Abstract: A computer system for predicting an anomaly behavior (fraudulent behavior) for a user of a smart shopping cart (physical receptacle). The computer system gathers data associated with a physical activity of the user, the user being physically present at a location of a retailer and adding one or more items from the location of the retailer to the physical receptacle. The computer system applies a computer model to detect, based on the gathered data, one or more anomalies during the physical activity of the user, the one or more anomalies being indicative of the fraudulent behavior. In response to determining that the one or more detected anomalies satisfy a threshold condition for the fraudulent behavior, the computer system sends a communication to a management system of the retailer to cause at least one remedial action to be performed before the user physically leaves the location of the retailer.

Abstract: An automated checkout system accesses an image of an item inside a shopping cart and receives an identifier determined for the item inside the cart. The automated checkout system determines a load measurement for the item inside the cart using load sensors coupled to the cart. The automated checkout system encodes a feature vector of the item based at least on the determined weight, the accessed image, and the determined identifier. The automated checkout system inputs the feature vector to a machine-learning model to determine a confidence score describing a likelihood that the identifier determined for the item matches the item placed inside the cart. If the confidence score is less than a threshold confidence score, the automated checkout system generates a notification alerting an operator of an anomaly in the identifier.

Abstract: A control device for an HVAC fan control unit includes at least one sensor to provide a signal to the control device to determine the temperature of the working fluid supplied to a coil in the fan control unit. In a first configuration, the sensor determines if the working fluid is above or below a preselected temperature and the control device employs the signal from the sensor to determine if the fan control unit is in a heating or cooling mode. In a second configuration, the sensor measures the temperature of the working fluid and the control device employs the signal from the sensor to determine the heating, or cooling, ability of the fan control unit when utilizing the supplied working fluid. With two-pipe fan control units, a single sensor is employed on the working fluid supply pipe and a single signal representing the working fluid temperature is supplied to the control device.

Abstract: A control device for an HVAC fan control unit includes at least one sensor to provide a signal to the control device to determine the temperature of the working fluid supplied to a coil in the fan control unit. In a first configuration, the sensor determines if the working fluid is above or below a preselected temperature and the control device employs the signal from the sensor to determine if the fan control unit is in a heating or cooling mode. In a second configuration, the sensor measures the temperature of the working fluid and the control device employs the signal from the sensor to determine the heating, or cooling, ability of the fan control unit when utilizing the supplied working fluid. With two-pipe fan control units, a single sensor is employed on the working fluid supply pipe and a single signal representing the working fluid temperature is supplied to the control device.

Abstract: A system for management of distributed control and real-time data for an electric utility network having remote devices and legacy subsystems includes a distributed communications network and a plurality of nodes coupled to the distributed communications network. Each of the nodes includes a multi-protocol interface having a boundary protocol convertor comprising a protocol validation engine to validate messages and commands from the remote devices and an in-field distributed data analyzer. The multi-protocol interface provides a standard data model for the remote devices.

Abstract: A system for management of distributed control and real-time data for an electric utility network having remote devices and legacy subsystems includes a distributed communications network and a plurality of nodes coupled to the distributed communications network. Each of the nodes includes a multi-protocol interface having a boundary protocol convertor comprising a protocol validation engine to validate messages and commands from the remote devices and an in-field distributed data analyzer. The multi-protocol interface provides a standard data model for the remote devices.