Stuffs like T1/T2 hypervisors.

Stuffs like cloud virtualization.

Stuffs like container based virtualization vs VM based virtualization.

I have virtual machines by Ravi Nair. But it goes into the Computer Science behind VMs which is not what I want.

Not for getting a job. Just for having fun. Simulating berkeley algorithm, simulating cristian algorithm. Leader election simulation. A real world simulation type simulation and so many fun stuffs. I do not have time currently, but plan to do when I am free. Any courses you would recommend that provide examples in Java? Or any textbooks?

I have been watching Neymar since I was 14-15. Loved the 2014's world cup initial matches. Neymar used to be 100% guaranteed fun to watch player. But the same I did not feel for Messi at that time. Followed him to PSG. And now I still support PSG even after he is no more in PSG.

Messi was also GOAT at that time, CR7 was as well. But I feel the likeness towards Neymar. I know he promotes betting apps, is a political ass-H*le. But he has that aura that now even messi does not have.

I like vinicius jr. He will probably end up as a better statistics players than neymar for brazil and club as well. I respect him that he is more motivated, less party style than Neymar. But he does not give me that fun. Even if he performs skills on the field, I am like "Well...". But even Neymar appearing on the field, I am like "WOWWWW".

Why does this happen? And how can I get another Neymar like player attraction? The para social relationship makes life so interesting.

I believe my downfall started with Neymar's to PSG as well in my life.

That level of para social relationship I am into.

I am 27 now. Is my age for loving footballers over?

I do not understand the need of HMAC!

For integrity, confidentiality,authentication, and non-repudiation we have encryption, hashing, and digital signatures. So why does the need of MAC?

> Reasoning some articles provide: > MAC is much less expensive than encryption/decryption

> MAC provides assurance that the message is unaltered and comes from the sender.

Hashing+digital signature can do this as well. To make it more secure, we could even use encryption.

I am mostly getting the concepts, but the need of MAC itself is not clicking for me.

I am currently studying from Wikipedia as it seems the only available article/pdf in the internet.

Honestly, I do not need much, just a simple block diagram that I can recall in the exam and get marks. I am struggling to reach there.

What is remaining? Why MAC is required?

If you want integrity->just hash

If you want confidentiality->just encrypt

If you want non-repudiation->just sign digitally.

More details in comments.

Where can I learn more regarding this? I finished searching the entire internet but no findings. Finally went to online chat bots.

They gave this:

In rule based system:

Inference is by forward chaining and backward chaining

Rules are easy to understand

Rules are traceable why a conclusion was reached.

Rules are easy to implement and debug.

Flexible because rules can be added without restructuring.

However for object based system:

inference occurs via message passing

it is more reusable

it is more modular

it is better for large, complex system.

This is so generic information. I do not know if I am at the right place to ask this. I googled expert system reddit and this was the page that appeared. That is why I am forward chaining that this might be a proper subreddit for expert system questions.

Need do some FFT stuffs in Java matlab. For fun purposes. Wanna simulate spectral leakage and see how hamming window reduces it?

I have a small toilet and bathroom. I deep clean it weekly.

I put harpic in comort and basin. Let it stay.

I start cleaning the floor, walls with soap water and a scrubber. I clean it. Then I spray water over it once done. Finally I clean the comort and basin with a mop/broom type thingy (IDK what is that called in english).

I clean toilet floor once after I bath daily just lightly though.

Does anyone do it special? Hiring a maid is not possible unless you are going to be funding them.

now enough of college life. they are teaching me to write about kerberos authentication system.

Why is such outdated tech being taught in colleges and universities? What can we do about it? btw, I need to learn it fast. What do you recommend as supplement materials? Stallings book?

x1(n)={->1,2,3}

x2(n)={->1,1,1}

Now I am finding convolution using graphical method.

n ranges from 0 to 4 and k ranges from 0 to 2.

Let's take n=4.

x3(n)=summation_k(x1(k)*x2(4-k))

Now I draw the signal x1(k), Very simple.

https://preview.redd.it/oybaawnvm19h1.png?width=1609&format=png&auto=webp&s=52db7f8307e654fe105ea948012d81faaec30f1d

Next I draw x2(-k). Since x2(k)={1,1,1}, x2(-k) should just be the mirror image across the y-axis.

https://imgur.com/a/ziJ6gI5

Now, as per the rule I learnt from youtube video professors, If differrent sign comes then left shift with respect to x2(-k).

Meaning x2(4-k) is 4 is positive, k is negative. Thus different sign. So, now left shift the signal x2(-k) by 4 units. But that provides incorrect convolution answer(it will result in 0). But the answer (I got from tabular method) is 3. That answer will come if the signal x2(-k) is right shifted by 4 units.

Can anyone confirm the rule?

>In semantic net, nodes are connected by a relationships known as link between the concepts.
There are two types of relations
i) general relatio such as Is-A, A-Kind-Of, Past-Of, Instance-Of, Agent, has
ii) domain specific relation such as a set membership.

https://preview.redd.it/z3sg4rwj409h1.png?width=1149&format=png&auto=webp&s=8679de14e08f659da326e92e3c0b3d17a1799faf

>A simple example is shown in figure.

>For inference using semantic nets, there are two ways

>i) property inheritance

>ii) matching

>Property inheritance is a form of default reasoning generally found in semantic net. It basically states that it is reasonable to inherit the characteristics from one's ancestor node.

>
Matching is another procedure for inference. In this process, the semantic net structure of the given sentence is compared with the structure of the semantic nets of known nodes, links, and values. The missing node in th query is matched with known structure and the answer is obtained by simple matching. The answer here corresponds to deduction of new fact.

>Merits of semantic net:

>semantic distance: the closeness of the concepts is measured by the number of nodes between the concept nodes. The lesser the number of nodes between the two concept nodes, the concepts in semantic net, the more will they be closer to each other.

>
Multiple inheritance: A node may have inherited properties from its different links coming from its upper level, which is called multiple inheritance. It gives rise to conflict when there is contrary information from different links.

>
Scooping: This deals with the problem of defining the scope of a quantified variable.

>
Demerits:

>Nodes are not independent. Example, in the classification problems such as birds(sparrow, parrot, peacock, pet, wild), the nodes originating from birds are not independent. Say parrot be pet, peacock be wild. In such situations, inadequacy is found in semantic net when there is interrelationships among the classified objects.

>
I read all of this and lots of other materials but that left me confused. The books is by RB mishra from phi.