192 results about "Preliminary analysis" patented technology

An image conversion system for converting monoscopic images for viewing in three dimensions including: an input means adapted to receive the monoscopic images; a preliminary analysis means to determine if there is any continuity between a first image and a second image of the monoscopic image sequence; a secondary analysis means for receiving monoscopic images which have a continuity, and analyzing the images to determine the speed and direction of motion, and the depth, size and position of objects; a first processing means for processing the monoscopic images based on data received from the preliminary analysis means or the secondary analysis means; a second processing means capable of further processing images received from the first processing means; a transmission means capable of transferring the processed images to a stereoscopic display system.

A method and system for multi-spectral imagery acquisition and analysis, the method including capturing preliminary multi-spectral aerial images according to pre-defined survey parameters at a pre-selected resolution, automatically performing preliminary analysis on site or location in the field using large scale blob partitioning of the captured images in real or near real time, detecting irregularities within the pre-defined survey parameters and providing an output corresponding thereto, and determining, from the preliminary analysis output, whether to perform a second stage of image acquisition and analysis at a higher resolution than the pre-selected resolution. The invention also includes a method for analysis and object identification including analyzing high resolution multi-spectral images according to pre-defined object parameters, when parameters within the pre-defined object parameters are found, performing blob partitioning on the images containing such parameters to identify blobs, and comparing objects confined to those blobs to pre-defined reference parameters to identify objects having the pre-defined object parameters.

The invention discloses a data calibration method. The data calibration method comprises the following steps of obtaining to-be-calibrated data and attributes of the to-be-calibrated data; performing preliminary analysis on the to-be-calibrated data according to the attributes of the to-be-calibrated data; determining a data type of the to-be-calibrated data according to a preliminary analysis result and a data type in a rule database; obtaining a rule of the data type of the to-be-calibrated data from the rule database; calibrating the to-be-calibrated data according to the rule of the data type of the to-be-calibrated data. The invention also discloses a data calibration device. According to the data calibration method and device, a rule for related universal various data types are collected in advance, the rule is processed and classified in a standard mode, then the rule database comprising a plurality of data types is established, calibration of the various data types can be achieved through the rule database, meanwhile complexities for data calibration work development is reduced, the maintenance workload is reduced, the data calibration accuracy rate and the calibration efficiency are improved.

The invention relates to a detecting and training method of EMG controllability which is used for installing a pattern-recognition-based artificial hand with EMG control and hyperdactylia multiple degrees of freedom. The technical proposal of the method comprises procedures as follows: a signal acquisition module is used for collecting the myoelectric signal data of the surface of a stump; a signal analysis module is used for carrying out preliminary analysis for the collected data to determine that the collected myoelectric signal data of the surface of the stump has separability and the feature value of the optimal separability; an off-line recognition module is used for performing network training and recognizing the data to be recognized to the collected myoelectric signal data of the surface of the stump to determine an optimum classifier, the options of the optimal feature values and the selection of specific parameters; and a sufferer can do control training and on-line training by using an on-line recognition module and a control training module according to the determined combination of the optimal classifier and the options of feature values.

A medication and dispensing system tracks the medication of multiple users over time and preferably combines this information with periodic test results provided to the system. The system is designed to allow remote access electronically to authorized users whereby doctors or other medical professionals can review the data of actual medication dispensed and preliminary test results accumulated over time. Preliminary analysis of the data is conducted by the system to determine alert conditions. Such alert conditions include incorrect medication dispensing (i.e. failure to take a prescribed medication) and test results that warrant investigation. Many different types of alerts may be programmed into the software of the device.

Described are techniques for processing a memory dump file. It is determined whether a memory dump file associated with a previous processor failure exists. In response to determining that the memory dump file exists, preliminary analysis of the memory dump file is performed. The determining step and the preliminary analysis are performed as part of rebooting a processor from the previous failure of the processor.

The invention discloses a method for obtaining disease potentially-associated genes based on multi-source information fusion. The method comprises the following steps of: predicting disease-associated genes found based on uncorrelated literature knowledge, predicting disease-associated genes based on functional similarity, predicting disease-associated genes based on a regression prediction model, respectively scoring associated genes obtained through prediction of disease-associated genes found based on uncorrelated literature knowledge, prediction of disease-associated genes based on functional similarity and prediction of disease-associated genes based on a regression prediction model, establishing preliminary analysis to the associated genes, and fusing results obtained in all steps to obtain a final judgment result to determine the disease potentially-associated genes.

The invention discloses a spam mail judging system based on behavior analysis. The system comprises a system interface for human-machine interface operation and acquiring user behavior data in real time from an online mail system, a user behavior collection module responsible for acquiring various types of user behavior information from the system interface, performing preliminary analysis and statistics, and storing relevant results into a user behavior database through a database interface, a user creditworthiness model learning module for receiving various model parameters set by a user and the user behavior information from the user behavior database, learning user creditworthiness models and storing the learned user creditworthiness models into a user creditworthiness model base, and a user creditworthiness estimation module for estimating the creditworthiness of each user and updating an estimation result into a user creditworthiness database. In the spam mail judging system, the current mail sending behavior and historic mail sending behaviors are considered at the same time; and the manual examining quantity is reduced greatly.

The invention discloses a CAN bus analysis system with a bus error analysis function. According to the CAN bus analysis system with the bus error analysis function, a bus signal is detected to record normal frames and transmission time stamps on a bus; when an error occurs to the bus and an erroneous frame exists, a bus error signal is triggered, the erroneous frame and a time stamp on the bus are recorded, the erroneous frame and an interrupted frame are subjected to analytical analysis, the type of the erroneous frame and the address of an interrupted node are determined, and the recorded information is transmitted to a backstage for follow-up processing. Compared with the prior art, the CAN bus analysis system with the bus error analysis function has the advantages of being capable of recording the information of the normal frames and the erroneous frame, having the bus error analysis function, and being capable of conducting pattern recognition according to bus analog signals, acquiring the source address of the interrupted frame, and providing preliminary analysis for positioning a failure node.

Provided herein are methods for preliminary analysis of suspect samples, which can be used in triaging possible contaminated sites (e.g., sites contaminated or thought to be contaminated by biowarfare agents). In some embodiments, the methods involve testing for the presence of protein in the suspect sample; optionally, the sample can also be tested for the presence of sugar, and/or for pH determination. Specific embodiment methods are carried out in tubes or other reaction vessels, others are carried out in a pad format, and still others are carried out in a test strip format. Kits for carrying out the described methods are also provided.

The invention discloses a laser-induced breakdown spectroscopy (LIBS)-based tea classification and identification method, and belongs to the field of spectral analysis. The method comprises the following steps: performing preliminary analysis on elementary composition of a tea sample by using an LIBS detection device and selecting the characteristic spectral line of an element with larger content difference as an analysis index; then collecting a plurality of groups of spectrums for each standard tea sample and dividing the spectrum data of each standard tea sample into two parts, wherein one part is used as a training sample to establish a discriminant analysis model, and the other part is used as a test sample for estimating the accuracy of the discriminant model; performing discriminant analysis on to-be-tested tea sample, then adjusting an established classification model, and comparing with the LIBS spectrum data model of each element in an established database to determine the type of to-be-identified tea. The method has the advantages of high discrimination accuracy and simple process, and can provide a reference method for detection of the tea and the type recognition.

The invention relates to a frequency safety online monitoring and assessment method of a power system, which comprises the following steps: (1) setting a transient frequency safety binary table (fcr, fcr); (2) acquiring real-time frequency data of all monitoring points of the power system from an energy management system (EMS); (3) filtering the dynamic frequency data of all the monitoring points on the basis of a moving average method; (4) primarily analyzing the frequency data; (5) analyzing every group of dynamic frequency data, and calculating a frequency safety margin index according to the relationship between a frequency curve and the binary table (fcr, fcr) by the following three conditions: (1) tb = 0; (2) 0 < tb < tcr; and (3) tb > tcr, wherein tb is time that the frequency curve in an observation window deviates from fcr, and a frequency safety quantitative assessment method which takes frequency deviation cumulative effect is applied to the frequency safety margin calculation; and (6) comprehensively analyzing the frequency safety margin calculation results of all the monitoring points, taking the minimum margin value as a system frequency safety margin, and feeding back the system frequency safety margin to the energy management system for information display.

The invention relates to the technical field of electric power operation, specifically to a regulation and control integrated data analysis and aid decision making system and method under ultrahigh-voltage alternating current and direct current networking, and provides a relatively effective guarantee for safe and stable operation of a power grid and relatively intelligent power grid operation risk aid decision making for electric power operation under an ultrahigh-voltage alternating current and direct current hybrid background, so as to rapidly judge and handle a power grid accident. The data analysis and aid decision making system provided by the invention includes a monitoring data analysis and regulation and control integrated operation aid decision making platform, a transformer substation operation risk assessment platform, a monitoring operation intelligent analysis platform and an expert knowledge base. A working method of the system includes the steps of data acquisition and storage, establishment of a monitoring information contrastive analysis calculation model, information screening and preliminary analysis of the calculation model, intelligent analysis of monitoring signals, storage of analysis results, regulation and control signal risk grading, hierarchical comparison and display of data, dynamic alarm prompt of data and the like.

The invention provides a method used for brain health cognitive disorder diagnosis and risk evaluation. A client-side and a server need to be provided, and the server is further provided with a database. The method comprises the steps of providing a test interface for a user through a client-side wherein the test interface is used for conducting a brain health test, and the brain health test comprises a visual space test part, a character color test part, a memory and cognitive function test part and a mental disorder test part; after the test interface completes tests of all the parts, using the test interface to transmit test data to the server; using the server to analyze the received test data to obtain a preliminary analysis result and feed the preliminary analysis result back to the server, and storing the test data and the preliminary analysis result into the database for a doctor to refer to and conduct further diagnosis at the same time. The invention further provides a system used for brain health cognitive disorder diagnosis and risk evaluation, the purpose that the user conducts an accurate brain function test at any time and any place is achieved, treatment is conveniently conducted timely, and the test efficiency is drastically improved.

The invention discloses a reminding device and a reminding method for preventing fatigue driving. The device comprises a control unit and a reminding unit. The control unit comprises an infrared face pickup module, a preliminary analysis module, a brain wave acquisition module, and a matching and judging module. By adopting the technical scheme of the invention, the reminding device for preventing fatigue driving can acquire face information and brain wave data of a vehicle driver in sequence and accurately judge a generated fatigue state to remind the driver and prevent the driver from fatigue driving. Statistical analysis of face information is made first, and then, brain wave contrast and correction is carried out. Thus, the obtained fatigue state can be judged more accurately, and the effect of fatigue driving prevention is better.

The invention discloses an automobile active anti-collision auxiliary control device and a control method thereof. The automobile active anti-collision auxiliary control device comprises a vehicle sensor module, a pre-processing module, an Internet of Vehicles communication module, a vehicle-mounted auxiliary module and a master control module. The pre-processing module performs preliminary analysis and processing according to the road surface lane information, the vehicle motion state information and the nearby obstacle motion state information which are collected by the vehicle sensor module. The master control module receives the data compiled by the pre-processing module and the Internet of Vehicles communication information and calculate and determine whether collision risks exist ornot, and classifies in a collision form and outputs corresponding control commands to the vehicle auxiliary module. The vehicle auxiliary device module is mainly used for real-time display of controlinformation and voice warning, and performs active braking and steering control to compensate for unnecessary injuries caused by the failure to react or beyond reaction or even faulty operation of a driver.

The invention discloses a wind power equipment fault diagnosis method and system. According to the invention, related data of wind power equipment is comprehensively collected, a data warehouse is built, the data integrity is ensured, a data basis is provided for data mining, fault data is extracted from historical data of the data warehouse, the fault data is converted and loaded to the data warehouse so as to build a multi-dimensional data model and a fault fact table, preliminary analysis is performed on the data by adopting clustering analysis, data correlation analysis is performed by integrating various types of data, comparative judgment is performed, integration of multiple intelligent criteria is formed, and wind power fault diagnosis example explanation is performed according to the intelligent criteria. The wind power equipment fault diagnosis method has the advantages of complete criterion, advanced method and accurate judgment, provides a new method for power equipment fault judgment, overcomes defects and disadvantages of a single method and improves the accuracy of fan equipment fault diagnosis.

The invention discloses a high-efficiency bench blasting method for interbedded rock mass and relates to the technical field of rock-mass blasting. The high-efficiency bench blasting method comprises the following steps of: step (1), primarily analyzing the geological structure of a blasting area; step (2), understanding detailed space information and interbedded structure of a blasting area; step (3), testing rock-mechanics properties of a main stratum of the blasting area, simplifying interbedded space information, establishing a blasting numerical model and analyzing an energy leaking area; and step (4) optimizing a blast-hole charging structure according to a simulation result, and adopting a sectional difference density charging method for charging. The high-efficiency bench blasting method disclosed by the invention has the beneficial effects that the main energy leakage area is explored by adopting a numerical analysis as a means, and the sectional difference density charging method is adopted, so that the problems of high boulder yield, more bedrocks and large explosive consumption in full-hole charging or common sectional charging are effectively reduced; and simultaneously, the high-efficiency bench blasting method is also conductive to reducing the operation time of field blasting, and has the advantages of simple process, low cost, good site operability and strong adaptability.

The invention discloses a method for processing data in a queue serialization way. The method comprises the steps as follows: S1, setting a fast buffer region and a slow buffer region at a communication port; S2, receiving input initial data, dividing into fast data and slow data according to the preliminary analysis, and correspondingly placing in the fast buffer region and the slow buffer region by a one-way queue structure to form a data frame; S3, judging if the data frame is legal, if so, entering the step S4, if not, entering the step S3, and abandoning the data frame; and S4, dequeuing, analyzing and displaying the data frame in a queued way. The invention further discloses a device for processing the data in the queue serialization way. According to the method and the device, the data is processed in the queue serialization way, so that the data processing process is faster and the real-time performance is improved.