22 results about "Computer performance" patented technology

The invention relates to a model rendering method, a surgery simulation method and a computer readable storage medium, and the method comprises the steps: responding to the interaction between a user and a data model, and determining a user attention region in the data model, the data model comprising voxel data and grid data associated with a preset region of interest; and rendering at least one part of the data model based on the voxel data and the grid data according to the user attention area to obtain a target rendering result. By adopting the method, the reality sense of operation simulation can be improved, and meanwhile, the computer performance requirement required by operation simulation is reduced.

The invention discloses a computer performance real-time evaluation method and device based on user experience perception, a storage medium and computer equipment, and the method comprises the steps: obtaining the current operation data of the computer equipment, carrying out the use scene recognition based on the current operation data, and determining a current use scene; obtaining a plurality of user experience perception performance indexes corresponding to the current use scene and the index weight of each user experience perception performance index in a pre-constructed use scene and user experience perception performance weight mapping table; performing performance index data acquisition on the computer equipment according to each user experience perception performance index, and calculating a comprehensive performance score of the computer equipment according to each acquired user experience perception performance index data and the corresponding index weight; and performing real-time performance feedback of the computer equipment according to the comprehensive performance score.

The application belongs to the technical field of computer hardware testing, and discloses a multi-sensor integrated detection dock system for notebook computer performance testing, which comprises a multi-sensor module, a data acquisition and interface module, a main control module and a hardware component. The application has the following remarkable advantages: high integration and improved efficiency; data synchronization precision and improved analysis value; high automation degree and reduction of human error; consistent test conditions and strong result comparability.

This invention discloses a computer performance data acquisition method and system, relating to the field of computer data processing technology. Based on the load prediction value Ldp, the system automatically adjusts its operating rhythm. When the device is under high pressure, the sampling adjustment coefficient Frs is suppressed due to the increase in the acquisition overhead value Coi, thereby dynamically lengthening the sampling interval Del, thus preventing the acquisition behavior from exacerbating congestion. When the device is idle, the processing utilization Cpuu, memory utilization Memu, and thread switching rate Ths remain at low values, and the load prediction value Ldp derived from the trend base value Tbs and the acquisition overhead value Coi is low, causing the sampling interval Del to be actively shortened. This allows for early capture even when the user is not operating but background programs are gradually increasing. Traditional fixed-frequency acquisition methods often fail to identify performance degradation inflection points in a timely manner, while the continuous accumulation of the trend base value Tbs triggers an increase in the sampling frequency at an early stage.

The invention discloses an industrial personal computer performance acquisition method and terminal based on a third-party control, and the method comprises the steps: firstly judging whether a to-be-acquired industrial personal computer is a local terminal or not, and then automatically selecting a mode of direct calling or remote calling based on a secure shell protocol to acquire the performance; and a third-party control interface is uniformly called to realize efficient acquisition of hardware performance of the industrial personal computer, so that an optimal calling path is automatically selected in a local scene and a far-end scene. Compared with a traditional mode of directly reading the system file, the method has the advantages that a Linux kernel file structure does not need to be deeply analyzed; a key pair is configured between a local industrial personal computer and a to-be-acquired industrial personal computer in advance, and cross-industrial-personal-computer and cross-network remote acquisition is realized by using a secure shell protocol SSH, so that the safety and reliability of cross-computer performance data acquisition are improved. In conclusion, the method obviously improves the efficiency, accuracy and maintainability of performance acquisition of the industrial personal computer.

The invention discloses a user-friendly brain-computer interface system, and relates to the technical field of brain-computer interfaces. The system comprises a stimulation presentation module, a signal acquisition module, a signal processing module and a signal decoding module. The stimulus presentation module is used for presenting static color block stimulus at different positions on the display equipment; the signal acquisition module is used for acquiring scalp surface electroencephalogram signals when a user watches a color block; the signal processing module adopts a TRCA algorithm to carry out signal-to-noise ratio enhancement on the electroencephalogram signals, and an electrode channel weight coefficient is obtained by solving a target function; the signal decoding module adopts a Manhattan distance method to describe electroencephalogram signal characteristic differences stimulated by different color blocks. Visual fatigue is remarkably reduced, decoding performance is stable, color combination is visual, and requirements for different control instruction numbers can be flexibly met; static color block stimulation does not need to occupy a large number of computing resources, the high requirement of traditional flicker stimulation for computer performance is met, and the method is suitable for more hardware environments.

The application relates to a CPU performance test method and application under a Conda environment, belongs to the field of computer performance evaluation and optimization, and realizes comprehensive evaluation of CPU performance in combination with LAMMPS and LLCBench tools. The method quickly builds a test platform through the Conda environment, can evaluate the computing performance and parallel processing capability of the CPU by using LAMMPS, and can test the bandwidth and delay characteristics of CPU caches (L1, L2 and L3) through LLCBench. In combination with the two tools, the method realizes comprehensive testing of the computing performance and cache performance of the CPU, has the advantages of high efficiency, repeatability and wide application range, and provides scientific support for hardware performance evaluation and optimization.

This invention relates to the field of computer system performance and security testing technology, specifically a computer performance and security testing method and system. Specifically, it involves: acquiring and standardizing performance indicators, behavioral characteristics, and security event data of the target system in real time; using a Gaussian mixture model to cluster the dimensionality-reduced behavioral characteristics to establish normal behavior pattern clusters; combining a Hidden Markov Model to perform time-series analysis of the behavioral sequences to identify system state transition paths; employing a weighted combination strategy to inject normal and attack-type loads, and adjusting abnormal behavior chains through a perturbation function; constructing a directed weighted association between abnormal events and performance indicators based on an event-driven causal performance graph, quantifying the system risk index, and triggering alarms; outputting performance bottlenecks, security vulnerabilities, and optimization suggestions, and updating the knowledge base to optimize subsequent models. This invention achieves deep coupling of performance and security testing, intelligent scheduling of dynamic loads, and interpretable location of risk paths.

The utility model discloses a double -deck formula HDD module support structure, including assembly frame, the inside fixed mounting of assembly frame has a plurality of transverse arrangement's lower support board, each lower support board all is provided with upper support board, each lower support board with upper support board inside all movably inserts and is provided with HDD module, and the lower support board includes a primary support plate, and the top of primary support plate is provided with front baffle, and the lower surface one side of primary support plate is provided with primary fixed hole for installing assembly frame, and the upper surface fixed mounting of front baffle is provided with the frame plate assembly hole for with upper support board assembly, the support structure of the utility model has double -deck formula's HDD module support installation effect, can carry out up -and -down stacked frame body assembly work, and in this way can when HDD module assembly, through the structural design of double -deck support, can effectively promote the assembly number of HDD module, promote computer performance, and simultaneously will not occupy too much cabinet transverse space, reduces the space occupation effect when module assembly.

The application discloses a kind of marine integrated navigation system performance optimization method, the zooming and dragging of chart are optimized, when displaying chart, optimization is carried out by only loading partial layer, to improve the fluency of chart zooming and dragging operation.The determination steps of loaded layer are as follows:(1) test layer display performance;(2) create layer priority queue;(3) determine the layer directory that needs to be loaded and displayed by layer priority queue and layer display performance.The application draws part of layer preferentially, and the requirement of computer performance is low, and good performance can be achieved when frequent zooming and dragging operation is carried out.

Prediction of CPEs using banners greatly improves computer functioning. Many web services have an unknown common platform enumeration (CPE). When the CPE is unknown, a computer system is unable to obtain cybersecurity flaws and software fixes for a software product or web service. A CPE, though, is predicted by banner-prompting a large language model using a web service banner. Once the CPE is predicted, vulnerabilities may be identified.

The present application belongs to the technical field of computer performance detection, and discloses a computer performance degradation prediction and anomaly detection method based on multi-source data fusion, and the specific steps are as follows: S1. Multi-source data acquisition: collect hardware sensor data, software performance counter data, and user behavior and system log data of the computer. By fusing hardware, software and system log multi-source data, the one-sidedness of a single data source is avoided, the computer performance is accurately and comprehensively reflected, the detection accuracy is improved, and the false alarm and missed alarm rates are reduced; based on the historical data of the health state, a personalized model is trained to build a health region, which is adapted to different user habits, solves the drawbacks of fixed threshold one-size-fits-all, and enhances adaptability; the health degree trend is predicted through the LSTM model, the change from "post-detection" to "pre-prediction" is realized, and the user is helped to carry out preventive maintenance in advance; with the help of the SHAP method, the abnormal root cause is located, the fault diagnosis and repair time is shortened, and the operation and maintenance efficiency is improved.

A method improves performance of a computer that provides binaural sound to a listener. A memory stores coordinate locations that follow a path of how the head of the listener moves. This path is retrieved in anticipation of subsequent head movements of the listener to improve computer performance of executing binaural sound.

Embodiments of the present application provide a data processing method, a computing device and a computer readable storage medium, which are used to avoid unnecessary memory capacity reduction, and thus improve computer performance. The method comprises obtaining first SPD information of a first memory, the first SPD information comprising first initialization data and a first identifier; checking the first initialization data, and if the first initialization data fails to pass the check, obtaining second initialization data, wherein the second initialization data is contained in second SPD information of a second memory, the second SPD information further comprising a second identifier, the second identifier being the same as the first identifier, and the second initialization data passing the check; and initializing the first memory according to the second initialization data.

The present application belongs to the technical field of computer performance detection, and discloses a computer adaptive testing method based on POMDP and dynamic confidence state updating, and the specific steps are as follows: step one: build a hardware platform and a sensor network, the hardware platform is composed of a host control unit, a multi-type sensor array and a U disk test starting device. Through the confidence state dynamic adjustment mechanism, the test cases corresponding to the low probability state can be automatically trimmed, the test time is greatly shortened, and the problem of low efficiency of the traditional method is solved; combined with Kalman filter multi-sensor fusion and POMDP model, the system uncertainty is accurately modeled, the state estimation is corrected in real time, the performance inflection point is captured in advance, the warning accuracy and the adaptability to the system state change are improved, and the pain points of poor prediction and poor adaptability are solved; with the help of AHP-TOPSIS dynamic weight multi-dimensional evaluation and visual output, quantitative scoring and multi-dimensional comparison are realized, and misjudgment is reduced.

A method improves performance of a computer that provides binaural sound to a listener. A memory stores coordinate locations that follow a path of how the head of the listener moves. This path is retrieved in anticipation of subsequent head movements of the listener to improve computer performance of executing binaural sound.

The invention relates to the technical field of computers, in particular to a notebook computer performance allocation method and device, a notebook computer and a storage medium, by obtaining real-time load indexes of all computing units in a computing unit set composed of a CPU, a GPU and an NPU, when an AI task request triggered by a user is received, a task is analyzed to generate a feature vector, and the feature vector is generated; and determining an optimal calculation unit combination according to the task feature vector and the real-time load index, and deploying the AI task to be executed according to the combination. According to the invention, resources can be flexibly allocated according to real-time loads and task requirements, the system performance and energy efficiency are improved, and the user experience is improved.

Embodiments of the present application provide a same name processing method, device and equipment and a storage medium. The method comprises: obtaining an executable file of a target application program, wherein the executable file is obtained by compiling a set programming language, the executable file comprises a file header for storing file basic information and executable code executed by the target application program when running on a set device; determining classification information of a plurality of classifications corresponding to a target class of the set programming language based on the file header; determining method information of a plurality of methods corresponding to the plurality of classifications respectively according to the classification information, wherein the method is used for executing a set operation when the target application program runs; and determining a same name method in the plurality of classifications according to the method information corresponding to the plurality of classifications respectively. In the same name processing process, the source code of the target application program does not need to be obtained, and a script does not need to be written, so that the work efficiency is high, and the computer performance is not affected.

The invention discloses a notebook computer performance dynamic optimization method and system based on big data analysis, and belongs to the technical field of computer performance optimization. The method comprises the following steps: S1, generating an application feature portrait and an initial tentative sequence plan; s2, obtaining the state of the notebook computer after the initial resource test; s3, generating a negative experience index; s4, if the negative experience index deteriorates, generating a rollback instruction and generating a heuristic failure context, and if the negative experience index does not deteriorate, judging that the current heuristic is preliminarily valid; s5, obtaining an updated heuristic sequence plan and an updated notebook state; and S6, generating an updated negative experience index. According to the method, the problems of worsening user experience and ecological barriers caused by blind selection of new application cold start stage performance optimization strategies in the prior art are solved through application feature portrait construction and a dynamic optimization mechanism.

A method and apparatus for computer operation improvement by flattening multi-level data structures to optimize pointer chase is provided. Within computer program code, one or more chains of multiple pointers which ultimately reference stored information to be processed are identified. These chains are analyzed to determine the feasibility of replacing the chains with a flatter data structure. In the flatter data structure, the stored information is accessible more directly. For example the data may be stored in a single array by which it can be accessed directly. When feasible, a chain is replaced with such a data structure and the computer program code is adjusted to implement the improved data structure in place of the associated chain. Candidate chains can be identified or prioritized for example on the basis of the expected impact to computer performance, e.g. in terms of operating speed or resource usage.

The application discloses a parallel optimization method and system for a high-performance computer and relates to the technical field of computer performance optimization. The method constructs a local task inheritance tree for each parallel process and labels inheritance cost. Each process only exchanges root node inheritance cost with adjacent processes and updates a global load baseline, and triggers pre-splitting when the local cost exceeds the baseline dynamic threshold. Subnode division schemes are enumerated, load balancing benefits and communication costs are quantified through a split benefit formula, the optimal scheme is selected to divide the calculation unit, task meta information is written into the target process through a remote direct memory access one-way write operation, the target process writes back the result after completion, the current process polls the completion flag and recycles, and the timeout task can be re-delegated. The application realizes the pre-perception and dynamic balancing of load and improves parallel computing efficiency.

The invention relates to the technical field of computers, and discloses a foldable portable computer which comprises a computer case, the computer case further comprises a folding device, the folding device comprises a folding structure and a portable structure, a display screen is fixedly connected to the inner side of the computer case, a folding keyboard is hinged to the bottom end of the display screen, and the folding keyboard is connected to the bottom end of the computer case. The storage box is fixedly connected to the left side of the case, the placement groove is formed in the inner side of the bottom of the storage box, a user grabs a protruding block to lift a sliding plate upwards, the sliding plate retracts into a telescopic groove, at the moment, the placement groove is exposed, the user can place peripherals such as a data line, a power line, an earphone, a mouse and a mouse pad into the placement groove, then the sliding plate is closed, and then the user can place the peripherals into the storage box. The computer case is simple in structure and convenient to carry peripherals, when a user goes out, the user only needs to place the computer case on a desktop or a certain platform, then turn over the folding keyboard and take out the peripherals from the containing groove, the computer case can be used, the performance of the computer is guaranteed, meanwhile, convenience is improved, the computer case can be folded and stored, and practicability is improved.