19 results about "Channel integration" patented technology

The present application relates to the technical field of intelligent customer services, and particularly relates to an AI-based intelligent customer service system for cross-border e-commerce. The system comprises a multilingual real-time translation module, a cross-cultural semantic understanding module, a multi-channel unified management module, and a dynamic knowledge base update module, wherein the multilingual real-time translation module implements multilingual real-time interaction; the cross-cultural semantic understanding module interprets user requirements in combination with a cultural background database and a sentiment analysis unit; the multi-channel unified management module implements unified access and management of different channels; and the dynamic knowledge base update module ensures the real-time performance and accuracy of a knowledge base. The present system solves the problems of insufficient multilingual support, inadequate cross-cultural adaptation capabilities, imperfect multi-channel integration mechanisms and limited dynamic requirement response capabilities in existing intelligent customer service systems, thereby significantly improving the applicability and service capability of the intelligent customer service system.

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 invention relates to the technical field of wireless optical communication, particularly discloses a multi-user retro-reflection light sensing integration method and system, and aims to solve the problem that retro-reflection light sensing integration in a multi-user scene is not realized yet, a transceiver is utilized to modulate a multi-user input bit to generate a fusion signal, and a light source is driven to emit a light signal; when the user receiver demodulates and recovers the communication bit, the optical signal is retroreflected and recovered to the transmitter; and the transceiver detects the superposed retroreflection signal, performs joint sensing with the transmitted signal, and estimates the distance from each user to the transceiver by adopting a cross-correlation calculation and interference elimination technology. According to the method and the system, a multi-user scene-oriented retroreflection light sensing integrated function is realized, communication and sensing services are simultaneously provided for a plurality of users by utilizing wireless light transmission, and the method and the system have a wide application prospect in the field of wireless light communication.

Systems and methods for structure enabled, model driven, channel integration and dispatch including: receiving, from a messaging client, model data; receiving from a template database a structured template, the template database comprising one or more templates that each comprise a static data element, a dynamic data element, and a channel configuration data element; generating a channel-specific message by applying the model data to the structured template; and transmitting, to a service associated with the channel configuration data element, the channel-specific message.

The invention discloses a self-calibration functionalization strategy based on a CNT FET sensor, and relates to the technical field of CNT FET sensor calibration. According to the self-calibration functionalization strategy based on the CNT FET sensor, the same-chip multi-channel integration is realized through local differentiation functionalization compatible with a micro-nano process, and the self-calibration target in the device is finally achieved by combining the physical and chemical barrier effect of a hydrogel three-dimensional anti-fouling layer; high stability, high specificity, high reliability and strong anti-interference capability of detection in a complex practical application scene are guaranteed, the defects that in the prior art, the operation process for eliminating influences is complex, and real-time drifting of a device cannot be eliminated are successfully overcome, and the defects that due to an existing modification method, non-specific adsorption is caused, and same-piece contrast cannot be achieved are overcome. And the stability and reliability of the detection process cannot be ensured.

Methods, systems, and devices for replacement channel integration for three dimensional memory cell architectures are described. A method of manufacturing a memory architecture may include forming a stack of materials above a substrate. Trenches may be formed within the stack of materials, where each trench may include a gate oxide material lining the trench, and pairs of conductive pillars forming gate elements. The gate elements may form word lines associated with activating memory cells of the memory architecture. Another trench may be formed perpendicular to the trenches, and used for forming memory cells each including a selection element and a storage element within sacrificial layers of the stack of materials between the trenches. The trench may form a source line for accessing the memory cells adjacent to the trench. A digit line may be formed around the trenches and may be configured to access the memory cells.

The invention relates to the technical field of car moving, in particular to an anti-harassment WeChat code scanning and NFC (Near Field Communication) sensing car moving notification system, which is characterized by comprising a background car moving service system, a car moving two-dimensional code for a code scanning device to scan a code to enter the background car moving service system, and a car moving NFC module for an NFC recognition module to sense to enter the background car moving service system, the background car moving service system comprises a car moving two-dimensional code and NFC synchronous data management database, a virtual number generation module and a user setting database. According to the system, the NFC and the car moving two-dimensional code are fused, the car owner can realize data synchronization of the two-dimensional code and the NFC only by binding in one mode through the double-channel fusion mode, the application efficiency of the car owner is improved, the application range of the system is greatly expanded, and an existing single NFC direct dialing car moving scheme does not have; the vehicle moving notification requirement can be met in various environments, and the excellent anti-harassment effect can be achieved.

Methods, systems, and devices for replacement channel integration for three dimensional memory cell architectures are described. A method of manufacturing a memory architecture may include forming a stack of materials above a substrate. Trenches may be formed within the stack of materials, where each trench may include a gate oxide material lining the trench, and pairs of conductive pillars forming gate elements. The gate elements may form word lines associated with activating memory cells of the memory architecture. Another trench may be formed perpendicular to the trenches, and used for forming memory cells each including a selection element and a storage element within sacrificial layers of the stack of materials between the trenches. The trench may form a source line for accessing the memory cells adjacent to the trench. A digit line may be formed around the trenches and may be configured to access the memory cells.

A system (100) for optimizing multi-channel customer service using artificial intelligence (AI) and a distributed architecture, wherein the system comprises: a channel integration layer (1) configured to receive customer requests from multiple communication channels, including voice, email, chat and social media, and normalize the requests into a uniform format; a distributed message queue (2) configured to asynchronously receive and manage requests, wherein the message queue (2) ensures scalability, fault tolerance and high availability; a KL processing engine (3) comprising the following: a sentiment analysis module (31) configured to classify customer sentiment using a transformer-based model trained on labeled datasets of customer interactions; an intent detection module (32) configured to identify the customer's intent based on the requests using supervised learning algorithms trained on historical data; a task prioritization unit (33) configured to calculate a priority value for each request based on sentiment, intent and urgency; a task distribution service (4) configured to dynamically assign tasks to agents based on availability, skills and task priority; a real-time dashboard module (5) that includes the following: an agent dashboard (51) configured to display prioritized task queues with live status updates; a supervisor dashboard (52) configured to visualize query trends, sentiment distribution, backlog of tasks and agent performance metrics; where the system (100) uses a microservices architecture (6) and a cloud-based deployment (7) to dynamically scale services, maintain fault tolerance, and deliver actionable insights for optimizing customer service.

The invention discloses a high-precision adjustable large-swing range integrated multi-channel driving circuit, on one hand, a pre-stage gain adjustable circuit is adopted to calibrate gain deviation and realize multi-channel integration, and on the other hand, a post-stage large-swing adjustable output stage circuit is adopted to realize multi-channel integration by combining digital coarse tuning and analog fine tuning functions. And the large-range high-precision adjustment of the output signal amplitude is realized. The driving circuit adopts a BiCMOS (Bipolar Complementary Metal-Oxide-Semiconductor Transistor) process, and a pre-stage gain adjustable circuit realizes gain deviation calibration through an improved Gilbert unit circuit structure and is compatible with a multi-channel integration function. Besides, a rear-stage large-swing adjustable output stage circuit controls the on-off of a tail current source through a switch, so that the swing range of an output signal reaches 3.0 V, and the tail current source of the current mode logic circuit is continuously adjusted within a certain range by integrating a 14-bit digital-to-analog converter circuit. And the fine adjustment resolution of the output signal amplitude is less than 0.2 mV.

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 invention discloses a global clock network multiplier multiplexing method for a digital decimation filter in a Sigma-Delta ADC (Analog to Digital Converter). A data input and buffer module, a symmetric addition module, a multiplier time division multiplexing module, an additive operation and output module and a state machine control module are included. A large number of multiplier units need to be deployed for achieving high-order filtering response through a traditional FIR filter, high-proportion DSP resources are occupied in an FPGA, the logic resource utilization rate exceeds the limit, and the multi-channel integration capacity is remarkably restricted. According to the basic principle of the method, the characteristics of coefficient symmetry and multiple extraction of an FIR filter are utilized, and a time division multiplexing multiplication unit is provided to reduce the use of logic resources. According to the method provided by the invention, the problem of overlarge occupied hardware resources caused by a high-order filter is effectively solved, and the hardware resources used in the filter design are greatly reduced.

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 electronic commerce, in particular to a collection system and method supporting fusion of multiple payment channels, and the system comprises a parameter collection module, a weight sorting module, a main account book writing module, a time delay recognition module and an asynchronous synchronization module. According to the invention, a standardized transaction time and amount processing mechanism is introduced in a collection behavior access stage, the basis of transaction parameter uniformity under different payment channels is improved, the weighted entropy value is constructed in combination with the transaction amount and the access time, and the transactions are sorted. The problem that the priority of multi-channel access transaction processing is not clear in a traditional sequence is avoided, the distribution rule of transaction processing time delay is identified by constructing an account book write-in processing time delay set and introducing a probability density modeling mode, and accurate screening of transaction synchronization sections is achieved. And a channel type association mapping mode is introduced in an asynchronous account book reconciliation and restoration link to ensure consistent output of data, so that the multi-channel fusion processing efficiency and the accounting consistency accuracy are effectively improved.

The utility model discloses an IO port level conversion circuit and an electronic device. The conversion circuit comprises an input port, an output port and a switching circuit. The input port is used for inputting a received first level signal into the switching circuit; the output port is provided with a pull-down resistor and outputs a second level signal based on the control of the switching circuit; the switching circuit comprises a first switching tube, a second switching tube and a conversion power supply; the first switch tube comprises a first control end, a first injection end and a first collection end; the second switch tube comprises a second control end, a second injection end and a second collection end; the first collection end and the second collection end are connected with the conversion power supply; the first control end is connected with the input port, and the first injection end is grounded; the second control end is connected with the first collection end, and the second injection end is connected with the output port. According to the conversion circuit, stable level conversion can still be realized under the condition that the output end is provided with an internal pull-down resistor, and the cost increase caused by multi-channel integration is also avoided.

The invention discloses an AI coupling inductor, which belongs to the technical field of inductance elements and comprises a supporting part, an array type magnetic core module, a laminated winding module, a partition plate structure, a vertical block and a multi-core wire. The array type magnetic core module is provided with a plurality of containing cavities arranged in an array mode, each cavity is internally provided with a cylindrical magnetic core and a stacked winding module, and each winding module is composed of a plurality of winding sets and interlayer isolation pieces. And the vertical block penetrates through the winding module and is inserted into the supporting part for supporting and heat conduction. And the winding group is connected with an external circuit through the multi-core lead. Through the integrated array design, high-density multi-channel integration of the inductor is realized; through a three-dimensional heat dissipation system formed by the vertical blocks, the windows and the isolation pieces, the heat dissipation efficiency is effectively improved; through the independent magnetic core and winding structure, the consistency and stability of coupling coefficients among channels are ensured, and the power supply is particularly suitable for the fields of AI servers, high-end display cards and the like with extremely high requirements on power supply performance.

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.