Abstract: In various examples, sensor configuration for autonomous or semi-autonomous systems and applications is described. Systems and methods are disclosed that may use image feature correspondences between camera images along with an assumption that image features are locally planar to determine parameters for calibrating an image sensor with a LiDAR sensor and/or another image sensor. In some examples, an optimization problem is constructed that attempts to minimize a geometric loss function, where the geometric loss function encodes the notion that corresponding image features are views of a same point on a locally planar surface (e.g., a surfel or mesh) that is constructed from LiDAR data generated using a LiDAR sensor. In some examples, performing such processes to determine the calibration parameters may remove structure estimation from the optimization problem.

Abstract: In various examples, sensor configuration for autonomous or semi-autonomous systems and applications is described. Systems and methods are disclosed that may use image feature correspondences between camera images along with an assumption that image features are locally planar to determine parameters for calibrating an image sensor with a LiDAR sensor and/or another image sensor. In some examples, an optimization problem is constructed that attempts to minimize a geometric loss function, where the geometric loss function encodes the notion that corresponding image features are views of a same point on a locally planar surface (e.g., a surfel or mesh) that is constructed from LiDAR data generated using a LiDAR sensor. In some examples, performing such processes to determine the calibration parameters may remove structure estimation from the optimization problem.

Abstract: A piston limiting structure, including: a cylinder, a piston, and a flange provided with a limiting piece, the cylinder has a piston hole perpendicular to an axial direction of the cylinder and penetrating through the cylinder, and a projection of the piston hole in a penetrating direction is circular. The piston is disposed in the piston hole in a form-fit manner and is slid in the piston hole in a reciprocating manner. A side wall of the piston is provided with a thrust groove, a bottom surface of the thrust groove forms a thrust surface on the side wall of the piston, and the thrust groove does not penetrate through two ends of the side wall of the piston along an axial length of the piston. The limiting piece abuts against the thrust surface.

Abstract: Systems/techniques that facilitate generation of image denoising training data via photon-count splitting are provided. In various embodiments, a system can access a set of sinograms generated by a photon-counting computed tomography scanner. In various aspects, the system can split the set of sinograms into a first reduced-photon-count set of sinograms and a second reduced-photon-count set of sinograms. In various instances, the system can convert, via image reconstruction, the first reduced-photon-count set of sinograms into at least one training input image and the second reduced-photon-count set of sinograms into at least one training output image. In various cases, the system can train a deep learning neural network based on the at least one training input image and the at least one training output image.

Abstract: The present disclosure provides a pump body assembly, a heat exchange apparatus, a fluid machine and an operating method thereof. The pump body assembly includes a piston, a shaft, a piston sheath, and a cylinder. The shaft drives the piston to rotate and reciprocate within the piston sheath while rotating. The piston sheath is located in the cylinder, and a compression chamber is defined between an outer circumferential wall of the piston and an inner wall of the cylinder. A pressure relief recess is defined in the outer circumferential wall of the piston or the inner wall of the cylinder at a position corresponding to the compression chamber.

Abstract: A processing blade is assigned from the plurality of processing blades to a session of data packets. The load balancing engine manages a session table and an IPsec routing table by updating the session table with a particular security engine card assigned to the session and by updating the IPsec routing table for storing a remote IP address for a particular session. Outbound raw data packets of a particular session are parsed for matching cleartext tuple information prior to IPsec encryption, and inbound encrypted data packets of the particular session are parsed for matching cipher tuple information prior to IPsec decryption. Inbound data packets assigned to the processing blade from the session table are parsed and forwarded to the station.

Abstract: Embodiments of the present disclosure provide a progress adjustment method and apparatus, an electronic device and a storage medium. The method comprises: receiving a progress adjustment operation that acts on a progress bar of a target content; in response to the progress adjustment operation, expanding a size of the progress bar, and adjusting the progress of the target content according to the progress adjustment operation; and in response to determining that the progress adjustment operation ends, stopping adjusting, according to the progress adjustment operation, the progress of the target content.

Abstract: The present invention relates to a compound of formula (I) capable of inhibiting plasmin activity and having blood coagulation and hemostasis activity, and a pharmaceutically acceptable salt, hydrate, isomer, prodrug and mixture thereof, wherein R1 to R3 are as defined in the description.

Abstract: The photovoltaic module includes multiple cell sheets arranged in an array including multiple rows and multiple columns. Each of the multiple rows of cell sheets is arranged at intervals along a first direction, each of the multiple columns of cell sheets is arranged at intervals along a second direction. The photovoltaic module includes multiple support plates arranged at intervals, where each of the multiple support plates extends along a direction in which each of the multiple rows or multiple columns of cell sheets is arranged, and each of the multiple support plates is arranged on the second surface of each of the multiple rows or the multiple columns of cell sheets. The photovoltaic module further includes a first flexible cover layer arranged on a side of the first surface of each of the multiple cell sheets and a second flexible cover layer arranged on each of the multiple support plates.

Abstract: The photovoltaic module includes multiple cell sheets arranged in an array including multiple rows and multiple columns, where each of the multiple rows of cell sheets is arranged at intervals along a first direction, each of the multiple columns of cell sheets is arranged at intervals along a second direction, and each of the multiple cell sheets has a first surface and a second surface. The photovoltaic module further includes a first flexible cover layer located on a side of the first surface of each of the multiple cell sheets, and a second flexible cover layer located on a side of the second surface of each of the multiple cell sheets. The photovoltaic module is configured to be folded along a gap between two adjacent rows of cell sheets or along a gap between two adjacent columns of cell sheets with the folding angle of 0 degree to 180 degrees.

Abstract: Disclosed are a multidirectional input device, a game machine handle, and a game machine. The multidirectional input device includes a housing, an operation body, a pressing board, a resetting assembly, a circuit board, and a magnetic induction assembly. A space is formed in the housing, and an opening portion is formed at an upper portion of the space. The operation body includes an operation portion protruding upwards from the opening portion. The pressing board is shaped in a disc. The resetting assembly includes a spiral spring. One end of the spiral spring is configured to press a top of the pressing board onto a lower portion of the operation body, and another end of the spiral spring is configured to press a bottom of the space. The circuit board is provided in the space. The magnetic induction assembly includes a magnetic body and a magnetic sensor.

Abstract: Disclosed is a massive data-driven method for automatically locating a mine microseismic source, including: constructing a microseismic wave calibration data set by using a large-scale seismic data set containing seismic signals and non-seismic signals; constructing a pre-training calibration model based on a full convolution neural network through deep learning of a seismic wave calibration data set; using microseismic data of mine sites for transfer learning of an initial arrival time calibration model to construct an arrival time automatic calibration model suitable for mine microseismic signals; and automatically as well as accurately locating mine microseismic events based on an isokinetic homogeneous isotropic velocity model by using an optimization algorithm to deduce arrival time errors and through repeated iteration and fine-tuning.

Abstract: An image detection method and apparatus are disclosed.

Abstract: A head mounted display, a display device and an image display method thereof are provided. The display device includes a first display and a second display. The first display is configured to provide a first display image to a peripheral area of a target zone. The second display is configured to provide a second display image to a central area of the target zone. A resolution of the second display image is higher than a resolution of the first display image.

Abstract: A system is configured to retrieve a set of customer raw transaction data, wherein the transactions are devoid of any target transactions of interest. An impact neural network model is applied to the transaction data using a “notTarget” variable. The “notTarget” variable indicates that the target transaction of interest is not included in the transaction data. The model predicts a first result based on the “notTarget” variable. The model is applied to the transaction data using an “isTarget” variable. The “isTarget” variable indicates that the target transaction of interest is included in the set of customer raw transaction data. The model predicts a second result based on the “isTarget” variable. The system determines a difference between the second and first results. The difference is a predicted incremental impact on cardholder behavior. The system presents the predicted incremental impact on cardholder behavior to an issuer associated with the transaction data.

Abstract: A head mounted display, a display device and an image display method thereof are provided. The display device includes a first display and a second display. The first display is configured to provide a first display image to a peripheral area of a target zone. The second display is configured to provide a second display image to a central area of the target zone. A resolution of the second display image is higher than a resolution of the first display image.

Abstract: A system is configured to retrieve historical raw transaction data, wherein each transaction is one of a target or non-target transaction. The target transactions are related to a target transaction event. A target transaction identifier is appended to each target transaction. The raw transaction data is stored to a first data table. A first neural network is trained using the first data table to generate a training data classification model. The training data classification model is applied to the first data table. A first similarity score distribution associated with the target transactions and a second similarity score distribution associated with the non-target transactions is determined. A plurality of non-target transactions whose combined similarity score distribution matches the target transactions is selected. The target transactions and the selected plurality of non-target transactions are stored to a second data table and a second neural network is trained using the second data table.

Abstract: The present disclosure provides a method and a device for transaction clearing. The method includes receiving first clearing requests transmitted by a quantity N of terminals, where N>1; according to the first clearing requests, acquiring transaction data of the quantity N of terminals from a database; initializing a cache queue, and loading the transaction data into the cache queue; reading the transaction data in the cache queue, and performing a clearing process on the transaction data; and writing a clearing result into the database and feeding back the terminals with an execution result of the first clearing requests.