125results about How to "Shorten assessment time" patented technology

The present invention is related to a method or system for the detection of abnormalities in a biological sample comprising cells. Said method or system comprises at least the following steps, or is capable to carry out, and/or comprises means capable to carry out, at least the following steps, respectively: a) acquiring an image of said sample by digital image acquisition, b) optionally, carrying out digital image processing, c) selecting a field of view, d) determining, by digital image processing, whether or not, in said field of view, cell aggregates exist, and e1) selecting a new field of view and carrying on with step c) if, in step d), it turns out that, in said field of view, the determination of cell aggregates is negative, or e2) carrying out further process steps if in step d), it turns out that, in said field of view, the determination of cell aggregates is affirmative.

The invention relates to a shallow groove isolation formation method. The method comprises the following steps: a semiconductor substrate with a groove is provided; pad oxide layers are formed on the bottom part and the side wall of the groove, and in situ annealing is performed; insulation substance is filled into the groove. The shallow groove isolation formation method of the invention can reduce the transmission frequency of the substrate, reduce the pollution, ensures the process to be simplified, and reduces the cost.

A method and system are provided for non-contact evaluation of a machined surface of a cast-metal part, including a vision-based porosity inspection station. A digital image of the machined surface is acquired, oriented and scaled to an XY coordinate system, filtered, and inverted. A second image is generated with known design surface features eliminated. Each pixel of the inverted digital image is XOR-compared with a corresponding pixel of the second image. Identified common surface features common to both images is analyzed statistically for conformance to a threshold. A defect is identified as any identified surface feature common to both images which exceeds the threshold. The system moves the part for further processing if a statistical analysis of defects indicates an acceptable component, and alternatively, removes the part from further processing if the analysis indicates a flawed component.

The invention discloses a Markov chain Monte Carlo method-based photovoltaic power station reliability evaluation method. The method is used for a concentrated photovoltaic power station composed of n power generating units; each power generating unit includes a photovoltaic array, a direct current combiner box, a photovoltaic inverter and a transformer; and the power generating units are finally connected into an alternating current power grid. The method includes the following steps of: establishment of the Markov chain models of each component; state sampling; operation process simulation; and judgment algorithm convergence. The method of the invention has high stability, and has high correctness and superiority in reliability evaluation of large-scale photovoltaic power stations.

An accelerating method for measuring barrier property of organic coating, which is to put a smeared multiple-electrode probe or smeared coupon into a liquor with three to five percent of NaCl for some time of ultrasonic vibration. Later to test the barrier property of the organic coating through wet heat and electrochemistry. With the deployment of ultrasonic vibration, this invention can greatly decrease the testing time of barrier property to the ten percent of original time and can effectively shorten the circle of new product development and on-line measuring and monitoring and can overall evaluate adhesive force of organic coating and can improve the measuring efficiency of barrier property of organic coating so as to save manpower and materials. This invention is especially suitable for the measuring of barrier property of organic coating with good barrier property.

The invention relates to an RPC plate damage evaluation method based on a P-I curve under an action of explosion load. A explosion load point is evaluated according to explosive payload of TNT explosive and explosion distance; based on an equivalent unidirection method, motion histories of a certain point of an RPC plate component is evaluated, a midspan displacement time-history curve of the RPCplate under bending response is acquired, and the displacement peak value of the curve is acquired; an equivalent unidirection system under shearing response is established, a displacement time-history curve of a support seat position of the RPC plate under the shearing response is acquired, and the displacement peak value of the curve is acquired; a damage degree evaluation criterion is defined;the displacement peak value under the midspan bending response, the displacement peak value under the support seat shearing response and the damage degree evaluation criterion are utilized, and thus aP-I curve graph is drawn; and the explosion load point is drawn in the P-I curve graph, and the damage degree is determined. According to the RPC plate damage evaluation method based on the P-I curveunder the action of the explosion load, the possibility that shearing damages occur at the support seat position of the PRC plate component is considered, the evaluation method is safer, and comparedwith an existing evaluation method, the evaluation time can be shortened.

The invention discloses a method for evaluating the reliability of a command and control system. The method comprises the following steps of: acquiring the accumulated operation time and the accumulated failure number of various units in the command and control system; determining the type of the command and control system, and calculating the accumulated operation time and the accumulated failure number of the command and control system according to the type of the system and the accumulated operation time and the accumulated failure number of various units; calculating a lower confidence limit of the mean time between failures MTBF of the command and control system according to the accumulated operation time and the accumulated failure number of the command and control system; and calculating a reliability evaluation result of the command and control system according to the accumulated operation time and the accumulated failure number of the command and control system and the lower confidence limit of the mean time between failures MTBF of the command and control system. Compared with the before evaluation method, the technical scheme provided in the invention has the advantages that: the evaluation time is shortened; the evaluation efficiency is increased; and furthermore, by means of the reliability evaluation result, objective basis is provided for determining whether the reliability of the command and control system satisfies requirements or not.

The invention provides a vehicle remote detection method and device. The vehicle remote detection method comprises the following steps of receiving detection information of a to-be-detected vehicle, sent by remote equipment, wherein the detection information comprises a vehicle image of the to-be-detected vehicle, and text information used for describing the to-be-detected vehicle; identifying fault and defect information of the to-be-detected vehicle from the detection information; and generating a detection report of the to-be-detected vehicle according to the fault and defect information. Through the vehicle remote detection method and device provided by embodiments of the invention, as long as the detection information of the to-be-detected vehicle is remotely acquired, the second-handvehicle can be detected, so that the evaluation time of the second-hand vehicle is shortened, and the evaluation efficiency of the second-hand vehicle is greatly improved.

The invention provides a method and device for assessing the application data security risk. The method includes the following steps: acquiring first word string data in an input application; generating a sensitive data feature library according to the first word string data; acquiring first file list information generating file modification during operation of an application; generating a local storage word string library according to the first file list information; and matching the sensitive data feature library and the local storage word string library to obtain risk items of input data and risk values corresponding to the risk items. Through the method and the device, generation of the sensitive data feature library, collection of storage contents, and matching can be automatically performed, a mass of repeated manual works can be replaced, and the cost of application data security assessment can be reduced.

The invention discloses a stretching nonlinear scaling method for imaging processing of a forward squint-looking sub-aperture of synthetic aperture radar, which belongs to the technical field of the imaging of the synthetic aperture radar. The method comprises the steps of: carrying out range distance processing on sub-aperture echo data acquired by the synthetic aperture radar under the forward squint-looking condition by adopting a nonlinear scaling method; describing the phase characteristic of an echo signal in a range-doppler domain by adopting a third-order model and compensating the change of the range distance modulating frequency so as to realize range distance focusing; and then carrying out azimuth processing by adopting a frequency spectrum analysis method to realize imaging of the forward squint-looking sub-aperture of the synthetic aperture radar. The method has good imaging consistency and reduces calculated quantity of imaging processing.

The invention provides a system for assessing human health risks caused by groundwater pollution, and relates to the field of data analysis and processing. The problems such as long assessment time, large labor and cost input, more influences of artificial experience on assessment results and assessment result incompleteness caused by artificial assessment are solved. According to the technical scheme, the system comprises a storage module, an input module and a pollution risk assessment module, the storage module is used for storing physicochemical property parameters and toxicological data of groundwater pollution, the input module is used for inputting groundwater pollutant types, environmental concentration and human health risk parameters of a to-be-assessed region, and the pollution risk assessment module is used for searching the physicochemical property parameters and the toxicological data of groundwater pollution according to the pollutant types, the environmental concentration and the human health risk parameters so as to determine level of pollution risk.

An encryption evaluation support system, includes an evaluation executing unit, and a point storing unit. The evaluation executing unit receives a figure representation of an encryption algorithm. The figure representation includes a plurality of unit figures. The point storing unit stores points allocated to the plurality of unit figures respectively. The evaluation executing unit gives the points to the plurality of unit figures of the figure representation, respectively, to output the points given to the plurality of unit figures of the figure representation.

A calibration circuit is configured to provide automatic feedback calibration during a tuning cycle. Automating the calibration process reduces the engineering evaluation time and mass production test time. The calibration settings vary as a function of frequency, and the calibration circuit automatically determines the proper calibration for any frequency application. The calibration circuit enhances communication performance by comparing and computing a time difference between a reference path and a feedback path. The calibration circuit is configured as part of a phase modulation path within a modulation circuit. The calibration circuit provides for calibration without prior knowledge of the system and reduced factory test time. The calibration circuit provides numerous advantages, including, but not limited to, accurate system results for time, frequency, temperature, and process variations with each calibration, or tuning.

The invention provides a trade finance evaluation method and a device based on a block chain, applied to block chain networks, the block chain network is respectively connected with a requester service platform corresponding to a trade finance evaluation requester and a related service platform corresponding to a related trade institution of the evaluated party, The method comprises the followingsteps: receiving a trade finance evaluation request sent by the requesting business platform, wherein the trade finance evaluation request includes an appraised party identification; determining trade-related data uploaded by a relevant business platform corresponding to a relevant trade institution of the appraised party according to the appraised party identification; evaluating an evaluation index of the evaluated party based on the trade-related data, and returning the evaluation index to the requesting business platform. By using the characteristics of transparent data sharing on the block chain, the trade-related data of the relevant business platform can be automatically obtained, the evaluation efficiency can be improved, the evaluation time can be shortened, and the processing cost and the complexity of the business process can be reduced.

The invention discloses an information security big-data resource management system based on trusted computing and cloud computing. The information security big-data resource management system comprises a data resource storage unit, a data resource classification unit, a key unit based on trusted computing, a data resource searching unit, a task planning unit, a trusted combination evaluation unit and a service deployment unit. A system architecture is that a credibility evaluation mechanism and a trusted relationship transmission mechanism are constructed on the basis of characteristic foundation including a protective function, authentication and integrity measurement, so that a trusted chain from data resource storage, data resource searching to data resource service distribution is established. By means of the information security big-data resource management system disclosed by the invention, effective management of big-data resources is realized; and the security and the creditability of the system are improved.

The invention relates to a hyper-parameter optimization method and device, computer equipment and a storage medium. The method comprises the steps of acquiring a preset number of hyper-parameter setsand predicting the hyper-parameter set score of each hyper-parameter set through a trained empirical model; screening candidate hyper-parameter groups from the hyper-parameter groups according to thehyper-parameter group scores; according to the candidate hyper-parameter set and a preset machine learning operator, performing model training according to the training sample set corresponding to thetarget problem to obtain a trained target problem prediction model; testing the target problem prediction model according to the test sample set corresponding to the target problem to obtain an evaluation value corresponding to the candidate hyper-parameter group; updating a reference evaluation value currently corresponding to the target problem according to the evaluation value, and returning to the step of obtaining the preset number of hyper-parameter sets to continue to be executed until an iteration stop condition is met; and determining the candidate hyper-parameter set corresponding to the reference evaluation value as a target hyper-parameter set. The optimization efficiency can be improved.

The invention provides a method for detecting medical wastewater. The method comprises the following steps of: (A1) collecting medical wastewater to be detected, and adding a culture medium into the medical wastewater to be detected; (A2) irradiating light emitted by a light source into a mixed liquid of the medical wastewater to be detected and the culture medium; converting light signals of the mixed liquid, which are received by a detector, into electric signals and transmitting the electric signals to a judgment sub-module and a calculation sub-module, wherein the electric signals correspond to detection time; (A3) judging whether the medical wastewater to be detected meets a sterilization requirement according to a variation tendency of the received electric signals within a pre-judging period, and transmitting a judgment result to the calculation sub-module by an analyzing module; and (A4) when the received judging result is yes, calculating a concentration of a colony to be detected in the medical wastewater to be detected according to the follow-up received electric signals by the calculation sub-module. The method disclosed by the invention has the advantages of strong instruction meanings, short detection time, high accuracy and the like.

The invention discloses a cloud computing based disease self-diagnosis service construction system, which comprises a data resource collection module, a task planning module, a credible combination assessment module and a disease diagnosis model generation module, wherein the data resource collection module comprises a modeling submodule, a resource replication submodule and a resource search submodule, and the credible combination assessment module comprises an assessment submodule and an assessment optimization submodule. The cloud computing based disease self-diagnosis service construction system is provided with the data resource collection module, thereby facilitating users to use data resources through matching service description information, further increasing the coverage rate of data resource information in the network, and improving the search efficiency of medical record data resources; and the cloud computing based disease self-diagnosis service construction system is provided with the credible combination assessment module in order to efficiently realize low-cost disease self-diagnosis services, the credibility of a big data service supporting cloud service combination scheme is improved, and storage and computing resources of the cloud are utilized in a maximum benefit manner. In addition, the assessment time is saved, and the assessment speed is improved.

The invention discloses a channel frequency generation method and device and a channel evaluation circuit. The method includes the following steps: generating a channel frequency for next transmissionat a frequency hopping sequence generation module according to an input parameter and a basic frequency hopping sequence; determining whether the channel frequency is available according to channel quality evaluation through an AFH channel mapping module, and when available, outputting the first channel frequency as a channel sequence of an RF module; and when not available, generating a channelfrequency for the next transmission at the AFH channel mapping module according to the input parameter and the basic frequency hopping sequence, and when the generated channel frequency indicates an available channel, outputting the channel frequency as the channel sequence of the RF module. By adopting the scheme of the invention, the process of transmitting data by using an interference channelcan be avoided, the performance of a transmitter and the quality of a transmitted signal can be improved, and the interference of the channel with the transmitted signal can be reduced; and further, ascheme implemented by a hardware circuit is also provided, and the quality of communication transmission can be greatly improved.

The invention discloses a coal seam impact risk real-time evaluation method based on a measurement while drilling technology. The method comprises the following steps of synchronously acquiring drilling parameters and drilling cutting quantity data of a drilling machine as sample data while drilling a coal body; establishing a multiple linear regression model, a neural network model and an optimized neural network prediction model; using drilling parameters as input of a prediction model and drilling cuttings as output, comparing and selecting an optimal model as a final prediction model, andautomatically updating the final prediction model to a field construction mobile terminal and an overground computer terminal; when daily impact risk assessment is carried out on a coal seam, analyzing drilling parameters acquired from a pre-assessed coal body automatically by utilizing a final prediction model, so that impact risk assessment is carried out on the coal body. According to the method, the collection work of the drilling cuttings is reduced, the impact risk evaluation procedure of the coal body is greatly simplified, the evaluation time is shortened, and the evaluation cost is reduced.

This invention is directed to a tribological apparatus and method incorporating a ball, a support, and means for maintaining a substantially constant force between the ball and a test surface. The ball rolls against the rotating test surface producing a wear track. Analysis relating to wear and fatigue can be performed on the test surface subsequent to producing the wear track.

The invention discloses a method and a device for assessing neural network performance. The method comprises the steps of obtaining an evaluation parameter set, a training image set and a to-be-evaluated neural network set; wherein the evaluation parameter set comprises a target sampling rate and a target period number; wherein the evaluation parameter set is obtained through a preset rule; wherein the preset rule is used for guiding a user to adjust a reference parameter set to obtain the evaluation parameter set; using the target sampling rate to sample from the training image set to obtaina sample image set, using the sample image set to train the to-be-evaluated neural network set for N cycles to obtain a trained to-be-evaluated neural network set, and obtaining an evaluation result based on the trained to-be-evaluated neural network set; wherein N is the target period number. The invention further discloses a corresponding device. According to the preset rule provided by the embodiment, the parameters in the reference parameter set are adjusted, and the evaluation accuracy can be improved while the evaluation time is shortened.

The invention relates to a device and a method for authenticating a value document with a luminescent characteristic substance. An evaluation of the detected luminescence radiation based on an integrated luminescence measurement obtained by integrating the measured luminescence radiation over a track extending transversely to the value document makes it particularly easy to detect and distinguish weakly luminescent characteristic substances.

The invention discloses a physical examination system based on cloud calculation. The system comprises a physical examination data collecting module, a physical examination data processing module and a physical examination result display module, wherein the physical examination data processing module comprises a task planning submodule, a credible combination assessment submodule, a task execution submodule and a physical examination callout submodule. According to the invention, health examination and physical state examination can be completed for users without going to hospitals or physical examination centers, physical examination data search efficiency is improved while the physical examination data is processed, the speed for analyzing the physical examination result is further increased, and the processing cost is lowered.