5results about How to "Reduce magnification" patented technology

The invention provides a malicious user identification method and system giving consideration to privacy protection in a social network, and relates to the technical field of network privacy security, and the method comprises the steps: carrying out the structure perception sub-graph segmentation of a social network graph through an METIS algorithm, dividing an original graph into a plurality of sub-graphs, minimizing the number of edges crossing the sub-graphs, and keeping the scale balance of the sub-graphs; constructing a privacy perception GNN of an integrated gating residual attention module, wherein the privacy perception GNN comprises a privacy perception linear layer and a gating residual mechanism; based on differential privacy stochastic gradient descent framework training, combining an adaptive noise scheduling strategy, dynamically adjusting the noise scale according to privacy consumption deviation, and performing closed-loop control budget to obtain a trained model; and malicious users are identified through the trained model. According to the method, the problem of performance reduction caused by fixed noise injection and noise amplification is solved, and efficient and robust identification of malicious users is realized while differential privacy constraints are met.

The embodiment of the application discloses a high-dimensional NOT gate implementation method based on a lattice cold atom system and a related device. The method comprises sequentially exciting the first n energy levels of the lattice cold atom system through respective excitation frequencies, exciting k energy levels upwards, exciting the first n-1 energy levels after the upward excitation k-1 energy levels downwards, and exciting the n energy level after the upward excitation to the first energy level, thereby obtaining a high-dimensional NOT gate with a dimension of n, wherein k is an integer greater than n-1, so that the high-dimensional NOT gate is directly realized in the lattice cold atom system. The embodiment of the application is beneficial to reducing the depth of the quantum circuit, thereby reducing the accumulation and amplification of errors, and realizing high-dimensional quantum computing.

The utility model provides a passive infrared detection device that can shorten the power-on time, which comprises a pyroelectric infrared sensor and a multi-stage amplification circuit. The multi-stage amplification circuit comprises a primary amplification circuit and at least two secondary amplification circuits. Each stage of amplification circuit is provided with a negative feedback amplification circuit and has an operational amplifier OP, a feedback resistor R1 connected between the inverting input and output of the operational amplifier OP, and a series RC circuit connected to the inverting input of the operational amplifier OP. The total amplification factor of the multi-stage amplification circuit is greater than or equal to 1000, and the ratio of the resistance R1 in the feedback resistor and the resistance R in the series RC circuit in the same stage of amplification circuit satisfies 1 < R1:R ≤ 40. In this way, without changing the high-pass cutoff frequency and total amplification factor of the multi-stage amplification circuit, the power-on time is shortened by increasing the number of stages of the multi-stage amplification circuit and reducing the amplification factor of each stage of amplification circuit.

The invention discloses a cable fault abnormal data self-checking method and system based on multi-source traveling wave comparison, and relates to the field of power system protection and fault diagnosis. Under the condition that sampling clocks are inconsistent, overlapped data segments which can be mutually correlated are formed through same-window triggering collection and caching; performing wave head transient feature extraction on the multi-phase sheath traveling wave, obtaining the relative time difference of each channel by using cross correlation, and constructing a relative time difference matrix and an energy ratio matrix in combination with a wave head neighborhood energy ratio; generating a normalized reliability weight according to the signal-to-noise ratio and the energy consistency, jointly estimating the arrival time of each channel wave head in a weighted iteration time estimation model, identifying and correcting outlier abnormal data, and obtaining a self-checked arrival time sequence; and the position / segment length of the grounding box and traveling wave propagation velocity mapping are combined to output the position of a fault point. As a result, reliable positioning without high-precision synchronization is achieved.

The application relates to the field of electricity price prediction, and discloses a medium and long term electricity price prediction method, device and computer equipment suitable for a power market, which comprises the following steps: acquiring operation related time sequence data of the power market; obtaining first time sequence data on a first feature dimension from the operation related time sequence data according to the first feature dimension; wherein the first feature dimension is a feature dimension related to a bidding space; performing time sequence prediction on feature performance on the first feature dimension according to the first time sequence data to obtain bidding related time sequence data; and performing medium and long term electricity price prediction based on the bidding related time sequence data and the operation related time sequence data to obtain a predicted electricity price. Thus, by respectively performing stage-by-stage refined prediction on the bidding space related features and other operation related features, various factors influencing the electricity price can be more comprehensively captured, the accumulation and amplification of prediction errors are reduced, and therefore the final electricity price prediction result is more accurate.