Abstract: Systems and methods are disclosed which provide for a “factory-calibrated” sensor. In doing so, the systems and methods include predictive prospective modeling of sensor behavior, and also include predictive modeling of physiology. With these two correction factors, a consistent determination of sensitivity can be achieved, thus achieving factory calibration.

Abstract: A system and process for generating, on-site, a sustained C6+C7 aromatic rich solvent stream for tar solvation within the olefin plant employing a two-fuel oil tower system receiving a hydrocarbon feed from a quench water separator drum, where the two-fuel oil tower system is configured to make a sufficient solvent stream containing C6+C7 aromatic rich hydrocarbons that is recycled and mixed with quench water going to the quench water separator drum to assist in removing tar molecules out of the quench water.

Abstract: The disclosed invention provides system and method for providing autonomous actions that are consistently applied to evolving missions in physical and virtual domains. The system includes a autonomy engine that is implanted in computing devices. The autonomy engine includes a sense component including one or more sensor drivers that are coupled to the one or more sensors, a model component including a world model, a decide component reacting to changes in the world model and generating a task based on the changes in the world model, and an act component receiving the task from the decide component and invoking actions based on the task. The sense component acquires data from the sensors and extracts knowledge from the acquired data. The model component receives the knowledge from the sense component, and creates or updates the world model based on the knowledge received from the sense component.

Abstract: The disclosed invention provides system and method for providing autonomous actions that are consistently applied to evolving missions in physical and virtual domains. The system includes a autonomy engine that is implanted in computing devices. The autonomy engine includes a sense component including one or more sensor drivers that are coupled to the one or more sensors, a model component including a world model, a decide component reacting to changes in the world model and generating a task based on the changes in the world model, and an act component receiving the task from the decide component and invoking actions based on the task. The sense component acquires data from the sensors and extracts knowledge from the acquired data. The model component receives the knowledge from the sense component, and creates or updates the world model based on the knowledge received from the sense component.

Abstract: A micro-electromechanical system (MEMS) comprises a substrate incorporating an oscillatory ring, forcing electrodes for driving the ring into resonance, and sensing electrodes providing an electrical output signal dependent on oscillation of the ring as a result of such forcing and any externally applied force. A positive feedback circuit is provided for feeding back a signal dependent on the output signal of the sensing electrodes to the forcing electrodes in order to sustain oscillation of the ring. The use of positive feedback to drive the forcing electrodes in order to sustain oscillation of the ring is highly advantageous in such an application since it produces a system which exhibits very low phase noise of a magnitude considerably less than the phase noise experienced in use of a phase-lock loop circuit to sustain oscillation.