57results about How to "Achieve interaction" patented technology

The utility model discloses a composite multimode waveguide structure, which belongs to the technical field of optoelectronic devices and comprises a plasmon unit made of a metal material or a material with a negative real part dielectric function. The plasmon unit is structurally characterized by comprising nanoparticles, nanowires, nanopore arrays or gradient structures; the dielectric waveguide is made of a semiconductor material with a high refractive index, and the dielectric waveguide is designed to be one of a strip-shaped waveguide, a ridge-shaped waveguide or a slit waveguide; and the substrate layer is located below the plasmon unit and the dielectric waveguide and comprises at least one low-refractive-index supporting layer, and the material system of the low-refractive-index supporting layer is one of an oxide material, a nitride material, a fluoride material or a composite substrate structure. According to the scheme, the contradiction of a plasma device and silicon photonics among mode degree of freedom, loss and process compatibility is solved.

The application provides a blind guiding method and system based on real-time interaction and scene recognition, divides a route into path points and path lines, takes an entry point of a path line as a navigation focus, obtains scene information through a camera arranged on glasses, detects a current scene through software, interacts with local software through a button arranged on a blind stick when needed, and is silent for detection in most time, does not interfere with self detection and judgment of a user on a road, and has the advantages of simple structure, convenient use and low cost.

The utility model relates to the technical field of operation machinery, and discloses a remote control antenna assembly and operation machinery, the operation machinery comprises a vehicle body and an arm support arranged on the vehicle body, the remote control antenna assembly comprises an arm support remote control antenna and a receiver arranged on the vehicle body, the arm support remote control antenna comprises an antenna radiator, a detection module and a transmit-receive front end module, the receiver and the arm support remote control antenna are connected through a cable, the arm support remote control antenna is installed on an arm support, the antenna radiator is used for receiving and radiating radio frequency signals, the signal processing part is electrically connected with the antenna radiator and the receiver, and the signal processing part is used for detecting and processing the radio frequency signals transmitted by the antenna radiator. And the receiver is used for receiving the processed signal and carrying out signal conversion so as to realize information interaction. According to the boom remote control antenna, the boom remote control antenna is arranged on the boom, the antenna radiator can be effectively prevented from being shielded, signals can be received more stably, and the remote communication requirement of a remote controller transmitter is met.

The application provides an image enhancement processing method for fishery resource statistics, belongs to the field of image enhancement, and aims to build a color prior feature enhancement network, the color prior feature enhancement network comprises a high-frequency information enhancement module and a low-frequency information enhancement module, the high-frequency information enhancement module strengthens the detail features in the fishery resource statistics image, the low-frequency information enhancement module focuses on the accurate correction of the image color, better retains the overall content and color expression of the fishery resource statistics image, a frequency information interaction module is built, interaction between the high-frequency information and the low-frequency information is realized, the color information in the low-frequency information is effectively fused with the texture and detail features in the high-frequency information, and fishery resource statistics image enhancement is realized.

The invention relates to the technical field of gas sensing, and discloses a cavity enhanced spectral absorption gas detection system and method based on AR-HCF, and the system comprises a light source part, a transmission part, a gas chamber part, a signal detection part and a demodulation part; the air chamber part is a mode interferometer, the mode interferometer is composed of a single-mode fiber (SMF), a gradient refractive index multimode fiber (GIF) and an anti-resonance hollow-core fiber (AR-HCF), the gradient refractive index multimode fiber is welded to the output end of the single-mode fiber, the anti-resonance hollow-core fiber is welded to the output end of the gradient refractive index multimode fiber, and the gradient refractive index multimode fiber and the anti-resonance hollow-core fiber are welded to the output end of the gradient refractive index multimode fiber. According to the AR-HCF-based cavity enhanced spectral absorption gas detection system, the gas sensing unit is of an all-fiber structure, so that the AR-HCF-based cavity enhanced spectral absorption gas detection system is small in size, high in electromagnetic interference resistance, low in cost and convenient to integrate.

This application discloses a data-aware intelligent analysis method, system, storage medium, and computer device. The method includes: receiving a target problem and initializing state information, wherein the state information includes key sub-conclusions, a reasoning state logic diagram, and key data descriptions; a language model-based agent iteratively performs the following operations: obtaining input information for the current step; updating the state information of the current step based on the action and environmental feedback information of the previous step, and making decisions based on the state information of the current step to obtain the action and tools to be invoked for the current step; invoking the tools to execute the action of the current step, and obtaining environmental feedback information for the current step after the action is completed; checking whether the target problem has been analyzed; if not, proceeding to the next loop; if completed, generating analysis results. This method can improve the reasoning ability, response consistency, and interpretability of deep reasoning models.

The application provides a virtual role movement control method and device, electronic equipment and storage medium, wherein the application is applied to a folding screen terminal configured with at least two sub-screens, the folding screen terminal comprises a first sub-screen and a second sub-screen, a first part of a game scene is displayed in the first sub-screen, and a second part of the game scene is displayed in the second sub-screen, the method comprises the following steps: in response to a movement instruction for a controlled virtual role, controlling the controlled virtual role to move in a current game scene; in response to a folding operation of the first sub-screen and / or the second sub-screen, controlling the controlled virtual role to move from the current game scene to a target game scene, wherein when the current game scene is the first part of the game scene, the target game scene is the second part of the game scene, and when the current game scene is the second part of the game scene, the target game scene is the first part of the game scene. Through the method of the application, the utilization rate of the folding function of the folding screen can be improved.

The utility model provides three operating system detection data processing equipment, including the casing cover and the power module, network switch module, three main control system modules, three hard disk extension modules and three communication extension modules that are all arranged in casing cover, the casing cover has the backboard for power distribution and data interaction between each module, and the power module, network switch module, each main control system module, each hard disk extension module and each communication extension module all take this backboard as the basic connection carrier, the power module is connected network switch module, each main control system module, each hard disk extension module and each communication extension module through the backplate, network switch module is connected with each main control system module through the backplate, and each main control system module is connected with a hard disk extension module and a communication extension module respectively through the backplate, and the multi -source data parallel processing is realized through the construction three operating system framework, and the space burden and power consumption burden of the application scene such as railway detection vehicle are reduced.

The invention relates to the technical field of computers, and discloses an image-based interaction method and device, equipment, a medium and a product, and the method comprises the steps: displaying a content publishing interface which comprises a target object identifier and a content information input component; displaying an image expression input interface based on a trigger operation for the content information input component, the image expression input interface including an image expression; determining a target image expression in response to a selection operation for the image expression; and generating a to-be-published target content at a preset position of the target object identifier according to the target image expression. By implementing the technical scheme of the invention, an information release function taking the image expression as a carrier is realized, and interaction can be carried out according to the image expression.

The application provides an interactive method and device based on a virtual role, equipment, a medium and a product, applied to the field of artificial intelligence technology, and the method comprises the following steps: when it is detected that a client plays video data, a target video emotion vector corresponding to a current playing time point of the video data is acquired from a video emotion vector sequence generated offline; a user emotion vector collected in real time is acquired; a preset AI language model is called, interactive information is generated according to the target video emotion vector, the user emotion vector and a prompt word template for a video watching scene, and the interactive information is sent to the client so as to feed back the interactive information through a virtual role in the client. Through the embodiment of the application, the virtual role is combined with the offline generated video emotion and the real-time collected user emotion to interact with the user, a companion watching scheme is provided for the user, and the immersive watching experience of the user is improved.

The present application relates to a kind of steam pipe network simulation system optimization scheduling method based on digital twinning, comprising the following steps: S1, the real-time dynamic data information of entity steam pipe network system is obtained;S2, the real-time dynamic data information obtained is input into digital twinning steam pipe network simulation system, and digital twinning steam pipe network simulation system carries out virtual synchronous iteration with entity steam pipe network system according to real-time dynamic data information, and outputs scheduling scheme;S3, decision maker decides whether to execute according to experience and actual production condition;S4, after scheduling scheme is executed, the data of entity steam pipe network system is collected by real-time monitoring system, and the real-time dynamic data information collected is transmitted to digital twinning steam pipe network simulation system, to update and improve digital twinning steam pipe network simulation system.The regulation and control method provided by the present application can realize the synchronization and interaction of physical entity and virtual model, and give steam optimization scheduling scheme from the point of view of operating cost.

The present application relates to a kind of small sample disease classification methods based on association learning, comprising: first, build a small sample asphalt disease data set containing multiple asphalt disease types;Second, using the principle of association learning, develop a set of deep learning model and its training strategy suitable for small sample disease classification;Then, by setting "precision-speed" comprehensive evaluation index and a variety of damage simulation mode, evaluate the comprehensive performance and robustness of the model;Finally, the model is further adjusted and optimized, and deployed to road disease inspection equipment, realize the accurate classification of road disease.Compared with the prior art, the present application aims to solve the problem that traditional deep learning method excessively depends on training data size, alleviate the deficiency of existing method under small sample condition, improve the classification accuracy and system robustness, and provide a new solution for road disease detection and classification.

The application discloses a sentence pair semantic matching method and system, belongs to the natural language processing technical field and the computer artificial intelligence field, and aims to solve the technical problems of how to construct and utilize context information of a sentence pair to strengthen a sentence pair interaction process and how to realize direct interaction between the context information and the sentence pair, thereby improving the accuracy of sentence pair semantic matching. The method specifically comprises the following steps: obtaining a sentence pair semantic matching data set; downloading a publicly disclosed sentence pair semantic matching data set from a network; constructing a sentence pair semantic matching model based on a Bilinear Triple-Attention mechanism; and training the sentence pair semantic matching model on a sentence pair semantic matching training data set. The system comprises a data set obtaining unit, a model constructing unit and a model training unit.

The invention relates to the technical field of intelligent interaction of pets, and discloses an AI intelligent interaction system for pets, which comprises a pet body, a main control chip, a voice acquisition module, a display module, a sensing module, a feedback execution module, an NFC friend-making module, an offline wake-up word recognition module and an intimacy management module. The induction module is used for identifying shaking actions or touch induction received by the pets, the feedback execution module is used for outputting feedback signals, the NFC friend making module is used for triggering interaction between different pets, and the offline wake-up word identification module is used for waking up the pets without a network. The intimacy management module is used for recording the interaction behavior between the user and the pet body and calculating the intimacy. A social scene is covered through the NFC friend-making module, interaction between toys is achieved, the guidance and use threshold of green hands is lowered, and the whole scene from single-person accompanying to multi-person interaction is covered; due to the integrated design, the AI pet intelligent toy can be developed step by step, the user experience is better, and the activity of the user can be improved.

This invention discloses a progressive multimodal remote sensing image super-resolution reconstruction method and apparatus. The method includes: inputting a low-resolution image; extracting primary modal features and secondary modal features from the low-resolution image; inputting the primary and secondary modal features into a context-aware adaptive multimodal alignment module, and processing the input modal features to obtain processed secondary modal features; fusing the processed secondary modal features at different levels through a progressively gated fusion mechanism to obtain the final fused features; inputting the final fused features into a preset reconstruction module to obtain the final super-resolution reconstructed image; and outputting the final super-resolution reconstructed image. This method employs a context-aware adaptive multimodal alignment module to achieve interaction and alignment of multimodal features; and uses a progressively gated fusion mechanism to achieve progressive reconstruction from local detail enhancement to high-level semantic guidance.

The application provides a kind of multi-modal sensitive label identification method and system for short video content security, anchors short video sensitive representation subject and disassembles to form multidimensional fine-grained representation unit, excavates the content association logic chain between multidimensional fine-grained representation unit, obtains relevant set;Perform cross-dimension feature interlacing and link fusion processing to construct sensitive association feature network;Sensitive association feature network is matched with preset sensitive label item set to generate initial anchoring association relationship;Then, the initial anchoring set is executed feature network reverse tracing and label anchoring counteracting calibration processing, and the anchoring association deviation is corrected;Based on the calibrated label feature node anchoring set, extract sensitive label and execute label interrelation aggregation and hierarchical division processing, output the sensitive label set corresponding to short video.The application comprehensively utilizes short video multi-modal information, and improves the accuracy of sensitive label identification.

A dynamic time-series data prediction method based on static knowledge graphs, belonging to the fields of artificial intelligence and industrial IoT, is proposed. This method constructs a graph model embedding representation of the static attributes of industrial equipment and uses it as a query vector in an attention mechanism. This vector is then cross-attentionally calculated with real-time operational data collected during equipment operation to achieve dynamic weight allocation for specific equipment. Through this mechanism, the system can adaptively adjust the importance of real-time control commands (such as parameter adjustments and switching operations) based on the static background information of different equipment (such as model and design parameters), generating context-aware control representations. These representations are then fused with time-series features such as sensor data and operational events and input into a sequence prediction model, thereby improving the prediction accuracy of future key performance indicators of the equipment. This method balances the synergistic effect of static knowledge and dynamic signals, effectively enhancing the model's sensitivity to individual differences among different equipment and reducing prediction bias.

This invention provides an unsupervised domain-adaptive image classification method based on ViT. It introduces a domain-cross-attention module based on global correspondence into the original ViT to interact with sample features from different domains at the domain level, capturing the global correspondence between cross-domain sample features. Global features are obtained based on the captured global correspondence between cross-domain sample features. Local features are obtained by introducing a feature interaction module into the original ViT. Local features interact and are superimposed with global features. The original ViT, after incorporating the domain-cross-attention module and the convolutional-transformer feature interaction module, forms a fused ViT. The fused ViT is trained to obtain a trained fused ViT. The trained fused ViT is then used to perform image classification tasks. This solves the problem of existing unsupervised domain-adaptive image classification methods lacking the capture of domain-level information and the interaction of local information.

The embodiment of the utility model discloses a control system of a multifunctional reading lamp, which comprises an intelligent bracelet, a bracelet main body, a first microcontroller, a temperature sensing module, a signal sending module and a first power supply module, and the first microcontroller, the temperature sensing module, the signal sending module and the first power supply module are arranged in the bracelet main body. The signal transmitting module is used for receiving a temperature signal and transmitting the temperature signal to the first microcontroller, and the first microcontroller is used for transmitting the received temperature signal to the multifunctional reading lamp through the signal transmitting module; the signal receiving module is used for transmitting a received temperature signal transmitted by the smart bracelet to the second microcontroller, the second microcontroller is used for generating a corresponding light signal according to the received temperature signal and transmitting the light signal to the LED driving circuit, and the LED driving circuit is used for controlling the display state of the LED lamp group according to the received light signal. According to the scheme of the embodiment of the utility model, wireless communication and interaction between the intelligent bracelet and the multifunctional reading lamp are realized, and convenience is provided.

The application discloses a three-dimensional feature representation-based intelligent text reading comprehension method and device, a storage medium and an electronic device, and belongs to the fields of natural language processing and artificial intelligence; the technical problem to be solved by the application is how to capture direct interaction features between three-sequence data and how to enhance sufficient interaction among an article, a question and options, so as to improve the prediction accuracy of an intelligent text reading comprehension system; the technical scheme adopted is as follows: ① a three-dimensional feature representation-based intelligent text reading comprehension method, comprising the following modules: a pre-training embedding representation module, a feature filtering module, a 3D CNN interaction feature module and a label prediction module; ② a three-dimensional feature representation-based intelligent text reading comprehension device, comprising: an intelligent text reading comprehension data set acquisition unit, an intelligent text reading comprehension model construction unit and an intelligent text reading comprehension model training unit.

The invention is suitable for the technical field of artificial intelligence, and relates to a storage controller, a storage system, computer equipment and a storage access method. The memory controller comprises a controller chip and a memory chip, the random access memory chip is bonded on the controller chip, the random access memory chip and the controller chip adopt the same address coding rule, and the random access memory chip comprises a first random access memory space used for storing a logic address mapping table; the second random access storage space is used for storing command queues corresponding to different storage channels, each storage channel is connected with at least one storage chip, and the command queues are used for caching operation commands issued by the controller chip to the storage chips; and the third random access storage space is used for storing read data returned by the storage chip in response to the operation command or storing write data required to be written by the storage chip in response to the operation command. According to the method, the strict requirements of a large-scale neural network model on high-bandwidth and low-delay storage access can be met.

This application discloses a data classification method, apparatus, and storage medium. The data classification method includes: acquiring a target image to be classified and text data within the target image; extracting features from the target image and text data respectively to obtain image features and text features; processing the image features and text features using a first attention model to obtain target features; and classifying the target image using the target features to obtain the classification result of the target image. This approach can improve the accuracy of the classification result of the target image.

The invention provides an interaction method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining input data of a user; generating response data of the input data based on a memory module of the user; the memory module comprises a theme weight vector aiming at the user, and the theme weight vector is obtained by updating at least one of interaction frequency and emotion tendency of the user aiming at each interaction theme in historical interaction; and interacting with the user based on the response data. According to the method, the device, the electronic equipment and the storage medium provided by the invention, successive updating of the theme weight vector can fit attitude change of the user for each interactive theme as time goes on. The memory module containing the subject weight vector is applied to generate response data of the user input data, so that the response data can adapt to dynamic growth change of the user, and personalized interaction aiming at the user is further realized.

The application provides a semantic iterative fusion depth prediction method and system based on monocular depth estimation, and an automatic driving environment perception field, which comprises the following steps: taking original bottom visual features and global text semantic embedding vectors as multi-modal prompts, injecting each layer of a pre-trained encoder through a cross attention mechanism to obtain multi-modal output; performing multi-scale feature aggregation on the multi-modal output to obtain compact single-scale aggregated features; inputting the global text semantic embedding vectors and the compact single-scale aggregated features into a semantic guidance attention module to obtain semantic alignment visual features; inputting the semantic alignment visual features into an iterative semantic fusion module for iterative geometric calibration to obtain iterative optimized features; and inputting the iterative optimized features into a semantic fusion decoder to obtain monocular depth prediction results of automatic driving. The method can guarantee the real-time performance of automatic driving environment perception and improve the depth prediction accuracy.

The utility model relates to a multifunctional EPD visual acuity detector, including EPD display screen, aluminium frame and back cover, EPD display screen is connected in the front end of aluminium frame, the back cover is fixed in the back of aluminium frame, and the space inside surrounded between back cover and aluminium frame is equipped with control mainboard, EPD display screen is electrically connected with control mainboard, and EPD display screen can switch and show different visual acuity detection image, the upper portion of aluminium frame is equipped with respectively with the camera, microphone, speaker and infrared sensor of electric connection of control mainboard, network module is connected on control mainboard, and this network module is connected with AI cloud end server communication, the utility model discloses through the integration camera, microphone, speaker and infrared sensor, can realize the interaction with the user, realizes the AI intelligent vision detection, replaced the traditional light box test vision's mode, makes the test more efficient.

The invention discloses an intelligent stereoscopic warehouse system and method based on a laser demarcation device, and belongs to the technical field of intelligent warehousing. The system establishes a high-precision space coordinate system for a warehouse through a space reference network formed by fixed laser demarcation devices; the mobile device visually perceives the network to realize submillimeter-level accurate positioning, scans the goods allocation by using a laser demarcation device carried by the mobile device, and perceives the state of the goods allocation in a non-contact manner; the central processing system is integrated with a digital twinning technology, inventory can be managed, and warehouse structure deformation can be monitored by analyzing long-term change of reference laser. The problems that a traditional stereoscopic warehouse is large in positioning accumulative error, goods location sensing depends on a large number of sensors, and the self-calibration capability is lacked are solved, and the precision, reliability and intelligent level of the system are remarkably improved.

The application provides a storage expansion pooling device and system, which comprises a mainboard, a plurality of Retimer cards with CDFP interfaces, a plurality of NVMe SSD hard disks and a plurality of hard disk backplanes, and a plurality of first MCIO connectors and a plurality of second MCIO connectors are arranged on the mainboard; the mainboard is connected with the plurality of Retimer cards through the plurality of first MCIO connectors, the plurality of Retimer cards are connected with a plurality of host ends through CDFP interfaces, a plurality of CDFP cables and I / O Fabric; and the mainboard is connected with the plurality of NVMe SSD hard disks through the plurality of second MCIO connectors, a plurality of Slimline cables and the plurality of hard disk backplanes. In the application, the storage resource is decoupled from the host end, so that the storage resource is expanded; the storage expansion pooling device is connected with the I / O Fabric through the CDFP interface and the CDFP cable, a communication connection with the plurality of host ends is established, the plurality of host ends access the storage expansion pooling device pool through the I / O Fabric, and the multi-host sharing of the storage expansion pooling device pool is realized.

The embodiment of the specification discloses a self-powered near field communication code plate, compared with a near field communication payment machine, the near field communication code plate is more lightweight and low cost, does not need an external power supply, is convenient to carry, is convenient to deploy, is convenient to use, and based on the cooperation of the above two types of coils, helps to improve the induction and the near field communication success rate, and also helps to more reliably and efficiently carry out the near field communication and related business. The near field communication code plate comprises a shell, a first coil, a second coil, a control chip and a photovoltaic cell; the photovoltaic cell supplies power for the first coil and the control chip; the control chip controls the first coil; under the control of the control chip, the first coil uses the energy brought by the photovoltaic cell power supply to stimulate the terminal equipment close to the near field communication code plate, so as to improve the signal strength of the terminal equipment near field communication; the second coil carries out near field communication with the terminal equipment, and carries out business information interaction through near field communication.

The embodiment of the disclosure provides a cross-EDA software interaction method, applied to a first host running first EDA software, and the method comprises the following steps: calling an external command in the first EDA software to start a second EDA software; obtaining connection identification information of a first target host; wherein the first target host is a host running the second EDA software; opening an interaction switch in the first host, and obtaining interaction information files corresponding to the first target host based on the connection identification information, wherein the interaction information files comprise a host number and a connection port number; creating a first communication interface, and sending a connection request to the first target host based on the interaction information files, and establishing a communication connection with the first target host through the first communication interface.

The application relates to a communication method for accessing a USB interface of a detection instrument by a data conversion device, which comprises the following steps: the data conversion device establishes a communication connection with a mobile terminal and mounts the detection instrument in a USB mass storage mode; the data conversion device writes received downlink data into a downlink file special directory of the detection instrument as a downlink data file and writes MD5 code into a downlink check code file; the detection instrument regularly polls the downlink check code file to check the integrity, when the check is passed, the downlink data file is parsed and a detection task is executed, after the detection task is completed, uplink data is written into an uplink file special directory as an uplink data file and MD5 code is written into an uplink check code file; the data conversion device regularly polls the uplink check code file to check the integrity, when the check is passed, data is sent to the mobile terminal through Bluetooth. Compared with the prior art, the application has the advantages of improving the inspection efficiency and the like.