sci fi reality….oxygen productions plants…&/or vechicles

 

the basics of oxygen productions

and / or vechicle motorics

By Henryk Szubinski

Many problems in AI can be solved in theory by intelligently searching through many possible solutions:^[96] Reasoning can be reduced to performing a search. For example, logical proof can be viewed as searching for a path that leads from premises to conclusions, where each step is the application of an inference rule.^[97] Planning algorithms search through trees of goals and subgoals, attempting to find a path to a target goal, a process called means-ends analysis.^[98] Robotics algorithms for moving limbs and grasping objects use local searches in configuration space.^[67] Many learning algorithms use search algorithms based on optimization.

can topology be reversed by using a locator on the values of a curvature variance that is faster than usual computations with a greater certainty of vechicle usage in flying cars or spaceships:

basics of pure curves is that they too do decrease in size but of a greater certainty in computing the differencials when the basis of the previous inclines are supported by a balance of planarities on the data that follows:

A ( planar difference ) F = angle . time

Simple exhaustive searches^[99] are rarely sufficient for most real world problems: the search space (the number of places to search) quickly grows to astronomical numbers. The result is a search that is too slow or never completes. The solution, for many problems, is to use “heuristics” or “rules of thumb” that eliminate choices that are unlikely to lead to the goal (called “pruning the search tree“). Heuristics supply the program with a “best guess” for what path the solution lies on.^[100]

A very different kind of search came to prominence in the 1990s, based on the mathematical theory of optimization. For many problems, it is possible to begin the search with some form of a guess and then refine the guess incrementally until no more refinements can be made. These algorithms can be visualized as blind hill climbing: we begin the search at a random point on the landscape, and then, by jumps or steps, we keep moving our guess uphill, until we reach the top. Other optimization algorithms are simulated annealing, beam search and random optimization.^[101]

Evolutionary computation uses a form of optimization search. For example, they may begin with a population of organisms (the guesses) and then allow them to mutate and recombine, selecting only the fittest to survive each generation (refining the guesses). Forms of evolutionary computation include swarm intelligence algorithms (such as ant colony or particle swarm optimization)^[102] and evolutionary algorithms (such as genetic algorithms^[103] and genetic programming^[104][105]).

DATA COURTESY OF WIKIPEDIA

data on the force of the make shake break of 3 levels of data on the height of the frontal areas in SOH and H2O as the data on forwards motion of the oxygen process in a direct oxidisations process = to values implied to value ahead of data on why any excuse = x

F=m.a

can be defined by the protocol proto mass in effect as any value input

m=F/a

functioning like a pump that is basic to the levels of constructive data on the force as maintaining the data on the equation of a laterance in sheer slipp plane velocities as the values inpoutted as implied to value the data protocol ahead of the value similarity of a simulative level:

SIMULATING RESPONSIVE SIMILARITY:

Artificial intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Textbooks define the field as “the study and design of intelligent agents,”^[1] where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success.^[2] John McCarthy, who coined the term in 1956,^[3] defines it as “the science and engineering of making intelligent machines.”^[4]

The field was founded on the claim that a central property of humans, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine.^[5] This raises philosophical issues about the nature of the mind and limits of scientific hubris, issues which have been addressed by myth, fiction and philosophy since antiquity.^[6] Artificial intelligence has been the subject of optimism,^[7] but has also suffered setbacks^[8] and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.^[9]

AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other.^[10] Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems, longstanding differences of opinion about how AI should be done and the application of widely differing tools. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.^[11] General intelligence (or “strong AI“) is still a long-term goal of (some) research.^[12]

sci fi reality….Earth ecological reductions of CO2

 

c o  2   d a t a  r e v e r s a l

By Henryk Szubinski

data on possibility in dissactivations of B bit basis of

SOH——-ion ————–>altered data on Force of motion dynamics of Earth = H2O

influx by dissonance H2O of data on Compliance of  alterance in data on FORCE of high

alterations by systems of progressive data on alterance by a sequenced data on Force of common

stage 1<——————–as approach to stage 1 effect of a deccellerations<<<<——a————-=-3 connector

 minimal data effcts in process = In -DE- EFFECT

=high aquirive process =

definition response——————>H2O data minimalisations

CAUSE = clause frequency audiality

as data on O2 formats of reversed sonic booms in usage

stage 1<——————–as approach to stage 1 effect of a deccellerations<<<<——a————-=-3 connector

SCI FI REALITY…..3 TURBINE DECELLERANCE VECHCICLE

 

A   N E W  T Y P E   O F   L I F T

By Henryk Szubinski

freedoom of knowledge developments of the 5th law framework Chordis6

THIS MOTOR TYPE WILL DO THE DECELLERATIONS ON RETURN PROCESSESS AS SIMULATEDPOSITIONALITY = DECELLERATION ON THE BASIS OF HIGHER ROUND ABOUT RESPONSES TO THE CYCLIC FORMATS OF RECONNECTING TO A HIGHER ANGLE OF DECCELLERATION:

The most common processing approach in the time or space domain is enhancement of the input signal through a method called filtering. Filtering generally consists of some transformation of a number of surrounding samples around the current sample of the input or output signal. There are various ways to characterize filters; for example: A “linear” filter is a linear transformation of input samples; other filters are “non-linear.” Linear filters satisfy the superposition condition, i.e. if an input is a weighted linear combination of different signals, the output is an equally weighted linear combination of the corresponding output signals. A “causal” filter uses only previous samples of the input or output signals; while a “non-causal” filter uses future input samples. A non-causal filter can usually be changed into a causal filter by adding a delay to it. A “time-invariant” filter has constant properties over time; other filters such as adaptive filters change in time. Some filters are “stable”, others are “unstable”. A stable filter produces an output that converges to a constant value with time, or remains bounded within a finite interval. An unstable filter can produce an output that grows without bounds, with bounded or even zero input. A “finite impulse response” (FIR) filter uses only the input signal, while an “infinite impulse response” filter (IIR) uses both the input signal and previous samples of the output signal. FIR filters are always stable, while IIR filters may be unstable. Most filters can be described in Z-domain (a superset of the frequency domain) by their transfer functions. A filter may also be described as a difference equation, a collection of zeroes and poles or, if it is an FIR filter, an impulse response or step response. The output of an FIR filter to any given input may be calculated by convolving the input signal with the impulse response. Filters can also be represented by block diagrams which can then be used to derive a sample processing algorithm to implement the filter using hardware instructions

data process response:

Global warming is the increase in the average temperature of the Earth’s near-surface air and oceans since the mid-20th century and its projected continuation. Global surface temperature increased 0.74 ± 0.18 °C (1.33 ± 0.32 °F) between the start and the end of the 20th century.^[1][A] The Intergovernmental Panel on Climate Change (IPCC) concludes that most of the observed temperature increase since the middle of the 20th century was caused by increasing concentrations of greenhouse gases resulting from human activity such as fossil fuel burning and deforestation.^[1] The IPCC also concludes that variations in natural phenomena such as solar radiation and volcanoes produced most of the warming from pre-industrial times to 1950 and had a small cooling effect afterward.^[2][3] These basic conclusions have been endorsed by more than 40 scientific societies and academies of science,^[B] including all of the national academies of science of the major industrialized countries.^[4]

^{EFFECT RESPONSE}

^{Table tennis is a sport in which two or four players hit a lightweight, hollow ball back and forth with rackets. The game takes place on a hard table divided by a net. Except for the initial serve, players must allow a ball played toward them only one bounce on their side of the table and must return it so that it bounces on the opposite side. Points are scored when a player fails to return the ball within the rules. Play is fast and demands quick reactions. A skilled player can impart several varieties of spin to the ball, altering its trajectory and limiting an opponent’s options to great advantage}

^{ALTERNATING ALTITUDE HEIGHT}

In the mathematical sciences, a stationary process (or strict(ly) stationary process or strong(ly) stationary process) is a stochastic process whose joint probability distribution does not change when shifted in time or space. As a result, parameters such as the mean and variance, if they exist, also do not change over time or position.

Stationarity is used as a tool in time series analysis, where the raw data are often transformed to become stationary, for example, economic data are often seasonal and/or dependent on the price level. Processes are described as trend stationary if they are a linear combination of a stationary process and one or more processes exhibiting a trend. Transforming these data to leave a stationary data set for analysis is referred to as de-trending.

An important type of non-stationary process that does not include a trend-like behviour is the cyclostationary process.

Formally, let X_t be a stochastic process and let represent the cumulative distribution function of the joint distribution of X_t at times . Then, X_t is said to be stationary if, for all k, for all τ, and for all ,

CONNECT SIMILARITY

looking at it from a altered side

TAIL SECTION———————————–NOSE SECTION

A mast cell (or mastocyte) is a resident cell of several types of tissues and contains many granules rich in histamine and heparin. Although best known for their role in allergy and anaphylaxis, mast cells play an important protective role as well, being intimately involved in wound healing and defense against pathogens.^[1]

^FORCE

^{the generlisations of mast cells is that they use the same format of a general force to motivate their vector displacements even though they are basically alon in their cellular formats they can maintain a motion by the sigle cell inside it due to a positional flux alteration of3 functions}

^{1) the cell internal volume}

^{2) the whole cell volume}

^{3) the cellularity of 1 dimensional values as the relations where the interactions by calculations =to general balance or motivated force in motion.}

all mast cells exist in a force of compression which defines a value that motives their lim x = volume 3 as the motion of the minimal group of its sustainement by common vectors:

Newton’s third law is a result of applying symmetry to situations where forces can be attributed to the presence of different objects. For any two objects (call them 1 and 2), Newton’s third law states that any force that is applied to object 1 due to the action of object 2 is automatically accompanied by a force applied to object 2 due to the action of object 1^[16]

This law implies that forces always occur in action-and-reaction pairs.^[10] If object 1 and object 2 are considered to be in the same system, then the net force on the system due to the interactions between objects 1 and 2 is zero since

This means that in a closed system of particles, there are no internal forces that are unbalanced. That is, action-and-reaction pairs of forces shared between any two objects in a closed system will not cause the center of mass of the system to accelerate. The constituent objects only accelerate with respect to each other, the system itself remains unaccelerated. Alternatively, if an external force acts on the system, then the center of mass will experience an acceleration proportional to the magnitude of the external force divided by the mass of the system.^[2]

Combining Newton’s second and third laws, it is possible to show that the linear momentum of a system is conserved. Using

and integrating with respect to time, the equation:

is obtained. For a system which includes objects 1 and 2,

which is the conservation of linear momentum.^[17] Using the similar arguments, it is possible to generalizing this to a system of an arbitrary number of particles. This shows that exchanging momentum between constituent objects will not affect the net momentum of a system. In general, as long as all forces are due to the interaction of objects with mass, it is possible to define a system such that net momentum is never lost nor gained.^[2]

sci fi reality……….3 person launcher

 

d a t a   o n    t h e   l i f t   v e c h i c l e

capsule for 3 person lift to space orbits and on to planetary  and /or sattelite systems ( moon)..

by Henryk Szubinski

3 person body mass calculator for space zero gee environments with the basics of fluidity in which body weight = alterations of the legs dangling in the open format tube:type 1 acclimatisations of the pressure simulations of the string track zero gravity simulator in pre launch status for a go for the same parameters:body mass instability of a common noncentrations of human body mass values in the alterations of the clipps:

THE ION RAYS ARE LIFTED BY THE CLIPP SECTION ” CLEANER CLIPPS ”

as they are used when the vechicle rotation begins to impulse to a angular momentum =where the secion of the cleaner clipps folds out by non hinge interaction but by both the magnetic charge of the ions on the clipps lower side charged as the ions moove through the general tube .

boost pull outwards from a status 3 men only 1/3 as mashine

to which basics of STILL NO LAUNCH FOR halver rates:

basics of reasoning in externalisations = basic reasponse extensions:

data on the formats of the process in the make to shake formats of waveforms and their indicative value plus in value additions of the data on how a generator in formats of data that are = basic liner responses made to format the waveform by the basics of weight in gravity aclimitasations and the basics implied to function at the levels of data as formats of progressive wave format attractions into the tubularity of the basic data F=m.a

On the processings of data value / data as height / progressive oppositiional pressures of the fluids and solid based data responses in a effect on which the total acclimatised value responses based on data in its process of a general divisive height = calculational formats of the data on processing a value implied to have data on force processess = a gradual format increase of the value in divisive decimal quantality by the formats of data effects on lift by arttificial intelligence motivations of the whole spacial usability of space time advanced higher relational velocity of what causes the hyperspace relations of the gravity opposed anti matter type 1 artificial gravity..