test | - | Guard System (digital) | Attack System (physical) | | ---------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | e.g. of man | Angel [Michael](https://en.wikipedia.org/wiki/Michael_(archangel)) asks "what is it that you fear?", White hacker | Devil [Lucifer](https://en.wikipedia.org/wiki/Lucifer) asks "what is it that you desire?", Black hacker | | e.g. of machine | Shield, Time, Red fiber muscle (aerobic, fatigue-tolerant) | Spear, Space, White fiber muscle (anaerobic, rapid use) | | e.g. of material | Water (Long time, Potential, high latent heat, hydrogen bond) | Fire (Short time, Ignition, Energy space), | | e.g. of information | Cyber-security, Privacy, Fairness, Sustainability | Hacking, Phishing, Discrimination, | | e.g. of energy | Renewable energy | Non-renewable energy | | synonym | Prevention, Defense | Promotion, Offense | | objective function | minimize the cost | maximize the benefit | | Goal | Sustain, Stable, Negative-loop dominant | Subvert, Non-stable, Positive-loop dominant, Path-dependence | | interconnectedness | dense connection, high causal density | sparse connection | | time horizon | long term, noise-free (aggregated to 0) | short term, noise-dependent | | difficulty | proving non-existence is harder, nobody gets credit for something that didn't happen | | | math symbol | $\forall$ | $\exists$ | | uncertainty | fight with the `unknown` (=its complement = nature) | fight with the `known` | | statistical support | uniformity test like SBC (computationally heavy) | | | process | ![[Pasted image 20240305130419.png\|300]] | ![[Pasted image 20240305130400.png\|150]] | | production direction | additive manufacturing (row generation; adding variables; approximation from inside)<br>![[Pasted image 20240305125833.png\|200]] | subtractive manufacturing (column generation; adding constrains; approximation from inside)<br>![[Pasted image 20240305125845.png]]<br> | | cut generation | ![[Pasted image 20240305130048.png]] | ![[Pasted image 20240305130102.png]] | | testing | ![[Pasted image 20240305130134.png]] | ![[Pasted image 20240305130124.png]] | | |  |  | | supply chain | ![[Pasted image 20240305132347.png\|300]] | | | | flow q | density k | | evaluator | internal agent (e.g. how many cars around me, in the traffic jam), perception, hard to be averaged, phenomena, goal, road performance (Q. do we want to minimize perception or absolute value) | external agent (e.g. how many cars for unit time, in the traffic jam), measurement | | | space weighted $w_m = \frac{T(x) d x}{\int_{x_1}^{x_2} T(x) d x} , q= \sum q_m{w_m}$, slowly moving agent has larger weight as they take longer time for unit space (s/m) | $w_m = \frac{L(t)}{\int_{t_1}^{t_2} L(t) dt},k= \sum k_m{w_m}$, fast moving agent has larger weight as they take longer space for unit time (m/s) | | unit | agent/s | agent/m | | convergence direction | column generation (constraints are understandability/acceptance measurements become precise, more theories are falsified) | row generation (constraints are measurements; as measurements become precise, more theories are falsified) | | speed | space mean speed (>time mean speed) | time mean speed (> space mean speed is harmonic) | | measurement | instantaneous photograph at time $t_0$ $\frac{\partial N(t,x)}{\partial t}\|t=t_0$ | observation from a fixed location duration T $\frac{\partial N(t,x)}{\partial x}\|x=x_0$ | | | | k2q(k) = global2local = ($\frac{EX}{2} + \frac{EX}{2 \sigma^2}$) + V\|W\|) | | connection with inspection paradox | | W: length of inter-arrival gap entered by rider (intermediate variable)<br>V: time from <br>V\|W: E[V\|W] = W/2, W\|X: <br><br>![[Pasted image 20240306084226.png \|300]] |