2545results about How to "Efficient analysis" patented technology

A method of analyzing data based on the physiological orientation of a driver is provided. Data is descriptive of a driver's gaze-direction is processing and criteria defining a location of driver interest is determined. Based on the determined criteria, gaze-direction instances are classified as either on-location or off-location. The classified instances can then be used for further analysis, generally relating to times of elevated driver workload and not driver drowsiness. The classified instances are transformed into one of two binary values (e.g., 1 and 0) representative of whether the respective classified instance is on or off location. The uses of a binary value makes processing and analysis of the data faster and more efficient. Furthermore, classification of at least some of the off-location gaze direction instances can be inferred from the failure to meet the determined criteria for being classified as an on-location driver gaze direction instance.

A method of analyzing data based on the physiological orientation of a driver is provided. Data is descriptive of a driver's gaze-direction is processing and criteria defining a location of driver interest is determined. Based on the determined criteria, gaze-direction instances are classified as either on-location or off-location. The classified instances can then be used for further analysis, generally relating to times of elevated driver workload and not driver drowsiness. The classified instances are transformed into one of two binary values (e.g., 1 and 0) representative of whether the respective classified instance is on or off location. The uses of a binary value makes processing and analysis of the data faster and more efficient. Furthermore, classification of at least some of the off-location gaze direction instances can be inferred from the failure to meet the determined criteria for being classified as an on-location driver gaze direction instance.

Embodiments of the invention provide a method for determining errors and metrics in a computer network. The method includes positioning an analyzer in communication with the network, capturing a data trace of the network with the analyzer, determining a network device topology from a first processing of the data trace, building user layer protocols using a second processing of the data trace and the determined device topology, determining errors in the network device topology using protocol experts applied to the user layer protocols in conjunction with the determined device topology, and displaying at least one of the device topology and the determined errors to a user.

Apparatus and methods are provided for analyzing surface characteristics of a test object using broadband scanning interferometry. Test objects amenable to these apparatus and methods include but are not limited to semiconductor wafers, semiconductor devices, metallic surfaces, and the like. An interferometry system is used to obtain an interferometry signal and related to data embodied in the signal representative of the test object surface. This signal and / or data is used to construct an n-dimensional function that includes an independent frequency variable and an independent time variable, and / or an n-dimensional function that includes an independent scale variable and an independent time variable, and / or a multi-domain function. These functions are compared with various models to obtain a best match that is then used to characterize the test object surface.

Systems and methods for the capture, analysis, and reporting of risky driver behavior are provided in combination with coaching of individual drivers to improve driver performance. The system comprises an event capture device that records both audio and video of an event. The event data, which includes the audio, video, and other related information, is provided to an evaluation server where it is then analyzed and scored and compiled with other event data. Event data can be compiled for individual drivers, groups of drivers, and the entire universe of drivers for an organization. The evaluation server provides managers, supervisors, and executives with access to reports including granular information about risky behavior and trends related to individual drivers, groups of drivers, or the entire universe of drivers for the organization. Additionally, the evaluation server provides coaching sessions for drivers (with or without their supervisors) to demonstrate to the driver with audio, video, and other related information (e.g., speed) how the event occurred and improved ways to avoid such an event in the future. In this fashion, driver improvement is achieved and insurance costs may be reduced for the organization.

Disclosed are methods and apparatus for conducting market research and developing product designs. The methods involve generating and presenting, typically electronically, generations of design alternatives to persons participating in the design, selection, or market research exercise. The participants transmit data indicative of their preferences among or between the presented design alternatives. Some of the data is used to conduct a conjoint analysis or non-convergent exercise to investigate the drivers of the preferences of the group or its members, and at least a portion are used to derive follow-on generations of design alternatives or proposals. The follow-on designs are preferably generated through the use of an evolutionary or genetic computer program, influenced by the participants' preferences. The process results in the generation of one or more preferred product forms and information permitting a better understanding of what attributes of the product influence the preferences of the test group members.

Polymers whose surfaces are modified by endgroups that include amphipathic surface-modifying moieties. An amphipathic endgroup of a polymer molecule is an endgroup that contains at least two moieties of significantly differing composition, such that the amphipathic endgroup spontaneously rearranges its positioning in a polymer body to position the moiety on the surface of the body, depending upon the composition of the medium with which the body is in contact, when that re-positioning causes a reduction in interfacial energy. An example of an amphipathic surface-modifying endgroup is one that has both a hydrophobic moiety and a hydrophilic moiety in a single endgroup. For instance, a hydrophilic poly(ethylene oxide) terminated with a hydrophilic hydroxyl group is not surface active in air when the surface-modifying endgroup is bonded to a more hydrophobic base polymer. If the hydroxyl group on the oligomeric poly(ethylene oxide) is replaced by a hydrophobic methoxy ether terminus, the poly(ethylene oxide) becomes surface active in air, and allows the poly(ethylene oxide) groups to crystallize in the air-facing surface. In this example, immersion in water destroys the crystallinity as the poly(ethylene oxide) sorbs water and the hydrophobic methoxy group retreats below the surface of the polymer. Also disclosed are methods and articles of manufacture that make use of these polymers.

Methods for determining transcription rate of mRNA in eukaryotic cells using nuclear runoff transcription where labeled RNA molecules are hybridized against an array of at least 500 nucleic acid molecule probes representing at least part of the genome of the native eukaryotic organism to identify the quantity of nascent mRNA transcripts in said cells. The method can be used to simultaneously identify the quantity of a large number of mRNA transcripts. A rate of degradation for distinct mRNA in a eukaryotic cell rate is determined by comparing a steady state mRNA with nuclear runoff mRNA. Steady state to nuclear runoff ratios are used to determine gene and mRNA structure function relations that leads to gene expression and mRNA stability, predict structural determinants for mRNA stability and predict regulatory motifs for transcription rates. Methods of constructing recombinant organisms with enhanced stability for mRNA expressed from a gene of interest comprise introducing into the genome of an organism a gene containing one or more sequence elements that confer structural stability on mRNA transcribed from said gene.

A method for determining a location of a border in a color image, the image including at least two color populations, between a first color region associated with a first one of the two color populations and a second color region associated with a second one of the two color populations, both the first color region and the second color region being in the color image, the method includes identifying an approximate border location between the first color region and the second color region, determining a plurality of candidate border locations between the first color region and the second color region, each of the plurality of candidate border locations being determined by applying a corresponding border location method chosen from among a plurality of border location methods, choosing one method from among the plurality of border location methods as a preferred method, and determining a location of a border between the first color region and the second color region by designating one of the plurality of candidate border locations associated with the preferred method as the border. Also, an automated optical inspection device suitable for inspection of patterned articles.

A content mining system and process utilizes a combination of term recognition and rules-based activity-event classification, performed using a modular database that defines one or more vertical markets or information sectors, to identify sector relevant evidence. The primary elements of the identified evidence are scored in a manner that rates the relevance of a content item with respect to a set of identified nominative entities, a set of activity-based event categories, further associated as sets of entity-event pairs. A database constructed of the scored information provides a relevancy indexed repository of the original unstructured content items.

Disclosed are methods and apparatus for conducting market research and developing product designs. The methods involve generating and presenting, typically electronically, generations of design alternatives to persons participating in the design, selection, or market research exercise. The participants transmit data indicative of their preferences among or between the presented design alternatives. Some of the data is used to conduct a conjoint analysis or non-convergent exercise to investigate the drivers of the preferences of the group or its members, and at least a portion are used to derive follow-on generations of design alternatives or proposals. The follow-on designs are preferably generated through the use of an evolutionary or genetic computer program, influenced by the participants' preferences. The process results in the generation of one or more preferred product forms and information permitting a better understanding of what attributes of the product influence the preferences of the test group members.

Embodiments of the invention provide a method for determining errors and metrics in a computer network. The method includes positioning an analyzer in communication with the network, capturing a data trace of the network with the analyzer, determining a network device topology from a first processing of the data trace, building user layer protocols using a second processing of the data trace and the determined device topology, determining errors in the network device topology using protocol experts applied to the user layer protocols in conjunction with the determined device topology, and displaying at least one of the device topology and the determined errors to a user.

One embodiment of the present invention sets forth a method for generating a new workflow for an application. The method includes generating a parameter tree related to a current workflow, wherein the parameter tree includes a different node corresponding to each parameter included in one or more documents associated with the current workflow, modifying a value associated with a first node included in the parameter tree based on an input, wherein the first node corresponds to a first parameter included in a first document associated with the current workflow, evaluating a second document associated with the current workflow based on the modified value associated with the first node, and generating the new workflow based on the evaluated second document.

A polyaryl-ether-ketone (PAEK)-based microfluidic device having an integrated electrospray emitter is disclosed. Bonding of at least one PAEK substrate forming the microfluidic device is accomplished using a solvent-resistant adhesive, such as a polyimide-based adhesive, in combination with an adhesion enhancement treatment. By providing the PAEK-based microfluidic device with an integrated electrospray emitter, efficient and effective analysis of fluid samples is enabled.

The present invention is suitable for use in determining symmetry in images, namely 2D images or 3D images, which comprise 2D images slices. In a preferred form, a method is disclosed for extracting a midsagittal plane MSP of human brains from radiological images. The method includes the steps of: 1) determining axial slices to be processed from said radiological images; 2) analysing said axial slices to determine fissure line segments; and 3) calculating plane equation of MSP from said fissure line segments.

The present invention provides methods, systems and equipment for the prognosis, diagnosis and selection of treatment of AML or other types of leukemia. Genes prognostic of clinical outcome of leukemia patients can be identified according to the present invention. Leukemia disease genes can also be identified according to the present invention. These genes are differentially expressed in PBMCs of AML patients relative to disease-free humans. These genes can be used for the diagnosis or monitoring the development, progression or treatment of AML.

Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. The log analytics system, method, and computer program product provide target-based configuration of log monitoring metadata. Variable pathnames (e.g., having variables instead of absolute pathnames) may be specified to identify a directory that contains log files to monitor.

A noise filler for providing a noise-filled spectral representation of an audio signal on the basis of an input spectral representation of the audio signal has a spectral region identifier configured to identify spectral regions of the input spectral representation spaced from non-zero spectral regions of the input spectral representation by at least one intermediate spectral region, to obtain identified spectral regions, and a noise inserter configured to selectively introduce noise into the identified spectral regions to obtain the noise-filled spectral representation of the audio signal. A noise filling parameter calculator for providing a noise filling parameter on the basis of a quantized spectral representation of an audio signal has a spectral region identifier, as mentioned above, and a noise value calculator configured to selectively consider quantization errors of the identified spectral regions for a calculation of the noise filling parameter. Accordingly, an encoded audio signal representation representing the audio signal can be obtained.

Disclosed herein are systems, methods, devices, and media for carrying out medical diagnosis of ophthalmic diseases and conditions. Deep learning algorithms enable the automated analysis of ophthalmic images to generate predictions of comparable accuracy to clinical experts.

The disclosure relates to analyzing and visualizing flows in a supply chain context for the purpose of inventory optimization. Embodiments disclosed include a method of analyzing a process flow in a supply chain context, the method comprising: inputting (3402) a first set of data to an application residing on a processor, relating to products, locations and supply routes connecting the different locations in the supply chain; the application generating (3403) from the first set of data an input data array; inputting (3404) a second set of data relating to measured and forecast flows of products through the supply chain over a defined time period; the application calculating (3405) from the data a series of measures of operation of the supply chain; and, based on one or more of the measures being outside a predefined range, the application generating (3406) an output indicating recommendations for adjusting operation of the supply chain.

A method and system for analyzing the status of a subject. A cordless recording device comprising a set of electrodes is attached on the forehead of the subject to collect brain wave signal data from the subject. Based on the brain wave signal data, status information indicative of the status of the subject during a measurement period is generated. A bioimpedance signal is further measured through two electrodes of the electrode set and heart rate data is derived from the bioimpedance signal. The heart rate data is utilized to enhance the quality of the status information, which is typically sleep state information. The invention also relates to a recording device attachable to the forehead of the subject. The recording may comprise a data memory for storing the data measured from the subject during the measurement period.

The invention discloses an intelligent water resource control platform based on cloud computing and an expert system. The platform comprises a site measurement and control station, an internet of things data transmission system and a cloud computing service platform, and is characterized in that the control platform carries out automatic real-time collection on water resource information of a water supply water source, underground water, a water intake, a boundary control fracture surface and a sewage draining exit and site equipment operating condition information through the site measurement and control station, and real-time data preprocessing is achieved by means of an additionally installed site intelligent controller; internet of things data transmission equipment is adopted in the internet of things data transmission system to sent data of the measurement and control station to the cloud computing platform, and data support is provided for water resource management and advanced applications; the cloud computing service platform achieves real-time monitoring on water resources, monitoring on operating condition and remote on-line maintenance on site monitoring equipment and applications on water resource service, and a water resource decision is utilized to support the expert system to achieve assessment, early warning and emergency commanding of the water resources. The cloud computing and the Internet of things technology are applied to the platform, so measurement and control data are timely and efficiently processed, the intelligent computing technology is applied so that intelligent assessment and early warning of the water resources can be achieved, and safety of the water resources is guaranteed to a great extent.

A system and a method are provided for performing an integrated uncertainty analysis on a system having interacting modules. The interaction of the modules includes data transfer between the modules with the output of one module being indicative of the input of another module. An uncertainty analysis is performed on each module based on given probability density functions of each input to the module. The uncertainty analysis may include developing a deterministically equivalent model for one or more modules. Data may be provided from one module to another in a uniform format. Thus, two or more modules may be integrated with uncertainties in the inputs of one module being effectively propagated to the inputs of another module. A plurality of modules may thus be modeled as a single integrated system. The integrated system may be replaced with a deterministically equivalent model, preferably of a further reduced order. In this manner, key uncertainties in particular inputs may be isolated. Once these inputs are identified, resources may be effectively allocated to minimize the impact of those inputs on the variability of the results.

The invention discloses a user multidimensional analysis and monitoring method based on public information of an internet user. The method comprises the steps as follows: 1), data are collected and pre-processed; 2), the pre-processed data are analyzed and mined; and 3), display and visualization are performed on results of data analysis and mined data, and the data results are collected and used. Internet user data, mainly including micro blog, qq and micro-letter data and including basic personal information of the user and network speech data and main internet business data including related channels of e-business, business forums and web portals and mainly including commodities, commodity sales, user evaluation and the like are collected; the collection is performed through a user-built calculation cluster, and undisclosed information such as age prediction and the like is predicated and complemented according to the public information. More accurate and efficient information collection and analysis can be achieved, and information of a market trend, a reputation for a consumer and the like is better grasped from a quantity angle.

The invention provides a human body posture identification method based on multi-characteristic fusion of a key frame, comprising the following steps of: (1) extracting Hu invariant moment characteristics from a video image; calculating a covering rate of an image sequence; extracting the highest covering percentage of the covering rate as a candidate key frame; then calculating a distortion rate of the candidate key frame and extracting the minimum distortion percentage as the key frame; (2) carrying out extraction of a foreground image on the key frame to obtain the foreground image of a moving human body; (3) extracting characteristic information of the key frame, wherein the characteristic information comprises a six-planet model, a six-planet angle and eccentricity; obtaining a multi-characteristic fused image characteristic vector; and (4) utilizing a one-to-one trained classification model, wherein the classification model is a posture classifier based on an SVM (Secure Virtual Machine); and identifying a posture. The human body posture identification method has the advantages of simplified calculation, good stability and good robustness.

The present invention is directed to a biochemical assay for simultaneous genomic and proteomic analysis.

Methods and apparatus to process online interactions from numerous sources, coming from different time frames and systems. One embodiment includes a facilitator, an interaction processor, and an action generator. The facilitator facilitates interactions in one or more devices, where interactions typically occur. The processor can consolidate and analyze interactions from multiple sources, in different formats, and collected at different time frames, to extract intelligence from them. The processor processes such interactions, and generates an interaction descriptor for each interaction. A descriptor can include a generalization of the corresponding interaction, and at least a part of the interaction. Descriptors for different types of interactions can be represented by the same format to allow the processor to analyze them together. The action generator can improve on future interactions; refer an interaction to be responded by a human representative if necessary; and allow users to extract information from the analysis, and generate reports regarding the interactions. Future interactions can then be significantly enhanced, with customers having higher satisfaction level, and companies more accurately charting their future.

A method and apparatus for analyzing a surface of a test object employs apparatus with a scanning interferometry system which generates a windowed interferometric signal from the surface of a test object to characterize the surface of the test object.

The present invention describes a method that is based on an analysis of document information, and which can be used for conducting and potentially accelerating business opportunity assessments and technology investment decisions. Documents include patent documents, scientific and trade literature, magazines, e-zines, Internet search results and the like. The system can be implemented as an automatic or semi-automatic analysis system, and it ultimately provides a document index or visual index from which technology, investment or business decisions can be drawn. The method comprises the steps of selecting a document data set for analysis, selecting one or more analysis means, such as means to determine relationships among the documents in the selected set, and then, forming a representation of the result for further analysis, display or planning.