Abstract: A positive active material has a chemical formula of Li1+a[NixCoyMnzM1bM2c]O2, where, 0.05<a<0.5, ??x<1, 0?y<?, 0?z<?, 0<b<0.1, 0<c<0.1, x+y+z+b+c=1, M1 is one or more elements from Mo, Zr, W, Sb, Nb, Te or Ga, and M2 is one or more elements from Mg, Al, Ca or Ti. The positive active material includes a lithium-rich layer extending from particle surface to interior of the particle, and in a cross section passing through the geometric center of a single particle of the positive active material, a ratio of an average Li element content per unit area in the lithium-rich layer to an average Li element content per unit area in a non-lithium-rich layer is (>1 to 1.5):1.

Abstract: The present application provides a positive electrode material comprising a substrate particle of formula (I): Li1+a[NixCoyMnzMbWc]O2??(I) wherein the M is selected from one or more of Mo, Zr, Al, Ti, Sb, Nb, Te, Mg, Ca, Zn and Sr, 0.6<x<1, 0<y<0.4, 0<z<0.4, 0<a<0.2, 0<b<0.1, 0<c<0.1, and x+y+z+b+c=1; and the W is enriched at the grain boundary of the substrate particle.

Abstract: A positive electrode material, a preparation method of same, a positive electrode plate, a secondary battery, and an electrical device are described. The positive electrode material includes a ternary positive electrode substrate and optionally a coating layer. The coating layer coats a surface of the ternary positive electrode substrate. The ternary positive electrode substrate includes Li, Ni, Al, and an M element. The M element includes a combination of one or more of Mn, Co, Ti, Zr, W, Nb, Mo, Si, Mg, B, Cr, or Ta. A volume-based particle size distribution curve of the positive electrode material is a bimodal curve.

Abstract: A tracking system and associated algorithms are disclosed that can provide a user with a continuous, reset-free augmented reality (AR) experience. When the user wears an AR headset equipped with a camera and an inertial measurement unit (IMU), motion sensor data from the IMU can be combined with image data from the camera to create a device pose, representing a position and an orientation of the headset relative to its environment. In some implementations, when a reset occurs, a six-degrees-of-freedom (6DoF) algorithm can be configured to support the pose until a re-initialization is completed. In some implementations, a neural network can be used to correct for IMU integration drifts in the 6DoF algorithm. In some implementations, the IMU-based 6DoF uses a neural network that exploits the device's past motion to infer its future motion.

Abstract: A method including during a calibration operation, establishing communication with a test fixture, via a communication channel between the test fixture and a head mounted device (HMD), during the calibration operation, obtaining inertial measurement unit (IMU) data based on output from an IMU in the HMD generated based on movement of the HMD caused by a text fixture to which the HMD is coupled, during the calibration operation, generating IMU calibration data for the HMD based on the IMU data, during the calibration operation, store the IMU calibration data in the HMD, and after the calibration operation is completed (or in response to completing the calibration operation), implement at least one technical measure to prevent subsequent modification of the IMU calibration data.

Abstract: In the age of generative AI, it is more important than ever to booster human writing skills so that human writers stay in the driver seat of their own story-telling. This disclosure aims to reduce creative friction in the writing process and enable everyday writers to create works of authorship with ease and delight by a computerized method and system with suitable and specific data-structuring and presentation of user's input contents, encouraging users to input fragmented information utilizing fragmented time without losing coherence, and write in a non-traditional and non-linear way.

Abstract: Techniques of providing continual augmented reality navigation include combining first and second 6DoF poses from, respectively, a localization from a map in a vicinity of a location to an image and from predicted 6DoF poses based on IMU data. The first 6DoF pose is based on a visual positioning system that uses map data from a vicinity of a location combined with an image from the world-facing camera of the AR smartglasses that provides 6DoF pose in world coordinates independent of the IMU. The second 6DoF pose is based on compensated rotational velocity and acceleration measurements derived from IMU intrinsic values.

Abstract: Techniques of providing continual augmented reality navigation include combining first and second 6DoF poses from, respectively, a localization from a map in a vicinity of a location to an image and from predicted 6DoF poses based on IMU data. The first 6DoF pose is based on a visual positioning system that uses map data from a vicinity of a location combined with an image from the world-facing camera of the AR smartglasses that provides 6DoF pose in world coordinates independent of the IMU. The second 6DoF pose is based on compensated rotational velocity and acceleration measurements derived from IMU intrinsic values.

Abstract: A method for determining a transformation between frames of reference for two inertial measurement units (IMUs) is disclosed. The transformation includes biases associated with the measurements of each of the IMUs and the extrinsic details can include relative differences in the position and orientation of the IMUs. The IMUs may be mechanically coupled to a frame so that their movements are related. The IMUs can be coupled to a pair of displays in a head-mounted device (e.g., smart glasses) so that a display spacing between for a pair of stereoscopic displays can be accurately determined and adjusted to match the eyes of the user.

Abstract: Techniques of providing continual augmented reality navigation include combining first and second 6DoF poses from, respectively, a localization from a map in a vicinity of a location to an image and from predicted 6DoF poses based on IMU data.

Abstract: The application relates to a stability-control method and system for grid-connected system of double-fed wind farm, which belongs to the technical field of wind power generation system. The method comprises: collecting operation state parameters of each unit in the system; according to the operation state parameters of each unit, determining a mutual voltage between the units, an interlocking phase angle between the units, and a sub-synchronous current of each unit; according to the mutual voltage between the units, the interlocking phase angle between the units and the sub-synchronous current component of each unit, determining an energy coefficient of each unit, and then obtaining a total energy coefficient; according to the total energy coefficient, regulating the operation state parameters of each unit.

Abstract: A tracking system and associated algorithms are disclosed that can provide a user with a continuous, reset-free augmented reality (AR) experience. When the user wears an AR headset equipped with a camera and an inertial measurement unit (IMU), motion sensor data from the IMU can be combined with image data from the camera to create a device pose, representing a position and an orientation of the headset relative to its environment. In some implementations, when a reset occurs, a six-degrees-of-freedom (6DoF) algorithm can be configured to support the pose until a re-initialization is completed. In some implementations, a neural network can be used to correct for IMU integration drifts in the 6DoF algorithm. In some implementations, the IMU-based 6DoF uses a neural network that exploits the device's past motion to infer its future motion.

Abstract: A computerized optimization method, system, and computer readable storage medium for performing pattern searching includes (a) providing an initial mesh of vectors; (b) providing initial points to be used as a base vector establishing a center region of the mesh of vectors; (c) for each base vector, obtaining a transformed mesh via an isometric transformation of the initial mesh of vectors; (d) evaluating the model objective function via each transformed mesh of vectors; (e) selecting a next set of base vectors by selecting a most favorable set of transformed mesh vectors to correspond with the objective function; (f) repeating steps (c) through (e) in an iterative sequence until a termination criterion of the iterative sequence is met; and (g) storing the selected most favorable transformed mesh vectors in a memory.

Abstract: A method for generating one or more push notifications to a user device is described. The method comprises: obtaining history data representing a history of online activities of a user and candidate data representing a set of candidate information; generating, based on the history data and the candidate data, user profile vectors representing a user profile associated with the user and content vectors representing a set of content profiles associated with the set of candidate information; generating, based on a machine learning model trained with a history of online activities, embedding user feature vectors and embedding content feature vectors based on the history data and the candidate data; and providing for transmission information for one or more push notifications including first candidate information of to a user device associated with the user, the first candidate information being determined from the set of candidate information based on the aforementioned vectors.

Abstract: A method for generating one or more push notifications to a user device is described. The method comprises: obtaining history data representing a history of online activities of a user and candidate data representing a set of candidate information; generating, based on the history data and the candidate data, user profile vectors representing a user profile associated with the user and content vectors representing a set of content profiles associated with the set of candidate information; generating, based on a machine learning model trained with a history of online activities, embedding user feature vectors and embedding content feature vectors based on the history data and the candidate data; and providing for transmission information for one or more push notifications including first candidate information of to a user device associated with the user, the first candidate information being determined from the set of candidate information based on the aforementioned vectors.

Abstract: A true north heading is determined by using gyroscopes of differing accuracy and orienting a gyroscope of a higher accuracy to a direction that is more sensitive to azimuth change (e.g., an east/west direction). A gyroscope with a lower accuracy is placed perpendicular to the gyroscope with a higher accuracy and can be oriented towards a north or south direction. The gyroscopes may be placed on a rotatable platform to properly orient the gyroscopes. The higher-accuracy gyroscope may be implemented by using multiple gyroscopes oriented in the same direction.

Abstract: A navigation system repeatedly determines a GNSS heading for the vehicle based on GNSS data received from the GNSS receiver, and repeatedly determines an inertial heading for the vehicle based on data received from an inertial measurement unit. The navigation system repeatedly sets the inertial heading to a verified GNSS heading and then provides the set inertial heading as input to a recursive feedback algorithm. The recursive feedback algorithm receives additional inputs indicating the vehicle's angular displacement or acceleration and outputs an updated inertial heading. The navigation system compares the subsequently determined GNSS headings with the updated inertial heading. If the two headings are different, the navigation system sets the GNSS heading to the updated inertial or 180 degree reverse of the GNSS heading.

Abstract: Systems and methods for detecting a vehicle static condition are provided. In this regard, a representative system includes a sensor operative to detect at least one of acceleration and angular rate of a vehicle. The sensor is further operative to generate a vehicle vibration profile based on the at least one of the detected acceleration and angular rate of the vehicle. The system further includes a computing device operative to receive the vehicle vibration profile from the sensor, the computing device being further operative to determine whether the vehicle is stationary or moving based on the vehicle vibration profile.

Abstract: Systems and methods for detecting a vehicle static condition are provided. In this regard, a representative system includes a sensor operative to detect at least one of acceleration and angular rate of a vehicle. The sensor is further operative to generate a vehicle vibration profile based on the at least one of the detected acceleration and angular rate of the vehicle. The system further includes a computing device operative to receive the vehicle vibration profile from the sensor, the computing device being further operative to determine whether the vehicle is stationary or moving based on the vehicle vibration profile.

Abstract: A shuttle message that is passed between GPS enabled devices that is processed at either a bit level or word level with data that the GPS enable device has already gathered and augmenting the positioning data stored at GPS enabled devices by retrieving data contained in the shuttle message. The shuttle message is then passed with any updated information from a GPS enabled device to one or more other devices such as a mobile station.