170 results about "Process evaluation" patented technology

The invention provides a method for detecting and tracing three-dimension face action based on video stream. The method include steps as follows: detecting face and a key point position on the face; initializing the three-dimension deformable face gridding module and face texture module used for tracing; processing real time, continuous trace to the face position, gesture and face action in follow video image by using image registering with two modules; processing evaluation to the result of detection, location and tracking by using a PCl face sub-space, if finding the trace is interrupted, adopting measure to restore trace automatically. The method does not need to train special user, has wide head gesture tracing range and accurate face action detail, and has certain robustness to illumination and shelter. The method has more utility value and wide application prospect in the field, such as human-computer interaction, expression analysis, game amusement.

The invention discloses a human-machine interactive assembly process planning system of the manufacturing field. In the system, an assembly data preprocessing module establishes a corresponding collision detection model corresponding to a CAD geometric model of each part, designates an assembly constraint element, and establishes an assembly relation tree; a virtual assembly simulation module extracts data required by the virtual assembly to establish a virtual assembly simulation scene; an assembly auxiliary analysis module achieves dynamic playback of an assembly procedure, statically displays an assembly track of the part, and computes a distance between the models; an assembly process generation module acquires assembly procedure data from a virtual assembly database, generates an assembly process by reference to entries of a standard assembly process in the database, and divides service positions; an assembly process evaluation module reads an assembly operation action and operation object data, computes the efficiency of the assembly procedure to obtain ergonomic analysis data; and a virtual assembly data management module executes a data maintenance task. The assembly process planning system achieves dynamic assembly and process planning functions of mechanical products in a virtual environment.

Methods, systems and program products for evaluating an IC chip are disclosed. In one embodiment, the method includes running a statistical static timing analysis (SSTA) of a full IC chip design; creating at-functional-speed test (AFST) robust paths for an IC chip, the created robust paths representing a non-comprehensive list of AFST robust paths for the IC chip; and re-running the SSTA with the SSTA delay model setup based on the created robust paths. A process coverage is calculated for evaluation from the SSTA runnings; and a particular IC chip is evaluated based on the process coverage.

The invention discloses an in-process evaluation based complex spatial surface error feedback compensating method. The method comprises the following steps of processing a complex surface cutting force module through a ball-end cutter, performing dynamic compensation for a target cutter location point for workpiece pre-processing; performing in-process detection for the pre-processed workpiece to obtain geometrical information of an actual contour; evaluating error for the pre-processed workpiece through a contour degree error evaluation model; when the contour error is greater than tolerance, determining a compensation point position U1 corresponding to each contact point; guiding the compensation point position corresponding to each contact point to three-dimensional CAD (Computer-Aided Design) to obtain a compensating process contour to generate a compensating processing tool track; and performing static compensation and processing for the pre-processed workpiece and finishing the flow. Under the premise of ensuring the processing precision of part surface, the processing precision of the part is detected in process without investing fund to purchase more detection devices, so that the conveying and loading time of workpieces is shortened.

An improved process and method for lifecycle digital maturity assessment, including process evaluation and ranking, and the creation of recommendations.

The invention discloses an emergency response dispatching method and a system based on three-level command mode of an enterprise. The method comprises dividing the enterprise in longitudinal direction from low to high into three levels, i.e. the base level, the second-level unit and the headquarters; reporting, receiving and checking information level by level; determining the level of an emergency plan to be started by analyzing the situation; automatically generating a disposal method according to the start step of the emergency plan; transmitting the emergency command to the low-level unit level by level and receiving the feedback in the response dispatching step; and the system of each level carrying out dynamic disposal tracking, disposal process evaluation, and disposal closing after the disposal process finishes. The method provided by the invention can realize the coordinated consultation among units of the three levels while handling an emergency event to realize multi-angle and all-around level-by-level or skip-level information report for the emergency event, and is improved and optimized to the three-level command mode based on the conventional two-level command, thereby improving the quality and efficiency in handling emergency events, and playing a key role in handling the emergency events.

An image processing apparatus includes a process flow building unit, a process flow execution unit, a display unit, a selection unit, a process flow evaluation unit, and a storage unit including a process flow database. In addition, an image processing apparatus includes an image processing parameter adjusting unit, a process flow execution unit, a display unit, a selection unit, a parameter evaluation unit, and a storage unit including a parameter database.

The invention discloses a complex industrial process data modeling method based on a dynamic convolutional neural network. The method comprises the following steps: process variables with strong correlation with industrial process objective variables are selected, and through sampling, a time sequence for each process variable is obtained; an equal depth box plot is used to carry out abnormal point detection and elimination on the time sequences, and a linear interpolation method is then used for filling; the time sequence for each process variable in a former process time delay range at the sampling moment of the objective variable is extracted, a two-dimensional matrix containing dynamic characteristics of the process is formed, and picture samples are formed; and the dynamic convolutional neural network is built to analyze the dynamic characteristics of the industrial process data, the time and space relation of each sensitive variable is recognized automatically, and a prediction model for the objective variable is built. A large amount of historical data accumulated in the actual production process field is used, a data model of predicting an unpredictable objective variable by using a predictable process variable is built accurately, and an important role is played in online production process evaluation, dynamic adjustment and even energy conservation and emission reduction.

A digital test module (5) is provided for testing a phase locked loop circuit. The module (5) includes phase detection circuitry (10) for performing phase measurements of the phase locked loop circuit and analogue test circuitry (20) for testing at least one analogue element of the phase locked loop circuit. Frequency measurement circuitry (30) is provided for performing frequency measurements of the phase locked loop circuit, as is circuitry (40) for performing calibration and jitter measurements. In this way cycle-to-cycle and phase jitter measurements may be made. A calibration mechanism is provided allowing a process evaluation to be made and which allows the jitter data to be provided in a few seconds. The fully digital design facilitates easy manufacture and ready retargeting of the module to diverse applications and processes.

The invention discloses a dynamic risk evaluation system of a pressure-bearing device. The dynamic risk evaluation system comprises a dynamic risk monitoring module, a data storage module, a failure mode and damage mechanism judging module, a dynamic risk evaluation module, a dynamic risk auxiliary analysis module and a dynamic risk GIS (global information system) display module, wherein the dynamic risk monitoring module is used for acquiring the dynamic monitored data of the pressure-bearing device in real time; the data storage module is used for storing the acquired data; the failure mode and damage mechanism judging module is used for carrying out the failure mode and damage mechanism judgment according to the static data stored by the data storage module and the monitored data which are acquired in real time; the dynamic risk evaluation module is used for evaluating the risk of the pressure-bearing device on the basis of a processing result of the failure mode and damage mechanism judging module; the dynamic risk auxiliary analysis module is used for further processing the evaluation result of the dynamic risk evaluation module; the dynamic risk GIS display module is used for intuitively displaying the further processed evaluation result. By adopting the dynamic risk evaluation system, the monitored data of a monitored device can be dynamically acquired from each monitoring system in real time, the risk grade of the device can be dynamically calculated according to the dynamically-acquired monitored data, and the risk grade can be intuitively displayed.

The invention discloses a cell die and a method for rapid evaluating cell matching degree. The method is characterized by using a specified die to prepare simulated cells or half cells, utilizing a simplified Arrhenius empirical formula to test and compute the reaction activation energy when different pole pieces are combined in a specified temperature range, and establishing a standard for judging the pole matching degree according to the reaction activation energy so as to evaluate the performance of relevant poles effectively. The method is applicable to pole pieces prepared from anode material and cathode material of various lithium ion batteries, can be widely applied to process evaluation, raw material evaluation and the like, has simple procedures, is easy to operate, has rapid andaccurate data, and effectively reduces the material cost and time cost in relevant work. The invention also provides a cell die which is easy to assemble, has high accuracy and can be used repeatedly.

The invention provides a performance evaluation system of a high-end server for the intermediary business of a bank, relating to a performance evaluation system of a server, and being used for evaluating the performances of an intermediary business server of the bank. In the system provided by the invention, the problem that services which are not related to the evaluation but to be required in an actual application are shielded in an evaluation system in the prior art is solved. The system provided by the invention comprises a model custom-made module, an initial data generating and loading unit, a load simulation sub-system, a database under evaluation server, a monitoring module, a control management platform and a statistic analysis module, wherein the load simulation sub-system generates a large number of concurrent virtual users and sends a transaction request to the database under evaluation server; the database under evaluation server completes a transaction processing procedure defined in an intermediary business model of the bank; the monitoring module is used for monitoring resource utilization conditions of the database under evaluation server in real time in the evaluation process; the control management platform controls intercoordination works of the other modules; and the statistic analysis module provides a statistic analysis function after the evaluation endsin accordance with the operating results recorded in the evaluation process.

Described systems and methods allow protecting a computer system from malware, such as viruses and rootkits. An anti-malware component executes within a virtual machine (VM) exposed by a hypervisor executing on the computer system. A memory introspection engine executes outside the virtual machine, at the processor privilege level of the hypervisor, and protects a process executing within the virtual machine by write-protecting a memory page of the respective process. By combining anti-malware components executing inside and outside the respective VM, some embodiments of the present invention may use the abundance of behavioral data that inside- VM components have access to, while protecting the integrity of such components from outside the respective VM.

The invention discloses a metal material tensile property evaluation method based on selective laser melting technology. The method includes the steps of: paving to-be-evaluated material powder on a substrate, using selective laser melting equipment to perform additive manufacturing molding of multiple tensile samples; intercepting at least one tensile sample randomly from the substrate, and calculating the nominal cross sectional area of the tensile sample; putting the substrate and the remaining tensile samples on a mechanical property testing machine to undergo tensile test, and recording the tension-displacement curve of each tensile sample; and subjecting the recorded tension-displacement curve of each tensile sample to data processing and analysis so as to acquire the maximum value, minimum value and distribution law of the corresponding to-be-evaluated material's mechanical properties under the technological conditions. The evaluation method provided by the invention not only greatly reduces the cost of the raw material powder, but also obviously shortens the test cycle, and is especially suitable for the initial material selection at the product design stage and the process evaluation of additive manufacturing.

The invention discloses an inspection image quality evaluation method and system based on saliency detection, and the method comprises the steps: carrying out the preprocessing of an original inspection image through a saliency detection algorithm based on the combination of a global part and a local part for a to-be-evaluated inspection image, and obtaining a saliency map of the inspection image;and based on the saliency map, using an edge description-based algorithm to calculate and obtain two indexes for describing the image ambiguity, and obtaining a quality score of the whole image according to the ambiguity indexes. In addition, the convolutional neural network algorithm based on deep learning adopts a partitioning evaluation strategy to calculate and obtain another quality scoringresult of the image; and finally, comprehensively processing evaluation results of the two algorithms by adopting a weighted fusion strategy to obtain a final score of the image quality.

The invention discloses a quick prediction method for permanent deformation of an asphalt road surface, based on all-temperature-region temperature distribution. The year temperature distribution frequency in a set year and the average permanent deformation capacity in a temperature region are used as basic parameters, according to the formula (as shown in the description), the permanent deformation capacity of an asphalt layer of the asphalt road surface in a designed year is obtained through calculation, and the calculation formula of the average permanent deformation capacity in the temperature region is f=a*N+c; and considering permanent deformation regularities of asphalt mix materials of different loads under different temperature conditions and superposition of the permanent deformation regularities, a thought of zoning, classifying and layering, namely a thought of temperature zoning, axle load classifying and road surface layering is introduced, and a permanent deformation calculating method of inverse calculation of accumulated effect frequency of superimposed load is established, so that a new manner is provided for quick prediction of the permanent deformation of the asphalt road surface under all-temperature-region condition, complete cover and overall process evaluation of the temperature and the axle load can be realized, the analysis result is closer to practice, the accuracy is high, and the applying range is wide.

The invention provides a riverway ecological runoff process evaluation method based on matter element analysis. The method comprises the steps that multiple existing methods are used for calculating and studying ecological flows of a drainage basin in all months, and the ecological flows are used for forming different ecological runoff processes; evaluation levels and division standards of the ecological runoff processes are determined; according to the ecological flows of all the months, matter elements to be evaluated are constructed, and according to the determined evaluation standards, classical domain matter elements and joint domain matter elements are constructed; the weight of all the evaluation indices is determined; the relevancy degree of all the evaluation indexes to all the evaluation levels and the comprehensive relevancy degree of all the evaluation levels are calculated, and the evaluation levels are determined according to the comprehensive relevancy degree; according to the evaluation levels, of the ecological runoff processes, calculated and obtained through different methods, and combined with the ecological water requirements of the studied drainage basin, the ecological runoff processes are determined comprehensively. The method constructs the evaluation standards of the ecological runoff processes, can conduct objective evaluation on the ecological runoff processes, is a new method for inquiring into the riverway ecological runoff processes, and also provides technical supports for ecological remediation of a downstream dewatering stream of a hydropower station.

The invention discloses an automatic driving system performance evaluation method and device, equipment and a storage medium. The method comprises the following steps of acquiring scene information, wherein the scene information comprises source data used for performing performance evaluation on all functional modules of an automatic driving system; for each functional module, performing performance evaluation on the current functional module according to the source data corresponding to the current functional module and output data of the previous functional module in an evaluation process toobtain a sub-functional performance evaluation result corresponding to the current functional module; obtaining an overall performance evaluation result of the automatic driving system according to each obtained sub-functional performance evaluation result, wherein realization of the function of the current functional module depends on the output data of the previous functional module in the evaluation process. Through the technical scheme, the overall performance evaluation of the automatic driving system is realized, and the overall capability of the automatic driving system can be known according to the evaluation result.

The invention discloses a three-dimensional intelligent auxiliary evaluation system and method for a power transmission and transformation project. The system comprises the following parts: a two-dimensional evaluation system used for declaring design data and closing-in auditing, and a three-dimensional evaluation system which is used for three-dimensional process evaluation, wherein the two-dimensional evaluation system uses a Webster platform and comprises an evaluation plan management module, an evaluation data collection module, a pre-evaluation module, a formal evaluation module, a closing-in auditing module and other management modules, and the three-dimensional evaluation system is composed of a three-dimensional evaluation module and a plurality of evaluation clients. According to the system, the engineering data management capability is integrally improved, a three-dimensional design evaluation authority management mode of the power transmission and transformation engineering is created, and strong data support is provided for orderly development of engineering construction.

Semiconductor process evaluation methods perform multiple scans of a test semiconductor substrate (e.g., test wafer) using ion beams under different ion implanting conditions. Parameters of the test semiconductor substrate that was scanned using the ion beams under different ion implanting conditions are then measured to conduct the semiconductor process evaluation.

The invention relates to the field of welding processes, in particular to a welding process evaluation method for a steel plate for a first-grade nuclear container. According to corresponding requirements of NB subsection of III section in ASME (American Society of Mechanical Engineers), by evaluating the welding process for the first-grade nuclear container steel plate, related experience of a test method for welding performances of a nuclear material is summarized and determined and the welding performance of the material in nuclear products is determined, so that the material can be widely applied to first-grade nuclear equipment.

The invention provides a coordinated optimization operation method based on a source network load. The method comprises the steps that (1) basic condition analysis is carried out, and economic status assessment and future development trend prediction are carried out on a construction target area; (2) system planning is carried out, and a decentralized energy module and a centralized energy module are constructed based on acquired data; (3) process evaluation is carried out, and an evaluation method based on a feeder control error and power grid static stability situation quantization is used to carry out comparative analysis is carried out to find project defects; and (4) coordinated optimization is carried out, and an active distribution network coordinated optimization method is used. According to the coordinated optimization operation method based on the source network load, integration of diversification energy industries is promoted; the energy utilization efficiency is improved; and the energy use safety level is improved.

The embodiment of the invention provides a portable electronic device evaluation method, a recovery method, a terminal, a cloud end and a system. A method for recover portable electronic equipment includes collecting evaluation data of equipment to be recovered by a recovery terminal; processing the collected evaluation data and sending the processed evaluation data to the recovery cloud or directly sending the collected evaluation data to the recovery cloud so that the recovery cloud can evaluate the equipment to be recovered to generate an evaluation result; the evaluation result sent by therecovery cloud being received, and the evaluation result being provided to the customer for the customer to carry out the recovery transaction. The portable electronic equipment recovery method provided by the embodiment of the invention can improve the data processing efficiency and the timeliness of data updating.

The invention discloses a machining process dynamic evaluation method based on digital twin. According to the technical scheme; perceptual data in the machining process are obtained and mapped and fused with process evaluation data to form twinning data, a dynamic evaluation method of the machining process is established, an evaluation result is output, dynamic adjustment of the machining processis achieved, the purpose of improving the reuse effectiveness of process knowledge is achieved, and technical support is provided for intelligent design of the machining process.

The invention relates to a printing and dyeing process sewage monitoring index time constraint associated rule mining algorithm, which is characterized by comprising the following steps of: 1, introducing an association relationship between pollutant discharge and production process evaluation to judge the time correlation of data on the premise of determining the segmentation of pollution parameter time constraint conditions; and 2, if the time is associated, performing fuzzy partition on a pollutant evaluation index range so as to mine a correlation function in a meta-rule fuzzy association mode. The algorithm can automatically and efficiently mine the observer-interested sewage discharge characteristics and an association mode in a selected time interval of a plurality of selected process technical indexes, can give the credibility of the rule, can clearly describe the relationship between the sewage discharge index change and the fluctuating production process in the form of the rule, and avoids the fuzziness and universality of analyzing and summarizing rules in the traditional technology.

The invention discloses an automatic dividing method of a city plot ratio, which comprises the following steps: utilizing an information-processing system taking a high performance computer as a core, taking geography data of a city downtown as model input data, taking city blocks as model process evaluation base maps, building a city plot ratio evaluation model, carrying out standardized revise through a Saaty method, determining the plot ratio numerical value of each block, and automatically outputting engineering drawings that can be directly used in the city overall planning through drawing equipment. The method overcomes the insufficiency that the subjectivity and the randomness exist when the city plot ratio division is carried out by utilizing the human brain intellectual activity to make a decision in a city construction project, and greatly improves the working efficiency.

The invention offers a culture medium for ultrahigh-concentration beer brewing strains, a method for screening the strains by using the culture medium, the strains screened by the method and a method for brewing beer with the ultrahigh-concentration beer brewing strains. The culture medium for screening the strain contains components 2-Deoxy-D-glucose. The screening method comprises the steps of acclimatization, cultivation, continuous separation, screening and process evaluation. The strains which are suitable for 20 DEG P ultrahigh-concentration wort and have the abilities of resisting 2-Deoxy-D-glucose and alcohol and deoxidizing diacetyl can be screened. By using the strains and method provided by the invention, the utilization rate of equipment can be greatly improved, and the production cost can be reduced. Compared with the beer fermented at normal concentration, the beer produced in the invention has better flavour and better taste.

A project pre-review estimate method capable of estimating influence of alteration in each process of a project on the whole process (project) considering structural alteration and fluctuating values regarding each process and their factors is provided. The project pre-review estimate method is carried out employing a process evaluation procedure which calculates quantitative and structural alteration amounts of the process plan using not only information on constraints (which has been used by conventional techniques) but also scenario information (in which probability of occurrence of a risk (i.e. a factor of alteration to a process) and the content / degree of influence regarding alteration of arbitrary processes caused by the occurrence of the risk are defined in a scenario format) and information for correcting parameters of the scenario by use of qualitative information on the project.