Our entry level suggested "Glossary of Terms" essential to understanding the United Nations Agenda 2030:
Global Infromation Grid (GIG): The Global Information Grid (GIG), now referred to as the Department of Defense Information Network (DODIN), refers to the entire network of information transmission and processing capabilities maintained by the United States Department of Defense. It is a worldwide network of information transmission, of associated processes, and of personnel serving to collect, process, safeguard, transmit, and manage this information. It is an all-encompassing communications project of the United States Department of Defense.
https://en.wikipedia.org/wiki/Global_Information_Grid
Net-Centric Warfare of trace, track and target everyone 24-7. Network-centric warfare, also called network-centric operations or net-centric warfare, is a military doctrine or theory of war that aims to translate an information advantage, enabled partly by information technology, into a competitive advantage through the computer networking of dispersed forces. It was pioneered by the United States Department of Defense in the 1990s.
https://en.wikipedia.org/wiki/Network-centric_warfare
Sensors, Wireless Sensor Networks, Quantum BOTS, SMART DUST MESH: Electromagnetic warfare or electronic warfare (EW) is warfare involving the use of the electromagnetic spectrum (EM spectrum) or directed energy to control the spectrum, attack an enemy, or impede enemy operations. The purpose of electromagnetic warfare is to deny the opponent the advantage of—and ensure friendly unimpeded access to—the EM spectrum. Electromagnetic warfare can be applied from air, sea, land, or space by crewed and uncrewed systems, and can target communication, radar, or other military and civilian assets.
https://en.wikipedia.org/wiki/Electronic_warfare
https://www.dhs.gov/science-and-technology/biosurveillance
https://www.baesystems.com/en-us/definition/what-is-cognitive-electronic-warfare
https://en.wikipedia.org/wiki/Situation_awareness
https://en.wikipedia.org/wiki/Wireless_sensor_network
https://en.wikipedia.org/wiki/Smartdust
Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents' actions and the environmental conditions. Since the 1980s, this research field has captured the attention of several computer science communities due to its strength in providing personalized support for many different applications and its connection to many different fields of study such as medicine, human-computer interaction, or sociology.
Activity recognition: Due to its multifaceted nature, different fields may refer to activity recognition as plan recognition, goal recognition, intent recognition, behavior recognition, location estimation and location-based services.
https://en.wikipedia.org/wiki/Activity_recognition
Human Activity Recognition Radar (HARR) renamed:
Hierarchical Human Activity (HAR) Recognition: Hierarchical human activity recognition is a technique within computer vision and machine learning. It aims to identify and comprehend human actions or behaviors from visual data. This method entails structuring activities hierarchically, creating a framework that represents connections and interdependencies among various actions. HAR techniques can be used to understand data correlations and model fundamentals to improve models, to balance accuracy and privacy concerns in sensitive application areas, and to identify and manage trivial labels that have no relevance in specific use cases.
Updated Assessment of Anomalous Health Incident PDF:
https://www.dni.gov/index.php/newsroom/reports-publications/reports-publications-2023/3673-dni-statement-on-the-intelligence-community-assessment-on-ahis
https://odysee.com/@Psinergy:a?view=content
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