Abstract: Described are systems, methods, and apparatus that enable power management and reduction at both the individual and group level to help reduce the overall power demand on a power system. One or more sensors may be positioned at different locations that collect and provide various sensor data to a remote computing system, referred to herein as a management system. The management system maintains location profiles for each location, user profiles for users at the various locations, and may also receive third party data, such as weather patterns, power system load, etc. The management system utilizes the received data to determine one or more energy saving actions that may be performed at the location(s) to reduce energy consumption and lower the demand on the power system.

Abstract: Techniques for training machine-learning algorithms with the aid of voice tags are described herein. An environment may include sensors configured to generate sensor data and devices configured to perform operations. Sensor data as well as indications of actions performed by devices within the environment may be collected over time and analyzed to identify one or more patterns. Over time, a model that includes an association between this sensor data and device actions may be created and trained such that one or more device actions may be automatically initiated in response to identifying sensor data matching the sensor data of the model. To aid in the training, a user may utter a predefined voice tag each time she performs a particular sequence of actions, with the voice tag indicating to the system that temporally proximate sensor data and device-activity data should be used to train a particular model.

Abstract: A method and apparatus reduces current consumption of a mobile communication unit, such as a cellular or mobile telephone that communicates with a base station by disabling a temperature controlled crystal oscillator and a code generator while the mobile communication unit is in a sleep mode of operation, thereby reducing the sleep mode current consumed by the mobile communication unit. Prior to entering sleep mode, the mobile communications unit stores the state of the code generator and disables the temperature controlled crystal oscillator. Upon waking from sleep mode, the mobile communication unit calculates what the state of its code generator would have been if its temperature controlled crystal oscillator had not been disabled, and uses this calculated state to achieve synchronization with a code generator in the base station.

Abstract: A low power regenerative feedback device and method automatically increases bias current during positive large-signal slewing, enabling output to change faster. When the device is not in a positive slew, bias currents are unchanged, providing a low standby current. Since regenerative feedback is internal and automatic to the device, current is increased only for the device driving an active column of an LCD panel. Thus, the present invention is power efficient. In addition, the AC response of the device is preserved because the device utilizes a regenerative feedback circuit that does not add appreciable excess phase shift. The device achieves an output that switches readily from positive supply to negative supply.