6 results about "Channel integration" patented technology

Embodiments of the present application provide an image recognition method, the method comprising: constructing a neural network model, and training the neural network model through pre-acquired sample image data to obtain an image recognition model, the neural network model being composed of an input layer, a plurality of image feature capturing modules, a full connection layer, and an output layer in series; wherein the image feature capturing module is composed of a first channel integration module, a first convolution module, a feature map splicing module, a second channel integration module, a spatial attention module, a first activation layer, a second convolution module, and a second activation layer in series; acquiring an image to be recognized, inputting the image to be recognized into the image recognition model; and outputting a classification result of the image to be recognized recognized by the image recognition model. The technical solution of the embodiments of the present application can improve the applicability of image recognition based on a neural network model.

The application discloses a multi-modal medical image fusion method and system of a multi-channel integrated network, and the method comprises the following steps: acquiring multi-modal medical images to be fused; introducing a dense residual block to construct a multi-scale multi-channel image fusion network model; inputting the multi-modal medical images to be fused into the multi-scale multi-channel image fusion network model for fusion processing, and outputting fused multi-modal medical images. The system comprises an acquisition module, a construction module and a fusion module. By using the application, different and complementary information in original multi-modal medical images can be fused into one image, and better image fusion results can be achieved. The application can be widely applied to the technical field of image processing.

The application discloses a kind of target-oriented photovoltaic receiver light communication and energy integration system limited dynamic range constraint emission waveform design method, first generate MLS sequence, simultaneously to the original signal of input PAM modulation obtains PAM sequence, PAM sequence is as slow envelope to MLS sequence mean envelope modulation, and the alternating current signal after envelope modulation is obtained, direct current bias B is superimposed in the alternating current signal to constitute the final emission waveform.The application B determines reference light intensity and effective AC budget.In available budget, communication level interval and perception MLS amplitude are determined by amplitude allocation factor ρ together.Under fixed AC budget, ρ determines the trade-off between communication and perception, and B determines the upper limit of feasible dynamic range.The application makes full use of limited amplitude resources, realizes low-bandwidth photovoltaic receiver-oriented efficient information extraction, accurate echo perception and stable energy transmission, and realizes flexible coordination of communication and energy functions.

The invention discloses control software of a self-service car washer with multiple payment channels and multiple combination functions, and relates to the technical field of self-service car washing systems.The control software comprises a multi-payment-channel integration module, a parameter self-defining configuration module, a fault monitoring and processing module and a USB self-service upgrading module; a complete single-machine control system is formed; wherein the multi-payment-channel integration module supports independent operation and combined configuration of three payment modes of coin insertion, bill and IC card. With the adoption of the structure, coin insertion, paper money, IC card and combined payment are integrated, various payment habits are fit, and the use experience is improved; the real-time fault monitoring can quickly early warn and protect the equipment, so that the operation reliability is enhanced; local USB upgrading gets rid of network limitation and is convenient to autonomously update; the method supports flexible configuration of key parameters, adapts to different scenes, and comprehensively improves user experience, equipment reliability, maintainability and operation flexibility.

The invention relates to the technical field of data processing, in particular to an ecological credit traceability system based on a block chain, and is characterized in that an equipment entity trust source is established through a physical anchoring registration module, and an equipment composite fingerprint including an environment data hash value, an equipment operation state abstract and a quantum signature is generated through a quantum enhancement packaging module; and forming a quantum enhanced metadata packet in combination with the time anchor points. The dynamic purification module outputs a purification data set with a credibility score and a purification track proof, and the polymorphic verification contract module generates a dynamic confidence coefficient. The double-chain storage engine generates spatio-temporal anchor points. And the three-channel integration module generates a final value integral. And the entropy reduction feedback center forms a recursive verification closed loop. And the enterprise credit rating engine embeds the dynamic confidence coefficient into an ecological value dimension to realize cross-domain coupling of environmental data and enterprise credit, and finally solves the problem of end-to-end credible traceability of data under a chain in scenes such as industrial emission monitoring and the like.

The invention relates to the technical field of big data processing, and particularly discloses a recruitment information supervision platform and supervision method based on multi-channel integration, the system is provided with a key field processing module, a copywriting evolution generation module, a tampering risk aggregation module and a supervision process iteration module, and the key field processing module is used for quinary modeling. And the copywriting evolution generation module constructs a copywriting evolution chain based on the quintuple of each channel. And the tampering risk aggregation module performs multi-dimensional risk judgment. A supervision process iteration module generates a risk information undetermined group according to the tampering risk aggregation portrait, enters manual auditing and collects a misinformation sample and a confirmation sample, realizes self-adaptive iteration updating of the supervision process, enables the system to gradually converge a risk identification strategy in continuous operation, and improves the risk identification accuracy. The manual auditing pressure is reduced; and the stability of the whole supervision closed loop is improved.