Abstract: Systems for performing an automated, in situ calibration of one or more sensors of internet of things (IoT) systems include one or more emulators capable of generating calibration set points that are applied to the sensors during the calibration process. The systems also include one or more computing devices configured to store the data necessary for the calibrations. The computing devices are further configured to monitor the sensor outputs during normal operation of the IoT systems to check for a loss of calibration or compromised data integrity; execute an automated calibration of a upon the detection of a loss of calibration or data-integrity issue; and validate the calibration results.

Abstract: Air sensing and purification systems include interconnected components that can both sense and cleanse an airborne viral load quickly and efficiently, minimizing the probability of human infection in the presence of a virus such as COVID-19. The systems can include a biosensing or viral load sensing system configured to measure an airborne viral load and probability of infection from the viral load; and an air purification device configured to effectively neutralize the virus in the adjacent space. The system also can include an alarm hub. The alarm hub can be a local server/hub that is wirelessly connected to the viral load sensing system and the air purification device; and can house strong visual and/or audible alarms to make the user aware of any breach of the social distancing protocol, and/or a high airborne viral load.

Abstract: The present disclosure is directed to a carbogenic nanoparticle polymer inks including a conducting polymer, such as those made of CQD-PPy and/or R-GO-PPy, methods of making the inks, and moisture and VOC sensors made therefrom.

Abstract: Systems for performing an automated, in situ calibration of one or more sensors of internet of things (IoT) systems include one or more emulators capable of generating calibration set points that are applied to the sensors during the calibration process. The systems also include one or more computing devices configured to store the data necessary for the calibrations. The computing devices are further configured to monitor the sensor outputs during normal operation of the IoT systems to check for a loss of calibration or compromised data integrity; execute an automated calibration of a upon the detection of a loss of calibration or data-integrity issue; and validate the calibration results.

Abstract: Apparatus, system, and method for diagnosing status of electrical line performance by receiving and analyzing a plurality of electrical line data from a plurality of lines includes a collection of internet of things sensors, a communication network, local firmware boards, a data hub, a computation engine, a machine learning engine, and an internet of things server operatively connected to the machine learning engine.

Abstract: A method and system of a distributed power line diagnosis includes one or more electrical readings received at a firmware board computation engine and an output of firmware board engine computation being transmitted through a wide communication network to a data hub computation engine. An output of the data hub computation engine is transmitted through the communication network to a big data server. One or more electrical line issues are visualized based on an analysis through the big data server and the same can be indicated through a user interface dynamic and an alarm can be set as well through the processor for the one or more electrical line issues.

Abstract: A method and system of a distributed power line diagnosis includes one or more electrical readings received at a firmware board computation engine and an output of firmware board engine computation being transmitted through a wide communication network to a data hub computation engine. An output of the data hub computation engine is transmitted through the communication network to a big data server. One or more electrical line issues are visualized based on an analysis through the big data server and the same can be indicated through a user interface dynamic and an alarm can be set as well through the processor for the one or more electrical line issues.