18results about How to "Guarantee fairness" patented technology

This invention relates to the field of game anti-cheating technology, specifically to an AI-driven system for identifying and transmitting images of game violations. The system first aggregates authoritative game data on the server side, calculates the balance deviation score of attack attempts, filters high-risk triggering events, and limits the evidence collection time window and pixel acquisition area. Next, it extracts legitimate semantic summaries from the game engine rendering chain, generates a predictive structure mask, and identifies semantically uninterpretable illegal overlays by comparing pixel-level differences. Finally, it integrates risk-graded transmitted evidence, and the server completes consistency verification through a homogeneous process. This invention does not rely on the appearance characteristics of cheats, significantly reduces computing power and bandwidth consumption, and provides a complete and auditable evidence chain.

The invention discloses a general atomic cross-chain switching method for relieving abort attacks. The invention provides a ShieldSwap scheme for solving the problem that an existing signature-based cross-chain switching scheme is prone to being subjected to abort attacks of participants, and consequently asset locking or switching fails. The method is characterized by comprising the following steps of: firstly, designing a reverse freezing mechanism, and inhibiting an attack motivation of an aborting party by enabling the assets of the aborting party to face longer locking time; secondly, recombining a working process, and completing all signature commitment steps under a chain to avoid an early-stage on-chain locking risk; and finally, a fair completion mechanism is adopted to ensure that the two parties can independently generate final exchange signatures after the assets are frozen. The method is based on general primitives such as adapter signature and verifiable discrete logarithmic time, does not depend on a script function of a specific chain, has high security and strong universality, can effectively guarantee atomicity and fairness of cross-chain exchange, and is suitable for decentralized asset exchange scenes among various block chains.

The invention particularly relates to an online self-adaptive zero compensation method for a flow sensor. The method comprises the steps of obtaining an original output signal of a flow sensor and an environment parameter group; based on the original output signal, the environment parameter group and a preset multi-parameter joint judgment condition, a zero-flow state interval is obtained; constructing a zero drift model; marking a drift observation value and a target environment parameter, and calculating to obtain a group of real-time parameter estimation values of a zero drift model based on the drift observation value and the target environment parameter; acquiring historical model parameters of the zero drift model, and performing model fusion based on the real-time parameter estimation value and the historical model parameters to complete smooth updating of the zero drift model; and compensating a real-time output signal of the flow sensor by using the zero drift model after parameter updating. According to the method, accurate recognition and automatic zero point correction of the flow sensor on the real zero flow state under the working condition of no flow interruption are achieved, and the long-term zero point stability and the full-life-cycle measurement precision of the flow sensor are remarkably improved.

The application discloses a simulation fire extinguishing device and relates to the technical field of fire fighting training. The simulation fire extinguishing device is characterized in that when the screw rod rotates, the fixed cylinder can limit the synchronous rotation of the adjusting block with the screw rod, then the adjusting block is driven to stably move upwards along the axial direction through the screw thread on the outer side of the middle part of the screw rod, at this time, the upper end of the compression spring is limited from moving by the connecting plate, and is gradually compressed with the upward movement of the adjusting block, the elastic reaction force generated by the compression spring acts on the adjusting block, drives the screw rod to move downwards along the axial direction as a whole, pulls the first connecting rod to be close to the connecting plate, and increases the clamping force of the connecting plate and the first connecting rod on the damping ring.

This invention relates to the field of sampling machine technology, specifically to an intelligent sampling machine with anti-clogging function. It includes a load platform on which a carrier frame and a grain pump are mounted; a moving slide slidably connected to the carrier frame; a motor fixed to the carrier frame; a first reciprocating drive mechanism driven by the motor, used to drive the moving slide to alternately reciprocate on the carrier frame with a first stroke and a second stroke, the first stroke and the second stroke having different lengths; an upper vibration frame and a lower vibration frame, both slidably connected to the moving slide; a second reciprocating drive mechanism, driven by the motor, rotatably mounted on the moving slide, used to drive the upper and lower vibration frames to alternately reciprocate on the moving slide with a third stroke and a fourth stroke, synchronously but in opposite directions, the third stroke and the fourth stroke having different lengths; and a rotating sleeve. The beneficial effect of this invention is that it constructs a multi-dimensional, dead-angle-free anti-clogging system.

The invention discloses intelligent material recycling equipment and a working method thereof, and belongs to the field of material recycling. According to the technical scheme, the intelligent material recycling equipment comprises a cabinet body, a delivery opening and an operation panel are arranged on the outer surface of the cabinet body, and a pretreatment assembly is arranged on the side wall in the cabinet body. The technical scheme has the beneficial effects that the pre-pressing plate and the spikes of the pre-treatment assembly are used for carrying out first-time extrusion and hole breaking on input waste products, internal liquid is effectively discharged, and the size is preliminarily reduced; the weighing assembly is matched with the overflow sensor, so that accurate acquisition of weight data and real-time monitoring of the capacity in the barrel are ensured, and the fairness and the automation level of recycling transaction are improved; the compression mechanism drives a pressing plate to conduct compression through a multi-linear module, the effective capacity of the recycling bin is greatly increased, and the transportation frequency and cost are reduced; the components work cooperatively, so that high efficiency, accuracy, safety and sanitation of the recycling process are achieved jointly, and the intelligent degree of material recycling and the space utilization efficiency are improved.

The application discloses a kind of based on computer vision's intelligent playing card dispensing device and method.The device includes computer vision identification module, mechanical card turning mechanism, automatic shuffling mechanism, intelligent dispensing mechanism and man-machine interaction module.The computer vision identification module is automatically judged playing card front and back by camera and image processing algorithm;The mechanical card turning mechanism is turned into back up with face up playing card;The automatic shuffling mechanism adopts cut card type shuffling, supports fixed or random shuffling times;The intelligent dispensing mechanism is equipped with rotatable card outlet, and can be sequentially distributed to 2-6 players from the specified player in clockwise / anticlockwise direction;The device supports three sets of 162 playing cards at most.The application solves the problems of uncontrollable card face direction, insufficient shuffling randomness and inaccurate dispensing rule execution in manual dispensing, and realizes the full-process automation of playing card processing.

The invention discloses a block chain distributed reputation evaluation method and system for Internet of Things computing equipment. The method comprises the following steps: acquiring declarative computing power information of the computing equipment, and the calculated amount and the maximum allowable completion time delay of a to-be-scheduled computing task; calculating expected execution time based on the declarative computing power information and the calculation amount of the to-be-scheduled calculation task; calculating an execution deviation rate and a time delay default degree; calculating the reputation variation of a single task based on the execution deviation rate and the delay default degree; the reputation value of the equipment is updated in an exponential smoothing mode; in a recent number of task execution windows, calculating the computing power fulfillment proportion and behavior inconsistency degree of the equipment; and judging malicious equipment according to the updated reputation value, the computing power fulfillment proportion of the equipment and the behavior inconsistency degree, and carrying out scheduling control. According to the method, combined modeling is performed on the equipment declaration computing power, the task execution result and the time deviation, so that dynamic updating of equipment reputation and effective identification of malicious behaviors are realized.

The invention relates to the technical field of federated learning and block chains, in particular to a federated learning incentive method and system based on two-stage commitment and a block chain. According to the technical scheme, the federal learning excitation method based on the two-stage commitment and the block chain comprises the following steps: a reputation evaluation step: dividing interaction behaviors of a client into three conditions of positive interaction, negative interaction and uncertain interaction according to a deviation degree between each round of uploading model updating and a global updating direction of the client, the reputation value of the client is calculated by adopting a subjective logic-based Bayesian reasoning method, and the influence of long-term interaction on the reputation is weakened by introducing a time decay mechanism. By introducing the block chain and the dual-stage commitment mechanism, it is ensured that the server cannot deduct the deserved rewards of the client without being found, the publicity, transparency and fairness of the incentive process are ensured, and the trust of each participant is maintained.

The invention relates to the technical field of data processing, in particular to an intelligent collection and compensation measuring and calculating method based on multi-source heterogeneous data fusion, which comprises the following steps: cutting and extracting house data according to house compensation requirements, house characteristics, location characteristics and historical compensation data, and determining a multi-source fused house characteristic sequence; based on retrieval entities of the house feature sequence in each feature dimension, constructing a house topology tree according to an association relationship of the retrieval entities; performing feature expansion on each branch node of a house topological tree based on house topological transformation of house data retrieval times, judging the branch nodes separated during each round of retrieval, and determining compensation weights of the branch nodes during each round of retrieval; determining a priority sequence under each round of compensation according to the time dimension of retrieval by aiming at the compensation weight of the branch node during each round of retrieval; and based on the priority sequence under each round of compensation, performing regular matching on the priority sequence, and configuring a compensation strategy. And the pertinence and the processing efficiency of house compensation calculation are improved.

The invention discloses an inter-core mutual exclusion method, an inter-core communication method, an inter-core interruption method and a terminal.The inter-core mutual exclusion method comprises the steps that a task is responded to initiate a resource access request, a priority label of the task is identified, and the task priority is determined according to the priority label; for the priority processing task, the priority processing task obtains a hardware spin lock through a preset instruction, and if the hardware spin lock obtaining operation is completed within a preset period, the hardware spin lock is obtained within a first preset delay time, and a watchdog timer is started; for the real-time / best effort processing task, the real-time / best effort processing task enters an MCS linked list queuing lock, a thread corresponding to the real-time / best effort processing task performs variable spinning in a local memory, the MCS linked list queuing lock is obtained within second preset delay time, and a watchdog timer is started; and during the lock holding period, the watchdog continuously monitors, and if the lock holding time exceeds a preset multiple of the worst task execution time, the lock is forcibly released and an alarm is given. According to the inter-core mutual exclusion method, an MCS linked list queuing lock is adopted to replace a traditional spin lock when tasks are processed in real time or as much as possible, disordered competitive self-rotation is converted into FIFO queue waiting, a precursor node only spins locally and actively notifies a subsequent node, the problems of bus cache consistency storm and hunger are thoroughly solved, and fairness and predictable delay of multi-core access are guaranteed.

The invention relates to the technical field of data management, and discloses a block chain-based village digital security management and control method and system, and the method comprises the steps: carrying out the structural analysis of original village data of a target region, generating standardized village transaction data, and packaging the standardized village transaction data into candidate blocks; after consensus verification is completed through a block chain network consensus node, a verification result is subjected to uplink storage, and an evidence storage transaction hash value is generated; and according to the data transaction type, calling an on-chain smart contract matching decision rule base, dynamically generating a digital voting proposal in combination with the villager digital identity permission list, pushing the digital voting proposal to a villager account with the corresponding permission, and receiving a voting instruction signed by a private key. And finally verifying the validity of the voting signature through an intelligent contract, counting valid tickets to form a summary record, and executing preset chain operation of a corresponding transaction type after judgment of an effective threshold value. According to the invention, the digital safety management and control efficiency of the villages in the target area can be improved.

The application discloses a kind of integrated ball marker intelligent data management methods of bluetooth communication, it is related to data management technical field.The application is completed with the same group of equipment networking by BLE5.4 star type Mesh, and the main node is elected by device beacon frame and weighted scoring method, and the reliable transmission of networking is guaranteed by TDMA time slot allocation and AES-128 encryption;Intelligent ball marker is collected data by three-axis sensor, and five types of action recognition are completed by layered TCN-GRU end side lightweight AI algorithm and output structured multi-modal data;In turn, first-level source data filtering, second-level federal cross-checking, third-level global compliance checking are completed in ball marker local, mobile terminal main node, cloud server respectively;After checking, the least square multi-node cross algorithm is solved by UWB ranging and cross algorithm to solve the coordinates of falling ball;Cloud is based on compliance data matching and generates score card, and is issued to mobile terminal and ball marker in two-way, and archives full amount data.The application realizes the intelligent data management of golf ball marker whole process, and has wide application value.

This invention discloses an individual identification method and system based on whole-genome single nucleotide polymorphism (SNP) data, belonging to the field of forensic genetics technology. The specific steps are as follows: obtaining the intersection SNP sites of the sample pairs to be identified, constructing a linkage-equilibrium SNP site set; evaluating the individual identification ability of the linkage-equilibrium SNP site set based on a power evaluation index, generating an optimal SNP site set; under the set mutual exclusion hypothesis, calculating the probability value of each optimal SNP site based on the population genotype frequency and the prior genotyping error rate, and calculating the total likelihood ratio based on the probability values ​​of each optimal SNP site; selecting a supporting hypothesis or hypothesis based on the relationship between the total likelihood ratio and a preset threshold. This invention, by introducing a semi-continuous likelihood ratio calculation model that integrates the genotyping error rate, can scientifically handle and explain the unavoidable genotyping errors in whole-genome sequencing data.

A method for improving the vessel loading rate through dynamic draft control includes the following steps: establishing a dynamic draft control model for the lock based on the relationship between water level and flow rate, lock operating conditions, vessel passage scheduling rules, and constraints on vessel draft control requirements; collecting the planned discharge flow from the lock's downstream channel and inputting it into the dynamic draft control model to calculate the downstream channel depth variation process; collecting vessel passage declaration information and determining the vessel passage plan based on the downstream channel depth variation process and lock operation plan compilation rules. This invention establishes a dynamic draft control model for the lock, scientifically grasps the channel depth variation pattern, and, while ensuring navigation safety, reasonably improves the vessel loading rate, further enhancing the lock's throughput capacity.

The invention relates to the field of mobile edge computing, and discloses an unmanned aerial vehicle assisted asynchronous federated learning online scheduling method and system based on convergence perception. The method comprises the following steps: establishing a system model and defining model obsolessness; constructing a convergence cost penalty function containing data isomerism and old degree influence on the basis of theoretical derivation; under the condition that energy budget and bandwidth constraints are met, a joint optimization problem with the goal of minimizing long-term convergence cost is established; constructing a virtual queue by using a Lyapunov optimization technology, and converting a long-term problem into a single-slot deterministic optimization sub-problem; and finally, a deep reinforcement learning algorithm based on an encoder-decoder structure is adopted to solve a flight position and a client selection strategy online. The system comprises various modules and computing equipment which are configured to execute the steps of the method. According to the method, model deviation caused by asynchronous updating can be effectively relieved, and the convergence speed and precision of the model are remarkably improved in an energy-limited environment.

The embodiment of the invention provides a nursing monitoring method and device, equipment and a storage medium, and particularly discloses the steps that nursing image data generated in the nursing process are acquired, and the nursing image data comprise nursing video data and nursing audio data; performing frame extraction processing on the nursing video data to obtain multiple frames of images arranged according to a time sequence, inputting the multiple frames of images into a pre-trained multi-modal large model, and receiving a first recognition result output by the multi-modal large model; converting the nursing audio data into text data, inputting the text data into a pre-trained large language model, and receiving a second recognition result output by the large language model; the second recognition result is obtained after the large language model performs text analysis on the text data according to a preset nursing specification; and obtaining a nursing monitoring result corresponding to the nursing image data according to the first identification result and the second identification result.

The application relates to the technical field of game design, and provides a compatibility interactive design method for realizing fair play of the sighted and the blind, which comprises the following steps: constructing a layered decoupling architecture, the layered decoupling architecture comprising an interactive protocol layer, an adaptive execution layer and a game logic layer, under the premise of not modifying the game core logic, realizing fair and compatible interaction of the sighted and the blind in the same interface and the same rule through a sighted and blind consistent interactive protocol, a dynamic selection and combination feedback channel, a non-visual scene perception system of scene construction through sound and a sighted and blind bimodal touch gesture recognition method. The application converts the highly visual interactive touch screen into an operating system which can be completely perceived through touch and hearing, and realizes barrier-free access of digital products.