41results about How to "Ensure fairness" patented technology

The invention discloses a Fluent-based numerical simulation and experimental design method for shaking of liquid in a tank of a tank truck, and belongs to the technical field of numerical simulation of fluid dynamics (CFD). The method includes the steps that the hole opening position of the wave-proof plate serves as an independent variable, multiple hole opening position schemes are designed, liquid shaking related indexes are determined to serve as dependent variables, a geometric model is established according to the actual structure of a tank truck tank body, a fluid mechanics model and boundary conditions are set, a solver is configured, output parameters and numerical simulation initial values are set, and an experiment is executed. The liquid shaking process of a certain swash plate trepanning scheme is simulated, acting force data, namely shaking index data, between liquid shaking and the inner wall of the tank body is recorded, the advantages and disadvantages of each trepanning position scheme are evaluated based on the shaking index data, and the optimal scheme is determined. According to the method, a real object experiment is replaced by CFD numerical simulation, parameter setting is carried out, the experiment cost and the experiment risk are remarkably reduced, the experiment efficiency is improved, and data support can be provided for industry design.

This invention relates to the field of satellite communications and addresses the problem of low resource utilization caused by existing hopping beam technology, which only considers the resource allocation of a single satellite and intra-satellite co-channel interference. The method analyzes intra-satellite and inter-satellite interference between two LEO satellites, sets cell weight priorities, and adaptively allocates power based on these priorities to obtain a cell power allocation matrix. Using the average traffic satisfaction of the cell as the optimization objective, the method first considers intra-satellite interference by designing the hopping beam pattern for a single LEO satellite, obtaining the time allocation matrix for each satellite throughout the hopping beam period. Secondly, considering inter-satellite interference, the method rearranges the obtained time allocation matrix using a heuristic algorithm to obtain the final required time slot scheduling matrix. This achieves the avoidance of intra-satellite and inter-satellite interference, significantly improving system throughput while ensuring fairness in user service.

The application discloses a kind of based on big model's exclusive team performance portrait generation and intelligent evaluation system, belong to artificial intelligence and performance management technical field.The system includes data acquisition module, index system management module, performance calculation engine module, portrait generation module, big model intelligent analysis module and visual display module.Index system adopts four-level structure, including six first-level indexes, twenty-four second-level indexes, fifty-eight third-level indexes and a number of fourth-level indexes.Performance calculation engine is based on difference ratio method to calculate index score, portrait generation module generates radar chart, star rating and ranking, and big model intelligent analysis module is based on big language model to carry out intelligent evaluation and ability analysis.The application realizes the scientificity, intelligentization and visualization of exclusive team performance management, and provides strong support for exclusive team construction decision.

The embodiment of the application discloses a method for realizing automatic measurement of long jump, which comprises the following steps: first, using a video acquisition device to acquire a long jump video; determining a long jump area in the long jump video, wherein the long jump area contains a plurality of calibrated measuring points; determining a to-be-detected person in the long jump video; determining a current state of the to-be-detected person according to a current area and a motion posture of the to-be-detected person; when the to-be-detected person is in a measuring state, acquiring a performance measuring point of the to-be-detected person; and finally, determining a long jump performance of the to-be-detected person according to the performance measuring point and the plurality of calibrated measuring points. The method provides a light, convenient, more accurate and stable long jump measurement technology, which does not need to be measured by manual operation, directly acquires a video to realize self-recognition and determination, thereby obtaining an accurate long jump performance, and can also be played back and viewed for multiple times, thereby effectively ensuring fairness and accuracy of the long jump performance.

The application discloses a lossless and efficient data processing method and network interface card based on RMDA, and belongs to the field of data communication of a data center. When a large-scale QP is concurrent in the RMDA, the efficient scheduling processing problem of different QP requests is solved, the lossless request signal, the out-of-order QP request and the waste-free scheduling period are ensured, the scheduling fairness problem of different QPs is effectively solved in combination with congestion control, the blocking of other QP processing by a large message and the excessive number of requests needing to be processed in a single scheduling are avoided, and the head blocking problem is solved.

The application relates to an OFDMA system resource allocation optimization method based on limited channel state information and belongs to the technical field of wireless communication. The research object of the patent is a single base station multi-user OFDMA downlink transmission system, aims to solve a mixed integer nonlinear programming problem with high coupling of optimization parameters, improve the system throughput under the premise of meeting the user fairness, and propose a joint resource allocation optimization algorithm. Under the premise of ensuring certain user fairness, higher system throughput can be achieved, and the application has a wider application range in actual scenes.

The application discloses a kind of configuration methods of active resources, device, storage medium and computer equipment. Among them, the method comprises: server is set to at least two target position information selected first stage activity, initiates first stage activity to multiple clients, receives the first mark information sent by multiple clients through first stage activity, when reaching the mark deadline time corresponding to first stage activity, the mark result corresponding to first mark information is counted, the mark result corresponding to first mark information is determined according to the resource distribution information that activity resource is respectively configured to at least two target position information, according to resource distribution information, the order information that order is matched from multiple orders as target order with at least two target position information is screened respectively, and the configuration task of activity resource is created for target order. The above-mentioned method effectively improves the utilization rate of activity resource, and reaches the expected effect of the configuration of activity resource.

The application discloses a kind of cloud examination room control method, device, equipment and storage medium, the method includes: determining and the same target test question of pre-set standard test question difficulty and the content different target test question, and target test paper is generated based on the target test question;Monitor the behavior state when examinee answers the target test paper;According to the behavior state, it is judged whether the examinee exists cheating abnormal behavior, and according to the judgment result and the answer condition of the examinee answering the target test paper, control is carried out to cloud examination room.Through the above-mentioned mode, target test question is determined and target test paper is generated based on target test question, the behavior state when examinee answers is detected and it is judged whether there is cheating abnormal behavior, and then according to the judgment result and the answer condition control, compared with the existing examination room control method, the above-mentioned mode can accurately judge the behavior of suspected cheating in examination room, and can generate the test paper of different content and the same difficulty, further ensure the fairness of examination.

The application relates to the technical field of shared charging piles and discloses a data credible transaction method for a shared charging pile system. The method comprises the following steps: a shared charging pile data credible model is constructed; when a charging order is monitored to occur, relevant charging data of a charging control terminal, a blockchain node and a mobile terminal of an electric vehicle owner are loaded into the shared charging pile data credible model; the charging data is divided into N data blocks and a secret key is generated step by step, and the hash value corresponding to each data block is calculated; based on the shared charging data credible model, the charging control terminal and the mobile terminal of the electric vehicle owner generate a charging data credible transaction smart contract, the blockchain node exchanges and verifies the secret key, and bill information is synchronized to other blockchain nodes. The application can guarantee the safety and credibility of charging transaction data of the shared charging pile, the privacy data such as the charging transaction is digitally signed to realize anonymous protection, and the data privacy and integrity during the shared charging process and transaction are guaranteed.

The invention discloses a multi-tenant container cloud-oriented RDMA performance isolation system. A monitoring module comprises an eBPF monitoring program and a global context manager; the control path scheduler is deployed in a user mode library of a tenant and is used for receiving feedback information of the monitoring module and limiting or rejecting the original intonation rate of the control path exceeding a threshold value; and the data path scheduler is used for shaping and scheduling a data path task request issued by the tenant application program so as to control the sequence and the speed of entering the RDMA network card. According to the method, the eBPF monitoring program is adopted to monitor the original intonation frequency of the control paths of all tenants and the resource use condition of the RDMA network card, and millisecond-level response to RDMA control path operation is achieved. Meanwhile, a dynamic task segmentation mechanism based on active delay is adopted, and RDMA network card resource occupation of different tenants is balanced; and fairness is ensured based on a scheduling strategy of admission control.

This invention relates to the field of concurrent data processing technology in embedded operating systems, and particularly to a hierarchical fair spinlock control method based on queue distance awareness. The method includes the following steps: the processor initiates a mutual exclusion access request for shared resources; reads the idle / available flag stored in the lock; if the flag is valid, the processor directly acquires the lock through an atomic comparison and exchange operation; if the flag is invalid, the processor atomically increments the pending ticket number stored in the lock to generate a ticket number held by the processor; reads the current service ticket number stored in the lock, and calculates the difference between the processor-held ticket number and the current service ticket number to obtain the queue offset. This invention, while maintaining the fairness and determinism of spinlocks, enables safe execution in various modes including tasks, interrupts, and exceptions, while reducing cache consistency overhead in multi-core concurrent scenarios, improving lock scalability, and providing lock state detection capabilities.

The invention discloses a big data platform resource processing method and equipment in a multi-tenant environment, mainly relates to the technical field of resource processing, and is used for solving the problem that a conventional resource allocation method mostly adopts static quota or a simple oversale strategy; and the method is difficult to adapt to complex scenes with dynamic and changeable business of the tenants and obvious resource demand difference. Comprising the steps that platform resources distribute a basic quota for each tenant, and the remaining platform resources serve as a shared resource pool; calculating a historical fairness score according to the matching degree between the actual resource utilization rate of the tenant in the preset time period and the basic quota; calculating a total score of the tenants based on the business priority, the historical fairness score and the resource contribution degree; according to the descending order of the total scores of the tenants, determining the order of obtaining the elastic quotas from the shared resource pool; and determining a specific resource scheduling strategy of the tenant about the basic quota and the elastic quota according to the service scene.

The present application relates to the technical field of park energy data management, and particularly relates to a zero-carbon smart park comprehensive energy method and system based on big data, wherein the method comprises the following steps: S1, generating a carbon equity unit record; S2, establishing a corresponding source summary for each carbon equity unit; S3, writing the identification information corresponding to the transferred carbon equity unit into the restriction identification set corresponding to the first node; S4, generating a merged source summary; inheriting the source summary before splitting; S5, performing backflow risk verification based on the source summary attached to the to-be-transferred carbon equity unit and the identification information in the restriction identification set; S6, using the registration result for comprehensive energy scheduling and carbon accounting; the method effectively avoids the loss of source information and the risk of repeated offsetting caused by merging and splitting, and facilitates linkage with comprehensive energy scheduling and carbon accounting, thereby improving the real-time performance, implementability and system autonomy of zero-carbon smart park carbon equity management.

The application relates to a reinforcement learning congestion control method based on time series modeling of a Transformer, and belongs to the technical fields of communication networks and artificial intelligence, and comprises the following specific steps: step 1: network simulation is performed at an NS3 end to generate simulated network data; step 2: the generated simulated network data is sent to a simulated TCP-RL protocol, the TCP-RL protocol simulates the sending of data packets, delay, packet loss and the return of ACK; step 3: a congestion control RL environment at a python end; the simulated network data sent by the NS3 end is received, is converted into observation data and is sent to a reinforcement learning intelligent agent; step 4: the reinforcement learning intelligent agent at the python end analyzes the received observation data, forms a history sequence, dynamically pays attention to the real-time situation of data sending and returns the congestion control result of analysis and decision to the simulation network environment of the NS3 end as an action in reinforcement learning. The application can make the congestion control effect more optimal and more stable compared with a traditional algorithm.

The application discloses a fair personalized recommendation method and device based on mutual information decoupling and a storage medium, and steps of the method comprise the following steps: 1. constructing original data, including a user-product rating matrix and a user sensitive attribute matrix; 2. constructing a sensitive embedding network to learn sensitive embedding of a user and a product, including a biased one-hot encoding layer, a sensitive information encoder and a sensitive attribute prediction layer; 3. constructing a hybrid embedding network to learn hybrid embedding of the user and the product, including a hybrid one-hot encoding layer, a hybrid information encoder and a preference prediction layer; and 4. constructing a non-sensitive embedding network to learn non-sensitive embedding of the user and the product, including an unbiased one-hot encoding layer, a mutual information lower bound optimization layer and a mutual information upper bound optimization layer. Through the double mutual information fairness constraints on the embedding vectors, the application improves the fairness of the recommendation system while ensuring the recommendation accuracy.

This invention relates to a detection method and system for controlling charging piles, relating to the field of charging piles. The method includes: in response to activation information upon installation completion, acquiring detection distance information and determining the installation scenario based on the detection distance information, the installation scenario including indoor and outdoor scenarios; acquiring environmental information and user physical characteristics within a preset detection range based on the installation scenario; analyzing the user physical characteristics based on weighted feature fusion judgment rules to determine user characteristics within a preset usage range; judging the user characteristics using a preset judgment method to determine the user type; matching a control strategy based on the user type; establishing an environmental model using the environmental information within the detection range, and generating dynamic adjustment parameters based on the environmental model; and adjusting and controlling the charging pile according to the control strategy and using the real-time dynamic adjustment parameters. This application has the effect of improving the safety of charging pile use.

The utility model provides a kind of card face reconstruction device of competitive egg smashing contest, comprising: table mat, screen, playing cards, two displays, data processor and movable window board, screen is vertically arranged on the table mat, screen has a hollow accommodating space, a window is equipped in the center below screen, the size of movable window board is slightly greater than window, and movable window board is movably arranged in accommodating space and at least has two states of shielding window and opening window, table mat is equipped with the card area, located in the two sides of window, the card area is equipped with identification module, playing cards are equipped with readable label, the readable label of playing cards is equipped with identification ID, identification ID is bound with the card face information of card.The card area of the utility model can automatically identify card face information and transmit it to display through data processor, avoid the risk of illegal information transmission between teammates, increase the fairness of competition.

The application relates to a parking attendant performance evaluation method for a smart parking management system and belongs to the technical field of parking management. In the method, the historical difference value between the historical payment time and the corresponding historical departure time in all historical parking payment orders is calculated, a time difference data set composed of all the historical difference values is input into a statistical analysis model for time distribution analysis, a time evaluation window with different correlation strengths with the parking attendant is generated according to the output distribution inflection point and a preset business logic, a corresponding weight coefficient is allocated to each time evaluation window through a dynamic weight calculator, the current difference value between the order payment time and the vehicle departure time in all parking performance attribution records of the parking attendant is matched with the time evaluation window, so that the weight coefficient corresponding to each parking performance attribution record is obtained, and the performance evaluation result of the parking attendant is generated in combination with multidimensional indexes. The application guarantees the fairness of the performance evaluation of the parking attendant and improves the working enthusiasm of the parking attendant.

The application provides a low-orbit satellite NOMA-OTFS system power distribution joint signal detection method for user fairness, which encapsulates a signal detection process as a fitness function in power distribution optimization under a total transmission power constraint, realizes collaborative design of power distribution and signal detection through construction of a closed-loop optimization mechanism based on detection feedback, and solves the problems of mutual independence of power distribution and signal detection, difficulty in giving consideration to user fairness and system capacity, and high resource consumption of a detection process in the prior art. Through introduction of an optimization mechanism based on a detection result, power distribution can be directly adjusted according to actual detection performance, thereby effectively improving weak user communication quality, enhancing system fairness, reducing calculation complexity, and improving overall system transmission performance.

This application discloses a frequency-modulated timing test system and method for sprint events, including a wireless starter, an infrared finish line detection device, a central control unit, and a display device. The infrared finish line detection device is fixedly installed at the finish line of the track, while the central control unit and display device are fixedly installed at the referee's stand. Each of the wireless starter, infrared finish line detection device, central control unit, and display device is equipped with a 2.4G wireless communication module and a 433M wireless communication module. During communication, when the number of communication failures due to interference in any frequency band reaches a preset threshold, the system automatically switches to another frequency band for retransmission, thereby effectively avoiding interference, significantly reducing the probability of communication failure, ensuring the real-time and reliable delivery of key commands, and thus guaranteeing the accuracy of timing and the fairness of the test.

The utility model discloses a device for insects to actively eat plant branches, which relates to the technical field of insect feeding experiment equipment and comprises an insect cage, an insect feeding device, an insect feeding device, an insect feeding device and an insect feeding device, and is characterized in that the insect cage is provided with an insect inlet, and experimental insects enter the insect cage from the insect inlet; a plurality of plant cages are arranged, each plant cage is communicated with the insect cage through a communicating pipe, the lengths of the communicating pipes are kept consistent in the experiment process, plant holes are formed in the lower ends of the plant cages, and to-be-observed plant branches can penetrate into the plant cages from the plant holes; the supporting device is installed at the lower end of the insect cage, and the supporting device is used for supporting the insect cage. The device can be used for observing the reaction of experimental insects to different observed plant branches, and can ensure that the distances from the experimental insects to the observed plant branches are the same.

The application provides a hierarchical collaborative optimization and settlement method for large-scale industrial demand response, relates to the technical field of power systems, and comprises the following steps: dividing large-scale industrial demand response resources into multiple levels and constructing an optimization model; decomposing a global optimization problem into local sub-problems, defining consistent variable constraints for global consistency, and generating scheduling instructions through iterative calculation; obtaining actual response data in response to the scheduling instructions, performing hash operation and digital signature processing on the actual response data to generate a signed digest; verifying the signed digest by using a smart contract, executing real-time settlement after verification to obtain real-time settlement data, and summarizing to obtain periodic settlement data; calculating performance indicators according to the scheduling instructions and the actual response data, and performing numerical correction on the real-time settlement data and the periodic settlement data by using the performance indicators to obtain adjusted settlement data. The application realizes fast scheduling and convergence of large-scale resources, and effectively improves the enthusiasm and fairness of users participating in scheduling.

The application relates to a shared energy storage power distribution method and system based on AGC scheduling instructions, and the distribution method comprises the following steps: according to the AGC scheduling instructions, the abandoned power of each new energy power station participating in the shared energy storage transaction is calculated; according to the abandoned power and the market transaction power of each new energy power station, the total energy storage charging power of all new energy power stations participating in the shared energy storage transaction at different moments is calculated; and the energy storage charging power of each new energy power station participating in the shared energy storage transaction at different moments is calculated according to the total energy storage charging power, so that the conversion and distribution of the shared energy storage transaction result from power to power are realized.

The application discloses a game external plug-in prevention method and device, equipment and storage medium, and relates to the technical field of computer games. The method comprises the following steps: in the case of receiving a game starting request, reading a first code file of a login program in a page entry directory, and reading a second code file of a main program in a resource directory; based on a preset first key, the first code file is obfuscated and decrypted to obtain a first decrypted code, and the login program is run based on the first decrypted code; the second code file is restructured and obfuscated and decrypted by the login program and the first key to obtain a second decrypted code, and the main program is run based on the second decrypted code. Through the above technical means, the problem that the encrypted game source code is easy to be cracked in the prior art can be solved, the difficulty of cracking the game source code is increased, the cost of interpreting and cracking the game source code is increased, the success rate of making external plug-ins is reduced, and thus the invasion of external plug-ins into games is prevented, and the fairness of games is greatly ensured.

The application discloses a design method of adaptive time slot scheduling based on software definition, and relates to the field of industrial internet of things. An adaptive time slot scheduling system based on software definition is designed; a superframe length is set; production data of the current time is transmitted to a resource control layer by a production device through the superframe; production data to be allocated at the next time and priorities thereof are acquired; the resource control layer predicts the number of time slots required by the production data to be allocated at the next time of the production device according to the production data of the current time by using a time slot prediction algorithm; the resource control layer generates a time slot allocation scheduling scheme according to the predicted number of time slots, and issues the time slot allocation scheduling scheme to the superframe; the superframe issues the time slot allocation scheduling scheme to the production device, and the production device performs the current round of communication according to the time slot scheduling scheme. The application solves the problems of allocating time slots depending on production experience, being unable to scientifically and reasonably allocate communication resources, and low communication efficiency in an industrial production site.

The invention discloses a resource adaptive peak shifting scheduling method, a control system, a medium and a product, and the method comprises the steps: periodically collecting real-time resource occupancy data of a plurality of operation tasks on a calculation node, and determining a resource pressure gradient vector according to the real-time resource occupancy data at a first / second collection moment; merging the resource pressure gradient vectors of the plurality of operation tasks into a resource pressure gradient matrix of the computational nodes; on the basis of the resource pressure gradient matrix, calculating resource competition coefficients among the plurality of operation tasks to construct an operation task correlation matrix; performing eigenvalue decomposition on the running task correlation matrix to obtain a maximum eigenvalue and a corresponding eigenvector; if the maximum characteristic value exceeds a preset competition threshold value, dividing the plurality of operation tasks into a keeping group and a to-be-adjusted group according to the characteristic vector; and according to the maximum characteristic value, a preset competition threshold value and a preset adjustment coefficient, calculating the time peak shifting quantity of each task in the to-be-adjusted group, and injecting the time peak shifting quantity into each task in the to-be-adjusted group.

The utility model discloses a game device, including game table body and support frame, game table body sets up on support frame, game table body includes high end and low end, wherein, the end far from user is high end, and the end close to user is low end, game table body still includes game table top and game star disc, game table top includes control area, hand line, scoring area, hand line sets up between control area and scoring area, at least one game star disc sets up in scoring area, and game table top is inclined plane or curved surface. Through the table body structure of no frame and the inclined plane or curved surface game table top, increase the difficulty and the entertainment of game, through setting up the game star disc into the separate of the fender and the scoring board can effectively avoid the interference of the projectile through the impact fender to other players on the scoring board score, ensure the fairness of the game, set up the buffer structure on the scoring board, the fender, the elbow table and the frame, can effectively reduce the rebound force and the jump of the projectile, ensure the safety of the game.

The invention discloses a vision-based rope skipping rope-free empty jump detection method, which comprises the following steps of: arranging a camera above a rope skipping test area to acquire a rope skipping video, and acquiring 19 key point coordinates of a tester by a human body key point identification model based on YOLO framework training; calculating a wrist position score through the shoulder-wrist vector, and judging whether the wrist position is normal or not; constructing a human body center line by a shoulder and hip connecting line, and calculating left and right wrist symmetry scores; an arm posture plane is constructed through shoulder-elbow-wrist three points, and an upper limb posture score is calculated; the null jump score of each rope skipping action is calculated by integrating the wrist position, the symmetry, the upper limb postures and the time sequence shaking characteristics; and counting the number of suspected null jumps and the proportion, and when the number and the proportion exceed a preset threshold value, determining that cordless null jumps exist and outputting an alarm. The method can accurately identify the rope-free empty jump behavior in the rope skipping test, improves the fairness and accuracy of the sports test, and is suitable for the scenes of school sports examination, physical fitness test and the like.

The application relates to a kind of implementation methods of verifiable Internet of Things device data asset transaction, based on the data seller, blockchain and data buyer involved in Internet of Things data asset transaction system, the process for realizing verifiable data asset transaction is as follows: data seller publishes encrypted data on blockchain through smart contract, data buyer requests data according to needs and submits verification request.Smart contract is responsible for verifying the integrity and authenticity of data, and transmits decryption key to data buyer after verification.The data buyer decrypts the data using the key and completes the transaction.If the buyer finds that the decrypted data is abnormal, the smart contract is called to initiate arbitration.Through the confusion encryption mode, RSA accumulator technology, hash verification mechanism and on-chain arbitration mechanism, these attack behaviors are effectively resisted, and the privacy, integrity and verifiability of data transaction are ensured.

The application relates to the technical field of knowledge base generation, and particularly discloses an education knowledge base content generation method and system based on AI big data. The method comprises the following steps: comparing user answer content with answer information to obtain a matching degree, calibrating positive samples and negative samples to train an evaluation model, and determining a reference standard score according to the quantity relationship between the positive samples and the negative samples; based on the reference standard score and a tolerance threshold, a plurality of candidate knowledge contents are screened to calibrate them as stable knowledge contents or to-be-corrected knowledge contents, and are output. By constructing an evaluation system based on user real answer data and an evaluation standard reflecting the actual application effect of the knowledge content, and automatically calibrating the evaluation standard according to the data distribution, objective screening and continuous iteration of the knowledge content are realized, and the accuracy and reliability of the knowledge base content are improved.