Saturday, April 1, 2017

President Trump's "America First Energy Plan" Secrets Leaked: Quake Field Generator

April 1st, 2017 Lexington, Massachusetts

As President Trump has stated publicly many times, a sound energy policy begins with the recognition that we have vast untapped domestic energy reserves right here in America. Unfortunately, the secret details behind the ambitious America First Energy Plan were leaked late last night.  

To pre-empt any fake news by the Liberal Media I am making a full disclosure of the secret project I have been working on the last 18 months in propinquity of MIT Lincoln Laboratory, a federally funded research and development center chartered to apply advanced technology to problems of national security. 

I am unveiling a breakthrough technology that will lower energy costs for hardworking Americans and maximize the use of American resources, freeing us from dependence on foreign oil. This technology allows harvesting clean energy from around the world and making other nations to pay for it according to President Trump's master plan.  

The technology is based on quake fields and provides virtually unlimited free energy, while protecting clean air and clean water, conserving our natural habitats, and preserving our natural reserves and resources. 

What is Quake Field?

Quake field theory is relatively unknown part of seismology. Seismology is the scientific study of earthquakes and the propagation of elastic waves through the Earth or through other planet-like bodies. The field also includes studies of earthquake environmental effects such as tsunamis as well as diverse seismic sources such as volcanic, tectonic, oceanic, atmospheric, and artificial processes such as explosions.  

Quake field theory was formulated by Dr. James von Hausen in 1945 as part of the Manhattan project during World War II. Quake field theory provides a mathematical model how energy propagates through elastic waves. During the development of the first nuclear weapons scientists faced a big problem: nobody was able to provide an accurate estimate of the energy yield of the first atom bomb. People were concerned possible side effects and there was speculation that fission reaction could ignite the Earth atmosphere. 

Quake field theory provides precise field formulas to calculate energy propagation in planet-like bodies. The theory has been proven in hundreds of nuclear weapon tests during the Cold War period. However, most of the empirical research and scientific papers have been classified by the U.S. Government  and therefore you cannot really find details in Wikipedia or other public sources due to the sensitivity of the information.

In the recent years U.S. seismologists have started to use quake field theory to calculate the amount of energy released in earthquakes. This work was enabled by creation of global network of seismic sensors that is now available. These sensors provide real time information on earthquakes over the Internet. 

I have a Raspberry Shake at home. This is a Raspberry Pi powered device to monitor quake field activity and part of a global seismic sensor network.  Figure 1 show quake field activity on March 25, 2017. As you can see it was a very active day. This system gives me a prediction when the quake field is activated. 

Figure 1. Quake Field activity in Lexington, MA

How much energy is available from Quake Field?

A single magnitude 9 earthquake  releases approximately 3.9 e+22 Joules of seismic moment energy (Mo).  Much of this energy gets dissipated at the epicenter but  approximately 1.99 e+18 Joules is radiated as seismic waves through the planet. To put this in perspective you could power the whole United States for 7.1 days with this radiated energy. This radiated energy equals to 15,115 million gallons of gasoline -  just from a single large earthquake. 

The radiated energy is released as waves from the epicenter of a major earthquake and propagate outward as surface waves (S waves). In the case of compressional waves (P waves), the energy radiates from the focus under the epicenter and travels all the way through the globe. Figure 2 illustrates these two primary energy transfer mechanisms.  Note that we don’t need to build any transmission network to transfer this energy so the capital cost would be very small.  

Figure 2. Energy Transfer by Radiated Waves

Magnitude 2 and smaller earthquakes occur several hundred times a day world wide. Major earthquakes, greater than magnitude 7, happen more than once per month. “Great earthquakes”, magnitude 8 and higher, occur about once a year.

The real challenge has been that we don’t have a technology harvest this huge untapped energy - until today.  

Introducing Quake Field Generator

The following introduction explains the operating principles of quake field generator (QFG) technology.

Using the quake field theory and the seismic sensor data it is now possible to predict accurately when the S and P waves arrive to any location on Earth.  The big problem has been to find efficient method how to convert the energy of these waves to electricity. 

A triboelectric nanogenerator (TENG) is an energy harvesting device that converts the external mechanical energy into electricity by a conjunction of triboelectric effect and electrostatic induction.

Ever since the first report of the TENG in January 2012, the output power density of TENG has been improved for five orders of magnitude within 12 months. The area power density reaches 313 W/m2, volume density reaches 490 kW/m3, and a conversion efficiency of ~60% has been demonstrated. Besides the unprecedented output performance, this new energy technology also has a number of other advantages, such as low cost in manufacturing and fabrication, excellent robustness and reliability, environmental-friendly, and so on.

The Liberal Media outlets have totally misunderstood the "clean coal technology” that is the cornerstone of President Trump's master plan for energy independence.  Graphene is coal, just in different molecular configuration. Graphene is one of materials exhibiting strong triboelectric effect. With recent advances in 3D printing technology it is now feasible to mass produce low cost triboelectric nanogenerators. Graphene is now commercially available for most 3D printers.

The geometry of Quake Field Generator is based on fractals, minimizing the size of resonant transducer. My prototype consists of 10,000 TENG elements organized into a fractal shape. In this prototype version that I have been working on the last 18 months I have also implemented an automated tuning circuit that uses flux capacitors to maximize the energy capture at the resonance frequency.  This brings the efficiency of the QFG to 97.8% - I am quite pleased with this latest design.

Figure 3. show my current Quake Field Generator prototype - this is a 10 kW version. It has four stacks of TENG elements. Due to the high efficiency of these elements the ventilation need is quite minimal.

Figure 3. Quake Field Generator prototype - 10 kW version

So what does this news mean to an average American?

Quake Field Generator will be fully open source technology that will create millions of new jobs in the U.S. energy market.  It leverages our domestic coal sources to build TENG devices from graphene (aka “clean coal”).  

A simple  10 kW generator can be 3D printed in one day and it can be mounted next to your power distribution panel at your home. The only requirements are that the unit must have connection to ground to harvest the quake field energy and you need to use a professional electrician to make a connection to your home circuit. 

I have been running such a DYI 10 kW generator for over a year. So far I have been very happy with the performance of this Quake Field Generator.  Once I finalize the design my plan is to publish the software, circuit design, transducer STL files etc. on Github.

Let me know if you are interested in QFG technology - happy April 1st.  



Sunday, January 29, 2017

Amazon Echo - Alexa skills for ham radio

Demo video showing a proof of concept Alexa DX Cluster skill with remote control of Elecraft KX3 radio. 


According to a Wikipedia article Amazon Echo is a smart speaker developed by Amazon. The device consists of a 9.25-inch (23.5 cm) tall cylinder speaker with a seven-piece microphone array. The device connects to the voice-controlled intelligent personal assistant service Alexa, which responds to the name "Alexa".  The device is capable of voice interaction, music playback, making to-do lists, setting alarms, streaming podcasts, playing audiobooks, and providing weather, traffic and other real time information. It can also control several smart devices using itself as a home automation hub.

Echo also has access to skills built with the Alexa Skills Kit. These are 3rd-party developed voice experiences that add to the capabilities of any Alexa-enabled device (such as the Echo). Examples of skills include the ability to play music, answer general questions, set an alarm, order a pizza, get an Uber, and more. Skills are continuously being added to increase the capabilities available to the user.

The Alexa Skills Kit is a collection of self-service APIs, tools, documentation and code samples that make it fast and easy for any developer to add skills to Alexa. Developers can also use the "Smart Home Skill API", a new addition to the Alexa Skills Kit, to easily teach Alexa how to control cloud-controlled lighting and thermostat devices. A developer can follow tutorials to learn how to quickly build voice experiences for their new and existing applications.

Ham Radio Use Cases 

For ham radio purposes Amazon Echo and Alexa service creates a whole new set of opportunities to automate your station and build new audio experiences.

Here is a list of ideas what you could use Amazon echo for:

- listen ARRL Podcasts
- practice Morse code or ham radio examination
- check space weather and radio propagation forecasts
- memorize  Q codes  (QSL, QTH, etc.)
- check call sign details from
- use APRS to locate a mobile ham radio station

I started experimenting with Alexa Skills APIs using mostly Python to create programs.  One of the ideas I had was to get Alexa to control my Elecraft KX3 radio remotely.  To make the skill more useful I build some software to pull latest list of spots from DX Cluster and use those to set the radio on the spotted frequency to listen some new station or country on my bucket list.

Alexa Skill Description

Imagine if you could use and listen your radio station anywhere just by saying the magic words "Alexa, ask DX Cluster to list spots."

Alexa would then go to a DX Cluster, find the latest spots on SSB  (or CW) and allows you to select the spot you want to follow.  By just saying "Select seven"  Alexa would set your radio to that frequency and start playing the audio.

Figure 2.  Alexa DX Cluster Skill output 

System Architecture 

Figure 3. below shows all the main components of this solution.  I have a Thinkpad X301 laptop connected to Elecraft KX3 radio with KXUSB serial port and using built-in audio interface.  X301 is running several processes: one for recording the audio into MP3 files,  hamlib rigctld to control the the radio and a web server that allows Alexa skill to control the frequency and retrieve the recorded MP3 files.

I implemented the Alexa Skill "DX Cluster" using Amazon Web Services Cloud.  Main services are AWS Gateway and AWS Lambda.

The simplified sequence of events is shown in the figure below:

1.  User says  "Alexa, ask DX Cluster to list spots".  Amazon Echo device sends the voice file to Amazon Alexa service that does the voice recognition.

2. Amazon Alexa determines that the skill is "DX Cluster" and sends JSON formatted request to configured endpoint in AWS Gateway.

3.  AWS Gateway sends the request to AWS Lambda that loads my Python software.

4.  My  "DX Cluster" software parses the JSON request, calls  "ListIntent" handler.  If not already loaded, it will make a web API request to pull the latest DX cluster data from The software will the convert the text to SSML format for speech output and returns the list of spots  to Amazon Echo device.

5.   If user says  "Select One"  (the top one on the list), then the frequency of the selected spot is sent to the webserver running on X301 laptop.  It will change the radio frequency using rigctl command and then return the URL to the latest MP3 that is recorded. This URL is passed to Amazon Echo device to start the playback.

6. Amazon Echo device will retrieve the MP3 file from the X301 web server and starts playing.

Figure 3.  System Architecture


As this is just a proof of concept the software is still very fragile and not ready for publishing.  The software is written in Python language and is heavily using open source components, such as 

  • hamblib   - for controlling the Elecraft KX3 radio
  • rotter       - for recording MP3 files from the radio 
  • Flask       - Python web framework 
  • Boto3      - AWS Python libraries
  • Zappa      - serverless Python services

Once the software is a bit more mature I could post it on Github if there is any interest from the ham radio community for this.  

Mauri AG1LE 

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