18results about How to "Improve hit rate" patented technology

This invention discloses a cache adjustment method, apparatus, device, and computer-readable storage medium, comprising: collecting access characteristic data from the client layer, object storage daemon layer, and device layer respectively; determining the object access mode of the system based on the access characteristic data; and adjusting the cache priority of each access task, the cache capacity ratio between the client layer and the object storage daemon layer, and the data residence time in the cache layer according to the object access mode; wherein the cache layer includes the client layer and the object storage daemon layer. This invention improves cache hit rate and overall read / write throughput performance, and reduces access latency.

The application discloses a kind of control method, device, electronic equipment and medium of hot-rolled strip thickness, the method includes: obtaining the steel grade information of strip steel and the rolling speed of finishing mill group to strip steel;Determine the speed of steel throwing of the tail section of strip steel based on the steel grade information by finishing mill group;Based on the rolling speed, the speed of steel throwing and the preset conversion time, the speed of steel throwing rate of finishing mill group is determined, to reduce the rolling speed to the speed of steel throwing based on the speed of steel throwing rate;When tail section enters finishing mill group, the tail section of strip steel is thrown based on the speed of steel throwing, so that the temperature of tail section is within the preset temperature threshold value.The method can make the thickness of strip steel tail close to the target value of finished product, improve tail thickness hit rate.

This invention relates to the field of intelligent logistics warehousing and automated storage technology, specifically a method, system, and apparatus for efficient pallet storage in logistics storage. The method includes: collecting actual outbound instructions and pallet flow records as initial data packets; performing time-series correlation analysis to obtain the spatiotemporal coupling characteristics of orders; extracting pallet flow probabilities and calculating predictive cache hit rates; classifying heat levels based on historical outbound frequencies and assigning migration priorities; calculating the physical topology entropy reduction index of the storage area in conjunction with pallet flow probabilities; extracting idle time slices of handling equipment and calculating fragmented time rebalancing conversion rates; constructing a multi-objective optimization function and solving it to obtain a dynamic topology rearrangement strategy; generating migration trigger conditions and cache execution instructions, and executing them when the conditions are met; and calculating scheduling preemption rollback delays and formulating rearrangement interruption recovery strategies when sudden tasks have higher priority. This invention thereby improves the accessibility and scheduling stability of high-frequency pallets.

The present disclosure relates to the field of machine learning, and provides a medical question and answer method, device, storage medium, electronic equipment and product. The method comprises: obtaining a medical description question, identifying a question type corresponding to the medical description question; in the case of a non-concept type, determining historical case information matched with the medical description question based on a pre-constructed case library; and determining knowledge information matched with the medical description question based on a pre-constructed knowledge graph and knowledge base; and determining reply information corresponding to the medical description question based on the historical case information and the knowledge information through a question and answer model. By matching the historical case information in the case library, the matched historical case information and the recalled knowledge information are input into the question and answer model at the same time, the historical case information is used as prior information, the hit rate of the knowledge information is improved, and the accuracy of the reply information is improved.

A multi-level key-value cache reuse acceleration system for long-context reasoning in RAG scenarios includes: a document retrieval module, a pre-filling task queue module, a multi-level key-value cache module, and a cache management engine. This invention achieves a significantly accelerated system by reducing TTFT and pre-filling overhead without sacrificing model accuracy or modifying the model structure through prefix tree cache management, hierarchical transfer-computation overlap, and asynchronous prefetching. It significantly reduces the first-term delay (TTFT) in the pre-filling stage.

This invention discloses a dual-channel spraying device for weed control during crop seedling stages, belonging to the field of agricultural pesticide application technology. It includes a frame and a spray boom mounted on the frame. The spray boom is equipped with a lifting mechanism to raise and lower the boom and maintain its stability. A foldable spray boom is mounted on the boom. Below the spray boom are a target nozzle array and a sealing nozzle array. The target nozzle array is used for targeted spraying of seedling weeds, while the sealing nozzle array is used for sealing spraying of the soil surface in the work zone. The target nozzles of this invention employ a small cone angle and close spacing, enabling precise, point-to-point spraying of weeds and avoiding the waste of pesticide and the risk of crop damage caused by uniform spraying across the entire area. The sealing nozzles employ a large fan angle and wider spacing, forming a continuous and uniform pesticide film through droplet overlap, ensuring consistent sealing effect. The two spraying modes complement each other on the same platform, balancing precision and comprehensiveness.

This invention discloses a method for controlling carbon increase in molten steel based on slag system modification, comprising the following steps: S1, smelting endpoint control: controlling the carbon content, phosphorus and sulfur content, and tapping temperature of molten steel at the endpoint of converter or electric furnace smelting; S2, tapping alloying and initial carbon increase: adding a multi-element nitride alloy and a first carbon increaser to the ladle during tapping; S3, argon blowing and stirring: performing a first stage of high-flow-rate argon blowing and stirring; S4, argon blowing station fine-tuning: transporting molten steel to the argon blowing station for sampling and analysis, and supplementing with a second carbon increaser; S5, composition homogenization and soft blowing: sequentially performing a second stage of medium-flow-rate argon blowing and stirring, and a third stage of low-flow-rate soft blowing; wherein the mass percentage of manganese in the multi-element nitride alloy is ≥5%. The advantage of this invention is that by combining optimized alloy composition, segmented carbon increase, and gradient stirring, it achieves precise control of a narrow composition window in molten steel.

The utility model provides a slingshot releasing device which comprises a movable arm and a fixed combination table, the movable arm is installed on the fixed combination table, a trigger mechanism is arranged on the fixed combination table, and the trigger mechanism is in transmission connection with the movable arm and used for driving the movable arm to release a shot. The fixed combination table is connected with a holding seat, a universal joint is connected between the holding seat and the fixed combination table, and the holding seat is used for being held by a user. The problem of trajectory deviation caused by the holding posture is solved through the spherical hinge holding seat, and the shooting accuracy is remarkably improved.

The application discloses a sintering endpoint advanced prediction and intelligent regulation method based on mixture characteristics and ignition initial state. The method belongs to the technical field of steel metallurgy automatic control. The technical scheme firstly collects physical and chemical characteristic data of the mixture and initial state parameters of the mixture surface ignition, and constructs a multi-dimensional feature data set; then, a sintering endpoint advanced prediction model is trained and established by using historical production data, so that the sintering endpoint position is predicted in advance; when the prediction result deviates from the set target value, the optimal control parameter adjustment amount is calculated by an intelligent algorithm, and instructions are automatically issued to adjust the sintering machine speed and the main exhaust speed. By introducing the mixture characteristics and the mixture surface ignition state as feedforward variables, the sintering endpoint advanced prediction and closed-loop control are realized, the problem of large hysteresis and poor stability of the traditional control method is effectively solved, and the yield and energy utilization rate of the sintered ore are significantly improved.

The embodiment of the invention provides a data processing method and a related device. The embodiment of the invention can be applied to various scenes such as computer technology. According to the data processing method, when a first target data query request of a target service is received, if the request carries target service identification information, query is carried out in a data cache space, and if the request does not carry the identification information, query is carried out in a data storage space according to target service name information. The target business has a plurality of stages and events, and the first target data is data corresponding to any event in any stage. The data cache space is established based on the data storage space. According to the data processing method, by establishing the cache space of the data layer, the cache hit rate can be increased, the cache response time can be shortened, and the data query response speed can be increased.

The invention discloses a testing method and device, equipment, a storage medium and a computer program product, and aims to solve the problems that according to an existing automatic testing scheme, when a script error occurs in a testing script in the testing process, manual intervention is often needed for correction, the testing progress is delayed, the reliability of a testing result is possibly reduced due to false positive failure, and the testing efficiency is high. And the test efficiency is extremely low. The method comprises the following steps: acquiring running state data of a currently running first test script; when it is determined that the first test script has the running exception, obtaining an error instruction corresponding to the running exception; according to a pre-constructed traceability prediction matrix, carrying out traceability analysis on the error instruction, and determining a candidate self-healing instruction set; selecting a target self-healing instruction from the candidate self-healing instruction set according to the similarity score between the error instruction and each candidate self-healing instruction; and replacing the error instruction in the first test script according to the target self-healing instruction to obtain a second test script, and executing the second test script.

The present disclosure relates to a processing method, device, terminal equipment, storage medium and program product. The processing method comprises: detecting a target event; predicting a target application program to be started according to the target event; if it is determined to cache target data, and if it is determined to cache a target process of the target application program, caching the target process of the target application program before starting the target application program. By caching the target process of the target application program in advance when it is determined to cache the target process of the target application program, some processes of starting the target application program can be executed in advance, so that the user does not need to wait for the execution of these processes when starting the target application program, thereby shortening the time length of starting the target application program. Through the prediction of the target application program and the advance caching of the target process, the hit rate of the target application program can be improved, and the starting efficiency of the target application program can be improved.

A firefighting drone includes a fuselage and a launching device mounted on the fuselage. It also includes a horizontal actuation adjustment device and a vertical actuation adjustment device. The horizontal actuation adjustment device is fixed to the fuselage. The front end of the launching device is connected to the front end of the horizontal actuation adjustment device. The two ends of the vertical actuation adjustment device are respectively connected to the rear end of the horizontal actuation adjustment device and the rear end of the launching device. The horizontal actuation adjustment device is used to adjust the angle between the firing direction of the launching device and the forward heading of the firefighting drone in the horizontal projection plane. The vertical actuation adjustment device is used to adjust the angle between the firing direction of the launching device and the forward heading of the firefighting drone in the vertical projection plane. The launching device is used to fire projectiles. This firefighting drone can improve the hit rate when breaking windows.

Embodiments of the present disclosure provide a memory system and an operating method thereof, a storage medium and a memory controller, wherein the memory system comprises at least one nonvolatile memory device and a memory controller coupled with the at least one nonvolatile memory device; wherein the memory device stores a multi-level mapping table for implementing mapping of a logical address to a physical address; the memory controller comprises a cache storing part of the multi-level mapping table; and the memory controller is configured to perform a random read operation on data stored in the memory device; wherein, in response to a random read range corresponding to the random read operation satisfying a preset condition, the capacity of the cache for storing different levels of mapping tables is adjusted.

This invention discloses an intelligent content generation and precise distribution method based on AIGC, comprising the following steps: constructing user individual feature vectors; constructing user association graphs; performing community detection processing to obtain user groups and calculate group distribution parameters, and constructing corresponding group semantic resonance fields; calculating group condition vectors, obtaining generation prompt information, and constructing conditional input sequences; using the AIGC model to generate target content consistent with the semantic features of the corresponding user groups; performing semantic projection calculation to obtain content semantic vectors, and calculating group fit and individual matching degree; generating distribution results for different user individuals; collecting user feedback data on the distribution results, and updating user individual feature vectors, user association graphs, and group semantic resonance fields, thereby realizing integrated collaborative processing of content generation and content distribution.

This invention discloses a method, device, and computer-readable storage medium for assisting in the release of game skills. The method includes: when a game skill to be released against a target object is selected, determining the skill range and default direction corresponding to the game skill; displaying the skill range and the default direction on an auxiliary control layer above the game interface; receiving adjustment operations on the game skill and the default direction, and displaying the release distance and release angle states within the skill range on the auxiliary control layer according to the adjustment operations; when it is determined to release the game skill, adjusting the relative distance between the skill body and the target object according to the release distance and release angle states, and releasing the game skill. This achieves a user-friendly game skill assisting release scheme, improving the hit rate of game skills, reducing the user's operational difficulty, and enhancing the user's gaming experience.

This invention provides a method and apparatus for dynamic instruction redirection of hardware resources, relating to the technical field of terminal device resource management. The method includes: real-time collection of device status information from all connected home terminal devices via the HarmonyOS distributed soft bus, and screening of candidate idle devices in an idle state; matching the execution architecture requirements of the instruction to be migrated with the underlying hardware architecture of the candidate idle devices, and selecting candidate compatible devices that support the execution architecture requirements; constructing a priority mechanism for migration instructions based on the HarmonyOS scheduling framework, calculating dynamic priority weights, and combining these weights to call a device performance evaluation function; constructing a task migration benefit function by comprehensively considering multi-dimensional performance indicators; and finally selecting the optimal target device based on the result of the benefit function. This invention enables the design of a dedicated priority mechanism for cross-device migration instructions under the HarmonyOS native scheduling framework, thereby achieving efficient scheduling of migration tasks under heterogeneous hardware conditions across multiple devices.

This invention discloses a method and system for accessing medical image data in a Kubernetes cluster environment, comprising: receiving an access request from a user client including a DICOM identifier and a unique request identifier; determining the target Pod based on the unique request identifier; sending the DICOM identifier to the target Pod and querying its local cache; if a match is found, returning the matched target medical image data to the user client; if a match is not found, querying a preset Redis distributed shared cache based on the DICOM identifier; if a match is found, filling the target medical image data back into the target Pod's local cache and returning it to the user client; if a match is not found, retrieving the target medical image data corresponding to the DICOM identifier from a preset medical image database, storing it in the Redis distributed shared cache, and returning it to the user client. This invention achieves improved overall cache hit rate while ensuring low-latency access.