Abstract: The present disclosure discloses a data receiving apparatus and a data receiving method having blind deconvolution mechanism. A descrambling circuit descrambles received data according to an antenna assumption and N data position assumptions within a transmission period to generate N groups of soft-bit data. A soft-bit processing circuit retrieves bit position data to determine non-variable bit positions and variable bit positions. N circular buffers of a storage circuit store and superimpose the N groups of soft-bit data corresponding to N data position assumptions in a circular manner to generate N groups of superimposed results and keep the data corresponding to the non-variable bit positions. A post-processing circuit performs de-interleaving and decoding on the N groups of superimposed results to generate N groups of decoded results to perform redundancy check thereon. When one decoded results passes the redundancy check, the soft-bit processing circuit stops performing the blind deconvolution process.

Abstract: An LED tube lamp includes a first and second members and a connection member. Each of the first and second members includes lighting part and an end part. Each lighting part includes LED light strip. The connection member includes electrical connection portions and joining portions for the first and second members. The connection member connects the first member with the second member by the joining portions and the electrical connection portions and makes the first member substantially coaxial to the second member.

Abstract: A system and method for maximizing bandwidth in an uplink for a 5G communication system is disclosed. Multiple end devices generate image streams. A gateway is coupled to the end devices. The gateway includes a gateway monitor agent collecting utilization rate data of the gateway and an image inspector collecting inspection data from the received image streams. An edge server is coupled to the gateway. The edge server includes an edge server monitor agent collecting utilization rate data of the edge server. An analytics manager is coupled to the gateway and the edge server. The analytics manager is configured to determine an allocation strategy based on the collected utilization rate data from the gateway and the edge server.

Abstract: A wind power prediction method and system for optimizing a deep Transformer network by whale optimization algorithm are disclosed. The sequence data of wind power and related influence factors are taken as sample data which is divided into a training set and a test set, where the data is trained and predicted by a Transformer network model established according to values of the initialized hyper-parameters, and an average absolute error of wind power prediction is taken as a fitness value of each whale group. A local optimal position is determined according to the initial fitness value of individual whale group, and the current optimal position is updated by utilizing whale group optimization, and the best prediction effect is obtained by comparing the local optimal solution with the global optimal solution. An optimal hyper-parameter combination is obtained after multiple iterations of the whale optimization algorithm, and the wind power is predicted.

Abstract: A processing method that is performed by one or more processor is provided. The processing method includes determining a target video frame in a currently captured video; determining an object area in the target video frame based on a box selection model; determining a category of a target object in the object area based on a classification model used to classify an object in the object area; obtaining augmented reality scene information associated with the category of the target object; and performing augmented reality processing on the object area in the target video frame and the augmented reality scene information, to obtain the augmented reality scene.

Abstract: A card edge connector includes: an insulating housing defining a card slot opening forwards through a front face thereof; plural terminals retained in the insulating housing and including contacting portions extending into the card slot and soldering portions exposed upon a bottom face of the housing; and a metal shell at least partially covering the insulating housing, wherein the metal shell including a flat plate and a pair of side plates bending downwards from the flat plate, and the flat plate is at least partially embedded in the insulating housing and located proximate to a top face.

Abstract: A circuit health state prediction method and system based on an integrated deep neural network are provided and relates to a technique for predicting a power electronic circuit failure. The invention serves to identify and diagnose a health state of a simulation circuit based on historical data by using an integrated deep neural network, and the method includes: carrying out parameter aging simulation experiments for different devices; extracting a series of time domain features of output signals through a temporal transformation method, and establishing health indices of the devices based on an improved angular similarity; predicting a health state of the simulation circuit in degeneration by using CAE and LSTM-RNN; and predicting validity of the circuit health state prediction method by referring to relevant evaluation indices. The invention is capable of effectively predicting the health state of the simulation circuit and is highly accurate and easy to implement.

Abstract: The present application provides bicyclic amines of Formula (I): and their pharmaceutically acceptable salts thereof, that are inhibitors of cyclin-dependent kinase 2 (CDK2), as well as pharmaceutical compositions thereof, and methods of treating cancer using the same.

Abstract: A processing method that is performed by one or more processor is provided. The processing method includes determining a target video frame in a currently captured video; determining an object area in the target video frame based on a box selection model; determining a category of a target object in the object area based on a classification model used to classify an object in the object area; obtaining augmented reality scene information associated with the category of the target object; and performing augmented reality processing on the object area in the target video frame and the augmented reality scene information, to obtain the augmented reality scene.

Abstract: A processing method that is performed by one or more processor is provided. The processing method includes determining a target video frame in a currently captured video; determining an object area in the target video frame based on a box selection model; determining a category of a target object in the object area based on a classification model used to classify an object in the object area; obtaining augmented reality scene information associated with the category of the target object; and performing augmented reality processing on the object area in the target video frame and the augmented reality scene information, to obtain the augmented reality scene.

Abstract: An image sensing device is provided. The image sensing device includes a substrate, a plurality of photosensitive elements, a dielectric layer, a reflector, a color filter, and a microlens structure. The substrate has a first pixel and a second pixel adjacent to the first pixel, and the substrate has a front side and a back side opposite the front side. The photosensitive elements are disposed in the substrate. The dielectric layer is disposed on the back side of the substrate. The reflection is disposed on the front side of the substrate and has a parabolic surface. The color filter layer is disposed on the dielectric layer. The microlens structure is disposed on the color filter layer.

Abstract: An array substrate and a manufacturing method thereof, wherein the array substrate includes a substrate; an active layer disposed on the substrate; a gate insulating layer disposed on the active layer; a gate disposed on the gate insulating layer; and a protection region dispose between the active layer and the gate, wherein the protection region is disposed on two sides of the gate and disposed on a same layer as the gate insulating layer.

Abstract: A wind power prediction method and system for optimizing a deep Transformer network by whale optimization algorithm are disclosed. The sequence data of wind power and related influence factors are taken as sample data which is divided into a training set and a test set, where the data is trained and predicted by a Transformer network model established according to values of the initialized hyper-parameters, and an average absolute error of wind power prediction is taken as a fitness value of each whale group. A local optimal position is determined according to the initial fitness value of individual whale group, and the current optimal position is updated by utilizing whale group optimization, and the best prediction effect is obtained by comparing the local optimal solution with the global optimal solution. An optimal hyper-parameter combination is obtained after multiple iterations of the whale optimization algorithm, and the wind power is predicted.

Abstract: A display unit, a display unit manufacturing method, and an organic light emitting diode display device are provided. The display unit includes: a substrate; a thin film transistor layer disposed above the substrate; an anode metal layer disposed above the thin film transistor layer; a pixel definition layer disposed above the anode metal layer; a light emitting structure disposed above the pixel definition layer. The pixel definition layer includes a first lamination layer and a second lamination layer disposed above the first lamination layer. Desiccants are distributed evenly in the second lamination layer.

Abstract: A method and a system of identifying and estimating a complex analog circuit failure, belonging to the field of power electronic circuit failure prediction. The method includes the following steps: building a degradation simulation model of an analog circuit to be diagnosed, performing a parameter aging simulation experiment on different devices; extracting a time domain feature of each of output signals by using a time-series transformation method, building a health index of each of the devices based on angle similarity; identifying whether the analog circuit to be diagnosed is degraded and a starting point of degradation by combining a time moving window and a convolutional neural network; multiplexing part of hidden layers of the convolutional neural network and a long short term memory-recurrent neural network to estimate a health state of a degraded analog circuit; and evaluating prediction accuracy.

Abstract: A circuit health state prediction method and system based on an integrated deep neural network are provided and relates to a technique for predicting a power electronic circuit failure. The invention serves to identify and diagnose a health state of a simulation circuit based on historical data by using an integrated deep neural network, and the method includes: carrying out parameter aging simulation experiments for different devices; extracting a series of time domain features of output signals through a temporal transformation method, and establishing health indices of the devices based on an improved angular similarity; predicting a health state of the simulation circuit in degeneration by using CAE and LSTM-RNN; and predicting validity of the circuit health state prediction method by referring to relevant evaluation indices. The invention is capable of effectively predicting the health state of the simulation circuit and is highly accurate and easy to implement.

Abstract: A display unit, a display unit manufacturing method, and an organic light emitting diode display device are provided. The display unit includes: a substrate; a thin film transistor layer disposed above the substrate; an anode metal layer disposed above the thin film transistor layer; a pixel definition layer disposed above the anode metal layer; a light emitting structure disposed above the pixel definition layer. The pixel definition layer includes a first lamination layer and a second lamination layer disposed above the first lamination layer. Desiccants are distributed evenly in the second lamination layer.

Abstract: An image sensing device is provided. The image sensing device includes a substrate, a plurality of photosensitive elements, a dielectric layer, a reflector, a color filter, and a microlens structure. The substrate has a first pixel and a second pixel adjacent to the first pixel, and the substrate has a front side and a back side opposite the front side. The photosensitive elements are disposed in the substrate. The dielectric layer is disposed on the back side of the substrate. The reflection is disposed on the front side of the substrate and has a parabolic surface. The color filter layer is disposed on the dielectric layer. The microlens structure is disposed on the color filter layer.

Abstract: The present disclosure provides a display panel, a display device, and a display method thereof. The display panel includes a display area including: a light-emitting sub-area and an external light-transmitting sub-area; the display panel further includes: an anode, a light-emitting layer, a cathode, and a cover layer. The cover layer covers at least the light-emitting sub-area, and by patterning the covering layer, the normal electrical performance of each layer is ensured, and the transparent display effect of the display panel and the display device is improved.

Abstract: A method for treatment of a liver disease, the method including administering kinsenoside to a patient in need thereof.