Abstract: In an embodiment an optoelectronic assembly includes a carrier having at least one contact region, at least one optoelectronic device arranged on the at least one contact region, a beam guiding element having a transparent material, arranged on the carrier, completely encasing the optoelectronic device and at least partially covering surface areas of the optoelectronic device, wherein the beam guiding element sheaths at least three optoelectronic devices and covers the surface areas of the optoelectronic devices, and wherein the optoelectronic devices are configured to generate light of different colors and a transparent conductive layer arranged at the beam guiding element at least in some regions on its surface, wherein the beam guiding element has a recess through which the at least one contact region is exposed on a side of the optoelectronic device facing away from the carrier, and wherein the recess is at least partially filled with a conductive material which is connected to the transparent conductive

Abstract: The invention relates to a trench wall cutting device comprising a trench cutter having at least one cutting frame unit and at least two cutting wheels arranged in the longitudinal direction of the cutting frame unit and is configured for cutting a substantially vertical cutting trench in the ground, a supporting structure for suspending the trench cutter in a cutting position and moving it in a substantially vertical cutting direction for creating the cutting trench, and a feed device for feeding the trench cutter in a feeding direction which is oriented transversely to the cutting direction.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: A method of deception detection based upon ocular information of a subject provides a video camera configured to record a close-up view of a subject's eye. A cognitive state model is configured to determine a high to a low cognitive load experienced by the subject. An emotional state model is configured to determine a high to a low state of arousal experienced by the subject. After asking a question, the ocular information is processed to identify changes in ocular signals of the subject. The cognitive state and emotional state models are evaluated based solely on the changes in ocular signals where a probability of the subject being either truthful or deceptive is estimated for a binary output.

Abstract: A method for recognizing a state of an eye for a laser device. The method includes reading in an eye parameter using the laser device, which represents a movement of the eye. The eye parameter is compared with a first and/or with a second reference parameter in order to obtain a comparison result. A type of movement of the eye is determined using the comparison result, which represents a saccadic eye movement when the eye parameter has a greater value than the first reference parameter. The type of movement represents a smooth eye movement when the eye parameter has a value which corresponds to the second reference parameter and at most to the first reference parameter. A viewing direction is ascertained as a function of the determined type of movement.

Abstract: A method for recognizing a state of an eye for a laser device. The method includes reading in an eye parameter using the laser device, which represents a movement of the eye. The eye parameter is compared with a first and/or with a second reference parameter in order to obtain a comparison result. A type of movement of the eye is determined using the comparison result, which represents a saccadic eye movement when the eye parameter has a greater value than the first reference parameter. The type of movement represents a smooth eye movement when the eye parameter has a value which corresponds to the second reference parameter and at most to the first reference parameter. A viewing direction is ascertained as a function of the determined type of movement.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: Disclosed herein are methods of disrupting cell-to-cell communication. An exemplary method comprises transmitting one or more microwave signals to a communication molecule located in an environment having a plurality of cells. The one or more microwave signals can comprise a first microwave signal and a second microwave signal. The first microwave signal can have a first frequency corresponding to frequency of a first peak in a microwave spectrum associated with rotational modes of the communication molecule. The second microwave signal can have a second frequency corresponding to a frequency of a second peak in the microwave spectrum associated with the rotational modes of the communication molecule.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data and determine driving trips based on the received data. The driving trips may be used along with the movement data to authenticate drivers based on a determined driver profile.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: The present invention provides an optical fire sensor device and a corresponding fire detection method. The optical fire sensor device is equipped with an optical particle detection unit (10), which is configured to ascertain measured values of a particle number in a measurement volume range (FA) as a function of a particle size in a predetermined particle size range and/or as a function of a particle speed in a predetermined particle speed range, a fire detection unit (20), which is configured to ascertain respective distributions of the measured values and to compare at least one parameter of the ascertained distributions to at least one predetermined criterion. The fire detection unit (20) is configured to detect a fire (B) in consideration of the comparison. An alarm unit (30, 40) is used to output an alarm signal in response to the detection of the fire (B) by the fire detection unit (20).

Abstract: Systems and methods include directing limited frequencies of microwave signals toward target molecules, driving a motion of the target molecules to impact molecular recognition. In one implementation, a microwave spectra associated with the rotational modes of a target molecule is obtained. From peaks in the spectra, a mode of molecular movement is identified and a microwave signal profile is generated for driving a motion of binding portions of the molecule associated with the identified mode. Microwave signals are generated based on the signal profile for output by antennas. For example, the microwave signals can be can be used to impede the binding of quorum sensing molecules by receptors of P. aeruginosa. In one implementation, the antennas can be placed in a catheter for placement in a patient. In another implementation, the antennas can be placed in a sleeve or other device for use adjacent to the skin of a patient.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data and determine driving trips based on the received data. The driving trips may be used along with the movement data to authenticate drivers based on a determined driver profile.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: An optical particle sensor apparatus is equipped with a housing (MD) having an optical exit region (OF); an optical emitter device (LD) in the housing that is set up to emit an optical measurement beam (OB) for capturing particles; a focusing lens device (LE) in the housing for directing the optical measurement beam through the optical exit region to outside the housing in a focus region (FA), within which particle capturing is performable; an optical detector device (DD) arranged in the housing and set up to capture the measurement beam (OB?) scattered by particles (P) and to output information produced using an algorithm relating to the presence of the particles; and a controllable adaptation device (C, E), which is set up to adapt at least one optical property of the lens device and/or of the optical emitter device and/or of the optical detector device based on an input signal (ES; ES?) that provides information relating to a presence and to optical properties of an external optical window (EF) arranged be

Abstract: A system for determining a particle contamination and a method for determining a particle contamination in a measurement environment is provided in which individual particles in the measurement environment are detected (S1), wherein a) an estimate of the number of particles per volume in the measurement environment is ascertained (S2), b) an estimate of the number of particles per volume and characterization information describing the particle source in the measurement information are taken as a basis for ascertaining an output value for the particle contamination in the measurement environment (S3), and c) context-related data are made available and the characterization information is estimated on the basis of the available context-related data (S4).