Abstract: A multi-sensor device includes a housing having multiple cavities and one or more sensor modules. Each sensor module is configured to occupy one of the cavities, and each sensor module is configured to sense at least one plant-related parameter when the multi-sensor device is positioned proximate to a plant. The multi-sensor device also includes a control unit configured to control operation of the one or more sensor modules and a location tracking system configured to track a location of the multi-sensor device. The multi-sensor device further includes a communications interface configured to transmit information including data from the one or more sensor modules. In addition, the multi-sensor device includes an electrical power connector configured to connect the multi-sensor device to a power source.

Abstract: Techniques are disclosed for management of edge devices. For example, a method comprises coordinating operation of a plurality of edge devices in a system to process a plurality of workloads. The coordinating of the operation of the plurality of edge devices in the system comprises coordinating one or more times for changing a state of at least a subset of the plurality of edge devices from a first state corresponding to a first level of activity to a second state corresponding to a second level of activity. By way of further example, the coordinating of the operation of the plurality of edge devices in the system may further comprise coordinating one or more times for the processing of the plurality of workloads by at least the subset of the plurality of edge devices in the system.

Abstract: A mobile sensory platform includes a propulsion system configured to move the platform within a growing area, a vertically-extending support, and sensors in or on the support. Different sensors are positioned at different heights along the support. The sensors are configured to capture data associated with plants in the growing area. The platform also includes a communication interface configured to support two-way wireless communication, a power supply, and a control system configured to control movement of the platform and operation of the sensors. The sensors include microclimate sensors configured to sense microclimates around individual ones of the plants and stereo imaging sensors configured to capture images of the plants. The sensors are configured to non-invasively capture multi-dimensional data points for the individual ones of the plants. At least some of the multi-dimensional data points are associated with a 3D structure of a canopy of the individual ones of the plants.

Abstract: A priori geo-referenced 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 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.

Abstract: Disclosed herein are embodiments for optimization of an energy grid system. First and second prediction models associated with a first energy grid system and a second energy grid system, respectively, may be trained based on historical data associated with each energy grid system. A prediction model basis may be created including the first and second prediction models. Training data associated with a third energy grid system may be input into each prediction model of the prediction model basis, and an accuracy of the prediction models may be evaluated to determine whether the prediction model basis is complete. When complete, a context-matching model may be trained based on subsequent energy grid systems until the context-matching model is determined to be sufficiently accurate. Then, the context-matching model may be used to identify a prediction model matching a new energy grid system, which may be used to warm-start the new energy grid system.

Abstract: In an embodiment, a system may include one or more processors forming central processing units (CPUs) in the system, a display controller configured to display frames on a display device, a memory controller configured to control a memory, and a power management circuit. The power management circuit may be configured to establish one of a plurality of power states in the system. In a first power state, the display controller and the memory controller are powered on while the CPUs are powered off. The display controller may be configured to read a plurality of prerendered frames from the memory and display the plurality of prerendered frames at times specified for each of the plurality of prerendered frames.

Abstract: Systems and methods for activity-based device recommendations are disclosed. For example, historical usage data associated with a device may indicate that the device is likely to be associated with a given state at a given time. When the device is not in the anticipated state, a recommendation to transition the device state, for example, may be sent. Additionally, a determination of the activity state associated with the device, such as an active state, an asleep state, and/or an away state may be utilized to determine the recommendation to surface, to determine whether to send a recommendation, and when and/or how to send the recommendation.

Abstract: A feedback control device that takes information regarding a control deviation between a measured value and a desired value of a controlled object as input, and outputs a manipulated variable for the controlled object, includes: a first control unit that takes information regarding the control deviation as input, and outputs a manipulated variable for the controlled object; a second control unit that takes information regarding the control deviation as input, and that includes a learning control unit in which a parameter for outputting a manipulated variable for the controlled object is determined by machine learning; and an adder that adds a first manipulated variable output from the first control unit and a second manipulated variable output from the second control unit. A manipulated variable from the adder is output to the controlled object, and the second control unit includes a limiter that limits the second manipulated variable.

Abstract: Aspects of the disclosure include methods, systems, and apparatus, including computer-readable storage media for multi-mode integrated circuits with balanced energy consumption. A method includes determining, by one or more processors and based at least on a maximum energy threshold for planned multi-mode system having one or more processing units, a respective number of operations that can be performed per clock cycle by the processing units for each operating mode. The system is configured to consume the same amount of energy per clock cycle in each operating mode, but perform more operations in operating modes corresponding to operations performed on smaller bit-width operands.

Abstract: Provided is a product manufacturing system including: a manufacture control apparatus configured to hold manufacturing data on a product; a virtual manufacturing apparatus configured to virtually manufacture the product by simulation, based on the manufacturing data on the product in the manufacture control apparatus; a physical manufacturing apparatus configured to physically manufacture the product based on the manufacturing data in the manufacture control apparatus; an abnormality determination unit configured to determine whether there is an abnormality in the virtual manufacture of the product by the virtual manufacturing apparatus. When it is determined there is no abnormality from the virtual manufacture of the product, the physical manufacturing apparatus physically manufactures the product.

Abstract: Methods and apparatus relating to platform power consumption reduction via power state switching are described. In one embodiment, control logic causes a processor to enter a first low power consumption state (e.g., S0ix) instead of a second low power consumption state (e.g., S3) based on whether a threshold time period exists between a first wake event (e.g., corresponding to a first one of one or more awake requests) and a second wake event (e.g., corresponding to a second one of the one or more awake requests). Other embodiments are also claimed and disclosed.

Abstract: A system faults to a return air sensor integrated within a heating, ventilation, and air conditioning (HVAC) unit. The system transmits a signal to a remote sensor. The system determines that a return signal is not received from the remote sensor. The system obtains a temperature reading from the return air sensor. The system determines whether the temperature reading satisfies a temperature setting stored in the memory. In response to determining that the temperature reading does not satisfy the temperature setting, the system enables heating or cooling of the HVAC unit until the temperature setting is satisfied. In response to determining that the temperature reading satisfies the temperature setting, the system disables heating or cooling of the HVAC unit.

Abstract: The present disclosure is directed to a device configured to detect whether the device is in a bag or being taken out of the bag. The device determines whether the device is in a bag or being taken out of the bag based on motion measurements generated by a motion sensor and electrostatic charge measurements generated by an electrostatic charge sensor. By using both distance measurements and motion measurements, the device is able to detect whether the device is in the bag or being taken out of the bag with high efficiency, accuracy, and robustness.

Abstract: A power monitoring device (PMD) can perform real-time remote managing, status reporting and analysis on the health/condition of equipment connected to the PMD. For example, a PMD provides data such as whether the equipment connected is idling, fully operating, malfunctioning, etc. The PMD can turn the power on/off, trigger system alert, and perform time-delayed or special profile programming to manage and monitor equipment usage. A power signature identification capability can identify what equipment such as monitor, laptop, lighting equipment, etc., are being connected. A configuration can be used by the power management device based at least in part on the waveform information (e.g., device model, activity status, etc.). Real-time diagnosis and collection of energy consumption and usage pattern can be aggregated for planning and management. Asset management can be enabled by discovering which models of devices are active and connected to a predetermined power management device.

Abstract: The present invention relates to a feedback device and a method of providing thermal feedback using the same. A method for calibration of an intensity of a thermal feedback of a feedback device may comprise: outputting the thermal feedback in order from a weak intensity to a strong intensity among a plurality of intensities of the thermal feedback; obtaining a first user input; setting an intensity of the thermal feedback outputted at the time of the obtaining the first user input to a lowest intensity of the thermal feedback; obtaining a second user input; setting an intensity of the thermal feedback outputted at the time of the obtaining the second user input to a highest intensity of the thermal feedback; setting at least one intermediate intensity; and outputting the thermal feedback by using the lowest intensity, the highest intensity and the at least one intermediate intensity.

Abstract: Devices and techniques are disclosed herein for predicting and optimizing energy usage of a device during low-power operation. In an example, a method can include storing a duration of a plurality of low-power intervals of a device, determining a probable duration of a next low-power interval of the device based on the durations of the plurality of low-power intervals, determining a low-power state of the device for the next low-power interval based on the probable duration, upon initiating the next low-power interval, saving state information of one or more sub-systems of the device to provide first state information in response to the low-power state, and upon initiating the next low-power interval, reducing a power state of the one or more sub-systems.

Abstract: An electronic device is provided. The electronic device includes a battery, a power management integrated circuit (PMIC), that is electrically connected to the battery, adjusts at least part of power received from the battery, and outputs a controlled power, a processor electrically connected to the PMIC, at least one power sensor that is one of electrically connected between the battery and the PMIC and constitutes a part of the PMIC, and a control circuit electrically connected to the at least one power sensor. The control circuit acquires at least one of a current value and a power value input into the PMIC from the battery, determines whether at least one of the acquired current value and power value is greater than or equal to a threshold, and generates a first signal for controlling at least one of the PMIC and the processor, at least partially based on the determination.

Abstract: Methods are directed towards dynamically determining refrigerant film thickness at the rolling-element bearing and for dynamically controlling refrigerant film thickness at the rolling-element bearing. Further, an oil free chiller system is configured for dynamically determining refrigerant film thickness at the rolling-element bearing of the oil free chiller system, wherein the oil free chiller system is also configured for dynamically controlling refrigerant film thickness at the rolling-element bearing of the oil free chiller system.

Abstract: The present invention provides devices, systems and methods for installing water potential detectors in plants stems, measuring the water potential in the plants, and evaluating crop irrigation conditions.

Abstract: Systems and methods provide for the determination and correction of tooling deviation by comparing two different three-dimensional surface scans of a composite panel after curing. Such methods and systems may allow for less accurate post-cure fixturing (e.g., holding the panel in a less constrained state, as compared to prior art techniques), while still maintaining a sufficient amount of precision for predictive shimming and shimless techniques. Methods include performing a first three-dimensional surface scan, performing a second three-dimensional surface scan, and comparing the two to determine a deformation function corresponding to tooling deviation. In some systems, a header structure is used to hold the composite panel in a nominal configuration for the second three-dimensional surface scan. In some systems, scanning devices perform mirrored scanning on either side of the composite panel, using a common reference frame.