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AirPhone and AirCom: Telecom accessibility on your finger types
by Ray Hermann Angossio Liwa
Ray Hermann Angossio Liwa
AirPhone and AirCom: Telecom accessibility on your finger types
by Ray Hermann Angossio Liwa
Ray Hermann Angossio Liwa
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Overview
AirPhone and AirCom
This project is an idea that came to me when I was studying electronics in high school (Option F2 or electronics) in Africa, I did some tests alone sometimes with friends at that time, and I developed the idea by continuing my studies in electrical engineering and computer science at the IHEM-ISTI University of Brazzaville mainly for transmission courses, then began to add VOIP functionalities by starting to work as a freelancer in IT infrastructure for certain groups and businesses in Pointe-Noire.
In fact, with the experience I have been building since my entry into the United States of America, I moved backward from where I stopped to continue and use for the creation of an upcoming prototype. The time now is to iterate all findings with more effort into commercial applications with accessible monthly payment, I mean a few dollars per month ($1 or more), based upon calculation of the cost of the equipment and services (from vendors and partners) used to provide the expected outcome as this platform intends to be the cheapest way to communicate using the RF Telephonic network.
AirCom is a telecommunication system based on at least 7 or more satellites to cover all continents of the Earth (Asia, Africa, North America, South America, Antarctica, Europe, and Australia) as the main hub platform to distribute Internet services via a long-range RF and around a network of RF-powered devices named AirPhones.
Interconnection can also be made using fiber optics as an alternative to satellites or as an additional layer in addition to satellites for transmission and reception. What you have to remember is that AirPhones integrate VOIP, Messaging, and hotspots in their basic version and more at full potential. All communications can be established using VOIP protocol client applications (hardware or software) and Asterisk-based servers with additional software for hotspots and other reminder options for more sophisticated versions. In addition as an option AM can detect radiation and other distortions of the same kind, by using the right calculation we can find the localization base upon the radio antenna radius.
The reality is that with this technology we can avoid or gradually reduce the use of plastic and other fossil energy derivatives in use in the actual telecommunication marketplace, so we can talk for example about the reduction of plastic use for the production of SIM cards. On average it costs $10 to $30 to manufacture a SIM card, if all 7 billion people around the world never lost any SIM card and have used only one single SIM card (Because some use even more networks, so more SIM cards), we will have around 7 billion SIM cards in circulation, this technology can save around $70 to $210 billion for telecom businesses and companies. But we all know that the saving is bigger at the energy level.
This network platform could be suitable for any corporations, multinationals, or companies looking to save money on equipment and services with scheduled operations all around the globe and can be at its maximum potential a unified way for big groups or conglomerates to communicate worldwide. The AirCom Network platform can be used as a management platform for much more than just AirPhone and CleverPhone (an AirPhone with additional capabilities provided by Clever_Engine, Massive Links, and Intelo AI platforms), it can also be used to monitor and manage self-driving cars, Autonomous flying cars, robots and much more to come.
This project is an idea that came to me when I was studying electronics in high school (Option F2 or electronics) in Africa, I did some tests alone sometimes with friends at that time, and I developed the idea by continuing my studies in electrical engineering and computer science at the IHEM-ISTI University of Brazzaville mainly for transmission courses, then began to add VOIP functionalities by starting to work as a freelancer in IT infrastructure for certain groups and businesses in Pointe-Noire.
In fact, with the experience I have been building since my entry into the United States of America, I moved backward from where I stopped to continue and use for the creation of an upcoming prototype. The time now is to iterate all findings with more effort into commercial applications with accessible monthly payment, I mean a few dollars per month ($1 or more), based upon calculation of the cost of the equipment and services (from vendors and partners) used to provide the expected outcome as this platform intends to be the cheapest way to communicate using the RF Telephonic network.
AirCom is a telecommunication system based on at least 7 or more satellites to cover all continents of the Earth (Asia, Africa, North America, South America, Antarctica, Europe, and Australia) as the main hub platform to distribute Internet services via a long-range RF and around a network of RF-powered devices named AirPhones.
Interconnection can also be made using fiber optics as an alternative to satellites or as an additional layer in addition to satellites for transmission and reception. What you have to remember is that AirPhones integrate VOIP, Messaging, and hotspots in their basic version and more at full potential. All communications can be established using VOIP protocol client applications (hardware or software) and Asterisk-based servers with additional software for hotspots and other reminder options for more sophisticated versions. In addition as an option AM can detect radiation and other distortions of the same kind, by using the right calculation we can find the localization base upon the radio antenna radius.
The reality is that with this technology we can avoid or gradually reduce the use of plastic and other fossil energy derivatives in use in the actual telecommunication marketplace, so we can talk for example about the reduction of plastic use for the production of SIM cards. On average it costs $10 to $30 to manufacture a SIM card, if all 7 billion people around the world never lost any SIM card and have used only one single SIM card (Because some use even more networks, so more SIM cards), we will have around 7 billion SIM cards in circulation, this technology can save around $70 to $210 billion for telecom businesses and companies. But we all know that the saving is bigger at the energy level.
This network platform could be suitable for any corporations, multinationals, or companies looking to save money on equipment and services with scheduled operations all around the globe and can be at its maximum potential a unified way for big groups or conglomerates to communicate worldwide. The AirCom Network platform can be used as a management platform for much more than just AirPhone and CleverPhone (an AirPhone with additional capabilities provided by Clever_Engine, Massive Links, and Intelo AI platforms), it can also be used to monitor and manage self-driving cars, Autonomous flying cars, robots and much more to come.
Product Details
| BN ID: | 2940186127543 |
|---|---|
| Publisher: | Futurists Society |
| Publication date: | 12/20/2023 |
| Series: | Service Utilities , #2 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| File size: | 668 KB |
About the Author
I'm Ray Hermann Angossio Liwa an Amazon Author Central with a portfolio of ebooks and paperback books as a writer with copyright, a certified US Tax professional, and a Scientist, also the Owner and Strategist behind the Futurists Society. For the past ten years, I have been through many leadership programs, and I have been guided closely in private with some people through my skills and abilities.
My background is based on IoT (Internet Of Things) for the most part, with 7+ years of professional experience in information security and digital services. Expert and highly familiar with various online service security, engineering, and computer science or networking.
I work well with tools like Bio-conductor, Bio-strings, or others using the R programming language; I have a great level of Python and Shell (CLI) applied to Genomics; With interesting insight on Biotechnology Analytics, Advanced Biostatistics, Algorithms for DNA Sequencing, Boyer Moore algorithm, Naive exact matching algorithm, Fisher exact test, Z-test, T-test, chi-square, Chebyshev's inequality, P-Value, Computational Genomic, Clinical trial, and epidemiology mostly from the University of Arizona and the Johns Hopkins Bloomberg school of public health.
I'm a problem solver with outstanding skills in Artificial intelligence, Data Science, Machine, and Deep Learning concepts, and algorithmic methodology throughout the Stanford University online (Machine Learning by Andrew Ng) and the IBM Developer Program on Coursera as well as other platforms. I specialize with Google in UX design and project management using Waterfall, Agile Six Sigma, and Scrum methodologies, and I'm 100% functional with software like Asana and Jira.
For the record, as part of the IRS Stakeholder Liaison as a Tax Practitioner, I hold 130 CPE credits ( Federal and State Tax Law) with wit 7 credits on Forensic Fraud detection training from the Internal Revenue Service (IRS) and the State of California Tax Education Council (CTEC) as well as in other states like New York and Maryland.
My background is based on IoT (Internet Of Things) for the most part, with 7+ years of professional experience in information security and digital services. Expert and highly familiar with various online service security, engineering, and computer science or networking.
I work well with tools like Bio-conductor, Bio-strings, or others using the R programming language; I have a great level of Python and Shell (CLI) applied to Genomics; With interesting insight on Biotechnology Analytics, Advanced Biostatistics, Algorithms for DNA Sequencing, Boyer Moore algorithm, Naive exact matching algorithm, Fisher exact test, Z-test, T-test, chi-square, Chebyshev's inequality, P-Value, Computational Genomic, Clinical trial, and epidemiology mostly from the University of Arizona and the Johns Hopkins Bloomberg school of public health.
I'm a problem solver with outstanding skills in Artificial intelligence, Data Science, Machine, and Deep Learning concepts, and algorithmic methodology throughout the Stanford University online (Machine Learning by Andrew Ng) and the IBM Developer Program on Coursera as well as other platforms. I specialize with Google in UX design and project management using Waterfall, Agile Six Sigma, and Scrum methodologies, and I'm 100% functional with software like Asana and Jira.
For the record, as part of the IRS Stakeholder Liaison as a Tax Practitioner, I hold 130 CPE credits ( Federal and State Tax Law) with wit 7 credits on Forensic Fraud detection training from the Internal Revenue Service (IRS) and the State of California Tax Education Council (CTEC) as well as in other states like New York and Maryland.
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