Abstract: Example implementations relate to an implantable device that can accommodate a vessel of a living body and can detect light transmitted across the vessel. The implantable device transmits a wireless transmitter signal corresponding to the intensity of the detected light. The intensity of the detected light correlates to patency of the vessel.

Abstract: Examples of 3D-printed sensing devices for detecting vascular conditions in an animal body are described. A 3D-printed sensing device may comprise a binding layer to attach the 3D-printed sensing device to a part of the animal body. A sensor layer is extruded atop the binding layer. The sensor layer comprises a piezoresistive transducer to generate an electrical signal based on a pulse detected in the part of the animal body. In an example, the electrical signal is a binary signal having a logical high value at an instant of occurrence of the pulse and is agnostic of a strength of the pulse. An amplification module in the sensor layer may amplify the electrical signal and provide the amplified signal to a transmitter unit of the 3D-printed sensing device to transmit the amplified signal to a monitoring device associated with the 3D-printed sensing device.

Abstract: One example implementation includes an extractor controller to control extraction of blood from a user; a detection fluid manager to mix the blood and a detection fluid to form magnetized test particles, the detection fluid comprising dye coated magnetic particles; a particle flow controller to remove magnetized test particles from the mixed blood and detection fluid; and an allergen detector to detect exposure to an allergen based on a color of the test particles.

Abstract: Example implementations relate to a traffic management system. For example, the traffic management system may receive data from a plurality of connected vehicles. The traffic management system may determine the relative positions of non-connected vehicle to the connected vehicles and may cluster connected vehicles and non-connected vehicles into a flock. The traffic management system may determine a flock traffic pattern and a nature of the flock traffic pattern, based on data received from the connected vehicles.

Abstract: In example implementations, an apparatus is provided. The apparatus includes an interface, an inheritance engine, an anomaly detection module and a processor. The interface communicates with a sensor array. The inheritance engine is used to create a model of the sensor array based on information collected from the each one of a plurality of nodes in the sensor array over the interface. The anomaly detection engine is used to monitor the sensor array in accordance with the model to detect an anomaly and initiate a corrective action to correct the anomaly in two or more of the plurality of nodes within the sensor array simultaneously. The processor is in communication with the inheritance engine and the anomaly detection engine is used to execute instructions associated with the inheritance engine and the anomaly detection engine.

Abstract: Seismic based fracking fluid disposal can in an example embodiment include selecting a first disposal site of a plurality of disposal sites to receive fracking fluid from a fracking site; measuring, via a seismic sensor, seismic waves associated with the first disposal site; and assigning at least some of the fracking fluid from the first disposal site to a second disposal site of the plurality of disposal sites based on the measured seismic waves.

Abstract: Example implementations relate to collecting data to generate specifications for an orthosis. In example implementations, data may be collected from a plurality of pressure sensors. Histograms may be generated that characterize collected data. Specifications for an orthosis may be generated based on the histograms.

Abstract: Example implementations relate to activating an alarm if a living being is present in an enclosed space having an ambient temperature outside a safe temperature range. In example implementations, it may be determined whether a living being has been present in an enclosed space, and an ambient temperature of the enclosed space has been outside a safe temperature range, for a threshold amount of time. An alarm may be activated if the living being has been present in the enclosed space, and the ambient temperature of the enclosed space has been outside the safe temperature range, for the threshold amount of time.

Abstract: Examples associated with data validation are disclosed. One example includes a sensor attribute data store having information describing attributes of a set of distributed sensors. A pattern data store stores information describing patterns indicating anomalous sensor activity. A data aggregation module flags data received from a tested sensor as anomalous data when the anomalous data exceeds a variance level described by an attribute of the tested sensor. A data validation module validates the anomalous data by comparing the anomalous data to the patterns indicating anomalous sensor activity. A learning module updates the pattern indicating anomalous sensor activity based on a result received from the validation logic after the validation logic validates data received from the tested sensor.

Abstract: Example implementations relate to receiving vibration notifications from vibration sensors. In example implementations, a subset of a plurality of vibration sensors from which vibration notifications are expected may be identified based on a position of a train along a track. The plurality of vibration sensors may be arranged in a predetermined order on the track. Whether vibration notifications have not been received from consecutive, with respect to the predetermined order, vibration sensors in the subset may be determined.

Abstract: An example radio frequency identification card monitor is disclosed herein. An example radio frequency identification card monitor includes an example detector to identify radio frequency identification cards, a card tracker to track the radio frequency identification card with a proximity of the apparatus, and an interface to provide alerts when the radio frequency identification cards are not within the proximity.

Abstract: Example implementations relate to activating an alarm if a living being is present in an enclosed space having an ambient temperature outside a safe temperature range. In example implementations, it may be determined whether a living being has been present in an enclosed space, and an ambient temperature of the enclosed space has been outside a safe temperature range, for a threshold amount of time. An alarm may be activated if the living being has been present in the enclosed space, and the ambient temperature of the enclosed space has been outside the safe temperature range, for the threshold amount of time.

Abstract: One example implementation includes an extractor controller to control extraction of blood from a user; a detection fluid manager to mix the blood and a detection fluid to form magnetized test particles, the detection fluid comprising dye coated magnetic particles; a particle flow controller to remove magnetized test particles from the mixed blood and detection fluid; and an allergen detector to detect exposure to an allergen based on a color of the test particles.

Abstract: An example radio frequency identification capsule is disclosed herein. An example radio frequency identification capsule includes a substrate layer; a radio frequency identification layer on the substrate layer, the radio frequency identification layer including a radio frequency identification tag formed from nanoparticle ink; and a protective layer surrounding the radio frequency identification layer.

Abstract: Example implementations relate to a fiber-shaped device for transmitting a distress signal to a remote computer. The fiber-shaped device includes a sensor, an analysis module that determines if a sensor signal from the sensor includes a trigger signal, and a wireless communication module to transmit a distress signal to a remote computer when the sensor signal includes the trigger signal.

Abstract: In example implementations, an apparatus is provided. The apparatus includes an interface, an inheritance engine, an anomaly detection module and a processor. The interface communicates with a sensor array. The inheritance engine is used to create a model of the sensor array based on information collected from the each one of a plurality of nodes in the sensor array over the interface. The anomaly detection engine is used to monitor the sensor array in accordance with the model to detect an anomaly and initiate a corrective action to correct the anomaly in two or more of the plurality of nodes within the sensor array simultaneously. The processor is in communication with the inheritance engine and the anomaly detection engine is used to execute instructions associated with the inheritance engine and the anomaly detection engine.

Abstract: Example implementations relate to a traffic management system. For example, the traffic management system may receive data from a plurality of connected vehicles. The traffic management system may determine the relative positions of non-connected vehicles to the connected vehicles and may cluster connected vehicles and non-connected vehicles into a flock. The traffic management system may determine a flock traffic pattern and a nature of the flock traffic pattern, based on data received from the connected vehicles.

Abstract: Examples associated with data validation are disclosed. One example includes a sensor attribute data store having information describing attributes of a set of distributed sensors. A pattern data store stores information describing patterns indicating anomalous sensor activity. A data aggregation module flags data received from a tested sensor as anomalous data when the anomalous data exceeds a variance level described by an attribute of the tested sensor. A data validation module validates the anomalous data by comparing the anomalous data to the patterns indicating anomalous sensor activity. A learning module updates the pattern indicating anomalous sensor activity based on a result received from the validation logic after the validation logic validates data received from the tested sensor.

Abstract: Examples disclosed herein relate, among other things, to a non-transitory machine-readable storage medium encoded with instructions executable by a processor of a computing device to cause the computing device to obtain data from a plurality of sensors of at least a first type and a second type. The instructions may also cause the computing device to determine, for each sensor of the second type, whether the data obtained from the sensor of the second type is reliable based at least on the data obtained from a sensor of the first type that is associated with the sensor of the second type.

Abstract: Example implementations relate to activating an alarm if a living being is present in an enclosed space having an ambient temperature outside a safe temperature range. In example implementations, it may be determined whether a living being has been present in an enclosed space, and an ambient temperature of the enclosed space has been outside a safe temperature range, for a threshold amount of time. An alarm may be activated if the living being has been present in the enclosed space, and the ambient temperature of the enclosed space has been outside the safe temperature range, for the threshold amount of time.