DC motors have high inductance, meaning that the current going over it will resist to change. When you turn off a pair of nmos, current will likely start flowing over the the other pair, from source to drain. Depending on the spec of your nmos, you may consider using diodes in parallel to nmos to carry this current. Obviously these diodes should be reverse biased during normal operation.
As you said before power on capacitor is discharged. Right after power on capacitor is still discharged, so voltage on capacitor is zero, so reset pin has Vcc. With time capacitor gets charges and voltage across capacitor increases and reset voltage becomes closer and closer to ground, until it is ground. But it is important to consider what happens at power down too. At power down capacitor is charged. If power source becomes high impedance at power down, then reset pin will probably go down to zero in time but may take a bit time depending on what source exactly does. But if power source is connected to zero at power down reset pin will observe minus vcc and slowly go up to 0. If reset pin is sensitive it may be a good idea to protect it with a diode.
Leakage resistance also contributes to dissipation factor and the simple formula omits this, that is why ESR calculated from dissipation factor is larger. As you said, if one is more interested in heat generated, dissipation factor is more important (leakage also dissipates power). If interested in the decoupling and filter performance of the capacitor, ESR is more important. And all these depend on temperature and capacitor bias voltage as well :)
I don’t think this will work well and others already explained why, but thanks for using this community to pitch your idea. We should have more of these discussions here rather than CEO news and tech gossip.
Is this an AOE2 reference or is it historically correct? I knew I should not have learnt history from games.
Pointing out won’t do, we need moderation.
It may be early for crunchy leaves. Marinade them for another month for perfect crunchiness.
Thanks for not putting the paper behind a paywall!
In this article RTL refers to register transfer level. It is a way of describing hardware on very low level, it uses registers for memory (which usually translates to flip-flops when/if synthesized), wires, basic arithmetic and logic operations, but terminology may slightly change based on which rtl language is being used. It can be used to design a CPU, or any ASIC (application specific integrated circuit) chip. Instructions may resemble to processor instructions, but the end result is fundamentally different. You may run a set of instructions on a processor, while what rtl describes is often synthesized and becomes the hardware itself which performs the operations (e.g. arithmetic logic unit in the cpu).
That could actually be useful (IBD gang)
Covid advice was simple, people understood it but many didn’t comply because they didn’t find it convenient. There were also covid-deniers, and people who significantly underestimated it. There were people who found corporate cyber security measures inconvenient too in the places I worked, but ignorance was I think always the more important reason.
I also think it isn’t enough for the advice to be simple, it should be somewhat easy to apply. “Don’t fall into phishing emails”. Sure, but how? Then it lists a bunch of tricks and hints and people can rarely remember all, and apply while they go through tens of emails daily. I think this is the message from the article.
Reminds me of https://rationalwiki.org/wiki/Toupee_fallacy
I agree that AI can decimate workforce. My point is, other tools did that already and this is not unique to AI. Imagine electronic chip design. Transistor was invented in 40s and it was a giant tube. Today we have chips with billions of transistors. Initially people were designing circuits on transistor level, then register transfer level languages got invented and added a layer of abstraction. Today we even have high level synthesis languages which converts C to a gatelist. And consider the backend, this gate list is routed into physical transistors in a way that timing is met, clocks are distributed in balance, signal and power integrity are preserved, heat is removed etc. Considering there are billions of transistors and no single unique way of connecting them, tool gets creative and comes with a solution among virtually infinite possibilities which satisfy your specification. You have to tell the tool what you need, and give some guidance occasionally, but what it does is incredible, creative, and wouldn’t be possible if you gathered all engineers in the world and make them focus on a single complex chip without tools’ help. So they have been taking engineers’ jobs for decades, but what happened so far is that industry grew together with automation. If we reach the limits of demand, or physical limitations of technology, or people cannot adapt to the development of the tools fast enough by updating their job description and skillset, then decimation of the workforce happens. But this isn’t unique to AI.
I am not against regulating AI, I am just saying what I think will happen. Offloading all work to AI and getting UBI would be nice, but I don’t see that happening in near future.
Using automation tools isn’t something new in engineering. One can claim that as long as a person is involved and guiding/manipulating the tool, it can be copyrighted. I am sure laws will catch up as usage of AI becomes mainstream in the industry.
Don’t be so hard on them, Australia is spot on.
Hold a small piece of metal (paper clip?) between solder pads with a tweezer. Heat up tip of a metal fork/spoon (Sharp edge of fork could work better) on a stove. Take it from stove and use it immediately to melt the solder on one pad (seems like there is already enough solder there). I am not sure if it would work but maybe worth trying. Heating entire fork could be hard, so maybe something with smaller metal mass could work better, like a screwdriver, nail clipper etc).