Abstract: A system for monitoring an industrial system for cyberattacks includes an industrial control system including a plurality of actuators, a plurality of sensors each arranged to measure one of a plurality of operating parameters, and an edge device and a computer including a data storage device having stored thereon a program that includes each of a time-series database including expected operating ranges for each operating parameter, a clustering-based database that includes clusters of operating parameters having similarities, and a correlation database that includes pairs of operating parameters that show a correlation.

Abstract: Various embodiments comprise systems, methods, architectures, mechanisms, and apparatus providing location safety management implemented by cooperating mobile devices that operate in a privacy-secured manner to identify respective proximate infectious areas, build corresponding local datasets of the infectious areas, and share the datasets or relevant portions thereof with each other, such as in response to hierarchical location-based requests for such data. The datasets may be used to adapt the operation of navigation applications and the like so as to avoid routes, seats or locations associated with infectious areas and/or persons.

Abstract: A system for monitoring an industrial system for cyberattacks includes an industrial control system including a plurality of actuators, a plurality of sensors each arranged to measure one of a plurality of operating parameters, and an edge device and a computer including a data storage device having stored thereon a program that includes each of a time-series database including expected operating ranges for each operating parameter, a clustering-based database that includes clusters of operating parameters having similarities, and a correlation database that includes pairs of operating parameters that show a correlation.

Abstract: This disclosure provides methods for verifying the integrity of an additive manufacturing process during or after a three-dimensional (3D) print job. The methods include at least one of three validation layers: an acoustic layer, a spatial sensing layer, and a material verification layer. For the acoustic layer, the method includes determining the presence of a signature audio signal. For the spatial sensing layer, the method includes comparing a recorded trajectory with a reference trajectory. The method also includes determining the presence of a signature trajectory. For the material verification layer, the method includes determining the location of a special material in a 3D printed object based on a predetermined pattern in which the special material embedded in a filament. The methods allow for detecting alteration in the additive manufacturing process.