The kinetic energy is converted into thermal energy. So, how do I slap a chicken to cook it?

Let's say a whole-size chicken. As if you were eating with your family

Programming languages ​​- Python 3-based aerial mapping program via thermal imaging?

So, first of all, I must say that, although I am fairly familiar with the computer hardware and the basics of the network, I do not have a clue about programming. I am in a giant learning process, and I know I want to learn python. (Except if there is a simpler language out there.)

But that 's not why I post it. I publish this because I have an idea and a question about the best way to go about this idea.

Drones become a big deal. Being certified by the FAA, I want to try to put them to good use.

My question is this: Does Python have the functionality to be able to

– Communicate with material (like a drone)

– use the communication data, such as thermal images and,

– Convert this information into digital data that can be mapped, plotted or otherwise drawn?

And what is the best way / coding language / IDE to achieve this?

Do not forget that I work best when the code is as close to English as possible, so programs like Inform 7 seem naturally logical to me. I'm just not sure what's out there right now.

I am by nature a big user of Windows, but if a simpler language exists under MAC OS or under a Linux distribution, I would not mind making a change.

I would also prefer open source solutions to solve this problem, but if there is a relatively inexpensive business development environment or something that will do the trick, I will also keep it in mind.

Thank you everyone!

Cheers.

Triggers of the thermal genesis process

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Triggers of the thermal genesis process

by piece – Variable conductivity thermal equation

Consider the problem (very simple)

$ qquad partial_x[k(x),partial_xu]= 0, quad x in [0,1]$

$ qquad u (0) = 0, u (1) = 1, $ with l in (0,1) $

$ qquad k (x) = left { begin {array} {l} k_1 ^ {}, x <l \ k_2 ^ {}, x ge end {array} right. ,, $

who has the analytical solution given by

$ qquad k (x) , partial_xu = a rightarrow u (x) = left { begin {array} {l} frac {a} {k_1 ^ {}} x, , x <l \ frac {a} {k_1 ^ {}} l + frac {a} {k_2 ^ {}} (xl), , x ge end {array} right. ,, $

and for which $ a $ must be sought to satisfy the limit condition of $ x = $ 1

$ qquad a = frac {1} { frac {l} {k_1 ^ {}} + frac {1-l} {k_2 ^ {}}} $.

The following code

k1 = 1;
k2 = 2;
l = 3/4;
a = 1 / (1 / k1 + (1 - 1) / k2)
k[x_] : = By pieces[{{k1, x < l}}, k2]
sol = DSolveValue[D[k[x] re[y[x], X], X]== 0 && y[0] == 0 && y[1] == 1, there[x], X]

returns $ x $ as a result, which is not the solution for $ k_1 neq k_2 $ since the derivative of $ u $ must change from one conductivity to the other while the heat flow is constant.

Is it because of a misuse of By pieces? Or what else?

I'm using version 10.3.1.

plot – How to include boundary conditions in the thermal conduction problem and the plot?

It is a problem of 1-D thermal conduction for a 5 cm circular rod, T (x, 0) = 0, T (infinity, t) = 0, the left limit is isolated.

I'm trying to use the numerical method over, but the first question is how could I write the left terminal condition, the second question is how to plot the temperature profile and heat flow to x = 5cm?

[Lambda]    = 0.0035
imax = 5;
lmax = 300;
For[i = 1, i < imax, i++, T[0, i] = 0];
For[l = 0, i < lmax + 1, l++, T[l, imax] = 0, left boundary condition];
For[l = 0, l < lmax, l++,
 For[i = 1, i < imax, i++,
  T[l + 1, i] = [Lambda]* (T[l, i + 1] - 2 * T[l, i] + T[l, i - 1]+
T[l, i]]]a = table[T[T[T[T[l, i], {l, 0, lmax}, {i, 0, imax}];

more migrating thermal problem

Hello guys, I get the warning below when I run mysite locally. Do you have an idea of ​​what causes this ??

Warning: Walker_Quicklinks_Menu :: start_lvl declaration (& $ output, $ item, $ depth = 0, $ args = array, $ id = 0) must be compatible with Walker :: start_lvl (& $ output, $ depth = 0, $ args = Array) in C: Users User Desktop www.sto.dev.cc wp-content themes my_site functions.php on line 295

sensor – burnout LIDAR; standards, specifications or even guidelines on thermal damage caused by infrared lasers?

In the BBC News article, a laser-damaged camera in an unmanned car describes a situation in which a particularly powerful infrared laser emitted by the LIDAR of a prototype car at CES damaged the camera's sensor from a photographer.

Question: Are there standards, specifications or even guidelines in the sensor or camera manufacturing industries for thermal damage due to intense light sources?

  • If a LIDAR manufacturer wanted to be responsible and put in place a system that he thought would probably not damage security cameras and traffic cameras up and down the street, could he turn around? to information or limit the laser emission? Maybe a maximum radiance value in each of several ranges of wavelengths?

  • Or if a camera manufacturer wanted to be responsible and build a camera that probably could not be damaged by a car, robot or other LIDAR system?

  • Or if a LIDAR was part of the display of another product (such as a car or a robot), but it may not be obvious to all members of the public that IR lasers are involved, and screen owners wanted to know what laser level could justify including a warning on the cameras?

Until now, answers to the question Are there industry standards or specifications regarding the resistance of image sensors to the damage caused by intense light?
Ask a question
are basically "no", but outdoor photography is so ubiquitous that the experience is plentiful.

Now, however, infrared laser beams in the eyes are something new and different, and they are invisible. So we do not necessarily know that we are photographing a laser until the point does not appear in the photo.

As I understand it, these LIDAR systems use wavelengths that are absorbed in the front of the eye and never pass through the lens and focus on a small dot on the retina. An anti-IR filter on the lens You can alleviate the problem, but an infrared blocking filter on the sensor near the fireplace can melt and break down for the obvious reason that it absorbs energy that is now focused on a small point.

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The lidar system at the top of the demo car

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The purple dots and lines on this picture of the Stratosphere Hotel in Las Vegas show the damage caused by …

Ms. Nazer added that for the cameras to be immune to high power laser beams, they needed an optical filter that removes infrared invisible to humans. However, this can affect night vision, when the infrared can be a benefit.

"AEye is known for its lidar units whose range is much longer than that of their competitors, ranging from 1 km to 200 m or 300 m," she said.

"In my opinion, AEye should not use their powerful fiber laser during shows."

Triggers the thermal genesis process

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Triggers the thermal genesis process

pde – Thermal equation + Uniform convergence over time -> Harmonic limit

Suppose we have $ u in C ^ 3 ( mathbb {R} ^ n times (0, infty)) $ satisfy the heat equation $$ Delta u (x, t) = partial_t u (x, t) $$ and a function $ u_0: mathbb {R} ^ n to mathbb {R} $ with an unknown regularity (at least twice differentiable if necessary) as $$ sup_ {x in B (0, r)} left u (x, t) – u_0 (x) right rrt xrightarrow {t to infty} 0 quad forall r> 0. $$

I need to show that $ Delta u_0 = 0 $ in all $ mathbb {R} ^ n $.

My first approach was the average value theorem for functions satisfying the heat equation. Then, just show that $$ frac {1} {4r ^ n} int_ {E (x, t; r)} u (y, s) frac { left | x-y right | ^ 2} {(s-t) ^ 2} , dy , dt xrightarrow {t to infty} frac {1} { left | B (x, R) right |} int_ {B (x, R)} u_0 (y) , dy $$
for some people $ R $ it depends on $ r $ (maybe the same), where $$ E (x, t; r) = {(y, s) in mathbb {R ^ {n + 1}} : s t Phi (xy, ts) ge frac {1} {r ^ n} } $$ are the famous balls of heat.

I am not sure that this approach will lead to the desired result. Even so, I do not know how to proceed with the hot bullets here.