24:23.600 --> 24:26.640
And yes, it's much less an interest in size of the lab,

24:26.640 --> 24:29.200
because historically we work about some partition,

24:29.200 --> 24:32.480
but the closer model you can put, whatever the sun source you want,

24:32.480 --> 24:36.080
just at the front.

24:36.080 --> 24:40.640
I worked specifically on human noise sources.

24:40.640 --> 24:42.880
The most difficult is to find the density of the people

24:42.880 --> 24:44.000
where they are in the city.

24:44.000 --> 24:46.720
For a specific festival could be okay.

24:46.720 --> 24:52.080
But for city like Briggs and to know where people are speaking or shouting and so on,

24:52.080 --> 24:52.960
it's not so easy.

24:52.960 --> 24:56.400
The places are changing both the time and so it's difficult,

24:56.400 --> 24:59.760
but it's one research interest here.

24:59.760 --> 25:01.040
Yeah.

25:01.040 --> 25:03.040
Yeah.

25:03.040 --> 25:08.480
The most maps are to the mention of the further

25:08.480 --> 25:13.280
the calculations in the model are the three-dimensional.

25:13.280 --> 25:16.880
Yes, in fact, noise map, yeah.

25:16.880 --> 25:20.640
No map, I showed our two-dimensional, but the question is,

25:20.640 --> 25:23.120
if the calculation is three-dimensional,

25:23.120 --> 25:25.440
and I showed, like, two-dimensional,

25:25.520 --> 25:30.320
but the reservoirs that form matters over the floor,

25:30.320 --> 25:32.320
but you can put reservoir, whatever you want, finally.

25:32.320 --> 25:34.000
You could do three, three, three,

25:34.000 --> 25:36.000
no, it's map without any problem.

25:36.000 --> 25:39.600
The only thing is because we are using DA as platform,

25:39.600 --> 25:42.560
the pass-finding algorithm is like two-and-a-half-d,

25:42.560 --> 25:45.600
dimension, it's like a studied building.

25:45.600 --> 25:49.360
If you have, like, an art, the nice of a don't go inside the art,

25:49.360 --> 25:55.360
but there is not so much this kind of building in the world, so that's okay.

25:55.600 --> 25:56.560
Yeah.

25:56.560 --> 25:59.520
Um, it's very much real great, just a thing.

25:59.520 --> 26:04.960
I was wondering if you are familiar with a people-day noise map,

26:04.960 --> 26:07.040
so on the ground systems, because it's a thing,

26:07.040 --> 26:09.600
but if there's a place where you speak, I don't.

26:09.600 --> 26:10.640
Yeah.

26:10.640 --> 26:14.080
So, question if I am familiar with people doing

26:14.080 --> 26:19.280
underground noise map for transportation, transportation system, for example.

26:20.320 --> 26:23.840
Yes, and no, we are familiar with them when they are outside.

26:24.800 --> 26:27.680
Because sometimes, the control is going outside and going down.

26:28.720 --> 26:33.440
But when it's, yeah, when it's in close places,

26:33.440 --> 26:36.080
it's all the other models and knosos EU,

26:36.080 --> 26:37.280
and really specific one.

26:37.280 --> 26:41.120
And it's more, the same models that I use for architecture, for example,

26:41.120 --> 26:42.560
because close spaces.

26:42.560 --> 26:44.160
We also have an open source.

26:44.160 --> 26:45.760
In fact, it was the first software,

26:45.760 --> 26:48.080
an open source in the lab was for architecture,

26:48.080 --> 26:50.400
all acoustics, the name is Isapa.

26:50.400 --> 26:53.680
And is this software can be used for, for underground,

26:53.680 --> 26:55.680
for transportation, and similar as that one.

27:01.920 --> 27:02.560
All right.

27:02.560 --> 27:03.760
Yes, there's a question.

27:03.760 --> 27:06.320
You mentioned some, in terms of public collaboration.

27:06.320 --> 27:08.960
So, we have collaboration with OBR, the technologies,

27:08.960 --> 27:12.160
like some of which you can see, because much of a reflection,

27:12.160 --> 27:15.920
you work with the involvement of our advanced science,

27:15.920 --> 27:18.560
to the G, although are like this.

27:18.560 --> 27:23.520
Yes, so the question is about interdisciplinarity,

27:23.520 --> 27:26.160
and this kind of tools.

27:26.160 --> 27:30.000
In the lab, we are part of one institute, for example,

27:30.000 --> 27:34.960
with the Institute of Research of Science and Technics

27:34.960 --> 27:36.640
about the city.

27:36.640 --> 27:39.120
And inside this institute, there is all this.

27:39.120 --> 27:41.600
Most of the time it's your banner here,

27:41.600 --> 27:45.920
but inside this institute, you have like sociologist,

27:45.920 --> 27:49.600
your band studies and so on, and so on, and we work with them.

27:49.600 --> 27:52.480
For example, here, the guy you're doing this part

27:53.440 --> 27:56.320
is an economic, it's an economic transportation,

27:56.320 --> 27:59.040
an economic guy, for example.

