Omarvis Mendoza

Fortis fortuna adiuvat

[I'm Kens @Kensss23]

Secret Tool for Perfect Cable Alignment.💡⚡👌

[Mustafa @oprydai]

study physics with math.

otherwise you’re just collecting metaphors.

• force → vectors, not vibes
• motion → calculus, not intuition
• energy → equations, not slogans
• fields → geometry, not magic
• waves → functions moving through space

physics tells you what reality does.

math tells you why it does it.

separate them and you get shallow understanding.

combine them and the world starts exposing its source code.

[Physics Explained @PhysicsExpvf]

Quardic surface standard forms

[Math is Sacred @mathissacred]

Pythagoras Theorem in different geometries.😎!

[Electrical Knowledge @electric_4u]

complete cctv wiring diagram with power supply

[Today I Learned @TodayiLearrned]

⚙️ How a 4-Stroke Engine Works

[Mustafa @oprydai]

the kalman filter is one of those ideas that shows up everywhere once you understand it.

robots.
drones.
self driving cars.
sensor fusion.
tracking.
navigation.
control systems.

the problem is simple:

your sensors are noisy.

gps is not perfect.
imu drifts.
encoders slip.
cameras lose track.
lidar gives uncertainty.

so the system has to ask:

what do i think is happening?
and
what did the sensor just tell me?

the kalman filter sits between those two.
prediction + measurement = better estimate.

it predicts the next state using a model.
then it looks at the noisy sensor reading.

then the kalman gain decides how much to trust the model vs how much to trust the measurement.

that is the whole loop:

predict.
measure.
update.
repeat.

this is why it is so powerful in robotics.
a robot does not get clean truth from the world.
it gets noisy signals and has to estimate reality in real time.

the kalman filter is basically uncertainty management.
not guessing.
not blindly trusting sensors.
not blindly trusting the model.

just continuously correcting belief as new data comes in.

that is what intelligence in physical systems looks like:
build a model of the world.
observe reality.
measure the error.
update the belief.

[Chris Short @ChrisShort]

A Practical Guide to SSH Tunnels: Local and Remote Port Forwarding | iximiuz Labs #devopsish https://t.co/9xZBD01jNV

[Mustafa @oprydai]

euler’s identity is one of those equations that feels too clean to be real.

e^(iπ) + 1 = 0

it connects five of the most important constants in mathematics:

e
i
π
1
0

all in one line.

but the real beauty is not just that the equation looks elegant.

it is what it means.

e is growth.
π is rotation.
i is the imaginary direction.
1 is identity.
0 is nothing.

and somehow, when you rotate e through the complex plane by π radians, you land exactly at -1.

so:

e^(iπ) = -1

then:

e^(iπ) + 1 = 0

this is why math is not just calculation.

it is structure.

euler’s identity connects algebra, geometry, trigonometry, and complex numbers into one compressed statement.

growth becomes rotation.
imaginary numbers become geometry.
a circle becomes an exponential.

that is the kind of equation that makes you realize math is not invented just to solve school problems.

it is a language for seeing hidden relationships in reality.

[Cosmos Archive @cosmosarcive]

A mathematical coincidence occurs when two mathematical expressions are nearly equal, despite having no known theoretical explanation for their close agreement.

[𝐇𝐚𝐦𝐳𝐚 | Network Engineer (Aspiring) @Hamzaonchain]

Most people hear "proxy server" and think it's just for hiding your IP address. In reality, proxies do much more.

Different proxy servers are built for different jobs. Some protect users, others protect servers. Some filter or monitor traffic, while others improve performance, security, and load balancing.

Knowing when and why each type is used is an important networking skill, especially if you're studying for the CCNA or working toward a career in networking, cybersecurity, or DevOps.

Hope this helps your study plan.

[𝐇𝐚𝐦𝐳𝐚 | Network Engineer (Aspiring) @Hamzaonchain]

LAYERS OF CYBERSECURITY

[Engineering Knowledge @DP0STS]

Water Level Indicator

[Math Hub @mathhub_vn]

Rotation Matrices in Motion.

[Sam Mathverse @Sam_Axiom]

Solution of this Differential Equation Problem