226 results about "Computer performance" patented technology

A method and system for computing a performance forecast for an e-business system or other computer architecture to proactively manage the system to prevent system failure or slow response time. The system is adapted to obtain measured input values from a plurality of internal data sources and external data sources to predict a system's performance especially under unpredictable and dramatically changing traffic levels in an effort to proactively manage the system to avert system malfunction or slowdown. The performance forecasting system can include both intrinsic and extrinsic variables as predictive inputs. Intrinsic variables include measurements of the systems own performance, such as component activity levels and system response time. Extrinsic variables include other factors, such as the time and date, whether an advertising campaign is underway, and other demographic factors that may effect or coincide with increased network traffic.

Methods and systems for enhanced computer performance improve software application execution in a computer system using, for example, a symmetrical multi-processing operating system including OS kernel services in kernel space of main memory, by using groups of related applications isolated areas in user space, such as containers, and using a reduced set of application group specific set of resource management services stored with each application group in user space, rather than the OS kernel facilities in kernel space, to manage shared resources during execution of an application, process or thread from that group. The reduced sets of resource management services may be optimized for the group stored therewith. Execution of each group may be exclusive to a different core of a multi-core processor and multiple groups may therefore execute separately and simultaneously on the different cores.

A remote client computer performance / compatibility querying and certification system allows a server to remotely gather performance / capability information from a client computer, such as its processor class or family, display resolution capability, installed software components, peripheral devices, or the type and version of its operating system, and determine whether it is capable of accessing and utilizing an on-line service via a communication network. The performance / capability information is gathered using a querying program downloaded from the server and running on the client computer. The querying program queries the system / component registry of the client computer's operating system using, e.g., one or more application program interface function calls. The gathered performance / capability information is used to, e.g., pre-certify the client computer before utilizing the on-line service, determine whether the user desires to purchase software on-line, and / or provide an expert technician information regarding the client computer's installed software / hardware components during an on-line technical support session.

The invention discloses a method and a device for automatically cleaning redundant items in a computer terminal; the method comprises the following steps: scanning items in the computer terminal according to a predetermined scanning strategy so as to acquire items information; matching acquired items information according to a predetermined matching strategy so as to determine the redundant items; and clearing the redundant items according to a predetermined clearing strategy. According to the embodiment of the invention, computer garbage is cleaned conveniently; human resource can be released; one-click cleaning is realized; users are released from problems of necessarily mastering a certain computer knowledge or processing judgment and selection; and automatic cleaning is realized; computer performance also can be maintained in an unattended operation manner.

The invention relates to the technical field of the optimization of computer performance and particularly relates to a dispatching method for working load of an elastic cloud computing platform. Thedispatching method comprises the steps of initializing virtual machines and tasks and combining the virtual machines according to the relative load among the tasks; dividing the total execution time of the tasks into setting number of scheduling phases, and working out an optimal scheduling policy according to the working load of a current task by a dispatching system; then dividing or combining the scheduling phases according to the degree of similarity of the working loads of two adjacent scheduling phases; finally adjusting the number of times of simulation to the sequence of the divided or combined scheduling phases in a self-adaption way so as to determine the computing time of the next scheduling phase until the end of the program. According to the dispatching method, the adaptive multi-tasking load change stage can be configured reasonably, so that the dispatching performance of a whole system is improved, and the test time is reduced.

The invention provides a brain-like coprocessor based on a neuromorphic circuit. The brain-like coprocessor comprises a storage module storing training characteristic information, a processing module of the neuromorphic circuit based on a hierarchical structure, an encoder and a decoder which are respectively connected with the input end and the output end of the processing module, and a comparison module which is respectively connected with the output end of the storage module and the output end of the decoder. The storage module of the brain-like coprocessor comprises a training characteristic database and / or a configurable training characteristic database. The processing module comprises a solidification function network module and / or a configurable function network module and has a quite good expansion capability. According to the invention, the brain-like coprocessor employs a distributed storage and parallel cooperative processing mode, is especially suitable for processing non-formal problems and unstructured information and can also process formal problems and structured information, such that the speed of a computer in processing such problems as brain-like calculation, artificial intelligence and the like is substantially accelerated, the energy consumption is reduced, the fault tolerance capability is greatly improved, the programming complexity is reduced, and the computer performance is enhanced.

The invention discloses an effective micro-expression automatic identification method which comprises the steps of micro-expression frame sequence preprocessing, micro-expression information data study and micro-expression identification. The method for micro-expression frame sequence preprocessing comprises the steps that frames of obtained micro-expression sequences are detected, data of an image of each frame are extracted so that graying processing can be conducted on the data, and all the micro-expression sequences are interpolated into the frame of the unified number through the linear interpolation method. The method for micro-expression information data study comprises the steps that the micro-expression sequences obtained in the preprocessing stage are written in a tensor mode, then, the intra-class distance of the same class of micro-expressions is minimized in a tensor space through the discriminating analysis method of tensor expression and the between-class distance of different classes of micro-expressions is maximized, so that data dimension reduction is achieved, and characteristic data are ranked in a vectorized mode according to a class discriminating capacity descending order. A nearest neighbor classifier is used for micro-expression identification. Compared with the methods of MPCA, GTDA, DTSA and the like, the effective micro-expression automatic identification method has the advantages of being high in rate of identification, low in computer performance requirement and easy to achieve.

The invention discloses an automatic BMC (baseboard management controller) fault solution method based on RMC (rack server management center) management, and belongs to the field of computer performance management. The method comprises the following specific steps: (1) monitoring a running state of a BMC by an RMC, if monitoring a BMC fault, re-authenticating whether the fault occurs in the BMC state or not, and if confirming that the fault occurs in the BMC, actively finishing a BMC restarting action by the RMC, wherein a server system comprises the RMC, an IPMB (intelligent platform management bus), an intermediate node plate and the BMC; (2) after actively finishing BMC restarting by the RMC, if monitoring that the BMC runs normally by the RMC, continuously keeping a monitoring state, or otherwise, notifying the BMC fault to users and prompting that the BMC fault is solved through a hardware restarting mode by a notification system. The method is used for an RACK server, automatic judgment of a BMC fault situation and fault removal and recovery by the system are realized through the RMC, the manual operation is not required, and the demands of BMC fault judgment, removal and recovery required to be performed by the server in time are effectively met.

A method and system for diagnosing data-processing system performance. Initially, unique audible sounds are associated with particular performance indicators within the data-processing system. Thereafter, performance indicators are identified, one or more of which indicate data-processing system performance. A diagnostic is then periodically run to detect performance indicators within the data-processing system. A unique audible sound is then generated associated with a particular performance indicator, in response to detecting the status of particular performance indicator via the diagnostic, such that potential data-processing system failures may be recognized by identifying the unique audible sound. The unique audible sound may be continuously generated at varying durations and volumes to indicate the presence of system failures. A trained user, accustomed to particular audible sounds, can identify and diagnose system failures by analyzing unique audible sounds generated by the data-processing system. The frequency and duration of each particular sound may be designated and subsequently altered by the user. The performance indicators may be composed of fault modes, one or more of which may presage data-processing system failures. In addition, the data-processing system itself may be composed of a computer system, such as a personal or mainframe computer.

Communication latency, now a dominant factor in computer performance, makes physical size, density, and interconnect proximity crucial system design considerations. The present invention addresses consequential supercomputing hardware challenges: spatial packing, communication topology, and thermal management. A massively-parallel computer with dense, spherically framed, geodesic processor arrangement is described. As a mimic of the problem domain, it is particularly apt for climate modelling. However, the invention's methods scale well, are largely independent of processor technology, and apply to a wide range of computing tasks. The computer's interconnect features globally short, highly regular, and tightly matched distances. Communication modes supported include neighbour-to-neighbour messaging on a spherical-shell lattice, and a radial network for system-synchronous clocking, broadcast, packet-switched networking, and IO. A near-isothermal cooling system, physically divorcing heat source and sink, enables extraordinarily compact geodes with lower temperature operation, higher speed, and lower power consumption.

The present invention may be embodied as expected event scheduler and processor in an application performance monitoring (APM) services. The expected event scheduler and processor allows the APM system to take scheduled events into account when performing the performance forecasting for the host system. The learned parameters may be based on measured input values including internal measurements, such as data from monitoring agents located within the host computer system, as well as external measurements relating to factors such as computer backup runs, monthly payroll runs, quarterly financial reporting runs, weekends, holidays, weather data, traffic data, advertisements run by the operator of the system or others, promotional events, product releases, news announcements, elections and other natural and demographic factors. The expected events may overlap in time, and the expected event scheduler and processor learns weighing factors for the simultaneously occurring expected events by updating the learned parameters over successive time trials.

Location-aware fitness monitoring program products, systems, and methods, and applications thereof, are disclosed. In an embodiment, a method for providing information about an athletic activity includes the steps of displaying to a user via a computer performance parameter information regarding an individual's performance during the athletic activity as a function of time, and displaying to the user via the computer the title of a music track that was played for the individual by a portable fitness monitoring device during the athletic activity, wherein the display of the title of the music track occurs in response to the user specifying via the computer a particular point in time during the athletic activity.

The invention relates to a method for precisely measuring the earth gravitational field, in particular to a method for inverting the earth gravitational field by using a variance-covariance diagonal tensor principle. The method comprises the following steps of: establishing a cumulative geoidal surface error model on the basis of satellite gravity gradient variance-covariance diagonal tensor principle; accurately and rapidly inverting the earth gravitational field by using the satellite gravity gradient measurement data of a spaceborne gravity gradiometer; and developing requirement argumentation on a GOCE (Gravity Field and Steady-State Ocean Circulation Explorer)-II satellite gravity gradient system by using the satellite orbit altitude and the precision index of the satellite gravity gradiometer. The method disclosed by the invention is high in inversion precision of the earth gravitational field, high in inversion speed of the satellite gravity gradient, explicit in physical content of a satellite observation equation, capable of easily developing the requirement analysis of the satellite gravity gradient system and low in requirement on computer performances. Therefore, the method for inverting the earth gravitational field by using the variance-covariance diagonal tensor principle is an effective method for resolving the earth gravitational field with high precision and high spatial resolution.

The invention discloses a pull-up counting system based on image processing and a counting method thereof. The method is characterized by under conditions of a given horizontal bar height, a camera parameter and a shooting environment, according to a shot image sequence, using linear detection, face detection and skin color detection in a digital image processing theory to acquire positions of a horizontal bar, a face and hands; and for a detected correlation area, according to an image rotation invariant moment theory, calculating a zero moment and a first moment of a binary image, and determining accurate face and hand mass center positions and a face area; and then tracking and recording face and hand position changes of a whole image and image gray value changes of a specific area, and through programming analysis, calculating pull-up times of an athlete. Because a non-contact measurement technology is adopted, anti-environment interference capability is high. A position detection technology is mature and a counting error is low. A low computer performance requirement and short execution time are possessed. A rapid, reliable, accurate-counting and real-time requirement is reached. when athletes with different heights and different sexualities carry out test counting, a program does not need to be changed.

Method and system for performing content filtering services in a computer network. A gateway computer may be configured to be in the data path of network communications between client computers in a private computer network and computers in a public computer network. A master entity in the gateway computer may be configured to determine content filtering services available in the client computers. The master entity may delegate to the client computers performance of content filtering services that may be reliably performed in the client computers. Each of the client computers may include a trusted agent in communication with the master entity to coordinate content filtering in the private computer network.

The invention discloses a baking rendering method. The method comprises: game model scene resources are read, rendering is carried out, and a game model scene is generated, wherein the game model scene includes at least one game model; a light effect added into the game model scene is detected and the light effect is baked to generate baking information including at least one baking chartlet obtained by baking the lighting effect, a serial number of a game model in the game model scene corresponding to each baking chartlet and a corresponding deviation position; and the baking information is stored and is packaged into a resource packet, so that a light baking effect is realized based on the baking information in the resource packet during game loading. In addition, the invention also discloses a baking rendering apparatus, baking rendering equipment, a terminal device, and a computer readable storage medium. Therefore, rendering computing is reduced; the computer performance is improved; and the visual enjoyment is provided for the user.

Techniques for managing performance of a computing system include monitoring an operating power and an operating temperature of a rack-mounted computer in a data center; determining that the operating power is at or near a threshold operating power of the computer; and adjusting the operating frequency of the computer based on the adjusted operating temperature of the computer.

The invention discloses an internal temperature on-line monitoring method of a traction transformer of V / X connection. The method comprises the following steps of: (1) acquiring the basic parameters of the transformer; (2) monitoring the current of a traction winding, the current of a positive feed winding and the temperature of top oil of the transformer on line and uploading the monitored data to an upper computer; and (3) calculating the on-line monitored data by utilizing an internal temperature rise calculating formula established on the basis of an internal temperature rise thermal circuit model of the traction transformer of V / X connection to obtain the internal temperature rise condition during the running of the traction transformer of V / X connection. The invention particularly aims at the traction transformers of V / X connection, which are widely applied to heavy haul railways and high speed railways in China at present, has the advantages of simple system structure, less data required to be monitored, easy monitoring, simple data processing process and lower requirement for computer performance; and an ordinary industrial personal computer can meet the requirement for operation, thus the calculating precision is higher.

The invention relates to a precise measuring method of an earth gravity field, in particular to a satellite gravity inversion method based on an inter-satellite velocity interpolation principle; an inter-satellite velocity interpolation observation equation is established by leading high-precision inter-satellite velocity into a satellite-satellite link component of the relative orbital velocity vector of double satellites, so as to precisely and quickly invert the earth gravity field; the method has high satellite gravity inversion precision, so that the physical meaning of the satellite observation equation is clear, the gravity satellite system sensitivity analysis is easy, the exploration of gravity field signals in medium and short wave is favorable, and the requirement on computer performance is low; and an inter-satellite velocity interpolation method is an effective method for resolving the earth gravity field with high precision and high spatial solution.

The invention discloses a method for building a global gravitational field model by utilizing an inter-satellite distance interpolation. The method disclosed by the invention is as follows: an inter-satellite distance interpolation satellite observation equation is built through introducing the precise inter-satellite distance of a satellite-borne K waveband gauge into a star attachment componentof a double-star opposite rail position vector so as to build a global gravitational field model with high precision and high spatial resolution. The method has high satellite gravity inversion precision, explicit observation equation physical meaning and low computer performance requirement, is easy to sense medium and high frequency gravity field signals, and is favorable for the error analysisof the gravity satellite system.

The invention provides a method for correcting well shaft pressure in real time, and belongs to the technical field of petroleum drilling engineering. The method comprises the following steps: computing, according to basic parameters of bored well shaft pressure and pressure-controlled drilling boundary conditions, to obtain an annular pressure loss value before correcting of a to-be-measured well, and computing to obtain a hydrostatic column pressure value of the to-be-measured well; acquiring a practically-measured well bottom pressure value of the to-be-measured well by virtue of a pressure monitoring system while drilling PWD, and correcting, based on the pressure conservation principle, any one of well shaft pressure, wherein the well shaft pressure comprises well bottom pressure, annular pressure loss and well-mouth return pressure. According to the method provided by the invention, the well shaft pressure data is acquired based on the pressure conservation principle, and the well shaft pressure is corrected in real time by virtue of well shaft pressure data acquired by the PWD, so that the method has the characteristic that the correction for the well shaft pressure is simple, convenient, quick, and relatively high in precision; moreover, complex mesh generation and discrete solution on a control equation set are not required, so that requirements on performance of a computer are relatively low, and therefore, the method is more suitable for a site working condition for drilling construction.

The invention relates to the field of interleaving techniques such as satellite geodesy, geophysics, space science and the like, and provides a satellite gravity inversion method based on a two-star energy interpolation principle. In the method, the global gravity field is accurately and rapidly inverted by introducing high-accuracy inter-satellite distance interpolation of a satellite-loaded K waveband measuring instrument into two-star relative orbits kinetic energy and further establishing a two-star energy interpolation observation equation. The method has the advantages of high satellitegravity inversion accuracy, definite physical meanings of the observation equation, contribution to error analysis of a gravity satellite system, easiness for sensing high-frequency gravity field signals and low requirement on the computer performance. The sensing accuracy of a 120-step GRACE earth gravity field can be increased substantively, so that the two-star energy interpolation principle method provided by the invention is an effective method for establishing a new generation high-accuracy and high-space-resolution global gravity field model.

The invention discloses a metal plate strip product label information identification method based on computer vision. the position of a product label area is obtained through segmentation of a lightweight network; the coordinate information of the product label is obtained through an image processing means; correction to enabline see-through transformer is realized, the VGG16 is used for identifying the rotating text; character rotation small-angle registration is carried out by using a variance method; the text position detection precision and the text recognition precision are effectively improved; YOLOv3 and ENet are adopted, so that text correction and position acquisition are faster and more accurate; the loss of the computer and the requirement on the performance of the computer areeffectively reduced; the detection of the text with the uncertain length is realized by utilizing the characteristics of the LSTM in the CRNN; The detection performance is effectively improved, the good recognition performance is achieved in natural scenes such as non-uniform illumination, complex backgrounds, multi-language mixing, text complex formats, product label picture rotation, affine distortion and perspective distortion, and convenience is provided for inputting of label information of metal plate strips.

The invention relates to a real-time volume rendering method of three-dimensional heart data based on GPU (Graphic Processing Unit) acceleration, belonging to the field of graph and image processing and solving the problems of low speed and high requirement on computer performance of the traditional volume rendering the three-dimensional heart data. The real-time volume rendering method of the three-dimensional heart data based on the GPU acceleration is realized based on a PC (Personal Computer) with a graphics card supporting Cg language. The volume rendering method concretely comprises the following steps of: firstly, reading and preprocessing data: organizing data of a plurality of slices of the heart to be drawn into a volume data file, packing the volume data file into a three-dimensional grain data packet and storing the three-dimensional grain data packet into the memory of the graphics card; secondly, converting data coordinates: converting the data coordinates in the there-dimensional grain packet obtained in the data preprocessing step into screen coordinates; and thirdly, outputting the volume data after the coordinate standardization by adopting a volume rendering method. The invention is also suitable for the volume rendering of other three-dimensional organs with complex structures.

The invention provides a design for a computer performance self-adjusting system. System adjusting and optimizing comprises a system performance monitoring module, an adjusting and optimizing enablement judgment module, an adjusting and optimizing automated module and a suggestion and setting module, wherein the system performance monitoring module is used for monitoring if a choke point of the system is caused by each part in the system. The monitoring content comprises a network busy degree, a central processing unit (CPU) running status, an internal storage usage status, a disc input and output (IO) status, an each progress CPU occupied status and a progress IO speed status.

A system and method for monitoring computer performance and repairing and / or optimizing system configurations. During these idle times, the present process executes a sequence of background system analyses that can trigger associated optimization, maintenance, or repair actions based on a comparison of current computer states and baseline optimal health data. If other tasks are initiated by a user of the system, while the present invention is performing any of its actions, the monitoring and repair program terminates itself and releases full control back to the user and operating system.

An apparatus, program product and method utilize a heuristic-based algorithm such as simulated annealing to order program code segments in a computer memory to provide improved computer performance in terms of memory access, e.g., by minimizing cache misses or other memory-related performance penalties that may be present in a multi-level memory architecture. Program code is ordered in a computer memory by selecting an ordering from among a plurality of orderings for a plurality of program code segments using a heuristic algorithm, and ordering the plurality of program code segments in a memory of a computer using the selected ordering.

A method of calibrating a computed tomography system includes the steps of mounting a scan geometry defining tool on a rotating object positioning unit of a computer tomography scanner. The scan geometry defining tool has structure of precisely measured dimensions. A beam is directed from an x-ray source of the computed tomography system through the structure of the scan geometry defining tool. A detected image after absorption of the x-ray from the scan geometry defining tool is analyzed, and utilized to determine a distance from the x-ray source spot location to the center of rotation of the object positioning unit. A beam is also directed from the x-ray source through a system performance test standard tool and analyzes a number of electronic and computer performance characteristics. The analyzed characteristics can be compared to expected characteristics to provide feedback on the operation of electronic and computer functions within the computed tomography system.

A method of calibrating a computed tomography system includes the steps of mounting a scan geometry defining tool on a rotating object positioning unit of a computer tomography scanner. The scan geometry defining tool has structure of precisely measured dimensions. A beam is directed from an x-ray source of the computed tomography system through the structure of the scan geometry defining tool. A detected image after absorption of the x-ray from the scan geometry defining tool is analyzed, and utilized to determine a distance from the x-ray source spot location to the center of rotation of the object positioning unit. A beam is also directed from the x-ray source through a system performance test standard tool and analyzes a number of electronic and computer performance characteristics. The analyzed characteristics can be compared to expected characteristics to provide feedback on the operation of electronic and computer functions within the computed tomography system.

In one embodiment, a method includes executing a first logging process, a second logging process and a categorization process in parallel on a computer system, wherein the first logging process identifies computer-performance events at a monitored resource. The method further includes the second logging process monitoring the first logging process for the computer-performance events. The method also includes, as particular computer-performance events at the monitored resource are detected, the second logging process recording the particular computer-performance events in a data store. The method additionally includes the categorization process parsing log entries of the second log. Further, the method includes the categorization process dynamically determining processing rules that are applicable to the parsed log entries. Also, the method includes the categorization process categorizing the parsed log entries using the dynamically determined processing rules. Moreover, the method includes the categorization process publishing a result of the categorizing to an interface.