A priori geo-referenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the geo-referenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.

A mechanism is provided for utilizing localized clusters within a mesh network to aid in tracking environmental factors associated with information handling systems in an environment having a large number of information handling systems installed. Sensors within each information handling system measure a variety of environmental factors, such as, for example, temperature (CPU, ambient, air inlet, air exhaust, system board, and the like), air flow through the information handling system, fan speed, and hardware utilization. The sensor-derived environmental information is provided to a lead local cluster node, which can provide local responses to environmental values exceeding thresholds. Lead nodes generate a mapping of the environmental factors and provide that mapping to a data center management server. The data center management server collates environmental mapping information to derive a data center-wide environmental mapping used by management personnel to make adjustments to balance load, reduce temperatures, and reduce energy usage.

There is provided a functional element capable of preventing an oblique vibration due to a vibration leakage phenomenon from propagating to degrade the detection accuracy. A gyro element as the functional element includes a support body, a detection section, a drive coupling section having a first part and a second part, and a mass section connected to the drive coupling section, and connected to the support body via the drive coupling section, and the mass section performs the drive vibration in a direction along a third axis parallel to a normal line of a plane including the first axis and the second axis perpendicular to each other.

A method performed by one or more processing devices for ensuring that a vehicle seat top is qualified for use with a seat base for a vehicle seat, the method comprising: receiving information that identifies a type of vehicle seat top for coupling to the seat base; verifying that the vehicle seat top is authorized for use with the seat base; and in response to verifying, retrieving, based on the received information that identifies the type of vehicle seat top, pre-determined values of controller parameters of a closed loop control system for isolating vibrations from the vehicle seat top, wherein the predetermined values of the controller parameters are specifically tuned for the vehicle seat top.

There is provided a system for providing interactivity to a guest of an experiential venue, based on sensor measurement of the guest. The system comprises a sensor configured to sense a guest variable of the guest, where the sensor may be a biometric sensor, a facial recognition sensor, a voice stress analysis sensor, a gesture recognition sensor, a motion tracking sensor, or an eye tracking sensor, and may sense heart rate or another guest variable. The system also comprises a control system, which may be implemented as a computer, in communication with the sensor. The control system is configured to determine a guest state from the guest variable, and to modify a venue variable, for example by selecting a path a theme park ride follows. The control system modifies the venue variable according to the guest state to provide increased satisfaction to the guest of the experiential venue.

There is provided a system for providing interactivity to a guest of an experiential venue, based on sensor measurement of the guest. The system comprises a sensor configured to sense a guest variable of the guest, where the sensor may be a biometric sensor, a facial recognition sensor, a voice stress analysis sensor, a gesture recognition sensor, a motion tracking sensor, or an eye tracking sensor, and may sense heart rate or another guest variable. The system also comprises a control system, which may be implemented as a computer, in communication with the sensor. The control system is configured to determine a guest state from the guest variable, and to modify a venue variable, for example by selecting a path a theme park ride follows. The control system modifies the venue variable according to the guest state to provide increased satisfaction to the guest of the experiential venue.

A rotating equipment system with in-line drive-sense circuit (DSC) electric power signal processing includes rotating equipment, in-line drive-sense circuits (DSCs), and one or more processing modules. The in-line DSCs receive input electrical power signals and generate motor drive signals for the rotating equipment. An in-line DSC receives an input electrical power signal, processes it to generate and output a motor drive signal to the rotating equipment via a single line and simultaneously senses the motor drive signal via the single line. Based on the sensing of the motor drive signal via the single line, the in-line DSC provides a digital signal to the one or more processing modules that receive and process the digital signal to determine information regarding one or more operational conditions of the rotating equipment, and based thereon, selectively facilitate one or more adaptation operations on the motor drive signal via the in-line DSC.

A system for managing performance of one or more electrical components in real-time is disclosed. The system includes one or more sensors coupled to one or more energy consuming devices and adapted to provide working conditions of the one or more energy consuming devices. The system further includes one or more actuators coupled to and configured to control the one or more energy consuming devices. Additionally, the system includes a computing device in electrical communication with the one or more sensors and the one or more actuators. The system also includes a database capable of retaining an instruction program for the computing device. The computing device includes a processor that is configured to receive data from the one or more sensors, analyze data from the one or more sensors, and execute the instruction program received from the database in order to optimize operation of the one or more energy consuming devices based on one or more criteria.

Techniques for saving energy efficient setpoints are described herein. A computing device can detect a change in a setpoint schedule based on setpoint data from a client computing device. The computing device can determine that the change in the setpoint schedule decreases energy consumption for a corresponding utility customer associated with the client computing device. The computing device can generate a notification including an indication that the change in the setpoint schedule decreases energy consumption for the corresponding utility customer. The computing device can further send the notification to the client computing device to cause a prompt to be displayed on a user interface of the client computing device, in which the prompt includes the sent notification. The computing device may cause a prompt to be displayed on the client computing device that includes options including an option to adopt the change in the setpoint schedule using the setpoint data.

A method for controlling an economizer in a building HVAC system includes providing a manipulated variable as an input to a control process, holding the manipulated variable at a first extremum during a first portion of an evaluation period, and applying a dither signal to the manipulated variable during a second portion of the evaluation period. The dither signal causes the manipulated variable to deviate from the extremum. The method further includes monitoring a variable of interest output by the control process during the first and second portions of the evaluation period and switching the manipulated variable to a second extremum opposite the first extremum in response to the variable of interest moving toward an optimal value during the second portion of the evaluation period.