13 results about "Hide node" patented technology

The invention discloses a transformer area topological structure estimation method, system, equipment and medium based on multi-dimensional power utilization characteristics, and belongs to the technical field of power distribution transformer area topologies, and the method comprises the steps: collecting multi-source data, carrying out dynamic weight distribution and abnormal value correction, carrying out the characteristic extraction according to the collected multi-source data, and generating a high-dimensional characteristic vector; clustering user nodes, dividing cluster labels, performing topological modeling according to a cluster division result, generating a topological graph, and performing anomaly verification through multi-dimensional anomaly scoring and abnormal power utilization detection; and performing incremental model parameter correction and multi-objective optimization according to anomaly verification feedback, and generating dynamic topological graph rendering and multi-dimensional decision suggestions by integrating topological modeling, anomaly verification and optimization results. According to the method, accurate estimation of a topological structure is realized through dynamic clustering and hidden node recognition, real-time diagnosis of abnormal nodes and self-correction of a model are realized by means of a multi-dimensional abnormal scoring and self-adaptive optimization mechanism, and the accuracy and operation and maintenance efficiency of transformer area management are improved.

The application provides a method for determining information and an electronic device. The method comprises enabling a first user equipment to provide auxiliary information, and determining the auxiliary information. The method for determining information provided by the application can be used to determine an auxiliary user equipment, and provide auxiliary information to other user equipments, so as to avoid problems such as hidden node or half-duplex problem.

The application provides a vehicle networking fairness transmission method based on convex optimization and reinforcement learning, and belongs to the technical field of vehicle networking and data transmission. The technical scheme is as follows: S1: an improved confirmation ACK frame and a data DATA frame are designed to realize hidden node detection; S2: mathematical modeling of the transmission fairness problem; S3: fairness transmission based on convex optimization and reinforcement learning. The application effectively discovers hidden nodes, alleviates transmission conflicts caused by hidden nodes by improving the transmission power and the 'continuation' field of the data frame DATA, and finally improves the throughput; the reinforcement learning and convex optimization method are used to jointly optimize the transmission strategy, solve the minimization problem of the difference between the transmission data amounts of fast and slow vehicles, and improve the data fairness of vehicle networking transmission.

The invention discloses a social network inference method and a security monitoring method, and relates to the technical field of network identification. A social network inference method comprises the following steps: collecting income time sequence characteristic data of all nodes in a game dynamics system; calculating a reference degree sequence formed by all node reference degrees; inhibiting the behavior of the node i, and obtaining new income time sequence characteristic data of all nodes after the node i is inhibited; obtaining a new reference degree sequence based on new income time sequence feature data of all nodes obtained after the suppression of the node i; and comparing a new reference degree sequence obtained after the node i is inhibited with the reference degree sequence of the nodes, finding out the nodes with changed reference degrees so as to obtain network nodes connected with the node i, judging the number of hidden nodes connected with the node i, and finally inferring the network structure of the whole social network. A complex network structure in a nonlinear dynamic system is captured, connection information between nodes is deeply mined, and accuracy and comprehensiveness are improved.

The application relates to the technical field of control cabinets, in particular to a control cabinet remote intelligent diagnosis method and system based on multi-source data fusion, which comprises the following steps: acquiring a visible light image, infrared thermal image data and loop current of a target control cabinet; based on semantic analysis of the visible light image, a hidden node that is shielded is identified, a heat conduction agent area is locked and a central skeleton path is extracted; the heat conduction agent area is analyzed to determine a temperature rise gain strategy, the infrared thermal image data is compensated to generate corrected temperature rise data; a temperature gradient vector of the infrared thermal image data along the central skeleton path is calculated, and a heat source position feature is output based on the directivity of the temperature gradient vector relative to the hidden node; a theoretical heat production potential is generated based on the loop current, and a logic interlocking criterion is constructed. The application can realize accurate reverse attribution of hidden contact faults under non-line-of-sight conditions through multi-modal logic decoupling.

The application relates to a data transmission protection method based on combination of an HMAC-MD5 algorithm and key pre-distribution, which combines a key pre-distribution scheme and an HMAC-MD5 algorithm based on symmetric cryptography and integrates a key pre-distribution management scheme based on a hash mechanism; that is, before data information participates in communication encryption transmission, the key held by a node is preloaded, and the one-way characteristic of a hash function is utilized to hide part of the key information of the node; the application utilizes the one-way characteristic of the hash function and the key pre-distribution to hide part of the key information of the node to a certain extent, that is, to reduce the number of key leaks of the node, and then to reduce the possibility of destruction of other links of the network by an attacker, so that the security of node communication is improved.

Embodiments of the present disclosure relate to communication. According to embodiments of the present disclosure, a first terminal device receives first control information indicating a first set of resources reserved by a second terminal device and second control information indicating a second set of resources reserved by a third terminal device, respectively. If the first set of resources and the second set of resources overlap with each other, the first terminal device whether a condition associate with coordination of terminal devices is satisfied. If the condition is satisfied, the first terminal device transmits an indication to at least one of the second and third terminal devices. In this way, collisions in resources can be avoided. Further, it also can solve the hidden node problem.

Systems and methods of preparing a mixed quantum state using a thermodynamic - quantum hybrid scheme are provided. A system comprises a thermodynamic processor, a quantum processor, and a controller operatively coupled to the thermodynamic processor and the quantum processor. A plurality of samples from a data state is received. A plurality of configuration parameters of a thermodynamic processor is initialized to initial values, the thermodynamic processor having a plurality of visible nodes and a plurality of hidden nodes. A plurality of configuration parameters of a quantum processor is initialized to initial values. The hidden nodes of the thermodynamic processor are sampled. Based on samples of the visible nodes and sample of the hidden nodes and on the data state, the configuration parameters of the thermodynamic processor are updated. Based on samples of the visible nodes and samples of the hidden nodes, the configuration parameters of the quantum processor are updated.

This application provides a method, method, device, and apparatus for indicating resource allocation. The method includes: a target UE broadcasting transmission channel resource information, wherein the number of hidden nodes within a preset range of the target UE meets preset conditions, and the transmission channel resource information is used to indicate the transmission channel resources for the target UE to receive data. This method solves the technical problem of resource conflicts arising from different UEs selecting the same transmission resources due to hidden nodes.

Systems and methods of preparing a mixed quantum state using a thermodynamic - quantum hybrid scheme are provided. A system comprises a thermodynamic processor, a quantum processor, and a controller operatively coupled to the thermodynamic processor and the quantum processor. A plurality of samples from a data state is received. A plurality of configuration parameters of a thermodynamic processor is initialized to initial values, the thermodynamic processor having a plurality of visible nodes and a plurality of hidden nodes. A plurality of configuration parameters of a quantum processor is initialized to initial values. The hidden nodes of the thermodynamic processor are sampled. Based on samples of the visible nodes and sample of the hidden nodes and on the data state, the configuration parameters of the thermodynamic processor are updated. Based on samples of the visible nodes and samples of the hidden nodes, the configuration parameters of the quantum processor are updated.

Systems and methods resolve the hidden node problem in Wi-Fi communications and significantly reduce intra-extended service set (ESS) interference management and inter-ESS interference, thereby, improving network performance and enhancing user experience. In various embodiments, this is achieved by using connection discovery techniques that optimize user device associations with radio frequency (RF) units and streamline network management. Certain techniques leverage power detectors and timing references for efficient device identification and interference management. Further, some embodiments optimize multi-user multiple-input multiple-output (MU-MIMO) applications by improving user device selection and increasing areal capacity using two-antenna RF units.

The application discloses a social network inference method and a safety monitoring method, and relates to the technical field of network identification.A social network inference method comprises the following steps: collecting the income time sequence characteristic data of all nodes in a game dynamics system; calculating a reference degree sequence composed of the reference degrees of all nodes; suppressing the behavior of a node i, obtaining new income time sequence characteristic data of all nodes after the node i is suppressed; obtaining a new reference degree sequence based on the new income time sequence characteristic data of all nodes obtained after the node i is suppressed; comparing the new reference degree sequence obtained after the node i is suppressed with the reference degree sequence of the node, finding out the nodes whose reference degrees change, and obtaining the network nodes connected with the node i, simultaneously judging the number of hidden nodes connected with the node i, finally inferring the network structure of the entire social network, capturing the complex network structure in the nonlinear dynamics system, deeply mining the connection information between the nodes, and improving the accuracy and comprehensiveness.

The application provides a vehicle networking fairness transmission method based on convex optimization and reinforcement learning, and belongs to the technical field of vehicle networking and data transmission. The technical scheme is as follows: S1: an improved confirmation ACK frame and a data DATA frame are designed to realize hidden node detection; S2: mathematical modeling of the transmission fairness problem; S3: fairness transmission based on convex optimization and reinforcement learning. The application effectively discovers hidden nodes, alleviates transmission conflicts caused by hidden nodes by improving the transmission power and the 'continuation' field of the data frame DATA, and finally improves the throughput; the reinforcement learning and convex optimization method are used to jointly optimize the transmission strategy, solve the minimization problem of the difference between the transmission data amounts of fast and slow vehicles, and improve the data fairness of vehicle networking transmission.