10results about How to "Improve perceived quality" patented technology

The application provides an audio processing, speech recognition and model training method, device and program product, the method relates to the field of artificial intelligence, the multi-frame speech features of audio are obtained by encoding the audio through a speech mark model, the spectrum and time characteristics of the input audio can be captured; the multi-frame speech features are converted to the frequency domain to obtain multi-frame frequency domain features, each frame of frequency domain features is decomposed into frequency domain feature components on multiple frequency bands, and the frequency domain feature components on the multiple frequency bands are quantized to generate speech marks corresponding to each frame of frequency domain features, the speech mark sequence of the audio is determined according to the speech marks corresponding to the multi-frame frequency domain features, the speech mark sequence of the audio is generated by quantizing the multiple frequency bands in the latent feature space of the speech features, the information in different frequency bands is quantized to optimize the bit rate allocation, the quantization efficiency and the perceptual quality can be improved, and the quality and efficiency of audio discretization are improved.

The application discloses a sliding door lock system and relates to the technical field of sliding door lock arrangement. The sliding door lock system comprises an outer opening assembly, an inner opening assembly and a lock body. The outer opening assembly comprises a base, an outer opening handle arranged on one side of the base, a pin shaft arranged in the base, a first torsion spring arranged on the pin shaft and an outer opening rotating arm arranged on one side of the base. The inner opening assembly comprises an inner opening bottom plate, an inner opening rotating arm arranged on one side of the inner opening bottom plate, a rotating shaft arranged in the inner opening bottom plate and an inner opening handle arranged on one side of the rotating shaft. The application has the beneficial effect of omitting the conversion link of the inner opening device and directly controlling the lock body by the inner and outer opening handles. In order to realize the function, the outer opening handle assembly is improved to connect two cables to synchronously control the unlocking functions of the two lock bodies. A newly developed inner opening handle assembly is composed of a handle, a rotating shaft, a bottom plate, a rotating arm and other components and connects two cables to control the unlocking functions of the two lock bodies.

This invention discloses a multi-agent cooperative control method for cross-domain unmanned swarms across land, sea, air, and space, comprising the following steps: S1: Constructing a decoupling model to separate the complexity of cooperative control along three dimensions: hierarchical, frequency-based, and domain-based; S2: Based on the decoupling model, designing a unified cooperative strategy, which generates personalized control objectives adapted to the dynamics and roles of agents in different dimensions according to a dynamically updated cross-domain cooperative situation map; S3: Introducing an event-triggered distributed reinforcement learning mechanism for each agent, ensuring that the agent triggers only when preset triggering conditions are met. This invention, through a hierarchical-frequency-domain triple decoupling model, separates the extreme complexity of cross-domain cooperation along three orthogonal dimensions: task level, control frequency, and physical space, and defines a standard interface to encapsulate the dynamics of heterogeneous platforms, reducing the complexity of system design and analysis.

This invention belongs to the field of high-voltage connecting aluminum busbar technology, and specifically relates to a dual-conductor, dual-insulation high-voltage connecting aluminum busbar structure for electric vehicles. It includes: two sets of flat aluminum conductors arranged parallel to each other vertically; a high-temperature resistant insulating tape wrapped around the flat aluminum conductors, allowing the two sets of flat aluminum conductors to form independent positive and negative connecting wires respectively; and an outer insulating layer wrapped around the entire outer side of the positive and negative connecting wires. The manufacturing process of the high-voltage connecting aluminum busbar structure includes the following steps: aluminum busbar extrusion, insulating tape winding, outer insulating layer extrusion, cutting, 3D bending, peeling, conductor punching, labeling, and packaging. The flattened design of this invention significantly reduces vertical space occupation, making it suitable for wiring in narrow areas such as the top and side walls of the battery pack, improving the overall vehicle space utilization. Furthermore, the production process is simplified from 17 steps to 9 steps, reducing carbon emissions and aligning with green manufacturing trends.

The invention discloses a front structure of a vehicle and the vehicle. The front structure includes a hood and a headlight, the hood being disposed over and covering the headlight. The bonnet has a front edge. The headlight includes a front wall, and the front wall has an upper edge adjacent a front edge of the bonnet. A first gap configured to face inwards in the longitudinal direction is formed between the upper edge and the front edge, and at least part of the first gap is shielded by the engine cover. Thus, even if the first gap is enlarged due to downward deviation of the headlight, a user is still not easy to see or notice the first gap, thereby improving aesthetics and quality perception of the vehicle.

This invention discloses a method, apparatus, and device for selecting User Plane Function Entities (UPFs). The method, applied to network devices, includes: receiving a User Plane Function Entity (UPF) service report sent by a Session Management Function (SMF); sending a latency measurement message to a base station via an Access and Mobility Management Function (AMF) based on the UPF service report; obtaining an N3 path latency table and a recommended UPF from the latency measurement message; and selecting a target UPF by the SMF based on enhanced UPF selection parameters. The enhanced UPF selection parameters indicate that the UPF is selected based on the transmission latency of the N3 interface. Through this method, the solution of this invention can select the UPF with the lowest transmission latency for the terminal, improving the user experience.

The application discloses a kind of vehicle-road cooperative perception method and device based on vehicle-mounted point cloud, belong to the field of automatic driving, the method includes: using each vehicle in current time slot in driving environment complexity and communication link data rate of cooperation perception, construct the optimization problem of maximum total perception quality, solve it to obtain the point cloud processing task priority and optimal configuration corresponding to each vehicle;Each vehicle uses corresponding optimal configuration to sample compression and back to roadside server, so that roadside server uses point cloud processing task priority to carry out target detection and issue to each vehicle to carry out environmental perception.The optimization problem in the application considers the problem of communication resources, processing priority and the cooperative perception accuracy of multiple vehicles and roadside server, thereby solving the technical problems of poor perception quality caused by large delay, low accuracy and limited resources of existing automatic driving vehicles.

The invention discloses a vehicle side wall assembly and a vehicle, the vehicle side wall assembly comprises a vehicle body side wall outer plate, the vehicle body side wall outer plate comprises a vehicle body side wall outer plate body and a first fin-shaped plate, and the vehicle body side wall outer plate body is provided with a first side surface and a second side surface which face oppositely and comprises a body boundary; the first fin-shaped plate extends out of the body boundary of the vehicle body side wall outer plate body; the side wall decorating part is attached to the first side surface of the vehicle body side wall outer plate body and is provided with an exceeding part extending across the boundary of the body; wherein the first fin plate extends from the body boundary to an edge of the overhang portion, the overhang portion being adapted to be attached to the first fin plate. According to the vehicle side wall assembly and the vehicle, the first fin-shaped plate is introduced to provide rigid support for the exceeding part, extending across the vehicle body side wall outer plate body, of the side wall decorating part, and therefore the perceived quality of the side wall decorating part on the vehicle is improved.

The application provides a frame-level alignment boundary adversarial attack method, system, device and equipment for a sequence recognition model and a medium, and belongs to the fields of computer vision, speech processing and adversarial machine learning. The method comprises the following steps: S1: inputting a sample into a target sequence recognition model in a test stage to obtain an initial reference alignment label sequence; S2: based on the initial reference alignment label sequence, constructing an alignment boundary margin between a reference alignment label and a competitive label; S3: based on the alignment boundary margin, generating a dynamic continuous gating weight by using a smoothing mapping, constructing a margin optimization target with gating weighting and iteratively updating to obtain a candidate adversarial sample; and S4: performing total variation (TV) smoothing under a success maintaining constraint and amplitude scaling search on the candidate adversarial sample to generate a high-fidelity adversarial sample. The application can improve the adversarial attack efficiency and success rate and can be used in sequence recognition model robustness evaluation and privacy protection, copyright protection and the like.

The invention provides a learning type image compression method based on stream matching residual reconstruction, and relates to the technical field of image processing and computer vision. The method comprises the following steps: constructing an image compression network model based on a flow matching latent variable refining module; wherein the flow matching latent variable refining module performs residual error reconstruction on quantitative latent variables by using a time continuous microfluidical field, and compensates for fine details lost in a quantization process; constructing a joint optimization objective function based on a rate distortion loss function and a stream matching loss function, and performing end-to-end training on the whole image compression network model by using an input image; and performing image compression on a to-be-compressed image by using the trained image compression network model. By adopting the method, fine details lost in the quantization process can be effectively compensated under the condition that reasoning delay is not remarkably increased, and the structural fidelity and perception quality of image reconstruction are remarkably improved.