157results about How to "Fast and accurate analysis" patented technology

A web user profiling system and method. The method includes a profile editor for user-controlled profile creation and management, a web classification tree including a keyword language, the tree providing a hierarchal structure for classifying a user's web behavior, and a web page analysis engine for classifying web pages viewed leveraging the tree. The system further includes a page stream analysis engine for filtering the classified web pages into classification groupings to provide dynamic user profile information, and a profile gateway having a security manager, the gateway providing permissioned remote access to a user's profile.

System comprised of a medical device and method for analyzing physiological and health data and representing the most significant parameters at different levels of detail which are understandable to a lay person and a medical professional. Low, intermediate and high-resolution scales can exchange information between each other for improving the analyses; the scales can be defined according to the corresponding software and hardware resources. A low-resolution Scale I represents a small number of primary elements such as intervals between the heart beats, duration of electrocardiographic PQ, QRS, and QT-intervals, amplitudes of P-, Q-, R-, S-, and T-waves. This real-time analysis is implemented in a portable device that requires minimum computational resources. The set of primary elements and their search criteria can be adjusted using intermediate or high-resolution levels. At the intermediate-resolution Scale II, serial changes in each of the said elements can be determined using a mathematical decomposition into series of basis functions and their coefficients. This scale can be implemented using a specialized processor or a computer organizer. At the high-resolution Scale III, combined serial changes in all primary elements can be determined to provide complete information about the dynamics of the signal. This scale can be implemented using a powerful processor, a network of computers or the Internet. The system can be used for personal or group self-evaluation, emergency or routine physiological monitoring and analysis, or continuous event, stress test or bedside physiological monitoring.

A capillary electrophoresis analysis apparatus is provided for analyzing samples by a capillary electrophoresis method that allows for rapid and highly accurate separation and detection.

Disclosed are a user-customized content providing device, a method and a recorded medium. In accordance with an embodiment of the present invention, the user-customized content providing device can include a content searching unit, searching a content set related to user's search query word; a user preference information requesting unit, asking an apparatus for user preference information including a user profile and tag information through a network, the user profile including a keyword collected in the apparatus and a point applied with a weight given per keyword; a user preference information collecting unit, receiving the user preference information from the apparatus; a content ranking determining unit, determining a ranking of the content set according to the relation to the user preference information; and a content providing unit, providing the ranked content set to the apparatus.

The invention discloses a log generation management method, a log generation management device, log generation management equipment and a computer-readable storage medium. The log generation management method includes the following steps: when a service request is detected, intercepting the service request to acquire intercepted information from the service request, and recording intercepting timeof the service request, wherein the intercepted information includes a service request identifier and calling chain information; generating a log file according to the intercepted information and theintercepting time, and storing the log file to a preset storage area; and when an abnormality analysis request is detected, acquiring a plurality of log files according to service request identifiersin the abnormality analysis request, and establishing a tree-shaped structure on the basis of the plurality of log files. According to the method, quickly and accurately analyzing and locating key information, of causing a service request abnormality, by a developer are facilitated, costs are greatly reduced, and an accuracy rate of the key information is increased.

The invention discloses a digital substation whole station information intelligent point-to-point testing system and method. The system includes a point-to-point server, an intelligent point-to-point tester and intelligent substation equipment including a device to be tested. The point-to-point server parses the SCD file and 104 point table files, establish the corresponding relationship between substation information data and telecontrol point table data according to semantic information matching, generate a test plan and send it to the intelligent point-to-point tester; the intelligent point-to-point tester receives the test plan from the point-to-point server, drives The peer server realizes the reading and remote control operation of the remote signal/telemetry signal of the smart substation equipment through the 104 protocol, and directly reads the device data from the smart substation equipment through the MMS specification, performs test judgment, and sends the test result data to the peer Point server; the point server receives test data from the intelligent point tester and generates a test report. The invention can greatly improve the point-to-point work efficiency, reduce labor costs, and shorten the debugging period.

The embodiment of the invention discloses a network fault detection method and a network fault detection device, applied to the field of communication technologies. In the method of the embodiment, a fault detection server acquires network communication information of a client in a content delivery network system, then the network communication information is matched with a preset fault model library, if the network communication information is matched with description information of a first fault model, namely values of a plurality of parameters in the network communication information are respectively in value ranges of corresponding parameters in the description information of the first fault model, it determines that a communication fault accords with the first fault model, and warning is sent to a corresponding content delivery network node. Compared with manual fault cause analysis in the prior art, the method provided by the embodiment of the invention can learn the fault the type of the current communication fault by matching collected information with the fault model library, so that a fault cause can be rapidly and accurately acquired by analyzing.

The present invention provides transgenic identification markers (TIMs) and methods of their use for identifying organisms and their progeny. TIMs are synthetically produced, heritable DNA molecules that, when inserted into cells of an individual organism, constitute a distinguishing, synthetic marker system for the organism. Because TIMs are heritable, upon cell division they are passed on to the progeny of the marked organism. TIMs thus provide a means of identifying and distinguishing such marked organisms and their progeny.

Disclosed is a bio lab-on-a-chip. The bio lab-on-a-chip is provided on a piezoelectric thin film on a substrate, and includes a sensing unit to sense a bio signal and a fluidic control unit which controls a transfer of a microfluid adjacent to the sensing unit. Provided is also a method of fabricating the bio lab-on-a-chip. The method includes the steps of forming a piezoelectric thin film, forming a sensing unit to sense a bio signal of a microfluid on the piezoelectric thin film, and forming a fluidic control unit located adjacent to the sensing unit.

The invention relates to the technical field of laser ablation spectrum analysis and discloses a double-pulse laser induction breakdown spectrum analysis device and a double-pulse laser induction breakdown spectrum analysis method. The device comprises a control system, an environment detection module, a double-pulse laser transmitter module and a spectrum collection and analysis module which are arranged in a constant-temperature chassis, and a camera module arranged on the outer part of the constant-temperature chassis, wherein the control system is electrically connected with the environment detection module and the camera module respectively. The double-pulse laser induction breakdown spectrum analysis device can realize rapid and accurate analysis on sample ores and soil components of the lunar surface under original-position, online and remote control condition on the lunar surface, and can carry out deep analysis on all elements; meanwhile, the device can be used for carrying out three-dimensional analyzing imaging on all interested elements; furthermore, a double-pulse laser induction breakdown spectrum technology is applied so as to guarantee that a detection system has high detection sensitivity under an ultra-low air pressure (near vacuum) environment.

In a method for detecting objects, at least one sensor emits a transmitting pulse as a wave, particularly as an acoustic or an electromagnetic wave, which wave is reflected at least partially by objects in the propagation space, and the reflected wave being detected by at least one receiver as a received signal. The received signal of the reflected wave is divided up into segments, and from the individual segments, data are gathered that are drawn upon for the determination of an object hypothesis.

The invention discloses a method for measuring the acrylonitrile monomer content in polyacrylonitrile polymer fluid, which comprises the following steps: 1) preparing polyacrylonitrile polymer fluid with standard acrylonitrile content; 2) preparing a standard acrylonitrile content curve; 3) obtaining a chromatogram map of residue acrylonitrile monomer in the polyacrylonitrile polymer fluid to be measured; and 4) measuring the residue acrylonitrile monomer in the polyacrylonitrile polymer fluid to be measured: adopting a static-state headspace method as an enrichment method of samples. The invention solves the technical problem that the existing method for measuring the acrylonitrile monomer content in polyacrylonitrile polymer fluid has larger error caused by large subjective arbitrariness, is convenient and feasible, and can quickly and accurately analyze the content of the residue acrylonitrile monomer in the polyacrylonitrile polymer fluid according to the requirements.

An analytical furnace includes a predictive temperature control which is trained to model crucible temperature during analysis by employing a pair of temperature sensors, with one sensor being mounted in the furnace in fixed relationship and a second sensor which can be positioned within a crucible for training and tuning a crucible temperature profile, such that the crucible temperature in which a sample is placed is modeled and its response to the application of energy to the furnace in accordance with the furnace's dynamic thermal characteristics is known. By modeling the temperature profile within a crucible, the furnace can be controlled to provide a faster, more accurate analysis and prevent excessive overshooting of temperature as desired temperature plateaus are approached.

The invention discloses an intelligent monitoring method and system for digital currency in a block chain. The method comprises the steps that of firstly, a block chain router requestings to obtain anabnormal transaction address from a server; requesting to obtain a sensitive keyword file from thea server at a block chain miner node; loading a machine learning model in a block chain server; afterthe block chain router obtains the digital currency data packet in the network, filtering the digital currency data packet containing the abnormal transaction address; filtering a digital currency data packet containing sensitive keywords at a block chain miner node, controlling unfiltered transaction data to enter a mine pool, and packaging the transaction data into block chain data by the blockchain miner node; and judging whether the transaction address corresponding to the transaction in the block data is an abnormal transaction address or not by a machine learning model of the block chain server. According to the invention, the abnormal transaction address, the sensitive keyword and the abnormal transaction in the block data of the transaction can be accurately and comprehensively monitored, and the security and supervision strength of the digital currency transaction are improved.

The invention relates to a hand physiological information detection method, which comprises the following specific steps of: detecting hand integrity; detecting wrist flexibility; finger flexibility detection. The invention provides a hand physiological information processing method based on a skeleton key point dynamic identification technology. A hand in motion is scanned in real time, and computer analysis is carried out through a unique algorithm and a model, so that hand information can be analyzed and processed quickly and accurately, data analysis is carried out on related information such as whether hand skeleton key points, hand wrist and upper limb functions are perfect and hand integrity and hand coordination, and accurate integrity and flexibility detection results are given.

An apparatus for monitoring specific substances in a fluid is provided. The apparatus of the present invention includes a housing, a tray, transmission means, a cylindrical transparent reservoir, a cylindrical holder having a plurality of hollow frames around the surrounding thereof each of which holding a test paper, and an optical scanning assembly. The tray is disposed in the housing and rotated by the transmission means. The cylindrical transparent reservoir contains a fluid sample to be analyzed and is held on the tray so as to synchronously rotate with the tray. The cylindrical holder is disposed in the cylindrical transparent reservoir. The optical scanning assembly is fastened beside the cylindrical transparent reservoir for capturing an image of a pattern displayed on each test paper in response to at least one specific substance in the fluid sample upon rotating the cylindrical transparent reservoir and converting the image into electronic signals. Thereby, the specific substances in the fluid sample are analyzed and identified via the image information captured from each test paper.

The invention provides a GRRM model-based groundwater environment risk evaluation method for a hydrogeological unit. The method comprises the steps of performing risk source assignment according to a risk source type based on spatial distribution of a risk source through a hydrogeological division risk evaluation unit; by taking groundwater quality, groundwater level and groundwater source area sensitivity as risk suffers, calculating risk suffer sensitivity; determining damage degrees of the risk source to a groundwater system and the risk suffers, and obtaining an exposure response coefficient; calculating a groundwater anti-pollution performance index by integrating weighted hydrogeological parameters; and obtaining a groundwater relative risk evaluation result through relative risk model calculation, and performing representation on a groundwater environment in combination with the groundwater relative risk evaluation result. By obtaining the risk source assigned value of the risk evaluation unit, the risk suffer sensitivity, the exposure response coefficient and the groundwater anti-pollution performance index, the groundwater relative risk evaluation result can be comprehensively, quickly and accurately calculated and analyzed, so that the reliability of groundwater relative risk evaluation is improved.

The invention relates to an intelligent power distribution network information physical fusion protection system and method. The system comprises an intelligent power distribution network physical information acquisition layer, a computer network transmission layer, a data analysis layer and a protection equipment execution layer, the intelligent power distribution network physical information acquisition layer is used for acquiring power data of the power distribution network; the computer network transmission layer is used for transmitting the acquired data state information of the power distribution network to the data analysis layer by using a computer network; the data analysis layer is used for detecting whether the power distribution network is abnormal or has a fault by using the acquired data state information of the power distribution network, continuing fault positioning once the fault is detected, and sending a fault isolation command to protection equipment of the protection equipment execution layer; and the protection equipment execution layer is used for receiving the fault isolation command of the analysis layer, controlling isolation equipment, isolating fault nodes and recovering normal power distribution operation as soon as possible. The fault of the power distribution network can be quickly and accurately analyzed, the processing scheme can be given, and quick recovery of power supply operation is realized.

The invention discloses a student learning behavior analysis intervention method, device and system, and the method comprises the steps: receiving real-time student video data and environment data ina classroom, carrying out the preprocessing, and extracting student visual features and air composition features; merging the student behavior features and the air component features into new featurevectors, performing feature fusion by utilizing artificial neural network analysis and processing to obtain real-time feature fusion data, and storing the real-time feature fusion data in a historicaldatabase; learning and training historical database data through a neural network algorithm, and carrying out data analysis on air conditions and student states to form a normal value model; and calculating an expected value of the current air condition and the student state by combining the real-time feature fusion data, comparing the expected value with the real-time feature fusion data, judging that the real-time data is normal data or abnormal data, finishing student learning behavior analysis, and adjusting environmental data according to an analysis result to carry out intervention.

The invention belongs to the field of analytic chemistry and clinical medicine and discloses a fetal macrosomia auxiliary diagnostic marker and application thereof. The marker is the combination of nicotinamide and citric acid and can be used for manufacturing a fetal macrosomia diagnosing or monitoring kit. The marker has the better auxiliary diagnostic effect on fetal macrosomia, can lower the detection cost and reduce economical burdens of a patient and is beneficial to clinical usage and popularization.