Abstract: Methods to infer user behavior are disclosed comprising a process of predefining one or more activities for a user application, providing a processor based device and user interface configured to operate with the device to support the user with tasks using the user application, the user application communicating an intent message to a transformative power management (TPM) application and the TPM configured to define and output an instruction for the application given the intention and the predefined activities. In some embodiments, the methods are implemented on a processor based device. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.

Abstract: Methods for power management are disclosed comprising a process of predefining one or more power mode for a user application, providing a processor based device and user interface configured to operate with the device to support the user with tasks using the user application, the user application communicating an intent message to a transformative power management (TPM) application and the TPM configured to define and output a power mode instruction for the application given the intention and the predefined power modes. In some embodiments, the methods are implemented on a processor based device. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.

Abstract: A device and method for detecting presence of a hazardous material in an environment or through a testing material, such as for example, a protective material. The device may include a sensor for detecting presence of the hazardous material. In particular, the hazardous material may have a vapor pressure of less than 0.5 mmHg. The sensor may comprise a conductive polymer, a semi-conductive polymer or an electroactive polymer, the sensor being chemically reactive with the hazardous material to generate a change in electrical resistance in the sensor. The device may include one or more conductive electrodes attached to the sensor configured to detect change in resistance in the sensor, and a resistance measuring device electronically connected to the one or more electrodes for receiving data from the electrodes and generating an output based on the data corresponding to an amount of hazardous material detected by the sensor in real-time.

Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.

Abstract: A device and method for detecting presence of a hazardous material in an environment or through a testing material, such as for example, a protective material. The device may include a sensor for detecting presence of the hazardous material. The sensor may comprise or be formed from a conductive polymer, a semi-conductive polymer or an electroactive polymer, the sensor being chemically reactive with the hazardous material to generate a change in electrical resistance in the sensor. The device may further include one or more conductive electrodes attached to the sensor configured to detect a change in resistance in the sensor, and a resistance measuring device electronically connected to the one or more electrodes for receiving data from the one or more electrodes and generating an output based on the data corresponding to an amount of hazardous material detected by the sensor in real-time.

Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.