A radio sensor module having a sensor base module having at least one sensor circuit board that has a sensor, and/or having a terminal for connection to a sensor external to the radio sensor module; a process terminal and/or an extended sensor terminal; a housing portion that accommodates the sensor base module and the sensor circuit board; and a radio sensor unit having a structural carrier that carries therein a radio circuit board and an energy store that supplies the radio circuit board with electrical energy. The energy store has an electrical battery and an electrical condenser which are electrically connected in parallel. A modular system is also provided for forming such a radio sensor module.

An image processing device disclosed in the present specification includes a display control unit configured to display, on a display unit, an image obtained by visualizing functional information related to optical characteristics of a subject based on a photoacoustic signal obtained by receiving a photoacoustic wave generated in the subject by irradiating the subject with light, and a correction unit configured to correct the functional information of the image displayed on the display unit based on a first image value of the functional information of the image displayed on the display unit and a second image value of the functional information.

A system and method for reducing laser communication terminal pointing uncertainty. The method trains an artificial neural network (ANN) with input data characterizing terminal pointing error and dependent parameters. The method inputs the trained ANN a set of data of these dependent parameters with unknown pointing error. The method uses the ANN output to apply corrections to the terminal pointing solution to reduce pointing uncertainty. The method can condition the ANN generated corrections to avoid cases where application of the ANN correction could exceed the original pointing uncertainty. This conditioning includes computing the Euclidean distance between current ANN input parameter values and values in the ANN training dataset, and bounding the allowed magnitude of the ANN pointing correction. The method can train the ANN incrementally during terminal operation for real-time updates or train the ANN offline with gathered data and implement the trained ANN on the terminal for subsequent links.

A system and method for reducing laser communication terminal pointing uncertainty. The method trains an artificial neural network (ANN) with input data characterizing terminal pointing error and dependent parameters. The method inputs the trained ANN a set of data of these dependent parameters with unknown pointing error. The method uses the ANN output to apply corrections to the terminal pointing solution to reduce pointing uncertainty. The method can condition the ANN generated corrections to avoid cases where application of the ANN correction could exceed the original pointing uncertainty. This conditioning includes computing the Euclidean distance between current ANN input parameter values and values in the ANN training dataset, and bounding the allowed magnitude of the ANN pointing correction. The method can train the ANN incrementally during terminal operation for real-time updates or train the ANN offline with gathered data and implement the trained ANN on the terminal for subsequent links.

The invention relates to a method for automatically displaying measurement values, having the method steps of transmitting a number of measurement value groups detected by a sensor system, wherein each measurement value group has n variables; ascertaining an optical value range for the display of the n-th variables; transforming the values of the n-th variables of the measurement value groups into optical values from the optical value range; displaying variables 1 to n−1 of the measurement value groups in a coordinate system with n−1 dimensions; and displaying the points of the measurement value groups in the optical values assigned to the n-th variables of the measurement value groups.

The present disclosure describes methods and apparatus for remote sensing with data analytics. The methods and apparatus have many applications including monitoring the quality of grain during storage and/or transport. The present disclosure describes a way to collect temperature and other environmental data to describe and predict quality of stored grains, current and future, based on a myriad factors including fumigation, external temperature and humidity, in storage grain temperature and humidity.

The present disclosure describes methods and apparatus for remote sensing with data analytics. The methods and apparatus have many applications including monitoring the quality of grain during storage and/or transport. The present disclosure describes a way to collect temperature and other environmental data to describe and predict quality of stored grains, current and future, based on a myriad factors including fumigation, external temperature and humidity, in storage grain temperature and humidity.

Various techniques are disclosed for encoding and communicating detection results. In one example, a device includes a detector configured to capture measurement data in response to an external source. The device further includes one or more processors. The detection device further includes one or more memories including instructions stored therein, which when executed by the one or more processors, cause the one or more processors to perform operations. The operations include analyzing the measurement data to generate detection results. The operations further include generating a quick response (QR) code encoding at least a portion the detection results. The operations further include providing the QR code for access by an external device. Additional devices and related methods are also provided.

Various techniques are disclosed for encoding and communicating detection results. In one example, a device includes a detector configured to capture measurement data in response to an external source. The device further includes one or more processors. The detection device further includes one or more memories including instructions stored therein, which when executed by the one or more processors, cause the one or more processors to perform operations. The operations include analyzing the measurement data to generate detection results. The operations further include generating a quick response (QR) code encoding at least a portion the detection results. The operations further include providing the QR code for access by an external device. Additional devices and related methods are also provided.

A system for digitizing gauges, lights and other human-readable machine gauges and functions and status without interfering with the operation of the machine or requiring reworking or interfering with the existing machine wiring, signaling, electrical or mechanical elements or operating modes, or adding new digitizing equipment to the machine.