5645 results about "Operations research" patented technology

The invention discloses a method for analyzing a matching degree between a demand and an output result based on text semantics. The method comprises the following steps: step 1, labeling a data set; step 2, technical document preprocessing; 3, training and predicting a single-parameter model; 4, integrating prediction results of the multi-parameter model; the method has the beneficial effects thatthe method is simple; deep learning and the NLP technology are applied to the field of project association degree calculation of enterprise project management for the first time. Calculating an association matching degree between the two projects according to project requirements and result description; the associated project positioning difficulty is effectively reduced; meanwhile, the demand side can be helped to quickly and efficiently locate high-quality projects adapting to the demand of the demand side; time and resource investment for achievement screening and matching are greatly reduced, the association matching degree between projects is calculated by means of text data of existing project achievement technical documents and project declaration guidelines, and then large enterprises are assisted in screening high-quality projects with the high matching degree in the project bidding and tendering link.

This disclosure proposes a shift-based employee scheduling method and related apparatus. The shift-based employee scheduling method includes: acquiring task information and inter-task conflict information; acquiring employee information; acquiring shift information; constructing an integer programming model by setting constraints and an objective function, the constraints including a first constraint requiring that conflicting tasks assigned to each shift can be executed, the objective function being based on multiple objectives; solving the integer programming model using the acquired information to determine the correspondence between employees and shifts and between tasks and shifts, and decoding the correspondence between employees and tasks from the employee-shift and task-shift correspondence information, thereby scheduling employees.

A route calculation method, device, and system. The route calculation method includes: receiving, by a first device, a service request message, where the service request message is used to request the first device to determine a transmission path of a borne service requested by the service request message to be established; and determining, by the first device, a transmission path of the service based on the service request message and first bearing capability information, where the first bearing capability information is used to indicate an actual bearing capability of each link on the transmission path. According to the foregoing solution, the system can calculate a route and configure the service based on an actual service bearing capability of each link of a network.

The application relates to the technical field of ground network communication, and provides a timing advance reporting method and device, wherein a terminal device generates an information unit according to an estimated timing advance, and sends the information unit to a non-ground network device; the information unit comprises a first characteristic field and a second characteristic field; the first characteristic field comprises data of a first dimension; and the second characteristic field comprises data of a second dimension. According to the application, the data of different dimensions is determined according to the timing advance, the reporting accuracy of the timing advance is improved, and the optimization design requirement of the non-ground network device is met.

A control section is a control section that controls combined printing of a plurality of documents and includes: a first setting processing section configured to set, in regard to a first setting item, which is a setting item included in a first category, from among a plurality of setting items defining content of processing to be performed on the documents, a setting value of the first setting item of any one document from among the plurality of documents for the first setting item of each of the plurality of documents; and a second setting processing section configured to set, in regard to a second setting item, which is a setting item included in a second category that is different from the first category, from among the plurality of setting items, a default value of the second setting item for the second setting item of each of the plurality of documents.

The application discloses a logistics distribution path optimization and dynamic scheduling method and system based on artificial intelligence, relates to the technical field of logistics distribution, and comprises the following steps: collecting real-time data, processing the collected data, and obtaining a data set for path optimization and scheduling; constructing a logistics distribution path optimization model, calculating an optimal distribution path; and dynamically scheduling distribution vehicles and adjusting in real time according to real-time traffic and demand changes. The application adopts real-time feedback data to realize dynamic path optimization, continuously collects traffic, weather, vehicle state and cargo temperature and humidity data in the distribution process, and adjusts the path in real time. Various factors are comprehensively considered to improve the accuracy of path scoring and the distribution efficiency. Through calculation of the urgency of an order and the characteristics of goods, the dynamic scheduling system of the application can intelligently adjust the priority of the order, and is suitable for various environmental conditions.

Methods, apparatuses, system, devices, and computer program products for automating asset trading based on composite AI-generated data is disclosed that includes a controller receiving from a user, investor-specified risk parameters and portfolio criteria for a portfolio; retrieving from an entity database, composite AI-generated data; based on scoring preferences of the user, utilizing, the scoring data to select from the plurality of entity profiles, a first set of entity profiles corresponding to candidate assets that satisfy the investor-specified risk parameters and the portfolio criteria; for each asset associated with an entity profile in the first set of entity profiles, determining based on the investor-specified risk parameters and the portfolio criteria, an asset allocation for the portfolio; and transmitting instructions to one or more trade fulfillment backends to perform one or more trades in accordance with the determined asset allocations.

The application belongs to the technical field of business intelligence evaluation, and specifically provides a service provider SLA evaluation dynamic business model implementation method and system. The method mainly comprises: obtaining SLA evaluation source data of a service provider, wherein the SLA evaluation source data comprises operator SLA data, enterprise end-to-end APM data, third-party network quality data and dependent link probe data between service providers; taking the service provider as a node, setting a credibility weight for each node according to a preset rule, determining a directed edge between nodes according to a preset dependent relationship between service providers, and determining a connection weight of the directed edge according to the dependent link probe data. The application realizes dynamic and accurate evaluation under multi-dimensional data fusion, improves the objectivity and credibility of SLA achievement rate evaluation results, and provides reliable decision support for enterprise screening of cloud service providers and optimization of service deployment.

The application relates to the cross field of water conservancy and hydropower engineering and emergency management information technology, and discloses a watershed emergency decision-making method based on a space-time graph and multiple agents, which comprises the following steps: constructing and real-time updating a space-time knowledge graph; the space-time knowledge graph is expressed through a quadruple; monitoring a disaster event; driving an agent to cooperatively schedule a task according to the disaster event; generating multiple optimal schemes based on the space-time knowledge graph; visualizing simulation deduction of the optimal schemes to determine an optimal scheme, and real-time monitoring and feedback during execution to form a decision-making closed loop; in the process of visualizing simulation deduction, a scheduling instruction of the optimal scheme and hydrological boundary conditions are received to perform flood numerical simulation; the evolution process of the flood is reproduced in a three-dimensional scene to evaluate the effect of the optimal scheme, and the optimal scheme is determined with the aid of the evaluation. According to the above technical scheme, the accuracy of spatial influence, the economy of resource allocation and the timeliness of response action can be considered in generating an emergency scheme.

The application belongs to the technical field of Internet, and relates to a marriage and dating method and system based on relationship management and independent life cycle constraint, which comprises the following steps: unified state coding and initialization, many-to-many relationship establishment and seat allocation, independent life cycle timing and dynamic constraint management, two-way threshold automatic confirmation and state migration, dynamic seat supplement and system closed-loop management, when the relationship is terminated due to expiration or active termination, the seats of both parties are released through an atomic transaction and the global state is updated, a mixed recommendation formula containing a cosine similarity, a Pearson correlation coefficient and an activity factor is used to generate and push new matching objects for the released seat users, and system parameters are dynamically adjusted through monitoring indicators to realize adaptive optimization. The matching efficiency can be significantly improved, the psychological pressure of users can be reduced, the fairness and timeliness of relationship development can be ensured, high automation and low manual intervention can be realized, and high scalability and adaptability are achieved.

1. The name of the design product: mobile cash register (MP2). 2. The use of the design product: this model has the functions of two-dimensional code recognition, bar code scanning, network interconnection, receipt printing, mobile office, NFC, etc., and is applied to the ordering and cashing business of clothing stores, large supermarkets, restaurants, tea chain stores, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application provides a charging demand dynamic prediction method and system applied to a charging station, which comprises the following steps: collecting the available capacity of the charging station and the state attributes and road network traffic resistance of vehicles on the way in the surrounding road network; according to the vehicle state and the traffic resistance, the dynamic mapping delay of each vehicle on the way to the station is calculated, and a plurality of demand aggregation peaks are generated by fitting on the future time axis; the peak separation margin between adjacent peaks is calculated in real time, and when the margin is lower than a threshold, a plurality of time sequence price adjustment gradients are generated, and the target price adjustment gradient that makes the margin return to a safe level is screened out through iterative simulation, and the peak reshaping track before and after the price adjustment is displayed on the terminal to guide the station to dynamically guide the flow. The application solves the technical problem that the prediction method based on historical data cannot capture and respond to the instantaneous charging demand fluctuation caused by real-time traffic flow.

The application discloses a government affair data processing method and device and electronic equipment. The method comprises the following steps: receiving government affair data input by a user; in the case that the government affair data comprises a question sequence corresponding to a government affair analysis scene and a government affair data table, determining a classification result corresponding to the question sequence, and extracting target feature data in the government affair data table, wherein the target feature data only comprises a file table header of the government affair data table and standardized data of a preset data volume; determining a query result corresponding to the target feature data, and determining a government affair analysis result corresponding to the government affair data according to the query result and the classification result of the question sequence. The application solves the technical problem that the data processing efficiency of the government affair scene is poor due to the fact that the intelligent government affair system in the related art has resource and privacy risks in data processing, and cannot effectively process table data exceeding the token length limit.

The application relates to the technical field of virtual training, and provides a simulation data analysis method and system for virtual training of first aid personnel, which is applied to a simulation server and comprises the following steps: obtaining target information and first aid information of the first aid personnel on a target virtual patient; the first aid information comprises original time stamps of each first aid event in multiple first aid events and transmission delay time lengths of each first aid event; for a target first aid event in the multiple first aid events, original time stamps of the target first aid event and transmission delay time lengths of the target first aid event are determined according to the target information, the original time stamps of the target first aid event and the transmission delay time lengths of the target first aid event; the target first aid event is any one of the multiple first aid events; the adjusted time stamps of the multiple first aid events are arranged in chronological order to obtain training process data of virtual training of the first aid personnel. The simulation data analysis timing accuracy of virtual training of the first aid personnel can be improved.

A network node in a first wireless communications network is provided. The network node comprises a receiver, a processor, and a transmitter. The receiver is configured to receive application guidance in a route selection policy rule determination from an application function in a second wireless communications network. The processor is configured to construct a route selection policy rule using the application guidance, the route selection policy rule including an application descriptor and a route selection descriptor comprising network identification information, the network identification information identifying the second wireless communications network, and the route selection policy rule defining a route for application traffic when the user equipment device is registered in the second wireless communications network. The transmitter is configured to transmit the route selection policy rule to the user equipment device.

This application discloses a method, device, computer-readable storage medium, electronic device, and computer program product for managing virtual rights. The method includes: responding to a member's performance request to issue a first virtual right to a target object; determining a first valid period for the first virtual right on the target object and a second valid period for a second virtual right already held by the target object; and, if the first and second valid periods overlap and the first end time of the first valid period is later than the second end time of the second valid period, determining the target period as a third valid period for the first sub-right; and issuing the first sub-right to the target object according to the third valid period. Thus, this application resolves the conflict between the effectiveness of old and new similar rights, achieves a natural connection between old and new similar rights, and thereby realizes effective management of different virtual rights.

The present application relates to a kind of microgrid optimization scheduling method and system combining double-layer game and A3C, comprising the following steps: constructing source-grid-load-storage integrated microgrid model;With the total income of maximum microgrid operation as the goal, combined with the operation constraints of microgrid, the constraints of different external environmental conditions factors on the on-site renewable energy power output, power constraint and microgrid power supply and demand balance constraint, establish the microgrid optimization scheduling model based on A3C;Extract state space feedback from environment, make pricing decision through upper Stackelberg game, as the leader of large power grid, the decision of microgrid as follower obtains current power purchase and V2G usage, updates price signal;Solve the trained microgrid scheduling model, obtain the strategy output by lower reinforcement learning at current time step.The present application has the advantages of realizing dynamic price signal closed-loop linkage, suppressing early convergence through adaptive exploration, etc.

A search unit performs a search process. In the search process, a first process and a second process are iteratively performed. The first process is a process of selecting a change-target state variable from a plurality of state variables included in an evaluation function, based on the amounts of change in the value of the evaluation function caused by updating the values of the individual state variables and a first function that is a function representing a selection criterion for the change-target state variable according to the amounts of change. The second process is a process of updating the value of the selected change-target state variable. A control unit switches the function used by the search unit in the search process to a second function different from the first function.

The application discloses a kind of mine electricity coupling multi-stage collaborative progressive scheduling method and system, constructs the process network model of ore flow and power flow coupling, abstracts "node-connector" structure and "push-pull" interactive mechanism;According to the multi-stage collaborative progressive scheduling framework of "week before-day before-intra-day", a multi-time scale optimal scheduling model is established;Prioritize the controllable load in the multi-time scale optimal scheduling model, form a multi-round hierarchical load flexible control strategy for the ore mining and dressing process;Based on the multi-time scale optimal scheduling model, generate week before plan, day before plan;Through real-time simulation system, the multi-stage collaborative progressive scheduling strategy is verified.The application establishes mine electricity collaborative progressive scheduling method, realizes the effective connection of multi-time scale and real-time closed-loop control and "mine determines electricity-mine electricity interaction-electricity adjusts production" whole-chain collaborative optimization, effectively improves the stability and economy of mine operation.

This application discloses an operation control method, apparatus, medium, and equipment for pumped storage power stations. The method includes: obtaining the usage willingness of each bidding entity for each pumped storage power station, the usage willingness being determined based on the load information and renewable energy output information of each bidding entity; determining the equity parameters of each bidding entity using each pumped storage power station based on the power allocation ratio of each bidding entity to each pumped storage power station and the usage willingness of each bidding entity; determining the target bidding entities to which each pumped storage power station is allocated based on the equity parameters of each bidding entity; determining the pumping plan of each pumped storage power station based on the load information of the target bidding entities to which each pumped storage power station is allocated; and controlling each pumped storage power station to operate according to the corresponding pumping plan. This application can reasonably and accurately control pumped storage power stations.

A system and method are disclosed including a computer that receives a formulation of a multi-objective linear programming planning problem, the formulation including at least one variable fixed at an upper bound or a lower bound. The computer also solves the formulation for a higher-order objective and fixes the upper bound or the lower bound of at least one variable to preserve a solution of the formulation for the higher-order objective. The computer also replaces at least one variable in the formulation with a value of the upper bound or the lower bound, when the upper bound of at least one variable is fixed at the lower bound or the lower bound of at least one variable is fixed at the upper bound, and checks whether replacing at least one variable with the value of the upper bound or the lower bound divides the formulation into two independent components.

The present application relates to the technical field of information security, and more particularly to a dynamic white list management method and system based on immune-Kalman collaborative evolution, which comprises the following steps: receiving the observation data of the service access request collected and sent by the edge access gateway; predicting and updating the state vector of the current service baseline through the Kalman filter state estimator to obtain the prior state prediction value and the prediction residual; dynamically adjusting the "self-non-self" judgment threshold of the immune system, if it is judged as self, the characteristics of the service access request are fed back to the Kalman filter state estimator as observation samples and updated; if it is judged as non-self, an isolation instruction is generated and sent to the software defined network controller, and a denial of access instruction is sent to the edge access gateway; based on the prediction residual and the comprehensive health degree index, the running state of the system is judged, and the corresponding matching strategy is selected from the preset white list matching strategy set and sent to the edge access gateway for execution.

Apparatuses, methods, and systems for dynamic resource allocation based on quality-of-service prediction are disclosed. In embodiments, an apparatus includes quality-of-service prediction circuitry and a resource controller. The quality-of-service prediction circuitry is to make quality-of-service predictions using a model based at least in part on at least one performance counter measurements and at least one quality-of-service measurement. The resource controller is to allocate one or more shared resources based on the quality-of-service predictions and architectural performance counter measurements.

The application provides a kind of management method and system for scenic spot multi-source heterogeneous data, belong to data management technical field;The application obtains comprehensive credibility by real-time calculation of the accuracy, real-time performance, coverage and stability index of each data source, weighted fusion;The measured value is converted into the basic probability assignment of evidence theory, and the comprehensive credibility is used for discount correction;The Jousselme distance between evidences is calculated as the conflict degree, and the fusion is carried out by using Dempster combination rule, credibility weighted average and deep conflict resolution according to low, medium and high levels;The fusion result is verified by multi-source cross, time sequence consistency and physical constraint, and the quality evaluation parameter, conflict threshold and fusion strategy are dynamically adjusted according to the deviation to form a closed loop feedback;The application significantly improves the accuracy, robustness and adaptive ability of multi-source heterogeneous data fusion, and is suitable for scenic spot passenger flow statistics, congestion warning and other scenes.

Provided is a control device that calculates load distribution to a generator having excellent operation efficiency and determining whether to make a bid in response to a request for power supply from a power supply and demand adjustment market. A supply / demand adjustment control device includes: an acquisition unit that acquires first power requested for a power plant including a plurality of generators and second power requested from a power supply and demand adjustment market; a load distribution unit that distributes a total load that is a sum of the first power and the second power to the plurality of generators in descending order of operation efficiency, to distribute a load close to a rated load as much as possible to the generators; and a bidding determination unit that determines whether to make a bid for a request from the power supply and demand adjustment market, on the basis of whether the total load is able to be supplied.

This invention discloses an asymptotic stability control method for urban expressway convoys based on a distance-information adaptive criterion. Belonging to the field of intelligent convoy control technology, the method includes: collecting the relative distance and speed between the vehicle and the preceding vehicle, as well as the motion state information of multiple preceding vehicles; monitoring the communication link in real time and calculating the signal quality factor of each preceding vehicle; constructing a dual adaptive coupled car-following model, which adjusts the vehicle's acceleration through both distance sensitivity coefficients and information sensitivity coefficients; deriving the asymptotic stability criterion for the convoy in equilibrium state based on the dual adaptive coupled car-following model and calculating stability indices in real time; and executing a hierarchical closed-loop control strategy based on the stability indices. This invention can simultaneously utilize distance-based sensitivity adjustment to ensure short-range safety and dynamically adjust the coordination weights according to signal quality, ensuring the asymptotic stability of the convoy in high-speed flow and complex communication environments.

This invention relates to a beamforming and resource allocation method based on communication-aware joint optimization, applied to hierarchical coding communication scenarios. The method includes the following steps: Step 1, initializing the beamforming matrix and rate allocation vector; Step 2, solving the perception optimization subproblem based on the current beamforming matrix and rate allocation vector to obtain a new beamforming matrix; Step 3, solving the communication optimization subproblem based on the current beamforming matrix and rate allocation vector to obtain a new rate allocation vector, and determining whether convergence has occurred. If not, proceed to Step 2; if yes, proceed to Step 4; Step 4, solving the communication-aware joint optimization problem based on the current beamforming matrix and rate allocation vector to obtain the final beamforming matrix and the final rate allocation vector, thus realizing beamforming and resource allocation. Compared with existing technologies, this invention has advantages such as large capacity, high speed, and low complexity.

Systems and methods for leveraging network-related event data to augment / replace cell tower timing advance data. Event data is received from a plurality of user devices using a cellular network. The event data is stored by the user devices in response to the identification of network-related events that have occurred while the user devices are communicating will cells of the cellular. A distance between each user device and the cells is determined for each network-related event based on the event data. A user device traffic map is then generated based on the determined distances between the plurality of user devices and the cells. Cell coverage of the cellular network can then be optimized based on the user device traffic map.