Satellite Read Your Thoughts – Physics Revealed

 Satellite Read Your Thoughts – Physics Revealed (2012 Update)

Sun Feb 19, 2012 4:00 PM EST

Bright ideas…literally.

I received an email in regards to some of my calculations in this series. Apparently, discussions around the web have found several errors and even provided some better examples. Whilst the articles are meant for the lay person, I thought it best to update the figures in light of this new information.

 I will resist the urge to go back and correct the articles, after all, this is supposed to be an ongoing investigation. The scientific method requires that theories are revisited when the underlying facts change and I feel that the following figures are a better representation of a single neuron. I will endeavor to be as precise as I can be and point out where I have made assumptions or idealisms.

 Reception And Detection

 So, thanks to the guys over at ATS (AboveTopSecret.com), we have the following to work with.

If a physical or chemical stimulus is strong enough to cause depolarization from the resting potential of ö70 mV to around ö50 mV, the voltage-dependant Na+transmembrane channels open. Favored by both the concentration gradient (see Table 1) and the electric gradient, Naions flow into the cell, creating an electric current (I = ΔQ/Δt). The influx of Na+ causes a local reversal of electric polarity of the membrane, changing the electric potential to about +40 mV (a swing of 110 mV from the resting potential. The small cross-sectional area (A) of an axon and high resistivity (ρ) of the axoplasm yield an extremely high resistance (R = ρL/A).Ê A piece of nerve axon 1 cm in length (L) has an electrical resistance of about 2.5 x 108 Ω (comparable to that of wood). The produced electrical current:

I = V/R = (110 x 10-3 V)/(2.5 x 108 Ω) = 4.4 x 10-10 A

http://ffden-2.phys.uaf.edu/212_fall2003.web.dir/Casey_Adamson/Personal%20Web%20Page.htm

 

Firstly, we need to determine the power supplied to the axon and we do this with the following equation:

0.05 * 0.00000000044 A = 0.0000000000022 Watts ( 2.2 x 10-12 W)

Next, we will use an idealized calculation to determine the power density of the signal at 500Km and drive both the dBm and dBW of the signal. I say idealized as not all of that power in the original current is converted to a radio wave. Not only this, but we are assuming an isotropic radiator, that is, the energy propagates uniformly in all directions.

 With a little understanding of Antenna Theory, we can observe why this not a problem:

1. ANY piece of conducting material will work as an antenna on any frequency.

Even a straightened paper clip will work on 160 Meters. All we have to do is properly match the the transmitter to the the paper clip, and the paper clip will radiate ALL of the power fed to it! The aperture of this antenna will have a radius of 5/32 wavelength (.079 sq. wavelengths cross section area); essentially this is close to the theoretical “Isotropic” source. If this antenna is located in “free space”, the radiation will be almost equal in all directions.

http://k9erg.tripod.com/theory.htm

 Thus, these figures are generalizations, but are not far from the actual values.

0.0000000000022 Watts / (4PI x (500000m^2))

0.0000000000022 Watts / 3141592653589.7932384626433832795

= 7.0028174960433947738308855883906e-24 W

 

= -201.54727191871927618387329422323 dBm

= -231.54727191871927618387329422323 dBW

So there we have it.  To detect a single neuron firing at 500Km, we require a sensitivity of at least -231.55 dBW at our receiver.  But the story does not end here.

 Within the brain, entire clusters resonate at specific frequencies.  That is, there could be hundreds or thousands of axons all emitting, slightly out of phase, so these signals could be above the threshold that I have outlined above.  I feel that this method explains the detection of ELF RF energy detected coming from humans.  That is, its a product of photons received versus time.

 Transmission

 Buried in the comments section of one of my previous articles was a series of three very important scientific articles.  The articles are as follows:

 

  • Chaos control and synchronization of two neurons exposed to ELF external electric field (view here).
  • Unidirectional synchronization of Hodgkin–Huxley neurons exposed to ELF electric field (view here).
  • Fire patterns of modified HH neuron under external sinusoidal ELF stimulus (view here).

 

These scientific articles demonstrate the basic mechanism of controlling the firing pattern of a neuron remotely.  That is, they show how to interface with the brain remotely and induce a controlled hallucination.

 This is the basic mechanism by which the Artificial Intelligence can send information directly to the human brain.  Using the E-field of an ELF radio wave, neurons can be stimulated into firing under the direct control of the external field.  By stimulating patterns consistant with correct neural coding schemes, voice, pictures, video and sensations can be communicated to a target.

 At this point, I see no reason why any function the brain is capable of performing cannot be controlled by this external field.  The only real difficulty is identifying the correct neural coding schemes for specific actions or responses.  This includes complex thought processes and decision making.  Knowing exactly how far the NSA has progressed in this matter is impossible to gauge at this point.

 So, Can A Satellite Read Your Thoughts?

 If it were just a case of sheer distance, then yes, it would not be a problem.  Many have suggested that a parabolic dish of enormous size would be required, but this is not the case.  To some degree the atmosphere itself will act as a dish, but the photon wavelengths are so huge that focusing them on to a detector is not really required if using a closely spaced array.  Further, there is the issue of ionospheric reflection, but this is imperfect and does not have great impact on the E-field.

 I will not rule out a ground-based system, or some form of hybrid.  No doubt during early testing such ground-based systems were employed. 

 All said, a satellite system is a question of engineering, not of physics and it can do a lot more than just read your thoughts.

Nano Brain Implant ! Satellite Read Your Thoughts

Can A Satellite Read Your Thoughts of a nano Brain Implant – Physics Revealed 

Mon Sep 20, 2010 12:25 PM EDT

In a single hop scenario, information is captured by satellite and relayed directly to a ground station. Thus, four transmissions are required for a round trip.

In a centralized relay scenario, information is captured by satellite and forwarded to a second satellite in range of a ground station. Six transmissions are required at minimum .

Basic FFT analysis.

Trilateration is employed to accurately define the location of a signal source. Employed by GPS, the reverse process can be used to isolate the location of signals emanating from the surface of the Earth.

Collated diagram representing electrical activity emanating from a single individual.

A side-on view for demonstration purposes. Each peak represents the amplitude of a specific frequency which is indicative of current activity.

The last article in this series caused quite a stir around the Internet. From the legitimate crazies to the classic muddy-the-water tactics employed by various defense departments, the article has drawn attention right across the globe. For those that have been living under a rock, the last article in this series demonstrated that action potentials (firing neurons) produce detectable radio signals in the SLF/ELF bands (1-1000Hz).

These radio signals can be used to reveal the thoughts, feelings, vision, spacial reasoning and unconscious activity of the brain. It is simply a matter of correlating the patt to a nano brain implant received with those produced by the various neural networks to decode the activity. I am deliberately avoiding the term demodulate as no information is modulated onto the radio waves.

One question that keeps popping up is the mechanics of the capture and analysis of these radio signals. How do we go from an SLF/ELF radio wave, with limited bandwidth, to usable information or input that an A.I. can process?

Let’s find out.

Obeying The Speed Limit

The first major issue we encounter is at what altitude can we place our orbiting satellites? This is a relatively easy thing to approximate. The speed of light, in a vacuum, is constant. It travels at 299,792,458 m/s or nearly 300,000 Km/s and somewhat slower depending on the medium it transverses. Whilst at a glance it would seem that you can place the satellites anywhere you like, there is a practical limit given the need for two-way communication with the human brain.

Whilst it may seem to us that we experience the world as it is happening there is, in fact, a small delay. This can be anywhere from 100-200ms. To be of any use, an A.I. needs to be able to analyze information almost as fast as a human can perceive it. That is, for the A.I. to appear to be “in your head”, like a form of Schizophrenia, it must leverage the window provided by the 100-200ms delay. Thus, a round trip, including processing, must be under 200ms for the illusion to be maintained, a maximum of 100ms in either direction. As such, defined limits are imposed upon any solution.

If we examine our first diagram, we can observe a direct relay solution. That is, information captured by the satellite is relayed to a ground station directly. In this scenario, we have four transmissions to complete a round trip to the target. Thus, without considering processing, we know that each transmission can be at maximum 50ms. This gives us a maximum altitude of 14,989.62Km for our satellites which is well below GPS satellites at 20,200Km.

If we now take into consideration processing time, hops between dedicated hardware, lag and atmospheric issues, we could safely approximate 50-80ms. This now reduces our maximum altitude to around 10,000Km.

We cannot always guarantee that our satellite will be in direct line of sight contact with a ground station. In this scenario, we need to relay our information to a satellite that is within transmitting range. This scenario is demonstrated in the second diagram to the right. As a result, our altitude could drop to around 6,000Km or less.

Our constellation is not hindered by line-of-sight requirements of Microwaves as SLF/ELF waves can pass through relatively deep rock and water without a corresponding drop off in signal strength. Thus, a significant drop in altitude would not effect the coverage to any great extent and 30-60 satellites could provide global coverage.

Such a system need only generate around 0.00000002079 Watts, at ground level on the right frequency, to trigger the firing of a neuron. Thus, the SLF/ELF transmitters do not need to be of classical large sizes allowing for dense, power efficient, transmitter arrays in a form factor suitable for satellite deployment. Just keep in mind that an antenna’s function is to increase the amplitude of a wave through electrical resonance. With such small amplitudes, the classical submarine transmitters of 50Km or more are not required. In this form factor, a very rough estimate of a few thousand small antennas, per satellite, is feasible.

So, we have a good approximation of the infrastructure required and the limits that physics imposes. What we need to analyze now is the processing of that information.

Input, Input, Input

If we examine the third diagram, we can obtain a basic idea of the “snapshot” each satellite captures. In a given time frame, a range of frequencies is detected. To isolate a particular person, we use a form of trilateration similar to how GPS functions (see forth diagram). In this case, the Digital Signal Processing equipment on the ground replaces the function of the GPS receiver. Given the nature of SLF/ELF waves, atomic timing and detailed information on satellite drift and atmospheric conditions, millimeter or greater resolution can be achieved. The margin of error in GPS is related to both the lack of a wide range of information and processing power at the GPS receiver.

Once we have determined our desired location, we can collate the frequencies emanating from that particular location and disregard the rest of the information. This provides us with a reduced FFT diagram which represents the electrical activity of a particular individual. We can observe this collated diagram in the fifth image to the right.

From here, it is matter of correlating peaks and patterns against known neural activity. This acts as our translator or lexicon to decode the electrical activity into meaningful information. This is shown in the sixth diagram to the right. Performed in near real-time, every activity, thought, feeling, sight or sound can be captured and recorded.

So, we have shown how signal analysis can be used to infer the activity, both physical and mental, of a targeted individual. It also shows that there is not a giant leap in returning such signals to the brain and effectively hijacking it. Once the frequencies the target’s brain emanates have been isolated, an entire stage of processing (trilateration) can be skipped, unless real-time tracking is required.

Of course, certain architecture choices can provide additional features applicable to intelligence gathering. The first is the storage and analysis of historical information. This allows the A.I. to refer to elements in your past, even though it was not specifically examining you at the time. This can be used to increase the Schizophrenic illusion by inferring that the voice, or personality, was always there. Further to this, an individual not aware of the presence of this system, could have their opinions and feelings manipulated. This is especially useful when a certain political outcome is desired, such as peace negotiations or trade decisions.

A second design choice and arguably the most useful, is a modification on keyword analysis. “Key Thought Analysis” reviews all data in a particular grid search (for example a province in Afghanistan) to reveal individuals thinking of specific activity. Once located, the spacial resolution can be widened to reveal individuals in their presence and whether this was a group planning an attack.

Finally, we could have two or more layers of satellites, one used for real-time interaction with an A.I. and a second set simply gathering information. The latter could be at any altitude.