sci fi reality….eco solver..the a.i body room

 

a personal body health room: A.I on the advance

By Henryk Szubinski

Digital morphogenesis is a process of shape development (or morphogenesis^[1]) enabled by computation. While this concept is applicable in many areas, the term “digital morphogenesis” is used primarily in architecture.

In architecture, digital morphogenesis is a group of methods that employ digital media for form-making and adaptation rather than for representation, often in an aspiration to express or respond to contextual processes.^[2][3][4][5] “In this inclusive understanding, digital morphogenesis in architecture bears a largely analogous or metaphoric relationship to the processes of morphogenesis in nature, sharing with it the reliance on gradual development but not necessarily adopting or referring to the actual mechanisms of growth or adaptation. Recent discourse on digital morphogenesis in architecture links it to a number of concepts including emergence, self-organization and form-finding.”^[6]

you approach the computer terminal fixed on the wall:

the rest of the walls in your personal room space are all designed to use any transparency of the body room , your inner fysiology, the veins flowing through your body, the beating of your heart; swith on the function 1 where you stand , the image is presented before you,

The room has a layered format, to accesss your body functions in the category; digestion, you go to the wall where the designated area before you is The kitchen.

The objects foods and products are all there according to your own likes.

You go to the terminal , punch in the body function to be calculated as ; KITCHEN, SPICE section, the wall swithes over to the fysiological influence of the food stuffs to the bodies own LIVE screen format..

You approach the computer again, the data appears :

YOUR specific are……………the data continues on the basis of a transparency of level 1 over / level 2 = difference 3

The resultant process is based on the security of the multi universes as a format of epilleptoid formats in which the data on

A1/A2 = a altered displacement onto which the base floor is a gravity response to maintained fysiological data of the intercie of the divisives of the areas used;

basic to this is the quantal ability of the projections of a localisation of non wanted itrusions of a format based on reducing the objects be they food stuffs as the data on A1//A2 (g+/- x)

= the values of the weights and their values as thrown away and is then not included in the calculations so that a safe format for subsequent interactions with the body imagings.

This kind of data environment can be used with the EARTH basically showing how it feels or as a format for technological inventions..

= BODY ROOM TO MOOVE and to maintain interlock on the specificis continually at hand to be calculated .This is the basic and main point of a artificial intelligence unit.. BODY ROOM = x and g value interactive positional throw aways.

after interactions need not be a problem with the personal data on throw aways as the luggage of the interactions of problems that can be solved by ones own effort.

According to Ernest Adams, author and consulter on game design,^[4] immersion can be separated into three main categories:

Tactical immersion

Tactical immersion is experienced when performing tactile operations that involve skill. Players feel “in the zone” while perfecting actions that result in success.

Strategic immersion

Strategic immersion is more cerebral, and is associated with mental challenge. Chess players experience strategic immersion when choosing a correct solution among a broad array of possibilities.

Narrative immersion

Narrative immersion occurs when players become invested in a story, and is similar to what is experienced while reading a book or watching a movie.

Staffan Björk and Jussi Holopainen, in Patterns In Game Design,^[5] divide immersion into similar categories, but call them sensory-motoric immersion, cognitive immersion and emotional immersion, respectively. In addition to these, they add three new categories:

Spatial immersion

Spatial immersion occurs when a player feels the simulated world is perceptually convincing. The player feels that he or she is really “there” and that a simulated world looks and feels “real”.

Psychological immersion

Psychological immersion occurs when a player confuses the game with real life.

Sensory immersion

The experience of entering into the three-dimensional environment, and being intellectually stimulated by it. The player experiences a unity of time and space as the player fuses with the image medium, which affects impression and awareness.

 

to define the type of integrator for the computations at a harmonic levele the laws of Newton are used:

In physics, simple harmonic motion (SHM) is the motion of a simple harmonic oscillator, a motion that is neither driven nor damped. A body in simple harmonic motion experiences a single force which is given by Hooke’s law; that is, the force is directly proportional to the displacement x and points in the opposite direction.

The motion is periodic: the body oscillates about an equilibrium position in a sinusoidal pattern. Each oscillation is identical, and thus the period, frequency, and amplitude of the motion are constant. If the equilibrium position is taken to be zero, the displacement x of the body at any time t is given by

where A is the amplitude, f is the frequency, and φ is the phase.

The frequency of the motion is determined by the intrinsic properties of the system (often the mass of the body and a force constant), while the amplitude and phase are determined by the initial conditions (displacement and velocity) of the system. The kinetic and potential energies of the system are also determined by these properties and conditions.

Simple harmonic motion. In this moving graph, the vertical axis represents the coordinate of the particle (x in the equation), and the horizontal axis represents time (t).

Simple harmonic motion can serve as a mathematical model of a variety of motions, such as the oscillation of a spring. Other phenomena can be approximated by simple harmonic motion, including the motion of a pendulum and molecular vibration.

examples cited courtesy with comparisons with wikipedia data

sci fi reality….motion assists stability in flyecars

 

the flyecar

By Henryk Szubinski

The Routh–Hurwitz stability criterion is a necessary (and frequently sufficient) method to establish the stability of a single-input, single-output (SISO), linear time invariant (LTI) control system. More generally, given a polynomial, some calculations using only the coefficients of that polynomial can lead to the conclusion that it is not stable. For the discrete case, see the Jury test equivalent.

The criterion establishes a systematic way to show that the linearized equations of motion of a system have only stable solutions exp(pt), that is where all p have negative real parts. It can be performed using either polynomial divisions or determinant calculus.

The criterion is derived through the use of the Euclidiean algorithm and Sturm’s theorem in evaluating Cauchy indices.

using the formats of a value indications of limitless vector values without restrictions on velocity or vector directions also on the displacements of non restricted any value:

The data as such has generalisations of the flow data = programme diamtricality¨

on the levels of data as the responsive inter envieonments of value = data aheead of the functions of altered direction angles in a value to which the substitutions of data SA,P =process¨

in which case the values in their data accuracy are value implied in angles of formats to deliver response on

 E.y=h.K

the data implies a value on the process of IN = direction alterations of vector horizon generator turbines inputted into a affect in higher displacement from the tail

= space time on turbines and the velocity value warpings of the similarity to effcts on hyper dimensionality of responses to active height indications and angles of climb by direct control of the vector spaciality of driving  to derive a continuiim charge on the motorics of any value to which the process can modufy the planarity of motion assists.

The criterion is related to Routh–Hurwitz theorem. Indeed, from the statement of that theorem, we have where:

• p is the number of roots of the polynomial f(z) located in the left half-plane;
• q is the number of roots of the polynomial f(z) located in the right half-plane (let us remind ourselves that f is supposed to have no roots lying on the imaginary line);
• w(x) is the number of variations of the generalized Sturm chain obtained from P₀(y) and P₁(y) (by successive Euclidean divisions) where f(iy) = P₀(y) + iP₁(y) for a real y.

 

By the fundamental theorem of algebra, each polynomial of degree n must have n roots in the complex plane (i.e., for an f with no roots on the imaginary line, p+q=n). Thus, we have the condition that f is a (Hurwitz) stable polynomial if and only if p–q=n (the proof is given below). Using the Routh–Hurwitz theorem, we can replace the condition on p and q by a condition on the generalized Sturm chain, which will give in turn a condition on the coefficients of f.

type minimal splitt on the carosse of the vechicle to open a type cleft in the fuselage by the responsive angles of a action reaction by the tail turbine at a angle to the x plane seen from the top view

as the vent shaft of the inputs into complex relations of the generator doing the complex manouvre as on a angle in its turbine head for the input into the ventilations shaft.

sci fi reality….the 10 D hyperspace universe of environment controll.

 

f o r c e   of   t e m p e r a t u r e    v a l u e s

saving the universe environment

a type area relations of coverage

By Henryk Szubinski

the concept of the universal MODELATIONS OF COMPLIANCE TO SIMILAR THEORY BASIS MODULATIONS OF A COMMON VALUE DIVISIVE: ( shown in the illustration).

using DWARF PLANETS AS A COMPARATIVE GUIDE:

A dwarf planet, as defined by the International Astronomical Union (IAU), is a celestial body orbiting the Sun that is massive enough to be rounded by its own gravity but has not cleared its neighbouring region of planetesimals and is not a satellite.^[1][2] More explicitly, it has to have sufficient mass to overcome its compressive strength and achieve hydrostatic equilibrium. It should not be confused with a minor planet.

THIS DEFINES OUR OWN MOON AS A VALUE ON A DWARF PLANET AS A SUSTAINABLE FORMAT FOR GRAVITY ON A ATMOSPHERICAL BALANCE OF ITS ECO SYSTEM THOUGH MINIMAL EVERY PLANET HAS ONE:

the hydroxyle relations are basically the format requirement of gravity on Charion.

The values of roundness imply a minimal level of obtrucive values of pollutats.

The term dwarf planet was adopted in 2006 as part of a three-way categorization of bodies orbiting the Sun,^[3] brought about by an increase in discoveries of trans-Neptunian objects that rivaled Pluto in size, and finally precipitated by the discovery of an even larger object, Eris.^[4] This classification states that bodies large enough to have cleared the neighbourhood of their orbit are defined as planets, while those that are not massive enough to be rounded by their own gravity are defined as small solar system bodies. Dwarf planets come in between. The definition officially adopted by the IAU in 2006 has been both praised and criticized, and has been disputed by scientists such as Alan Stern.^[5][6]

USING DWARF PLANETS AS THE COMMON VALUE OF THE FOLLOWING DATA:

F=m.a

by the usage of a area of force as square in format or a multiple compaction of

x. areas=(l.b.h )g

THE HIGH VELOCITY CYCLING OF THE 10 UNIVERSE THEORIES AS HYPERPSPACE 10 D IN WHICH A RANDOM VALUE AT EVERY 4TH  PROCESS

 (indicated below) is located for a input qualification to be stable in a higher 4 tally than the total of the processess by which environments could alter or be stabilised:

The relative masses of the five known dwarf planets, plus Charon. The mass of Makemake is a rough estimate.

the data on the reduction of processess by which reductions of heat death similarity of

1)

end point vectors =3 D data on the functions of

2)

expansions by the stability of heated areas of spacetime

exp( S-B)=Temp (Area.spacetime)

3)

the data on the formats of a big crunch where the point end is a uncertainty based on a

B.x /random  x = chance 1/100 %

4)

the data on the formats of the big bang as the format of a  minimal amount of values to which the process of a super stillness:

E =-S-1

5)

Any value system that indicates the processess of data on the cold death of the universe as being distributed evenly on the formats of multiple areas in fused plasma reality of flow towards super symmetry:

-C.B =A squ/S.s

6)

data on a dark matter end for the universe as basic as the positionality of a angle multiple in the basics of a missing radial quantal value:

D.m-B.x=r.angle / q

7)

data on the steady state of a continued expansion of the universe by the process of a value to which the processess of action / reaction are valued only by the displacement by similar values of vector displacements : implying a uniform field:

x ( act/react).B =S root.S

data on a format of the continuiims presented as a type 1 10 Dimensional hyperspace universe needs some more:

8)

a universe in a continual flattening of the parameters of its planarity by the process of a increased value of vectors in approach and retractions:

as the limitations of the amount of radial values connected to the values of a limit x = 1/8 in which the repeat responses of a universe in the basics of continued flattening:

B+(S+1)=1/8(Area+1)

9)

data on the formats of a snowball universe as the interactions of the continuous quantal values of quantum mechanics in their data of volumes that fit into the positionality of a minimalised 2 Dimensional value:

Sphere (q+1)=Vol / root 2D

10)

the cosmic soup as a format for a stabilisation of the photon values that define the oppositions of string motion vectorisations where the type Quantum mechnics is similar to a predefined input of a volume into the displaced value responsive of a accerted reality in altered survivals mode:

Vol.p=String (S-x.q)

The same six masses, relative to the Earth’s Moon

what is shown is a end point vector of some general values described below:

the end point of a vector defines the process by which a value of variant alterations in a process of contimuiim apparent values at every 4 th value:

the data on the multiple universes as having in its full volumetrical representation as being dimensionaly CURVATURE  FORM WARPERS

th which the process of modelation is equal to the dimensionality of a fore ground / background

in the 3 D

of a F=m.a process.

THE LOWER THE TALLY OF 4 X VALUES , THE LARGER IS THE TEMPERATURE REVERSAL OF A ICY PLANET ( in the exo planetary list) for example; also applicable in the opposite format..

research data and images courtesy of wikipedia

sci fi reality …eco solutions

 

eco problem solutions by nano technology

By Henryk Szubinski

USING A TYPE DYNAMIC PRESS THE BUTTON FORMAT OF A CASE STUDY AMONGST REPRESENTANT TO ANSWER BY THE VELOCITY OF A HIGH RESPONSE SPEED WHILE THE DOGHNUTS ARE SIMULTANEOUSLY BEING USED WITH THE ANSWER AND SPEED OF THE COMPUTATION TO IMPLY A RESULTANT OF THE ACTUAL USAGE OF THE soh AND h2o IN THE DYNAMICS OF:

answer speed/question accuracy %=volume dynamics of SOH /H2O

involvance as the difference

as such the dougnut levels of force in water and hydroxyle dynamics can be multi staged:

To derive a eco solution..

as regards the flow of problems through a opening of a portal in water seperations, the data on the force of interactions by a retraction from one side by a pull out of involvement

right side-S= left side 1/2 Volume

a type reference to what pulling out of a project such as water force:

isd basically a higher format of involvement it is just that it is seen from the conservational point of view:

Many formats of data in which the SPENT value of division is non interactive/ interactive on minimal levels of the building of barriers in the derived formations of possibilities by nano mashines can fdo the same so that:

S-1= Vol+1

in a type barrier pull out from relationship.

The values are ofcourse progressive, the data on the values in the systems that define the progress of positionality in a value of volumetrical supremacy in the fields of H2O and SOH as being the data interactions of the force to which the generalisation is that water conducts audial waveforms much faster so to can the generations of:

nano Vol+ pull out ( H2O) conductivity x

=SOH ( intetract + F)

as the basics are defined to be functional in the deep response limit of the actiual processess made to processing units in computers the values for the data on how aq value can extinguish a problem is resultant in STRING traces of a extinguishment vector and many of the processess in which data on the force of the process in action as a type force field of altered positionality; the nano solution can go a long way into defining the values of very high interactions witht he data on force processess as being usable by humans.

this kind of data vector process results in a balnce of using the symmetry of mass to force decimals as what is not fnctional for environmental controll:

(.)——————————(.)———————————(.)

This procedure can be applied to a simple but non trivial case: an homogeneous cube die made out of GaAs, L=300 um. The goal is to find the temperature distribution on the top surface. The top surface is discretized into smaller squares with index i=1…N. One of them is considered to be the source.

Taking the Laplace transform to the heat equation:

where

Function is expanded in terms of cosine functions for the x and y variables and in terms of hyperbolic cosines and sines for z variable. Next, by applying adiabatic boundary conditions at the lateral walls and fix temperature at the bottom (heat sink temperature), thermal impedance matrix equation is derived:

Where the the index j accounts for the power sources, while the index i refers to each small area.

For more details about the derivation, please see Prof. Batty’s paper, ^[2]. The below figure shows the steady state temperature distribution of this analytical method for a cubic die, with dimensions 300 um. A constant power source of 0.3W is applied over a central surface of dimension 0.1L x 0.1L. As expected, the distribution decays as it approaches to the boundaries, its maximum its located at the center and almost reaches 400K

A rhetorical question is a figure of speech in the form of a question posed for its persuasive effect without the expectation of a reply (ex: “Why me?”)^[1] Rhetorical questions encourage the listener to think about what the (often obvious) answer to the question must be. When a speaker states, “How much longer must our people endure this injustice?”, no formal answer is expected. Rather, it is a device used by the speaker to assert or deny something

on what causes the formats of data to be point dark specific and in many cases a format of formative data volume force fields is also a question that poses the serious answer of what a problem in multi relational values of velocity and the case scenario IN CASE OF

as the emmergency on Earth.

Basic sublevels of formats in data of which a fragment is known and in which subsequent data on the force of usage to formats of responsive usage of the devices to save the ecosystem and to maintain a similar question of what the data would be resultant to:

The problems of earth are not ecological, they are dependant on the force of the whole. so that to define why a basic problem is not a problem, the values of comparative mean values must be mean calculated over and over again.

However there is a point to which subsequent research has not defined the limitations of :

Main article: Limit of a function

Whenever a point x is within δ units of p, f(x) is within ε units of L

For all x > S, f(x) is within ε of L

Suppose f(x) is a real-valued function and c is a real number. The expression

means that f(x) can be made to be as close to L as desired by making x sufficiently close to c. In that case, we say that “the limit of f of x, as x approaches c, is L“. Note that this statement can be true even if f(c) ≠ L. Indeed, the function f(x) need not even be defined at c.

For example, if

then f(1) is not defined, yet as x approaches 1, f(x) approaches 2:

f(0.9)	f(0.99)	f(0.999)	f(1.0)	f(1.001)	f(1.01)	f(1.1)
1.900	1.990	1.999	⇒ undef ⇐	2.001	2.010	2.100

Thus, f(x) can be made arbitrarily close to the limit of 2 just by making x sufficiently close to 1.

Karl Weierstrass formalized the definition of the limit of a function into what became known as the (ε, δ)-definition of limit in the 19th century.

In addition to limits at finite values, functions can also have limits at infinity. For example, consider

• f(100) = 1.9900
• f(1000) = 1.9990
• f(10000) = 1.9999

As x becomes extremely large, the value of f(x) approaches 2, and the value of f(x) can be made as close to 2 as one could wish just by picking x sufficiently large. In this case, we say that the limit of f(x) as x approaches infinity is 2. In mathematical notation,

research courtesy of wikipedia