2086 results about "Analytical technique" patented technology

An impedance model of tissue is useful for describing conductivity reconstruction in tissue. Techniques for determining and mapping conductivity distribution in tissue supply useful information of anatomical and physiological status in various medical applications. Electrical Impedance Tomography (EIT) techniques are highly suitable for analyzing conductivity distribution. Electrical characteristics of tissue include resistive elements and capacitive elements. EIT techniques involve passing a low frequency current through the body to monitor various anatomical and physiological characteristics. The system can interrogate at multiple frequencies to map impedance. Analytical techniques involve forward and inverse solutions to boundary value analysis to tissue characteristics.

Methods, systems, and apparatus for detecting the presence of analytes are described. A fluid or gas sample may pass through a microsieve-based detection system and / or a particle-based detection system of a cartridge. Detection and analysis techniques may be applied to determine the identity and quantity of the captured analytes.

Methods and systems for analyzing samples, such as gas samples, are described. One method comprises providing a gas sample, increasing pressure applied to the gas sample to compress the sample to a smaller volume and provide a pneumatically focused gas sample, and analyzing the pneumatically focused gas sample using any of a variety of analytical techniques. Also disclosed are systems for gas analysis, including systems for analysis of pneumatically focused, and thereby concentrated, gas samples and for analysis of particulate matter in gas samples. Analytical systems constructed within personal computer cases also are disclosed.

The invention discloses a remote sensing monitoring system for automotive exhaust emission of an urban road network. The system is mainly composed of a remote measurement device layer, a site selection and position arrangement layer, and a data processing layer. Through mobile, horizontal and vertical exhaust remote measurement devices, real-time data of the automotive exhaust emission in running is obtained; by adopting an advanced site selection and position arrangement method, the remote measurement devices are scientifically networked; and in combination with external data of weather, traffic, geographic information and the like, the real-time remote measurement data of the automotive exhaust emission is subjected to intelligent analysis and data mining by adopting big data processing and analysis technologies such as deep learning and the like, and key indexes and statistical data with optimal identification performance are obtained, so that effective support is provided for government departments to make related decisions.

The detection of a chemical specie of interest is accomplished by immobilizing sensing molecules on the inner wall of a liquid core optical waveguide, the waveguide comprising a capillary tube and the sensing molecules being selected to interact with the specie of interest carried by the liquid which forms the waveguide core. The interaction produces a change in an optical characteristic of the waveguide which may be detected by illuminating the waveguide with analysis light.

The invention provides methods and devices for detecting, identifying, classifying and characterizing particles in a fluid sample. Optical analyzers are provided having a rotating and / or translating sample container for measuring the concentrations of fluorescent particles present in very low concentrations and for characterizing fluorescent particles on the basis of size, shape, diffusion constant and / or composition. Scanning optical analyzers are provided using pattern recognitions data analysis techniques and multichannel detection.

The invention is directed generally to providing methods and systems for trend extraction and analysis. Embodiments include methods and systems for trend extraction and analysis of information extracted from dynamically changing data included in computer systems and / or networks. Various exemplary embodiments are provided that may generate characteristic indicators for trend(s) and / or distribution(s) for one or more data sources by use of, for example, temporal indicators derived through analysis of the difference in contribution separate portions of the data to the whole data set being considered, contribution of individual sources, and / or the interaction of the separate portions of the data with one another. Some exemplary approaches may include the use of singular value decomposition (SVD) and higher-order singular value decomposition (HOSVD) data extraction and analysis techniques. One use of these techniques is in the analysis of the dynamic data contained in Weblogs and the blogosphere.

The present invention provides a method and apparatus for determination of the quality of a formation fluid sample including monitoring permeability and mobililty versus time to determine a filtrate contamination level, single phase state without gas and solids in the formation fluid, as it existed in the formation and the determination of laminar flow from the formation. The present invention also enables determination of an optimal pumping rate to match the ability of a subsurface formation to produce a single phase formation fluid sample in minimum time. The method and apparatus also detect pumping problems such as sanding and loss of seal with borehole.

The invention relates bridge structure safety evaluation technology by means of combining vibration measuring and structural model analysis techniques for bridge erosion evaluation and pre-warning monitoring applications. This technology can also be applied for long-term bridge structure monitoring and safety evaluation as well as judgment and evaluation of rail structure abnormality.

The invention relates generally to ion mobility based systems, methods and devices for analyzing samples and, more particularly, to sample detection using multiple detection and analytical techniques in combination.

This invention relates to a distributed disturbance sensing device based on polarization sensitive optical frequency domain reflectometry (OFDR) and the related demodulation thereof. The device, adopting OFDR, polarization controlling and analysis techniques, consists of a ultra-narrow linewidth tunable laser source module, polarization generating and polarization splitting balanced detecting module, laser source optical frequency and phase monitoring module, high-speed optical switch and so on to establish a large-scale and long-distance optical sensing network. The demodulation method consists of analysis the polarization information from sensing optical fiber, the method of suppressing and compensating of the non-linear optical frequency and the laser phase noise, super-resolution analyzing, advanced denoising method and the polarization information analysis method based on Jones and Mueller's matrices using distributed wave plate model of optical fiber.

An on-line sensing system and method for monitoring in real-time thermal-oxidative breakdown, water contamination, and / or fuel dilution conditions in operational engine lubricating oils. The method of the invention includes an electrochemical impedance analysis technique specific to the particular oil to be monitored. Sensing devices having of at least two electrodes are configured for direct installation in an existing access port, or drain port, of a lubricating oil reservoir. An AC voltage waveform is applied to the sensing device (preferably less than 100 Hz) to produce voltage and current responses between the appropriate electrodes contacting the oil. The magnitude impedance |Z| and phase angle components of the complex impedance are used to characterize the quality and / or condition of the engine oil under test. The system also provides an electrical indication indicative of the percentage remaining useful life of the oil.

The invention provides a method and a system for detecting forest fire. The system is composed of a forest monitoring point which comprises a heavy-duty digital tripod head 1, a thermal infrared imager 2, a visible light camera 3, a micro-meteorological station 4, embedded video processing equipment 5 and a communication bridge 6, and a command and control center which comprises a telemonitoring computer 7 and a communication bridge 8, wherein, the two communication bridges are communicated by a microwave wireless Tcp / IP network. The fire detection work is sequentially performed by the following six major steps: (1) field data acquisition, (2) image data processing, (3) fire recognition and analysis, (4) transmission of recognition results, (5) fire probability assessment and (6) automaticfire early warning. The method and the system combines video compression and decompression technology, thermal infrared image recognition and analysis technology, visible light color image recognition and analysis technology, embedded technology, wireless communication technology, remote sensing (RS) technology and 3D geographic information system technology to automatically recognize forest fireand analyze fire strategies, thus the method and the system are characterized by high detection probability of forest fire, low false alarm rate, no artificial participation, strong timeliness, highreliability, advanced technological means and wide market prospects.

An AFM based technique has been demonstrated for performing highly localized IR spectroscopy on a sample surface. Such a technique implemented in a commercially viable analytical instrument would be extremely useful. Various aspects of the experimental set-up have to be changed to create a commercial version. The invention addresses many of these issues thereby producing a version of the analytical technique that cab be made generally available to the scientific community.

Programmatic root cause analysis of application performance problems is provided in accordance with various embodiments. Transactions having multiple components can be monitored to determine if they are exceeding a threshold for their execution time. Monitoring the transactions can include instrumenting one or more applications to gather component level information. For transactions exceeding a threshold, the data collected for the individual components can be analyzed to automatically diagnose the potential cause of the performance problem. Time-series analytical techniques are employed to determine normal values for transaction and component execution times. The values can be dynamic or static. Deviations from these normal values can be detected and reported as a possible cause. Other filters in addition to or in place of execution times for transactions and components can also be used.

The invention provides an expression interaction method based on face tracking and analysis, belonging to the field of figure and image processing and computer vision. The method comprises the following steps of: collecting an expression image of a face by a camera; carrying out analysis processing on a captured face image in time according to a face tracking and expression analysis technology, so as to track the face and extract expression parameters; and then driving a target three-dimensional face model according to the extracted expression parameters to do same expression animations. The expression interaction method provided by the invention has the advantages of strong automation, robustness and interactivity and is applicable to the fields of film production, three-dimensional games, interactive multimedia and the like.

The invention provides an automatic analysis method and system of malicious codes based on an API (application program interface) HOOK. An API HOOK technology and a remote thread implantation technology are utilized to monitor samples; influences of the malicious codes on the whole system in an operation process are recorded, and a dynamic analysis report is automatically generated; influences of malicious code samples on a file, a network, and a registry and a key process are recorded, and when the operation of the samples ends, the system recovers the state before the samples are executed; the whole monitoring, recording and reduction process ends automatically without manual intervention; monitoring software can only run a sample each time, the monitoring software is used for monitoring the host process of the samples and process threads created by the host process of the samples, and when the monitoring software finishes the monitoring, the system recovers the state before the samples are operated; behaviors such as creation, deletion, modification and the like of the malicious code samples on the file are detected, operation behaviors of the malicious code samples on the network are detected, behaviors such as addition, deletion, modification and the like of the malicious code samples on the registry are detected, and operation behaviors of the malicious code samples on the create process are detected; and finally the dynamic monitoring report on the malicious code samples is submitted, and when the monitoring is finished, the monitoring software carries out inversion operation to restore the system to the state before the samples are operated according to the operations and influences of the samples on an operating system. The intelligent analysis technology of the malicious codes is suitable for analyzing a great deal of samples without the manual intervention, and is quicker in analysis speed and less in garbage in the analysis report.

The invention “Ion Trap Array (ITA)” pertains generally to the field of ion storage and analysis technologies, and particularly to the ion storing apparatus and mass spectrometry instruments which separate ions by its character such as mass-to-charge ratio. The aim of this invention is providing an apparatus for ion storage and analysis comprising at least two or more rows of parallel placed electrode array wherein each electrode array includes at least two or more parallel bar-shaped electrodes, by applying different phase of alternating current voltages on different bar electrodes to create alternating electric fields inside the space between two parallel electrodes of different rows of electrode arrays, multiple linear ion trapping fields paralleled constructed in the space between the different rows of electrode arrays which are open to adjacent each other without a real barrier. This invention also provides a method for ion storage and analysis involving with the trapping, cooling and mass-selected analyzing of ions by this apparatus mentioned which constructs multiple conjoint linear ion trapping fields in the space between the different rows of electrode arrays

The invention relates to gas-phase and solid-phase flow particle online kinetic characteristic analysis technology, aiming at providing a method and a device which are used for the online measurement of intraductal gas-phase and solid-phase flow particle two-dimensional velocity field and particle size distribution. The device comprises a laser which is a low-power continuous laser of an emitting sheet laser; the laser is movably arranged on a guideway surrounding a pipeline to be measured, the plane of the guideway is vertical to the axial lead of the pipeline to be measured; a CCD camera is also movably arranged on the guideway, with the lens direction vertical to the direction of the plane of the sheet laser; and the measured position of the pipeline is installed with a transparent glass window. The technology has low cost, compact measuring system and strong field operability, and can carry out online real-time measurement on particle field two-dimensional speed, particle size distribution and particle concentration to different sectional flow fields in the pipeline.

Methods and systems for detecting the presence of analytes using a membrane based detection system are described. A fluid sample is passed through a membrane based detection system (100). Particulate analytes (e.g., microbes) are captured by the membrane (110). Detection and analysis techniques may be applied to determine the identity and quantity of the captured analytes.

Methods for optimizing petroleum reservoir analysis and sampling using a real-time component wherein heterogeneities in fluid properties exist. The methods help predict the recovery performance of oil such as, for example, heavy oil, which can be adversely impacted by fluid property gradients present in the reservoir. Additionally, the methods help optimize sampling schedules of the reservoir, which can reduce overall expense and increase sampling efficiency. The methods involve the use of analytical techniques for accurately predicting one or more fluid properties that are not in equilibrium in the reservoir. By evaluating the composition of downhole fluid samples taken from the reservoir using sensitive analytical techniques, an accurate base model of the fluid property of interest can be produced. With the base model in hand, real-time data can be obtained and compared to the base model in order to further define the fluid property of interest in the reservoir.

Improved processors and processing methods are disclosed for high-speed computerized comparison analysis of multiple linear symbol or character sequences, such as biological nucleic acid sequences, protein sequences, or other long linear arrays of characters. These improved processors and processing methods, which are suitable for use with recursive analytical techniques such as the Smith-Waterman algorithm, and the like, are optimized for minimum gate count and maximum clock cycle computing efficiency. This is done by interleaving multiple linear sequence comparison operations per processor, which optimizes use of the processor's resources. In use, a plurality of such processors are embedded in high-density integrated circuit chips, and run synchronously to efficiently analyze long sequences. Such processor designs and methods exceed the performance of currently available designs, and facilitate lossless higher dimensional sequence comparison analysis between three or more linear sequences.

The invention discloses a method for distinguishing a reservoir fluid type by adopting resistivity data, relating to the technological field of petroleum and gas logging, geology and core test analysis. The method comprises the following steps of: a. logging by utilizing core data scales and accurately calculating reservoir shale content, rock constituent and porosity; b. eliminating the influence of rock characters and the porosity on resistivity; c. utilizing a core test to obtain the parameters of m, a, n and b reflecting a pore structure, calculating the resistivity lower limit RR of an air layer and eliminating the influence of the pore structure on the resistivity; and d. distinguishing the reservoir fluid type by comparing a deep-induction and deep- lateral resistivity value RT andthe resistivity lower limit RR of the air layer obtained in the step c. The invention eliminates the influence of non-fluid factors of the rock characters, the porosity, the pore structure and the like on the resistivity, and maintains and utilizes the response characteristics of fluids with different resistivities so as to greatly enhance the coincidence rate for distinguishing the reservoir fluid type.

A method and system allowing the analysis of risk through the use of Monte Carlo simulation, statistical and data analysis, stochastic forecasting, and optimization. The present invention includes novel methods such as the detailed reporting capabilities coupled with advanced analytical techniques, an integrated risk management process and procedures, adaptive licensing technology, and model profiling and storage procedures.

Methods for detecting areas of interest in an image using combined edge magnitude and edge direction analysis techniques are presented. One embodiment features using thermal imaging data to detect hotspots in maritime settings that may be potential targets for tracking or weapons systems. The edge magnitude and edge direction data are derived from the intensity image and then combined with the intensity image and analyzed morphologically to remove noise and background elements. The combined image data is then selectively filtered to remove horizontal non-target elements and then analyzed further against target size information to determine which detected and analyzed hotspots are valid targets. Another embodiment features receiving as input an intensity image along with its associated edge magnitude and edge direction images, which have both been created by a means outside the detection method. Yet another embodiment features a detection method that does not selectively filter out horizontal image elements.

The invention relates to a centrifugal micro-fluidic chip for detecting pesticide residue and a preparation method thereof. The centrifugal micro-fluidic chip for detecting the pesticide residue is a disk type chip with a micro structure and a micro channel and consists of multiple layers of chips; the mixing, extracting, reacting, separating and developing process of a sample to be measured and a reagent is realized under the drive of a centrifugal force generated by rotating a centrifugal machine; and finally, the content of the pesticide residue in the sample is quantitatively detected by using an ultraviolet visible light spectrophotometer. The centrifugal micro-fluidic chip for detecting the pesticide residue can be used for directly sampling without pretreating the sample; the consumption of the sample and the reagent is low; a plurality of samples can be simultaneously treated and detected in parallel, and thus the integration, the micromation and the automation of the pesticide residue detection are realized; and the centrifugal micro-fluidic chip has the characteristics of economy, quickness and portability and provides a brand-new analysis technology for quickly detecting the pesticide residue of water bodies, foods and soil.

The invention discloses a method for judging the reservoir fluid type of a difference between density porosity and neutron porosity and relates to the technical fields of oil and gas logging and geology and core test analysis. The method comprises the following steps: 1) accurately calculating the shale content, the rock composition, the density porosity and the neutron porosity of a reservoir bycore data calibrating logging and logging data environmental correction; 2) removing the influence of factors of lithology, well diameter and mud invasion on density and neutron data; and 3) establishing standards for judging the reservoir fluid type by utilizing the response difference of the density and the neutron data to gas and formation water and by comparing the values of the density porosity and the neutron porosity. When the invention judges the reservoir fluid type by utilizing the density and the neutron data, non-fluid influencing factors, such as lithology, borehole conditions, mud invasion and the like are removed, therefore, influence features of different fluids to the density and the neutron data can be truly reflected, and the coincidence rate for judging the reservoir fluid type can be enhanced to above 90 percent from the existing 70 percent.

A water trap system based on a thermoelectric cooling device is employed to remove a major fraction of the water from air samples, prior to analysis of these samples for chemical composition, by a variety of analytical techniques where water vapor interferes with the measurement process. These analytical techniques include infrared spectroscopy, mass spectrometry, ion mobility spectrometry and gas chromatography. The thermoelectric system for trapping water present in air samples can substantially improve detection sensitivity in these analytical techniques when it is necessary to measure trace analytes with concentrations in the ppm (parts per million) or ppb (parts per billion) partial pressure range. The thermoelectric trap design is compact and amenable to use in a portable gas monitoring instrumentation.