Abstract: A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth.

Abstract: A home computing cloud (HCC) supports one or more Internet of Things (IoT) devices, possibly with different connectively protocols, in a local environment. The HCC often reduces the amount of data traffic sent to a public computing cloud (PCC) by locally processing collected device data rather than by sending the device data to the PCC for processing. This approach reduces the amount of data traffic sent over the network, improves data privacy and helps to maintain a desired quality of service level. In order to do so, the HCC may download an appropriate data analytic model from the PCC, train the model, execute the trained model to obtain prediction information from collected IoT device data, and upload the trained model to the PCC. Alternatively, the HCC and PCC may execute sub-models of the analytic model and exchange the outputs of the sub-models with each other.

Abstract: A home computing cloud (HCC) supports one or more Internet of Things (IoT) devices, possibly with different connectively protocols, in a local environment. The HCC often reduces the amount of data traffic sent to a public computing cloud (PCC) by locally processing collected device data rather than by sending the device data to the PCC for processing. This approach reduces the amount of data traffic sent over the network, improves data privacy and helps to maintain a desired quality of service level. In order to do so, the HCC may download an appropriate data analytic model from the PCC, train the model, execute the trained model to obtain prediction information from collected IoT device data, and upload the trained model to the PCC. Alternatively, the HCC and PCC may execute sub-models of the analytic model and exchange the outputs of the sub-models with each other.

Abstract: A home computing system (cloud) integrates a protocols gateway, WiFi router, cloud server, and mass storage device to support one or more Internet of Things (IoT) devices, possibly with different connectively protocols, in a local environment such as a residential home. The home computing cloud often reduces the amount of data traffic sent to a public computing cloud by locally processing collected device data rather than by sending the device data to the public computer cloud for processing. The home computing cloud may download an appropriate data analytic model from the public computing cloud, locally train (for example, reinforcement learning) the model, and locally execute the trained model to obtain prediction information from collected IoT device data. The home computing cloud also allows direct access of the connected IoT devices by user applications via the internet, through a protocols gateway and an IoT message translator.

Abstract: An aspect of the embodiments provides a compensation for the temperature rise effect on the printed circuit board (PCB) of an electronic thermostat to obtain better precision and performance. Once the measurements from the temperature sensors have stabilized, the compensated ambient temperature may be used by an associated system (for example, a Heating, Ventilation, and Air Conditioning (HVAC) system).

Abstract: Electronic thermostats are expanding to a higher integration of services that includes, for example, the integration of a home Internet-of-Things (IoT) gateway, local rule control, local machine learning capability, and higher resolution thin-film transistor (TFT) display. However, the required incorporation of higher processing power control units and/or large display typically results in a higher heat dissipation of electronic components, thus increasing the temperature around the components of an electronic thermostat. The system heat dissipation consequently degrades the accuracy of the on-board temperature sensors. An aspect of the embodiments provides a compensation for the temperature rise effect on the printed circuit board (PCB) of the electronic thermostat to obtain better precision and performance. Once the measurements from the temperature sensors have stabilized, the compensated ambient temperature may be used by an associated system (for example, a HVAC system).

Abstract: Apparatuses and methods detect a health condition of a user that may be assessed from a thermal sensor signal and/or radar sensor signal. One or more resultant biometric vectors may be generated from biometric vectors based on the thermal and radar signals, where the resultant biometric vectors contain resultant information about one or more biometric features for a user. Hazard information about the user is obtained from the one or more resultant biometric vectors, where the hazard information is indicative of a health event for the user. Consequently, an appropriate action on behalf of the user may be performed to ameliorate the health condition. The one or more resultant biometric vectors may include additional biometric features and/or a time sequence of the resultant biometric vectors to enhance hazard prediction. Moreover, the apparatuses and methods may support the user in different settings including a home, business, or vehicle.

Abstract: A home computing system (cloud) integrates a protocols gateway, WiFi router, cloud server, and mass storage device to support one or more Internet of Things (IoT) devices, possibly with different connectively protocols, in a local environment such as a residential home. The home computing cloud often reduces the amount of data traffic sent to a public computing cloud by locally processing collected device data rather than by sending the device data to the public computer cloud for processing. The home computing cloud may download an appropriate data analytic model from the public computing cloud, locally train (for example, reinforcement learning) the model, and locally execute the trained model to obtain prediction information from collected IoT device data. The home computing cloud also allows direct access of the connected IoT devices by user applications via the internet, through a protocols gateway and an IoT message translator.

Abstract: A home computing cloud (HCC) supports one or more Internet of Things (IoT) devices, possibly with different connectively protocols, in a local environment. The HCC often reduces the amount of data traffic sent to a public computing cloud (PCC) by locally processing collected device data rather than by sending the device data to the PCC for processing. This approach reduces the amount of data traffic sent over the network, improves data privacy and helps to maintain a desired quality of service level. In order to do so, the HCC may download an appropriate data analytic model from the PCC, train the model, execute the trained model to obtain prediction information from collected IoT device data, and upload the trained model to the PCC. Alternatively, the HCC and PCC may execute sub-models of the analytic model and exchange the outputs of the sub-models with each other.

Abstract: A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth.

Abstract: A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth.

Abstract: Apparatuses and methods detect a health condition of a user that may be assessed from a thermal sensor signal and/or radar sensor signal. One or more resultant biometric vectors may be generated from biometric vectors based on the thermal and radar signals, where the resultant biometric vectors contain resultant information about one or more biometric features for a user. Hazard information about the user is obtained from the one or more resultant biometric vectors, where the hazard information is indicative of a health event for the user. Consequently, an appropriate action on behalf of the user may be performed to ameliorate the health condition. The one or more resultant biometric vectors may include additional biometric features and/or a time sequence of the resultant biometric vectors to enhance hazard prediction. Moreover, the apparatuses and methods may support the user in different settings including a home, business, or vehicle.

Abstract: A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth.

Abstract: A wireless power adapter includes a receiver coil system, a transmitter coil system and a conversion stage. The receiver coil system is compatible with a specification and can efficiently receive wireless power transmitted by a transmitter compliant with that specification. The transmitter coil system is compatible with a different specification and can produce wireless power to be efficiently transmitted to a receiver compliant with that specification. The conversion stage converts between the two specifications.

Abstract: A wireless power adapter includes a receiver coil system, a transmitter coil system and a conversion stage. The receiver coil system is compatible with a specification and can efficiently receive wireless power transmitted by a transmitter compliant with that specification. The transmitter coil system is compatible with a different specification and can produce wireless power to be efficiently transmitted to a receiver compliant with that specification. The conversion stage converts between the two specifications.

Abstract: A socket adaptor for an LED lamp includes an adaptor body and an AC-DC converter disposed in the adaptor body. The adaptor body includes a holder for receiving an LED lamp, the holder being configured according to industrial standards. The adaptor body also includes an external base for attaching the socket adaptor to a lamp holder, the external base being configured according to the industrial standards.

Abstract: A light emitting diode (LED) display screen including a plurality of LED display modules is disclosed. Each of the plurality of LED display modules includes a flexible substrate having a first surface and a second surface, opposite to the first surface, on which a plurality of LEDs are disposed; a power cable having a socket or a plug, the power cable being disposed on the first surface; a data cable having a socket or a plug, the data cable being disposed on the first surface; a magnet disposed on the first surface; and a plurality of connectors fixed to the flexible substrate, the plurality of connectors being disposed on the first surface and including a male connector and a female connector. A height of the magnet from the first surface of the flexible substrate is higher than heights of any components disposed on the first surface.

Abstract: A light emitting diode (LED) lamp includes a tube having a transparent first section and an opaque second section. An LED disposed inside of the tube. The second section is has an inner surface having a light diffusive surface so that the LED light is diffusively reflected. The LED is disposed so that a total amount of direct light from the LED to the first section is smaller than a total amount of indirect light that is incident on the first section as a result of being reflected by the second section (i.e., scattered or diffused light). The LED is disposed so that a light axis of the LED points toward the inner surface of the second section.

Abstract: An end cap for a light-emitting-diode (LED) light tube includes an end cap housing having an end surface, an electric circuit and a switch for closing the electric circuit or opening the electric circuit. The switch includes a switch body having a pivot axis. The switch body is configured to pivotally move, with respect to the pivot axis, between an on-position for closing the electric circuit and an off-position for opening the electric circuit. When the switch is in the off-position, an end part of the switch body protrudes from the end surface of the end cap housing, and when the switch is in the on-position, the switch body and is substantially flush with respect to the end surface. When the switch is in the off-position, an outer surface of the switch body inclines with respect to the end surface of the end cap housing.

Abstract: A light emitting diode (LED) lamp includes a tube having a transparent first section and an opaque second section. An LED disposed inside of the tube. The second section is has an inner surface having a light diffusive surface so that the LED light is diffusively reflected. The LED is disposed so that a total amount of direct light from the LED to the first section is smaller than a total amount of indirect light that is incident on the first section as a result of being reflected by the second section (i.e., scattered or diffused light). The LED is disposed so that a light axis of the LED points toward the inner surface of the second section.