12 results about "Bandwidth constraint" patented technology

The invention discloses a four-rotor aircraft data driving control method breaking through bandwidth constraint under hostile attack. The method specifically comprises the following steps: establishing a kinetic model of a four-rotor aircraft; converting the obtained kinetic model into an equivalent dynamic linearization equation by using a dynamic linearization method; designing a criterion function, and designing a data driving control method of the four-rotor aircraft; an event triggering mechanism is introduced, denial of service attack is considered, and then the final four-rotor aircraft safety event triggering data driving control method is obtained through arrangement of the obtained control method. According to the method, model-free adaptive control is applied to attitude control of the four-rotor aircraft, the advantages of PID are combined, malicious denial of service attacks are considered, an event triggering mechanism is introduced, the good flight quality of the aircraft is guaranteed, system bandwidth resources can be saved, and the working time of the aircraft is prolonged.

This invention discloses a satellite image compression method under extremely low bandwidth conditions. The steps are as follows: collect a static image dataset; establish a variable bitrate image encoding / decoding network; train the encoding / decoding network; embed a generative adversarial network (GAN) at the decoder and retrain it; embed a super-resolution network after the encoder / decoder and retrain it; the user selects a region of interest (ROI), and the selected region is compressed; the decoder restores the bitstream to an image and displays it; the unselected regions are compressed; when bandwidth is sufficient, the unselected regions are transmitted, and the decoder stitches the images together; super-resolution processing is performed. This image transmission method, under extremely low bandwidth constraints, provides a superior subjective reconstruction effect compared to traditional image coding methods such as JPEG and deep learning-based image coding methods in a large number of test images.

The invention relates to the technical field of video transmission, in particular to a video secure transmission method, device and system in a low-bandwidth scene, and aims to improve the video secure transmission efficiency by defining the influence weight of a historical frame image on a current frame image and combining the characteristic that each motion area is in a continuous high ROI state in the historical frame image. Determining a code rate increasing factor of each motion area of the current frame image; constructing the weight of each motion area of the current frame image in a smooth matrix by using the code rate increasing factor and the space center position of each motion area, constructing the smooth matrix in combination with a Gaussian kernel function, and performing smooth processing on the code rate increasing factor, thereby effectively inhibiting the visual discontinuity phenomenon between the frame images; determining a code rate relative weight of each motion region of the current frame image by jumping maximization of the visual quality of the key region and minimization of the quality between the regions into a target design target function; and in combination with the real-time network bandwidth and the dynamic scaling code rate allocation result, the optimal balance of quality and smoothness is realized under the bandwidth constraint.

This invention discloses a power communication routing optimization method considering fault risk. The method establishes a primary and backup routing model for the communication system; correlates the importance of load control services in the power system with the information flow, proposing a communication link importance evaluation index; then, combined with a conditional risk measurement model, it proposes a power communication routing optimization method; it treats communication service losses in each fault scenario as risk values, aiming to minimize the losses of important services across all fault scenarios, and considers constraints such as node constraints, bandwidth constraints, and routing constraints to solve for the primary and backup routing paths of the power communication network. This invention flexibly formulates communication routing paths based on changes in the fault area, and the route selection can proactively avoid fault risk areas, effectively reducing load losses during fault processes; it can be used to formulate power communication routing schemes, improving the resilience of power communication systems in responding to faults.

The invention relates to a time-sensitive network routing and scheduling method based on a conflict graph, and belongs to the technical field of industrial automation communication. The method comprises the following steps: firstly, reading network topology, node processing delay, traffic period, traffic frame length, source node and destination node information, and carrying out initialization representation on the TSN network topology; then, according to the configuration information of the data flow and the network topology, generating candidate paths meeting delay, bandwidth and load balancing constraints; then, establishing a conflict graph by taking the configuration of routing and phase and the color as vertexes and taking the space-time conflict of any frame in a period on any shared link as an edge; and solving the maximum independent polychromatic set in the conflict graph, namely, distributing proper transmission starting time for each flow in the network. According to the method, the scheduling constraint is mapped into the conflict graph, and the independent set solving algorithm is combined, so that a rapid and low-memory-occupation scheduling scheme is generated, the link utilization rate and the system adaptability are improved, and meanwhile, strict delay and bandwidth constraints are met.

The application discloses a limited time privacy protection consistency method under an event triggering mechanism, based on the event triggering mechanism, effective event triggering conditions are derived, and limited time theory is introduced to guarantee the convergence performance of multi-agent consistency, meanwhile, an output mapping function is introduced to ensure that the state of each agent in the multi-agent system is unknown to the outside world, that is, the real state information of the agent cannot be acquired by adjacent agents and external intruders, and limited time privacy protection consistency convergence is realized. The method of the application combines the event triggering mechanism and the limited time theory, improves the convergence performance of multi-agent privacy protection consistency control, and reduces the resource consumption of algorithm calculation, comprehensively considers communication security, bandwidth constraints and performance indexes, further expands the application scene of the algorithm, and to some extent, completes the comprehensive consideration of privacy protection, system performance and execution efficiency and the like.

This application provides an artificial intelligence-based elevator fault detection method and system. The method determines the search range for the number of vibration signal decomposition layers based on the differences in the vibration physical characteristics between various mechanical components during elevator operation and the sudden load changes during elevator operation. It determines the candidate range of bandwidth constraints for each mechanical component's vibration with the goal of minimizing the aliasing of vibration physical characteristics between the components. Modal decomposition is performed by traversing different parameter combinations within the search range and the candidate range. Feature components containing fault information of each mechanical component are selected from the decomposition results. All feature components are input into a trained artificial intelligence classification model to determine the fault type of the elevator traction system. Using the solution of this application, the vibration characteristics of each mechanical component of the elevator can be extracted completely and independently under conditions of vibration coupling and sudden load changes.

The invention discloses an emergency rescue method based on Beidou communication and conduction integrated fusion. The method comprises the steps that S1, an airborne terminal obtains motion state data and environment data in the parachuting process of a pilot; s2, compressing the collected data, and sending the compressed data to a rescue command center through a Beidou short message channel; and S3, the rescue command center decompresses the compressed data, combines the motion state data and the environment data, and uses a prediction model to calculate the landing point of the pilot. According to the method, the relative wind speed vector measured by the airborne sensor is acquired in real time, and high-frequency attitude matrix transformation is combined, so that the problem of lateral deviation caused by a high-altitude complex wind field is effectively solved, the prediction precision of the landing drop point is remarkably improved, and the problem of huge deviation of the calculated drop point caused by wind speed interference is solved. Through relative differential compression and a self-adaptive LSB quantization mechanism, it is ensured that high-dynamic trajectory details of more than 10 Hz can still be completely restored under extremely low bandwidth limitation.

Systems and methods are disclosed for utilizing frequency multiplier (FX) based transmitters to generate wideband, substantially distortion-free signals, when a transmitter operates under bandwidth constraints. A receiver is configured to acquire the feedback signal at the multiplier output. The systems and methods alleviate the bandwidth constraints of the receiver. Additionally, the invention includes a training methodology for estimating predistortion coefficients configured to operate under constrained transmitter and receiver bandwidth conditions.

This invention discloses a method and system for joint optimization of video quality and latency under bandwidth-constrained conditions, relating to the fields of video processing and communication technology. The method operates in a closed-loop, discrete time slot manner. It generates link state data through network metric collection and latency decomposition, and obtains optimal coding parameters under a multi-objective cost function that integrates perceived quality, end-to-end latency, region of interest (ROI) task relevance, and stability penalties. These parameters are then solidified into a versioned pre-decision parameter set, achieving cross-stage timing alignment. Based on the importance of the ROI and the latency budget, the system performs differentiated redundancy configuration and bandwidth-latency dual-threshold scheduling. It combines receiver-side experience quality and link state feedback, and utilizes machine learning to predict link anomalies and dynamically correct parameters. This achieves collaborative optimization of video quality and latency in weak network environments, improving system robustness and transmission stability.

In a first example, a processing system may transmit one or more reception parameters for a video call, where the one or more reception parameters include a first depth parameter defining a first depth of video content that the processing system is to display. The processing system may then receive the video content in accordance with the first depth parameter and present the video content in accordance with the first depth parameter. In a second example, a processing system may detect a bandwidth constraint for a transmission of video content for a video call, select a first depth parameter based upon the bandwidth constraint, and transmit a video stream comprising the video content in accordance with the first depth parameter.

The invention relates to an Internet of Vehicles cooperative sensing method based on space confidence map driving, and the method comprises the steps: screening a high-value sensing region from a source through a local space confidence map, and achieving the reduction of the order of magnitude of a communication load through combining with the transmission of sensing feature data of a to-be-transmitted grid set, and fundamentally relieving the bandwidth constraint. Secondly, global optimization scheduling based on a perception missing score ensures that limited communication resources are accurately delivered to a link which is most effective for compensating a perception blind area, so that the target detection recall rate and the average precision in a key scene are improved on the contrary while great load reduction is carried out, and unification of load reduction and precision increase is realized; finally, according to the scheme, through periodic global optimization, multi-vehicle resource competition is effectively coordinated, transmission conflicts are avoided, the system is endowed with excellent real-time adaptability to dynamic scenes such as vehicle movement and shielding changes, and the technical requirements of cooperative sensing of the Internet of Vehicles for high efficiency, accuracy and reliability are comprehensively met.