Abstract: Systems and methods for automatic magnetic variation detection include receiving, from a magnetic variation database, first magnetic variation data associated with an airport; determining second magnetic variation data based on a published approach associated with the airport and one or more trajectory measurements as an aircraft flies along a centerline of a localizer signal of the airport; determining a difference between the first magnetic variation data and the second magnetic variation data; and if the difference satisfies a deviation threshold, updating the magnetic variation database based at least on the second magnetic variation data.

Abstract: An optical measurement system measurement system for examining a sample. The measurement system comprises an internally reflective element, a stage, an optical assembly, a chassis, and a sensor. The internally reflective element has a contact surface. The stage is positioned below the internally reflective element. The stage and the internally reflective element are configured to apply a force to the sample. The optical assembly comprises a light source and a light detector. The optical assembly is configured to scan the sample by directing source light from the light source towards the contact surface and detecting source light optically interacting with the contact surface by the light detector. The chassis is configured to support the optical assembly and the internally reflective element. The sensor is mounted to the chassis and configured to detect the force applied to the sample by the internally reflective element and the stage.

Abstract: An optical measurement system measurement system for examining a sample. The measurement system comprises an internally reflective element, a stage, an optical assembly, a chassis, and a sensor. The internally reflective element has a contact surface. The stage is positioned below the internally reflective element. The stage and the internally reflective element are configured to apply a force to the sample. The optical assembly comprises a light source and a light detector. The optical assembly is configured to scan the sample by directing source light from the light source towards the contact surface and detecting source light optically interacting with the contact surface by the light detector. The chassis is configured to support the optical assembly and the internally reflective element. The sensor is mounted to the chassis and configured to detect the force applied to the sample by the internally reflective element and the stage.

Abstract: The present application provides a cable connector and an electronic device. The cable connector includes a socket and a plug; the socket is provided with an opening and a connection part for connecting with a circuit board; the plug includes a fixing member and an elastic connection member; the elastic connection member each includes a fixing part and a first elastic contact part connected with the fixing part, the fixing part being fixedly connected with the fixing member for connecting with an inner conductor of the cable; the fixing member is capable of connecting with the socket, and enables the first elastic contact part to elastically contact a signal connection contact on the circuit board through the opening to form electrical connection.

Abstract: Method and system for classifying and labeling images, which can perform segmentation based on features of each part of images, classify and match the image and the segmented image based on a classification model built by the machine learning method. Meanwhile, each image is assigned with labels and text descriptions. The system also includes a string module assigning the image with a plurality of matching labels and text descriptions that are the most relevant in recent times. Furthermore, the classification model is trained by machine learning method such as an unsupervised learning, a self-supervised learning, or a heuristic algorithms. In addition, a character recognition module is provided to extract characters in the image for comprehensive learning and calculations to facilitate classification and labeling of the image.

Abstract: The present disclosure relates to a terminal chip and a measurement method thereof. In an example, a terminal chip includes a computing subsystem and a security subsystem. The security subsystem is configured to measure the computing subsystem. A boot time of the security subsystem is earlier than a boot time of the computing subsystem. The security subsystem includes an integrity verification unit configured to perform integrity measurement on data in a boot process of the computing subsystem.

Abstract: Disclosed are a power-loss delay circuit and a detection control circuit thereof. The power-loss delay circuit and the corresponding detection control circuit are added onto a flyback circuit, such that when a product is working normally, an energy storage capacitor C3 is charged, and when an input power supply of the product is cut off, the detection control circuit detects that an input voltage of the product drops to a set value and triggers the control circuit to drive a switch transistor Q1 to be turned on, so that the energy of an energy storage capacitor C1 is released, thereby keeping the product working continuously for a period of time. The power-loss delay circuit and the detection control circuit thereof have no effect on the normal working state of the product. When the input power is cut off, capacitance stored in an external capacitor is introduced in time to keep the product working continuously.

Abstract: An optical measurement system measurement system for examining a sample. The measurement system comprises an internally reflective element, a stage, an optical assembly, a chassis, and a sensor. The internally reflective element has a contact surface. The stage is positioned below the internally reflective element. The stage and the internally reflective element are configured to apply a force to the sample. The optical assembly comprises a light source and a light detector. The optical assembly is configured to scan the sample by directing source light from the light source towards the contact surface and detecting source light optically interacting with the contact surface by the light detector. The chassis is configured to support the optical assembly and the internally reflective element. The sensor is mounted to the chassis and configured to detect the force applied to the sample by the internally reflective element and the stage.

Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.

Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.

Abstract: Method and system for classifying and labeling images, which can perform segmentation based on features of each part of images, classify and match the image and the segmented image based on a classification model built by the machine learning method. Meanwhile, each image is assigned with labels and text descriptions. The system also includes a string module assigning the image with a plurality of matching labels and text descriptions that are the most relevant in recent times. Furthermore, the classification model is trained by machine learning method such as an unsupervised learning, a self-supervised learning, or a heuristic algorithms. In addition, a character recognition module is provided to extract characters in the image for comprehensive learning and calculations to facilitate classification and labeling of the image.

Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.

Abstract: A method performed by an air vehicle having navigational equipment includes receiving an actual navigation performance (ANP) value from a neighboring air vehicle. The method also includes displaying a representation of the air vehicle and a representation of the neighboring air vehicle on a display. The method also includes determining a combined ANP (CANP) value based on the ANP value from the neighboring air vehicle and an ANP value of the air vehicle. The method also includes comparing a position of the air vehicle to the CANP value. The method also includes responsive to the position of the air vehicle being within a distance margin away from the neighboring air vehicle based on the CANP value, performing an action to increase a distance the air vehicle is from the neighboring vehicle.

Abstract: A method for preparing a bio-based composite using palm biomass powder as raw material, which belongs to the technical field of preparation methods for bio-based composites. During palm micropowder washing, 100 parts by weight of 600-1,200 mesh palm micropowder is placed in a reactor, and 400-500 parts by weight of acetone is added to the reactor in a 1:4 or 1:5 bath ratio; during surface treatment of palm micropowder, the reaction system after solvent displacement is heated to 80-100° C., and distillate is dehydrated with a 3A molecular sieve and then refluxed to a reactor; bio-based resin is compounded and extruded. At least one embodiment of the present invention solves the problem that use of palm as a biomass raw material leads to impurity migration and insufficient product performance due to high small oily molecule content.

Abstract: A method for preparing a bio-based composite using palm biomass powder as raw material, which belongs to the technical field of preparation methods for bio-based composites. During palm micropowder washing, 100 parts by weight of 600-1,200 mesh palm micropowder is placed in a reactor, and 400-500 parts by weight of acetone is added to the reactor in a 1:4 or 1:5 bath ratio; during surface treatment of palm micropowder, the reaction system after solvent displacement is heated to 80-100° C., and distillate is dehydrated with a 3A molecular sieve and then refluxed to a reactor; bio-based resin is compounded and extruded. At least one embodiment of the present invention solves the problem that use of palm as a biomass raw material leads to impurity migration and insufficient product performance due to high small oily molecule content.

Abstract: A method performed by an air vehicle having navigational equipment includes receiving an actual navigation performance (ANP) value from a neighboring air vehicle. The method also includes displaying a representation of the air vehicle and a representation of the neighboring air vehicle on a display. The method also includes determining a combined ANP (CANP) value based on the ANP value from the neighboring air vehicle and an ANP value of the air vehicle. The method also includes comparing a position of the air vehicle to the CANP value. The method also includes responsive to the position of the air vehicle being within a distance margin away from the neighboring air vehicle based on the CANP value, performing an action to increase a distance the air vehicle is from the neighboring vehicle.

Abstract: A method of indicating whether a GPS signal received by a vehicle is accurate includes obtaining the GPS signal and calculating position information of the vehicle based on the GPS signal. The method further includes obtaining position information of another vehicle via a broadcast. The method further includes calculating a first distance information to the other vehicle based on the position information of the other vehicle and the position information of the vehicle. The method further includes obtaining a second distance information to the other vehicle via a collision avoidance system on the vehicle. The method further includes comparing the first distance information to the second distance information, and generating an indicator that the vehicle and the other vehicle may have received an inaccurate GPS signal when a result of the comparison is higher than a threshold.

Abstract: The present invention discloses an electrostatic energy storage device and a preparation method thereof. The device comprises at least one electrostatic energy storage unit, wherein each electrostatic energy storage unit is provided with a five-layer structure and comprises two metal film electrodes which form a capacitor, composite nano insulating film layers attached to the inner sides of the two metal film electrodes, and a ceramic nano crystalline film arranged between the composite nano insulating film layers. Based on the electrostatic parallel-plate induction capacitor principle, the metal film electrodes with a nano microstructure and the ceramic nano crystalline film sandwiched between the metal film electrodes and having an ultrahigh dielectric constant form an electrostatic induction plate capacitor to store electrostatic energy.

Abstract: A system using automatic dependent surveillance-broadcast (ADS-B) data and traffic alert and collision avoidance system (TCAS) data for determining navigation solutions for a vehicle is provided. The system has a communal position system (CPS) with a CPS sensor located in the vehicle. The CPS sensor receives ADS-B data and TCAS data from each of one or more proximate vehicles. The system further has a computer system coupled to the CPS. The computer system is configured to perform the steps of: checking the ADS-B data and the TCAS data for data reasonableness; performing data synchronization of the ADS-B data and the TCAS data; and computing a CPS position and a position accuracy based on the ADS-B data and the TCAS data. The navigation solutions include an alternate navigation solution, an independent navigation solution, and a complementary navigation solution.

Abstract: A method of indicating whether a GPS signal received by a vehicle is accurate includes obtaining the GPS signal and calculating position information of the vehicle based on the GPS signal. The method further includes obtaining position information of another vehicle via a broadcast. The method further includes calculating a first distance information to the other vehicle based on the position information of the other vehicle and the position information of the vehicle. The method further includes obtaining a second distance information to the other vehicle via a collision avoidance system on the vehicle. The method further includes comparing the first distance information to the second distance information, and generating an indicator that the vehicle and the other vehicle may have received an inaccurate GPS signal when a result of the comparison is higher than a threshold.