12 results about "Time budget" patented technology

This invention discloses a dynamic recommendation method for teaching content based on interaction frequency, relating to the field of educational informatization technology. This method collects interaction events generated by students and teachers during teaching sessions, and generates valid interaction events based on rules such as de-jittering, minimum dwell time, text length, repeated submission suppression, and abnormal high-frequency suppression. It uses a preset micro-window to statistically analyze individual interaction frequency, group interaction frequency, and class interaction frequency, and determines a target frequency band based on the teaching stage. When the class interaction frequency deviates from the target frequency band and meets the continuity condition, a trigger signal is generated. A strategy table is used to select the recommended action type, delivery scope, and time budget. Matching content is then selected from content items with increasing, stable, or decreasing frequency tags for delivery. After delivery, the class interaction frequency and low-frequency percentage are retested within the evaluation period to form an effect grading and audit record.

Disclosed in the embodiments of the present invention are a management method and system for cross-configuration of ship budget. The system comprises a service functional module, an expense item module, a budget item module, a budget management module, a budget alert and control module, and a budget statistical analysis module. The management solution for cross-configuration of ship budget has the following advantages: 1. a many-to-many association relationship between expense items and budget items is achieved, and cross matching is performed according to using departments and management templates; specifically, a same expense item can be incorporated into budget items of different departments, and classified statistics collection is automatically performed on expenses produced by service modules; 2. on the basis of users and data in an approval process, expenses of each service are automatically categorized into using departments and managing departments, thereby achieving statistics collection in different dimensions and real-time budget alert, and achieving budget management and control from different perspectives.

Disclosed are a service quality assurance method and a communication device, the method comprising: a first network element receiving a first message, the first message comprising first information; or the first network element receives the first message and the first information; determining a first identifier and / or second information based on the first information, wherein the first identifier is associated with the second information; executing a flow processing action on the first message based on the second information; the first information comprises one or more of the following items: an AF identifier, a service type, a service object, a priority of the first message, a terminal equipment type, a first service time budget, a destination network address and a network address of the terminal equipment; the second information comprises one or more of the following items: the priority corresponding to the Internet of Things service, the resource type, the second service time budget, the size of an uplink data packet, and the uplink and / or downlink rate. According to the method and the device, the service quality of the Internet of Things can be guaranteed under the condition that network side resources are tense and limited.

A method for forwarding a discovery message by a relay terminal in a wireless communication system according to various embodiments and an apparatus therefor are disclosed. Disclosed are a method and an apparatus therefor, the method comprising the steps of: receiving a first discovery message for a multi-hop relay; and determining whether to forward the first discovery message based on the first timestamp and the time budget included in the first message.

The invention discloses a processing method and device for time-sensitive events in a complex working environment and a storage medium. The method comprises the following steps: determining a corresponding time budget value; carrying out heterogeneous decoupling on the multi-source resource data to obtain a resource capability vector; calculating a time margin; calculating system resistance; determining a resource release probability and a resource newly-added occupation probability, and establishing a probability mapping function for the time disturbance quantity; calculating a prediction correction item through a probability mapping function, wherein the prediction correction item is determined according to the resource release probability, the resource newly-added occupation probability and the corresponding income amount and loss amount; calculating a reachability value of the to-be-processed event according to the time margin, the system resistance and the prediction correction term through a preset reachability function, and comparing the reachability value with a preset threshold set; and determining a target processing strategy from the multiple event processing strategies according to the comparison result.

This invention discloses a real-time budget scheduling method for an advertising delivery system, relating to the field of dynamic budget management technology. The method includes: collecting real-time delivery traffic data; comparing the current traffic intensity with historical baseline data and time period data to generate a traffic anomaly intensity identifier and recording the corresponding timestamp; when the traffic anomaly intensity identifier meets preset conditions, performing latency detection, packet loss detection, and numerical mutation detection on the delivery feedback data to generate feedback reliability weight parameters; simultaneously obtaining the state update time of the delivery strategy and calculating the difference with the feedback reception time to obtain a lag parameter. This invention, by introducing a traffic anomaly intensity identifier and a multi-dimensional feedback detection mechanism, can achieve dynamic perception and evaluation of the quality and response lag of feedback data; under the premise that a traffic anomaly is triggered, it actively executes feedback detection operations and constructs a lag parameter by combining the strategy state response time difference.

The invention discloses a continuous learning method, equipment and system for edge real-time video analysis. In one aspect, the method comprises the following steps: each client continuously adopts a student model to carry out video analysis reasoning work; after a preset re-training moment is triggered, each client sends a request and an edge server collects the request, with the goal of maximizing the sum of accuracy of multiple clients and the constraint that the total spent time does not exceed the budget, discrete time resource allocation is carried out through a greedy strategy, and global configuration of training turns and frame numbers of each client is generated; a client uploads a latest video frame sequence, an edge server generates a hard tag by using an Oracle model to construct a data set, retrains a student model through a teacher model based on global configuration and returns a weight file; and the client updates the model for continuous reasoning, and circularly triggers the flow of the next period. According to the method, resource allocation and retraining configuration decision making are carried out under the constraint of limited time budget, so that the overall accuracy of multiple users is maximized.

The application discloses a memory control method, a storage device, a medium and computer equipment, and relates to the technical field of memory control, and the method comprises the following steps: acquiring the maximum allowed time consumption of a single I / O cycle based on the worst demand performance and the single write data length of a system preset, calculating the dynamic time budget that can be allocated to foreground garbage collection by the host write time consumption and the maximum allowed time consumption, and acquiring a theoretically optimal garbage collection intensity coefficient; monitoring the host write queue depth in real time to adjust the feedforward factor, and monitoring the number of idle blocks in real time to adjust the feedback factor; calculating the currently implemented garbage collection intensity, and allocating the time slice resource of the foreground garbage collection based on the currently implemented garbage collection intensity to control the execution intensity of the garbage collection. The application quantifies the abstract performance target of the worst demand performance into the time budget of a single I / O cycle, introduces a feedforward and feedback compound control mechanism, and realizes accurate and adaptive adjustment of the garbage collection intensity.

The invention discloses a large model reasoning framework scheduler based on time delay and cache awareness, and belongs to the technical field of artificial intelligence and distributed systems. According to the method, a self-adaptive double-level collaborative framework is adopted and comprises a batch processing resource allocation layer and a cache planning scheduling layer based on a prefix tree. The batch processing resource distribution layer dynamically calculates a time budget and restrains token selection in each scheduling, so that the stable generation rate of a decoding request is guaranteed, the pre-filling request processing is accelerated, and the first token delay is optimized. The cache planning scheduling layer periodically constructs a waiting queue request into a prefix tree, operates a multi-stage greedy algorithm and resorts a request execution sequence to maximize the utilization rate of key value cache and the prefix reuse rate between the requests, so that the overall throughput and resource efficiency of the system are improved. The two layers of schedulers work cooperatively, the problem that service quality and system throughput are difficult to consider in a high-concurrency scene is effectively solved, and better scheduling fairness and resource utilization rate are achieved.

The invention discloses a budget management system and method based on a distributed account book, and belongs to the technical field of information technology and financial management. The system comprises a block chain network layer, an intelligent contract layer, a service layer and an application layer, the block chain network layer adopts a three-layer chain architecture including a group chain, a company chain and a department chain, and upward summarization and downward decomposition of budget data are realized through a cross-chain communication protocol; the intelligent contract layer deploys a budget compilation contract, a budget approval contract, a budget execution contract, a budget adjustment contract and a budget monitoring contract to realize automatic management of a budget full life cycle; the budget approval contract supports three approval processes of serial, parallel and countersigning, and realizes multi-party collaborative approval based on a consensus mechanism; the budget execution contract realizes real-time budget control, and expenditure is automatically refused when the balance is insufficient; the budget monitoring contract realizes a multi-level early warning mechanism, including yellow, orange and red early warning and blocking mechanisms. According to the method, the credibility of the budget data is ensured by utilizing the non-tampering characteristic of the block chain, the budget rule is automatically executed through the intelligent contract, the transparency, the cooperation efficiency and the real-time monitoring capability of budget management are remarkably improved, and the auditing work is greatly simplified.

The invention discloses a memory control method, a storage device, a medium and computer equipment, and relates to the technical field of storage control, and the method comprises the following steps: obtaining the maximum allowable time consumption of a single I / O period based on the worst demand performance preset by a system and the single write-in data length, calculating a dynamic time budget which can be allocated to foreground garbage collection through host write-in time consumption and maximum allowable time consumption, and obtaining a theoretical optimal garbage collection strength coefficient; monitoring the host write-in queue depth in real time to adjust a feed-forward factor, and monitoring the number of free blocks in real time to adjust a feedback factor; and calculating the currently implemented garbage recycling strength, and distributing time slice resources of foreground garbage recycling based on the currently implemented garbage recycling strength so as to control the execution strength of garbage recycling. According to the method, the abstract performance target of the worst demand performance is quantified into the time budget of a single I / O period, a feedforward and feedback composite control mechanism is introduced, and precise and self-adaptive adjustment of garbage collection strength is achieved.