Monday, February 3, 2014

Random Simulator Stuff

• characteristic plots (when precision planning a design such might become handy)


• checking the spice credibility (notice the 15n(s) minimum timestep)


side note: i had my µ$XP-crash @ that point (memory allocation problems ? buy a new problem (ups!) Windows ? - some people never take their job seriously - some things never change) -- so here we can generalize :: Everything "WORKS" as long as you start working (if you want to avoid that phenomena - build your own computer and write your own software - and this is not a joke ... #!!/!//(#"!!"))//"&!#(/%"!~ .... it'll take 2-y to build +3y to test-tune ?? perhaps it's worth it -- someone can't constantly spoil your day)


it's interesting that FF and IE require 100% of CPU to display the above script while Opera gets it done with 74% of CPU . . . however the offline display uses some 3-rd of that (there is no data updates from server required to display this -- the question is :: what demands 3x more =300% resource for online view of basically static web page ??? humane stupidity)


i ran some statistics :: it apares that the CPU Load v. Power Consumption has near linear dependency
namely P(W) = 117.5 Q(%) +187.1 such as
for 100%CPU we get 117.5×1 + 187.1 = 304.6 W
and for 74%CPU it's 117.5×0.74 + 187.1 = 274.05 W
 the ΔP = P100% - P74% = 304.6 - 274.05 = 30.55 W
13202 Mtoe 153539.26 TWh -- the year 2013 world's total annual energy production
(20407 TWh) 52325.64103 TWh -- (energy distributed as electricity) the amount of energy to produce it
34% -- the electricity part of annual energy budget
39% -- the efficiency of thermal power plant
39% -- part of world population that use internet
7100000000 -- number of Terraneans
8000000000 -- check number = 2000³
50% -- statistical nonsense -- speculating the even distribution IE=+FF : Chrome=+Opera of users
20% -- statistical simplification !! -- internet users that read blogs (there are 5 mind types)
30.54720758 -- ΔP Watts of Power
0.367879441 -- voluntary correction coefficient for next = Exp(-1) already included
6% -- statistical simplification !! -- average part of a day for a blog reader to chk the updates
39%6%50%20% -- target group · part of a day = q
10 -- q·ΔP as part per billion units of energy used for annual electric/distributed power production
:: in other words it's not a big deal that some browsers set the PC to use more power than others with respect to world's energy budget

however ::
1 Ah -- speculative capacity of the cell phones battery
0.1 A -- speculative charge current = 100mA
80% -- speculative AC to DC to Li-ion conversion efficiency
5.25 Wh -- apx. Max. amount of energy required to load your phones battery
45 Wh -- how much energy the "blog reader" wastes/saves per day
8.562 -- how many times the cell phone can be loaded with that energy

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. . . i guess it apx. has a post's length
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