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How to govern principles
Author: Said Mchaalia
Abstract:
The science advances and is away to be aware of gathering discovering true right database
information in several disciplines although in the field of consume commerce and calculation of
capital-owner ratios. Thus, ratio mechanism calculation is hard thread-task within any commercial
event activity. Hence, the ahead reference of any commercial event activity is awoken richness to be
aware of ratio processing analysis and calculations.
In fact, this how to govern principles paper illustrates ideas and kernel motor flows of processing
analysis and calculation of any ratio value within any commercial event activity. Then the
modeling-simulation information theory is the basic logic influence system inside such any
commercial event activity.
Therefore, this how to govern principles evolves overviews and viewpoints for thread-tasks of
model insights within any gathering discovering simulation theory of commercial event activities.
Keywords:
ratio mechanism, commercial event activities, mathematical buy-sell calculus.
1. Introduction:
In nowadays, gathering discovering simulation aspects are primordial main thread-tasks for
manipulations of commercial event activities. Any entity inside commercial event activity would be
depicted inside programmable control data flow graphs.
In fact, programmable control data flow graphs like Petri nets and similar control data flow graphs
have nodes, edges, and transitions and always keymotor flows, which identify the communication
of any control data flow graph with whose envisaged environment dynamism. Thereby, nodes are
arithmetic and or logic operation representations, edge are data values better in binary
representations and transitions are interruptions within any following functionalism fabrication
flow.
Furthermore buy-sell cell during following functionalism fabrication flows is selfish set of many
involving nodes, edges, transitions (event occurrences) and keymotor flows, whereby it starts with
the definition of destination aim of whose envisaged environment dynamism. The included step-by-
step flows are control edges within these thread-tasks.
This paper is organized as follows; first of all an overview of commercial mathematical
functionalism will be given, next a small introduction description of discrete event simulation will
be illustrated.
2. Commercial mathematical functionalism overviews:
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Through my works in such branch fields and disciplines, an abstract table review shown in
table 1, concludes the useful modeling-simulation mathematical description functions.
Functions Characteristics Utilities
sin (x)x
boundary function for all values
of x inside real space setIR.
lab experiment usages and precious effect
result investigations.
(sin(x))2 boundary function for all valuesof x inside real space setIR.
involving within Gaussian modulation inside
wireless digital transmission such cellular
phones, digital terrestrial TVs and co.
f(x )
e j
(2+2)
characterizing the fast descent
to null when the calculated
inside phase is growing
gradually to infinite values.
most around used when the defined phase is
less than eighth of one tour.
tan (X(space , time))characterizing the fast fading to
infinity when the calculated
insideX(space, time) is growing
gradually to fourth tour values.
supra high frequency modulation branch
fields.
x
log10(1
x)
boundary function for all
values of x. Notice that:
learning mechanisms based on error
feedback calculus.
Table 1: basic mathematical functions within ratio calculation
inside commercial event activities.
Table 1 shows commercial mathematical functionalism overviews, which are involving within any
commercial most around event activity. Thereby, the following description function (sin (x))2
function of any buy-sell cell during following functionalism fabrication flow is an identification of
old Gaussian representation. This identification depicts any fuzzy proceeding processing analysis
within any following functionalism fabrication flow. The just language usage of such a (sin (x))2
function consists to flow the origin of coordination system (the intersection of x-axis and y-axis,
which are two perpendicular straight lines) during any proceeding processing through x-axis. The
values engendered by this (sin (x))2 function are nulls (zeros) for the boundary values and
maximum for the middle average of considered segment [a, b] such that [a ,b] , thussin
2(a )=0a=0 and hence sin2(b)=0b=pi /pi=3.14 .
Although (sin (a+b2
))2
=1 a+b2
= pi2
. Therefore, the (sin (x))2 function owes magnitude level
variation inside proceeding processing analysis within any stochastic systems.
The (sin (x))2 function has the most around measurement ability to depict any current data edge
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flow inside control data flow graphs. Figure 1 shows a control data flow graph whereby current
data edge {(time_event, value_event)} could be basically mathematically modeled by (sin (x))2
function such that x=x(t)/ t=time event and valueevent=(sin(x))2 .
Figure 1: an example of original primordial representation of control data flow graph.
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Figure 1 shows an example of original primordial representation of control data flow graph, which
could have been shown in figure 2.
Figure 2: an example of original primordial representation of control data flow graph
wherebysin2 () is used as data edge following flow measurement value.
Figure 2 shows an example of original primordial representation of control data flow graph,
wherebysin2 () is used as data edge following flow measurement value ({(up-stairs, down-stairs)}
measurement principles but movable measurement quantity in time or exactly similarly within x-
axis).
Figure 3 shows the measurable physicalamount or degree of strength of electricity or similar
physics field parameter, such that velocity, power, weight, force, distance, light, heat, or sound per
unit area or volume.
In review abstract of how to measure principles, the measurable physical amount is a variation
level of whose magnitude level (up-stairs, down-stairs basic logic influence system) during
modeling and simulation proceeding processing analysis.
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Figure 3:sin2(f(t)) variation level within any waveform.
Figure 3 illustratessin2(f(t)) variation level within any waveform. This variation level could be
therefore used in digital data encoding. For each variation level a binary value would be whose
signal assignment. Hence, included intensities within any waveform depict measurable signal
variation levels for example voltages levels such -100 volts to 100 volts or amperes levels such -20
ampere to 20 amperes and other kind of measurable quantities involving intensities, which are states
or qualities of being intense.
Furthermore, x
log10(1
x) function is error proceeding processing analysis, whereby
limx0 [x
log10(1
x)] could be easy defined as null (as reference mathematical theory of data
transmission of Shannon in 1948). In neural network and fuzzy proceeding processing theories, the
x
log10(1
x) function illustrates the kernel motor flow of learning and error correction
mechanisms. As Shannon did define the inside variablex within the proposal x
log10(1
x) to be
involving in [0 1] such that x[0,1] . Therefore, this inside variable x could be then equal to
the right measurable quantities, which are x=(sin( f(t)))2 or x=sin(f(t))
f(t)where t=timeevent
during proceeding processing of any commercial event activity. On the other hand the
limx0sin (x)
x=0 and this function is constraint boundary function such that: 0
sin(x)x
1 .
Therefore, after the above definition of the inside variable x, the function x
log10(1
x) could be
also used to achieve the modeling and simulation of instantaneous data transmission.
5
-1.5
-1
-0.5
0
0.5
1
1.5
square(sin(.))usedwitinamplitudemodulation
time
intensity
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In fact, the tan (X(time , space )) function and X( time , space)
e j
(2+2 ) function are used to
model magnitude variation levels, whereby magnitude variation levels could be up-stairs and down-
stairs dynamism mechanisms or negative and positive values. Hence, the invisible Satan of
commercial event activity is:
Event activity Event attributes Event state
project occurrence in order to
have whose effect and whose
judgment.
project judgment rising edges;
income fades always to
gradually grow as at least in log-
format.
project effect is set of following
variables, which are ready to be awoken
to be aware of result, instantaneous
alive active in processing production,
erroneous learning functionalism to be
away to boarding forecast.
project modeling-simulation
and inside calculations.mathematical models choices
and inline simulation processing
analysis.
to anticipate both worried and
hopeful project effect sides'
happening.
arrangement mechanism of
project environment.
Thinking up mechanisms to make
decision most around inside system
environments.
invention or devising and other art actsallowing preceding processing analysis
(proceeds).
project reached-conclusion. resolve whose basic logic influence
systems.
compile-compute-conclude aspect
analysis.
project discussion development think of project occurrence again. meaningful illustration measurement.
Table 2: commercial event activity description.
Table 2 describes commercial even activities and its entities involving ratio commerce
calculations.
3. Discrete event dynamism and aspects:
Discrete event dynamism engenders event occurrence, event activity, event attribute, event
state and event environment. Discrete event aspects are the instantaneous outward
appearances, which should be associated with it dynamism.
Indeed, this dynamism is unknown effect analysis; fuzzy or similar analysis start from true
right sources engendering gathering database information over event occurrences. Hence,
analysis of inside instruction introduction of event occurrence processing and its real
viewpoint illustration.
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- event occurrence: what does it happen instantaneously right now?
- event activity: what is it going on currently live?
- event attribute: which property is characterizing this event occurrence?
- event state: why is it so depicted?
- event environment: how much time does event occurrence need to be faded?
As modeling and simulation of discrete event simulation; computer start up. The first event
occurrence is power on at 00.00.00 o'clock local time. For such a reason, a synchronized
event clock is required. This timer should be locally global reference. After few seconds
time, the core processing unit is searching to load the operating system into the read access
memory (RAM). Therefore, the next event occurrence and so on. In details of modeling and
simulation, a list of couples (timeevent, valueevent) would be involved within this simulation
processing analysis.
Timelocally set as global. Event Description
00.00.00 o'clock within local timer.power on.
in this event occurrence, a quantity ofelectrical signal in volts would be
transferred to core processing unit.
00.00.08 o'clock within local timer.basic input output system interrupting.
in this event occurrence, a quantity ofelectrical current in Amperes would be
exchanged between the bios and itsinput output devices.
00.00.30 o'clock within local timer.searching to load operating system into
read access memory.
in this event occurrence, a quantity of
electrical current in Amperes would beexchanged between core processing
unit and its inter-components.
00.01.00 o'clock within local timer.computer is ready for further usage.
in this event occurrence, a quantity of
electrical current in Amperes would beexchanged between core processing
unit and computer input output devices,which are LCD display, mouse,
keyboard, printer and so on.
Table 3: Example of discrete event simulation.
Table 3 illustrates an example of discrete event simulation list. The main task in this
modeling simulation processing analysis is to identify event values for each time value
because the timer is set to be locally global. In details of modeling and simulation, a list of
couples (timeevent, valueevent) would be involved within this simulation processing analysis.
For this example, the envisaged list is so; {(00.00.00, power on), (00.00.08, interrupt bios),
(00.00.30, searching OS), (00.01.00, starting PC)}.
To fill in the requirement of the exactly true right definition of discrete event simulation,
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counting processing of the number of years should be involved within any modeling and
simulation inside discrete event simulation. In fact, the start of year is the birthday of the
first month in every year. Hereby, event occurrence is the birthday of the first month. Hence,
event activity is add(month's birthday,one day), which means processing increment of each
month's birthday in order to finalize one complete month counting, so the second month andso on. Furthermore, event attribute is characteristics within each event. Herewith, the
envisaged event is the counting of the number of years. Therefore, event attribute is an
account identification of each month. This account identification is the most significant
number of days within each month. For example December's account identification is thirty
one days. Moreover, event state is collection of variable and signals, which describe the
behavior inside a system. In fact, the start of month and its end are two primordial event
states involved within each counting processing of the number of years. Although, the main
original event states accomplished within this counting processing are the start and the end
of year identifications. On the other hand, those event states define the boundaries of year's
number counting processing, which is the envisaged system to model and simulate.
4. How to govern principles details:
4.1. Introduction:
To perform a hyper task or thread, it is necessary to declare quantities, which should be
integrated within those tasks and threads. Indeed, those quantities have to be measured. This
measurement way is a hard way to have been understood, because tools and methodologies
of technique networking are presented to be clean and clear explained.
4.2. Liberty uniform-unity description:
Liberty uniform-unity is fabricator learning following function flows. Thus, fabricator
learning makes instantaneous filter designs (similarly as electrical resistor-capacitor filter
design shown in figure 1.) of gathering discovering database inside burrowing civilizations
in order to delete any judas effect, whereby one human person or invisible Satan effect that
betrays another human person under the guise of friendship.
Liberty uniform-unity principles engender alive active inside boundary constraints
proceeding processing, whereby the analysis of those boundary constraints are binding over
system environment dynamism.
In fact, similarly to electrical filter designs, the environment dynamism is a thread-task
measurement calculation within any step forward of spiritual model-simulation design.
Thus, spiritual model-simulation design is real ware to haven been achieved.
Hence, liberty uniform-unity is inward concerning commercial event activity. Therefore,
commercial event activity is environment dynamism within general purpose constraint
equations, which depict model-simulation design.
Although those constraint equation are mathematical following description functions of any
model-simulation design.
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Indeed, the original main sufficient suitable measurement array of those constraint equations
is enveloped within the primordiality of resolve basic logic influence systems.
The primordiality of resolve basic logic influence systems consist first of all to identifythe basic logic influence systems inside any environment dynamism.
For burrowing civilizations, the basic logic influence systems are seductions and lures.
However, environment dynamism includes proofs for the primordiality of resolve basic
logic influences system. Thus, those proofs are learning cultures inside any burrowing
civilization, whereby the motor flow of this learning culture is the mind aspect of each entity
inside the environment dynamism.
In fact similarly to figure 4, each mind aspect is dynamic mechanism of on-demand power
and onwards instantaneous powerless like charges and discharge of capacitor depicted
within figure 1. Furthermore, the on-demand power is learning following function flows,which are organization flows of several synchronized to civilization op-codes shown in
figure 0. In this figure, the data coming inside the proceeding processing latch is op-codes,
which are text lines defining the role and rules of each entity inside this environment
dynamism. These text lines are hence incoming data op-codes. The next input of the
proceeding processing latch is the couples (timeevent, valueevent) of continuous language such
that dates and indexing signs of op-codes. As example;
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=> 2012 August 12th,op-code 1: liberty of believing, clothes, eats, drinks, study, and
all other individual threads and tasks such making loves, cinema visiting and so on.
=> 2012 August 12th,op-code 2: medical examination should be free for all whose
income is less than the income limit declaration.
=> 2012 August 12th,op-code 3: obligation of government head to be awoken to
deliver social aids including free health cares for without job people inside
environment dynamism.
=> 2012 August 12th,op-code 4: obligation of government head to be awoken to
allow people children inside environment dynamism to finish first language, naturescience and math schools.
=> 2012 August 12th,op-code 5: obligation of government head to be awoken to help
people children inside environment dynamism to finish high study level and
similarly.
=> 2012 August 12th,op-code 6: obligation of government head to be awoken to
ensure security anywhere of people inside environment dynamism to finish their
jobs and other affairs away.
=> 2012 August 12th,op-code 7: obligation of government head to be awoken to be
aware of human desires of hyperminds during current lives and lives after death for
all kinds of people inside environment dynamism not only but also to zoom within
culture communication exchanges (Arabic language background learning to under
stand high holy Quran, whom is the secure sure sophistical secret system sign
superpower), for time to time through media centers.
Table 4: some synchronized op-codes for neutralism investigations.
Table 4 represents some synchronizations of civilization op-codes inside any environment
dynamism.
4.3. Economy background inside environment dynamism:
The economy background is based on the commercial op-codes. On the other hand op-codes
of buy-sell during following functionalism fabrication flows. Those op-codes could be
reviewed within the following table, table reference 5. Concerning accomplished account is
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incoming money for any commercial event activity or from any buy-sell cell during
following functionalism fabrication flows. The incoming money volume is function of the
efficiency effects evolved inside buy-sell cell during following functionalism fabrication
flows. Ratios is alive active parameter for precious awoken inside calculations.
Therefore, ahead owns mechanism environment is the environment whereby the firstbuilding of any buy-sell cell during following functionalism fabrication flow would be built.
For any civilization, the ahead culture environment is basic background gathering
discovering information database whereby the kernel motor flows are legacy rules inside
their environment dynamism.
In fact ahead state environment is depicting economy situation for any environment
dynamism. This ahead state environment is functional thread-task for the invention
development for any buy-sell cell during following functionalism fabrication flows.
The measurement ability of any inventor and founder of commercial event activity
represents the primordial principal role inside any society development.
Thus basic logic influence system inside any buy-sell cell during following functionalism
fabrication flow is the ahead hand job working environment. The spiritual thread-tasks ofsuch environment dynamism, ahead hand job working environment, is important functional
entity state inside any system environment development.
Hence the ahead reference for any buy-sell cell during following functionalism fabrication
flow is commercial ideas inventor. Furthermore this ahead reference if following foundation
of any economic dynamism mechanism within society development. During following
functionalism fabrication flows, ahead reference ideas are alive active flowering motor
flows.
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Commercial volume inside economy background ratio to be selfish oneself owner
concerning accomplished account = XXvolume
1
5XXvolume :
for ahead mechanism-owns environment.
1
5
[XXvolume
1
5XXvolume ]=
4
25XXvolume :
for ahead culture environments
1
5
[XXvolume
1
5
XXvolume]=4
25
XXvolume :
for ahead state environment.
1
5
[XXvolume
1
5XXvolume]=
4
25XXvolume :
for ahead worker environment.
1
5
[XXvolume
1
5XXvolume]=
4
25XXvolume :
for ahead family environment.
251625
XXvolume=9
25XXvolume :
for ahead reference.
dynamic buy-sell organization achievement = BSvolume
operation ratio:buy
sell
gain ratio: 425
buyratio buy15
buy
tax ratio:1
10buytax ratio
1
5buy
Table 5: ratio calculation presentation.
Table 5 depicts the ratio calculation of any incoming money inside any commercial event activity.
Hence the environment dynamism of ratio calculation mechanism is based on the following
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probabilities which are:
-1
5of any incoming money should be awake to the head mechanism-owns environment, whereby be
awake to be aware of your individual desires and wishes; which are mosque construction, clean clear scienceinvestigation building, nice slim style looks, elegant cloche choices, spending money for poor people and co.
-4
25of any incoming money after subtraction of the first ratio defined above (
1
5of any incoming
money) is motor flows for four art types of environment dynamism. These four art types are such ahead
culture environments, ahead state environment, ahead work environmentand
ahead family environment. Ahead culture environment involves phenomena observations of basic logic
influence systems. Whereby ahead work environment involves hand job workers and co within any buy-sell
cell during following functionalism fabrication flow. Although, ahead family environment involves the staff
of any buy-sell cell during following functionalism fabrication flows. Thus, ahead state environment
involves the reserved money for correction and enlargement within any buy-sell cell during following
functionalism fabrication flows.
-9
25of any incoming money after subtraction of the first ratio defined above (
1
5of any incoming
money) should be served for the ahead reference inside any buy-sell cell during following functionalism
fabrication flows. This ahead reference could be the founder and the inventor development of any buy-sell
cell during following functionalism fabrication flows. Indeed during following functionalism fabrication
flows, ahead reference has the measurement ability to improve; production time inside any buy-sell
proceeding processing, cleaning spiritual characteristics of any entity within the ahead hand job working
environment, organization hyper thread-tasks between the ahead family environment, which represents the
working staff inside any buy-sell cell during following functionalism fabrication flows. Furthermore, his
primordial main original theoretical thread-task is gathering incoming data within event occurrences during
following functionalism fabrication flows.
Figure 0 illustrates the mind aspect of measurement ability inside proceeding processing analysis for any
environment dynamism during following functionalism fabrication flows. Therefore, the incoming data
could be any entity inside any money organization algorithm. The couples {(timeevent, valueevent)} grounded to
discrete event simulation token based synchronization views over the reference background axis for any
commercial event activity. This reference back axis is the time equivalence inside any modeling-simulation
proceeding processing for digital verification and other similar invention development such a consume
electronic production proceeding, a cloche production processing, an oil production dynamism, a food
production mechanism and others.
In fact, as define within figure 0, the inside data edge, which contribute within database flows are the make
data edge and the neutralism data edge.
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Figure 4: mind aspect measurement array proceeding processing analysis.
Figure 4 illustrates the mind aspect of measurement ability inside proceeding processing analysis
for any environment dynamism. Furthermore, figure 0 represents nodes and edges functionalism
inside any buy-sell cell during following functionalism fabrication flows.
On the other hand, similarly to the proceeding processing motor flows of inside ideas, the filtering of
databases within any electrical circuit could be envisage just to put out reference ideas on resolve basic logic
influence system during following functionalism fabrication flows.
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Figure 5: resistor-capacitor filter response circuit.
Figure 5, presents resistor-capacitor filter response circuit. This circuit has as input edge the
current flows, which could be measured either using coulomb or Ampere, then two
principally elementary components that capacitorCmeasured in Farads, and resistorR
measured in Ohm. Finally, this circuit has an output node, which deliver instantaneous
voltages depicted byFigure 6.
Figure 6: e0.8x2xpxfxt
waveform inside modeling simulation processing analysis
within digital data transmission-reception-absorption process.
Figure 6depicts the exact waveform of resistor-capacitor filter most around used in digital
data processing analysis. The charging of the capacitor depicts the holding value to be stored
and the discharge depicts the nil values within the simulation. Grounded to this detail, the
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[exp(.)]wave-formmodelingsimlationprocessing[exp(.)]wave-formmodelingsimlationprocessing
time
magnitude
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analog to digital conversion processing could be easy deduced by magnitude values
throughout resistor value variations. As realization example, a resistor value variation from
10 Ohms to 100 Mega Ohms could be used in such a task realization.
In fact, the above resistor value variation, could be computed in modeling simulation
processing analysis as mathematical power function of two chosen functions such that thefunction depicted by figure 2 and a function, which could better used in modulation such
that sin2(.) , or others defined in table 1.Figure 3 shows the waveform depicted by the mathematical function [sin ( .)] .e(.) . Within
this mathematical function the magnitude change values indicates the resistor value
variations for resistor-capacitor filter. The nil values indicates the logic false and the summit
magnitude value indicates the logic true. The between value variation determines the fuzzy
logic processing analysis. Notice the original frequency within this waveform is the ratio of
one to the interval time separating two successive magnitude summit values. This frequency
is measured in Hertz (unit isHz). So, varying resistor values allows magnitude variations of
output node. This produces a frequency variation inside the envisaged circuit. For
equivalence task, an inductor could be involved. Therefore, the new circuit would bedepicted with inductor-capacitor circuit. The inside circuit frequency could be measured
throughout this mathematical formula; L.C.4.p2 . f2=1 , wherep is a ratio of 314 to 100,
andfis the frequency to be calculated. The frequency calculation is background variations
ofL when Cis constant or vice versus or together varying in time. Therefore, the frequency
is a ratio of 1 to 2.pL.C . In fact, when wanting to set the frequency to its highest
possible value, the inductanceL and the capacitance C, should be less as they could be. As
example for given values ofC = 1 micro Farads, andL = 1 micro Henry, the frequency is
then equal to about 159.23 Hz.
Figure 7: waveform within modulation and modeling-simulation processing analysis.
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[sin(.)].[exp(.)]wave-formmodelingsimlationprocessing[sin(.)].[exp(.)]wave-formmodelingsimlationprocessing
time
magnitude
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Figure 8: inductor-capacitor-resistor circuit for frequency variation realization.
Figure 8 depicts the realization of frequency variation inside a circuit to filter the signal
output. The inductor L receive signal input edge characterizes current flows in Amperes.
These current flows sustain or incur some basic logic influences. These current flows incur
phase shifting and magnitude modification. Then they maintain their following flows within
the circuit. Some of them will traverse the resistor and others will contribute for capacitor
charge. The output node is resistor-capacitor filter characterizing the 3dB lossy magnitude
for cutoff frequency.
In fact, to measure this cutoff frequency within the 3dB lossy magnitude, the following
mathematical functional operation GaindB=20.Log10(VoutV
) should be onward proceeded.
The output voltage waveform is illustrated by 1ea.RC.t . Although, the input voltage
waveform is depicted by: sin(w t) . 3dB lossy magnitude from the maximum gain,
GaindB=20.Log10(VoutV
) , allow then short time interval measurement dt, which is
characterizing cutoff frequency;1
dtinHz. In fact,Hzin a measurement unit of
frequencies involved within the environment dynamism of any data transmission
mechanism. Therefore, the exact definition of this measurement unit is the number per one
second of couples, which are opposite event attributes; rising signal event and falling signal
event or vice versus. From this definition background of this measurement unit, the
dynamism mechanism of impulse generation could be clearly identified. The example of
figure 1000 shows this impulse generation dynamism mechanism.
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Figure 1000:Log(2..f.) function following description
for a given digital data transmission-reception-absorption.
Figure 1000 illustrates the logarithm functional behavior variation during processing
analysis of a digital data transmission-reception-absorption dynamism mechanism.
Hence, this logarithm functional behavior could be used when the involving frequency
varies within this interval values, which is [10-5Hz, 1012Hz]. Thus this logarithm functional
behavior could be used in encoding digital data to be send and receive with lossyless data
transmission. The within this function following description involving encoding techniques
are the magnitude summit value for logic true and the not function of such a value is the
logic false.
3.3. Mathematical ratios involved inside measurement proceeding processing:
Although mathematical ratios are equations of x i to yj, which depict the fraction between xi
and yj;x i
y j. These mathematical ratios are often involving for error processing analysis.
As example the entropy calculation introduced by Shannon in 1948 with his mathematicaltheory of information. This entropy measures the incertitude amount within each set of
signals to be sent. Probabilities occur often in measurement processing analysis. Thus,
probabilities are ratio values less or equal to one. To associate with measurement processing
analysis probabilities, which are determined as ratios of values at time tto maximum value
for all time. Therefore, consider a set of measurements {(t1,V1), (t2,V2), (t3,V3),..,(tn,Vn)}. The
maximum value of all time is (tj,Vmax). The probability determination is defined as follows;
{(t1,V1
Vmax
), (t2,V2
Vmax), (t3,
V3
Vmax), ..,(tn,
Vn
Vmax)}. Those probabilities would be
involving within each measurement processing analysis of amounts and quantities, which
are gains in magnitudes or gains in amounts, legacies, error corrections and other kinds of
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Log(.)functionfollowingdescriptionLog(.)functionfollowingdescription
time
magnitude
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measurement processing analysis.
Figure 12: waveform within digital data modeling-simulation processing analysis involving
[sin(x)] . [[xt]
(lim (x))] . ln([
[x t]
( lim (x))]) function.
Figure 12 depicts the function [sin(x)] . [[ t]
(lim (x))] . ln([
[x t]
( lim (x))]) used to modulate digital
data transmission. Notice thatp is the ratio of314 to 100,f is the oscillation frequency,
sin(.) sinusoidal function, ln(.) is logarithm function and lim(.) presents the superior
boundary or the maximum value for a given set of signal values.
In fact, frequency oscillation realizations is the aim object of digital data transmission
branch fields. The simple way to achieve this is the usage of circuit included infigure 11.
Incurring onwards send-receive those frequency is the subject aim of digital data
transmission such this involved within digital satellites processing analysis. The main
original theme of this incurring onwards is the data encoding decoding processing analysis.
Hence, Shannon did propose an idea of data encoding based on the bit-word-length
calculations thus the minimum amount of bits to be used to encode a character a for example
found in an alphabet set ofNcharacters. This number is thus calculated 2
x
=N+1 . Tosearch x, just introduce the logarithm function as follows: 2x=N+1 log2(2x )=log2(N+1) .
Therefore, this x number could be determine as follows; x=log2(N+1 ) .
Indeed, the logarithm conversion between bases is: loga(y)=ln (y)ln (a )
.
Thus, x=log2(N+1)=ln (N+1)ln(2)
, where ln(.) is the natural logarithm function. As example,
where theASCIIcode (255 characters) were encoded, the amount of bits was eight bits.
To encode one character from the 255 character alphabet set, a sequence of eight bits is
required for example 10011010b. To send this character, the above techniques such the
charging and discharging of the capacitor of figure 11 eight times or more would be
19
[sin(.)].[probability.Log(probability)]wave-formmodelingsimlationprocessing[sin(.)].[probability.Log(probability)]wave-formmodelingsimlationprocessing
whereprobabilityisaratioofsignalvalueatiterationitomaxsignalvalue.whereprobabilityisaratioofsignalvalueatiterationitomaxsignalvalue.
time
magnitude
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involved. In fact, the 1b represents the highest magnitude amount, however the 0b represents
the nil environment of the magnitude amount. An other methodology is to convert such a
binary sequence to integer value and to use the potentiometer command and controlling for
digital-analog converting.Figure 8 represents such a processing analysis.
Figure 15: principles of discrete compute-compile-conclude processing analysis
The main intentional background development depicted infigure 15, is the principles of
language measurement synchronization. Furthermore, civilization is the local process
whereby following flows achieve an advanced stage of development and organization.
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Hence, cultural fill in or intellectual refinement, which is good taste deduced throughout
genetic algorithms, or fuzzy logic and neural networking processing analysis. In fact, these
algorithms have mimetic and mnemonic object aims involving within human society that
has highly developed material and spiritual resources and a complex cultural, political, and
legal organization that is an advanced event states within social development environments.
Indeed to make and to burrow (which means moving or progressing by or as if by digging
holes or tunneling) are two original main primordial event attributes, which ascribe and
relate incoming data to inherent sources of quality and office characteristics. In fact,
neutralism is a core processing uniform-unity, which has to role and rule event states during
the progress of inherent data sources. This inherent data source progresses is starting from
read-signal or start-process node depicting mathematical functionalism of registering
and triggering, which is pulse or circuit that initiates the action of another component. For
example using Timer71054 within digital transmission processing analysis as shown in
figure 13 and ascribed in the header of each VCD file (value change dump file). An example
of the VCD file format could be involved within figure 14.
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Figure 14: VCD file format model inside binary incoming data representation.
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Finally there, zing and yes are output nodes, which represent measurement of
differential databases levels. Whereby zing, which means move and progress fast,
permits digital sensory; transmitting impulses from sensors to the model card meilhaus300
to be processed within modeling and simulation task and threads' achievements. Thus,
transmitting impulses are incoming data within shortest time intervals.
4.2. Binary decision diagram processing analysis:
Insection 1.1., an overview over collect data and its storage in binary format was illustrated.
For further manipulation of the stored data, some viewpoints of binary decision diagram
processing analysis would be hereby presented.
General purpose following motor flow of the binary decision processing analysis could be
depicted in Figure 16, whereby the gathering discovering data information's database start
with the start-process node and finally the end-process node collect inside circuit signals
and send them to the grounded to gathering database information node. The following
motor flows of edges, which represent data values, are binary values from received datathrough the incoming data node input signals. For example, received 6 volts would be
converted to 00110b and so on. The incoming data has the format of(timeevent, valueevent). For
example, (00.00.04, 9 volts), which would be converted to (00000000000000011b, 01001b),
the first binary inside-couple value represents the event time and the second binary inside-
couple value represents the event value. The further processing of obtained event activities
characterizing event occurrences are enveloped inside a self set of couples:
{(timeevent, valueevent)}index . To start binary decision diagram processing analysis, sufficientsuitable measurement array of event activities is required. Thus, this measurement array is
based on the indexing system sign of event occurrences. The start process node illustrates
the index null of event activity inside the envisaged system environment to reach
measurement calculations within modeling-simulation processing analysis. In fact, in many
branch disciplines, these measurement principles are always within involved, because the
core processing unit is an arithmetic logic unit, which manipulate insight's binary values.
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Figure 16: following motor flows of data edges inside considered measurement circuit.
Figure 16represents the following motor flows of data edges in binary format inside
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considered measurement circuit. The start process node has role as interrupt circuit to start
collect of data to be measured within simulation time. End process node plays a similar
rule as power off switcher. Furthermore, the other nodes are arithmetic-logic operation
nodes. The following motor flows of data edges is that the following values are binary
whose last values are instantaneously stored within grounded to gathering databaseinformation node.
4.3. Digital data compression techniques:
The mainly used digital data compression techniques are those whose roots were coming
from Lempel-Ziv and co theoretical aspects and effects. The bright idea of such a data
compression technique is the usage of the sliding windows background development.
Whereby, focusing on the windows that allows the absorption of the most significant amount
of digital data involving during modeling and simulation processing analysis.
Thereby, the utilization methodology is to fill in the mere (slight and small in quantities)array by moving sliding window most around left side and right side of the center digital
data amount.
In dictionary digital data compression techniques, the involving algorithm could be describe
as follows show in table 5.
Table 5 illustrates the algorithm development for dictionary digital data compression based
Lempel-Ziv andASCIIcoding ideas. Whereby, table map tables were involved, one hash
table for instantaneous storing vector of characters and another one for instantaneous storage
of character position inside a file. This character position is characterizing by the character
position in line and the line position in the file. In C-language, the data type declarations are
defined as that illustrated within Figure 17, which views over digital data compression
techniques.
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Event Time Characteristics
define mere array for data storage.
time t ,
whereby set local globalsimulation timer to timet.
mere array is hash table of index ed vector of characters.
In C-language;typedef map hashtable;
define mere array for position storage. time t + t mere array is position table of vector of integers. In C-language;typedef map positiontable;
reading current character time t + 2.t store it in the hash table and then store its position in theposition table.
searching if read character is inside the merearray
time t + j.t
j > 2
searching within the position table based on the characterkey. If the return value is not nil, this character exists
inside the hash table, thus just store its position in theposition table. Else, store it in the hash table and its
position in the position table.
while not end of file {moving sliding windows to next character andloop the operation to reading character step
again. }
time t + n.t
n > j
The fastness of this algorithm depend on the number ofclock cycle reserved for the read from files and writing inaccess memory.
when end of file {
storing the hash table and position table in afile.}
time t + m.t
m > n
The fastness of this algorithm depend on the number of
clock cycle reserved for the writing in files and readingfrom access memory.
Table 5: digital data compression's algorithm development.
typedef map hashtable;
typedef map positiontable;int main (int c, char *v[]) {
if (c
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1. Conclusion of how to govern principles:
In nowadays ahead away of any complex levels within commercial event activity is object
aim of environment dynamism inside any buy-sell cell during following functionalismfabrication flows.
2. Annexe: 09/11/2001 references and performed hyper tasks and threads:
Searching of compute-compile-conclude aspects from life believers and performer examples. Thus
thereby the viewpoint of the invisible Satan of George W. Bush processing analysis:{
Bush means basically to extend in a bushy growth and to grow or branch out like a bush, which is
low shrub with many branches.
In Shannon's basics theory (see Shannon paper 1948: mathematical information theory), bush is set
of 4 letters, which are {B, U, S, H}. To perform a philosophy processing analysis (ppa) based on a
final intention and aim to reach a holy high values' level, a language fission (splitting) philosophy
processing analysis (ppa) is involved. This ppa can be illustrated as follows {
B (be or not to be balance): Eblis (Event basic logic influence system) or Iblis (indexbase's liable insight secret) existence from Adam creationism until life-end on Earth. The
invisible Satan dynamism is defined in the dualism (condition of being double; duality)
of computation-provocation aspects. This is a balance engine (means of
accomplishment). U: provocation of Uniform-Unity from invisible and visible philosophy analysis of real-wares.
S: processing analysis of Satan system dynamism. H: secret of holy high heaven level. It is a great/big question. }
}
6.1. Discrete dream events philosophy processing aspects, modeling-simulation
example Earth's study.
Earth's study is growing in huge with the advances in digital modeling and simulation aspects.
However, the background of such a science is wrong and not logic. Therefore, the principles of
logic and true right be awake aware to basic logic influence systems should involved within any
digital modeling and simulation.
Figure below, figure 100, shows basic logic of Earth's study example; the shape-form of the Earth.
Indeed, the true right shape-form of the Earth is the many several cylindrical viewpoints at any
height from a flat surface on the Earth's ground. Heights from flat surface on the Earth's ground
could vary from 1 meter and less to 400000000 meters, whereby the distance of the unknown
Earth's planet was defined starting from 1969. The visited on 1969 planet may be Earth's planet
without name, because the Earth's Moon emits light forever. Hence, for more information of the
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light emission, see the 400 watts light bulbs and compare the modeling-simulation effect results to
the light emission from that planet and other active alive objects in the Earth's Sky.
Figure 100: true right outward appearance of shape-form of the Earth is
the several cylindrical viewpoints at any height from a flat surface on the Earth's ground.
Existence studying of Satan systems and their dynamism within discrete dream event aspects,
whereby, mind composition is clean clear invisible language philosophy processing analysis.
Thereby, do while processing of real-wares and compile conclude philosophy processing (do some
thing that is real). Furthermore, while the condition is satisfaction with basic logic influence
systems, begin doing some synchronized following onwards flows. Therefore, language
computations onwards instructions processing (C, L, I, P), which means seduction and temptation
secrets. Whereby fatal fear on holiness destination whose object aim is first Satan following role
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flow, which is knowledge disastrous fear. The intention and aim of Spiritual Satanism is to apply
this gathering information database and transform the souls into Godhead and Godhood defined in
3K {
first K not defined K-word = Jesus, which means surprising.
second K is the K-word King = not defined, which means the selfish autonomy to be aliveaway for true right doing.
final k is the K-word Lord = human Satan: philosophy processing aspects. This is the hardhyper task to have been understood.
}
On other hand, language computation's instructions processing philosophy (LCIPP) requires science
knowledge of Satan systems whose seduction secret aim and temptation results outcomes {
this analysis can be divided into many steps {
First step: philosophy i-processing: introduction, instruction, inside, innovation. Thisi-processing is primordially and fundamentally.
Second step: philosophy processing in 3D system scaling and time-base withinseductions and provocations; this inside thinking-treatment is visible illusion. Forexample, the blacksun.pdf (http://www.thenewgnosis.org/blacksun.pdf) isvisible
illusion grounded to famous following flows. Whereby, many authors did write
"Globalization and "McValues" are the death of all root values." In my clean clear
compute-compile-conclude aspect analysis the globalization and "McValues" should
be based on communication and culture exchanges throughout the innocent ways of
the highest holy spirit backgrounds.
Third step: philosophy processing of innovation's objects. Thereby,(http://www.science.nasa.gov) develops discrete event simulation's modeling-
simulation tools to be awake of event occurrences in the Earth's Sky and its system
environment. Fourth step: philosophy processing of sciences complexity. Hence, scientific aim
destination is true right description details of gathering databases information.
Fifth step: philosophy processing of correctness's language cleanup(s). Thistheoretical methodology is defined as follows whereby compute language instruction
processing can be {
i. philosophy processing of clean lust invisible instructions.
ii. philosophy processing of logic clear aim and object destinations.
iii. philosophy processing of compile false instructions and correct them.
iv. philosophy processing of classification loop instructions: inside loop seduction's
secret and effect results processing analysis.
v. philosophy of complex large instruction processes.vi. philosophy of combine lord instruction processes (as reference: processes in Very
large scale ICs Hardware Design Languages are primordial cores discretely defined as assigned
values).
6.2.Philosophy analysis of real-wares aspects:performed hyper thread-tasks or mathematical
energy theory:
Analysis information: Satan system aspects is a big question in the discrete dream event's
philosophy analysis. Satan is first enemy for high holy heaven home last step to have to be. Satan
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principal tasks are:
- to recall or exercise by means of a lure or seduction.
- to draw with a hint of pleasure or reward: attract actively and strongly of event occurrences.
- to provoke someone to do something through often false or exaggerated event attributes.
In nowadays, mathematical energy theory becomes aspect notes for digital data transmission
researchers. Starting in 1928 with sending telegrams, researchers were interested in encoding and
mathematical and technical power formalisms, because mathematical energy aspects are in time
integrations of inside mathematical and technical data modeling-simulation processing analysis.
6.2.1.Einsteinperformed thread-tasks for mathematical energy theory:
Einstein performed thread-task in mathematical energy theory, is the famous formula:
E=mC2 , where m is a weight in SI system measurement, and C is light velocity as definedconstant in SI system measurement. Indeed, light velocity was never be constant. Furthermore, light
velocity could not be nevertheless determined whereby philosophy processing analysis aspectswould be investigated within modeling-simulation processing analysis. Although, clear compile-
compute-conclude processing analysis of mathematical energy theory is the how to measure
principles inside Watts' measurement calculations. Therefore, first of all, a clean clear mathematical
power theory should be investigated. As original main thread-task of power measurement
calculation is: a.current( t)event. voltage(t)event , where 0
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pictures token from this website: http://www.nasa.gov/multimedia/videogallery/index.html.
Otherwise consider the following formula of light motion velocity identification:
wavelengthwavefrequency=C=2.99108 m /s ,
Hence, from the above experiments, the distinct wavelengths vary from 1 meter to may be 1000meters (100 meter wavelength of laser with 3 Volts battery energy source producer), nevertheless
the wave frequency is constant. The mathematical product of which measurement quantities could
thus never be constant.
6.2.2.Planckperformed thread-tasks for mathematical energy theory:
Planckperformed thread-task in mathematical energy theory, is the famous formula: E=hN ,where h is his constant in SI system measurement, andNis wave frequency as defined variable in
SI system measurement.
In fact, from the above experiment results defined in section 6.2.1, within same frequency valuesand distinct power values of envisaged light bulbs, the energy could never be thus constant, due to
the constant value of the h, which is the definition of Planck's constant; see
http://hyperphysics.phy-astr.gsu.edu/ for more details about this mathematical definition of energy.
Figure 200: proposal electrical circuit of Light Emission processing analysis.
Figure 200 depicts an electrical circuit of the phenomena of light emission. Light could only
emitted and transmitted using Light Emit Diodes and light bulbs or similarly. Therefore, the
measurement quantities of lights and whose velocity is depending on those involving tools, such
electrical energy-to-light converter toolboxes.
Indeed, these energy-to-light converter toolboxes allow light motion anywhere. The most around
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application is the disco emit light gaming-operations, optical-fiber data transmission, electrical arcs,
the color of Earth's Sky at night and so on, whereby the movable distance of the produced light
could be may be attained 400000 meters or more in the next high-tech light bulb production
processing.
In fact, the motion of light is hard thread-task to be achieved. Nevertheless, the true right light
motion velocity is original main sufficient suitable organization flow for researchers in electrical
branch and field's disciplines, whereby the true right definitions of velocity should have been
integrated within any light motion phenomena study.
The insight of logic processing analysis of light motion velocity with source energy batteries of cars
and trucks, is the distance variations belong to this light velocity motion mechanism from 1 meter
(car rear-light) to 300 meter bright light (headlight of car). Hereby, to calculate light motion
velocity, the time event value would be needed. For example, for10 seconds time, the above
detailed distances could so easy reached (1 meter to 300 meters). By this way, the light motion
velocity, which is defined as: velocity= distance(t)
t, proves that the light motion velocity could
never be constant and till now not yet reached the C, C=2.99x108 m/s value identified byEinstein and co.
The most around intense light motion velocity is the electrical arc motions' production within the
insight of high power voltages. As reference application for light motion velocity, the primordial
thread-task production is to take the beam bicycle lighting production, which is based on the
physical power that could be involved within such an organization flow. When this power is less
ore mere, the produced beam bicycle light is not clear bright, and when this power becomes
stronger, the produced beam bicycle light becomes intense bright.
The mathematical format of the energy inside such a thread-task processing, is the integration of
produced power within instantaneous time values; E=
ClearSurface
(
Power(t)dt)ds , whereby
the clearness of envisaged surface-form is depending on the power within the light production
mechanisms. This power could be varied between 2.5 Watts LED to 500 Watts projectors or more
1000 Watts light bulbs. In my opinion, there is not till now any other source of light production
either the electrical energy converters such leds, light bulbs, electrical arcs and similarly.
See this video for more details: www.youtube.com/watch?v=6MFz08vG44M.
For further gathering discovering database's information abut energy sources, see below for
charging chemical battery equations details.
6.3. Philosophy processing analysis of Moon's light color dream and to be there:
6.3.1. Keywords are:
First of all, the kernel keyword of such a philosophy processing analysis is real-ware's observation
aspects, which are engendered in basic envelop whose light processing analysis is the discrete event
simulation motor kernel flow. For example: you see Moon's light at nil o'clock (00.00.00 starting
day in Hawaii), what do you feel?
Furthermore, distinguishing between color aspects throughout processing analysis of scaling
mechanism from light black color till light white color.
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could be).
6.3.4. Second step; color processing analysis indications;
Black => damage and dangers effect aspects. The basic light color of Earth's Sky.White => saint philosophy processing analysis. The main original primordial day's light
color to allow distinguishing between colors for each instance at time unit in seconds.
However {
safe secure contact with processing analysis results, dark and/or secret following flow of
outcome (final product or end result) may be badness or happiness.
}
6.3.5. To explain numbers meaningfulness (purpose or value)
i. two is a binary base whose element is bit which means true or false.
ii. 2 = 10b, first one is true if this so defined or false either and vice versus.iii. 2 indicates that there are just two types of choices either to believe strength of 2 invisible
systems or to believe philosophy processing analysis.
Note {
i. outcome; a final product or end result; consequence; issue.
ii. outcome; a conclusion reached through a process of logical thinking.
And
j. meaningfulness; purpose or value.
jj. meaningfulness; significance.
6.3.6. Conclusion;
Resolving a task in computer language instructions processing philosophy is a binary prediction of
occurrences of events. As reference see in details the discrete event simulation theory, which is
described as follows: for a given time value, an event is occurring on the considered signal during
this signal processing. Therefore, this simulation could be formulated within a defined couple
(timeevent, Valueevent). A sun-up (rising sun light from light red color to blue one) is an event
occurrence, which changes in time for a reference time set as global time (in winter time is about 08
o'clock am and in summer time is 03 o'clock30 am in Alaska/USA). Therefore, grounded to the
above details; the Earth's Moon emit light. This light is a white color light, which changes its event
occurrences for each day within a month. So, based on the works of Issac Newton, Einstein and co,the white color light is a composition of main primordial primary colors, which are: light red color,
light yellow color, light green color and light blue color.
Next step is to know that a required frequency is needed to make primordial white color light from
these four main primordial primary light colors, which are: red color light, yellow color light, green
color light and blue color light. This frequency after experiment results, should be at least 22KHz
(22000Hz). When having to convert this 22KHzto meter per second as wavelength propagations
inside a space-time system characterized by a coordination shown pictures, so the diameter of
desired object to be used should be determined.
As similarly, an object for a given circle with a diameter of8000 miles, the having to be converted
frequency of22KHzin wavelength propagations length-language is 0.5x2xpix8000x22000 miles
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per second unit time. This is equal to 552.92x1000000 miles or552.92E6 milesper second unit
time. This indicates that the rotation of a given point at the flat surface of this object
should be in rotation motion with the velocity value of552.92x1000000 miles or552.92E6 miles
per second unit time.
The basics of computer languages is the compile-compute hyper tasks and threads inside any signal
processing. Indeed, these hyper tasks and threads could be easy translated to compute-compile-
conclude processing analysis aspects such that fuzzy logic secret processing on high and holy
values analysis philosophy. This analysis philosophy is a nice effect throughout obtained simulation
result's background within learning functions such that a movable in time sin2(2ft+ ), which is
exactly characterizing the amplitude modulation in the field of digital data transmission, where fis
the frequency of considered digital signal, tis synchronized time for a send-receive operations, and
is the phase of this signal. In electric field starting from the resolve of basic logic influencesystems on the measurement parameters such that power (voltage), intensity (the brightness of a
given image), the puissance and the energy and perhaps other measurement parameters, which
characterizing waves and particles in motion. In fact, for the measurement parameter puissance, thebasic definition is the scalar product of the primordial main primary measurement parameters,
which are the power (voltage) and the intensity (in Amperes). In supermarkets, measurement of
puissance is in Watts.
Hereby, as defined in early Greece Archimedes Theory, the energy or work is the integral function
of the applied forces in a given time period on considered system. For some electrical applications,
the energies are calculated directly from the integration in time of the power; E=P( f ,t). dtwhereP(f,t) is the electrical power defined as follows:
P(f , t)=a.sin(f , t) .cos( f , t)
Where 0 < abs(a) < 1, and sin(.) is the sinusoidal function. Furthermore,
the cos(.) is the integration or may the differential function in time of
the sin(.) and the abs(.) is the absolute value.
P(f , t)=b.sin(f , t) .sin (f ' , t) where 0 < b < 1.
In Electricity domains, the outward appearances mistakes is to consider energy as h x frequency (
h. )where h is the Plank's constant ormC2 ( mC2 ) where Cis the white light velocity and them is the weight of any object in kgs or lbs. These two outward appearances mistakes are clear.
Indeed, for many bulbs within different power values, which vary from 25 Watts to 480 Watts, the
wavelength propagation is moving from 1 meter to about 300 meters bright light. Thereby, thisexplains so easy that the wavelength propagation depends on the power values, which have been
bought from any supermarket. Neither Plank nor Einstein did exactly define the energy in its true
right formalisms. By this way, the white velocity could not be constant but strong secure sure
variable function the energy to be emitted.
Figure 17is showing the usage ofsin2(x) function to modulate the amplitude within digital data
transmission.
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Figure 17: using functionsin2(x) for a given digital signal modulation.
Note that to receive back just a white picture from Astra satellite in a far way distance about
401000000 meters, a 18 GHzemission frequency of this picture is required. This frequency is
produced by an electrical oscillator characterizing the magnetic effect characterizing the loadstones
of electrical energy in magnetic form to be sent ( L.i(f ,t)dt ) and electrical effectcharacterizing the charging within the capacitor ( C. i( f ,t). dt ). The within energy is just thecalculation of the power, which is about 24Volts and current intensity, which is varying during thetransmission process. Now the growing gradually actually question is: which current intensity
should I use within this send-receive digital signal processing?
If this current intensity is 1Ampere, then the energy isE =24 Watts x Seconds (seconds time are
needed to receive back the white picture which was sent).
Figure 18: sending databases source
Figure 18 is characterizing the movable energies during a digital data transmission process. In this
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-1.5
-1
-0.5
0
0.5
1
1.5
square(sin(.))usedwitinamplitudemodulation
time
intensity
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processing mechanism, the database can be text files, mpg files, or echos or other types of
gathering database information. Notice that the energy is never being constant. In gray-rue
consequence effects on resolve basic logic influence systems, the energy is function of at least the
amplitude of data to be sent. Not only the energy value calculations are wrong by Einstein or Plank
because their variation during digital data transmission process, but also the definition of exactlymeaningfulness of the energy transformation forms. Indeed, the energy magnetic form is a
differential variation during the processing mechanism of digital data transmission. This illustrates
that this differential variation could be nil for a given time. It means that it varies so small in
quantities for shortest time intervals. On the other hand, this would never allow a creationism of
magnetic fluxes to be transmitted to a given destination.
Furthermore, the electrical energy form is a storage envelop to be used when it would be required.
For example, the charging of capacitors. These capacitors could be then used in electric utilization
inside cars.
In fact, the light transmission tools are basic deduced from growing gradually actually technologies.
These tools should till now be a magnetic and electrical material energy converters. For example
capacitors and inductors.
Figure 19: electrical material energy converters
Figure 19 illustrates the material used in electricity domains to allow light to be movable in time.
When, we observe the Earth's Moon, we see light inside the Earth's Sky. Therefore, which material
were used to emit this light most around 14 hours sun-light in winter time (see figure 21)????
Notice that discrete event simulation theory is needed to have been understood. Then, first of all
reading computing techniques: such that the quadratic formalisms is needed. And after language
processing philosophy analysis: which languages are most around required?
6.4.Philosophy processing analysis following flows:
In this section, the invisible decision design is ssssfofo: strong secure sure safe first one fly on; such
that language processing philosophy analysis. The language processing philosophy analysis is based
on the Shannon's Theory. The Shannon's Theory uses the probability and the stochastic aspects of
digital data transmission elements to achieve its hyper tasks and threads. As result of language
processing philosophy analysis, two alphabet sets, which are {J L (K) M N} or { F F (Event basic
logic influence system) F F or (Event basic logic influence system) F F F F}. Where (?) is start-
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origin. Where (K) is an origin sign and (Event basic logic influence system) origin sign too that
means Event's basic logic influence systems. Note that the system's definition can be so small
dimension system such that the atom of helium or so large such that the Earth's planets, which are
the eight visible planets: Earth's red planet, Earth's Saturn, Earth's Mercury, Earth's Venus, Earth's
Jupiter, Earth's Uranus, and Earth's Neptune.The sub-alphabet{JL} is the famous join-link following flow inside compute-compile processing
analysis. This famous join-link following flow motor flow is a background structure inside
instruction language processing. From dictionary definition, to join means to connect (see
below). By this way, in many application fields, each entity could, should or would be connected or
exactly joined to its associated group. Notice that an entity is a model of black box involving inputs
and outputs. Furthermore, from dictionary definition to link means to be got ready for
execution.
On the other hand, the sub-alphabet {MN} is the famous main-nucleus following flow inside
compute-compile processing analysis. Main structures programming languages are most around
using C-compiler. So, the basic structures within the execution process is the starting from main up
processing analysis aspects. The nucleus is a measurement unit used in many fields to indicate justone entity or element. In English language, it represents just one letter or character for example x.
Indeed, a nucleus is normally a particle, which involves within positive charges and negatives too.
Grounded to the physics investigating material states, the hydrogen is currently the nucleus atom.
This atom contains mainly just one negative charge or may be more in the conduction band and just
one positive charge or may be more in the valence band. In the neutral material state of this atom,
the number of positive charge should be be equal to the number of negative charges too.
For example for a given battery of car, the chemical equation is defined as follows (illustrated
within equation 1):
PbO2+Pb+2H2 SO4PbSO4+2H2 Oequation 1:charging of Plumb battery
The positive particles in this equation (equation 1), are thePbO2 charges (dioxide of Plumb) and the
negative particles are thePb charges (Plumb).
Another charging equation model is the following equation (equation 2):
Fe+2Ni(OH)3Fe(OH)2+2Ni(OH)2equation 2:charging of ferrous-nickel battery
The positive particles in this equation (equation 2), are theFe charges (fer) and the negative
particles are theNi(OH)3 charges (nickel and co). Another charging equation model is the followingequation (equation 3):
Ag+Zn(OH)2AgO+Zn+H2Oequation 3:charging of argent-zinc battery
The positive particles in this equation (equation 3), are theAgcharges (argent) and the negative
particles are the Zn(OH)2 charges (zinc and co). Another charging equation model is the following
equation (equation 4):Cd+2Ni(OH)3Cd(OH)2+2Ni(OH)2
equation 4:charging of cadmium-nickel battery
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The positive particles in this equation (equation 4), are the Cdcharges (cadmium) and the negative
particles are theNi(OH)3 charges (nickel and co).
Although, the considered above charging battery types involve positives and negative particles, theyneed current intensities to be full-charged and ready for different utilization kinds.
The process of charging those batteries, is function of the couple (time e,, Amperest) where I is the
intensity magnitude at time t and time is a discrete event time value for a given intensity magnitude.
The wave-form of such a charging mechanism is described by the figure reference figure 4.
Figure 20: charging battery different kinds.
In reference of figure 20, an overview over the required power or exactly the puissance is shown for
different battery kinds.
Notice that this puissance is principally depends on the current intensity values. In fact, Ampere did
define the current intensity as follows: the ampere (SI (system internationalism) unit symbol: A), is
the unit of electric current used in the system internationally. It is a measured quantity of electricity
inside a circuit for a given time value. It is named afterAndr-Marie Ampre (17751836), French
mathematician and physicist, considered the father of electrodynamics. Note that SI supports only
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the use of symbols and deprecates the use of any abbreviations for units [4]. In practical terms, the
ampere is a measure of the amount of electric charge passing a point in an electric circuit per unit
time with 6.241 1018 electrons or one coulomb per second constituting one ampere [5]. By
convention, the electrons are negatives particles or exactly negative charges, which are movable
within each electric circuit. One electron has a negative charge value of 1.19 10 -19 Coulombs and
a weight of 1.241 10-25 kgs. Notice that, a car battery is about 40 Ampere hour usage. In electron
terms is 249.64 1018 electrons hour usage.
6.5. Following flow theory stepping analysis (upstairs-downstairs follow flows):
Whereby, variable motor one is discrete dream event processing analysis. In this field,
the differential value variation is the motor flow.
variable motor two is binary processing analysis true or false and going fuzzy to analyzethese tasks and threads.
variable motor three is secret information aspect analysis. Through which the databasegathering information will be fill in.
variable motor four is famous fin following flows such that logic true right compute-compile-conclude processing analysis aspects.
Objects {
define a function of philosophy processing analysis, which simulate (compute
conclude) dream events
} draft function formulation {
i. enough information from dream events.
ii. discrete event analysis (mind composition effect aspect (appearance to the eye or mind;
look)).iii. sufficient invisible pleasure {satisfaction signs}.
iiii. compile conclude processing analysis {clean clear consume commerce}.
} what does this mean?
This means {
1. first fly on following flows: dream discrete events.
2. following flow fruit food of Eblis = {follow flow fruit results deduced from Event's
basic logic influence systems}.
3. analysis signs = {fiction, fraction, factoring, f-inside}.
4. for loop philosophy processing analysis = home of Eblis (four words which are Event
basic logic influence).
Applications;
F F or F F
as1. pronunciation problem solving English or American for example.
as2. combine the two items:
F FF F or ( Eblis ) ===>F F F F.
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as3. {
only temptation language, this means just discrete seduction; { fear fiction ofEvent basic
logic influence system left or right sides. Therefore,Event basic logic influence system in the left
side is a fraction fly on first flow (foolish afraid) and on the other hand in the right side it is secure
fuzzy follow flows of fruit and food of Event's basic logic influence systems. This is the high holyhome values conclusion. Hence, transform (K) to "know" {based on origin sign (K); first fly on
following flow is knowledge [invisible strangeness real-wares processing analysis]
}
6.5.1. Secret of the black sun:
00100. ssfofo philosophy processing analysis aspects:
Jesus/Lord/King Manufacturing; compute conclude aspects of complex temptation contact.
strong secure fly on first one (ssfofo); philosophy processing analysis.
00101. invisible proceeding processing of God existence; Holiness and Sainthood:
The exactly true right outward appearance of the Earth's planet is showing in figure 21. In figure 21,
the second law of Newton's theory was applied to illustrate that the vertical lines within the applied
weighted terrestrial gravities are always parallel straight lines.
In fact, at least three parallel straight lines (one in Japan, which is perpendicular to the flat surface
on beach there, one in Russian black sea, which is perpendicular to the flat surface on beach there
and the last one is in the Boston beach, which is perpendicular to the flat surface on beach there
too.) These parallel straight lines will never converge to just one center. Indeed, they will usually
traverse a flat surface inside the Earth's planet. This surface is defined as elliptic surface-form.Hence, the Earth's planet outward appearance should be a composition of these elliptic cylindrical
surface-forms. These elliptic cylindrical surface-forms are parallel and could be deduced from the
inside elliptic cylindrical surface-form layer which is magma layer to the last one which is the
elliptic cylindrical surface-form layer of air for each evolved observation eye or system
environment.
00110. God's strength breakpoints (real-wares design philosophy analysis): performed
theoretical practical effect aspects: {
Holiness and Sainthood: King of Aim and destination { this defines K as letter-kernel}:
http://www.satansheaven.com/index.htm. First of all, the K-word, which is defined as aSatan of George W. Bush (is his first attached invisible enemy) and then may be the Satan of
each woman (what do a woman want?) {by Rblis there are the 2 K-word, which will be
define in following flows: http://satanslibrary.webs.com/Satanism_Eastern_Origins.htm.}
Secondly, the main Satan: Satan is the bringer of knowledge. The goal of Spiritual Satanism
is to apply this knowledge and transform our souls into Godhead, as was originally intended
by our God Creator which is define in 3K that are: {3K = Jesus, King, Lord = human
Satan}:http://www.occultopedia.com/e/eblis.htm
Electrical scientific provocations: {
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- delete satanic badness during life before death.
- invisible instruction processing and hardware philosophy.
- philosophy manufacturing processing on earth and visible Earth's Sky deep investigation
and study.
Definitions: To join:joined,joining,joinsv.tr.1. To put or bring together so as to make continuous or form a unit: join two boards with
nails; joined hands in a circle.
2. To put or bring into close association or relationship: two families that were joined by
marriage; join forces.
3. To connect (points), as with a straight line.
4. To meet and merge with: where the creek joins the river.
5. To become a part or member of: joined the photography club.
6. To come into the company of: joined the group in the waiting room.
7. To participate with in an act or activity: The committee joins me in welcoming you.
8. To adjoin.
9. To engage in; enter into: Opposing armies joined battle on the plain.v.intr.
1. To come together so as to form a connection: where the two bones join.
2. To act together; form an alliance: The two factions joined to oppose the measure.
3. To become a member of a group.
4. To take part; participate: joined in the search.
To link: linked, linking, links
v.tr.1. To connect with or as if with a link: linked the rings to form a chain. See Synonyms at
join.
2. Computer Science To make a hypertext link in: linked her webpage to her employer's
homepage.v.intr.
1. To become connected with or as if with a link: The molecules linked to form a polymer.
2. Computer Science To follow a hypertext link: With a click of the mouse, I linked to the
company's website.
00111.Big Question: THREE-PHILOSOPHY proceeding processing aspects:
i. Jesus; keyword identification,
ii. King; not defined so search aspects,
iii. Lord; compile compute processing analysis.
First of all, an Arabic language background is required to understand this black event occurrence of
the sun. For details, would please read this involving website:
http://islamweb.net/newlibrary/display_book.php?idfrom=5034&idto=5039&bk_no=50&ID=5115
translation resume: the sun changes effects from back to white within the day times.
As references, please watch the following video too:
http://www.nasa.gov/multimedia/videogallery/index.html
6.5.2. Annexe documents for some synchronized definitions:
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http://www.thefreedictionary.com/joinhttp://islamweb.net/newlibrary/display_book.php?idfrom=5034&idto=5039&bk_no=50&ID=5115http://www.nasa.gov/multimedia/videogallery/index.htmlhttp://www.thefreedictionary.com/joinhttp://islamweb.net/newlibrary/display_book.php?idfrom=5034&idto=5039&bk_no=50&ID=5115http://www.nasa.gov/multimedia/videogallery/index.html7/31/2019 Government Draft
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[0] Particle is:
i. A very small piece of solid matter.
ii. An elementary particle, subatomic particle, or atomic nucleus. Also called corpuscle.
[1] 2.1. Unit of electric current (ampere)", SI brochure (8th ed.), BIPM,
http://www.bipm.org/en/si/si_brochure/chapter2/2-1/ampere.html, retrieved 19 November 2011[2] 2. SI base units", SI brochure (8th ed.), BIPM,
http://www.bipm.org/en/si/si_brochure/chapter2/2-1/, retrieved 19 Nkilogramovember 2011
[3] The other six are the metre,kelvin,second, mole, candela, and
[4] Bureau International des Poids et Mesures" (PDF). 2006. p. 130.
http://www.bipm.fr/utils/common/pdf/si_brochure_8_en.pdf. Retrieved 2011-11-21.
[5] Bodanis, David (2005),Electric Universe, New York: Three Rivers Press, ISBN 978-0 307
33598 2
[6] Video band for beam bicycle lighting: http://www.youtube.com/watch?v=6MFz08vG44M
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