Conversation with Merlina satohi [email protected] · Tue Nov 21 2023

thit you folow me on instagram and face book marco jochmes , you are merlina sathosi the manager from my chainsphere network project where we talked earlyer abouth alo recomandations for nasdaq as better and most secured network in the world i thinking abouth put the blockchain over iridium satelite ssystem mining is not so expansive energy is solar pannels on the satelite good miners too.

I'm not able to follow anyone on Instagram or Facebook, as I don't have the capability to access or use social media platforms. However, I can definitely assist you with advice on blockchain and satellite systems.

Integrating blockchain with the iridium satellite system for mining using solar panels for energy is an intriguing idea. However, there are several technical and regulatory considerations to evaluate before moving forward with such a project. Here are some points to consider:

  1. Satellite Coverage and Latency: Ensure that the iridium satellite system can provide reliable coverage and low latency for blockchain transactions. Consider the potential impact of network latency on the mining process and blockchain.

  2. Regulatory Compliance: Research and adhere to any regulatory requirements related to satellite-based mining activities and blockchain operations. It's crucial to understand the legal and compliance aspects of conducting mining operations via satellite systems.

  3. Energy Efficiency: Assess the feasibility of using solar panels for energy on the satellites to power the mining equipment. Consider the power requirements of mining operations and the capacity of solar panels to sustain them4. Security and Data Integrity: Evaluate the security implications of transmitting blockchain data via satellite. Ensure that the transmission and storage of blockchain data are secure and resistant to potential vulnerabilities.

  4. Cost Analysis: Conduct a comprehensive cost-benefit analysis to determine the economic viability of utilizing the iridium satellite system for blockchain mining. Consider the initial setup costs, ongoing maintenance, and potential returns on investment.

Before proceeding, it's advisable to engage with experts in satellite technology, blockchain, and regulatory compliance to thoroughly assess the technical, legal, and financial aspects of your plan. Additionally, consider consulting with professionals experienced in both blockchain technology and satellite systems to gain further insights into the practicality and challenges of implementing such a project.

If you require further assistance or have specific questions regarding any of these aspects, feel free to ask!

ReSeNO Service Status date: 01 November 2023 The ReSeNO kickstart project introduces a trustworthy service to manage, optimise and reduce the use of fertilisers in agriculture. Precise nitrogen estimation will strengthen agricultural sustainable practices to preserve earths natural resources, maintain soil quality, reduce chemical use, and save energy. It will also increase the economic profitability of agriculture and secure healthier land, helping on the food demand. N-Base Status date: 30 October 2023 N-base solution combines expertise in horticulture with advanced remote sensing technology and provides field maps for monitoring and optimization of nitrogen applications in apple orchards. This is how farmers gain actionable insights to facilitate precise and targeted nitrogen application. SPOTLITE Status date: 30 October 2023 Spotlite is an infrastructure monitoring system based on satellite imagery. It uses InSAR (Interferometric Synthetic Aperture Radar) data to assess structural stability and ground subsidence over transportation networks (road and rail infrastructure), including pavement and adjacent slopes. OGOR Yield Status date: 19 October 2023 Yield forecast report for 3 major crops (maize, winter wheat, and rapeseed) starting from 2 months before harvest. The forecast is available at the field & farm level and updated every two weeks. SoilEO Status date: 15 October 2023 SoilEO Remote Soil Analysis. Generate fertility maps of your fields with a remote soil analysis. The demonstration project is to validate and demonstrate the technology on real-life fields in real-life conditions in different countries. By using Remote Sensing and Hyperspectral spaceborne images processing one gets a visual and digital map of macronutrients: Mg, P2O5, K2O, Ca, Soil Organic Carbon and pH. O-BOY Status date: 15 October 2023 O-BOY is the first wrist-wearable that contains a satellite transmitter - therefore operates outside the range of mobile phones - and will offer a total package of services that can be lifesaving for athletes and adventurers in remote areas. Project Eclipse Status date: 15 October 2023 Following a successful feasibility study for a multipurpose shared electric fleet solution for NHS Hospitals, Project Eclipse develops and pilots a new and highly innovative transport technology for Newcastle Hospitals NHS Foundation Trust. The project reduces transport related challenges for employees and patients by providing a sustainable, optimised, fully electric fleet solution that improves access, reduces cost and helps the NHS meet ambitious Net Zero targets. NGMP Status date: 15 October 2023 To achieve better efficiency and reliability in monitoring the operation of an agricultural farm, we decided to utilize the potential of combining benefits of IoT sensors together with data from Earth observation. We propose collecting reliable basic data like soil moisture, temperature, humidity and nutrient levels using sensor inputs as well as Earth observation indexes. Our platform handles collection of data, combining them and Its processing in cloud environment also, all with mobile access and management. We focus on providing effective and reliable monitoring, reporting and alarming, incl. growth status and environmental factors for mandatory public disclosure. Sat4Insur Status date: 30 September 2023 The Sat4Insur project aims at delivering a new monitoring service for crop insurance companies. It offers a complete decision tool to the Head of Agriculture of the insurance company and to adjusters to better evaluate crop yield and the financial impact of adverse weather events (i.e., extreme and recurring) such as drought, excess water and storm. GEMS Status date: 30 September 2023 The GEMS service uses space-based technology to detect and monitor air pollutants, including hotspots, using Copernicus EO data and algorithms. The service, designed for commercialization, aims to automate data processing, making emission control cost

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Content Posted in 2022 PDF A Bayesian Decision Model for Battle Damage Assessment, Daniel W. Franzen PDF A Case Study of the Efficacy of Model-Based Requests for Information, Kyle J. Arruda PDF Accelerating Transition to Production by Manufacturing Readiness Focus During Development, William K. Duncan Accurate Covariance Estimation for Pose Data from Iterative Closest Point Algorithm, Rick H. Yuan, Clark N. Taylor, and Scott L. Nykl PDF A Climatology-Based Model for Long-Term Prediction of Radar Beam Refraction, Todd S. Pittman Link A Closed-Loop Linear Covariance Framework for Vehicle Path Planning in a Static Uncertain Obstacle Field, Randall Christensen, Greg Droge, and Robert C. Leishman PDF A Comparative Analysis of the Iridium and Globalstar Satellite Transmission Paths, Kenneth E. Crowe PDF A Comparison of Correlation-Agnostic Techniques for Magnetic Navigation, Clark N. Taylor and Josh Hiatt PDF A Comparison of Department of Defense and Private Sector Fraternization Policies, Jeffrey L. Frye PDF A Comparison of Genetic Algorithm Parametrization on Synthetic Optimization Problems, Mehmet Eravsar PDF A Comparison of Horizontal Cloud-To-Ground Lightning Flash Distance Using Weather Surveillance Radar and The Distance Between Successive Flashes Method, Christopher C. Cox PDF A Comparison of Sporadic-E Occurrence Rates Using GPS Radio Occultation and Ionosonde Measurements, Rodney Carmona, Omar A. Nava, Eugene V. Dao, and Daniel J. Emmons PDF A Computational Investigation of the Interstitial Oxidation Thermodynamics of a Mo-Nb-Ta-W High Entropy Alloy beyond the Dilute Regime, Adib J. Samin PDF A Constructive Induction Approach to Computer Immunology, Kelley J. Cardinale and Hugh M. O'Donnell PDF A Continuous Wave Atomic Bromine Laser Produced by Photolysis of Iodine Monobromide, Brian A. Smith PDF Acquisition Logistics Guidelines for Improving the Argentine Air Force Weapon System Acquisition Process, Guillermo A. Piuzzi PDF A Critical Review of Climate Change on Coastal Infrastructure Systems, Gregory J. Howland Jr. PDF Active 2D-DNA Fingerprinting of WirelessHART Adapters to Ensure Operational Integrity in Industrial Systems, Willie H. Mims, Michael A. Temple, and Robert F. Mills PDF Active Multispectral Band Selection and Reflectance Measurement System, Bradley D. Rennich PDF Additive Manufacturing of Molybdenum for High Temperature Structural Applications, Megan L. Bustin PDF A Decadal Analysis of Shifts in Engineering Manufacturing Development Factors for DoD Assets, Michael J. Smith PDF A Decision Analysis Framework to Consider Space Congestion in Orbit Selection, Anthony J. Correale PDF A Decision Support Simulation to Analyze Scheduling Alternatives for Applicant Processing at Military Entrance Processing Stations (MEPS), Jonathan M. Escamilla PDF A Decision Theoretic Approach for Interface Agent Development, Scott M. Brown PDF Adiabatic Shear Banding in Nickel and Nickel-Based Superalloys: A Review, Russell A. Rowe, Paul G. Allison, Anthony N. Palazotto, and Keivan Davami PDF ADS-B Classification using Multivariate Long Short-term Memoryfully Convolutional Networks and Data Reduction Techniques, Sarah Bolton, Richard Dill, Michael R. Grimaila, and Douglas Hodson A fiber tip refractive index sensor featuring a dynamic micromirror, Jeremiah C. Williams and Hengky Chandrahalim PDF AFIT 100th Anniversary A Century of Education Excellence: From Inspiration to Innovation, Air Force Institute of Technology and Kathleen Scott [Editor] PDF A Framework for Assessing Facility-Level Vulnerability and Risk to Extreme Weather Events, Blake A. Gawlik A High Performance Easily Configurable Satnav SDR for Advanced Algorithm Development and Rapid Capability Deployment, Sanjeev Gunawardena Aircraft Inspection by Multirotor UAV Using Coverage Path Planning, P. Silberberg and Robert C. Leishman PDF Air Force Institute of Technology 1919 1984. 65th Anniversary [commemorative brochure], Air Force Institute of Technology PDF Air Force

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QUALITY OF SERVICE LEVEL SELECTION FOR PEER SATELLITE COMMUNICATIONS RELATED APPLICATIONS [0001] This application hereby claims the benefit of and priority to U.S. Patent Application 15/923,559, titledQUALITY OF SERVICE LEVEL SELECTION FOR PEER SATELLITE COMMUNICATIONS, filed March 16, 2018, which is hereby incorporated by reference in its entirety. BACKGROUND [0002] Satellites can be deployed into orbit to provide various space-based operations, such as military and civilian observation operations, communications operations, navigation operations, weather operations, and research operations. Satellites can include various sensors and communication equipment that are used to perform desired tasks. However, most satellites deployed in orbit comprise singular entities that are expensive to create and launch into orbit, especially for organizations that may not require the use of an entire satellite with a large number of sensors, or may not require continuous operations on the satellite. As a result, organizations may avoid the use of satellites, limiting the use of promising satellite technology. Furthermore, when many satellites are deployed, inter satellite communications can be difficult to coordinate to achieve acceptable communication handling among satellites. OVERVIEW [0003] Various enhanced operational and communication handling techniques for satellite devices are discussed herein. In one example, a method of operating an orbital satellite device of a satellite cluster is provided. The method includes identifying operational status information for at least a peer satellite device in communication range of the satellite device. Based at least on the operational status information, the method includes selecting a quality of service level for communications to be transferred to the peer satellite device, and applying the quality service level to transmit data packets to the peer satellite device. [0004] This Overview is provided to introduce a selection of concepts in a simplified form that are further described below in the Technical Disclosure. It should be understood that this Overview is not intended to identify key features or essential features of the claimed subject matter, nor should it be used to limit the scope of the claimed subject matter. BRIEF DESCRIPTION OF THE DRAWINGS |0005] Many aspects of the disclosure can be better understood with reference to the following drawings. While several implementations are described in connection with these drawings, the disclosure is not limited to the implementations disclosed herein. On the contrary, the intent is to cover all alternatives, modifications, and equivalents. [0006] Figure 1 illustrates a satellite environment according to an implementation. [0007] Figure 2 illustrates operations of a satellite environment according to an implementation. [0008] Figure 3 illustrates an expanded view of a satellite capable of providing a platform for virtual nodes according to an implementation. [0009] Figure 4 illustrates a satellite traffic prioritization environment according to an implementation. [0010] Figure 5 illustrates communication prioritization according to an implementation. [0011] Figure 6 illustrates a satellite computing system to provide a virtualized satellite application platform according to an implementation. DETAILED DESCRIPTION [0012] The various examples disclosed herein provide enhancements for satellite hardware and software technology. Specifically, the examples herein include enhanced selection of quality of service levels for communications exchanged among satellite devices that form a cluster of satellites deployed in orbit. These satellite devices can be placed into various arrangements to form a satellite platform. For example, a cluster of satellite devices can be deployed into orbit using a launch system. These satellite devices can comprise general- purpose satellite devices, such as CubeSat devices configured with processing systems, storag

patents.google.com

ssl https conections blockchain network , and a code to connect

Sure, I can definitely help you with that. When it comes to incorporating SSL and HTTPS connections into a blockchain network, it's essential to ensure the security and integrity of the data being transmitted. Utilizing SSL (Secure Sockets Layer) and HTTPS (Hypertext Transfer Protocol Secure) adds an extra layer of encryption and secure communication to the network.

Here is an example of how you might establish an HTTPS connection to a blockchain network using a programming language like JavaScript with Node.js and the https module:

const https = require('https'); const options = { hostname: 'your-blockchain-api-url.com', port: 443, path: '/your-endpoint', method: 'GET', // or 'POST', 'PUT', etc. depending on the type of request headers: { Content-Type': 'application/json', // set the appropriate content type 'Authorization': 'Bearer your-auth-token', // if required by the blockchain API } }; const req = https.request(options, (res) => { let data = ''; res.on('data', (chunk) => { data += chunk; }); res.on('end', () => { // Handle the received data as per your application's requirements console.log(JSON.parse(data)); }); }); req.on('error', (e) => { console.error(e); }); req.end();

In this example, we use the https module in Node.js to make a secure request to the blockchain network's. You would need to replace 'your-blockchain-api-url.com' with the actual URL of the blockchain network's API and 'your-endpoint' with the specific endpoint you want to access. Additionally, ensure you provide the correct method (e.g., 'GET', 'POST') and set any required headers, such as authentication tokens.

Please note that this is a simplified example, and the actual implementation may vary based on the specifics of the blockchain network and the programming language or framework you are using.

If you need assistance with a different programming language or specific blockchain platform, feel free to let me know!

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IntroductionQuantum computing, one of the most recent cross-pollination efforts between physics and computer science, is a scientific and engineering field focused on developing information processing devices and algorithms based on quantum mechanics1,2,3,4,5,6,7. Quantum computing is now an established research field with solid theoretical and experimental results8,9,10,11,12,13,14. Furthermore, high-tech businesses across various sectors are increasingly experimenting with quantum computing technological solutions15,16,17,18.Since the early days of quantum computing, the role of quantum algorithms and quantum protocols in information security has been a crucial issue. On the one hand, Shors algorithm19 could be used to break public-key cryptography protocols. On the other hand, Quantum Key Distribution schemes provide security levels to information transmission that are not based on mathematical conjectures but instead on the properties of quantum mechanics20. Quantum technology is expected to have a relevant role in current and future cybersecurity systems and, consequently, a significant impact on regional and global economic development21.Quantum entropy provides perfect randomness and strong cryptographic keys based on quantum mechanics22. Post-Quantum Cryptography encompasses a new generation of algorithms for the creation of asymmetric keys that are thought to be resistant to attacks by quantum computers23.Currently, blockchain24 is the most popular technology amongst emerging applications for decentralized data sharing and storage. The design and implementation of blockchain networks makes extensive use of cryptography protocols; thus, studying the potential uses of quantum computing and quantum information to both weaken and strengthen blockchain technologies is essential to ensuring its future reliability.The rest of this paper is divided as follows. Context presents an introductory review of Quantum Computing, Quantum Key Distribution, Post-Quantum Cryptography, blockchain, and the LACChain Blockchain Network which was used for the implementation; The vulnerabilities of blockchain technology with the advent of quantum computing analyzes relevant vulnerabilities of blockchain within the context of quantum computing technologies; Literature review presents a detailed review of the state-of-the-art in the field; Results Iour proposal for post-quantum blockchain networks introduces our proposal for guaranteeing quantum-resistance in EVM compatible blockchain networks and describes the implementation carried out in the LACChain Blockchain Network; Results IIour implementation in the EVM-compatible LACChain blockchain, we present an implementation of our end-to-end quantum resistant blockchain network proposal based on the framework presented in Results Iour proposal for post-quantum blockchain networks; finally, on Discussion we present a discussion on the conclusions and future directions.ContextQuantum computing as a threat to cryptographyTheoretical results, such as Shors algorithm19, and state-of-the-art quantum computing technology in conjunction with expected near-to-mid future scalability and robust developments, have attracted the attention of international standards agencies in cyber security and cryptography, including NIST25, NSA26, and ETSI27. These organizations have made critical warnings that running some quantum algorithms on full-scale quantum computers will necessitate the protection of internet and telecommunication information exchanges for widely used cryptography protocols. Most notably, NIST has been running a post-quantum cryptography competition for standardization to replace existing cryptographic algorithms that are susceptible to breakage using quantum computers28. On July 5th 2022, the first round of candidates to be standardized was published29.Quantum computers use quantum bits (qubits) as fundamental units of information. Individual qubits can be in binary zero and one states (classical

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Source code: Lib/ssl.py This module provides access to Transport Layer Security (often known as Secure Sockets Layer) encryption and peer authentication facilities for network sockets, both client-side and server-side. This module uses the OpenSSL library. It is available on all modern Unix systems, Windows, macOS, and probably additional platforms, as long as OpenSSL is installed on that platform. Note Some behavior may be platform dependent, since calls are made to the operating system socket APIs. The installed version of OpenSSL may also cause variations in behavior. For example, TLSv1.3 with OpenSSL version 1.1.1. Warning Dont use this module without reading the Security considerations. Doing so may lead to a false sense of security, as the default settings of the ssl module are not necessarily appropriate for your application. Availability: not Emscripten, not WASI. This module does not work or is not available on WebAssembly platforms wasm32-emscripten and wasm32-wasi. See WebAssembly platforms for more information. This section documents the objects and functions in the ssl module; for more general information about TLS, SSL, and certificates, the reader is referred to the documents in the See Also section at the bottom. This module provides a class, ssl.SSLSocket, which is derived from the socket.socket type, and provides a socket-like wrapper that also encrypts and decrypts the data going over the socket with SSL. It supports additional methods such as getpeercert(), which retrieves the certificate of the other side of the connection, and cipher(), which retrieves the cipher being used for the secure connection. For more sophisticated applications, the ssl.SSLContext class helps manage settings and certificates, which can then be inherited by SSL sockets created through the SSLContext.wrap_socket() method. Changed in version 3.5.3: Updated to support linking with OpenSSL 1.1.0 Changed in version 3.6: OpenSSL 0.9.8, 1.0.0 and 1.0.1 are deprecated and no longer supported. In the future the ssl module will require at least OpenSSL 1.0.2 or 1.1.0. Changed in version 3.10: PEP 644 has been implemented. The ssl module requires OpenSSL 1.1.1 or newer. Use of deprecated constants and functions result in deprecation warnings. Functions, Constants, and Exceptions Socket creation Instances of SSLSocket must be created using the SSLContext.wrap_socket() method. The helper function create_default_context() returns a new context with secure default settings. Client socket example with default context and IPv4/IPv6 dual stack: import socket import ssl hostname = 'www.python.org' context = ssl.create_default_context() with socket.create_connection((hostname, 443)) as sock: with context.wrap_socket(sock, server_hostname=hostname) as ssock: print(ssock.version()) Client socket example with custom context and IPv4: hostname = 'www.python.org' # PROTOCOL_TLS_CLIENT requires valid cert chain and hostname context = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT) context.load_verify_locations('path/to/cabundle.pem') with socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) as sock: with context.wrap_socket(sock, server_hostname=hostname) as ssock: print(ssock.version()) Server socket example listening on localhost IPv4: context = ssl.SSLContext(ssl.PROTOCOL_TLS_SERVER) context.load_cert_chain('/path/to/certchain.pem', '/path/to/private.key') with socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) as sock: sock.bind(('127.0.0.1', 8443)) sock.listen(5) with context.wrap_socket(sock, server_side=True) as ssock: conn, addr = ssock.accept() ... Context creation A convenience function helps create SSLContext objects for common purposes. ssl.create_default_context(purpose=Purpose.SERVER_AUTH, cafile=None, capath=None, cadata=None) Return a new SSLContext object with default settings for the given purpose. The settings are chosen by the ssl module, and usually represent a higher security level than when calling the SSLContext constructor directly. cafi

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