216 results about "Network code" patented technology

The invention discloses a goaf unmanned aerial vehicle inspection system based on monitoring and early warning, and the system comprises an observation data collection module which is used for collecting settlement and fracture main variables to form a time stamp observation set; the data fusion module is used for generating a unified monitoring data set by adopting a fractal small-world network coding consensus algorithm; the initial route planning module is used for constructing a route sequence based on a main variable evolution tensor and a risk map; the flight path execution module is used for collecting a flight path and environment data; the fault-tolerant control module triggers a fractional order sliding mode fault-tolerant and degradation mechanism based on the consistency error; and the closed-loop optimization module is used for dynamically updating the main variable tensor and the path cost function and outputting an optimized track and a structured early warning result. The system has high dynamic responsiveness and multi-source risk adaptability.

The invention discloses a recommendation system and method for keeping semantic integrity based on a large language model. According to the method, user-article interaction data and text information are fused, a prompt template of a user and an article is constructed, a configuration file with rich semantics is generated by utilizing a large language model, and initial embedded representation is extracted. Then, two-stage dimensionality reduction transformation is carried out through principal component analysis and a multi-layer perceptron, semantic information is reserved, and low-dimensional embedding is generated; on the basis of the embedding, cosine similarity is calculated, a user-user and article-article similar graph is constructed, and final embedding representation is generated through graph convolutional network coding. Meanwhile, collaborative filtering is combined to capture an interaction relationship and optimize a joint learning target, including recommendation loss, cross-modal comparison loss and regularization terms, so as to align semantics and collaborative filtering embedding, and finally generate a high-precision personalized recommendation result. The method effectively improves the semantic comprehension ability and recommendation accuracy of a recommendation system, and is suitable for various recommendation scenes.

Methods and systems for physical layer network coding based on two-dimensional (2D) joint coding are described. In some methods, first and second packets are obtained. A set of one or more cross-packet check blocks is generated, where each cross-packet check block is generated based on a set of cross-packet bits including at least one bit from each of the first and second packets. At least one cross-packet check block is transmitted to a first communication node.

The invention discloses a hydropower station water level detection method and system. The method comprises the steps that an original water flow characteristic parameter set is obtained through multiple sets of Doppler effect radar flow measuring devices; performing segmentation extraction to obtain a water flow feature sub-data set; inputting a Transform network coding layer to generate a water flow feature coding vector; outputting a preliminary water level predicted value sequence through a decoding layer; a radar flow measurement model is called for correction to obtain a correction sequence; time sequence integration is carried out to obtain a water level change curve. The system comprises a multi-source Doppler radar signal acquisition unit, a spatial-temporal feature segmentation extraction unit, a Transform coding processing unit, a water level preliminary prediction unit, a radar model correction unit and a time sequence integration output unit. According to the method and system, multi-source parameters are deeply fused, the environmental adaptability is improved, the continuity and reliability of a detection result are enhanced, the water level of the hydropower station can be accurately monitored, and support is provided for scheduling decision and safety prevention and control.

The invention discloses an unmanned aerial vehicle cluster authentication method based on a certificateless homomorphic network coding signature, and belongs to the field of cryptography and network security. In an unmanned aerial vehicle network system comprising a KGC, a source node, an intermediate node and an authentication server CS, the following steps are executed: the KGC generates system parameters and a master key; the source node registers to the KGC and requests part of private keys; the source node carries out vector splitting and expansion on the authentication message, randomly selects a message identifier, executes a signature algorithm to respectively calculate the signature of each vector, and sends the vectors and the signatures to the intermediate node; and the intermediate node executes a verification algorithm to judge the validity of the currently received data packet, discards the invalid data packet, calculates to obtain a signature of the combined vector, and forwards the signature to the adjacent intermediate node. When the CS obtains a sufficient number of valid data packets, the original authentication message can be recovered and an authentication success message is sent to the source node unmanned aerial vehicle. According to the invention, the transmission performance and reliability of the unmanned aerial vehicle network are improved.

The invention discloses a novel digital hybrid coding method based on a large model. The method comprises the following steps: S1, preprocessing to-be-coded data; s2, performing feature coding on the preprocessed data by adopting a diffusion model driven feature learning method; s3, performing neural network coding on the feature coding data, and dynamically adjusting the coding bit number based on a variable bit rate quantization method; s4, performing adaptive entropy coding on the neural network coding data, and performing probability density transformation based on a normalized flow entropy coding method; s5, discrete transform coding is carried out on entropy coding data, and hierarchical quantization is carried out on different frequency components by adopting a hierarchical sub-block quantization method; and S6, based on the code length distribution and entropy coding parameters of the A3C optimization transformation coding data, extracting a lightweight coding model from the diffusion model by using a knowledge distillation method, and generating final optimization coding data. Through the hybrid coding and dynamic optimization strategy, the data compression efficiency and the coding quality are remarkably improved.

Embodiments relate to a delay control system for improving network coding of bidirectional traffic, and more particularly to a delay control system for improving network coding of bidirectional traffic that sets a path with a constraint on time in an IIOT network and controls new network coding-aware routing capable of efficiently utilizing opportunities for network coding, and the delay control system for improving network coding of bidirectional traffic includes an intermediate node request collector configured to receive a route request (RREQ) packet transmitted from a source node, an intermediate node calculator configured to calculate a deadline between the source node and a destination node based on the RREQ packet received by the intermediate node request collector, and an intermediate node request transmitter configured to transmit the RREQ packet through an optimal path between the source node and the destination node based on the deadline.

The invention discloses a neural architecture search method based on a diffusion evolution algorithm, and the method comprises the steps: firstly constructing a supernet which comprises subnets, and enabling each subnet to give a weight to each operation on each connection edge through continuous coding; then obtaining different types of pictures to construct a data set; and finally, performing alternative optimization on the super-network weight and the sub-network codes, stopping optimization until constraint conditions are met, obtaining optimal sub-network codes, and further obtaining the architecture of the neural network. According to the method, an iterative denoising mechanism of a diffusion model and a global search strategy of an evolutionary algorithm are creatively fused, a super network is constructed by combining the denoising mechanism of the diffusion model and the global search capability of the evolutionary algorithm, and network weight and subnetwork coding are alternately optimized; through adaptive noise scheduling and density estimation, population diversity is enhanced, local optimum is avoided, and an optimal neural network architecture suitable for a task can be better found.

The invention discloses a heterogeneous network embedding method based on dynamic heterogeneous network decomposition and a hierarchical space-time attention mechanism. The method comprises the following steps: dynamic network decomposition: decomposing a heterogeneous network sequence into independent subgraph sets according to edge types; multi-order node attention aggregation: for each sub-graph, fusing information of nodes and different edge types; semantic level attention is embedded, wherein global semantic embedding is generated in combination with global relation type weight and meta-path long-short-term memory network coding; time dynamic modeling: respectively calculating a time attention weight and a Monte Carlo sampling approximate Horkes intensity, and then aggregating and splicing results of the time attention weight and the Monte Carlo sampling approximate Horkes intensity to obtain a final embedding result. According to the method, through cross-granularity semantic modeling and efficient time sequence dependence learning, an innovative solution is provided for node representation of the dynamic heterogeneous network.

Systems and methods are described for providing an application-level gateway that allows computing devices to utilize an on-demand network code execution system. An on-demand network code execution system may allow users to submit code to be executed in a serverless environment, and may provide an interface for executing the user-submitted code on demand. The interface may require that users authenticate, provide input in a particular format, or meet other criteria when sending a request to execute the code. An application-level gateway may thus provide an interface that implements these functions, thereby allowing computing devices to interact with the code as though it were running on a server (e.g., by using the Hypertext Transport Protocol). The application-level gateway may also use on-demand code execution to provide load balancing for servers that are running the user-submitted code, and seamlessly provide access to code that runs on both server-based and serverless environments.

Disclosed are a data processing method, an electronic device, and a computer-readable storage medium. The data processing method may include: determining, in response to acquiring at least one source data packet, a first network coding mode for the at least one source data packet according to a pre-configured first network coding parameter; encoding the at least one source data packet according to the first network coding mode to obtain a first encoded data packet; and sending the first encoded data packet to a first receiving end, such that the first receiving end processes the first encoded data packet.

The invention discloses a guard type cross-network git code synchronization method, system and device and a storage medium. The method comprises the steps that a browser logs in a vpn, and a timed refreshing program is started; and meanwhile, a git code synchronization program is scheduled regularly. The git codes are scheduled and synchronized regularly, so that the labor investment is reduced, and the execution efficiency is high.

Apparatuses, methods, and systems are disclosed for configuring based on network coding (“NC”) and multiplexing. One method includes receiving a multiplexing configuration of at least one network-coded logical channel and at least one non-network-coded logical channel multiplexed for transmissions scheduled over at least one transport block (“TB”). The method includes receiving a NC configuration corresponding to each network-coded logical channel of the at least one network-coded logical channel corresponding to each TB of the at least one TB. The method includes determining, for each network-coded logical channel of the at least one network-coded logical channel corresponding to each TB of the at least one TB, a code block (“CB”) threshold based at least on the NC configuration and the multiplexing configuration.

The invention relates to the field of Internet of Things equipment security upgrading, and discloses an intelligent washing machine embedded software online upgrading method and system, and the method comprises the following steps: 1, a server side stores an encrypted upgrading program file and calculates a verification value, issues the verification value in a wireless manner at a set time, generates an equipment uniqueness voucher based on a physical unclonable function, and sends the equipment uniqueness voucher to the server side; establishing equipment identity binding; 2, dynamically calculating a network coding parameter based on the equipment uniqueness voucher according to a real-time channel quality parameter; and 3, based on the network coding parameters, carrying out dynamic block network coding transmission on the upgrade data, and generating an encrypted upgrade data packet by adopting chaotic encryption in the transmission process. According to the invention, an end-to-end security authentication system is realized by binding the unique voucher of the equipment and establishing an encrypted transmission channel. According to the scheme, the unauthorized access and firmware tampering are effectively prevented by utilizing the dual guarantee of hardware features and a cryptographic algorithm.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, configuration information indicating that network coding is enabled for initial transmissions associated with a multicast / broadcast service (MBS) and indicating that network coding is enabled for retransmissions associated with the MBS. The UE may receive, via a multicast traffic channel or a dedicated traffic channel, an initial transmission associated with the MBS, wherein the initial transmission is associated with a first set of encoded packets. The UE may transmit a radio link control (RLC) status feedback message associated with the initial transmission. The UE may receive, via the multicast traffic channel or the dedicated traffic channel, a retransmission associated with the initial transmission, wherein the retransmission is associated with a second set of encoded packets. Numerous other aspects are described.

The invention discloses a power dispatching master station robot autonomous inspection method and system based on SLAM and multi-mode perception. The method comprises the following steps: performing SLAM joint estimation through data fusion of a 3D LiDAR, a visual sensor and an IMU, performing inter-frame pose solution based on three-dimensional point set matching by adopting coordinate alignment and scale recovery, and introducing the IMU to perform cross-sensor consistency verification and adaptive pose optimization so as to solve the problem of positioning drift in a complex scene; meanwhile, natural language instructions are coded through a GRU network, visual features are extracted in combination with a residual network with an attention mechanism, time sequence fusion and modeling are carried out, and autonomous navigation decision making in a dynamic environment is achieved. The system comprises a corresponding SLAM estimation module, a multi-modal fusion decision module and an execution mechanism. According to the method, the positioning robustness, the navigation precision and the task adaptive capacity in the complex environment of the power dispatching master station are remarkably improved.

The invention discloses an unmanned aerial vehicle network multipath selection and network coding redundancy transmission method. The method comprises the following steps that each unmanned aerial vehicle carries out node state perception and link prediction; the source node initiates a multi-path routing discovery process based on the extended AOMDV routing protocol, performs path quality measurement, and selects a plurality of paths with the highest path quality as active transmission paths; the source node divides an original data block to be sent into a plurality of original data packets and encodes the original data packets respectively; performing optimal distribution based on a water injection algorithm; data forwarding and decoding receiving are carried out according to an optimal distribution result; and continuously detecting that the link communication actively triggers the maintenance process before the link is actually broken. According to the method, high-reliability, low-delay and energy-balanced data transmission is realized in a highly dynamic unmanned aerial vehicle network through a rigorous evaluation and optimization system, and the overall survival time of the network is effectively prolonged; and predictive route maintenance and fast route switching are carried out through the extended routing table.

Vector network coding, such as linear network coding, is used to compute a plurality of coded data parts from original data, wherein each coded data part is computed from a cryptographic hash function of a previous coded data part. A recipient of the coded data parts can compute the cryptographic hash functions of the coded data to reproduce a system of linear equations, which can be solved to recover the original data. A cryptographic key that employs a polynomial over a finite field can have polynomial coefficients that comprise a function of vector network coding coefficients.

Apparatuses, methods, and systems are disclosed for configuring based on network coding (“NC”). One method includes determining, at a receiving device, a NC configuration for transmission of a scheduled network-coded application data unit (“ADU”). The method includes receiving the scheduled network-coded ADU in at least one transport block (“TB”). The method includes determining, for each TB of the at least one TB, a code block (“CB”) threshold based at least on the NC configuration. The method includes configuring, for each TB of the at least one TB, a NC-aware hybrid automatic repeat request (“HARQ”) process as a HARQ process with the CB threshold. The method includes using the CB threshold to determine a NC-aware HARQ feedback report. The method includes feeding back the NC-aware HARQ feedback report to a transmitting device.

The present invention concerns a method and apparatus of supporting the compilation of an input computer program to create a collection of computer programs as its output, wherein the output computer programs working with the supporting apparatus are capable of creating self-organizing and dynamically changing peer-to-peer networks of computing devices during execution of the output computer programs, and performing distributed computations and data processing on such formed networks so as to accomplish the tasks described in the input computer program.

Embodiments of this application provide a data processing method and apparatus, and relate to the communication field, to improve spectral efficiency in network coding-based data transmission. The method includes a transmit end device generating a protocol data unit (PDU) based on a reference size and K network coded packets, generating a transport block (TB) based on the PDU, and outputting the TB.

The invention discloses a two-stage pulse data lossless coding method and device based on lossy coding and residual coding. Through a deep neural network, the preprocessed pulse data are used as input, probability distribution of latent variables and residual errors is obtained through two stages of lossy coding and residual error coding, and therefore corresponding code stream files are output, and the purpose of lossless compression of the pulse data is achieved. The existing coding model is not suitable for processing pulse data or is difficult to realize lossless coding; according to the method, a first pulse data lossless coding model is adopted, a bit splicing data preprocessing mode is adopted, so that the neural network is easier to mine data correlation, and a two-stage framework of lossy coding and residual coding is applied to ensure lossless coding. On the basis of the mode, the neural network coding model can be integrally optimized by utilizing an end-to-end training method, so that better pulse data lossless coding performance is obtained.

The invention discloses a self-adaptive anti-monitoring communication system, and relates to the technical field of communication security. The system comprises a multi-dimensional fusion sensing module, a dynamic adaptation engine, an encryption communication subsystem and a verification feedback module. The innovation points are that the monitoring situation is accurately researched and judged through multi-source information fusion, a communication parameter and an encryption strategy are dynamically matched based on a research and judgment result, a transmission mechanism combining improved adaptive frequency hopping and dynamic network coding is adopted, and meanwhile, a key dynamic updating and identity bidirectional verification system is constructed. The problems that in the prior art, self-adaptive adjustment is poor in pertinence, encryption and transmission efficiency is unbalanced, and anti-monitoring scene adaptation is single are solved, collaborative optimization of monitoring risk perception, dynamic defense and communication quality is achieved, and the safety and reliability of communication in the complex electromagnetic environment are improved.

A data processing method and apparatus are disclosed, which may be applied to communication systems such as 5G and 6G. The method includes: obtaining an extended first codebook based on a second codebook by increasing a quantity of codewords or lengths of codewords, and performing first network coding or decoding based on the first codebook. Linear independence between codewords in the extended first codebook may be ensured as much as possible, so as to generate more valid redundant packets or check packets, thereby improving system reliability. Alternatively, flexible block lengths are supported, so as to perform efficient network coding or decoding on more original data packets, thereby improving system spectral efficiency. This application may be applied to an extended reality XR service or another low-delay service.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) and multiple network coding devices may communicate to reduce multiple network coding devices accepting a same take over request message from the UE for a given data packet. In some examples, the multiple network coding devices may determine respective backoff periods to wait before accepting the take over request message such that each backoff period is different for each network coding device. In some examples, the UE may receive respective broadcast messages from each of the multiple network coding devices that indicate a network coding capability parameter, and the UE may select a network coding device based on the received capability parameter. In some examples, a network coding device may transmit an indication of packet overload and refrain from accepting a take over request message.

Methods, architectures, apparatuses, and systems directed to configured grant (CG) uplink hybrid automatic repeat request (HARQ) operation with network coding (NC) are described herein. In an embodiment, a method may include transmitting a set of network coded protocol data units (NC-PDUs) of a NC generation in one or more transmit occasions of a CG period. The method may include transmitting NC related information associated with the NC generation to assist the network in decoding. The method may include monitoring to receive feedback information for the NC generation and transmitting one or more subsequent sets of NC-PDUs from the NC generation in one or more subsequent CG periods until the feedback information acknowledging a reception of the NC generation may be received.

The deployment of an edge service with network slice invocation is provided, which includes receiving one or more service-related parameters for a network slice invocation to support an edge service instance, and requesting a network slice from a network based on the one or more service-related parameters received. The request from the network is made via a collaboration platform. Furthermore, the deployment of the edge service with network slice invocation includes receiving network slice invocation codes from the network based on the network slice request and initiating the activation of the edge service instance via the network's network slice by using the network slice invocation codes.

Certain aspects of the present disclosure provide techniques for method of wireless communication by a target user equipment (UE), comprising receiving, from a network entity, signaling configuring the target UE with at least one set of parameters for a network coding scheme, receiving, while connected to a cooperative UE via a sidelink, network coded sub-packets from the network entity, receiving, from the cooperative UE via the sidelink, at least one of network coded sub-packets or original sub-packets, decoding the network coded sub-packets received from at least one of the network entity or the cooperative UE, based on the network coding scheme, to recover one or more original packets.

Apparatus, methods, and computer program products for handover of transport blocks (TBs) for network coding are provided. An example method may include receiving, from a user equipment (UE), a transport block (TB) associated with a networking coding request. The example method may further include transmitting, based on at least one of first movement information of the UE, second movement information of one or more recipients of the TB, or a TB load of the first network coding device being above a threshold, a handover request message to a network entity for handover of the TB to a second network coding device. The handover request message may be for a handover of the TB to a second network coding device.