A dual sensor is provided having a first circuit configured for autonomous operation of the sensor and a second circuit configured for non-autonomous operation of the sensor. The dual sensor can be supplied with energy from an external power supply. The first circuit and second circuit can vary in clock frequency, measurement accuracy, and power consumption.

A dual sensor is provided having a first circuit configured for autonomous operation of the sensor and a second circuit configured for non-autonomous operation of the sensor. The dual sensor can be supplied with energy from an external power supply. The first circuit and second circuit can vary in clock frequency, measurement accuracy, and power consumption.

A dual sensor is provided having a first circuit configured for autonomous operation of the sensor and a second circuit configured for non-autonomous operation of the sensor. The dual sensor can be supplied with energy from an external power supply. The first circuit and second circuit can vary in clock frequency, measurement accuracy, and power consumption.

A dual sensor is provided having a first circuit configured for autonomous operation of the sensor and a second circuit configured for non-autonomous operation of the sensor. The dual sensor can be supplied with energy from an external power supply. The first circuit and second circuit can vary in clock frequency, measurement accuracy, and power consumption.

Provided is a method and apparatus for managing sensor data by determining an appropriate sensor data collection cycle for each service in view of a weighting such as an amount of energy saved by data collection cycles, a data storage space and data processing time, and a probability of an error happening, and collecting and manage sensor data based on the sensor data collection cycle. The apparatus for managing the sensor data includes a profile management unit to manage a sensor profile defining each sensor, a sensor system and a characteristic of a service, a service management unit to manage a preinstalled service and to collect and recommend a service based on the sensor profile from the sensor system, and a data collection cycle determination unit to determine a necessary sensor data collection cycle for the service. Furthermore, the apparatus includes a sensor data management unit to collect sensor data based on the sensor data collection cycle and to manage the sensor data, and an interface to connect the sensor system and an external device.

Provided is a method and apparatus for managing sensor data by determining an appropriate sensor data collection cycle for each service in view of a weighting such as an amount of energy saved by data collection cycles, a data storage space and data processing time, and a probability of an error happening, and collecting and manage sensor data based on the sensor data collection cycle. The apparatus for managing the sensor data includes a profile management unit to manage a sensor profile defining each sensor, a sensor system and a characteristic of a service, a service management unit to manage a preinstalled service and to collect and recommend a service based on the sensor profile from the sensor system, and a data collection cycle determination unit to determine a necessary sensor data collection cycle for the service. Furthermore, the apparatus includes a sensor data management unit to collect sensor data based on the sensor data collection cycle and to manage the sensor data, and an interface to connect the sensor system and an external device.

A signal processing device includes a Kalman filter that performs Kalman filter processing based on an observation noise and a system noise and outputs a DC component of an input signal as an estimated value; and a monitoring circuit. The Kalman filter outputs an error covariance of the estimated value. The monitoring circuit performs a stop command of observation update processing in the Kalman filter, based on a result of determination processing based on the error covariance, with respect to a signal level corresponding to the input signal.

A signal processing device includes a Kalman filter that performs Kalman filter processing based on an observation noise and a system noise and outputs a DC component of an input signal as an estimated value; and a monitoring circuit. The Kalman filter outputs an error covariance of the estimated value. The monitoring circuit performs a stop command of observation update processing in the Kalman filter, based on a result of determination processing based on the error covariance, with respect to a signal level corresponding to the input signal.

A system for dispensing customized articles may include a vending machine that includes an article holding area having one or more articles that each include a film on at least a portion of the article, an energy generating print device, a processor, and a computer-readable storage medium. The computer-readable storage medium may include one or more programming instructions that, when executed, cause the processor to receive an indication of a selected article, receive a selection of one or more content items to be printed on the selected article, and cause the energy generating print device to apply energy to the portion of the selected article having the film. Applying such energy may cause a visual representation of the selected content items to be displayed on the portion of the selected article.