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Writer's picture人工進化研究所(AERI)

Observation and Prediction System for MEGA Earthquake Precursors Deployed on Artificial Satellites:Identifying Potential Underground Signals as Precursors to Strong Earthquakes

Professor Kamuro's near-future science predictions

Observation and Prediction System for MEGA Earthquake Precursors Deployed on Artificial Satellites:

Identifying Potential Underground Signals as Precursors to Strong Earthquakes



Quantum Physicist and Brain Scientist

Visiting Professor of Quantum Physics,

California Institute of Technology

IEEE-USA Fellow

American Physical Society-USA Fellow

PhD. & Dr. Kazuto Kamuro

AERI:Artificial Evolution Research Institute

Pasadena, California

and

Xyronix Corporation

Pasadena, California

Foreword

A. Professor Kamuro's near-future science predictions, provided by CALTECH professor Kazuto Kamuro(Doctor of Engineering (D.Eng.) and Ph.D. in Quantum Physics, Semiconductor Physics, and Quantum Optics), Chief Researcher at the Artificial Evolution Research Institute (AERI, https://www.aeri-japan.com/) and Xyronix Corporation(specializing in the design of a. Neural Connection LSI, b. BCI LSI(Brain-Computer Interface LSI) (Large Scale Integrated Circuits) , and c. bio-computer semiconductor technology that directly connects bio-semiconductors, serving as neural connectors, to the brain's nerves at the nano scale, https://www.usaxyronix.com/), are based on research and development achievements in cutting-edge fields such as quantum physics, biophysics, neuroscience, artificial brain studies, intelligent biocomputing, next-generation technologies, quantum semiconductors, satellite optoelectronics, quantum optics, quantum computing science, brain computing science, nano-sized semiconductors, ultra-large-scale integration engineering, non-destructive testing, lifespan prediction engineering, ultra-short pulses, and high-power laser science.

The Artificial Evolution Research Institute (AERI) and Xyronix Corporation employ over 160 individuals with Ph.D.s in quantum brain science, quantum neurology, quantum cognitive science, molecular biology, electronic and electrical engineering, applied physics, information technology (IT), data science, communication engineering, semiconductor and materials engineering. They also have more than 190 individuals with doctoral degrees in engineering and over 230 engineers, including those specializing in software, network, and system engineering, as well as programmers, dedicated to advancing research and development.

 



Building on the outcomes in unexplored and extreme territories within these advanced research domains, AERI and Xyronix Corporation aim to provide opportunities for postgraduate researchers in engineering disciplines. Through achievements in areas such as the 6th generation computer, nuclear deterrence, military unmanned systems, missile defense, renewable and clean energy, climate change mitigation, environmental conservation, Green Transformation (GX), and national resilience, the primary objective is to furnish scholars with genuine opportunities for learning and discovery. The overarching goal is to transform them from 'reeds that have just begun to take a step as reeds capable of thinking' into 'reeds that think, act, and relentlessly pursue growth.' This initiative aims to impart a guiding philosophy for complete metamorphosis and to provide guidance for venturing into unexplored and extreme territories, aspiring to fulfill the role of pioneers in this new era.

B. In the cutting-edge research domain, the Artificial Evolution Research Institute (AERI) and Xyronix Corporation have made notable advancements in various fields. Some examples include:

     1. AERI・HEL (Petawatt-class Ultra-High Power Terawatt-class Ultra-High Power

          Femtosecond Laser)

        ◦ Petawatt-class ultra-high power terawatt-class ultra-short pulse laser (AERI・HEL)

    2. 6th Generation Computer&Computing

        ◦ Consciousness-driven Bio-Computer

        ◦ Brain Implant Bio-Computer

    3. Carbon-neutral AERI synthetic fuel chemical process

            (Green Transformation (GX) technology)

        ◦ Production of synthetic fuel (LNG methanol) through CO₂ recovery system (DAC)

    4. Green Synthetic Fuel Production Technology(Green Transformation (GX) technology)

        ◦ Carbon-neutral, carbon-recycling system-type AERI synthetic fuel chemical process

    5. Direct Air Capture Technology (DAC)

        ◦ Carbon-neutral, carbon-recycling carbon dioxide circulation recovery system

    6. Bio-LSI・Semiconductors

        ◦ Neural connection element directly connecting bio-semiconductors and brain nerves

             on a nanoscale

        ◦ Brain LSI Chip Set, Bio-Computer LSI, BMI LSI, BCI LSI, Brain Computing LSI,

             Brain Implant LSI

   7. CHEGPG System (Closed Cycle Heat Exchange Power Generation System with

        Thermal Regenerative Binary Engine)

        ◦ Power generation capability of Terawatt (TW), annual power generation of

    10,000 TWh (terawatt-hour) class

        ◦ 1 to 0.01 yen/kWh, infinitely clean energy source, renewable energy source

    8. Consciousness-Driven Generative Autonomous Robot

    9. Brain Implemented Robot・Cybernetic Soldier

    10. Generative Robot, Generative Android Army, Generative Android

    11. High-Altitude Missile Initial Intercept System, Enemy Base Neutralization System,

       Nuclear and Conventional Weapon Neutralization System, Next-Generation

      Interception Laser System for ICBMs, Next-Generation Interception Laser System

    for Combat Aircraft

    12. Boost Phase, Mid-Course Phase, Terminal Phase Ballistic Missile Interception System

    13. Volcanic Microseismic Laser Remote Sensing

    14. Volcanic Eruption Prediction Technology, Eruption Precursor Detection System

    15. Mega Earthquake Precursor and Prediction System

    16. Laser Degradation Diagnosis, Non-Destructive Inspection System

  17. Ultra-Low-Altitude Satellite, Ultra-High-Speed Moving Object

    Non-Destructive Inspection System

✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼

 

 

Observation and Prediction System for MEGA Earthquake Precursors and Forewarnings Deployed on Artificial Satellites: Identifying Potential Underground Signals as Precursors to Strong Earthquakes

 

Kazuto Kamuro (CALTEC Professor, PhD, and Doctor of Engineering) has achieved innovative and groundbreaking results concerning the national theme of disaster resilience through the observation and prediction of precursors to MEGA earthquakes.

Scientists at the Artificial Evolution Research Institute (AERI HP: https://www.aeri-japan.com/) anticipate that using the AERI Artificial Satellite-based MEGA Earthquake Precursor and Forewarning Prediction Technology (https://en.aeri-japan.com/megaearthquakeforecasts) will enable the prediction of precursors to strong earthquakes (MEGA earthquakes) from weeks to hours in advance.

 

1.Observation and Prediction Signals of MEGA Earthquake Precursors and Forewarnings

Earthquakes are typically triggered by movements of two or more plates on either side of deep geological fractures known as fault lines. Faults begin slipping at some point before an earthquake. The question is whether this slip accelerates within microseconds or takes more time, making it detectable. Past observations and experiments at AERI have revealed that gradual slipping phenomena indeed occur during MEGA earthquakes. Consequently, AERI scientists have obtained results indicating the theoretical possibility of issuing warnings in advance of strong shaking associated with MEGA earthquakes by detecting such gradual slipping phenomena.

 

2.Prediction of Earthquake Precursors and Forewarnings

a. Earthquakes, both large and small, occur daily worldwide. However, most earthquakes are too small to be felt by people on the surface.

Large earthquakes exceeding magnitude 6 (MEGA earthquakes) are often catastrophic. For instance, the disaster that struck Turkey and Syria in February 2023 resulted in over 50,000 fatalities and approximately 1.5 million displaced. Statistics indicate that approximately one million people worldwide have died from earthquakes over the past 20 years.

With current meteorological observation technology, earthquakes can be accurately measured, and locations prone to earthquakes can be precisely identified. The Mediterranean region, including Southern Europe, Japan, Indonesia, Chile, and the U.S. states of California and Alaska, are all earthquake hotspots.

Until now, it has been entirely impossible for seismologists and earthquake investigators to identify observable signs of MEGA earthquake precursors and forewarnings, namely detectable indications of gradual fault slippage.

b. The observation and prediction signals of MEGA earthquake precursors and forewarnings are too weak to be detected by existing seismographic instruments. Moreover, using data from the High-Rate Global Positioning System (GPS information) from observation points set up in over 3,000 earthquake hotspots worldwide, the GPS information only serves as static seismic data, measuring how much the ground moved in two dimensions during and between earthquakes, serving as a makeshift alternative.

c. The Artificial Satellite-based MEGA Earthquake Precursor and Forewarning Observation and Prediction System provided by AERI (https://en.aeri-japan.com/megaearthquakeforecasts) utilizes optical remote sensing based on artificial satellite photonic engineering. From ultra-low altitude artificial satellites, it scans the entire surface of Japan once per hour. It can continuously observe variations in the vertical and horizontal directions of the earth's surface on scales of a day, a week, a month, and a year in real-time. In addition to surface uplift, subsidence, and horizontal displacement, it simultaneously measures abnormal vibrations at observation points (seismic precursor micro-vibrations) and gas emissions in real-time, enabling the prediction of earthquake precursors and forewarnings. Rather than relying on human observation, static observation points, or High-Rate Global Positioning System (GPS information), this system achieves dynamic real-time observation through laser-based remote sensing.

d. The Artificial Satellite-based MEGA Earthquake Precursor and Forewarning Observation and Prediction System provided by AERI (https://en.aeri-japan.com/megaearthquakeforecasts) monitors and quantitatively analyzes changes in surface shape using optical remote sensing employing quantum interference. It has developed "Quantum Interference Vector Dynamics Technology" that quantifies temporal changes, vibrations, and accelerations of surface shape (irregularities) in real-time, sampling tens of thousands (=100,000) of points per second (=100 mega  samplings/second) horizontally, and with sub-millimeter spatial resolution vertically, enabling real-time digitalization and visualization at a sampling rate of tens of thousands per square meter per second for 24 hours.

e. The Artificial Satellite-based MEGA Earthquake Precursor and Forewarning Observation and Prediction System provided by AERI (https://en.aeri-japan.com/megaearthquakeforecasts) enables the prediction of volcanic eruption precursors in addition to earthquake precursors. The economic impact of this system is estimated to be at least 100 trillion yen.

f. The Artificial Satellite-based MEGA Earthquake Precursor and Forewarning Observation and Prediction System provided by AERI (https://en.aeri-japan.com/megaearthquakeforecasts) can revolutionize earthquake precursor and volcanic eruption precursor forecasting, moving away from traditional methods reliant on human observation and GPS information.

g. The Artificial Satellite-based MEGA Earthquake Precursor and Forewarning Observation and Prediction System provided by AERI (https://en.aeri-japan.com/megaearthquakeforecasts) can measure ground movements during and between earthquakes and collect seismic observation data.

h. The seismic observation data aggregated by the Artificial Satellite-based MEGA Earthquake Precursor and Forewarning Observation and Prediction System provided by AERI (https://en.aeri-japan.com/megaearthquakeforecasts) includes data recorded several hours before each of the 50 earthquakes with a magnitude of 5 or higher. By analyzing this seismic observation data using artificial intelligence, it is possible to detect statistically significant earthquake precursor and forewarning patterns, which, although subtle, begin to emerge over a month before earthquakes occur near the epicenter.

 

END.

 

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Quantum Brain Chipset & Bio Processor (BioVLSI)



♠♠♠ Kazuto Kamuro: Professor, PhD, and Doctor of Engineering ♠♠♠

・Doctor of Engineering (D.Eng.) and Ph.D. in Quantum Physics, Semiconductor Physics, and Quantum Optics

・Quantum Physicist and Brain Scientist involved in CALTECH & AERI

・Associate Professor of Quantum Physics, California Institute of Technology(CALTECH)

Associate Professor and Brain Scientist in Artificial Evolution Research Institute( AERI: https://www.aeri-japan.com/ )

・Chief Researcher at Xyronix Corporation(HP: https://www.usaxyronix.com/)

・IEEE-USA Fellow

・American Physical Society Fellow

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Keywords 

Artificial Evolution Research Institute: AERI, Pasadena, California

Xyronix Corporation, Pasadena, California 

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