Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of validating models guided by machine learning algorithms. The innovation can begin by receiving a risk model for validation having multiple sets of data. A first data set is selected from as an input. Outputs are generated for validation. One output can be generating a second set of analysis results using a comparable algorithm to the risk model. Another output can be generating a second set of variables and transformations using a machine learning algorithm and an untransformed set of the selected variables to assess the set of selected transformations. Another output can be generating a third set of variables using one or more machine learning algorithms and an extended feature set of variables to assess the selected variables. The outputs are compared to the analysis results, coefficients, selected variables, and selected transformations. A report of the comparison is generated.

Abstract: A first mask and a second mask are sequentially provided to perform a multi-step exposure and development processes. Through proper overlay design of the first mask and the second mask, conductive wirings having acceptable overlay offset are formed.

Abstract: Provided is a LiDAR (100), comprising: a first transmitting unit (101) and a second transmitting unit (102), which are configured to respectively emit a first detection laser beam (L1) and a second detection laser beam (L2) to detect a target object; an optical assembly at a transmitting end and an receiving end optical assembly at a receiving end, the optical assembly at the transmitting end comprising a transmitting lens (103), and the optical assembly at the receiving end comprising a receiving lens (107); and a first receiving unit (105) and a second receiving unit (106), configured to respectively receive a first echo (L1?) and a second echo (L2?) reflected by a object of the first detection laser beam (L1) and the second detection laser beam (L2), convert them into electrical signals, wherein the first detection laser beam (L1) and the second detection laser beam (L2) are respectively emitted from the first transmitting unit (101) and a second transmitting unit (102) and then pass through different opti

Abstract: An optical assembly and a luminaire with extreme cutoff beam control optics. The optical assembly includes a base, a plurality of lenses, a plurality of light emitting diodes (LED) positioned to emit light into the lenses, and a reflector having a reflective surface disposed adjacent at least one of the plurality of LEDs. The optical axis of one or more of the LEDs may be offset from a central axis of the respective lens in which it emits light. The reflective surface of the reflector may extend from the base over the one or more of the LEDs and beyond the optical axis of the one or more LEDs to direct light in a desired direction or toward a selected area (e.g., a street) and cut off light directed in an undesirable direction or area (e.g., a house).

Abstract: Certain example embodiments provide systems, methods, apparatuses, and computer program products for determining radio frequency (RF) conditions using sensing information. A network node may construct a map of RF conditions associated with location information within its coverage area. The network node may configure a radio resource control (RRC)-connected UE to operate in an RF sensing mode. The network node may obtain a positioning of the UE from a sensing node. The network node may determine the RF conditions of the UE based on its position using the map.

Abstract: Embodiments of the present disclosure provides systems and methods for processing video content. The methods include: reconstructing a plurality of luma samples associated with a picture; and reconstructing a chroma block associated with the picture. The reconstructing of the chroma block includes: determining whether the chroma block has non-zero residues; and in response to a determination that the chroma block has one or more non-zero chroma residues, determining an averaged value of the plurality of reconstructed luma samples, and scaling residues of the chroma block based on the averaged value, prior to reconstructing the chroma block.

Abstract: A neural network training method is provided. The method includes obtaining an audio data stream, performing, for different audio data of each time frame in the audio data stream, feature extraction in each layer of a neural network, to obtain a depth feature outputted by a corresponding time frame, fusing, for a given label in labeling data, an inter-class confusion measurement index and an intra-class distance penalty value relative to the given label in a set loss function for the audio data stream through the depth feature, and updating a parameter in the neural network by using a loss function value obtained through fusion.

Abstract: The present application generally relates to wireless communication technology. More particularly, the present application relates to a method and apparatus for scheduling delay associated with HARQ processes in LTE-MTC. The present application also relates to computer program product adapted for the same purpose. According to one embodiment, a method for scheduling delay associated with HARQ processes in LTE-MTC comprises: —a) in response to presence or non-presence of PUCCH repetition, invalid BL/CE DL subframe, invalid BL/CE UL subframe, and measurement gap, determining a HARQ-ACK scheduling counting strategy; and —b) scheduling a HARQ-ACK delay value in accordance with the HARQ-ACK scheduling counting strategy.

Abstract: This disclosure relates to laser radar (LIDAR) technology. In an implementation, a receiver of a LIDAR comprises: a circuit board, a plurality of receiving units provided on the circuit board and configured to convert an optical signal into an electrical signal, a packaging sidewall protruding from the circuit board and disposed around the plurality of receiving units to form a cavity accommodating the plurality of receiving units, and a packaging layer provided on the packaging sidewall and covering the cavity.

Abstract: The present invention provides a long-term streamflow forecast method and system based on process-data synergic drive.

Abstract: Systems, apparatus and methods are provided for temperature assisted non-volatile storage device management in a non-volatile storage system. In one embodiment, a non-volatile storage system may comprise a temperature sensor, a non-volatile storage device and a processor. The processor may be configured to obtain a read-out from the temperature sensor, generate a predicted real-time on-die temperature for the non-volatile storage device based on the read-out, generate an estimated threshold voltage for reading data stored in the non-volatile storage device based on the predicted real-time on-die temperature and conduct a local sweep of a reference voltage using the estimated threshold voltage as a starting point to obtain a final read reference voltage with a minimum read bit error rate.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for training a GAMI-Tree model. An example method includes initializing an iterative prediction model and performing a required number of model training iterations. For each model training iteration, the method further includes (i) performing a required number of main-effect gradient boosting iterations of a main-effect gradient boosting routine, (ii) generating a plurality of qualified input feature pairs, and (iii) performing a required number of interaction-effect gradient boosting iterations of a interaction-effect gradient boosting routine. The method further includes generating the GAMI-Tree model based on the iterative prediction model generated by a final interaction-effect gradient boosting iteration of a final model training iteration.

Abstract: A printed circuit board system includes a plurality of printed circuit board (PCB) assemblies that includes at least three PCB assemblies and a connecting module. The connecting module is coupled to each of the PCB assemblies. The connecting module is adapted to provide electrical and signal communications between each of the PCB assemblies. The connecting module is on different planes with respect to at least one of the PCB assemblies.

Abstract: Provided in the present disclosure is a laser for use in a LiDAR, the laser comprising: a plurality of light-emitting units, each light-emitting unit comprising a plurality of light-emitting points, wherein the plurality of light-emitting units share a cathode or an anode; and each light-emitting unit is respectively provided with a wiring unit; and each wiring unit is electrically connected to an unshared anode or cathode of its corresponding light-emitting unit. The area of a laser provided with a plurality of light-emitting units does not increase, and echo light beams generated from detection light beams emitted by the plurality of light-emitting units are received by the same detector, thereby improving the vertical angular resolution and point cloud density of a LiDAR.

Abstract: A package includes an interposer having a first redistribution structure; a first die directly bonded to a first surface of the first redistribution structure with a dielectric-to-dielectric bond and a metal-to-metal bond; a second die directly bonded to the first surface of the first redistribution structure with a dielectric-to-dielectric bond and a metal-to-metal bond; an encapsulant around the first die and the second die; and a plurality of conductive connectors on a second side of the first redistribution structure opposite to the first die and the second die.

Abstract: In some examples, an electronic device comprises a camera to capture data representing an environment external to the electronic device; a sensor to determine a location of a second electronic device in the environment; and a controller coupled to the camera and the sensor. The controller is to generate a representation of the environment based on the captured data; determine a relationship between the location and the representation; and perform an action based on the relationship.

Abstract: A VVC-standard encoder and a VVC-standard decoder are provided, implementing application of DMVR on affine merge mode-coded blocks to refine the motion vector accuracy and thereby improve coding efficiency. A refined motion vector (MV) search is performed for a control point motion vector (CPMV) of an inter-coded coding block (CB), outputting a refined MV of the CB. A refined MV search includes deriving a MV of a subblock of the CB based on a CPMV of the CB, performing subblock MV refinement for the MV of the subblock, and outputting the refined MV of the CB based on a refined MV of the subblock. A refined MV search further includes deriving an affine model parameter based on a plurality of CPMVs of the CB, performing an affine parameter offset search for the affine model parameter, and outputting the refined MV of the CB based on an optimal parameter offset.

Abstract: A method, an apparatus and non-transitory computer-readable storage medium for video data process are provided. The method includes receiving a bitstream comprising a coding unit coded in a geometric partition mode (GPM); decoding a first parameter associated with the coding unit, the first parameter indicating whether template matching being applied to the coding unit; and determining, according to the first parameter, motion information for the coding unit, wherein when the first parameter indicates the template matching is applied to the coding unit, the motion information is refined using the template matching.