182 results about "Secondary 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 spam manager (101) receives (201) at least one e-mail (106) addressed to a domain (103). The spam manager (101) performs (203) a signature based analysis of received e-mail (106) to determine whether received e-mail (106) includes at least one signature indicative of spam. Responsive to the spam manager (101) identifying e-mail (106) that does not include at least one signature indicative of spam and to a timeout period not having transpired from a time of receipt of the e-mail (106) by the spam manager (101), the spam manager (101) performs (205) at least one secondary analysis of the identified e-mail (106).

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.

An system for detecting contraband, particularly explosives or other energetic materials. The system includes a source of ionizing radiation that irradiates an item under inspection. The radiation stimulates the emission of RF energy from objects within the item under inspection. The characteristics of the emitted RF energy reveals information about the material composition of the objects. The system detects this emitted RF energy and comparers it to a signature of RF emissions from contraband objects. Apparatus to detect and analyze RF emissions may be constructed as a stand-alone unit or may be incorporated into an imaging system in which the ionizing radiation is used to form an image of the item under inspection. Similarly, the RF analysis may be used, in the first instance, to determine whether an object contains a contraband item or may be used as a second level analysis to clear alarms generated by analysis of images formed by the imaging system.

A method and system for determining whether arcing is present in an electrical circuit. The methods includes sensing a change in an alternating current in the circuit and developing a corresponding input signal, analyzing the input signal to determine the presence of broadband noise in a predetermined range of frequencies, and producing a corresponding output signal. The method further includes determining a type of load connected to the electrical circuit, based at least in part upon the input signal and the output signal, incrementing one or more of a plurality of counters in a predetermined fashion in accordance with the input signal and the output signal and determining whether an arcing fault is present based at least in part on the states of one or more of a plurality of counters. The method also includes decrementing one or more of the plurality of counters based upon a secondary analysis.

Disclosed are compositions and methods for sensitive detection of one or multiple analytes. In general, the methods involve the use of special label components, referred to as multidimension signals. In the disclosed methods, analysis of multidimension signals can result in one or more predetermined patterns that serve to indicate whether a further level of analysis can or should be performed and / or which portion(s) of the analyzed material can or should be analyzed in a further level of analysis. In some forms, isobaric and non-isobaric elements can be used together in the same assay or assay system. Isobaric and non-isobaric multidimension signals used together can generate one or more predetermined patterns during analysis. The pattern generated in this first level of analysis indicates whether the second level of analysis should be performed. The second level of analysis can involve distinguishing the isobaric multidimension signals.

The invention discloses an internet-of-things gateway and a medical monitoring system comprising the same. The gateway comprises a sensing network access unit, a protocol conversion unit and a communication network access unit, wherein the sensing network access unit is used for receiving sensing data input by sensing equipment; the protocol conversion unit is used for analyzing the sensing data, calling a data adapting protocol according to an analysis result, coding the data subjected to secondary analysis by using a ubliquitous machine to machine protocol (UMMP) after performing secondary coding on the sensing data according to the data adapting protocol and outputting the coded sensing data to the communication network access unit; and the communication network access unit is used for selecting an access mode of the data and outputting the coded sensing data to the internet-of-things management platform in the access mode. The system has wide access capability and strong protocol conversion capability, so that the medical monitoring system comprising the internet-of-things gateway can be connected with the medical monitoring equipment supporting an international medical standard protocol to realize comprehensive monitoring on a patient.

The invention relates to an input method supporting multimode automatic switching. The method comprises the following steps of: analyzing an input mode of a user according to first stroke information input by the user, and if input is handwriting input, entering a handwriting input mode, tracking and identifying handwriting input in real time and completing input of a single character; if the input is keyboard input, entering a keyboard input mode, feeding back a user key pressing event and recording the input track of the user, performing secondary analysis on subsequent input of the user, and if the subsequent input is handwriting input according to the secondary analysis, clearing the historical marks of the keyboard input and entering the handwriting input mode; and if the subsequent input is keyboard input according to the secondary analysis, keeping the keyboard input mode. The invention further provides an input system supporting multimode automatic switching. Particularly specific to the problem of probable wrong judgment caused by the input of short strokes, all inputs which are determined as key trigger events are further determined and restored, so that wrong judgment is avoided to the maximum extent.

A method and system for determining whether arcing is present in an electrical circuit. The methods includes sensing a change in an alternating current in the circuit and developing a corresponding input signal, analyzing the input signal to determine the presence of broadband noise in a predetermined range of frequencies, and producing a corresponding output signal. The method further includes determining a type of load connected to the electrical circuit, based at least in part upon the input signal and the output signal, incrementing one or more of a plurality of counters in a predetermined fashion in accordance with the input signal and the output signal and determining whether an arcing fault is present based at least in part on the states of one or more of a plurality of counters. The method also includes decrementing one or more of the plurality of counters based upon a secondary analysis.

The invention provides a system for monitoring loosening parts of a nuclear reactor and a coolant system, solving the problems of reliability, compatibility, stability and maintenance convenience andcomprising an accelerometer, a charge amplifier, signal conditioning equipment, loosening part detection equipment, alarm processing equipment, sound monitor equipment, data collection equipment, a display, loosening part monitor software and the like. The system adopts a PXI bus technology so as to enable every two modules to be synchronized; a signal conditioning module adopts an FPGA programmable technology; a DSP digital technology is adopted to discriminate a loosening part event; loosening part signal length effective value floating discrimination, time delay, channel recheck combination discrimination, alarm prohibition caused by alarm channel recheck, control rod motion or coolant low pressure, and the like ensure that the system has a strong wrong alarming resistance capacity; the data collection equipment collects data to replace tape records so as to ensure the integrity of event signal records; and event signal waveform display and data storage can carry out display back and secondary analysis on signals.

Biosensor systems including a measurement device and test sensors including at least three independently addressable electrodes, with at least two of the electrodes being substantially chemically isolated are disclosed. One or more working electrodes may be combined with two or more counter electrodes. The two or more counter electrodes may operate at different potentials to provide for multi-analyte electrochemical analysis. Analysis methods are provided to perform multi-analyte electrochemical analysis and test sensors are provided having resistance to chemical mixing between secondary analysis regions.

A portable detector is disclosed for detecting certain analytes of interest, such as genetic material (e.g., nucleic acids). The detector includes a reading component for the detection of the analytes, and control circuitry for controlling operation of the reading component. Processing circuitry may be included to perform both primary analysis of acquired data, and where desired, secondary analysis. Where desired, some or all of the computationally intensive tasks may be off-loaded to enhance the portability and speed of the device. The device may incorporate various types of interface, technologies for reading and analysis, positioning system interfaces, and so forth. A number of exemplary use cases and methods are also disclosed.

The invention relates to cardiac-activity based prediction of a rapid drop in a patient's blood pressure during extracorporeal blood treatment. A proposed alarm apparatus (100) includes a primary beat morphology analysis unit (120), a bank of secondary analysis units (B2) and an alarm generating unit (158). The primary beat morphology analysis unit (120) discriminates heart beats in a received basic electrocardiogram signal (HECG), classifies each beat into one out of at least two different beat categories, and associates each segment of the signal (HECG) with relevant event-type data. The event-type data and the basic electrocardiogram signal (HECG) together form an enhanced electrocardiogram signal (ECGCL), based upon which the primary beat morphology analysis unit (120) determines whether one or more secondary signal analyses should be performed. Depending on the enhanced electrocardiogram signal's (ECGCL) properties, the bank of secondary analysis units (B2) performs none, one or more of up to at least two different types of secondary analyses, and for each analysis performed produces a respective test signal (PHRV, PEBC, PHRT)—The alarm generating unit (158) receives the test signals (PHRV, PEBC, PHRT), and triggers an alarm signal (α) indicative of an estimated rapid blood pressure decrease, if at least one alarm criterion is fulfilled.

The invention discloses a cerebrum cognitive status recognition method based on cerebral function imaging, comprising the following steps of: inputting experimental data series of cerebral nuclear magnetic resonance images; preprocessing the experiment data of the cerebral nuclear magnetic resonance images; establishing a multidimensional data set which includes a cerebrum coordinate dimension, acerebrum area dimension, an experiment time sequence dimension and a cognitive status dimension; extracting features; classifying and identifying the statuses. The invention extracts feature vectors from cerebral images of cerebra knowing the task statuses to train a support vector classifier, and classify the cognitive status for the feature vectors of an unknown cerebral image using the classifier. If the unknown cerebral image belongs to some category, then the cognitive state the category belongs to is identified as the cognitive status of the unknown cerebral image, thereby achieving theaim of cerebrum cognitive status recognition. The multidimensional data set of cerebral images of the invention are used for secondary analysis, treatment and integration of the cerebral images, thereby enabling the data calculation and analysis of the cerebral images to be more convenient, faster and more visual.

The invention discloses an interface testing method. The method comprises the steps that primary analysis is conducted on a to-be-tested message sent by a to-be-tested system to obtain a transaction code, a receiving interface format corresponding to the transaction code is determined according to the transaction code, and secondary analysis is conducted on the message according to the receiving interface format to obtain field data; when a matching rule matched with the field data does not exist, a scene identification corresponding to the receiving interface format is determined according tothe corresponding relationship between a preset receiving interface format and the scene identification, wherein a plurality of scene identifications are preset in a simulation baffle, and each sceneidentification corresponds to one type of feedback message; the feedback message corresponding to a test message is obtained according to the scene identification and sent to the to-be-tested system.According to the scheme, interface testing between systems also can be conducted when the matching rule cannot be matched, and therefore the effectiveness of interface testing is improved.

The invention discloses a communication network transmission type alarm uniform analysis device and method and relates to the field of communications. The device comprises a display module, an adaptive module, an interface module, a preprocessing analysis module, a secondary analysis module and a static data read-only module, wherein the display module, the adaptive module, the interface module, the preprocessing analysis module, the secondary analysis module and the static data read-only module are sequentially connected, the adaptive module completes delivery and transition of the service path and alarm correlation analysis services and is communicated with the display module, the interface module provides data for the preprocessing analysis module, and outputs alarm correlation analysis results, the preprocessing analysis module conducts preprocessing analysis on the alarm correlation analysis, and the secondary analysis module conducts secondary analysis on the alarm correlation analysis. Software service technologies are adopted on the implementation forms of the modules, different service analysis modules are reused in a binary mode conveniently, the preprocessing and asynchronous parallel processing are adopted, the alarm analysis efficiency can be effectively improved, the secondary analysis mechanism is adopted, and interference possibly existing in the analysis results can be effectively avoided.

The invention belongs to the technical field of communication and education, and relates to a teaching diagnostic analysis system through comprehensive application of the artificial intelligence technology and a teaching diagnostic analysis method thereof. The teaching diagnostic analysis system comprises a prefabricated classroom indicator module, a data acquisition module, a face recognition andprocessing module for extracting images, a voiceprint recognition and processing module for extracting audio signals, a voice recognition and processing module for converting voice into texts and recognizing high frequency content and a natural language processing module for performing secondary analysis on the text content. A correlation analysis module is used for establishing a correlation analysis view with the time value acting as the index and generating the classroom teaching quantitative indicator analysis result. A diagnostic analysis module constructs the correlation analysis view of the learning condition, the knowledge content, the teaching process and the teaching characteristics with the time value acting as the dimension so as to form the teaching analysis result. The big data acquisition standard is established by using the artificial intelligence technology so that the classroom teaching analysis data can be accurately acquired; and the teaching process, knowledge content analysis and learning condition analysis can be correlated so that the teaching effect generated by different teaching modes can be analyzed.

The invention provides an unread message pushing displaying and sorting method and device. The method comprises the following steps: obtaining characteristic information in a plurality of received unread messages; carrying out primary analysis comparison on the characteristic information and first standard characteristic information stored in a user defined information pushing database so as to display positions of pushing the unread messages; when the matching degree between the characteristic information of the unread messages and the first standard characteristic information is less than a first preset threshold, carrying secondary analysis comparison on the characteristic information of the unread messages with second standard characteristic information stored in a third-party defined information pushing database; adjusting the display positions of pushing the unread messages according to the result of the secondary analysis comparison; and displaying the unread messages according to the adjusted pushing display positions. According to the unread message pushing displaying and sorting method and device provided by the invention, the users can more rapidly find the more important information pushing, so that the flexibility of the unread message sorting is improved, and the use of the users is convenient.

The invention relates to cardiac-activity based prediction of a rapid drop in a patient's blood pressure during hemodialysis. A proposed alarm apparatus includes an input interface, primary and secondary analysis units and an alarm-generating unit. An electrocardiogram signal (HECG) of the patient is received via the input interface by the primary analysis unit, which in response thereto produces a heart-rate-variability signal (PHRV). The secondary analysis unit determines an intensity of ectopic beats (PEBC) based on the electrocardiogram signal (HECG). The alarm-generating unit investigates whether the intensity of ectopic beats (PEBC) is relatively low or relatively high. In case of a relatively low intensity, the unit triggers an alarm signal (α) indicative of an estimated rapid blood pressure decrease if the heart-rate-variability signal (PHRV) fulfills a first alarm criterion. In case of a relatively high intensity, however, the unit triggers the alarm signal (α) if the intensity of the ectopic beats (PEBC) fulfills a second alarm criterion.

The invention discloses an instrument-free quantitative analysis method for fast detecting test paper, and application of the instrument-free quantitative analysis method. A target analyte or a secondary analyte in a sample can react with a detection reagent to generate insoluble deposits to enhance the hydrophobicity of a reaction area, and the concentration of the analyte is in direct proportion to the enhancement degree of the hydrophobicity of the reaction area; the hydrophobicity of the reaction area decides the volume of a colored hydrophilic reagent solution flowing into a quantification area from the reaction area within set time or in a set distance (such as from the tail end of the reaction area to the quantification area), and the length of colored print in the quantification area is in direct proportion to the volume of the colored reagent solution flowing into the quantification area and is in inverse proportion to the hydrophobicity of the reaction area. Therefore, the concentration of the analyte in the sample is in inverse proportion to the length of the colored print in the quantification area, and the fast quantitative detection of the analyte in the sample can be carried out by measuring the length of the colored print in the quantification area through a ruler with scales. The method can be applied to quantitative detection on target analytes in various liquid samples of urine, blood, serum, saliva, water, etc.

The invention discloses a moving target detection and tracking method based on an embedded system. The method comprises the steps that first, pixel-level and frame-level secondary analysis is performed, and a background model is updated; background subtraction is used, and then morphological filtering is adopted to obtain a moving foreground; if multiple moving objects are available through judgment, and a tracking target is selected manually; samples are selected according to particle weights at the previous moment, and the number of selected particles with large weights is greater than the number of selected particles with small weights; a particle set is propagated through a dynamic model; an MS is utilized to optimize part of the particles, then similarity is judged, and if the MS is more approximate to a target model, the optimized particles are merged with standard sampled particles; color features and movement features are adopted to observe the similarity between a target possible state and a target real state represented by each particle; and whether model update needs to be performed is judged according to the judgment of whether a similarity coefficient between average state output of the particles and the target model is greater than a threshold value. Through the method, sampling efficiency is greatly improved, and the method is suitable for real-time tracking on the embedded system.

The invention relates to a joint debugging and joint control method for guaranteeing biosafety of pipe network water quality based on real-time ArcGis. The method comprises the following steps: (1) importing the residual chlorine data of each water quality monitoring point of a water supply pipe network into a geographic information system; (2) according to the distribution of water works,, secondary pressurized pump stations and transmission and distribution pipe networks, analyzing the spatial variation rule of disinfectant attenuation in the water of current transmission and distribution pipe network to regulate and control residual chlorine of the pipe network; (3) performing secondary analysis on the distribution of residual chlorine of the pipe network, observing whether the most disadvantageous point of the pipe network transmission and distribution satisfy the minimum value of the residual chlorine required for model calculation to control a microbial indicator to be qualified; and (4) if the most disadvantageous point of the pipe network transmission and distribution cannot satisfy the minimum value required for the model, repeating the step (2) until the residual chlorine distribution of the pipe network basically satisfies the microbial indicator control condition at the most disadvantageous point in the pipe network transmission and distribution. Through the invention, the microbial indicator of the pipe network reaches the standard, the spatial distribution of the residual chlorine of the pipe network is more uniform, and the addition of disinfectant and the amount of disinfection byproduct are reduced.

The invention discloses a method for carrying out business abstraction and path finding analysis on data. The method for carrying out the business abstraction and path finding analysis on data includes steps that a, business abstraction; b, analyzed object configuration; c, path combination, to be specific, analyzing whether is an available path, if not, searching the adjacent node, complementing associated information, feeding back again to perform path combination, analyzing whether there is available path again, and circulating in this way till finding out the available path; d, path optimization, to be specific, using a path optimization rule engine to select the optimal path through inputting different rules; e, SQL object generation; f, result computation, wherein after executing generated inquire statement, data is returned to a user in JSON format, and the user can execute secondary analysis based on the data or directly use the other visual tools to show the data.

The invention discloses an automatic calibration method for engine knock. The automatic calibration method for engine knock comprises the steps of carrying out knock control matching by adopting engine knock intelligent-calibration, self-adaption and self-studying technologies; collecting the following equipment running data: temperature, rotate speed, oil consumption condition and ignition anglecondition; storing the data, and carrying out secondary analysis; and intelligently optimizing knock calibration. By adopting the technical scheme, the complex control logics such as cylinder detection, data analysis and processing are greatly simplified; and along with the development of a knock sensor technology and an electronic technology, the accuracy in signal acquisition is realized, and irrelevant noise can be eliminated through filter analysis in different ways and detonation sensor feedback signal processing in different ways, so that the engine work knock situation can be accuratelydiscriminated, control parameters such as advance angle of ignition are dynamically adjusted, the accuracy control requirement of a high-speed internal combustion engine is met, and the whole intelligent calibration process is realized.

Primary and secondary support vendors 20 and 30 provide support for an application 15 running on a customer computer system 11. Diagnostic software 17 running on the customer computer system gathers diagnostic data, which is transmitted to the primary-support vendor's computer system 21. There, the diagnostic data is analyzed to determine whether the help of the secondary support vendor is required. If so, the diagnostic data is repackaged for transmission to the secondary support vendor. The results of the secondary analysis are returned to the primary support vendor's computer system and used to generate a proposed solution, which is made available to the customer 10.