Abstract: A system and a method of black start for a combined operation of wind power, photovoltaic power, energy storage, and thermal power includes a renewable energy alternating current microgrid module, a power transmission and distribution module, and a thermal power generation module, the power transmission and distribution module is coupled to the renewable energy alternating current microgrid module and the thermal power generation module respectively. The renewable energy alternating current microgrid module includes a photovoltaic unit, a wind power unit, and an energy storage unit. The power transmission and distribution module is configured to transmit the electrical energy generated by the renewable energy alternating current microgrid module to the thermal power generation module. The thermal power generation module is configured to start an auxiliary equipment using the electrical energy transmitted by the power transmission and distribution module.

Abstract: The invention provides a dental implant system with a surface gradient microporous structure and a preparation method thereof. The dental implant system includes a non-threaded micro-cone cylindrical dental implant and an abutment, wherein the dental implant includes a microporous layer with a bionic bone trabecular structure and a base with extremely high density and mechanical strength. The dental implant system of the invention has both the precision of the internal structure and the bionic characteristics of the surface structure, which effectively improves the long-term stability after implantation, reduces the complexity of the processing process of the dental implant system, and can realize personalized and batch production.

Abstract: Predicting failures in a storage system that includes a plurality of storage devices, including: gathering information describing a plurality of blocks within the storage devices; developing, using the information describing the plurality of blocks within the storage devices and information describing known dead block conditions, a block lifespan model; and determining, in dependence upon the information describing the plurality of blocks within the storage devices and the block lifespan model, a predicted lifespan for the plurality of blocks within the storage devices.

Abstract: A point cloud encoding and decoding method and a point cloud decoder are provided in the disclosure. The point cloud encoding includes the following. Geometry information and attribute information of points in a point cloud are obtained. Prediction values of the attribute information of the points in the point cloud are determined according to the geometry information of the points in the point cloud. Residual values of the attribute information of the points in the point cloud are determined according to the prediction values of the attribute information of the points in the point cloud. The residual values of the attribute information of the points in the point cloud are processed with a first encoding process, where lossless encoding is performed on a residual value of attribute information of at least one point in the point cloud in the first encoding process.

Abstract: The system for frequency modulation based on Direct Current (DC) controllable load for a high-voltage plant includes a frequency modulator and a DC-controllable load for the high-voltage plant connected to the frequency modulator. The frequency modulator includes a centralized rectifier configured to adjust power of loads in the DC-controllable load in response to a frequency modulation command. The DC-controllable load is configured to respond to an adjustment of the power of loads performed by the centralized rectifier.

Abstract: Compositions and methods for enhancing antigen-specific immunity in a subject are provided. Pharmaceutical compositions including an effective amount of an immuno-stimulatory cardiolipin as an adjuvant in combination with an antigen and methods of use thereof for stimulating protective immunity to the antigen in a subject are provided. Administration of the combination of the antigen and cardiolipin adjuvant is effective to enhance antigen-specific immunity in a subject to a greater degree than administering to the subject the same amount of the antigen alone. The active agents can be administered together or separately. In preferred forms the cardiolipin is cardiolipin species (C18:2)4. In preferred forms the antigen is formulated as a vaccine, such as an influenza vaccine. A preferred amount by weight of each reagent is about 10-40% cardiolipin to about 90-60% antigen(s), inclusive.

Abstract: A point cloud decoding method, a point cloud encoding method, and a decoder are provided in implementation of the disclosure. The decoding method includes the following. A bitstream of a point cloud is parsed to obtain an initial reconstructed value of attribute information of a target point in the point cloud. The initial reconstructed value is converted into an initial luma value and an initial chroma value. A final chroma value is obtained by filtering the initial chroma value with a Kalman filtering algorithm. A final reconstructed value of the attribute information of the target point is obtained based on the final chroma value and the initial luma value. A decoded point cloud is obtained according to the final reconstructed value of the attribute information of the target point.

Abstract: Provided are a point cloud encoding method and decoding method, and an encoder and a decoder. The encoding method comprises: processing attribute information of a target point in a point cloud, so as to obtain a predicted residual of the attribute information of the target point; quantizing the predicted residual on the basis of a quantized weight of the target point and a quantized stride of the target point, so as to obtain a quantized residual of the attribute information of the target point, wherein the quantized weight of the target point is the weight used when weighting the quantized stride of the target point; and encoding the quantized residual, so as to obtain a code stream.

Abstract: This document describes target curvature estimation considering vehicle dynamics constraints. Some vehicle dynamics models use several kinematic states to predict the paths of targets identified by an object-tracking system. Rather than rely on predetermined industry measurements as the kinematic inputs to a model, an example system instead estimates some of these states using near real-time data output from a tracking filter. This can include estimating position and velocity states, as well as curvature and centripetal acceleration states. The example system is particularly suited at accurately predicting the curvature and centripetal acceleration states, which greatly improves the accuracy of the object-tracking system, and further improves safety in avoiding a target collision.

Abstract: This document describes techniques, systems, and methods for multi-scan sensor fusion for object tracking. A sensor-fusion system can obtain radar tracks and vision tracks generated for an environment of a vehicle. The sensor-fusion system maintains sets of hypotheses for associations between the vision tracks and the radar tracks based on multiple scans of radar data and vision data. The set of hypotheses include mass values for the associations. The sensor-fusion system determines a probability value for each hypothesis. Based on the probability value, matches between radar tracks and vision tracks are determined. The sensor-fusion system then outputs the matches to a semi-autonomous or autonomous driving system to control operation of the vehicle. In this way, the described techniques, systems, and methods can provide high-precision object tracking with quantifiable uncertainty.

Abstract: Disclosed in embodiments of the present application are a point cloud encoding method, a point cloud decoding method, an encoder, a decoder, and a computer storage medium. The point cloud encoding method comprises: an encoder determining n target neighbouring points of a current point; determining a target prediction mode from k prediction modes on the basis of geometric information of the n target neighbouring points; determining a prediction value of attribute information of the current point according to the target prediction mode and attribute information of the n target neighbouring points; and encoding the current point according to the prediction value.

Abstract: The present disclosure provides a point cloud encoding method and system, a point cloud decoding method and system, a point cloud encoder, and a point cloud decoder. A prediction mode of attribute information of a current point is determined through geometric information of a point in a point cloud, so that a determination process of the prediction mode is decoupled from a reconstruction process of the attribute information of the point in the point cloud, the two processes can be performed in parallel, and thus the efficiency of encoding and decoding is improved.

Abstract: Methods and systems are described that enable radar detection prioritization based on downstream feedback. As a vehicle is traveling in a travel corridor, radar detections are received by a processor and feedback related to a downstream function is received from another processor that is executing the downstream function. For the radar detections that are determined to be within the travel corridor, respective priorities are assigned based on locations of the radar detections and the feedback related to the downstream function. The radar detections with the assigned priorities are then stored in a detection buffer along with indications of their respective assigned priorities. In this way, the detection buffer may be optimized for the downstream function by filtering out certain detections and prioritizing others. Consequently, computational loads on the downstream function are reduced while ensuring that important detections are received by the downstream function early.

Abstract: A semiconductor wafer includes semiconductor dies and laser grooves formed in the scribe lines along the long edges of the semiconductor dies. A laser groove extends between the long edges of two adjacent semiconductor dies to encompass the corners of the two adjacent semiconductor dies. This prevents die cracking, for example during backgrind of the wafer. Moreover, the absence of laser grooves along the short edges of the semiconductor dies prevents die cracking, for example along short edges of dies overhanging empty space that are stressed during portions of the packaging process.

Abstract: An HFET includes a first and second semiconductor material. A first composite passivation layer includes a first insulation layer and a first passivation layer, and the first passivation layer is disposed between the first insulation layer and the second semiconductor material. The HFET includes a second passivation layer, where the first insulation layer is disposed between the first passivation layer and the second passivation layer. A gate dielectric is disposed between the second semiconductor material and the first passivation layer. A source electrode and a drain electrode are coupled to the second semiconductor material, and a gate electrode is disposed laterally between the source electrode and the drain electrode. A first gate field plate is disposed between the first passivation layer and the second passivation layer and electrically connected to the gate electrode, and a second gate field plate is disposed above first gate field plate.

Abstract: The invention provides a dental implant system with a surface gradient microporous structure and a preparation method thereof. The dental implant system includes a non-threaded micro-cone cylindrical dental implant and an abutment, wherein the dental implant includes a microporous layer with a bionic bone trabecular structure and a base with extremely high density and mechanical strength. The dental implant system of the invention has both the precision of the internal structure and the bionic characteristics of the surface structure, which effectively improves the long-term stability after implantation, reduces the complexity of the processing process of the dental implant system, and can realize personalized and batch production.

Abstract: A point cloud decoding method comprises: parsing a bitstream of a point cloud to obtain reconstructed information of position information of a target point in the point cloud; obtaining predicted values of attribute information of the target point according to the reconstruction information of the position information of the target point; parsing the bitstream to obtain residual values of the attribute information of the target point; obtaining initial reconstructed values of the attribute information of the target point according to the predicted values and the residual values of the attribute information of the target point; filtering the initial reconstructed values of the attribute information of the target point by using a Kalman filtering algorithm, to obtain final reconstructed values of the attribute information of the target point; and obtaining a decoded point cloud according to the final reconstructed values of the attribute information of the target point.

Abstract: A point cloud encoding method comprises: processing position information of a target point in a point cloud to obtain reconstruction information of the position information of the target point; obtaining an initial predicted value of attribute information of the target point according to the reconstruction information of the position information of the target point; filtering the initial predicted value of the attribute information of the target point using a Kalman filter algorithm to obtain a final predicted value of the attribute information of the target point; processing the attribute information of the target point in the point cloud to obtain a real value of the attribute information of the target point; obtaining a residual value of the attribute information of the target point according to the final predicted value and the real value of the attribute information of the target point; and encoding the residual value of the attribute information of the target point to obtain a bitstream.

Abstract: A point cloud coding method, including: partitioning a point cloud, and determining a current coding block; determining a quantization parameter optimization enable identifier, a hierarchical level index, and a quantization parameter offset parameter of the current coding block; determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization step Qstep corresponding to a level of detail; and upon detecting that the quantization parameter optimization enable identifier is a first value, performing operations for one or more points included in the current coding block.

Abstract: A point cloud encoding method, including: obtaining attribute information about the attributes of a current point in a point cloud; processing the attribute information of the current point to obtain a residual value of the attribute information of the current point; using a target quantization manner, quantizing the residual value of the attribute information of the current point to obtain a quantized residual value of the attribute information of the current point; the target quantization manner comprises at least two of the following quantization manners: a first quantization manner, a second quantization manner, and a third quantization manner.