Abstract: The present disclosure is drawn to a low-cost commissioning method for the air-conditioning systems in existing large public buildings, that mainly aims at the commissioning of the air-conditioning system. The system comprises a system analysis sub-module, a load prediction sub-module, an optimization scheme sub-module, and a control strategy sub-module. The main method in the commissioning system is a low-cost commissioning method for the air-conditioning systems in existing large public buildings.

Abstract: Examples disclosed herein are relevant to systems, methods, and other technology for determining furniture compatibility. For example, graph neural networks (GNNs) that leverage relational information between furniture items in a set may be used as models to predict a compatibility score indicative of visual compatibility of furniture items across the set. In one implementation, the GNN-based model can extend the concept of a siamese network to multiple inputs and branches and use a generalized contrastive loss function. In another implementation, the GNN-based model learns both an edge function and the function that generates the compatibility score. The predicted compatibility score can be used for a variety of purposes, including furniture item recommendations.

Abstract: A control system for controlling an energy storage system includes a controller including a plurality of layered nodes configured to form an artificial neural network trained to generate a forecasted transmission level load and confidence value for an entire jurisdiction of a utility distribution system. The controller includes at least one memory and at least one processor configured for: identifying a potential coincident peak for the utility distribution system based on the forecasted transmission level load and confidence value generated by the artificial neural network; and upon identifying a potential coincident peak, transmitting signals to cause the electrical infrastructure to consume energy stored at the energy storage system thereby reducing the energy drawn from the utility distribution system during the identified potential coincident peak.

Abstract: A control system for controlling an energy storage system includes a controller including a plurality of layered nodes configured to form an artificial neural network trained to generate a forecasted transmission level load and confidence value for an entire jurisdiction of a utility distribution system. The controller includes at least one memory and at least one processor configured for: identifying a potential coincident peak for the utility distribution system based on the forecasted transmission level load and confidence value generated by the artificial neural network; and upon identifying a potential coincident peak, transmitting signals to cause the electrical infrastructure to consume energy stored at the energy storage system thereby reducing the energy drawn from the utility distribution system during the identified potential coincident peak.

Abstract: A method and system for optimizing a core voltage level of a portable computing device (“PCD”) and enhancing frequency performance of individual subcomponents are disclosed. A plurality of voltage values is determined for a plurality of subcomponents within the PCD. Next, a reduced set of voltage values may be calculated with a voltage aggregator based on the plurality of voltage values. An optimized voltage level for a shared power domain may then be determined by a voltage optimizer within the PCD from the reduced set of voltage values. A shared power domain may then be set to the optimized voltage level. Subsequently, an operating frequency of each subcomponent may be optimized with a frequency performance enhancer based on the optimized voltage level. An optimal power collapse duration may also be calculated by the frequency performance enhancer and set for each subcomponent from the optimal frequency.

Abstract: System and methods are provided for touch detection. The system includes: a sensing capacitive network configured to generate a touch-sensing signal based at least in part on a touch panel capacitance; an internal capacitive network configured to generate an input signal based at least in part on a predetermined internal capacitance; a comparative network configured to compare the touch-sensing signal with a reference signal to generate a first comparison result and compare the input signal with the reference signal to generate a second comparison result; and a signal processing component configured to generate a detection result to indicate whether a touch event occurs on the touch panel based at least in part on the first comparison result and the second comparison result.

Abstract: A method and system for optimizing a core voltage level of a portable computing device (“PCD”) and enhancing frequency performance of individual subcomponents are disclosed. A plurality of voltage values for a plurality of subsystems is determined. At least one subsystem is a multiplexed subsystem. Next, a reduced set of voltage values is calculated based on the plurality of voltage values and an optimized voltage level is determined for a shared power domain. The shared power domain is subsequently set to the optimized voltage level. If the optimized voltage level is determined to exceed a required voltage level for the at least one multiplexed subsystem when it is running the plurality of processing engines, a subset of the plurality of processing engines may be identified to process a workload of the multiplexed system at a more efficient level of power consumption than the full plurality of processing engines.

Abstract: In an example, a method includes encoding video data at a first video quality using an encoding parameter, and determining an operating characteristic of one or more components of an electronic device configured to record the video data. The method also includes adjusting the encoding parameter based at least in part on the determined operating characteristic and while maintaining the first video quality, and encoding the video data at the first video quality using the adjusted encoding parameter.

Abstract: System and methods are provided for touch detection. The system includes: a sensing capacitive network configured to generate a touch-sensing signal based at least in part on a touch panel capacitance; an internal capacitive network configured to generate an input signal based at least in part on a predetermined internal capacitance; a comparative network configured to compare the touch-sensing signal with a reference signal to generate a first comparison result and compare the input signal with the reference signal to generate a second comparison result; and a signal processing component configured to generate a detection result to indicate ether a touch event occurs on the touch panel based at least in part on the first comparison result and the second comparison result.

Abstract: In an example, a method includes encoding video data at a first video quality using an encoding parameter, and determining an operating characteristic of one or more components of an electronic device configured to record the video data. The method also includes adjusting the encoding parameter based at least in part on the determined operating characteristic and while maintaining the first video quality, and encoding the video data at the first video quality using the adjusted encoding parameter.

Abstract: A method and system for optimizing a core voltage level of a portable computing device (“PCD”) and enhancing frequency performance of individual subcomponents are disclosed. A plurality of voltage values is determined for a plurality of subcomponents within the PCD. Next, a reduced set of voltage values may be calculated with a voltage aggregator based on the plurality of voltage values. An optimized voltage level for a shared power domain may then be determined by a voltage optimizer within the PCD from the reduced set of voltage values. A shared power domain may then be set to the optimized voltage level. Subsequently, an operating frequency of each subcomponent may be optimized with a frequency performance enhancer based on the optimized voltage level. An optimal power collapse duration may also be calculated by the frequency performance enhancer and set for each subcomponent from the optimal frequency.