Abstract: A Kriging model-based optimal design method and device for a bulk acoustic resonator, and a storage medium are provided. The Kriging model-based optimal design method includes: determining a structure and a material of a resonator, establishing a corresponding MASON model, and performing one-dimensional simulation on the MASON model to obtain a simulation result; determining, based on the simulation result, a design variable for optimizing the resonator, and constructing a Kriging surrogate model; determining an optimization goal, constructing an optimization problem model based on the optimization goal and the Kriging surrogate model, and solving the optimization problem model to obtain an optimal solution; and reducing upper and lower limits of the design variable to improve optimization accuracy.

Abstract: The present invention relates to the field of genetic engineering and process engineering, and discloses an engineering strain producing cordycepin and its derivative 3?-deoxyinosine, its preparation method and application. The method includes: codon optimizing genes Cm1 and Cm2; gene amplification and fragment recovering; methanol-induced promoter and terminator fragments; and inserting the genes into an expression vector and then transferring to Pichia pastoris for screening to obtain the engineering strain of Pichia pastoris of the present invention. The engineering strain can be applied to production of cordycepin and its derivative. The engineering strain prepared by the preparation method of the present invention has great advantages in producing cordycepin and its derivative.

Abstract: A vehicle position and velocity estimation system based on camera and LIDAR data is disclosed. An embodiment includes: receiving input object data from a subsystem of a vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device, the distance measuring device comprising one or more LIDAR sensors; determining a first position of a proximate object near the vehicle from the image data; determining a second position of the proximate object from the distance data; correlating the first position and the second position by matching the first position of the proximate object detected in the image data with the second position of the same proximate object detected in the distance data; determining a three-dimensional (3D) position of the proximate object using the correlated first and second positions; and using the 3D position of the proximate object to navigate the vehicle.

Abstract: A vehicle position and velocity estimation system based on camera and LIDAR data is disclosed. An embodiment includes: receiving input object data from a subsystem of a vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device, the distance measuring device comprising one or more LIDAR sensors; determining a first position of a proximate object near the vehicle from the image data; determining a second position of the proximate object from the distance data; correlating the first position and the second position by matching the first position of the proximate object detected in the image data with the second position of the same proximate object detected in the distance data; determining a three-dimensional (3D) position of the proximate object using the correlated first and second positions; and using the 3D position of the proximate object to navigate the vehicle.

Abstract: The present disclosure provides an information processing method and apparatus, an electronic device, and a storage medium. The information processing method includes: displaying a first control in an associated page of a first recruitment item, and determining a target person and creating a first communication group in response to a trigger operation on the first control, where the first communication group is associated with a recruitment progress of the target person in the first recruitment item; and generating a first type of notification message according to a progress event and sending the same to the first communication group, in response to generating the progress event of a recruitment process for the target person in the first recruitment item, wherein the target person is a candidate of the first recruitment item. This embodiment may facilitate follow-up of the recruitment progress of the target person.

Abstract: The present disclosure relates to a device and a method for reinforcing a round section wood beam by the combination of a prestressed Fiber Reinforce Plastic (FRP) sheet and a high strength steel wire rope. The device includes an FRP sheet adhered to a bottom surface of a log beam in the length direction. A middle supporting piece is mounted in the middle of the log beam. An end part reinforcing anchoring piece is mounted at each of two ends of the log beam. FRP hoops are adhered to the log beam and are located between the middle supporting piece and each of the end part reinforcing anchoring pieces at intervals in the length direction. High strength steel wire ropes with both ends connected to the corresponding end part reinforcing anchoring pieces are respectively arranged on the two sides of the middle supporting piece.

Abstract: The disclosure provides a method for displaying a message. The method includes in response to receiving an emoji-expressive reply operation performed by a first user account on a conversation message sent by a second user account, obtaining a system message corresponding to the emoji-expressive reply operation. The system message includes a user identification of the first user account, an abbreviated message identification, and attitude information corresponding to the emoji-expressive reply operation. The method further includes displaying the system message on a chat interface of a chat conversation including the second user account.

Abstract: A method to predict a traversal-time interval for traversal of a service queue comprises receiving video of a region including the service queue, recognizing in the video, via machine vision, a plurality of persons awaiting service within the region, estimating an average crossing-time interval between successive crossings, by the plurality of persons, of a fixed boundary along the service queue, wherein such estimating is based on features of the service queue and of the one or more persons awaiting service, and returning an estimate of the traversal-time interval based on a count of the persons awaiting service and on the average crossing-time interval as estimated.

Abstract: A method for displaying state information is performed by a first terminal logged with a first user account. The method includes monitoring a service event in a target application associated with a first user account, and in response that the service event is monitored, displaying service state information corresponding to the service event in a first preset area of a first page of a first terminal.

Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed.

Abstract: The present disclosure relates to a device and a method for reinforcing a round section wood beam by the combination of a prestressed Fiber Reinforce Plastic (FRP) sheet and a high strength steel wire rope. The device includes an FRP sheet adhered to a bottom surface of a log beam in the length direction. A middle supporting piece is mounted in the middle of the log beam. An end part reinforcing anchoring piece is mounted at each of two ends of the log beam. FRP hoops are adhered to the log beam and are located between the middle supporting piece and each of the end part reinforcing anchoring pieces at intervals in the length direction. High strength steel wire ropes with both ends connected to the corresponding end part reinforcing anchoring pieces are respectively arranged on the two sides of the middle supporting piece.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps including taking point clusters that belong to vehicles in a single LiDAR frame as input, tracking each vehicle as a probabilistic distribution, assigning each tracked vehicle to a corresponding one of the point clusters, and recalculating the probabilistic distribution of each tracked vehicle.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: projecting points in a processed point cloud to a unit sphere, for each of the projected points, determining that a distance between one and each of its neighboring points is smaller than a threshold, and forming a cluster of the one and its neighboring points.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps including: calculating the probability of a cluster pair that belongs to a same vehicle using tracking information from a previous frame and spatial information from current frame, determining that the clusters of the cluster pair are merged into one by taking both spatial information and tracking information into consideration, and merging the clusters into a single, complete cluster.

Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps including: calculating the probability of a cluster pair that belongs to a same vehicle using tracking information from a previous frame and spatial information from current frame, determining that the clusters of the cluster pair are merged into one by taking both spatial information and tracking information into consideration, and merging the clusters into a single, complete cluster.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps including taking point clusters that belong to vehicles in a single LiDAR frame as input, tracking each vehicle as a probabilistic distribution, assigning each tracked vehicle to a corresponding one of the point clusters, and recalculating the probabilistic distribution of each tracked vehicle.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: projecting points in a processed point cloud to a unit sphere, for each of the projected points, determining that a distance between one and each of its neighboring points is smaller than a threshold, and forming a cluster of the one and its neighboring points.

Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed.

Abstract: A smart device assembly and a protection case for a smart device are provided. The protection case includes a rear case and a cover plate. A membrane switch is placed in the cover plate, and an outer surface of the cover plate includes a key window arranged corresponding to a key portion in the membrane switch. An extension wire of a lower circuit layer of the membrane switch is extended out from the cover plate. A spring pogo pin connector is arranged on the extension wire of the lower circuit layer of the membrane switch. A slot is formed in the smart device. A pogo pin base connected to a GPIO pin of a processor of the smart device is disposed inside a body of the smart device. A contact point of the pogo pin base is exposed in the slot.