A method of tracking an animal in a population of animals is disclosed that includes applying a visual identifier to the animal, associating reference identifier data of the visual identifier to animal data of the animal, capturing a digital image of the visual identifier applied to the animal, recognizing the visual identifier by digitally processing the captured digital image, and identifying the animal upon recognition of the visual identifier.

A device may load a process under test into virtual memory associated with the device. The virtual memory may include a plurality of memory pages. The device may insert a malware inspection element and a memory tracking element into the process under test and may provide a notification of an event associated with the process under test to a memory tracking element. The device may identify, using the memory tracking element, one or more memory pages of the plurality of memory pages. The one or more memory pages may be assigned to, and used by, the process under test. The device may generate, based on identifying the one or more memory pages, a memory map, associated with the process under test, that may include information identifying the one or more memory pages as being assigned to, and used by, the process under test.

An operating unit (2) sets ventilation parameters of a control unit (11) of a ventilator (1) that includes a gas dispensing device (10) for ventilation gases. The operating unit includes a display unit and an ventilation parameters input element (23, 24). Two or more of the parameters are linked via a relation condition stored in a relation storage module (40). A relation monitor (3) includes a deviation detector (31) detecting a transgression of the relation condition during parameter setting, and outputs warning information via a warning unit (32). This avoids a need for an operator to note the sometimes complicated connections and dependencies expressed in the relations during the parameter setting. The warning may be sent before the new setting value is sent from the operating unit to the control unit. Operating safety is increased and a risk of setting errors is minimized.

In accordance with one embodiment of the present disclosure, a method includes generating a plurality of icons, wherein each icon has a target frequency unique from each other, receiving brain activity data based on an epoch, generating a reference signal based on the epoch, calculating correlation coefficients between the brain activity data and the reference signal, wherein the correlation coefficients are calculated in a window that is within ±0.5 Hz of the target frequencies, including endpoints, determining a confidence score based on the correlation coefficients and the epoch, and determining a selected icon among the plurality of icons based on the correlation coefficients in response to the confidence score surpassing a threshold confidence score.

The present invention relates to a system and method for monitoring the safety of users in a shaded area, wherein location information about an RFID post installed in a shaded area is identified by means of an RFID tag, so that the location of a work group working in the shaded area can be transmitted to a control server in real time, and the control server compares the location of the work group with operation information about trains, thereby determining whether the work group is in danger or not, makes notification the same, so that the safety of the work group can be secured.

A method includes identifying a user; obtaining a user profile matched with the identification of the user, wherein the user profile includes SIM data associated with a carrier plan; assigning the SIM data associated with the carrier plan of the obtained user profile to a data communication module to virtually replicate the SIM data of the user; and reverting carrier settings of the data communication module to original settings based on the user no longer being identifiable.

A wearable device and a system that includes the wearable device is provided. The wearable device includes at least one sensor configured to sense a characteristic of a user, a communication interface configured to obtain a first identifier of a vehicle or equipment, and a controller. The controller is configured to monitor the user based on the first identifier or send the first identifier to a monitoring system; determine whether there is a harm possibly occurring to the user of the wearable device based on at least one output from the at least one sensor, or send the at least one output to the monitoring system via the communication interface; and output, after the harm is determined to be possibly occurring, an alarm based on receiving confirmation from the user, or based on not receiving any confirmation from the user within a predetermined amount of time.

Input data, such as audio and/or video data, may be captured from a first room, for example via microphones and/or cameras within the first room. A first quantity of people within the first room may be determined based at least in part on the input data. An alert may be provided when the first quantity of people exceeds a threshold quantity of people. Additionally, locations of people within the room may also be detected based at least in part on the input data. A first proximity of a first person in the room to a second person in the room may be determined. An alert may also be provided when the first proximity is less than a threshold proximity.

A computer-implemented method for determining an operational state of an industrial plant includes acquiring alarms raised within the plant and adding them to a pool of important alarms, determining whether a physical state of the plant indicated by a first alarm causes a second alarm or meets a predetermined state-dependent condition and, if so, moving the first alarm to a pool of informative alarms; and determining the operational state of the plant and/or a corrective action for improving this operational state based on the alarms in the pool of important alarms.

A computer-implemented method for determining an operational state of an industrial plant includes acquiring alarms raised within the plant and adding them to a pool of important alarms, determining whether a physical state of the plant indicated by a first alarm causes a second alarm or meets a predetermined state-dependent condition and, if so, moving the first alarm to a pool of informative alarms; and determining the operational state of the plant and/or a corrective action for improving this operational state based on the alarms in the pool of important alarms.