66results about How to "Effective expansion" patented technology

The invention provides a data fusion sharing method for multi-source heterogeneous power big data, which comprises the following steps: when receiving multi-source heterogeneous power data, carrying out dynamic protocol adaptation, and converting multi-source heterogeneous power data formats of different protocols into a current system internal standard format; performing data quality evaluation on the data converted into the standard format in the current system, and when a quality evaluation result does not meet a quality requirement, performing data restoration; analyzing the data passing the data quality evaluation or restoration, determining the correlation among different data sources, and fusing the data according to the correlation among the different data sources; and performing distributed storage on the fused data for distributed indexing and access. By implementing the method and the system, efficient fusion and sharing of multi-source heterogeneous data can be realized, the intelligent level of data management and analysis of a power system is improved, and the requirements of an intelligent power grid on data instantaneity, accuracy and safety are met.

The invention discloses a virtual reality interaction method for constructing multi-modal fusion based on application scene features, and relates to the technical field of virtual reality. In order to solve the technical problem that in the prior art, when an existing multi-modal fusion technology is used for processing fusion of different modal data, the characteristic difference between different modals is large, the technical scheme provided by the invention comprises the following steps: acquiring and preprocessing multi-modal data; constructing a cross-modal knowledge enhancement network, extracting initial features, and enhancing the consistency and difference between visual and auditory features; important context information in fusion features is optimized and enhanced based on an optimization network of frequency spectrum and space attention; constructing an edge guide learning network, and combining the edge guide learning network to the tactile data; the visual, auditory and tactile features are fused and applied to a virtual reality scene; and optimizing the model through structural similarity loss, mean square error loss, significance weight loss and edge loss. The method is suitable for cooperative work of multi-modal features in a complex environment.

The invention belongs to the technical field of distributed data access, discloses an RDMA (Remote Direct Memory Access) distributed data transmission method supporting high-concurrency message transmission, and aims to improve system performance in a high-concurrency message transmission environment. The method comprises the following core steps: 1) peer-to-peer server design: each device is an independent server, and connection is established by a connection channel monitored at any time; 2) establishing a connection resource pool in advance; 3) creating and registering an RPC message; 4) transmitting the RDMA to a memory mailbox pool of a target server; 5) the client and the server perform high-concurrency processing; 6) dynamically polling the server; (7) zero-copy transmission of data is achieved through the RDMA technology. According to the invention, the dynamic expansion capability of the architecture is improved by adopting a connection resource decoupling mode, QP jitter can be reduced and the stability of the system can be enhanced by registering a memory of a continuous large page at one time, and the message transmission efficiency under the distributed network architecture is effectively improved by adopting a combined sending strategy.

The invention discloses construction waste recycling and filling equipment with a dust falling function, and belongs to the technical field of construction waste recycling. According to the construction waste recycling device, the movable dust falling mechanism, the pushing and compressing mechanism, the first recycling and smashing roller and the second recycling and smashing roller are arranged in a matched mode, through the design, effective smashing in the construction waste recycling process can be achieved, meanwhile, effective filling of the construction waste can be achieved, and the construction waste can be recycled in the treatment process. Effective and all-directional dust falling treatment on dust is achieved, the sanitation degree of a working area is guaranteed, meanwhile, the dust falling range can be effectively expanded, the actual application effect of the whole device is greatly improved, meanwhile, construction waste can be pushed to the two sides, it can be effectively avoided that waste is accumulated in a certain position of the device in a concentrated mode, and the service life of the device is prolonged. And meanwhile, construction waste can be compressed, waste of storage space in the device is avoided, and follow-up centralized treatment of the recycled waste is facilitated.

The invention discloses a method and device for simultaneously detecting qnr1, qnr2 and qnr3 and application. A sample is irradiated by a coaxial reflection LED light source outside 808nm, a sensitizer Sb2WO6 coated NiS provides photoelectrons and heat for LAMP through light driving, a target gene is used as a template to initiate an amplification reaction, and a large number of double-chain DNALAMP light induction products are obtained. Sb2WO6 (at) NiS is modified by a nucleic acid chain to obtain a signal probe, an LAMP light-induced product and the signal probe are captured by a detection region in a sandwich form, a photo-thermal temperature change signal positively related to the content of the LAMP light-induced product is given, and qnr1, qnr2 and qnr3 in a sample are quantified according to the temperature change signal. Photoelectron and photothermal effects are generated by using the photoinduced activity of the sensitizer Sb2WO6 at NiS, the temperature is rapidly controlled, the sensitizer is in direct contact with an amplification system on a molecular level, then photothermal analysis test paper color development detection is performed, and the photothermal efficiency is remarkably improved.

The invention relates to the technical field of image recognition, and discloses a target detection method and device and electronic equipment. The method comprises the steps of obtaining a to-be-detected image; performing wavelet decomposition on the to-be-detected image to obtain a high-frequency component and a low-frequency component; performing soft threshold processing on the high-frequency component and performing enhancement processing on the low-frequency component to obtain to-be-identified data; and inputting the to-be-identified data into a pre-trained target detection model to obtain a detection result. According to the method and the device, the adaptability to environment change is higher, the robustness is better, and thus the method and the device have higher recognition accuracy and reliability.

The embodiment of the invention discloses an electric energy meter protocol de-framing method and device, electronic equipment and a storage medium, and relates to the technical field of communication protocol processing, and the method comprises the steps: obtaining a service type and an object identifier according to APDU analysis of a state grid 698 protocol, obtaining object configuration information through searching by a dichotomy method, and obtaining an object identifier; obtaining member number limitation, operation authority and multiple sub-member information of the object, reading corresponding sub-member data information, if the service type is a read object, framing according to the data type and length of the multiple sub-member data information, and if the service type is a write object, framing according to the data type and length of the multiple sub-member data information; if yes, deframing is carried out according to the data type and length of the data information of the multiple sub-members, and the data information is written into corresponding data source positions and stored. According to the method, the problems of large code volume, high maintenance difficulty, low efficiency and resource waste caused by repeatedly compiling the framing and de-framing functions in the prior art are solved by designing the universal framing and de-framing functions for the data types and combining the configuration parameters and the linked list lookup technology.

The invention provides a hydraulic fracturing ground stress calculation method for a deep low-permeability reservoir, and relates to the technical field of geological survey. Rock samples are collected, and related geological data are recorded; secondly, measuring the porosity of the sample by using a drainage method, applying pressure to measure the compressive strength and the elastic modulus, and establishing a microscopic model to generate a microscopic stress state; thirdly, on the basis of the microscopic stress state and geological data, a mesoscopic model is built through discrete element software, water pressure is applied to the fracture surface, the initial stress state and stress changes caused by the applied water pressure are calculated, and therefore the mesoscopic stress state is generated; and finally, geologic modeling software is combined with mesoscopic stress data to establish a regional macroscopic model, a critical fracture width is generated, the maximum horizontal principal stress is calculated, and the maximum horizontal principal stress is the hydraulic fracturing ground stress. The method is combined with microcosmic, mesoscopic and macroscopic modeling technologies, and an effective ground stress analysis tool is provided for hydraulic fracturing of the deep low-permeability reservoir.

The invention discloses a UAVD-Net-based unmanned aerial vehicle remote sensing image defogging method, system and device and a medium, and the method comprises the steps: constructing a non-uniform haze remote sensing image data set which comprises a training set, a verification set and a test set; an unmanned aerial vehicle remote sensing image defogging network based on UAVD-Net is constructed; training an unmanned aerial vehicle remote sensing image defogging network based on UAVD-Net by using the training set and the verification set to obtain an optimal training weight file Dehaze.pt; performing unmanned aerial vehicle remote sensing image defogging on the unmanned aerial vehicle remote sensing image defogging network based on UAVD-Net by using the test set and the optimal training weight file Dehaze.pt to obtain an unmanned aerial vehicle remote sensing image defogging result; the system, the equipment and the medium are used for implementing the method. The multi-level global information capture module, the self-adaptive local information enhancement module and the cross channel feature fusion module are introduced into the network, the global information and the local features of the image are effectively fused, complementation is achieved, the defogging precision of the unmanned aerial vehicle remote sensing image under the non-uniform haze condition is effectively improved, and the defogging accuracy of the unmanned aerial vehicle remote sensing image is improved. The method has the advantages of high adaptability and high defogging precision.

The present invention discloses a method and system for fusion of infrared and visible light images based on high- and low-frequency separation and enhancement, and relates to the field of image processing technology. The method comprises the steps of: obtaining an infrared image and a visible light image to be fused; using an image fusion network to fuse the infrared image and the visible light image to be fused to obtain a fused image; wherein the image fusion step comprises: extracting shallow features of the infrared image and the visible light image, processing the shallow features using a feature separation algorithm to obtain high-frequency features and low-frequency features, enhancing the high-frequency features using a feature enhancement algorithm, and fusing the enhanced high-frequency features with the low-frequency features to obtain a fused image. The present invention separates the high- and low-frequency features, enhances the high-frequency features using a self-attention mechanism, and then cross-fuses the features, thereby highlighting important information such as texture details and improving the image fusion quality.

The invention relates to the technical field of wireless communication, and discloses a rapid networking method based on software defined radio fusion of multiple communication devices, which comprises the following four steps: preliminary networking, strategy decision and broadcast integration, direct neighbor device response and integration, and indirect neighbor device and other device integration. Information exchange and data transmission between cross-platform and cross-protocol communication devices are realized. And an integration mechanism of layer-by-layer diffusion is adopted, so that orderliness and high efficiency of the networking process are ensured. According to the method, network parameters do not need to be configured manually, the networking complexity and cost are reduced, and the networking efficiency and flexibility are improved. The method is especially suitable for emergency communication, Internet of Things, military communication and other scenes requiring rapid and flexible networking.

The invention belongs to the related technical field of image classification, and discloses a continuous image classification model training method and system for realizing zero sample playback and simple extension, and the training method comprises the steps: solving an optimization objective function facing a current classification task unit base vector; distributing an optimal equal-included-angle base vector matrix of the current classification task from a unit hypersphere, and adding the optimal equal-included-angle base vector matrix into an equal-included-angle base vector matrix set which stores equal-included-angle base vector matrixes of historical classification tasks to update the set; in the forward propagation of the training, the optimal global output representation of each hidden layer is determined by solving a minimum statistical dependence problem; and in back propagation of training, network parameters of each hidden layer are fed back and adjusted by using a gradient descent method. According to the method, the balance between the stability and the plasticity can be realized on the continuous image classification task, the method has the characteristics of zero sample playback and simple expansion, and the training efficiency is greatly improved by improving the optimization problem of each step.

The utility model relates to a kind of LED epitaxial structures, comprising: substrate;N type layer;Active layer is located on N type;P type layer, located on active layer;Wherein, the P type layer includes P type window layer, P type window layer includes several first laminated structure, each first laminated structure includes the GaInP layer, first GaP layer and second GaP layer of sequentially laminated, the P type doping concentration of second GaP layer in each first laminated structure is greater than the P type doping concentration of first GaP layer.The GaInP layer of the utility model has higher band gap, plays the role of optical window layer, can reduce light absorption loss;GaP has lower band gap, first GaP layer and second GaP layer play the role of buffer layer / transition layer, so the combination of GaInP layer, first GaP layer and second GaP layer realizes the balance of band matching and carrier transport efficiency, conducive to the efficient extension of current.

The application discloses a folding method of a side airbag of a car seat, which comprises the following steps: step 1, laying the side airbag; step 2, folding the upper part of the airbag to the passenger side, and then folding the upper part upward to form a Z-fold; step 3, inserting the lower end of the airbag into a fold to form an inner plug structure, at this time, the airbag is folded into a long strip shape; step 4, laying the long strip-shaped airbag, and folding the X-direction front part of the airbag to the passenger side direction; step 5, continuing to fold the X-direction rear part of the airbag to the root of the gas generator in a Z-fold manner; and step 6, wrapping a cloth around the outer periphery of the folded airbag to maintain the shape. The application has a good guiding effect on a large amount of gas generated by the gas generator, can effectively guide the gas to rapidly inflate to the dummy arm direction, makes the airbag unfold to the passenger side of the dummy and be filled with the gas, and realizes the function of rapidly lifting the arm of the dummy.

The junction box assembly comprises a junction box, a connecting seat and a fastener, the junction box is provided with a wire passing hole, the connecting seat is provided with a protruding portion sleeved with the junction box, the peripheral face of the protruding portion is attached to the inner wall face of the junction box, and the junction box and the connecting seat are detachably connected through the fastener. An interlayer for mounting a template is formed between the junction box and the connecting seat; according to the junction box assembly provided by the utility model, the direct installation of the junction box and the template can be completed, the installation stability of the junction box and the template can be ensured, and the molding effect of the surface of bare concrete can be improved.

The invention relates to a tumor-related DNA methylation marker combination, which is selected from at least one of the following: a target sequence as shown in SEQ ID NO: 1-SEQ ID NO: 10, a nucleic acid fragment with the length of at least 15 oligonucleotides or a complementary nucleic acid fragment thereof, and the nucleic acid fragment comprises at least one methylation site indicated by CG. The invention also relates to a detection kit for the methylation marker combination. According to the invention, the combination of the co-methylation states of a plurality of specific methylation regions is used for distinguishing and analyzing the occurrence of tumors, especially kidney cancer, the specific methylation combination has high sensitivity for distinguishing the occurrence of kidney cancer, and the detection method is simple, convenient and feasible. The primer pair combination of the kit overcomes the defect of false positive caused by detection mismatch of a single methylation site in the aspect of primer sequence design, and the interaction between a plurality of methylation biomarker primers and probe pair combinations is considered.

The invention belongs to the technical field of speech signal processing, and provides a non-intrusive narrowband speech quality assessment method and system for low-rate communication. The technical solution is to train a constructed speech quality assessment model based on speech data to obtain a trained speech quality assessment model; wherein the construction process of the speech quality assessment model comprises: extracting Mel spectrum features of speech data; obtaining an asymmetric feature map of speech data based on the Mel spectrum feature extraction; dividing the asymmetric feature map of speech data into multiple frequency bands, enhancing the features of each frequency band, and obtaining an enhanced feature map; calculating the score of each frame of speech based on the enhanced feature map, and calculating the score of the entire speech data based on the score of each frame of speech; and performing quality assessment on speech data to be assessed based on the trained speech quality assessment model, without the need for an original reference signal, and effectively assessing the speech quality in an actual communication environment.

According to the SR-IOV testing method and system based on the hardware simulation acceleration platform and the extended virtual machine, an additional hardware device is carried on the hardware simulation acceleration platform, the device can achieve extension of hardware resources, and the hardware simulation acceleration platform is driven and communicated through customized software, so that the hardware simulation acceleration platform and the extended virtual machine are integrated. According to the technical scheme, operation of a plurality of virtual machines and single-port or dual-port data communication are supported, full testing of the SR-IOV function is achieved, and the testing efficiency and the convenience degree of SR-IOV testing are improved.

The invention discloses a material of light-triggered amplification-photo-thermal detection test paper for tacA, tacB and tacC. A sample is irradiated by a coaxial reflection LED light source outside 504nm, a photosensitizer CsYF4 (at) Yb2O3 provides photoelectrons and heat for aRPA through light triggering, a target gene in a positive sample is used as a template to initiate an amplification reaction, three single-stranded DNA amplification products are obtained, and the three single-stranded DNA amplification products are used for detecting the tacA, the tacB and the tacC; a photosensitizer CsYF4 (at) Yb2O3 is modified by three nucleic acid chains to obtain three signal probes, a detection region captures an amplification product and the signal probes in a sandwich form, a photo-thermal temperature change signal positively related to the content of the amplification product is given, and tacA, tacB and tacC in a sample are quantified according to the temperature change signal. Photoelectron and photothermal effects are generated by using the photoactivity of the photosensitizer CsYF4 (at) Yb2O3, the temperature is rapidly controlled, the photosensitizer is in direct contact with an amplification system on a molecular level, photothermal detection test paper detection is carried out, and the photothermal efficiency is remarkably improved.

In order to stably supply differentiated T cells, the present invention provides a method for producing or expanding CD3-positive cells expressing CD3, a T cell marker, on their cell membranes, and a kit for expansion.

The utility model discloses a square drawing die internal rotary cutting device which comprises an operation box, an opening and closing door is installed on the front side of the operation box, a containing plate is connected to the top of an inner cavity of the operation box through bolts, and a containing groove is formed in the middle of the top of the containing plate. Electric jacks are connected to the positions, close to the left side and the right side, of the top of the containing plate through bolts correspondingly, a through hole is formed in the top of the operation box, and the top ends of the electric jacks penetrate through the through hole and are connected with a butt joint plate through bolts. According to the technical scheme, through mutual cooperation of a rotating plate, an arc-shaped groove, a round rod, a rectangular groove, a translation plate, a butt joint rod and other parts, a rotary cutter can be effectively expanded, so that the rotary cutter can adapt to molds of different specifications, the application range and the use efficiency of the rotary cutter are improved, the rotary cutter can be effectively swung, and the use effect of the rotary cutter is improved. Therefore, effective rotary cutting can be carried out, and the rotary cutting efficiency and the working efficiency are improved.

The invention discloses a quick file expansion method for an exFAT (Extensible File Allocation Table) file system. Relates to the technical field of rapid file expansion, in particular to the technical field of rapid file expansion of an exFAT file system. The problem that the file expansion speed is low is effectively solved, and the compatibility and flexibility of the file expansion method are improved. The method comprises the following steps: S1, confirming whether a file system has enough storage space or not, and marking the file system as a dirty state; s2, traversing the cluster chain table of the to-be-extended file, and finding the last cluster of the to-be-extended file; s3, calculating the number of new clusters required by the to-be-expanded file, and distributing the new clusters; s4, linking the tail cluster of the to-be-allocated file cluster chain table with the head cluster of the new cluster chain table to form a new complete cluster chain table; s5, updating the size of the file to be expanded; s6, setting file attributes, and updating directory entries and inode; and S7, aligning the expanded file. According to the method, the file system does not need to cancel mounting, efficient file expansion can be achieved, and the method is suitable for large-capacity storage equipment with the file size frequently expanded.

The present application relates to the technical field of insulators, and specifically discloses a composite insulator and a preparation method thereof. A composite insulator comprises: a core tube, the core tube is filled with a polypropylene foam material; an end flange, the end flange is used to seal the end of the core tube; an umbrella skirt, the umbrella skirt is wrapped and sleeved on the surface of the core tube; the umbrella skirt raw materials include: 30-50 parts of EPDM rubber; 5-8 parts of fiber-powder adhesive material; 8-10 parts of β-alanine solution; 2-5 parts of semi-carbonized straw powder; 0.1-0.3 parts of nano-silicon dioxide; 0.1-0.3 parts of nano-alumina; 1-3 parts of vulcanizer and 1-3 parts of compatibilizer. The composite insulator of the present application effectively improves the corona resistance of the umbrella skirt by introducing fiber-powder adhesive material, semi-carbonized straw powder and nanoparticles into the umbrella skirt material, which is conducive to improving the service life and working reliability of the composite insulator.

The application belongs to the technical field of cell culture, and discloses a T cell activation and expansion method based on self-adaptive liquid-liquid interface and application thereof. The application provides application of a liquid-liquid interface culture system in T cell activation and expansion, wherein the liquid-liquid interface comprises a two-dimensional liquid-liquid interface and a liquid-liquid interface microsphere, both of which can form a protein nanofilm at an oil-water interface, and the protein nanofilm is used to load molecules providing T cell receptor activation signals and / or molecules providing T cell costimulatory signals, so as to construct a self-adaptive T cell activation interface with dynamic molecular display capability. Compared with a traditional rigid solid culture dish and a magnetic bead system, the liquid-liquid interface has fluidity, molecular migration and interface responsiveness, and is more conducive to T cell receptor aggregation, formation of an immunological synapse-like structure and synergistic integration of T cell receptor activation signals and costimulatory signals.

The invention relates to the technical field of neodymium-iron-boron magnet materials, in particular to a neodymium-iron-boron magnet preparation method and a neodymium-iron-boron magnet. The neodymium-iron-boron magnet preparation method comprises the following steps that magnet raw materials are put into a smelting furnace to be smelted into rapid hardening pieces; carrying out a hydrogen demolishing process and jet milling treatment on the rapid hardening sheet to obtain fine powder; the fine powder is divided into first powder and second powder according to the mass ratio of 1: (8-10), and the first powder is subjected to liquid nitrogen freezing high-energy ball milling treatment to obtain frozen ball-milled fine powder; mixing the second powder and the frozen ball-milled powder to obtain mixed powder; and the mixed powder is pressed into a green body, then the green body is subjected to sintering treatment and aging treatment, and the neodymium-iron-boron magnet is obtained. According to the preparation method of the neodymium-iron-boron magnet provided by the invention, after the frozen ball milling powder is added in the preparation process, the mechanical property of the obtained neodymium-iron-boron magnet is remarkably improved.

The invention discloses a sample enhancement method and system based on multi-source data, belongs to the technical field of data processing, optimizes recognition of sample data based on the multi-source data, and provides recognition based on multi-dimensional behaviors, recognition based on attention relationships and recognition based on attention point locations. According to the method, suspected sample data mining based on multi-dimensional features and multi-dimensional relationships is realized, weighted integration of multiple sub-models is constructed in an ensemble learning form, the discovering capability of suspected sample data is improved, an adaptive iterative optimization mechanism of the model is constructed, and the precision ratio of the sub-models is checked regularly, so that the weighted integration mechanism is optimized automatically, and the discovering capability of the suspected sample data is improved. The self-adaptive related service sample discovery capability is realized, the border intelligent prevention and control capability is greatly improved, and more effective sample data expansion is provided.

The application provides a reduced-order unified modeling method, system, computer program product and device for electromagnetic small disturbances of a new energy system and a computer readable storage medium, and belongs to the technical field of new energy system modeling. D Q The application establishes a power network differential equation set in the electromagnetic scale under the common D Q coordinate system; a full system state space model is constructed; independent state variables and redundant state variables are identified through a method of traversing system nodes, differential and algebraic equation sets in the full system state space model are separated, a differential equation corresponding to the independent state variables of the system is constructed; based on the differential equation of the independent state variables, a full system differential-algebraic equation is obtained, and the full system differential-algebraic equation is further eliminated to obtain an ODE form of the full system state space model containing only the independent state variables, thereby laying a foundation for stability analysis of a large-scale new energy power system.​​

The application provides a thrombus removing support and system, and relates to the technical field of medical devices.The thrombus removing support comprises a support and a basket supported on a distal end section of an elongated operating rod, the support and the basket both have an expanded state relative to an initial state, the support comprises a frame body, the frame body has a shape expanded into a cage structure, and the frame body is used for cutting or scraping a thrombus; the basket comprises a rib and an aperture, and the basket is used for intercepting or capturing a free thrombus; a radial supporting force of the support is greater than a radial supporting force of the basket, or a radial supporting capacity of the support is greater than a radial supporting capacity of the basket; the thrombus removing support in the scheme combines the functions of cutting and capturing, and can process different types and states of thrombus in one operation.

An elevator fault diagnosis method based on a short sequence time convolutional network belongs to the technical field of elevator fault diagnosis and vibration fault diagnosis. First, a one-dimensional convolution method is used to reduce the dimension of the original time domain vibration signal of the elevator; then, a time convolutional neural network is used in combination with a neural ordinary differential equation to realize the extraction of local fault features of a short sequence; finally, a self-attention mechanism is introduced to extract richer global fault-related feature information for elevator fault diagnosis. The present invention provides an elevator fault diagnosis method based on a short sequence time convolutional network that effectively improves the accuracy and reliability of fault detection.

The invention discloses a method for promoting fundus blood circulation based on heat, and relates to the technical field of physical therapy, the method for promoting fundus blood circulation based on heat comprises the following steps: obtaining an eye treatment area and a first blood perfusion amount and a current temperature of the eye treatment area; obtaining a heating temperature according to the current temperature; the eye treatment area is heated according to the heating temperature, vibration with preset pressure or preset frequency is applied to the eye treatment area, and accurate and controllable heat is applied to the eye treatment area, so that periorbital capillary vessels and micro arteries can be safely and effectively expanded, and the eye treatment area can be effectively heated; the blood perfusion speed and perfusion amount of fundus tissues are remarkably increased, so that uncomfortable symptoms such as asthenopia and dryness are quickly relieved, and an auxiliary treatment means can be provided for chronic fundus diseases such as diabetic retinopathy.