Abstract: The invention is generally directed to systems and methods of monitoring or predicting a service event for an industrial asset using an artificial intelligence of things (AIoT) system including an AIoT device, AIoT cloud, and a self-learning AI classification and analytics engine. The device may include one or more sensors and an inference engine for reducing power consumption and detecting anomalies at the edge and sending data associated with anomalies to a signal processor for classification and AI-driven automatic configuration. Classification may be based on narrow-band analysis and/or machine learning models. If an anomaly is detected power may be provided to a communication module to send sensor data to the signal processor for classification and/or further processing. Classifications or determinations made by the signal processor or detected through a work-order system may be used to automatically retrain the inference model on the edge, so that the system is self-learning.

Abstract: A growing system is described where plants are grown in containers and the containers are stored in stacks. Above the stacks runs a grid network of tracks on which load handling devices run. The load handling devices take containers from the stacks and deposit then at alternative locations in the stacks or deposit them at stations where goods may be picked out. The containers may be provided with one or more of the following services: power, power control, heating, lighting, cooling, sensing means, data logging means, growing means, water and nutrients.

Abstract: A growing system is described where plants are grown in containers and the containers are stored in stacks. Above the stacks runs a grid network of tracks on which load handling devices run. The load handling devices take containers from the stacks and deposit them at alternative locations in the stacks or deposit them at stations where goods may be picked out. The containers may be provided with one or more of the following services: power, power control, heating, lighting, cooling, sensing means, data logging means, growing means, water and nutrients.

Abstract: The invention is generally directed to systems and methods of monitoring or predicting a service event for an industrial asset using an artificial intelligence of things (AIoT) system including an AIoT device, AIoT cloud, and a self-learning AI classification and analytics engine. The device may include one or more sensors and an inference engine for reducing power consumption and detecting anomalies at the edge and sending data associated with anomalies to a signal processor for classification and AI-driven automatic configuration. Classification may be based on narrow-band analysis and/or machine learning models. If an anomaly is detected power may be provided to a communication module to send sensor data to the signal processor for classification and/or further processing. Classifications or determinations made by the signal processor or detected through a work-order system may be used to automatically retrain the inference model on the edge, so that the system is self-learning.

Abstract: A growing system is described where plants are grown in containers and the containers are stored in stacks. Above the stacks runs a grid network of tracks on which load handling devices run. The load handling devices take containers from the stacks and deposit then at alternative locations in the stacks or deposit them at stations where goods may be picked out. The containers may be provided with one or more of the following services: power, power control, heating, lighting, cooling, sensing means, data logging means, growing means, water and nutrients.

Abstract: Systems and methods for controlling access to content are disclosed. Content can be consumed by a device. Access to the content is controlled by duration. A device is provided with a token that allows the user to consume content via a subscription basis.

Abstract: Systems and methods are provided for distributing revenue derived from content consumption to publishers of the content and to a content aggregator.

Abstract: A computer-implemented method for electronic content management includes physically exposing an electric appliance to a power providing device that is arranged to provide electrical power to various electric appliances, including the electric appliance; automatically obtaining an electronic identifier for the electric appliance using the power providing device; and transmitting the electronic identifier from the power providing device to a remote computing system.

Abstract: A “hint” signal is developed which points to suspected erroneous bits in received data by examining anomalies in the signal. More particularly, a delta phase pointer which quantifies one of the anomalies is used. The realigning of an IQ pointer provides an additional anomaly which is prioritized along with the delta phase pointer. The particular error correcting code used for the power line application provides seven check bits for a data byte and permits the correction of up to two errors. A third error is correctable through use of the hint signal and a parity bit.

Abstract: A method and apparatus measure the accuracy of and optically calibrate a scan mirror. Both the method and apparatus may operate over a wide range of environmental conditions. The environmental conditions may include variations in pressure from a vacuum to several atmospheres. Similarly, large variations in temperature may be accommodated. The apparatus includes a laser source, a plurality of facet mirrors and a detector. The laser source projects a beam onto a reflective surface of a rotatable scan mirror, which directs the beam to each of the plurality of facet mirrors. Each facet mirror is positioned at a known angle. Each facet mirror in turn reflects the beam from the reflective surface of the scan mirror substantially back onto itself (autocollimation). The angle detector then receives the reflected beam and measures a value related to a return angle of the beam.

Abstract: The present invention is directed to providing a computer system which arbitrates control of a shared bus among plural devices included in the computer system. In accordance with the present invention, at least one of the devices is afforded a higher priority than the remaining devices, yet none of the remaining devices are effectively denied system bus access or control for extended periods of time. The present invention can therefore increase operating efficiency even as the number of devices included in the computer system is increased to achieve enhanced processing power. In addition, the present invention can provide sophisticated multimedia features, including real time signal processing, without sacrificing overall operating efficiency.

Abstract: The present invention is directed to providing a computer system which arbitrates control of a shared bus among plural devices included in the computer system. In accordance with the present invention, at least one of the devices is afforded a higher priority than the remaining devices, yet none of the remaining devices are effectively denied system bus access or control for extended periods of time. The present invention can therefore increase operating efficiency even as the number of devices included in the computer system is increased to achieve enhanced processing power. In addition, the present invention can provide sophisticated multimedia features, including real time signal processing, without sacrificing overall operating efficiency.