Hello,
More of my philosophy about the essence of science and technology and more of my thoughts..
I am a white arab, and i think i am smart since i have also
invented many scalable algorithms and algorithms..
I think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, so i will ask the following philosophical question of:
What is the essence of science and what is the essence technology ?
I think that when you are smart and you use your fluid intelligence and use with it mathematics and such great precision and you invent with it a smart thing, it can be called hard science, but if you are genetically smart and you use your fluid
intelligence without such hard science, and only with soft science or not, and you invent a smart thing, it can be called technology, so the difference is that hard science uses mathematics and its great precision of mathematics and such great precision.
So i think that it is not only science that is important , but technology is also important, and for example in technology you can for example construct smartly an exception handling for real-time operating systems that uses Longjump() and SetJmp() that
you construct in x86 assembler and you use Linklists and the Thread-local storage , so that to avoid to dynamically allocate from the heap, and so that to understand more how i have constructed a Longjump() and SetJmp() in x64 assembler, so invite you to
read my following smart thoughts about preemptive and non-preemptive timesharing:
https://groups.google.com/g/alt.culture.morocco/c/JuC4jar661w
More of my philosophy about science and technology and more of my thoughts..
I think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, so you have just seen me talking about
how to be successful in business of software development, here is what
i have just said:
"And what i mean, it is that in the early period of software development, there was many things that you can invent or develop or create, but i think today it is different , since many softwares have been invented and created, and not only that, but
notice how many softwares are of high quality, and you have even to compete against open source etc., so i say that the competition is much stronger than the past."
So i think that you have to understand me more, what i am also saying
is i think that the important breakthroughs comes from science , not
from technology, and it is what makes technology much more interesting,
since i think that technology is based on science, it is why i think
that artificial intelligence and quantum computers and the following two inventions that will make logic gates thousands of times faster or a million times faster than those in existing computers are "among"
the "last" breakthroughs in science, read about them in my following thoughts of my philosophy about technology:
And i invite you to read my thoughts about technology here:
https://groups.google.com/g/soc.culture.usa/c/N_UxX3OECX4
And here is more about the constraints on science and technology so that to understand:
Is Science Going To End?
Read more here:
https://philosophynow.org/issues/68/Is_Science_Going_To_End
And read also the following
The Industrial Era Ended, and So Will the Digital Era
Read more here:
https://hbr.org/2018/07/the-industrial-era-ended-and-so-will-the-digital-era
More of my philosophy about the how to be successful in business of software development and more of my thoughts..
I think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, and as i have just said is the following:
"The Xerox Thieves: Steve Jobs & Bill Gates
https://www.youtube.com/watch?v=pQocN_c2uLI&t
I think i am discovering patterns with my fluid intelligence in the
above video, and i think that Bill Gates was successful with his Microsoft since it was the early period of software development,
and as i say in french: "Je pense que c'etait aussi une conjoncture"
, and it means in english: "I think that it was also a conjuncture", but
the most important factor of success in this conjuncture is the:
it was the early period of software development, but today it is
different."
And what i mean, it is that in the early period of software development, there was many things that you can invent or develop or create, but i think today it is different , since many softwares have been invented and created, and not only that, but
notice how many softwares are of high quality, and you have even to compete against open source etc., so i say that the competition is much stronger than the past, so reread my previous thoughts:
More of my philosophy about what are the successful technologies
and about the business model and more of my thoughts..
I think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, so i have just looked at the following video
of Bill Gates, and i invite you to look at it:
The Xerox Thieves: Steve Jobs & Bill Gates
https://www.youtube.com/watch?v=pQocN_c2uLI&t
I think i am discovering patterns with my fluid intelligence in the
above video, and i think that Bill Gates was successful with his Microsoft since it was the early period of software development,
and as i say in french: "Je pense que c'etait aussi une conjoncture"
, and it means in english: "I think that it was also a conjuncture", but
the most important factor of success in this conjuncture is the:
it was the early period of software development, but today it is
different, since you have to know where you have to invest in software development so that to be rich and successful, so i think that
for example if you invest in security like internet security and such, i think it is a really a good investment, also you have to invest in
software development that has a high return of investment,
and that means that the software has also to be expected to grow big
, and i think that so that to be successful in software development, the software that you develop has to also be of high quality, since there is a strong competition with open source etc. also notice that this requirement of being of high quality is
much more difficult to realize(it means to happen), so it is why i think that we have to think about other ways of doing in software development, such as for example to come with a new smart business plan that solves this problem, so i think that the
smart business plan is so important in business.
More of my philosophy about the German model and about quality and more of my thoughts..
I think i am highly smart since I have passed two certified IQ tests and i have scored above 115 IQ, so i will ask the following philosophical question of:
Why is Germany so successful in spite of least working hours?
So i think one of the most important factors are:
Of course the first factor is that Germany has good schools and vocational training - for everyone. This makes the average worker much more productive in terms of value add per hour.
And the second "really" important factor is the following:
It’s in the culture of Germany to focus on quality and being effective (all the way back to Martin Luther and his protestant work ethic)... Higher quality in every step of the chain leads to a massive reduction in defects and rework. This increases
everyone’s productivity. But notice that i am also speaking in my below thoughts about the other ways to increase productivity by being specialization etc., and the way of the German model to focus on quality and being effective by also focusing on
quality in every step of the chain that leads to a massive reduction in defects and rework, is also done by the following methodologies of quality control and Six Sigma etc., so read my following thoughts about them:
More of my philosophy about quality control and more of my thoughts..
I have just looked and understood quickly the following paper about SPC(Statistical process control):
https://owic.oregonstate.edu/sites/default/files/pubs/EM8733.pdf
I think i am highly smart, but i think that the above paper doesn't speak about the fact that you can apply the central limit theorem as following:
The central limit theorem states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large enough.
Also the above paper doesn't speak about the following very important things:
And I have quickly understood quality control with SPC(Statistical process control) and i have just discovered a smart pattern with my fluid intelligence and it is that with SPC(Statistical process control) we can debug the process, like in software
programming, by looking at its variability, so if the variability doesn't follow a normal distribution, so it means that there are defects in the process, and we say that there is special causes that causes those defects, and if the variability follows a
normal distribution, we say that the process is stable and it has only common causes, and it means that we can control it much more easily by looking at the control charts that permit to debug and control the variability by for example changing the
machines or robots and looking at the control charts and measuring again with the control charts
More of my philosophy about the Post Graduate Program on lean Six Sigma and more..
More of my philosophy about Six Sigma and more..
I think i am smart, and now i will talk more about Six Sigma
since i have just talked about SPC(Statistical quality control), so
you have to know that Six Sigma needs to fulfill the following steps:
1- Define the project goals and customer (external and internal)
deliverables.
2- Control future performance so improved process doesn't degrade.
3- Measure the process so that to determine current performance and
quantify the problem.
4- Analyze and determine the root cause(s) of the defects.
5- Improve the process by eliminating the defects.
And you have to know that those steps are also important steps toward attaining ISO 9000 certification, and notice that you can use SPC(Statistical process control) and the control charts on step [4] and step [5] above.
Other than that i have just read the following interesting important paper about SPC(Statistical process control) that explains all the process of SPC(Statistical process control), so i invite you to read it
carefully:
https://owic.oregonstate.edu/sites/default/files/pubs/EM8733.pdf
So as you notice in the above paper that the central limit theorem
in mathematics is so important, but notice carefully that the necessary and important condition so that the central limit theorem works is that you have to use independent and random variables, and notice in the above paper that you have to do two things
and it's that you have to reduce or eliminate the defects and you have to control the "variability" of the defects, and this is why the paper is talking about how to construct a control chart. Other than that the central limit theorem is not only related
to SPC(Statistical process control), but it is also related to PERT and my PERT++ software project below, and notice that in my software project below that is called PERT++, i have provided you with two ways of how to estimate the critical path, first,
by the way of CPM(Critical Path Method) that shows all the arcs of the estimate of the critical path, and the second way is by the way of the central limit theorem by using the inverse normal distribution function, and you have to provide my software
project that is called PERT++ with three types of estimates that are the following:
Optimistic time - generally the shortest time in which the activity
can be completed. It is common practice to specify optimistic times
to be three standard deviations from the mean so that there is
approximately a 1% chance that the activity will be completed within
the optimistic time.
Most likely time - the completion time having the highest
probability. Note that this time is different from the expected time.
Pessimistic time - the longest time that an activity might require. Three standard deviations from the mean is commonly used for the pessimistic time.
And you can download my PERT++ from reading my following below thoughts:
More of my philosophy about the central limit theorem and about my PERT++ and more..
The central limit theorem states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large enough.
How large is "large enough"?
In practice, some statisticians say that a sample size of 30 is large enough when the population distribution is roughly bell-shaped. Others recommend a sample size of at least 40. But if the original population is distinctly not normal (e.g., is badly
skewed, has multiple peaks, and/or has outliers), researchers like the sample size to be even larger. So i invite you to read my following thoughts about my software
project that is called PERT++, and notice that the PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) because the duration of some or all of the arcs are independent random variables with known probability
distribution functions, and have finite ranges. So PERT uses the central limit theorem (CLT) to find the expected project duration.
And as you are noticing this Central Limit Theorem is also so important
for quality control, read the following to notice it(I also understood Statistical Process Control (SPC)):
An Introduction to Statistical Process Control (SPC)
https://www.engineering.com/AdvancedManufacturing/ArticleID/19494/An-Introduction-to-Statistical-Process-Control-SPC.aspx
Also PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) because the duration of some or all of the arcs are independent random variables with known probability distribution functions, and have finite ranges. So
PERT uses the central limit theorem (CLT) to find the expected project duration.
So, i have designed and implemented my PERT++ that that is important for quality, please read about it and download it from my website here:
https://sites.google.com/site/scalable68/pert-an-enhanced-edition-of-the-program-or-project-evaluation-and-review-technique-that-includes-statistical-pert-in-delphi-and-freepascal
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So I have provided you in my PERT++ with the following functions:
function NormalDistA (const Mean, StdDev, AVal, BVal: Extended): Single;
function NormalDistP (const Mean, StdDev, AVal: Extended): Single;
function InvNormalDist(const Mean, StdDev, PVal: Extended; const Less: Boolean): Extended;
For NormalDistA() or NormalDistP(), you pass the best estimate of completion time to Mean, and you pass the critical path standard deviation to StdDev, and you will get the probability of the value Aval or the probability between the values of Aval and
Bval.
For InvNormalDist(), you pass the best estimate of completion time to Mean, and you pass the critical path standard deviation to StdDev, and you will get the length of the critical path of the probability PVal, and when Less is TRUE, you will obtain a
cumulative distribution.
So as you are noticing from my above thoughts that since PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) becaus