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Aero mobile new orbital extensions


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Title: Aero mobile new orbital extensions

Evgeny Gorbachev
  • Pilots of the future 21-st century
    breakthrough(Intellectual Secure Project-
    Federation version for collaboration (quorum)

Term I.
  • ? - ?20(2m-1)(2m-3)Sn-1i0pilog(pi) S?0
  • I (efficient energy)
  • m Degree of freedom (1.8)
  • n - Integer
  • p Energy state probability (microscope level)
  • (Information capacity in bits per symbol
  • ?0 - zero oscillation
  • Sn-1i0ni information volume estimation
    (cipher impulses quantity)

Term II. New effect term.
  • fmt ? II
  • t- Time scope
  • ? - Efficiency.
  • Time-efficiency in understanding a problem
    depends largely on its representation and
    consequently on the selecting of the appropriate
    data structures.
  • The inferences derived by a production system per
    unit time, also called time efficiency, can be
    improved by reducing the matching time of the
    antecedents of the production rules with data in
    the memory maps.

Intellect quality. Neuron network equilibrium.
  • Object neuronet quasi-static potential
    injection transistor mode complex analogy RLC
    attractor circuit
  • In result algorithm released thermo dynamics
    equillibrium neuronet state with nano-structures
  • s -2953387,603 (object quasi-static neuronet
    charge Kulon interaction analogy.

  • After equillibrium active state is
    quasi-dynamics, tompson precession-hyroscope,
    thus is neuro-network transition.

Space model. Introduction.
  • I
  • dE
  • ?
  • Entropy differential is transition result in
    quasi perception cycle iteration, k- counter it
    is plane where information and efficiency from
    economic and cognitive point of view is absolute.
    Economic aspect in this transition is intents
    universal system with intellect, method of
    control, topology, logical and heuristic
    realization, and information theory.

Points (charged potentials, different type
attractors) super tunnel model
  • Field-field dissipation with spherical angle.
  • R1, R2 -ellipse radius
  • L1 L2electron-positron active trajectory
  • T - Spherical angle (spatial angle)
  • Picture 0.001. Quasi-atom trajectory
    angle rotation.

Fields dissipation or gravity force and
oscillator system interaction)
  • FM D2 G M1 M2 sin ? 4p ?e G M1
    M2 IX
  • FM object magnet interaction force (field-field
    energy type interaction)
  • D balanced cosmic object orbit diameter (gravity
    system presents)
  • L position-position object distance vector
  • M1, M2 hyperspace objects weight
  • ? Spherical object-object dissipation angle.
  • ?e antigravity field energy spectrum
  • For understanding term spherical angle in plane
    approximation we can calculate it with taking
    into account source conditions, such as
    coordinates, example goes atom flight trajectory
    distance. Thus agreed with cosines theorem we
    will conclude in next equation

Jan Carl Vick angle
  • Cos (?) ((x2-x1)2(y2-y1)2-2R2R2(1-cosL2/R2)-
    2R1R1(1-cosL1/R1)) 2R1R2( (1-cosL1/R1)(1-cosL2

Prototype release stages. Scheme analogy building.
  • ?e V? m?Qz?I2 X
  • Qz- O- quasi-quantum layer complex
  • (Analogy flux quantum, soliton atom)
  • ? Magnetic conductivity,
  • V Light quantity volume,
  • ?e Antigravity field spectrum,
  • m Freedom degree metric,
  • ? - Angular frequency,
  • I bispinor current,
  • ? Binding condition.

New method investments. Pre-programming.
  • Bio-Regeneration Description (BRD method-?NN
    supervised learning algorithm)
  • Energy source
  • Reflector
  • Censor register
  • Old information source
  • Force rotation
  • New time-line initialize
  • Cortex columns layers -charge impulse start
  • Relation point change
  • Neuron cell contact information demand
  • ?NN centers activation(regeneration) with
  • Logical scheme internal chemical potential
    generation (H, Na,K,C)
  • Organic structure synergy update
  • Life systems and life-cycles progress
  • Quality cycle and new algorithms generation
    method progress
  • Bio-energy resources management
  • Algorithm programming (Procedures, functions,
    includes implementation)
  • Support analytics and materials
  • Assumptions and assistance.

  • Sound spectrum wave function phonon
    pseudo-potentials pseudo-scaler field.
  • Wave function graphic m1,k10
  • Phonon static potential neuro-nets transfer

New system term
  • In term -system we should understand every
    system human thought in living space and
    dimensions in his human life-cycle. In term
    thought we should understand every, human
    thinking, ability in mankind cognition in
    intelligent form.

Noid as an adaptive intent with control
  Perception window method/function (attribute) Self-control level (Induction) Trustworthiness trans-code(triplets)
Hyponoid Hypothesis prove us principle postulate 500
Genoid Genom representation and explore 400
Technoid Technology improvement, knowledge building 300
Solyaroid, Tabloid Intellect philosophy us programming concept 200
Unixoid New memory regeneration us compile 160
Lynuxoid Interest activation us tracing 140
Programmoid Logic us interface programming 120
Cybernoid Logic extension us intellect interpretation 110
Entroid Progress us quality cycle 100
Juderoid Quality mark us Cost 99
Uneroid Analysis us Statistics 75
Android Comparison us Analysis 61
Denoid Cost us Comparison 51
Metamorfoid Statistics us Conditions 44
Shizoid squazoid, Conditions us Sensitivity 30
Humonoid Bio-sensitivity us self-control 20
Cybernetics managements system. Directions.
  • Human mission Directive steps
  • Energetic source search
  • Human life saving
  • Human life processing probability mark
  • Planet ergonomics.
  • Work with electromagnetic white noise and sinuses
  • Computer memory scanning, global networks
    messages filtering
  • Failure liquidation
  • Life system action support
  • Healing and cure
  • Social vision
  • Business improvement

Elastic stress matrix.
  • (?3p) 5 (5?-3p) 26 G5 (5G-6p) XI
  • n- Balanced network atom/super atom (Cluster)
    contact in structure constant,
  • 26 64 ??? Logical quantum code in certificate
    or license form,
  • p Euclidian space mathematical constant
  • G Gravity constant, 2 physical moments binding
    condition is ? 2Qz -3p (complex value)
  • Qz? /R? L fm/R?FI fmK ?e V?/
    mI2? XII
  • Cluster balanced network complex binding
  • M Moment,
  • FI - inertial system force
  • fm- time frequency efficiency (criterion)
  • m System determination parameter,
  • K Coefficient,

Evolution transcendental balancing.
  • 214Qz5 G5 (5G 6p) ln (6p4Qz2) 3
  • Theorem initialization
  • Biotic positive ANN m-layers determination system
    activity can be integrate with network system
    capacity and entropy, and activity is
    indetermination reverse metric resulting in time
    function, switching ability and other
    well-defined abilities.

Bionics. Structures, Experiments.
  • This knowledge will be useful in evolution
    process such as progress and new level-matrix
    memory devices, future cosmic vision and far from
    the Earth missions and flights. Also in cognition
    process this will be useful in new methods

New adaptation systems.
  • Fault-tolerant solution clusters are new
    generation logic and new way to think or know
    how devices.

Atom energy stations cluster
  • plasmoid- ATF synthesis result (H complex)

Matrix transition in effect space
  • E 0.027?ln (??)kT/ QM
  • ? absorbed mass,
  • ? effect,
  • ? - time,
  • T temperature,
  • QM mass flow.

Power transition.
  • ?(t) ?0(1(a/ ?0)sin(Ot)) XVIII?0
    zero(carrier) harmonic frequency, signal phase
    difference on high frequencies,
  • ?t information signal frequency,
  • a -Phase modulation depth,
  • O Phase modulation signal frequency.

Soliton pair
  • E V?e m??QzI2/? XX
  • m Freedom degree,
  • ? Magnetic conductivity,
  • I Bispinor current,
  • Qz Soliton constant,
  • ? Angular frequency (rad/sec),
  • ? Balanced atom complex constant.

Energy restoration
  • E ?(m?QzR?I2/?EV )2 ?XI
  • ? Absorbed quantum mass,
  • m Freedom degree,
  • R Radius,
  • Qz Phase shift,
  • ? Field quantum Binding constant,
  • ?- Flux conductivity,
  • I Current in circuit,
  • ?E Energy density,
  • V Volume.

Quasi-elastic force rotation.
  • boost 3D view

  • This force vector rotation is appropriate effect
    in modeled space with inductive and
    spatial-temporal space metric. See formula IXa
    and appropriate graphics. Also we should mention
    that this effect is antigravity.

Gamma radiation.
  • ?0,7734479448 ? 0,36614.

New hyperspace model.
  • 2 ? - ln( 3 7 ?20t)
  • Modulation XXVI
  • E0(23/2/3)(m3/?0)
  • Energy initiation XXVII

New Ryman metric for reseaches with phase shift
  • Delta(kx-?t)2,1124367 (constant phase wave
    point, wave front phase speed is constant)
  • k- Elasticity coefficient
  • x- Distance
  • ?- Angle frequency
  • t complex time
  • And the wave function we calculate is
  • u(x,t) Aexp(ikx-iwt) is well-known
    progressive(running, travelling) wave.

Wave function extremums search
Spectral characteristics shape
Field energy density
  • In phonon gas field energy density and Plank
    energy density we can calculate energy flow
    temperature parameter for different oscillators
    types and frequency spectrum. Also we will result
    in phase speed as flow additional metric.

Transducted space
New space planets satellites measurements.
  • So we have found new interests in celestial
    mechanics and planet self and relative
    orientation in planet orbits shapes. Also we will
    make an attempt to calculate or find-out some
    astronomy parameters. In continue of exploration
    we have found some new Internet-solutions for
    discovery improvement progress.
  • Also we should mention that new way to understand
    progress is hardware or software upgrades or if
    we need invention in progress dimension. Now
    having energy spectrums, densities and
    oscillations modes we can come to new gravity
    mechanisms constructions with a great charge,
    tempo and potentials. Energy transformation will
    become new effects in complex systems dynamics
    analysis. We should combine our knowledge and
    structure it in new tables, data and knowledge
    bases to develop new prototypes for mankind can

  • In addition I would say about homeostatic machine
    we are driving in our purpose realization. This
    will be 4-th experiment in this work and will
    explain some new facts in new doctrine building
    progress. Artificial gravity systems projection
    as you understand is nearest decades question in
    mathematical physics science. It will demand
    several research teams work in this direction and
    several new science exploration programs in
    appropriate ministry.

  • That was interesting is to result in stabilitron
    cube in assumption that is current form of
    cascade chain or bridge with manage and
    stabilization functions. Also we have progressed
    in electromotive force that is Faradays law in
    classical form. Now and in the future we will
    estimate dynamics and fields with different
    characteristics and directions in effect
    dimension with appropriate entropy differential
    and new information. In atomic or quantum logic
    we have get Lithium, oxygen, nitrogen, fluorine
    and Helium logic with flow control and charge
    regeneration with potential difference and
    current estimation.

  • Now we can imagine that all coding process is
    just new or well-known transduction with digital
    signal or phase signal integration. This progress
    type is the way to understand, for example,
    voltage fallouts while regeneration progress real
    charge. It can be a way to understand infinity in
    a new way. It also can be related with magnetic
    field any type changes with value difference or
    over-voltages reasons related with any scheme
    element conditions change or warmth dissipation.
    Also it can be any-type effect dimension impact
    with information and entropy changes as it was
    modeled previously. This could be sphere of next
    period research phase in the future for research
    teams and can become new work reality. At the
    same time it can become forecast horizon problem
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