Abstract: An overhead ceiling device for vehicles, such as airplanes. The device includes a faceplate, keypad, PCB, body, light module, and an outer mounting compression ring body. The faceplate includes lens for lights and holes for buttons. Keypad includes buttons that can protrude from the holes in the faceplate. The keypad is seated over the PCB, wherein the PCB includes indicator lights and key input modules for the buttons. The PCB is seated over the flanged plate of the body. The faceplate, keypad, PCB and the body have a central hole for receiving the light module. The light module includes a reading light.

Abstract: A drag-reducing anticollision light for aircraft that includes a base that has convex-shaped left and right sides. A light housing that has suitable LEDs is mounted to the base, wherein the light housing is multistoried. A PC cover of an aerodynamic shape covers the light housing, and an upper base secures the PC cover to the base. Compared to conventional anticollision lights in aircraft, the anticollision light offers significantly less drag, thus saving fuel costs.

Abstract: A component platform lock for holding a wind turbine blade component during attachment of the wind turbine blade component to a wind turbine blade shell part, the component platform lock comprising a first and second moving pin, first and second inner cone stud and first and second collets surrounding the inner cone stud, the collets expanding based on the movement of the inner cone stud relative to the collets.

Abstract: A component platform lock for holding a wind turbine blade component during attachment of the wind turbine blade component to a wind turbine blade shell part, the component platform lock comprising a first and second moving pin, first and second inner cone stud and first and second collets surrounding the inner cone stud, the collets expanding based on the movement of the inner cone stud relative to the collets.

Abstract: A method is provided for controlling separation of solid and liquid phases in a centrifugal basket of a centrifugal. The method includes the steps of monitoring at least associated values of the rotational speed of the centrifugal basket and a purging of the liquid phase from the centrifugal basket, wherein the purging of the liquid phase from the centrifugal basket is monitored using an accelerometer, determining a safe temporal range within which temporal range a wash water can be safely applied to the content of the centrifugal basket, and applying a wash water to the content of the centrifugal basket during at least a portion of the safe temporal range. A computer program product and a centrifugal system are provided for carrying out the method.

Abstract: According to some embodiments, a system, method, and non-transitory computer readable medium are provided comprising a plurality of real-time monitoring nodes to receive streams of monitoring node signal values over time that represent a current operation of the cyber physical system; and a threat detection computer platform, coupled to the plurality of real-time monitoring nodes, to: receive the monitoring node signal values; compute an anomaly score; compare the anomaly score with an adaptive threshold; and detect that one of a particular monitoring node and a system is outside a decision boundary based on the comparison, and classify that particular monitoring node or system as anomalous. Numerous other aspects are provided.

Abstract: A method of generating a calibrated mathematical function for performing a quantitative determination of nitrogen containing units in a sample is described as well as a method of performing a quantitative determination of nitrogen containing units in a material and/or in a material sample. The function generation method includes generating a set of data of each of M reference samples. The set of data includes at least one N isotope NMR relaxation time and at least one isotope NMR relaxation time. Each set of reference data is associated to known quantity of nitrogen containing units of the respective reference sample. Also a processor having an embedded calibrated mathematical function and a system for performing a quantitative determination of nitrogen containing units is described.

Abstract: According to some embodiments, a system, method and non-transitory computer readable medium are provided comprising a memory storing processor-executable steps; and a processor to execute the processor-executable steps to cause the system to: receive a first data value of a plurality of data values from a data store, wherein the first data value is from a digital twin model of an industrial asset; determine, via a vulnerability module, whether the received at least one data value is a near boundary case or not a near boundary case; in a case it is determined the first data value is a near boundary case, generate one or more adversarial samples for the first data value; input each of the one or more adversarial samples to the digital twin model; execute the digital twin model to output a system response for each input adversarial sample; determine whether the system response to each input adversarial sample has a negative impact; in a case it is determined the system response has a negative impact for a given

Abstract: An industrial asset may have monitoring nodes that generate current monitoring node values representing a current operation of the industrial asset. An abnormality detection computer may detect when a monitoring node is currently being attacked or experiencing a fault based on a current feature vector, calculated in accordance with current monitoring node values, and a detection model that includes a decision boundary. A model updater (e.g., a continuous learning model updater) may determine an update time-frame (e.g., short-term, mid-term, long-term, etc.) associated with the system based on trigger occurrence detection (e.g., associated with a time-based trigger, a performance-based trigger, an event-based trigger, etc.). The model updater may then update the detection model in accordance with the determined update time-frame (and, in some embodiments, continuous learning).

Abstract: The present invention relates to a system and method for attaching a wind turbine blade component to a surface of a wind turbine blade shell part at a component attachment position. The system comprises a blade shell part support for supporting the blade shell part, a jig comprising a jig base and a component platform for receiving and holding the wind turbine blade component in a first position above at least a part of the blade shell part, the component platform being arranged on the jig base and being at least vertically displaceable relative to the jig base by displacement means to allow the wind turbine blade component to be lowered from the first position to the component attachment position.

Abstract: One aspect relates to a process for the preparation of a quartz glass body, including providing a silicon dioxide granulate, wherein the silicon dioxide granulate was made from pyrogenic silicon dioxide powder and the silicon dioxide granulate has a BET surface area in a range from 20 to 40 m2/g, making a glass melt out of silicon dioxide granulate in an oven and making a quartz glass body out of at least part of the glass melt. The oven has at least a first and a further chamber connected to one another via a passage. The temperature in the first chamber is lower than the temperature in the further chambers. On aspect relates to a quartz glass body which is obtainable by this process. One aspect relates to a light guide, an illuminant and a formed body, which are each obtainable by further processing of the quartz glass body.

Abstract: Some embodiments provide a system and method comprising a memory and a processor to cause the system to: receive a first and second data distribution for a first and second variable, respectively; determine a first and second data optimum number of bins for the first and second data distribution, respectively; create a first and second model for the first and second data distribution using the first and second data optimum number of bins, respectively; apply the first model to the second data distribution to calculate a smallest descriptive size of the second data distribution given the first model; apply the second model to the first data distribution to calculate a smallest descriptive size of the first data distribution given the second model; and determine a causal direction between the first variable and the second variable based on the application of the first and second model. Numerous other aspects are provided.

Abstract: According to some embodiments, a system, method and non-transitory computer readable medium are provided comprising a memory storing processor-executable steps; and a processor to execute the processor-executable steps to cause the system to: receive a first data value of a plurality of data values from a data store, wherein the first data value is from a digital twin model of an industrial asset; determine, via a vulnerability module, whether the received at least one data value is a near boundary case or not a near boundary case; in a case it is determined the first data value is a near boundary case, generate one or more adversarial samples for the first data value; input each of the one or more adversarial samples to the digital twin model; execute the digital twin model to output a system response for each input adversarial sample; determine whether the system response to each input adversarial sample has a negative impact; in a case it is determined the system response has a negative impact for a given

Abstract: An industrial asset may have monitoring nodes that generate current monitoring node values representing a current operation of the industrial asset. An abnormality detection computer may detect when a monitoring node is currently being attacked or experiencing a fault based on a current feature vector, calculated in accordance with current monitoring node values, and a detection model that includes a decision boundary. A model updater (e.g., a continuous learning model updater) may determine an update time-frame (e.g., short-term, mid-term, long-term, etc.) associated with the system based on trigger occurrence detection (e.g., associated with a time-based trigger, a performance-based trigger, an event-based trigger, etc.). The model updater may then update the detection model in accordance with the determined update time-frame (and, in some embodiments, continuous learning).

Abstract: One aspect relates to a process for the preparation of a quartz glass body including, providing a silicon dioxide granulate obtainable from a silicon dioxide powder, wherein the silicon dioxide granulate has a larger particle size than the silicon dioxide powder, making a 5 glass melt out of silicon dioxide granulate and making a quartz glass body out of at least part of the glass melt. The melting crucible has at least one inlet and at least one outlet. A least part of the glass melt is removed via the melting crucible outlet. One aspect further relates to a quartz glass body which is obtainable by this process. One aspect further relates to a light guide, an illuminant and a formed body, which are each obtainable by further processing 10 of the quartz glass body.

Abstract: According to some embodiments, a system, method, and non-transitory computer readable medium are provided comprising a plurality of real-time monitoring nodes to receive streams of monitoring node signal values over time that represent a current operation of the cyber physical system; and a threat detection computer platform, coupled to the plurality of real-time monitoring nodes, to: receive the monitoring node signal values; compute an anomaly score; compare the anomaly score with an adaptive threshold; and detect that one of a particular monitoring node and a system is outside a decision boundary based on the comparison, and classify that particular monitoring node or system as anomalous. Numerous other aspects are provided.