Infare IFE DAQ Bank Credit$ Hybrid

IFE Infare Tokens

What is also needed in the future is the development of technologies, hardware and software that use quantum phenomena, as in the case of quantum information field technology in the form of Hardware and semantic databases supported by Artificial Intelligence (AI). 

DAQ ~ DLT AI QN, made from token semi~quantum generators as hardware nodes in  Distributed Ledger Technology  (DLT) and operating on quantum computing and quantum information field algorithms as well as other similar quantum phenomena processing semantic databases analyzed by Artificial Intelligence (AI) as software run within Quantum Network (QN) is such a technology of the future.

Infare IFE DAQ ~ Distributed Ledger Technologi, Artificial Intelligence, and Quantum Computation
Infare ~ Holy Grail Investment

Infare IFE DAQ scalability

Infare IFE DAQ tokens scalability
Infare IFE DAQ Bank

IFE is a DLT platform that focuses on scalability. The Delegated Proof of Stake (DPoS) protocol allows 21 main distributed node procedures (DNPs) to operate the network. Delegated DNPs coordinate the operations to create transactions and ensure that a system is scalable.

The current state DLT systems motivates the scalability as necessary to secure sustained growth. Specific research was conducted on the decentralisation of the DPoS protocol in IFE. Specifically, a deep learning analysis showed unexpected similarity in votes received by certain suspected collusive DNPs. Based on research and understanding of the DLT space, we drafted a proposal and motivated why travel and transport operators should become producers within the network to enhance 4PLT operations and further optimizations supported by DLT space.

Infare Development is well positioned to become DNPs. The organization and infrastructure as well as human capital present at Infare enable it to join as candidate DNPs. The main motivation for becoming a DNP would be enhancing 4PLT operations through operators participation in network-based projects. This would help students gain valuable tacit knowledge. Furthermore, Infare Development’s reputation would help add to the trust and diversity of the pool of DNPs, and hence decentralisation of IFE. Revenue received from the project could be used to boost network efforts across communities.

There are many other notable platforms aiming to address scalability, most prominently Hyperledger, Dfinity and Cardano. Future work will include investigating the ideas for scalability that exist in these projects.

The IFE Infare Exchange specializes in trading derivative instruments, such as interest rate swaps, equity options, or credit derivatives, to allow investors to manage their underlying investments according to their goals. In its work, it is similar to a currency exchange Cantor Future Exchange.

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Infare IFE DAQ Bank Credit$ Hybrid
Infare IFE DAQ Tokens Whitepaper
Infare IFE DAQ Cryptocurrency Exchange
Infare IFE DAQ Tokens DLT AI Hybrid
IFE Infare Team
Infare IFE DAQ Social Media
How to Participate

fig 1 Histogram Cardano price

DLT Infare IFE DAQ Bank Organization Technology

DLT Infare IFE DAQ Bank is a platform that allows internet enthusiasts, practitioners and service providers in the DLT Banking industry to participate in a direct, decentralized, real~time marketplace, where they can exchange services for medical devices supported by the Holon network and smart contracts. It enables its members to search, negotiate and purchase medical devices and services and communicate with every party involved. DLT Infare IFE DAQ Bank platform focuses on creating real~time, in~person engagement, and because of this, the DLT Infare IFE DAQ Bank platform is designed to accommodate services and scheduling tools for providing interactive DLT Banking sessions. Since the majority of our current offerings are onsite DLT Banking experiences, we have built the DLT Infare IFE DAQ Bank capability to manage a range of tasks, including the negotiation of costs, the securing of service providers and the creation of certificates for DLT Infare IFE DAQ Bank courses.

DLT Infare IFE DAQ Bank is a multi-dimensional DLT Banking platform that facilitates participants, costs, locations and scheduling. The effort to fund, plan and host a complete in-person events, requires certain technical nuances and requirements that translate into well managed schedules. 

Infare Credits for Internal Payments

Infare Tokens are used to facilitate transactions on the network to pay for the use of the medical equipment and the research results available on the network. Internal transactions will be primarily conducted using Infare Credits, a payment and reward system for the participating actors. Infare Tokens Hybrid separates these two mechanisms of value holding, which serve different objectives. Infare Tokens can be converted into Infare Credits, but not the other way around. Credits$ are used in a decentralized Infare Bank which enables community members to conduct transactions involving exchanging goods and services between members and other cryptocurrencies (Ethereum, Bitcoin, NEO) with popular exchanges. The Infare Credits can only be used within Infare Apps and only by the purchasing public key. This helps with the security since they cannot be resold when taken over. Infare Credit private keys can be therefore held in low security areas.
‘Hybrid’ Quantum Networking Demonstrated for First Time, article By Dhananjay Khadilkar on July 2, 2020 in Scientific American

Technological background

State of DLT

The emergence of Distributed Ledger Technology (DLT) pioneered by Stuart Haber and W. Scott Stornetta (1991), David Mazières and Dennis Shasha (2002) and Nick Szabo (2005) has lead to the invention of blockchain by Satoshi Nakamoto in 2008 which solved the double spending problem that Szabo faced with his bit gold and opened the doors for the future development to many incarnations of blockchain. 

Fig 2. Prominent examples of networks developed on Distributed Ledger Technology

Various DLT implementations offer advantages and disadvantages. Blockchain is the most common and most widely used DLT, where each transaction is verified by the entire network through its consensus mechanism and saved in the network as a block containing transaction details, sender and receiver signatures and reference to the previous block. Hashgraph operates on the Gossip Protocol and Virtual Voting that allows for multiple transactions to be stored in a parallel stack with an “Event” timestamp which provides greater scalability. Another example of highly scalable DLT implementation is Directed Acyclic Graph (DAG), where the users only need to validate two old transactions and all the links made between nodes go in just one direction. Holochain brings decentralization to an even higher level with agent~centric approach, where each individual node administers its own chain while being a part of a larger network.

While Hashgraph, DAG and Holochain address main limitations of blockchains, namely the transactions per second speed that affects scalability, consensus~based method which is very energy demanding,  blockchain DLT realizations still by far surpass any other. In particular, the NEO3 Smart Economy Network with its NEP17 smart contracts standard, which opened the doors for many independent projects to contribute to its unprecedented expansion. 

Technical Procedures

Infare ecosystem operates on tokens created as BEP20 smart contracts.

BEP20 released and open source computing platform based on Ethereum ERC20 token with programmable smart contracts. The ERC20 development standard for tokens is what made Ethereum the largest network with the emergence of many successful projects using Ethereum platform to bring their vision forth. Key features that made it possible can be summarized in principles stated in Ethereum’s whitepaper (Buterin, 2014):

Cardano has been developed primarily to trade cryptocurrencies and pay for fees on Cardano exchange, one of the biggest cryptocurrency exchanges in the world. It derives the following features from Ethereum:

Simplicity ~ it is designed to be easily approachable by average developers and any future optimization of the network is set to adhere to this promise,

Universality ~ Smart contracts are designed in such a way that they allow to develop a wide range of inventive realizations and which can be mathematically defined. It is a general purpose program,

Modularity ~ Feature complete libraries implemented within the protocol and can be utilized in another part of Cardano network

Agility ~ protocol is adaptable to possible future improvements

Nondiscrimination and noncensorship ~ the protocol does not impose any rules to prevent undesirable applications, harmful implementations are to be regulated on a direct basis.

Tokens are synchronized across the entire network. The client synchronization protocol is a secure mechanism where server gets updated whenever any new transaction is made within the network and those changes are being automatically synchronized with connected clients. As soon as the client gets synchronized with the network, it is ready to operate transactions.

Fig 3. Holarchium realized on DLT, properties and features

Infare Tokens Hybrid, realized on the Cardano network and modeled in Holarchical structure, has the properties like cost-reducing scalability, programmability that give application development flexibility has time-stamped and immutable data packs which are auto synchronized, traceable, auditable, verifiable, and reliable. It benefits from enhanced security guaranteed by its validation consensus, is distributed which facilitates interoperability, has artificial intelligence algorithms designed on top of it as well as ensures robust and effective information flows.

Fig 4. Artificial Intelligence Algorithms

Artificial Intelligence Algorithms

Hybrid Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) are among today’s most actively debated developments in information technology with the potential for tremendous impact on individuals, organizations, and societies over the next decades.

The AI technologies that are used in DLT include Machine Learning (ML) and Deep Learning (DL) models. ML is further subdivided into Supervised and Unsupervised Learning, Reinforcement Learning, and Transfer Learning. Within Supervised Learning, the most commonly used algorithms are K-Nearest-Neighbor (KNN), Linear Discriminant Analysis (LDA), Multilayer Perceptrons (MLP), and Support Vector Machine (SVM). Transfer Learning relies on transfers between either task, subjects, or sessions respectively. DL’s algorithms are Convolutional Neural Networks (CNN), Recurrent Neural Network (RNN), in particular, Long Short Term Memory (LSTM), Gated Recurrent Units (GRU), and Generative Adversarial Networks (GAN) and their hybrids: CNN/LSTM, RNN/LSTM, LSTM/GRU.

Token distribution & exchanges structure

Infare Tokens are based on Cardano network and thus benefit from simple adoption, you just need to add the token to your favorite Cardano wallet (get by token name or by contract key from CardanoScan).

Infare Token Hybrid distribution in the network will be the basis to assess how the information is distributed in the network along with the tokens. 

Infare Distributed Applications (InfareApps) and Forum App are the primary elements for activities on the network stimulating engagement.

How to use InfareApps

Infare Tokens Hybrid joins all incorporated Transport, Travel and Tourism (TTT) browsable InfareApps. Each InfareApp gathers data related to a certain TTT profile. The InfareApp name is a descriptive of this profile. InfareApps are simple and intuitive to use. There is an intuitive lookup that queries through routes, organizations names, TTT profiles, operators etc.

The operators provide the details regarding their project, TTT objectives and the equipment and models they wish to use. This provides an easy and efficient way to commence the TTT optimization and prepare for gathering data, which can be stored and kept available for the network’s access and provisioned to other operators and paxes. This contributes to the Infare Tokens Hybrid database to expand and allow for data research and analysis of the quality dataset at the fraction of what it normally costs.

Holarchical research data structure

Research data collection from medical devices connected to Infare Token Hybrid network are structured in a holarchic way where each data set stands for a base holon and builds upwards to represent different states of human health conditions towards the generalized human health model at the top.

Data collection and storage is handled by local servers and cloud servers hybrid. This means that the medical devices can be physically connected to a local server that is connected to the network or remotely and dynamically with the network’s cloud.

DLT procedures description

  1. Incorporate Infare Tokens as means to reward participation in the network
  2. Each user downloads the entire network and it needs to be synchronized when the user wants to make a new transaction. 
  3. Every transaction validated by the network through its defined consensus will be synchronized with all other nodes in the network.
Infare Tokens Hybrid Distributed Ledger Technology DLT

A proposal to introduce internal fees and settlements in the Infare Tokens Hybrid using tokens based on Distributed Ledger Technologies (DLT). Within that, we offer server support with supermicro servers with the possibility of server cluster expansion and DLT service support.

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