22results about How to "Improve fairness" patented technology

This invention discloses a dynamic adaptation method for organic agricultural product consumption scenarios based on multimodal perception. The method is executed by an edge server in the exhibition hall and includes: receiving a display collaboration request sent by a mobile terminal; determining a target video based on the source identifier of the streaming media content and product information; determining whether multiple public display terminals are available; and if a first public display terminal is determined to be available, sending the target video to the first public display terminal for playback and sending the terminal identifier of the first public display terminal to the mobile terminal to notify the user of the first public display terminal. This invention can improve the collaborative display efficiency between mobile streaming media content and public display resources in organic agricultural product exhibition halls and enhance the dynamic adaptation effect in agricultural product consumption scenarios.

This invention discloses a method and system for optimizing community bus service zones and sub-zone routes based on connection resistance, comprising the following steps: S1, constructing a main model for community shuttle bus service zones based on finite center-subordination rules to obtain the service sub-zone allocation scheme for community shuttle bus stops; S2, for each service sub-zone, constructing a sub-model for optimizing community shuttle bus service routes based on bus service impedance index to obtain shuttle bus service route schemes for each sub-zone connecting to public transportation hubs, determining whether the minimum service standard for shuttle buses is met by checking the connection resistance; for all sub-zones that fail the connection resistance test, adding the corresponding sub-zone partitioning constraint set to the main problem, and returning to S1 to resolve the main model until all shuttle bus route schemes for each sub-zone pass the test. This invention, through connection resistance testing, makes the designed community shuttle bus connection routes more competitive in service compared to shared bicycle travel.

The invention discloses a cross-data center RDMA network congestion control method and device based on in-band telemetering, and belongs to the technical field of network transmission control. The method comprises the following steps: sending a first cross-data center flow to an upstream DCI switch at an initial rate; according to a Switch-INT message returned by an upstream DCI switch, a first fair rate is calculated, a second cross-data center flow is sent to the upstream DCI switch at the first fair rate, an ACK message of a downstream data center responding to the first cross-data center flow is obtained, and the ACK message comprises a suggested rate; and generating a final rate in combination with the first fair rate and the suggested rate, and sending a third cross-data center flow to an upstream DCI switch at the final rate. According to the method, the network sensing capability of the cross-data center flow can be improved, the fairness of the flow in the data center and the cross-data center flow is improved, and the transmission delay of the datagram is optimized.

This invention discloses a trusted auditing method for the operation and maintenance of an points mall based on a blockchain distributed ledger, comprising the following steps: Step 1: Monitoring the operation event flow in the points mall, collecting points operation behavior data, and parsing the event types; Step 2: Using an improved SHA-256 hash algorithm to form a points operation behavior evidence record; Step 3: Constructing an operation behavior graph based on the points operation behavior evidence record; Step 4: Performing numerical processing to generate behavior representation vectors; Step 5: Performing feature analysis, extracting explicit risk factors, and forming a risk score; Step 6: Generating interpretable audit records for operation paths exceeding a preset risk threshold, and performing digest compression; Step 7: Writing the structured audit evidence data into the blockchain ledger and performing manual review. This invention integrates on-chain evidence storage and behavior scoring mechanisms to achieve trusted auditing and risk control supervision throughout the entire points operation process.

This invention relates to the field of data evaluation technology, and discloses a multi-source mapping data fusion evaluation method and system for agricultural insurance. The method includes: acquiring images of a target planting area before and after the snowmelt period; extracting the reflectance difference of the snow spectrum of each plot unit in the images under shaded and unshaded conditions to obtain the change in snow cover rate of the plot unit per unit time; identifying accelerated ablation blocks in the target planting area based on the change in snow cover rate; and constructing a snowmelt runoff catchment tree based on the topological connection between the water runoff direction of the slope where the accelerated ablation block is located and the downstream plots; based on the snowmelt runoff catchment tree, this invention can solve the problems of existing technologies having ambiguity in determining the range of runoff scour caused by snowmelt, lacking a nighttime temperature correction mechanism for runoff freezing, and having large deviations between simulated snowmelt flow and actual conditions.

The application discloses a GPU-based multi-client real-time spectrum monitoring system and a method thereof, and belongs to the technical field of spectrum analysis.The method comprises the following steps: acquiring the spectrum state, behavior information, host state and service quality requirement of a client; calculating the interference intensity coefficient, behavior state coefficient, host state coefficient and service quality coefficient of the client through a corresponding model; dynamically allocating the computing power of each client by using a power distribution model based on the above coefficients; and finally outputting the target refresh rate of each client by a refresh rate optimization model in combination with the allocated power and service quality coefficient.The application solves the problem that the resource allocation in the prior art is rigid and cannot adapt to the differentiated requirements of multi-clients by multi-dimensional state sensing and modeling, realizes intelligent, dynamic and efficient allocation of system computing resources, guarantees the service quality of multi-services, and improves the overall energy efficiency and stability of the system.

This application provides an operation processing method, apparatus, device, and readable storage medium. In the technical solution provided by this application, a dual-level processing mechanism of message level and point level is constructed. At the message level, permission conflict detection based on user identity is introduced to effectively prevent non-creator users from accidentally deleting or tampering with other people's content, thus achieving fine-grained operation isolation. At the point level, conflict detection is pushed down to the smallest data unit coordinate point. By comparing the point position sets of the current operation and the historical operation, the spatial overlapping area is accurately identified, and the operation type corresponding to the current operation message is combined to dynamically determine whether execution is allowed, ensuring that the operation result is certain and predictable. This achieves hierarchical deterministic operation conflict processing, improving the smoothness and user experience of the online collaborative whiteboard system.

The application discloses a mahjong machine with a control lighting lamp, and belongs to the technical field of mahjong machines, and has the technical scheme as follows: the mahjong machine comprises a mahjong machine main body, irradiation lamp strips are rotationally arranged on four sides of the mahjong machine main body, placing areas for placing mahjong hands are arranged on the four sides of the mahjong machine main body, the light beams of the irradiation lamp strips are obliquely shot from bottom to top to the mahjong hands in the corresponding placing areas, a controller is arranged on the mahjong machine main body, human body sensing modules are arranged on the four sides of the mahjong machine main body, the human body sensing modules are electrically connected with the controller, the controller is electrically connected with the irradiation lamp strips, when the human body sensing modules sense a human body, the controller controls the corresponding irradiation lamp strip to be turned on, and the four sides of the mahjong machine main body are provided with adjusting knobs for adjusting the brightness of the corresponding irradiation lamp strips, the mahjong machine forms effective light zones on the mahjong hands through the irradiation lamp strips, the recognition of the mahjong hands by users is enhanced, and the use experience is improved.

The application discloses a method for constructing a MAC protocol of a UAV network, a transmission process of data packets with different priorities is modeled by a finite state Markov chain, and a cross-level priority promotion mechanism based on failure counting is introduced. The method aims to solve the problem of long-term blocking of low-priority services caused by traditional fixed-priority protocols in post-disaster emergency communication scenarios, thereby improving the overall throughput, reducing the average delay, and enhancing the fairness among multiple types of services while ensuring the strict service quality of high-priority services.

The application relates to an industrial park-oriented carbon-energy collaborative management method, system, device and medium, which comprises the following steps: obtaining and preprocessing multi-source carbon-energy data of an industrial park to obtain a carbon-energy data set; constructing a park carbon-energy flow hypergraph model based on the carbon-energy data set to depict the correlation between energy flow and carbon emission flow among multiple subjects in the park; extracting carbon-energy evaluation indexes of each subject, calculating a comprehensive score value by using a comprehensive scoring model of the fusion of an analytic hierarchy process and an entropy weight method, determining a carbon quota allocation coefficient, and realizing reasonable allocation of the carbon quota; identifying output subjects and demand subjects of waste heat and surplus energy based on the carbon-energy flow hypergraph model, determining a waste heat and surplus energy sharing path and a sharing amount, and generating a waste heat and surplus energy sharing transaction scheme; and performing carbon-energy collaborative management on multiple subjects in the park according to the carbon quota allocation result and the waste heat and surplus energy sharing transaction scheme and generating a management report. The application has the effect of improving the collaborative efficiency of carbon-energy management of multiple subjects in the industrial park.

The application discloses a spoken language evaluation system and method based on multiple dimensions, and relates to the technical field of data processing.The system comprises the following steps: obtaining audio text, a phoneme list and a phoneme time boundary list corresponding to speech data according to a pre-trained text phoneme recognition model; calculating a fluency score according to the phoneme list and the phoneme time boundary list; obtaining a semantic score of the audio text through a pre-trained semantic model; obtaining a syntax score of the audio text through a pre-trained syntax model; matching the audio text and an answer text according to a text matching method based on an edit distance to obtain a text matching score; obtaining a pronunciation score of the audio data finally through phoneme confidence of the phoneme list; dynamically adjusting the weight of each dimension score according to the length of the audio text, and calculating a final spoken language evaluation score; and the application comprehensively evaluates the spoken language ability through multi-dimensional evaluation and dynamic weight adjustment according to the scene, and realizes the comprehensiveness, fairness, accuracy and high efficiency of the spoken language evaluation.

This invention provides a user incentive and points management method and system for carbon emission reduction behavior, relating to the field of carbon emission reduction behavior management technology. The method includes: acquiring the user's original trajectory information in the target travel behavior, and simultaneously collecting corresponding environmental feature data and equipment motion status data; performing segmentation processing; performing anomaly identification processing on each trajectory segment; performing segment consistency reconstruction processing on trajectory segments containing anomaly segment markers; performing travel mileage calculation processing to obtain the user's actual travel mileage in the target travel behavior, and generating corresponding carbon emission reduction data; performing points generation processing based on the carbon emission reduction data, converting the carbon emission reduction data into user points records; and mapping user points to a preset incentive resource pool to generate incentive resource availability data. This invention improves the autonomy and accuracy of carbon emission reduction behavior management.

This invention discloses a method for calibrating emission permits under fuel composition fluctuations. The invention relates to the field of industrial furnace and kiln pollutant emission control technology and includes the following steps: 1) Data acquisition step: During the operation of the industrial furnace and kiln, the actual elemental composition data of the currently used fuel is collected in real time or periodically through a deployed fuel composition monitoring device. This emission permit calibration method under fuel composition fluctuations establishes a closed-loop feedback mechanism between real-time fuel composition monitoring and dynamic calibration factors, transforming the traditional static accounting system into a dynamic calibration system capable of responding to changes in fuel characteristics. This method dynamically corrects the baseline flue gas volume and performance value based on actual elemental composition data, solving the problem of inaccurate calculations in fixed parameter systems when fuel composition fluctuates, and effectively improving the accuracy and reliability of emission permit calculations.

The application discloses a gradient and precision self-adaptive weighted federated learning fairness optimization method and system. In view of the problems of uneven model performance distribution among clients and large communication overhead of traditional federated learning in a heterogeneous environment, an information amount weighting mechanism is constructed based on the training accuracy and participation frequency of the clients on the server side, the aggregation weight of the clients is dynamically determined, the aggregation weight is used for weighted aggregation of the client gradient, the adaptive weighting of the client gradient is realized, and the performance fairness is improved. Meanwhile, the global quantization precision is adaptively adjusted according to the global loss change in the training process, and the corresponding local quantization precision is distributed according to the client aggregation weight, so that the communication overhead is reduced under the premise of ensuring the model performance. The application realizes the joint optimization of federated learning fairness and communication compression, can effectively alleviate the uneven performance problem among the clients, and improves the communication efficiency of the federated learning system.

This application discloses a method, apparatus, equipment, medium, and product for evaluating the effectiveness of transportation and tourism services, relating to the field of intelligent transportation technology. The method includes: acquiring data on first transportation stations, first tourist attractions, and first road network in a target area under a first scenario, and data on second transportation stations, second tourist attractions, and second road network in a second scenario; determining the number of first transportation stations, the proportion of first transfer stations, and a first accessibility index based on the data under the first scenario, and determining the number of second transportation stations, the proportion of second transfer stations, and a second accessibility index based on the data under the second scenario; and determining the effectiveness evaluation result based on the number of first transportation stations, the proportion of first transfer stations, the number of second transportation stations, the proportion of second transfer stations, the first accessibility index, and the second accessibility index. This method can achieve accurate evaluation of the effectiveness of transportation and tourism services.

The present application relates to the technical field of data processing, and more particularly to a standardized management method, device and equipment and storage medium, which gets rid of the subjective limitations of traditional manual on-site inspection, realizes objective quantification and accurate determination of compliance audit through the combination of a clear multi-step data preprocessing process and a specific algorithm, and ensures the sustainability, traceability and reproducibility of standardized management with the help of a hierarchical classification periodic reminder mechanism and a full-dimensional data management library; the method not only solves the core technical problems such as lack of standard landing monitoring, isolated execution, low efficiency, subjective and fuzzy audit results and the like in the existing management mode, but also significantly reduces the labor cost and time cost of standardized management through process optimization and algorithm empowerment, effectively shortens the single batch audit time, improves the accuracy of the audit results, and improves the fairness and accuracy of the audit results, providing systematic technical support for brand image standardization and operation efficiency optimization.

This application discloses a text similarity recognition method, a text reading detection method, and related apparatus. The method involves acquiring an audio recording of a user reading aloud, and the corresponding reference text; recognizing the audio to obtain the corresponding recognized text; extracting features from both the reference and recognized texts to obtain letter sequence feature information for both the reference and recognized texts; and performing text similarity recognition based on these letter sequence feature information to obtain the similarity information between the reference and recognized texts. This application reduces resource dependence and complexity in text similarity recognition, improves efficiency, and simplifies the process. It also detects whether the user's audio reading meets requirements, improving the accuracy and fairness of oral assessment and effectively evaluating learners' learning attitudes and actual learning outcomes.

This invention discloses a distributed large model token counting method based on trace linking, relating to the field of large model management technology. The method involves collecting token consumption data from the previous day's data via a distributed cloud large model server, uploading this data to Kafka, and receiving and parsing the token consumption data from Kafka via a large model management center. Data from different nodes is integrated based on the trace ID to form complete request chain data. Following a hierarchical and domain-based approach, the large model management center stores user token consumption data in object storage. Finally, based on business needs, the large model management center displays relevant statistical data of message chains within a filtered region.

This invention relates to the field of real-time resource scheduling technology, specifically a real-time scheduling method for lane control robots based on multi-dimensional sensor data. The method includes: dividing management areas for arrival and drop-off robots; acquiring multimodal sensor data from the management areas, extracting features, and fusing them using a self-attention mechanism to obtain a fused feature vector; obtaining a drop-off scenario complexity score and a departure intention score through a drop-off scenario evaluation model; simultaneously calculating the real-time resource occupancy index for each lane; calculating differentiated allowed dwell time based on the drop-off scenario complexity score and the overall resource occupancy status of the drop-off platform; and providing early warnings and management based on the drop-off scenario complexity score, departure intention score, real-time resource occupancy index, differentiated allowed dwell time, and empty space detection results. This invention improves flexible decision-making capabilities and resource utilization, and is suitable for real-time resource allocation and decision support in complex traffic scenarios.

The application introduces a kind of tobacco monopoly administrative punishment case file intelligent evaluation system based on multi-modal evidence chain analysis, aiming at solving the deficiencies of the prior art in the aspects of evidence chain time sequence analysis, multi-modal evidence comprehensive judgment and legal application accuracy. The system integrates optical character recognition (OCR), natural language processing (NLP) technology to automatically extract key information in the case file materials, and constructs a time sequence evidence graph to detect evidence missing and logical conflicts. The legal knowledge graph module dynamically stores and updates tobacco monopoly laws and regulations clauses, ensuring that the case facts can be accurately mapped to specific legal clauses. By adopting the three-layer architecture design of "evidence graph + rule engine + knowledge graph", the application realizes the comprehensive judgment of multi-modal evidence, greatly improves the efficiency and accuracy of case file evaluation, reduces the subjectivity and error rate of manual evaluation, and provides strong technical support for tobacco monopoly administrative punishment.

A method and apparatus for transmitting and receiving data in a wireless LAN system are disclosed. The method according to an embodiment of the disclosure can include the steps of transmitting, by a first apparatus, a PPDU to a second apparatus to allow data transmission of the second apparatus within a TXOP obtained by the first apparatus, and performing channel access after the TXOP is terminated by the first apparatus.

This application belongs to the field of educational informatization technology, specifically disclosing an intelligent evaluation method, device, equipment, and storage medium for classroom teacher-student interaction. Through this application, verbal interaction features of teachers and students in the classroom are determined based on recognition results; non-verbal interaction features are determined based on detection results; a quantitative matrix of classroom interaction is generated based on the verbal and non-verbal interaction features, and a classroom interaction feature tensor is constructed based on the quantitative matrix; intelligent evaluation of classroom teacher-student interaction is performed based on the classroom interaction feature tensor using a target tensor clustering model. By using the above method, the verbal and non-verbal interaction features of teachers and students in the classroom are determined based on the teaching video to be evaluated, and then intelligent evaluation is performed based on a target tensor clustering model that can reveal high-dimensional interaction relationships while maintaining the integrity of the data structure, thereby effectively improving the accuracy and fairness of evaluating teacher-student interaction.