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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

    15

    [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.

    16

    [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

    29

    http://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.science.nasa.gov/http://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.thenewgnosis.org/blacksun.pdfhttp://www.science.nasa.gov/http://www.thenewgnosis.org/blacksun.pdf
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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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    http://www.nasa.gov/multimedia/videogallery/index.htmlhttp://hyperphysics.phy-astr.gsu.edu/http://www.nasa.gov/multimedia/videogallery/index.htmlhttp://hyperphysics.phy-astr.gsu.edu/
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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

    36

    -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:

    42

    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.html
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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

    43

    http://www.bipm.org/en/si/si_brochure/chapter2/2-1/ampere.htmlhttp://www.bipm.org/en/si/si_brochure/chapter2/2-1/ampere.htmlhttp://www.bipm.org/en/si/si_brochure/chapter2/2-1/http://www.bipm.org/en/si/si_brochure/chapter2/2-1/http://www.bipm.org/en/si/si_brochure/chapter2/2-1/http://c/wiki/Kilogramhttp://c/wiki/Metrehttp://c/wiki/Kelvinhttp://c/wiki/Kelvinhttp://c/wiki/Secondhttp://c/wiki/Secondhttp://c/wiki/Mole_(unit)http://c/wiki/Candelahttp://www.bipm.fr/utils/common/pdf/si_brochure_8_en.pdfhttp://c/wiki/PDFhttp://www.bipm.fr/utils/common/pdf/si_brochure_8_en.pdfhttp://www.bipm.fr/utils/common/pdf/si_brochure_8_en.pdfhttp://c/wiki/David_Bodanishttp://c/wiki/International_Standard_Book_Numberhttp://c/wiki/International_Standard_Book_Numberhttp://c/wiki/Special:BookSources/978-0%25E2%2580%2590307%25E2%2580%259033598%25E2%2580%25902http://c/wiki/Special:BookSources/978-0%25E2%2580%2590307%25E2%2580%259033598%25E2%2580%25902http://c/wiki/Special:BookSources/978-0%25E2%2580%2590307%25E2%2580%259033598%25E2%2580%25902http://c/wiki/Special:BookSources/978-0%25E2%2580%2590307%25E2%2580%259033598%25E2%2580%25902http://c/wiki/Special:BookSources/978-0%25E2%2580%2590307%25E2%2580%259033598%25E2%2580%25902http://www.youtube.com/watch?v=6MFz08vG44Mhttp://www.bipm.org/en/si/si_brochure/chapter2/2-1/ampere.htmlhttp://www.bipm.org/en/si/si_brochure/chapter2/2-1/ampere.htmlhttp://www.bipm.org/en/si/si_brochure/chapter2/2-1/http://www.bi