28results about How to "Eliminate dependencies" patented technology

The application relates to the field of flight control technology, in particular to a hovering control method and device for a short take-off and vertical landing aircraft of a tilt-rotor type, wherein the method comprises the following steps: constructing a hovering nonlinear dynamics model of the short take-off and vertical landing aircraft containing a tilt-rotor power system; converting the hovering nonlinear dynamics model of the short take-off and vertical landing aircraft into a high-order full-drive system model to design a state tracking controller; designing an adaptive law based on a neural network to estimate nonlinear terms in the hovering nonlinear dynamics model of the short take-off and vertical landing aircraft; and feeding back the nonlinear terms to the state tracking controller to perform hovering mode stable control. Thus, the problems that the hovering control method based on dynamic inversion needs a large amount of linearization processing, the actuator dynamic characteristics are significantly different, the controller needs to verify the closed-loop performance through repeated simulation and experiment, and the multi-actuator decoupling efficiency of the aircraft is low and the robust control performance is poor are solved.

This invention discloses a method for autonomously constructing an evolvable knowledge graph by integrating a multimodal large-scale model, relating to the fields of artificial intelligence and knowledge graph technology. The method includes: collecting raw multimodal data from text, images, audio, and structured tables; using a pre-trained multimodal understanding large-scale model to perform unified semantic encoding on the raw multimodal data, generating modality-independent deep feature vectors to form an initial multimodal feature pool; performing cross-modal clustering analysis on the vectors in the feature pool, grouping semantically similar vectors into the same feature cluster, with each feature cluster defined as a candidate knowledge concept node; constructing an initial concept relationship network based on the co-occurrence relationship and feature similarity between candidate concept nodes; iteratively optimizing and evolving the network according to preset graph quality evaluation indicators, outputting the final evolvable knowledge graph. This invention achieves the autonomous and unified construction and evolution of a knowledge graph from multimodal data.

This utility model relates to the field of pipeline inspection technology, specifically to a drone inspection device for oil and gas pipelines. It includes an inspection instrument with an infrared camera fixedly mounted on one side. A removable battery is detachably mounted on the adjacent side via a clamping structure, and the removable battery has a charging slot for independent charging and maintenance. A sliding frame is fixedly mounted at the bottom of the inspection instrument, with hooks slidably embedded within it, allowing the device to be hung on the operator's clothing or mounted as a whole on a drone bracket. A display screen is embedded on the side of the inspection instrument opposite the removable battery. A microcontroller fixedly mounted inside connects to the removable battery via preset contacts to obtain power, and simultaneously connects to the infrared camera via flexible wires to transmit thermal signals and to the display screen to output detection results. This utility model solves the problems of shortened battery life due to reliance on drone power supply and the inconvenience of battery removal affecting continuous operation, achieving seamless switching between autonomous power supply and manual / drone dual-mode operation.

This invention belongs to the fields of medical image processing and deep learning technology. It discloses a pathological image classification method and system combining stable learning and hybrid enhancement. The method involves acquiring a pathological image dataset, dividing it into a training set, a validation set, a test set, and an external validation set, and preprocessing the dataset. A deep learning network combining stable learning and hybrid enhancement is constructed and trained using the training set. The optimal deep learning network model is obtained using the validation set. The test set and the external validation set are input into the optimal deep learning network model to output the pathological image classification results. This invention utilizes a well-fitting pathological image classification model to effectively improve the overfitting problem and weak recognition ability of traditional models for domain-biased data, enhancing the recognition accuracy of independent and identically distributed data, improving the robustness and generalization ability of the pathological image classification model, and increasing the diagnostic accuracy of pathological images.

This invention discloses an intelligent adaptive dose verification calculation method and system. The intelligent adaptive dose verification calculation method includes: obtaining preliminary dose distribution data for a patient based on a deep learning-based dose prediction model; dynamically assigning variance reduction parameters to particles in a Monte Carlo simulation based on the high and low dose distribution information in the preliminary dose distribution data, wherein the variance reduction parameters include simulation weights, with simulation weights assigned to particles predicted to be in high-dose regions being less than those assigned to particles predicted to be in low-dose regions; and using a Monte Carlo dose calculation engine, simulating the planned beam based on the dynamically assigned variance reduction parameters to obtain high-precision verification dose distribution data. This invention's intelligent adaptive dose verification calculation method ensures the physical authenticity of the final verification dose distribution and the credibility of the "gold standard."

The application relates to the field of antenna testing and discloses a Ka phased array antenna thermal vacuum test system, which comprises a vacuum cabin body, a test tool for carrying a phased array antenna to be tested, a multi-scale power injection array installed in the vacuum cabin body and used for non-contact injection of controllable microwave energy to the phased array antenna to be tested so as to simulate dynamic thermal load inside the phased array antenna to be tested, a sparse holographic measurement array installed in the vacuum cabin body and statically arranged in a radiation near-field area of the phased array antenna to be tested and used for instantaneous collection of sparse samples of an electromagnetic wave field emitted by the phased array antenna to be tested, and a cooperative control and data processing center connected with the multi-scale power injection array and the sparse holographic measurement array. The multi-scale power injection array can not only simulate a slowly-changing reference thermal load under a task profile, but also superimpose rapid energy disturbance in a specific area, so that high-fidelity simulation of a complex thermal environment of an antenna in orbit is realized.

This invention relates to the field of acyclic or carbocyclic compounds and discloses a method for preparing 6-bromo-2,3-difluorotrifluorotoluene, comprising: dissolving 2,3-difluorotrifluorotoluene in a mixed solvent composed of a polar modifier containing a proton acceptor site and a nonpolar solvent; adding a polyether stabilizer and an iron-based catalyst; and dropwise adding liquid bromine to trigger a directional bromination reaction. The method utilizes the protonated ion-pair complex formed by the in-situ generation of hydrogen bromide and the polar modifier, which, in conjunction with the polyether stabilizer, constructs a sterically hindered shielding structure at positions 4 and 5 of the substrate molecule. This invention forces the electrophilic substitution pathway to be directed towards position 6 of the substrate molecule, overcoming the bottleneck of extremely low positioning accuracy in passivated aromatic ring systems, transforming disordered isomers into a single dominant isomer, thereby reducing separation energy consumption.

This invention provides a standardized preparation method and kit for double-stained transparent specimens of fish skeletons. Orthogonal experiments were designed for fish of different skeleton types (cartilaginous / boneless) and body lengths (small 5-7cm, medium 7-15cm, large 15-25cm), using factors such as KOH concentration and treatment time. Staining effect, transparency, and tissue integrity were used as indicators. Statistical analysis was used to establish an optimal parameter matrix database covering fixation, transparentization, and staining steps. During preparation, the database can be queried based on fish species and body length to obtain differentiated treatment parameters, achieving standardized operation. This invention also provides a kit containing staining stock solution, basic reagents, and a parameter query unit. This invention transforms double-stained skeleton preparation from experience-dependent to data-driven, significantly improving repeatability and success rate, and is suitable for scientific research, teaching, and demonstration.

The application discloses a kind of end side closed-loop full-automatic electrochemiluminescence analysis system, it is related to electrochemiluminescence detection technology, including man-machine interaction and analysis subsystem and electrochemiluminescence signal acquisition subsystem;Man-machine interaction and analysis subsystem and electrochemiluminescence signal acquisition subsystem between establishment has communication connection to execute data interaction;Wherein, man-machine interaction and analysis subsystem in preset automatic detection closed-loop process, for via communication connection to electrochemiluminescence signal acquisition subsystem sends electrochemical excitation control instruction, and the image data generated in the process of electric excitation is collected, then image data is automatically detected and handled, to obtain target luminescence signal intensity.The application further discloses a kind of detection method.The application is through full-automatic detection process control mechanism, realizes the automatic collaborative operation of luminescence process acquisition, electric excitation application, image processing and signal analysis, reduces manual participation, greatly improves processing efficiency.

This invention discloses a self-powered monitoring system for a high-speed magnetic liquid rotary sealing device, relating to the field of monitoring the operating status of high-speed magnetic liquid seals. The system includes a thermoelectric power conversion module, an energy management module, and a monitoring module. The thermoelectric power conversion module captures the frictional waste heat generated by the high-speed magnetic liquid rotary seal during high-speed operation and converts it into electrical energy. The energy management module stores and manages the electrical energy generated by the thermoelectric power conversion module and supplies power to the monitoring module. The monitoring module senses the operating status of the high-speed magnetic liquid sealing device and wirelessly transmits the sensed sealing status information to a terminal for wireless monitoring. The thermoelectric power conversion module includes a cylindrical heat-conducting cylinder, a plurality of heat dissipation fins arranged in an array along the circumferential direction, and a plurality of thermoelectric generators. The heat dissipation fins are disposed on the inner side of the cylindrical heat-conducting cylinder and arranged along the circumferential direction, with a thermoelectric generator sandwiched between each heat dissipation fin and the inner wall of the cylindrical heat-conducting cylinder. This invention can collect the frictional waste heat generated during the operation of a high-speed magnetic liquid rotary sealing device and convert it into electrical energy to power the monitoring system. This eliminates the need for an additional power supply device to monitor the operating status of the high-speed magnetic liquid rotary sealing device, thus solving the energy supply problem for wireless monitoring of the high-speed magnetic liquid sealing device.

The utility model relates to the technical field of bag feeding type vacuum packaging machine, concretely relates to a high -speed bag feeding type vacuum packaging machine, including vacuum packaging machine body, the bottom fixed connection of vacuum packaging machine body has the base, the base top assembly has the conveyer belt, the conveyer belt back fixedly connected with the fixed plate, the base top assembly has the partition device for dividing the packing bag, the partition device includes first rotary lever, first rotary lever rotates and connects in the fixed plate back through bearing, first rotary lever back fixedly connected with extrusion block. The utility model left side baffle lifts (releases packing bag), and the right side baffle drops (forms the partition), keeps perpendicular motion track through the sliding slot and the limiting block, accelerates the baffle sliding, reduces the response delay, avoids the packing bag to drop because of the baffle action lag, and the bilateral baffle alternately lifts, forms the dynamic buffer platform, even if manual is not timely racking, and the packing bag is also temporarily received by the baffle, avoids the free drop.

The application discloses a layered decoupling deterministic idempotent identification generation method and system. The method physically separates the session access stage and the service identification generation stage: the session access stage generates a session access certificate based on non-service attributes to prevent replay attacks; the service identification generation stage only constructs a service unique key based on service parameters and generates an idempotent handle through a deterministic algorithm; a minute boundary double window atomic query and TTL guarantee threshold checking mechanism are adopted to provide a clock drift tolerance of ±30 seconds; and offline verification capability is realized through reverse verification of the server. The application eliminates the long-term bidirectional mapping index of the service key to the identification, and the storage overhead can be reduced by more than 70%, the generation delay can be optimized to less than 1ms, and 100,000 + high-concurrency scenarios per second are supported; 100% cross-node consistency, zero-downtime configuration hot update, financial-grade security salt value rotation and cross-system offline verification capability are provided, and the application can be widely applied to distributed payment, e-commerce transaction and other scenarios.

The utility model discloses a novel agar salt bridge type electrical stimulation cell culture device which comprises a base, a top cover, a salt bridge positioning module and an electrical stimulation module, the top cover is mounted on the base, and a plurality of groups of optical observation windows are arranged on the top cover; each group of salt bridge positioning modules comprises a base and a salt bridge positioning buckle; an adjusting mechanism is arranged between the salt bridge positioning buckle and the base, and the adjusting mechanism is used for adjusting the height of the salt bridge positioning buckle; the electrical stimulation module comprises a PCB (Printed Circuit Board) and a plurality of groups of electrode columns; the PCB is mounted on the top cover; and the electrode column is arranged on the PCB through a threaded connection structure. The novel agar salt bridge type electrical stimulation cell culture device disclosed by the utility model can be matched with a standard commercial cell culture dish for use, the universality is wider, an experimenter can conveniently observe the cell / tissue state in the commercial cell culture dish, and meanwhile, the electric field intensity gradient can be conveniently adjusted.

This invention discloses an adaptive enhancement method and system for low-light video images based on illumination physical priors and frequency domain decoupling. The method includes: constructing a temporal fusion feature tensor; constructing an illumination prior estimation model and inputting the temporal fusion feature tensor into the illumination prior estimation model to obtain a global illumination map; performing frequency domain orthogonal decoupling and differential illumination modulation on the global illumination map to obtain reconstructed enhanced features; performing uncertainty-aware bidirectional temporal feature alignment on the enhanced features to obtain aligned features; using a multi-frame feature aggregation operator with integrated temporal rectification weights to obtain aggregated features, and using a deep high-fidelity reconstruction network to perform nonlinear mapping on the aggregated features, combined with a global residual injection strategy, to obtain the final enhanced video frame, thus completing the adaptive enhancement of low-light video images. This invention significantly improves video brightness while simultaneously considering noise suppression and detail restoration, achieving synergistic optimization of various key indicators.

The application discloses a control bit generation method and device of an inverse butterfly network adopting a dynamic programming strategy, and solves the problem of poor flexibility of the control bit generation method of the inverse butterfly network in the prior art. The method comprises the following steps: obtaining preset data; determining the inverse butterfly network, the number of stages of the inverse butterfly network and the number of switching units in each stage of the inverse butterfly network according to the preset data; obtaining node extraction position information of a plurality of extraction nodes, a plurality of output nodes and a plurality of exclusive or operation results; traversing the inverse butterfly network, and calculating the switching position information corresponding to the plurality of extraction nodes in each stage; determining the exclusive or operation result corresponding to the extraction node; judging whether the exclusive or operation result is equal to a judgment value, if yes, setting the control bit of the switching unit position corresponding to the exclusive or operation result to 1, and saving the control bit in a control bit storage list; and the flexibility of generating the corresponding control bit algorithm of the inverse butterfly network according to the extraction demand is realized, and the efficiency is improved.

This invention discloses a starting control method, system, equipment, aircraft, and medium for a propeller-driven aircraft piston engine, relating to the field of aero-engine control technology. The method includes: performing a power-on self-test before starting, checking the minimum propeller blade angle, throttle opening, and fuel pressure; after the self-test, the flight control computer automatically and adaptively controls the starting throttle opening and target starting speed based on altitude and atmospheric static temperature; during starting, status monitoring is performed, towing the engine to a state capable of ignition and fuel injection control; after successful starting, the lubricating oil temperature is determined to automatically set the corresponding throttle opening and warm-up speed; finally, a dual ignition system check and pre-flight condition checks are performed. This invention achieves fully closed-loop adaptive control, effectively overcoming starting difficulties in complex environments such as high altitudes and frigid conditions, eliminating the hidden dangers of starting with defects, and significantly improving the timeliness of the aircraft's maneuverability and operational safety.

The embodiment of the application discloses a kind of amusement facilities control method, device, equipment and medium based on voiceprint identification, method includes if receiving from the visitor voiceprint information collected by voiceprint analyzer, judge whether visitor voiceprint information satisfies preset operator voiceprint identification condition;Send voiceprint collection instruction to voiceprint receiver to obtain the voiceprint information collected by voiceprint receiver;Operator level analysis is carried out to voiceprint information to obtain voiceprint analysis information;Judge whether voiceprint analysis information satisfies the personnel identification analysis condition in the preset identity analysis rule;Judge whether visitor voiceprint information satisfies the command type identification analysis condition in identity analysis rule;According to the corresponding authority personnel scheduling instruction of amusement facilities distributed control strategy information is generated and sent to equipment coordination control component.The method embodiment solves the problem of poor safety of the existing amusement facility control system multilevel distributed facility control.

This invention discloses a recurrent neural network physical architecture based on artificial surface plasmon supercells, relating to the interdisciplinary fields of metamaterials, surface plasmons, and brain-like computing. The architecture consists of multiple identical planar network layers stacked sequentially in the vertical direction. Each layer includes a dielectric substrate (1), an SSPP supercell array (2), a bi-line divider (3), and a combiner (4). The SSPP supercell array is connected to inter-layer feedback links via vias. Its output is divided into an output path and a feedback path by a bi-line divider. The feedback path integrates an RF amplifier (5) for gain compensation and transmits the signal across layers to the combiner in the next layer for vector superposition with the new input signal. This architecture integrates temporal feature extraction, nonlinear modulation, and recursive computation, possessing ultra-high-speed parallel processing capabilities, and can effectively realize deep fusion and associative decision-making of multimodal information based on the nonlinear coherence effect of SSPP waves.

The present application relates to a kind of three position grinding wheel of adjustable thickness, belong to grinding wheel field.It includes: lower grinding mechanism and upper grinding mechanism, the lower grinding mechanism and the upper grinding mechanism axial sliding connection, the lower grinding mechanism and the upper grinding mechanism circumferential transmission connection.The lower grinding mechanism and the upper grinding mechanism of the present application axial sliding connection, it is favorable to adjust grinding wheel grinding thickness, compared with several grinding wheel processing schemes in background art, save the time of replacing grinding wheel or replacing washer to adjust the axial position of multiple grinding wheels, shorten processing cycle, improve production efficiency, eliminate the dependence on multiple specifications grinding wheel, reduce the procurement cost of grinding wheel, inventory management cost and replacement spare parts downtime loss, reduce the comprehensive use cost of user.

This invention relates to a method for adaptive selection of CPU and GPU paths for JPEG decoding based on runtime performance measurement, belonging to the field of heterogeneous computing technology. The method includes pre-measuring the performance of a heterogeneous platform consisting of a CPU, GPU, and the PCIe bus connecting the CPUs to obtain the average time the CPU spends computing a single DCT block, the effective bidirectional bandwidth of the PCIe bus, and the fixed startup overhead of the GPU task; online measurement to obtain the actual computation time of the GPU executing a single DCT block; the CPU performs entropy decoding on the input JPEG image to obtain _DCT blocks; the CPU predicts the total time based on N and _, and the GPU predicts the total time based on _, _, and _; based on the CPU's predicted total time and the GPU's predicted total time, the method adaptively selects either the CPU path or the GPU path to decode _DCT blocks; if the GPU path is selected, when the current operating frequency of the GPU exceeds a preset threshold, the method updates the frequency in real time based on the current operating frequency of the GPU. This achieves adaptive selection of CPU or GPU for JPEG image decoding.

The utility model provides a control box and apply its fire pump, including base and the upper cover of buckling in base, control box still includes the joint block, the side surface of base is equipped with fixed base, the joint block moves and establishes in fixed base, fixed base has set up the mounting groove, the end of joint block is folded and forms the joint part, the upper cover is equipped with the connecting seat corresponding with fixed base, connecting seat has set up the connecting hole, when the upper cover buckling in base, the joint part is connected in the connecting hole. The joint block moves and sets up on the fixed base, and the operator only needs to manually operate the joint block to complete the locking and release of the upper cover, when locking, the joint part is connected in the connecting hole, when releasing, the joint part separates from the connecting hole under the rotation of the joint block, in this scheme, the joint of joint part and connecting hole replaces the traditional screw connection, eliminates the dependence on screwdriver and other special tools, can realize the quick unscrambling in the fault scene, greatly shortens the fault diagnosis and emergency repair time.

The present application relates to the technical field of power supply or distribution circuit device of power system, disclose a kind of distribution circuit self-reset state control system based on thermal parameter feedback, comprising: thermal parameter acquisition module, for obtaining the physical heat dissipation temperature sequence after the supply node is tripped;Historical load mapping module is used to calculate the transient temperature rise estimate according to the load characteristic data within 24 hours before tripping, generate the dynamic correction of heat dissipation slope determination boundary;Logic arbitration module is used to calculate the heat dissipation slope deviation of double window sampling sequence, and determine whether the deviation converges to the heat dissipation slope determination boundary updated according to dynamic correction;Operation execution module is used to drive distribution circuit closing reset, the present application is through the closed-loop arbitration mechanism of heat dissipation characteristic slope, identifies physical heat dissipation steady-state inflection point, eliminates the misoperation risk caused by environmental thermal resistance drift and closing inrush current impact, and guarantees power continuity.

This invention discloses an automatic generation method for "interactive product experience videos" that integrates virtual and real elements, belonging to the field of virtual-real content generation technology. The method includes receiving a live-action video stream of a product, a 3D model of the product, and a user interaction definition script; analyzing the video stream to extract the spatial orientation of the product and ambient lighting information from key shots; rendering and generating a sequence of virtual model images seamlessly integrated with the live-action footage, which are then aligned and merged to form a basic video stream. The script is parsed to obtain interactive trigger events and associated feedback animations, which are then anchored to specified positions in the video and activated at specific times. When a matching interactive input is detected, the feedback animation is triggered at the corresponding time point and dynamically synthesized with the basic video stream, ultimately outputting an interactive experience video containing real-time interactive effects. This invention enables the automatic generation of high-quality, interactive virtual-real integrated product display content from ordinary videos.

This invention belongs to the field of furniture technology and discloses a terminal device control method, apparatus, and storage medium based on furniture posture. The furniture is connected to the terminal device, and the terminal device control method based on furniture posture includes: acquiring furniture posture change data; determining control commands for the terminal device based on the posture change data; and controlling the terminal device according to the control commands. This achieves seamless and natural contactless interaction, effectively eliminating reliance on additional wearable devices and related privacy concerns, increasing user acceptance, and realizing a deep and seamless integration of intelligent interaction with the everyday home environment.

This invention relates to the field of locomotive shunting safety technology, and discloses a dynamic verification system for shunting safety based on multi-source sensing and interlocking logic. The system includes: a positioning subsystem that collects real-time location information of personnel and locomotives via positioning terminals and modules and transmits it to the central control system; an equipment status sensing subsystem that deploys status acquisition units at key nodes to acquire and upload the physical status of anti-runaway devices, derailment devices, switches, and level crossings in real time; a central control system that stores shunting coupler plans and the expected status of track-related equipment and vehicle sets, and a built-in interlocking comparison module that verifies the consistency between the received physical status and the expected status to generate a comparison result; and a spatial relationship model established based on the personnel and vehicle positions, combined with the comparison result to generate linkage control commands, which are then sent to the ground signal execution unit to perform safety protection operations. This invention can improve the overall safety of the shunting safety protection system.

The application discloses a high-precision low-power CORDIC algorithm and device, the high-precision low-power CORDIC algorithm comprises the following steps: mapping input angle to a preset angle interval to obtain a corresponding mapping angle and a mapping relationship; determining an iteration demarcation point according to a set output bit width; for large-angle rotation before the iteration demarcation point, an intermediate coordinate value is directly obtained by querying a pre-stored lookup table; for small-angle rotation after the iteration demarcation point, an interval merging iteration method is adopted, a plurality of continuous iterations are merged into one combined operation, and after at least one iteration merging operation, a final coordinate value corresponding to the mapping angle is obtained; and based on the mapping relationship, the final coordinate value is corrected to obtain a sine value and a cosine value corresponding to the original input angle. The application realizes comprehensive and significant improvement in calculation accuracy, power consumption and operation speed.

The application discloses a kind of simulation experiment teaching system of Dalin algorithm based on Proteus in the technical field of computer control technology simulation teaching, and the application successfully constructs complete algorithm hardware closed loop link by integrating pulse signal generation, deviation operation, A / D and D / A conversion, parameter-adjustable controlled circuit and microcontroller operation logic, and using virtual oscilloscope as unified observation window;Eliminate the dependence on entity hardware and host computer, reduce the deployment threshold and equipment cost of system, give learners independent practice conditions without site restrictions;Intuitive and transparent oscilloscope observation mechanism improves the analytical efficiency of closed-loop control signal flow;Through flexible simulation of the diversification of industrial field controlled condition and even abnormal delay state, it provides direct and safe verification environment for exploring the parameter setting and ring elimination of Dalin algorithm, and shows excellent adaptability and application value in engineering education and bottom-level control algorithm development.