1393 results about "Automated method" patented technology

Automated methods and systems for the detection and analysis of plaque in one or more regions of a patient's vasculature are described.

The present invention is directed to a computer automated method of selectively identifying a user specified behavior of a crowd. The method comprises receiving video data but can also include audio data and sensor data. The video data contains images a crowd. The video data is processed to extract hierarchical human and crowd features. The detected crowd features are processed to detect a selectable crowd behavior. The selected crowd behavior detected is specified by a configurable behavior rule. Human detection is provided by a hybrid human detector algorithm which can include Adaboost or convolutional neural network. Crowd features are detected using textual analysis techniques. The configurable crowd behavior for detection can be defined by crowd behavioral language.

An automated method and/or system for identifying suspected lesions in a brain is provided. A processor (a) provides a magnetic resonance image (MRI) of a patient's head, including a plurality of slices of the patient's head, which MRI comprises a multispectral data set that can be displayed as an image of varying pixel intensities. The processor (b) identifies a brain area within each slice to provide a plurality of masked images of intracranial tissue. The processor (c) applies a segmentation technique to at least one of the masked images to classify the varying pixel intensities into separate groupings, which potentially correspond to different tissue types. The processor (d) refines the initial segmentation into the separate groupings of at least the first masked image obtained from step (c) using one or more knowledge rules that combine pixel intensities with spatial relationships of anatomical structures to locate one or more anatomical regions of the brain. The processor (e) identifies, if present, the one or more anatomical regions of the brain located in step (d) in other masked images obtained from step (c). The processor (f) further refines the resulting knowledge rule-refined images from steps (d) and (e) to locate suspected lesions in the brain.

The present invention relates to a scaleable automatic method of using multiple techniques to generate models and combinations of models from data and prior knowledge. The system provides unprecedented ease of use in that many of the choices of technique and parameters are explored automatically by the system, without burdening the user, and provides scaleable learning over distributed processors to achieve speed and data-handling capacity to satisfy the most demanding requirements.

An automated method and system for determining the state of a drilling or other suitable well operations includes storing a plurality of states for the well operation. Mechanical and hydraulic data is received for the well operation. Based on the mechanical and hydraulic data, one of the states is automatically selected as the state of the well operation. Process evaluation may be performed based on the state of the well operation.

An automated method is described for developing an automated speech input semantic classification system such as a call routing system. A set of semantic classifications is defined for classification of input speech utterances, where each semantic classification represents a specific semantic classification of the speech input. The semantic classification system is trained from training data having little or no in-domain manually transcribed training data, and then operated to assign input speech utterances to the defined semantic classifications. Adaptation training data based on input speech utterances is collected with manually assigned semantic labels. When the adaptation training data satisfies a pre-determined adaptation criteria, the semantic classification system is automatically retrained based on the adaptation training data.

A method for producing orthodontic aligners uses a CAD system to modify a digital model of the patient's oral anatomy to incorporate features that accommodate attachment of aligner auxiliaries to the completed aligner(s).

A method for a client and server based messaging system efficiently exchanges messages over an IP connection in a wireless network. Also included is an automated method by which a messaging client can request intelligent and efficient presence updates from the wireless network by utilizing timers and adapt such timers based on load conditions in the wireless network.

Disclosed is a hybrid fiber tow that comprises multiple continuous filaments and nanoscale fillers embedded in the interstitial spaces between continuous filaments. Nanoscale fillers may be selected from a nanoscale graphene plate, non-graphite platelet, carbon nano-tube, nano-rod, carbon nano-fiber, non-carbon nano-fiber, or a combination thereof. Also disclosed are a hybrid fiber tow impregnated with a matrix material and a composite structure fabricated from a hybrid fiber tow. The composite exhibits improved physical properties (e.g., thermal conductivity) in a direction transverse to the continuous fiber axis. A roll-to-roll process for producing a continuous fiber tow or matrix-impregnated fiber tow and an automated process for producing composite structures containing both continuous filaments and nanoscale fillers are also provided.

An automated method of scheduling activities between users having on-line calendar information available to a network, comprises: electronically reading respective on-line calendar information across said network, the respective calendar information being of a plurality of users intended for a planned activity, thereby to find times of mutual availability, and electronically writing to respective on-line calendar information across said network, to reserve a time slot for said planned activity at respective intended users.

The present invention provides systems, devices, apparatuses and methods for automated bioprocessing. Examples of protocols and bioprocessing procedures suitable for the present invention include but are not limited to: immunoprecipitation, chromatin immunoprecipitation, recombinant protein isolation, nucleic acid separation and isolation, protein labeling, separation and isolation, cell separation and isolation, food safety analysis and automatic bead based separation. In some embodiments, the invention provides automated systems, automated devices, automated cartridges and automated methods of western blot processing. Other embodiments include automated systems, automated devices, automated cartridges and automated methods for separation, preparation and purification of nucleic acids, such as DNA or RNA or fragments thereof, including plasmid DNA, genomic DNA, bacterial DNA, viral DNA and any other DNA, and for automated systems, automated devices, automated cartridges and automated methods for processing, separation and purification of proteins, peptides and the like.

Embodiments of the invention are directed to system and method for managing parallel development of projects. One embodiment of the invention is a method of automatically managing processes in the parallel development of an application through a graphical user interface. The graphical user interface manages the automated processes, which are able to complete their tasks without further user interaction. The automated processes managed by the graphical user interface include, provisioning a first development environment and second development environment. The processes also includes deploying a second release of an application to the second development environment, and merging modifications to the second source code and the second content of the second release into a first source code and a first content of the first release. After the releases have been merged together, the process automatically deploys the third release of the application to a production environment for use by users.

Chat categorization uses semi-supervised clustering to provide Voice of the Customer (VOC) analytics over unstructured data via an historical understanding of topic categories discussed to derive an automated methodology of topic categorization for new data; application of semi-supervised clustering (SSC) for VOC analytics; generation of seed data for SSC; and a voting algorithm for use in the absence of domain knowledge/manual tagged data. Customer service interactions are mined and quality of these interactions is measured by “Customer's Vote” which, in turn, is determined by the customer's experience during the interaction and the quality of customer issue resolution. Key features of the interaction that drive a positive experience and resolution are automatically learned via machine learning driven algorithms based on historical data. This, in turn, is used to coach/teach the system/service representative on future interactions.

An automated method and system estimates income of an individual loan applicant using credit bureau information and loan attributes. The method and system can use the credit bureau and loan information to calibrate an applicant's debt-burden in cases where such information is not readily available or is unverifiable. The method and system can automatically verify income for applicants who choose to state their income in lieu of providing adequate documentation. Further, the method and system can be applicable to any retail lending business including, but not limited to, mortgage, auto loan, and credit cards, where credit bureau information forms a part of the data collection process and is available along with applicant's information.

An automated method and system for testing a web site for vulnerability to a cross site scripting (XSS) attack are disclosed. The automated tool injects a tracer value into both GET and POST form data, and monitors the resultant HTML to determine whether the tracer value is returned to the local machine by the server to which it was sent. If the tracer value is returned, the automated tool attempts to exploit the web site by injecting a non-malicious script as part of an input value for some form data, based on the location in the returned HTML in which the returned tracer value was found. If the exploit is successful, as indicated by the non-malicious script, the automated tool logs the exploit to a log file that a user can review at a later time, e.g., to assist in debugging the web site.

The present invention relates to methods for the preparation of inorganic nanoparticles capable of fluorescence, wherein the nanoparticles consist of a host material that comprises at least one dopant. The synthesis of the invention in organic solvents allows to gain a considerably higher yield compared to the prior art synthesis in water. All kinds of objects can advantageously be marked and reliably authenticated by using an automated method on the basis of a characteristic emission. Further, the size distribution of the prepared nanoparticles is narrower which renders a subsequent size-selected separation process superfluous.

An automated analyzer for performing multiple diagnostic assays simultaneously includes multiple stations, or modules, in which discrete aspects of the assay are performed on fluid samples contained in reaction receptacles. The analyzer includes stations for automatically preparing a specimen sample, incubating the sample at prescribed temperatures for prescribed periods, preforming an analyte isolation procedure, and ascertaining the presence of a target analyte. An automated receptacle transporting system moves the reaction receptacles from one station to the next. The analyzer further includes devices for carrying a plurality of specimen tubes and disposable pipette tips in a machine-accessible manner, a device for agitating containers of target capture reagents comprising suspensions of solid support material and for presenting the containers for machine access thereto, and a device for holding containers of reagents in a temperature controlled environment and presenting the containers for machine access thereto. A method for performing an automated diagnostic assay includes an automated process for isolating and amplifying a target analyte. The process is performed by automatically moving each of a plurality of reaction receptacles containing a solid support material and a fluid sample between stations for incubating the contents of the reaction receptacle and for separating the target analyte bound to the solid support from the fluid sample. An amplification reagent is added to the separated analyte after the analyte separation step and before a final incubation step.

A fully automated package identification and measuring system, in which an omni-directional holographic scanning tunnel is used to read bar codes on packages entering the tunnel, while a package dimensioning subsystem is used to capture information about the package prior to entry into the tunnel. Mathematical models are created on a real-time basis for the geometry of the package and the position of the laser scanning beam used to read the bar code symbol thereon. The mathematical models are analyzed to determine if collected and queued package identification data is spatially and/or temporally correlated with package measurement data using vector-based ray-tracing methods, homogeneous transformations, and object-oriented decision logic so as to enable simultaneous tracking of multiple packages being transported through the scanning tunnel.