Abstract: A system and method for protecting metal and concrete structures from bacteria-induced corrosion, wherein the method includes creating a viscoelastic, self-healing wrapping material configured to encapsulate a metal structure or a concrete structure by combining a thermoplastic blend, at least one filler, at least one paraffinic oil, and at least one biocide formulated to be effective against aerobic and anaerobic bacteria, wherein the anaerobic bacteria includes sulfate-reducing bacteria; wrapping an exterior surface of a metal structure or a concrete structure with the viscoelastic, self-healing wrapping material; and placing the wrapped metal structure or concrete structure in an operational environment, wherein the viscoelastic, self-healing wrapping material is operative to prevent or greatly reduce corrosion of the metal structure or concrete structure caused by aerobic and anaerobic bacteria occurring or located in the operational environment.

Abstract: A method for fusion of classification results of a plurality of classification models to classify environment objects using ultrasonic sensor devices in a mobile device. The method includes: detecting sensor signals of ultrasonic transducers of the ultrasonic sensor devices; tracking a position of detected environment objects by the ultrasonic sensor devices and classifying an object type of the detected environment objects by one of classification models associated with each of the ultrasonic sensor devices to obtain a classification result; in the event that it is determined that a specific environment object has entered a detection region of one of the ultrasonic sensor devices and was previously located in a detection region of a further of the ultrasonic sensor devices, selecting one of the classification results for the specific environment object depending on a classification quality based on the classification model and depending on the newness of the classification result.

Abstract: Disclosed are various embodiments for identifying fault injection impact zones. A test for an application can be received from a test service. An application schema can then be created that represents the systems or services that are involved in the execution of the application. Applications with a similar application schema are then identified using a first machine-learning model. A subset of the plurality of applications that have experienced a similar test are then identified with a second machine-learning model. Log files associated with each of the subset of applications are then analyzed to identify errors that occurred during the similar test. Each of the identified errors are then provided to the test service in response to receipt of the test.

Abstract: Open-cell foam having a structure of interconnected struts formed of polymeric material and defining open cells, resulting from polymerization of a continuous phase of a high internal phase water-in-oil emulsion, the struts comprising the polymeric material with clay nanoparticles at least partially captured therewithin, is disclosed. The clay nanoparticles may be present in combination with a surface modifier. Methods for making the open-cell foam are also disclosed. Absorbent articles including the open cell foam are also disclosed.

Abstract: According to an object tracking method, a first state of an object is estimated by at least one computing unit based on a predefined movement model for the object to be tracked, where the first state includes a first direction of movement of a point to be tracked. An environmental sensor system generates environmental sensor data representing the object to be tracked and a geometric orientation of the object to be tracked is determined on the basis thereof by the computing unit. The point to be tracked is shifted by the computing unit depending on a first deviation of the geometric orientation from the first direction of movement, and a second state of the object to be tracked is determined by the computing unit depending on the first state and the shifted point.

Abstract: Open-cell foam having a structure of interconnected struts formed of polymeric material and defining open cells, resulting from polymerization of a continuous phase of a high internal phase water-in-oil emulsion, the struts comprising the polymeric material with clay nanoparticles at least partially captured therewithin, is disclosed. The clay nanoparticles may be present in combination with a surface modifier. Methods for making the open-cell foam are also disclosed. Absorbent articles including the open cell foam are also disclosed.

Abstract: A method for generating at least one cryptographic key includes taking a plurality of images with an image sensor, in particular, a CMOS image sensor, capturing pixels of the image sensor in at least one section or area of the image sensor which have a predefined error depending on the images taken and determining at least one cryptographic key depending on the captured pixels, that have the error, wherein the predefined error corresponds to a random telegraph noise error.

Abstract: A method for authenticating an object comprises receiving image data of an image camera of a device comprising the object, recording a barcode, in particular, a two-dimensional barcode, such as a QR code, in the image data with a third-party public key as well as storing the image data with the barcode. The method also comprises generating a digital signature with the device's own private key depending on the image data as well as providing the image data and the digital signature.

Abstract: An additive for use with concrete mixtures, comprising a colorant, wherein the colorant further comprises a pigment having a predetermined color, and wherein the inorganic pigment is suspended in a solution that comprises a predetermined percent by weight of water; a predetermined percent by weight of dispersant; and a predetermined percent by weight of defoamer; and a concrete densification agent into which the colorant is mixed, wherein the concrete densification agent further comprises a predetermined percent by weight of water; a predetermined percent by weight of a densifier; a predetermined percent by weight of a water repellant; a predetermined percent by weight of a defoamer; a predetermined percent by weight of urea; a predetermined percent by weight of a freeze-thaw stabilizer; and a predetermined percent by weight of a thickener.

Abstract: A method for providing training datasets for training an object classification model for object classification in an ultrasonic sensor system is disclosed.

Abstract: A dart catching device for catching darts that fail to adhere to a dartboard includes a tray, which is mountable to a vertical surface upon which a dartboard is positioned. The tray is mounted below the dartboard and extends substantially perpendicularly from the vertical surface. The tray can catch a dart that is thrown at the dartboard, but which fails to adhere to the dartboard. The device can prevent damage to the dart that might occur should the dart drop to a horizontal surface beneath the dartboard.

Abstract: A High Internal Phase Emulsion (HIPE) foam having cellulose nanoparticles.

Abstract: A High Internal Phase Emulsion (HIPE) foam having cellulose nanoparticles.

Abstract: A system with a detector array, a processor unit and a signal interface. The detector array includes a plurality of bolometric measuring cells and a base body. Each measuring cell is configured to detect infrared radiation and to transmit a measurement signal, which is representative of the readings of the measuring cells, to the processor unit. The processor unit is configured to determine a body heat stored by the base body, to determine a predictive value compensated according to the time delay of the respective measuring cell for each current reading, to determine a temperature value corrected according to the measurement error for each current predictive value, and to determine a thermal image based on the current temperature values, allowing an image signal representing the thermal image to be sent from the signal interface. A corresponding method is also provided.

Abstract: A damper of a heating, ventilation, and/or air conditioning (HVAC) system includes a crank configured to rotate about an axis of a shaft relative to a support, a reset arm configured to rotate about the axis of the shaft relative to the support, a spring coupled to the crank and the reset arm, and a fuse link configured to be coupled to the reset arm and the support in a set configuration and to release the reset arm from the support in response to a temperature exceeding a threshold temperature. The crank and the reset arm are configured to rotate away from the support in a first circumferential direction toward a closed configuration in response to the fuse link releasing the reset arm from the support. A spring force of the spring is configured to increase to enable the reset arm to rotate in a second circumferential direction opposite to the first circumferential direction beyond the set configuration and into a reset configuration.

Abstract: A method for operating an ultrasonic sensor system having an ultrasonic sensor device for determining an object property of an environment object, in which classification models for determining classification results which specify a modeled object property of the environment object are provided for a plurality of detection situations of the environment object, each classification model trained for evaluation with a different subset of signal characteristics extracted from ultrasonic reception signals to provide a classification result of the corresponding classification model and an associated quality specification, includes: detecting the ultrasonic reception signals; determining the quantity of signal characteristics from the ultrasonic reception signals; determining classification results and associated quality specifications by evaluating the classification models with the corresponding subset of the quantity of the signal characteristics on the basis of the detection situation; and determining the object

Abstract: A pipe-wrapping material or compound, comprising a thermoplastic blend, wherein the thermoplastic blend includes at least one isobutylene-isoprene copolymer; at least one multi-arm polymer based on ethylene/propylene; at least one ethylene copolymer; and at least one polybutene polymer; at least one filler; at least paraffinic oil; and at least one biocide, wherein the at least one biocide is formulated to be effective against anaerobic bacteria, and wherein the anaerobic bacteria include sulfate-reducing bacteria.

Abstract: Damped door closer systems, door assemblies including the damped door closer systems, and methods of operating damped door closer systems. The damped door closer systems include a closer assembly and damping assembly connected to each other through a connecting arm.

Abstract: A method and system is disclosed for creating a machine learning model that is reconfigurable. A fixed parameter model is created to include fixed feature values obtained during a training process for the machine learning model. The fixed parameter model may include a fixed base classifier used by the machine learning model to classify objects detected by an ultra-sonic system within a vicinity of a vehicle. A configurable parameter model may be created to include feature values that are different from the fixed feature values, the configurable parameter model including a modified base classifier. A vehicle controller may receive and update the fixed parameter model with the configurable parameter model. The machine learning model may be updated to use the configurable parameter model to classify the objects detected by the ultra-sonic system.

Abstract: A method and system is disclosed for tuning a machine learning classifier. An object class requirement may be provided and include rank thresholds. The object class requirements may also include a range goal that defines a minimum distance from the object the machine learning algorithm should not provide false positive results. A base classifier may be trained using a weighted loss function that includes one or more weight values that are computed using the one or more object class requirements. An output of the weighted loss function may be evaluated using an objective function which may be established using the one or more object class requirements. The one or more weights may also be re-tuned using the weighted loss function if the output of the weighted loss function does not converge within a predetermined loss threshold.