Proofing
Tech
Proof-of-Circularity
is a challenge
entire physical reality of circular loops
to be linked continuously with true & validated data
with different proves of status
The LAB's concept
Proof-of-Circularity
links multiple proofs of
attitude, data, geolocation, geometry, sensing, realities, learning
Gamification &
Serious Gaming
Gamifying reality, playing with the reality
Gamification is the strategic attempt to enhance systems, services, organizations, and activities by creating similar experiences to those experienced when playing games in order to motivate and engage users (Hamari, J. 2019). This is generally accomplished through the application of game-design elements and game principles (dynamics and mechanics) in non-game contexts. (Deterding, S., Dixon, D., Khaled, R. Nacke, L. 2011)
Serious game is a simulation played in analogue or digital platform with specific rules, that uses fun element for different sectors; corporate training, education, health, public policy, and strategic communication and coordination objectives. A serious game or applied game is a game designed for a primary purpose other than pure entertainment. The "serious" adjective is generally prepended to refer to video games used by industries like defense, education, scientific exploration, health care, emergency management, city planning, engineering, and politics (Djaouti, D, Alvarez, J., Jessel, J-P., 2015)
D L T / Distributed Ledger Technologies
The technology behind the Blockchain : Ledger
A distributed ledger is a database exists across several locations or among multiple participants. Distributed ledger technology (DLT) enables the operation of a highly available, append-only database (a distributed ledger) that is maintained by physically distributed storage and computing devices (referred to as nodes) in an untrustworthy environment. Every use case or application of this technology based on DLT systems design that is a specification of DLT concept.
Some of the DLT concepts are; DAG (Directed Acrylic Graph), BLOCK CHAIN, HAS GRAPHY, CORDA. Widespread use of the Blockchain applications emerged in finance, therefore, with the 3rd Generation approaches, real-world dynamics can be incorporated for new beginnings never experienced before towards nature-based solutions.
L I D A R
Laser Imaging Detection & Ranging
3 dimensional geometry of Earth and Space
LIDAR enables sensitive geometric measurement of spaces on Earth and Space. LIDAR is an application of LASER scanning technologies for capturing X, Y, Z points of any surface on earth and space, terrestrial and airborne, waterborne environments.
From forestry to archaeology wide range of application on earth, and Mars surface scanning to new generation mobile devices, this technology is paving the roads towards new geometric mathematics on earth and space. Some benefits of LIDAR includes to be easily converted into 3D maps to interpret the environment. It generates instantaneous, massive amounts of measurements, and can be accurate to a centimeter.
Geospatial Technologies
G I S + R S + G N S S
Geo–space: Superposition of space and time on Earth
Geospatial Technologies are emerging specialization and applied technological approach combines three inter-related technologies:
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Geographic Information Systems - GIS
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Remote Sensing - RS
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Global Navigation Satellite Systems - GNSS
Geospatial technologies acquire data referenced to the Earth that is called geo-reference and enable to be used for for analysis, modeling, simulations, and visualization.
GIS gives ability to capture and analyze spatial and geographic data via computer-based tools enables interactive queries, store and edit spatial and non-spatial data, analyze spatial information output, and visually share the results of these operations by presenting them as maps. GIS uses spatio-temporal (space-time) location as the key index variable and a relational database consist of texts and numbers using common key index variables. By combining location based and textual information, GIS allows to look at the world from completely multiple dimensional perspectives.
Remote Sensing detects and monitor geographical characteristics of a particular place from distance measuring via reflected and emitted radiation. Different technologies collect remotely sensed images, that sense the Earth from different perspectives.
Most popular GNSS are: Global Positioning System (GPS) from the USA, and other systems are BeiDou / BDS from the PRC (China), GALILEO from the European Union, GLONASS from the Russian Federation, NavIC / IRNSS from India, and QZSS from Japan.
Sensing Technologies &
IoT Internet of Things
Sensory networks talks with Internet of Things
Sensing technology, simply put, is a technology that uses sensors to acquire information by detecting the physical, chemical, or biological property quantities and convert them into readable signal. There are a wide variety of sensors available for practically any industrial need.
Sensors can improve the world through diagnostics in medical applications; improved performance of energy sources like fuel cells and batteries and solar power; improved health and safety and security for people; sensors for exploring space and the known university; and improved environmental monitoring.
The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet.
Immersive Technologies
& Media A R + V R + M R > X R
Towards multiple realities: Augmented, Virtual, Mixed to Extended
Immersive media is driven by the immersive technologies for creating, imitating the physical world via digital simulation. VR Virtual Reality immersing users into a virtual environment built over digital world. AR Augmented Reality creating an overlay of virtual content, but can’t interact with the environment. MR Mixed Reality mixes virtual reality - VR and the reality, it creates virtual objects that can interact with the actual environment. XR Extended Reality is the concept that brings AR, VR, and MR together.
Immersive media, applications support the Natural Intelligence concept for better circular impact economics in cities towards Nature-based Solutions under the "integrated ecosystems" philosophy in a number of ways:
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Improve collective decision making: Immersive media can be used to create shared experiences that allow stakeholders from different backgrounds to come together and discuss complex issues related to circular impact economics and Nature-based Solutions.
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Support better sense making: Immersive media can be used to create simulations and visualizations that help stakeholders to better understand the complex relationships between different systems, such as the economy, the environment, and society.
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Enable better measurement of circular impact: Immersive media can be used to collect and analyze data on a variety of factors related to circular impact economics and Nature-based Solutions.
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Promote better understanding of the benefits of circular impact economics and Nature-based Solutions: Immersive media can be used to create educational experiences that allow people to learn about the benefits of circular impact economics and Nature-based Solutions in a realistic and engaging way.
Artificial Intelligence,
Machine Learning, Neural Networks & Deep Learning
Artificial Intelligence for Natural Intelligence
Many people mixed the concepts. There is a systematic relations among these.
Each one is essentially a component of the prior term.
Machine learning is a component of artificial intelligence. Deep learning is a component of machine learning. Neural networks constitute the backbone of deep learning algorithms. The number of node layers, or depth, of neural networks distinguishes a single neural network from a deep learning algorithm. Three benefit scopes of applying AI for circular impact. at cities are:
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Understand and model complex urban ecosystems: AI can be used to collect and analyze large amounts of data on urban ecosystems, including factors such as air and water quality, biodiversity, and energy consumption. This data can then be used to develop models that can help us to understand how these ecosystems work and how they can be managed more sustainably.
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Identify and optimize opportunities for circularity: AI can be used to identify opportunities to reduce waste, reuse materials, and recycle products. For example, AI-powered waste management systems can help to optimize the collection and sorting of waste, and AI-powered manufacturing systems can help to design products for disassembly and recycling.
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Promote Nature-based Solutions: AI can be used to develop and implement Nature-based Solutions, such as green roofs, urban forests, and rainwater harvesting systems. These solutions can help to improve air and water quality, reduce energy consumption, and increase biodiversity.
