43results about How to "Balance performance" patented technology

The invention discloses a multi-window rendering optimization method for containerized swan application, and the method comprises the steps: building a window adaptation layer at a host side to achieve the instruction conversion from a container side to the host side, analyzing a rendering mode at the container side when the swan application Abilitity is started, generating a structural body containing window full-amount attributes, and transmitting the structural body to the host side; the adaptation layer creates a corresponding native window to establish mapping between a swan gap window and a host window, a Mesa compatible buffer pool is initialized for the window according to a rendering mode, when an application initializes a frame buffer creation request, a host side allocates an idle buffer from the corresponding buffer pool, a container side establishes mapping between a virtual frame buffer object and a host side buffer, and the virtual frame buffer object is mapped to the host side buffer; when the swan application submits display, the cross-container sharing handle of the rendering buffer area is exported from the container side and sends buffer area data to the host side, the host side imports the sharing handle and then binds the GPU buffer area to the surface of a target window to submit a refreshing request, and the synthesizer synthesizes application rendering content and original window decoration and sends the application rendering content and the original window decoration to the display equipment to complete screen display.

The invention discloses a rare earth aluminum alloy cable material and a preparation method and application thereof, and relates to the technical field of aluminum alloy material preparation. The rare earth aluminum alloy cable material is prepared from the following raw material components in percentage by mass: 0.3 to 0.6 percent of Ce, 0.3 to 0.6 percent of Sc, 0.05 to 0.15 percent of Y, 0.10 to 0.20 percent of Fe, 0.05 to 0.15 percent of Si and the balance of Al. The preparation process comprises the steps of melting, refining, casting, homogenizing treatment, hot rolling, drawing and aging treatment. The rare earth elements Ce, Sc and Y are added, a specific heat treatment process and a processing process are combined, and the three rare earth elements Ce, Sc and Y have a synergistic effect, so that the performance and the electric conductivity of the cable material are balanced, and the cable material has good electric conductivity and elongation on the premise of ensuring certain tensile strength, and can meet the requirements of the cable industry.

The invention relates to the technical field of polymer composite material preparation, in particular to a super-tough core-shell stereocomplex polylactic acid-based composite material and a preparation method thereof. The super-tough core-shell stereocomplex polylactic acid-based composite material is prepared from the following raw materials in parts by mass: 70 to 100 parts of polylactic acid and 0 to 30 parts of the modified elastomer in claim 4, and the dosage of the modified elastomer is not 0; the modified elastomer is prepared by melting and blending stereocomplex polylactic acid powder and a functional elastomer copolymer; the stereocomplex polylactic acid powder is prepared by reactive melt blending of PLLA and PDLA in an equal mass ratio or an equal molar ratio. The prepared super-tough core-shell stereocomplex polylactic acid-based composite material has excellent tensile strength and impact resistance, can be applied to the field of engineering plastics such as automobile parts, electronic and electric appliance shells, household products, catering tableware and the like, and has remarkable environmental protection benefits and industrial popularization value.

The invention relates to a memory refreshing method and device, electronic equipment, a chip and a storage medium, and belongs to the technical field of computers. The method comprises the steps that it is determined that a memory service scene is located in a target scene, the target scene is one of at least two service scenes with different service densities, a target refreshing mode of a memory is determined according to the target scene, and the memory is refreshed based on the target refreshing mode. In the application, the refresh mode can be dynamically selected based on the current target scene of the memory, and a fixed refresh mode is no longer adopted to refresh the memory, so that the balance of performance and power consumption can be realized in business scenes with different business densities, and the overall efficiency of the memory is prompted.

This utility model discloses a novel composite heat exchange vehicle-mounted refrigerator, relating to the field of vehicle-mounted refrigeration technology. It includes a housing, a novel composite heat exchange system, and a control system. The novel composite heat exchange system includes: a main refrigeration unit, utilizing a cold source and a cold storage medium within an energy storage body for refrigeration or cold storage; and a secondary refrigeration unit, including a semiconductor refrigeration element. The cold end of the semiconductor refrigeration element is coupled to the system's airflow path or energy storage body to provide supplementary or deep refrigeration, while its hot end dissipates heat through a heat dissipation structure. The heat dissipation structure is immersed in the cold storage medium, utilizing the cold storage medium to absorb heat from the hot end. This utility model, by combining the main refrigeration unit and the secondary refrigeration unit and optimizing the thermal management of the secondary refrigeration unit, achieves stronger refrigeration capacity and can meet lower refrigeration temperature requirements.

The application provides a dynamic causal reinforcement intelligent medical hallucination detection and correction method and system, and relates to the technical field of medical hallucination detection.The method comprises the following steps: acquiring relevant data sources, and constructing a dynamic medical causal graph according to the relevant data sources; determining a to-be-detected diagnosis result, a to-be-detected diagnosis result evidence source and a to-be-detected diagnosis result confidence; acquiring actual detection data; obtaining a first medical hallucination discrimination result; determining whether the to-be-detected text needs to be corrected; in the case that the to-be-detected text needs to be corrected, processing the to-be-detected text according to a medical hallucination correction model to obtain a first training generated text; obtaining a combination loss function; obtaining a trained medical hallucination discrimination model and a trained medical hallucination correction model; and obtaining a final medical hallucination discrimination result and a final generated text.According to the application, the efficiency and accuracy of medical hallucination detection and correction can be improved.

The application discloses a particulate matter sensor and an air treatment device. The particulate matter sensor comprises a shell, a gas flow passage for a to-be-detected gas containing particulate matter is formed in the shell; a gas flow generating piece is in communication with the gas flow passage, the gas flow generating piece can drive the to-be-detected gas to pass through the gas flow passage, and a preset wind speed V of the gas flow generating piece satisfies 0.5 m / s≤V≤3 m / s; and an optical detection assembly is arranged in the shell, the optical detection assembly is used for generating a detection light beam, the detection light beam forms a light detection area at an intersection with the gas flow passage, the light detection area has a preset area S, S satisfies 16 mm 2 ≤S≤100 mm 2 , and the optical detection assembly outputs an electrical signal about a particulate matter concentration value according to the detection light beam scattered by the particulate matter.

The present application belongs to the technical field of preparation of multi-curved surface silicon carbide, and discloses a preparation method of reaction sintering multi-curved surface silicon carbide whole plate, comprising: mixing 100 parts of alpha-SiC powder, 15-20 parts of composite carbon source, 1-2 parts of silicon carbide fiber, 2.3-3.8 parts of dispersing agent, 8-12 parts of water-soluble phenolic resin, 2-4 parts of additive and 42-46 parts of water according to weight parts, pre-dispersing, ball-milling, spray granulating, pressing into multi-curved surface green body; the green body is stacked with graphite support parts and filled with graded silicon particles, and is subjected to step-by-step degreasing and step-by-step reaction sintering under vacuum argon, and then is cooled after temperature control to obtain the product. Through the synergistic effect of formula control of composite carbon source, specific ternary additive and fine sintering process, the technical problem of sintering cracking and cracking of multi-curved surface whole plate is eliminated, and the product density, bending strength and fracture toughness are effectively improved.

This invention discloses an intelligent interactive companion robot based on affective computing and a large language model, relating to the field of artificial intelligence learning technology. It includes a robot hardware component and a robot head located at the top of the hardware component. The beneficial effects of this invention are: when a user operates the touchscreen, the touch signal is transmitted to the control chip on the main control board, triggering corresponding emotional feedback or command response; the identification sensing device uses a non-contact infrared sensor, which wakes up the main system when the detected signal exceeds a primary threshold; the main system runs a high-precision AI model for analysis; after reaching a warning threshold, edge-side data processing and structured transmission are performed, managing, visualizing, and storing the intelligent interactive companion robot data and corresponding analysis results. This facilitates the management of the intelligent interactive companion robot through internet cloud control, improving the level of intelligence in its management.

The utility model discloses an improved temperature controller and cooking device, and the temperature controller includes the shell body and bottom plate, and the shell body and bottom plate define the shell cavity, the top wall of shell body is provided with the upper through -hole, still include heat conduction post, temperature sensor and temperature fuse, the upper end of heat conduction post is provided with the upper locating platform, the upper locating platform is inserted in the upper through -hole, and the upper end surface of upper locating platform is higher than the upper surface of the top wall of shell body, heat conduction post is provided with the accommodation cavity, temperature sensor is arranged in the accommodation cavity, temperature fuse is arranged in the shell cavity and is arranged with the heat conduction post interval, and such setting guarantees that temperature sensor can quickly perceive the temperature of inner pot, and can select the temperature fuse of relatively lower temperature value, and the problem of balancing product performance and manufacturing cost is solved.

The application discloses a random rotation DEM structure for reducing switch activity, comprising a digital-to-analog converter, a digital input of the digital-to-analog converter is divided into an input code and a random rotation number, the random rotation number is input into a switch activity reduction structure through a barrel shifter output result delayed by a D flip-flop for one period, a feedback output of the switch activity reduction structure is fed back to the barrel shifter as an input, and an output of the barrel shifter after rotation controls corresponding switches and is connected to a corresponding cell array. The application uses input data to replace a pseudo-random number generator, and uses relatively simple logic to realize a switch activity reduction function, so that the complexity is reduced.

The invention discloses a full-process simulation and blasting pressure prediction method for a weak-rigidity core mold composite material shell, and belongs to the technical field of solid rocket engine integrated explosive forming shell design. The method comprises the following steps: designing an equal residual stress tension system based on a fiber winding layer stress theory; constructing a finite element model in the shell winding process, iteratively optimizing a tension system and determining a stress field and a strain field after winding; taking the stress field and the strain field as predefined fields, constructing a finite element model in the curing process, and calculating the stress field and the strain field after curing; and based on the stress field and the strain field after curing, progressive damage analysis is realized through a three-dimensional Hashin criterion, and the maximum blasting pressure of the shell with the powder is predicted. The problems that in the prior art, a tension system lacks collaborative optimization, simulation cannot cover the whole process, and blasting prediction deviation is large are solved, precise coupling prediction of the process and performance is achieved, and theoretical support is provided for optimization of the integrated forming process.

The utility model provides a kind of multi-channel high-speed storage backplane, including high-speed interface module, hard disk interface module, power supply module, management and control module and protection and maintenance module;The high-speed interface module is connected with mainboard by PCIe protocol;The hard disk interface module is connected with the high-speed interface module, for connecting and managing NVMe hard disk and SATA / SAS hard disk;The power supply module is for providing redundant power input for each module;The management and control module is connected with the hard disk interface module, for realizing the state monitoring and communication control to hard disk;The protection and maintenance module is connected with the power supply module and hard disk interface module, for realizing the circuit protection and hot plug function support to power supply and hard disk interface.The utility model has realized high-speed, stable and scalable data storage capacity, significantly improve the performance, reliability and operation efficiency under large-scale storage scene.

The present application relates to a kind of air suspension system adjusting method, device and car, air suspension system adjusting method includes according to preset design value control adjusting component to the height of each suspension in air suspension system is adjusted;Current four-wheel load is obtained, wherein, current four-wheel load indicates the weighing load of the four wheels of car;Determine whether current four-wheel load satisfies preset adjustment condition;If yes, then according to current four-wheel load control adjusting component to the height of each suspension is adjusted.In the embodiment of the present application, the height of each suspension is adjusted in the process of considering the vehicle posture and load distribution, so that the adjusted vehicle posture and load distribution can meet the design requirements, to realize the uniformity of vehicle posture and load distribution, so as to realize the performance balance of vehicle posture and load.

The utility model provides a large-specification stainless steel pipe fitting outer circle machining tool which comprises a lead screw, a fixed end cover and a locking nut. Central holes are formed in two ends of the screw rod body; the length of the lead screw body is larger than the axial length of the workpiece, and the two ends of the lead screw body extend out of the two ends of the workpiece. The two ends of the workpiece are concentrically positioned and adaptively provided with the fixed end covers, end cover center holes formed in the fixed end covers and the lead screw are concentrically positioned and adaptively installed, the end cover center holes transfer the center of the workpiece to the centers of the fixed end covers, and the outer threads at the two ends of the lead screw are screwed and adaptively provided with the locking nuts which clamp the fixed end covers of the workpiece. Therefore, the workpiece and the lead screw are concentrically locked, fastened and connected into a whole. According to the utility model, the technical problem that a large-specification stainless steel pipe fitting workpiece cannot be clamped and machined on an ME1332A cylindrical grinding machine at high precision is solved, the machining precision grade can reach IT5 and IT7, the surface roughness is less than 0.2 mu m, and high-precision, high-efficiency and low-cost machining of the outer circle of the large-specification stainless steel pipe fitting workpiece is realized.

The invention discloses a heat-based data protection method and device, equipment, a medium and a product. Relates to the technical field of data processing. The heat-based data protection method comprises the following steps: monitoring the access intensity of each data object in a storage pool; determining a popularity level and a target data protection strategy according to the access strength of each data object; and converting the data objects of which the current data protection strategy is inconsistent with the corresponding target data protection strategy into the corresponding target data protection strategy from the current data protection strategy. According to the technical scheme, the data protection strategy of the data object is dynamically adjusted according to the access strength, fine protection of the data is realized by taking the data object as granularity, cross-pool migration is not needed in the process of adjusting the data protection strategy, the overhead is low, the access strength is taken as the adjustment basis of the data protection strategy, and the data protection efficiency is improved. Storage and performance of data with different access intensities can be effectively balanced, and automatic and efficient dynamic data protection is achieved.

A wear-resistant agitator blade for mixing phosphate rock slurry includes a blade body with a wear-resistant layer laser-clad on the flow-facing edge. The outer arc edge of the wear-resistant layer is beveled, and the wear-resistant layer thickness is 3-5 mm. This invention achieves an optimal balance between cost and performance through the wear-resistant design of the flow-facing edge, significantly extending the service life of the agitator blade in high-solids-content media, and substantially reducing equipment maintenance frequency and related costs. It demonstrates significant technological advancement and social and economic benefits.

This invention provides a method and system for adaptive iteration count of a decoder, comprising: activating an adaptive iteration function; initializing the decoder and setting the decoder's iteration count to a maximum iteration count; calculating the average MCS value and average signal-to-noise ratio of the physical downlink shared channel within a sliding window; adjusting the decoder's iteration count as the initial iteration count based on the average MCS value and average signal-to-noise ratio; decoding a cell block and recording the actual decoding count used when decoding is successful; calculating the average of the actual decoding count used when the current cell block is successfully decoded and the actual decoding count used when previous cell blocks are successfully decoded within the sliding window; adjusting the current iteration count of the decoder based on the average decoding count, and decoding the next cell block. By dynamically adjusting the maximum iteration count of the LDPC decoder, unnecessary decoding iterations are reduced, UE power consumption is lowered, and a balance between performance and power consumption is achieved.

This invention discloses a method for defending against cached covert communication on an ARM platform based on noise loading injection. Due to the expanding attack surface of TEEs and the vulnerabilities of TrustZone technology in microarchitectural isolation, cached covert communication has become possible. This invention adds a defense mechanism against cached covert communication based on TrustZone technology, designing a cached covert communication defense architecture based on noise loading injection. Based on this architecture, a dynamic monitoring mechanism, a strategy optimization mechanism, and a noise injection mechanism are proposed. The dynamic monitoring mechanism monitors system security and system performance. The strategy optimization mechanism generates the optimal noise injection strategy and calculates the noise injection frequency and intensity in real time. The noise injection mechanism loads data to resist cached covert communication. This defense method improves the security of the original architecture and achieves low performance overhead, balancing system security and performance.

The invention discloses a shooting method and device, and belongs to the technical field of electronic equipment, and the method comprises the steps: adjusting the image collection specification of a local camera from a first specification to a second specification when a local end device of a distributed camera system is switched from the use of a local camera to the use of a far-end camera, and setting the image acquisition specification of the far-end camera as a third specification matched with the preview display demand based on the target resolution matched with the preview display demand, wherein the first specification is an image acquisition specification used by a local camera in a preview display state, the image resolution corresponding to the first specification is the target resolution, and the second specification is lower than the first specification; generating metadata based on image data collected by the local camera under the second specification; and generating and displaying a preview image based on image data collected by the far-end camera under the third specification and the metadata.

This invention provides a method and system for detecting anomalies in railway freight car components, relating to the field of railway freight car component anomaly detection technology. The method includes acquiring and identifying historical images of railway freight cars for each section to label anomalous components, thereby obtaining a railway freight car anomalous component dataset; constructing an initial VSSM-YOLO model based on the Mamba and YOLOv11 models, training the initial VSSM-YOLO model using the railway freight car anomalous component dataset to obtain a target VSSM-YOLO model; acquiring current images of railway freight cars for each section, inputting the current images into the target VSSM-YOLO model to identify the current images, and locating anomalous components based on the identification results to achieve railway freight car component anomaly detection. This invention improves the detection accuracy and localization capability of industrial inspection in complex scenarios, while balancing efficiency and performance.

The invention relates to the technical field of coatings for metal packaging, in particular to an outer weld joint repair coating and a preparation method thereof. The external weld joint repair coating prepared by the invention is prepared from acrylic resin, modified acrylic resin, a cross-linking agent, wax powder, polyester modified polydimethylsiloxane, a polysiloxane solution, polyolefin, phosphate polyester and an alcohol ether solvent according to a specific weight part ratio. The preparation method comprises the steps of preparing a solution, dispersing wax powder, grinding wax slurry, mixing and stirring, detecting and packaging and the like. The coating disclosed by the invention does not contain bisphenol A, has the characteristics of high gloss, high hardness, strong adhesive force, scratch resistance, good water resistance, high temperature resistance, sterilization, excellent corrosion resistance and the like, and is suitable for repair coating of welding seams outside tin printing can welding.

The present application relates to the field of paint, and more particularly to an artistic paint with low release, non-allergic, stain-resistant and clear texture and a preparation method thereof, which comprises the following raw materials in parts by weight: premixed solution A 36-54 parts, premixed solution B 18.7-24.85 parts, additives 0.15-3 parts, pigments 18-22 parts, and fillers 9-17 parts; the premixed solution A comprises emulsion A, emulsion B and silica sol; the volume ratio of emulsion A: emulsion B: silica sol is 6:2:1; the MFFT of the emulsion A is 5-10 DEG C, and the MFFT of the emulsion B is 0-5 DEG C. The paint solves the problems of the existing interior wall paint, such as insufficient environmental protection, high release amount of VOC, TVOC and SVOC, and poor low-temperature film-forming property of the product, and at the same time, the paint can easily remove common life stains such as watercolor pen, neutral pen, tea stain and ink.

The application discloses a lattice public key data encryption and decryption method and a key encapsulation method based on vector decoding. The method comprises the following steps: obtaining first target ciphertext data according to predetermined plaintext data, a first predetermined encryption method, a first target public key and a predetermined interference term, so that lattice public key data encryption can be realized; obtaining target plaintext data according to the first target ciphertext data, a first target private key and a predetermined decryption method, so that lattice public key data decryption can be realized. Meanwhile, the application also proposes a variant problem of a ring learning with errors problem (RLWE), namely, a subset-sum parity RLWE (sspRLWE) problem, and further optimizes the lattice public key data encryption method based on vector decoding in the application based on the variant problem. The public key encryption method and the key encapsulation method designed in the application have the characteristics and advantages of provable security, resistance to quantum computer attacks, short public key and ciphertext length, high calculation efficiency, low decryption failure rate, flexible parameter selection and the like.

This invention proposes a multimodal 3D object detection method based on knowledge distillation and adaptive category fusion, belonging to the technical field of 3D object detection methods. The specific steps of this method are as follows: Step S1: Construct a multimodal 3D object detection network CAAF-DET3D based on category-aware adaptive fusion, and perform multimodal feature fusion using adaptive grids and adaptive weights for different detection categories from a cylindrical coordinate perspective; Step S2: Train a teacher model using the CAAF-DET3D network on a large public dataset; Step S3: Construct a knowledge distillation framework for the teacher model and student model, and use logits distillation, feature distillation, and label distillation to guide the training of the student model; Step S4: Perform object detection using the trained student model. This invention significantly improves inference efficiency while ensuring detection accuracy, balancing the efficiency and performance of multimodal 3D point cloud object detection methods.

The embodiment of the invention provides a dynamic image display method and device and a storage medium. The method comprises the steps that the current operation state of a user on an interface view is determined; wherein the interface view comprises a target dynamic image; determining a visible state of a target dynamic image according to whether the target dynamic image in the interface view is located in a display area of the interface view; and determining the playing state of the target dynamic image according to the operation state and the visible state of the target dynamic image, and performing playing control on the target dynamic image according to the playing state of the target dynamic image. The playing state of the target dynamic image is controlled by detecting the operation state of the user and the visible state of the target dynamic image, so that the waste of some unnecessary playing conditions of the target dynamic image on computing resources can be avoided, the influence on interface operations such as user sliding and the like is reduced, and the balance between user experience and performance is achieved.

The invention discloses a solid state disk master control device, and belongs to the technical field of solid state disks. A mixed storage architecture is adopted and comprises a controller, a nonvolatile storage medium, a volatile storage medium and a plurality of NAND flash memories, the nonvolatile storage medium and the volatile storage medium are used in a mixed mode, and hierarchical and classified storage is carried out according to data characteristics; the nonvolatile storage medium and the volatile storage medium are integrated in the same address space through the controller, and intelligent hierarchical management of data is realized. Host write-in data is directly cached in a nonvolatile medium, metadata is stored in a volatile medium, and when the data size reaches a set threshold value, the data size is automatically brushed down to an NAND flash memory. According to the invention, an external capacitor is not needed, standby power-free data protection is realized through hardware architecture innovation, the material cost is obviously reduced by 20-40%, the PCB layout space is released, and the data loss risk caused by capacitor aging is fundamentally eliminated.

The invention discloses an installation method of an electronic component. The method comprises the steps that solder is smeared on a first area, matched with a first electronic assembly, of a substrate, the first electronic assembly is an assembly, except a second electronic assembly, in an electronic assembly set corresponding to the substrate, and the second electronic assembly is made of a ceramic material; mounting a first electronic component to the first area coated with the solder; welding the first electronic component to the substrate through the solder; a second area, matched with the second electronic assembly, of the substrate is coated with conductive rubber; mounting a second electronic component to the second area coated with the conductive rubber; and curing the conductive rubber to assemble and connect the electronic component set to the substrate to obtain the target circuit board. The technical problem that the circuit board is easy to damage is solved.

The invention belongs to the field of micro-grid control, and discloses a distributed direct current micro-grid secondary control method based on preset time, which comprises the following steps: acquiring a node operation original sequence in a periodic acquisition and time sequence storage mode, analyzing a state feature vector and constructing a node state set; analyzing to obtain a primary droop feature set and a primary operation deviation set; constructing a time constraint error evolution path and determining a preset time error sequence; based on the preset time error sequence and in combination with a neighborhood communication mechanism, generating a distributed secondary regulation quantity; and generating a secondary control instruction based on the distributed secondary regulation quantity in combination with sequence updating, saturation limitation and a soft start mechanism. Through a distributed sequential control means based on predetermined voltage recovery and frequency coordination, the frequency consistency of a plurality of micro-grid systems can be maintained, and significant frequency fluctuation and drift caused by load fluctuation or power supply input abrupt change can be effectively avoided.

The application relates to the field of small sample target detection, in particular to a two-stage small sample target detection method based on an optimized CBAM attention mechanism, and comprises the following steps: training a two-stage target detection network Faster-RCNN by using a base class data set to obtain a base class detection model; freezing parameters of a feature extraction backbone network in the base class detection model; optimizing a CBAM attention mechanism module; placing the optimized CBAM attention module in the feature extraction backbone network to construct a detection network, then inputting a new class small sample data set with a small amount of labeled information to fine-tune parameters of a detection head part of the detection network; and inputting a to-be-detected data set into the detection network to obtain a detection result. Compared with the prior art, the application has the advantages of inhibiting the influence of unimportant spatial information, improving the attention degree of important spatial information, enhancing the sensitivity to different scale features, and having strong generalization ability and robustness and the like.