Waching daily Mar 28 2018

Can I use the phone as a webcam?

It's a question you've probably asked yourself up to now, and my answer is clearly YES

Let's show you how to to do it.

If you're interested in tricks or tips to help you dominate Youtube and Google,

I invite you to subscribe to this channel.

Hello, I'm Ionut from Meps.ro, welcome to a new clip.

Do you have a poor webcam and would you like a better quality of your videos on Youtube?

Put away some money and get a better one.

Or, a much easier thing to do is to use this object, called a cell phone,

It has the camera both on the front and on the back, it remains at your discretion which you want to use it

It's very easy to use and to make from this device a webcam, I'll show you right away.

First install on your phone the Droidcam Wireless Webcam, a Google Play app,

Then on your PC install this Droidcam Client, which will allow your PC to be

In contact with your phone,

And then we have to make some settings and we'll have a phone that works as a webcam

First of all, keep in mind that your phone and PC must be on the same network,

To work.

Then, when you open the Droidcam app on your phone,

Check this "WiFi IP", in this case, 192.168.0.101.

This will have to be copied and sent to your Windows application.

Then you have a few settings,

Which you can use,

If you want to use the microphone from your phone, you can also use it,

You can also use the front camera or camera on the back,

The camera that will open is the one in the back, but if you want to use the front camera,

You'll have no problem, check this out and it will happen exactly as you wish.

Then open the application on Windows, Droidcam Client

Add that IP I was telling you about. Here is already added the Droidcam port

If you only want video, check Video, if you want audio also, check Audio.

After that, you just have press Start and at this moment, as you can see,

I am also on this interesting application that you can use without any problem, as I said,

As a webcam.

See what interesting quality it has, even if I use the frontal camera of the phone.

Then, to stop it, I pressed Stop.

And the last setting you need to do is add the webcam made from

Your mobile phone as the source for the different applications you use

I'll show you for OBS, because that's what I'm using right now.

Plus, I'm looking for Video Capture Device,

I will give it any name, I leave it so far, but you can add any name you want,

ok,

And from Device, choose DroidCam Source 3,

ok,

Of course you can set various other settings to this source,

And when you want to remove this, click on Minus

And it's gone.

You can also add Audio Input Capture,

Okay, I showed you,

We have here Virtual Audio Droidcam Microphone,

Use your mobile phone as a microphone,

And so, this mobile phone as a webcam without any problem,

Again, when you want to remove it, Minus, and you've managed to remove it.

If you learned something useful from this clip and want to see similar videos in the future,

The first step I advise you to do is subscribe to this channel,

Also, if you have among your friends, people who might be interested in these subjects,

Please share the video to them, to help.

And until next time I wish you a good SEO.

For more infomation >> Can I use the phone as a webcam? - Duration: 4:32.

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Certification de services supports pour du e-gouvernement - Duration: 6:24.

Government organizations face a new challenge:

to build IT infrastructures for the support of

``e-government'' services, in other words government services

that are accessible online while remaining reliable and secure.

With this support, any citizen could request an administrative procedure

and expect in return a timestamped certificate

of the operations carried out.

An obvious property of government e-services is that they MUST be resilient to failures,

regardless of their origin: accidental or malicious.

A first step is to rely on databases that demonstrate strong reliability.

There are several ways to build such databases.

The current trend is to use the ``blockchain'',

whose main usage is to record financial transactions associated with

virtual currencies such as ``Bitcoin''.

But there are other building blocks, for instance ``Distributed Hash Tables'', or DHTs.

``DHTs'' arrange huge numbers of nodes into virtual rings, where each node is associated with a computer.

A DHT ring can span over the whole planet, hosted by machines connected to the Internet.

Each ring node has a unique logical identifier: for example a number from 1 to N.

In order to compute the unique identifier of a node, DHTs provide a function

that takes the network address of the host computer as input.

Every physical machine on the Internet has a unique network address.

DHT functions add a distribution property

to the effect that two machines which are physically close in terms of network addresses

have a very low chance of being logically close on the virtual ring.

This property prevents the virtual ring from getting broken,

even in the event of a country-wide outage. The DHT maintains redundant copies of node addresses

to strengthen the ring the ring even further against failures.

The DHT stores and replicates data

on a set of nodes whose identifiers are numerically close, thus preventing

losses due to failures.

To read and write a data entry, a user must know its logical key,

a numerical identifier associated with the entry.

DHTs are good building blocks for e-government services.

In cooperation with colleagues from the four corners of the World:

at the laboratoire d'Informatique de Paris 6 at Sorbonne Université and Inria

in Paris, at the Universidad Técnica Federico Santa Maria in Valparaiso, Chile,

and at the Shanghai campus of New York University, we have designed,

on top of a DHT, a scalable system that stores transactions

and provides a non-repudiable certificate for each transaction.

However, even after we finished its design, we still had to prove our system

delivered its services correctly: no loss of transactions, no emission of an erroneous

certificate that would attest of an imaginary transaction.

The proof is hard to establish.

Indeed, our system is highly parallel, which is also

what makes it robust.

However, a fundamental result, published in 1985

by three researchers, Michael Fischer, Nancy Lynch, and Michael Paterson,

demonstrates that it is impossible to reach a distributed consensus

in an asynchronous system where at least one process may fail.

Simply put: the fact that you've been waiting very long for a postal package

does not give you any clue towards conclusions.

The longer you wait, the higher the probability

that the parcel got lost or was never sent in the first place.

You can check physically if the sender is functioning correctly.

But if you're handling simultaneous exchanges of large numbers of parcels

among multiple nodes, checking every node at all times is unfeasible.

All the more so in a context of possible failures, since requests to the senders

can also get lost.

It is thus impossible to determine the exact

status of each parcel.

Since the results of Fischer, Lynch, and Patterson apply to

the runtime environment of DHTs, we had to demonstrate the correctness

of our algorithm in a complex setting.

To this end, we combined mathematical techniques

for behavior modelling and prediction with a probabilistic analysis.

We proceeded in two steps.

In our first step, we verified formally (and thus with a 100% certainty)

that the behavior of our system in an ideal world,

where there is no message loss and where consensus is indeed possible.

Then we assumed a fixed probability of failure on a single node to

assess the probability of failures in the distributed system:

the loss of a transaction which prevents the establishment of its certificate,

or the issuance of an erroneous certificate attesting a transaction

that never occurred.

We selected our failure model and designed our algorithm

to cover at the same time hardware failures, bugs, and

malicious behaviors.

Our mathematical analysis shows that,

assuming a 5% (5 times 10 to the power -2) probability of failure on any node,

we can bound the probability of failure of our overall system

to 10 to the power -13.

Our single node failure assumption is voluntarily high and gives an idea

of the efficiency of the system we propose.

To give you a concrete example, by using our system to file

all of the 36.5 million income tax declarations submitted every year

in France, the error rate would be about one per millenium.

In practise, it is impossible to achieve a fully failure-proof algorithm

in a realistic environment of execution, so we use the term

``quasi-certification'' to describe the type of guarantee our solution

provides for online services.

You can find more details about this work in our paper published in 2017 by The Computer Journal,

a prestigious international journal edited by Oxford University Press.