385 results about "Trace analysis" patented technology

The invention discloses a threat intelligence analysis system for attack tracing. The system comprises an internal threat intelligence collection module, an external threat intelligence collection module and an attack tracing analysis module; the internal threat intelligence collection module comprises a security detection module and a security analysis module; the attack tracing analysis module comprises attacker tracing and attack host tracking; threat intelligence obtained by the internal threat intelligence collection module and the external threat intelligence collection module is uploaded to the attack tracing analysis module, the attack tracing analysis module performs attacker tracing and attack host tracking on the threat intelligence and feeds back the result to the security detection module and the security analysis module; and meanwhile, the result is performed with threat intelligence sharing and exchange with an external cooperation mechanism. The threat intelligence analysis system disclosed by the invention can not only singly and quickly accomplish threat intelligence analysis and detection, but also can provide prediction for the attacks of enterprises, the method is orientated to attack tracing, and the attack mode is analyzed from the source so as to better identify the identity of the attacker.

Low concentrations of substances dissolved in liquids are detected by coupling analysis/excitation light into the liquid core of an optical waveguide in the form of a capillary. When the substance of interest is to be excited to cause the emission of fluorescent light, the excitation light is transversely coupled into the hollow core of the waveguide and the generated fluorescent light is kept in the optical path of the waveguide for as long as possible. The invention also contemplates the use, in either an absorption or fluorescence mode, of specially treated fused silica fibers to deliver analysis/excitation light with very short wavelengths into the liquid core of an optical waveguide.

A new seismic attribute is disclosed along with its use to locate and classify seismic waveform anomalies and use them to construct objects and from them geologic surfaces (77) and bodies (75) from which hydrocarbon potential (or quality control of the seismic acquisition and processing (71)) may be assessed (79). The seismic attribute is constructed (74) from determinations of phase residues in the seismic data volume (72), preferably using complex trace analysis but alternatively by comparing neighboring waveforms for disappearing waveshape inflections. It is shown that in a data volume of the new attribute, non-zero values form strings and loops that may be associated with objects (geobodies) or surfaces such as unconformities or flooding surfaces. Methods of classification and selection (76) to reduce the number of objects generated are provided.

The invention provides a preparation method of a surface-enhanced Raman scattering substrate of a metal particle array. The preparation method comprises the following steps of: preparing a porous silicon nanometer wire array (PSNWA) as a substrate material through a metal-assisted chemical corrosion method; reducing metal ions in a metal salt solution to elementary substance through an impregnation-reduction method, and obtaining the surface-enhanced Raman scattering substrate after uniformly depositing the elementary substance on the surface of the PSNWA in a nanometer particle manner; and inducing a substance to be detected into an active substrate surface through an infiltration or titration method, namely carrying out Raman spectrum detection. The preparation method provided by the invention has the advantages of low cost, simple process, simplicity and convenience in operation, high sensitivity of SERS (Surface-Enhanced Raman Scattering) signals, and good repeatability; and an SERS light spectrum has very good stability and repeatability. The invention provides a molecule detection and trace quantity analysis method with high speed, high sensitivity and high reliability. The preparation method provided by the invention needs extremely less sample amount, is suitable for various liquid samples, and has wide application prospects of rapid identification of clinical biological molecules, trace quantity chemical substance detection, biological sample analysis and the like.

An apparatus and process are disclosed that deliver an analyte deposited on a substrate to a mass spectrometer that provides for trace analysis of complex organic analytes. Analytes are probed using a small droplet of solvent that is formed at the junction between two capillaries. A supply capillary maintains the droplet of solvent on the substrate; a collection capillary collects analyte desorbed from the surface and emits analyte ions as a focused spray to the inlet of a mass spectrometer for analysis. The invention enables efficient separation of desorption and ionization events, providing enhanced control over transport and ionization of the analyte.

The invention provides a method for tracing pollution sources in emergency events. The method is characterized by comprising steps of 1, constructing source-quality response scene databases, to be more specific, creating fixed and mobile pollution source databases in certain ranges of river basins and hydrological scene databases of river basins where projects are located, simulating pollution statues of the project river basins due to pollutants of each pollution source under the conditions of different hydrological scenes and different emission amounts and creating the source-quality response scene databases in project regions; 2, carrying out source tracing analysis and computation, to be more specific, investigating and screening the pollution sources in the source-quality response scene databases according to feature information of the pollutants and hydrological regime information, finding out possible pollution sources which meet requirements of screening targets, constructing target libraries, analyzing pollution procedure fitting degrees of the target libraries, sorting the target libraries according to the fitting degrees, determining risk sources which possibly cause the emergency pollution accidents, and further conforming the risk sources by means of verification. The method has the advantage that the locations and the pollutant emission amounts of the pollution sources can be quickly determined by the aid of the method.

A sol-gel poly-THF coating was developed for high-performance capillary microextraction to facilitate ultra-trace analysis of polar and nonpolar organic compounds. Parts per quadrillion level detection limits were achieved using Poly-THF coated microextraction capillaries in conjunction with GC-FID. Sol-gel Poly-THF coatings showed extraordinarily high sorption efficiency for both polar and nonpolar compounds, and proved to be highly effective in providing simultaneous extraction of nonpolar, moderately polar, and highly polar analytes from aqueous media. Sol-gel poly-THF coated microextraction capillaries showed excellent thermal and solvent stability, making them very suitable for hyphenation with both gas-phase and liquid-phase separation techniques, including GC, HPLC, and CEC. In CME-HPLC and CME-CEC hyphenations, sol-gel poly-THF coated microextraction capillaries have the potential to provide new levels of detection sensitivity in liquid-phase trace analysis, and to extend the analytical scope of CME to thermally labile-, high molecular weight-, and other types of compounds that are not amenable to GC.

The invention discloses a tracing analysis method for network attacks, which comprises the following steps: acquiring threat intelligence of a specified type, and caching the threat intelligence to alocal threat intelligence database; acquiring current alarm information and the local threat information, and judging the attack source of the alarm; respectively carrying out alarm association according to the attack source and/or the equipment identifier of the attack target, determining the attack stage of the equipment, and judging the equipment collapse level according to the attack stage; and obtaining asset information of the equipment, and determining the influence range of the attack according to the alarm association result. Effective traceability analysis of network attacks is achieved, various traceability results are obtained, traceability data can be updated every time traceability is conducted, and a basis is provided for network operation and maintenance personnel to handleproblems and strengthen security policies.

This invention relates to a customer complaint process method including five steps of complaint acceptance, analysis, distribution, process and feeding back aimed at realizing accurate localization and tracing analysis to speed up forward ability of complaint process and carrying out automatic trigger of tasks according to service rules to realize cooperation of the whole net.

The invention relates to video processing, mode identification and the like. In order to provide a video abnormal event detection method by which a multi-motion parameter variation rule of the same event in a plurality of visual angles of a cross camera can be represented and of which the accuracy is high, the technical scheme of the invention is that: a method for detecting a monitored video abnormal event based on trace analysis comprises the following steps of: 1, classifying abnormal events based on the trace analysis; and 2, modeling the abnormal events based on a dynamic Bayesian network, wherein the modeling is finished by the following three steps of: a, constructing the dynamic Bayesian network which consists of three levels from bottom to top, namely a characteristic layer, an element layer and an event layer; b, learning the dynamic Bayesian network in the following three situations: firstly, the labels and the number of elements are known; secondly, the number of the elements is known and the labels are unknown; and thirdly, the number of the elements and the labels are unknown; and c, selecting a characteristic. The method is mainly applied to video processing, mode identification and the like.

A system and method for automatically diagnosing protocol errors from packet traces is provided. The system and method performs an automatic trace analysis on a packet trace to generate an analysis that is then fed into a diagnosis/resolution module. The diagnosis/resolution compares the trace analysis with the database of known problems to identify the protocol error and a suggested solution. The suggested solution then may be implemented, either by a user or by the DR module, to correct the protocol error.

The invention relates to a method of implanting a dynamic stain analysis module in Android. According to the method of implanting the dynamic stain analysis module in the Android, static instrumentation is performed on system class libraries and application programs of an Android system, an execution environment is reconfigured through the method of redirecting a virtual machine startup function in a loading process of the application programs after the instrumentation, the application programs after the instrumentation are enabled to be capable of allowing reference to the system class libraries after the instrumentation, the dynamic stain analysis module synchronously operates in the operating process of the application programs after the instrumentation, and dynamic stain tracing analysis is implemented. The source code and the system architecture of the Android system do not need to be modified, and reset and ROOT target terminal equipment are not needed, the dynamic stain analysis module with the stain tracing analysis function can be implanted in a platform of the Android system, and sensitive information operations are monitored and analyzed.

The invention provides an industrial park atmospheric pollutant diffusion simulating and tracing method. The industrial park atmospheric pollutant diffusion simulating and tracing method specificallycomprises the following steps: (1) based on multi-point pollutant component analysis and concentration real-time monitoring data, analyzing atmospheric pollutant emission characteristics of an emission source, and calculating dynamic emission source intensity; (2) constructing an atmospheric pollutant diffusion model based on a Gaussian smoke plume diffusion theory and a smoke mass diffusion theory, calculating pollutant diffusion distribution characteristics of an emission source according to real-time meteorological data, and predicting the pollutant concentration of sensitive points; and (3) simulating and calculating the influence of the low-rise building within the factory boundary distance of the industrial park on airflow movement, determining a transmission path of emission sourcepollutants, and performing tracing analysis on sensitive point pollutants. The theories of Gaussian diffusion, smoke mass diffusion and computational fluid mechanics are integrated, the problem that the industrial park atmospheric pollutant emission traceability is difficult is solved, and the effective supervision of the industrial park ambient air quality is realized.

The invention provides a method for surface-enhanced Raman scattering spectrum detection by using a silver-surface molecularly imprinted polymer, and relates to the method for the surface-enhanced Raman scattering spectrum detection by using a molecularly imprinted polymer. The invention aims at solving intricate process and poor detection effect problems caused by poor combination between the molecularly imprinted polymer and a metal film in an existing method which needs to mix the molecularly imprinted polymer and other substances such as silver colloid or coat the molecularly imprinted polymer on other metal films such as a silver film. The method provided by the invention comprises the following steps of: I preparing silver particles of 500 nanometers to 5 microns; II, modifying the surface of the silver particles; III, preparing pre-assembled solution of target molecules and functional monomers; IV, preparing pre-polymerized solution of the molecularly imprinted polymer of the silver; V, preparing the particles of silver-core molecularly imprinted membrane shells; VI, preparing the silver-surface molecularly imprinted polymer; and VII, performing the Raman detection. The method provided by the invention is applied to the field such as clinical medicine analysis, quantitative analysis, trace analysis and single-molecule level.

A battery pack remote monitoring system comprises a remote server and a battery energy storage module, wherein the battery energy storage module comprises a battery pack, a battery management module and a wireless receiving and sending module, the battery management module is used for detecting data of the battery pack, transmitting the data to the remote server through the wireless receiving and sending module and receiving a control instruction sent by the remote server according to the data of the battery pack, and the remote server is used for generating the control instruction according to the data of the battery pack, transmitting the control instruction to the battery management module in a wireless transmission mode and achieving remote control of the battery pack. According to the battery pack remote monitoring system, data transmission can be conducted between the battery energy storage module and the remote server in the wireless transmission mode, a maintainer can regulate and control the working state of the battery pack in a remote mode on the remote server, and the maintainer can conveniently and timely conduct long-term trace analysis and maintenance on the working state of the battery pack. In addition, the invention further provides a battery pack remote monitoring method and an energy storage and power supply device remote monitoring system.

The invention discloses a behavior trace detection analysis and service providing system and method based on APs. The system comprises a signal collection module, a data signal receiving interface, a positioning module, a positioning data storage module, a behavior trace analysis module and a service providing module, wherein the signal collection module is composed of multiple APs with the signal collection ability. The method includes the steps that (1) the APs collect wireless signal intensity between different terminals and MAC addresses of the terminals; (2) the mobile terminals are positioned; (3) position traces of the mobile terminals are analyzed; (4) corresponding services are provided according to service requests put forward by the mobile terminals and other devices. By means of the system and method, the outdoor and indoor mobile terminals can be positioned precisely in time, modification is carried out according to different mobile terminal attributes, and positioning precision is increased. Platform limitations do not exist, positioning and position data analysis can be carried out on mobile phones, notebook computers, tablet computers and other mobile terminals, and accordingly corresponding services are provided for terminal users and other users.

An atomic force microscope (AFM) tip is used to selectively produce surface enhanced Raman scattering (SERS) for localized Raman spectroscopy. Spectra of thin films, undetectable with a Raman microprobe spectrometer alone, are readily acquired in contact with a suitably gold-coated AFM tip. Similarly, an AFM tip is used to remove sample layers at the nanometer scale and subsequently serve as a SERS substrate for ultra-trace analysis. This demonstrates the interface of an AFM with a Raman spectrometer that provides increases sensitivity, selectivity and spatial resolution over a conventional Raman microprobe. An AFM guiding the SERS effect has the potential for targeted single molecule spectroscopy.

The invention discloses a method and a device for analyzing trace gaseous elemental mercury, and belongs to the technical field of atmospheric environment monitoring. In the method, the whole analysis process is controlled by a programmable logic controller. The method comprises the following steps of: arranging a mercury trapping tube collecting atmospheric gaseous elemental mercury (GEM) samples into a pyrolysis releaser for rapid heating, removing acid components carried by released HgO vapor from the released HgO vapor, introducing the HgO vapor into a secondary enrichment/pyrolysis releaser, and secondarily absorbing the HgO vapor by using the mercury trapping tube in the secondary enrichment/pyrolysis releaser; and rapidly heating the secondary enrichment/pyrolysis releaser, and blowing the secondarily pyrolyzed desorbed HgO vapor into a cold atomic fluorescence detector for quantitative detection by using a carrier gas. The device provided by the invention has a simple system, and is reliable in running; the atmospheric GEM samples collected by the mercury trapping tube are analyzed after being secondarily enriched, pyrolyzed and released so as to effectively reduce the limit of detection of the device and meet the requirements of trace analysis on the atmospheric GEM.

A computer implemented method for network monitoring includes providing network packet event characterization and analysis for network monitoring that includes supporting summarization and characterization of network packet traces collected across multiple processing elements of different types in a virtual network, including a trace slicing to organize individual packet events into path-based trace slices, a trace characterization to extract at least 2 types of feature matrix describing those trace slices, and a trace analysis to cluster, rank and query packet traces based on metrics of the feature matrix.

A test system or simulator includes an IC test application sampling software program that executes test application software on a semiconductor die IC design model. The test application sampling software includes trace, simulation point, CPI error, clustering and other programs. IC designers utilize the test application sampling software to evaluate the performance characteristics of IC designs with test software applications. The test application sampling software generates basic block vectors (BBVs) and fly-by vectors (FBVs) from instruction trace analysis of test application software. The test application sampling software analyzes microarchitecture dependent information that it uses to generate the FBVs. Test application sampling software generates a reduced representative test application software program from the BBV and FBV data utilizing an instruction budgeting method. Designers use the test system with test application sampling software to evaluate IC design models by using the representative test application software program.

A trace unit, diagnostic apparatus and data processing apparatus are provided for tracing of conditional instructions. The data processing apparatus generates instruction observed indicators indicating execution of conditional instructions and result output indicators indicating output by the data processing apparatus of results of executing respective conditional instructions. The instruction observed indicators and result output indicators are received by a trace unit that is configured to output conditional instruction trace data items and independently output conditional result trace data items enabling separate trace analysis of conditional instructions and corresponding conditional results by a diagnostic apparatus. The instruction observed indicator is received at the trace unit in a first processing cycle of the data processing apparatus whilst result output indicator is received at in a second different processing cycle.