Science behind Bluetooth audio as input for video recording

Apps like Bluetooth Mono Router & BTmono let you hear music on old Bluetooth (BT) earphones that were mono (meant for voice calls only since they don’t support A2DP profile) .

So, if you have such mono sets lying around, you can use them for listening to music, YouTube, etc which is good.

There is a more interesting aspect to it – these allow you to use your BT ear sets to input audio into a video recording. You can comfortably record videos with your BT audio input as long as you are in range, without using wired microphone or UHF transmission. See Bluetooth input for video recording : Android 10, One Plus 7

This can’t be done with the ear sets supporting latest BT 5.0.

How does this work?. (I’ve spent several hours unsuccessfully searching the net and sister SE sites) .

Wall Climbing Dynamic program – Computer Science Stack Exchange

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Is SEO blogging synonymous with rocket science?

Doing SEO for blogging can drive me crazy !!

There are so many things to do – and so many things to avoid (to avoid getting into Big G's bad books!)!

Sometimes it's completely frustrating and even depressing and you feel like just throwing in the towel.

SEO is not that easy.

I keep asking myself what I should and shouldn't do in order to rank on Google Page 1 in a short time.

But I miss this answer and I find it extremely confusing.

I think many newcomers feel the same way.

Can peers help and lead them here?

Is SEO blogging synonymous with rocket science?
SEMrush

Or do I just think so?

greetings

Time complexity problem – Computer Science Stack Exchange

Let Σ = {0, 1} and let A ⊆ Σ* * be a language included in DTIME (4thn) and define

B = {xx | x ∈ A}.

(a) Show that B ∈ DTIME (2n).

(b) Prove that A ≤pm B. B.

I am new to complexity theory. How can I show this when language has the temporal complexity O (4thn) How can I prove that its sublanguage has the complexity O (2)?n). any help with part (b) would also be appreciated.

Planning with network processes – Computer Science Stack Exchange

Suppose we want to test a circuit that is modeled as an undirected graph G as follows: We want to test every arc ij, Aij times and assume that there is a limitation that we can test at most Bj arcs every hour on the drop a knot j. Find a schedule that will complete testing all of the arches in the fewest hours.

I tried to solve it using network flows, assuming that each arc has a capacity of Aij, while the capacity of any vertex is j Bj, but gets stuck afterwards. Am I going in the right direction or should I solve it completely differently?

Language of context sensitive grammar – Computer Science Stack Exchange

I have the following context sensitive grammar:

$$
begin {align *}
& S to xSy mid a mid b \
& Xa to aa \
& Xb to bb \
& Y to a
end {align *}
$$

I know what it does because it always ends $ a $ and is preceded by 3 $ a $s or 3 $ b $s. I'm just not sure how to write that in sentence notation and would appreciate any help. Would it be something like that?
$$ L = {a ^ n, b ^ m mid n ge 1, 0 <m le 3 } $$

Maximum Flow Variation Problem – Computer Science Stack Exchange

This is my homework on the programming course. Now let’s examine the topic ’Maximum Flow Problem’. The task is to be solved by using this technique. Below I explain the task and what I am trying to do to solve it. Please check my approach and see if it is correct. If not, what is my mistake?

This is the original task I am trying to solve:

Companies with N workers move from one place to another. Each worker has several gold bars to bring along while moving. The worker can give some of his bars to another worker, but only if he trusts the other worker. And the other worker can also give this bar to the other worker whom he trusts. What is the minimum possible number of bars that the most stressed worker should bring if he optimally distributes bars?

Entry for the task:

In the first line we get 2 numbers N and K (1 ≤ N ≤ 100, 0 ≤ K ≤ N (N-1) / 2) – number of employees in the company and number of trust pairs. Next N numbers v_i (1 ≤ v_i ≤ 10 ^ 6) – number of bards that each worker initially has. In each of the next K lines, we have 2 numbers a and b, which represent the fact that workers are a trust worker b to carry their poles.

My guess about the solutions:

I suspect that the complexity of the expected solution is O (N ^ 2 * k * log v) where k is the maximum number of v_i. In this solution, O (N ^ 2 * k) is the complexity of the Dinic algorithm.

Let us check if it is possible that the solution is m. We can start with the value m = k / 2. In that case, the worker can either accept gold bars from other workers if v_i < m or give bars to other workers if v_i > m.

The task could only have a solution if the sum of the items that workers should give so as not to carry more than m bars is less than the number of items that workers can take. It means that

$$
sum_ {i = 1} ^ N m – v_i geq 0
$$

My approach is this:

  1. Create virtual source and sink nodes in the diagram.
  2. Connect the source node to the worker if v_i> m and set the capacity of the edge to m – v_i.
  3. Connect the worker to the sink node if v_i <m and set the capacity of the edge to v_i – m.
  4. Connect worker a to worker b if a trusts b. But how big should the capacity of the edge be? Maybe set to "unlimited"?

Check that the maximum flow is the sum of the capacity of all edges coming from the source. In this case, any additional gold workers who should give away to have no more than m bars would and should be given to some workers who can carry it and still have less than m bars in their hands.

Please check my approach. I cannot prove that it should work. But I have a feeling that it could be fine.

Taboo search algorithm – Computer Science Stack Exchange

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