81 results about "High level analysis" patented technology

A system and method provide for the creation and operation of real-time enterprise-wide, personalize supervisory and control data acquisition systems. Personalized SCADA applications are constructed from a virtual application service and a personal agent framework using simple drag and drop operations or other high level action. The virtual application service includes a communications gateway that communicates with disparate and non-interoperable systems and external field devices to communicate low level time data collected from such systems into the application environment transforming the collected data in a single common data format. The virtual application service includes application cells that receive the reformatted data and process it to provide high level analysis and context, storing the processed data in an object server. The object server provides a unified, hierarchical object model for all of the data received from the underlying devices and systems. The virtual application service communicates with personal agent frameworks containing presentation cells and service agents. The service agents are representative of the virtual application service, and provide the personal agent framework with access to the object server to receive and send data from the object server to the presentation cells. The presentation cells subscribe to the object server's data objects via the service agent. Presentation cell provide a graphical representation and mapping of data objects and hence underlying devices and systems, to allow a user to manage and control such systems.

The system for real time train disaster vulnerability assessment and rescue guidance using multi layered video computational analytics comprises digital video cameras mounted on train, video cameras mounted at fixed locations on rail route; unmanned aerial monitoring vehicle; train on-broad computer system mounted on train and centralized system centrally located in railway network. The digital video cameras capture video images of railways track and adjacent structure from running train and automatically compute degree of disaster vulnerability from collective analysis of output from all video cameras. In case degree of disaster vulnerability exceeds predetermined threshold value a disaster alert is triggered to take immediate precautionary measures while simultaneously activating On Board Rescue and Response System. In case degree of disaster vulnerability is below predetermined threshold value, the analytics output is transmitted to higher level modules for in-depth advanced analytics by combining real-time train data or real-time geographic and environmental data contributing to a potential disaster.

Embodiments of the invention provide data management solutions that go beyond the traditional warehousing system to support advanced analytics. Furthermore, embodiments of the invention relate to systems and methods for extracting data from an existing data warehouse, storing the extracted data in a reusable (intermediate) form using data parallel and compute parallel techniques over cloud, query processing over the data with / without compute parallel techniques, and providing querying using high level querying languages.

As file systems reach the petabytes scale, users and administrators are increasingly interested in acquiring high-level analytical information for file management and analysis. Two particularly important tasks are the processing of aggregate and top-k queries which, unfortunately, cannot be quickly answered by hierarchical file systems such as ext3 and NTFS. Existing pre-processing based solutions, e.g., file system crawling and index building, consume a significant amount of time and space (for generating and maintaining the indexes) which in many cases cannot be justified by the infrequent usage of such solutions. User interests can often be sufficiently satisfied by approximate (i.e., statistically accurate) answers. A just-in-time sampling-based system can, after consuming a small number of disk accesses, produce extremely accurate answers for a broad class of aggregate and top-k queries over a file system without the requirement of any prior knowledge. The system is efficient, accurate and scalable.

Embodiments of the invention enhance a garbage collection process running on a parallel system or distributed computing environment. Using a garbage collector in such an environment allows a more in-depth analysis to be performed than is possible on other systems. This is because the number of compute nodes present in many parallel systems, and the connections between them, allows the overhead of doing advanced analysis to be spread across the nodes and the results of that analysis to be shared among the nodes.

A method for a customized, scalable and cost-efficient solution to enable source code level solutions to provide zero percentage false positives as well as a controlled false negative ratio to detect software security vulnerabilities accurately and in time. The method includes secure uploading of the source code, initial analysis and customizing according to accuracy and depth defined to enable control of the false negative ratio. The method also includes application processing, advanced analyzing, performing report development and delivering a secure report. The initial analysis provides for a human analyst “built-in” as part of the process that performs the analysis on initial results and the filtering of the results to contain ONLY relevant security vulnerabilities

A method and system allowing banks and financial institutions the capability to perform advanced risk analyses that central banks and banking regulators require, such that the banks are in compliance with the Basel II Accord requirements. This system is both a standalone and server-based set of software modules and advanced analytical tools that is used to quantify and value credit and market risk, as well as forecast future outcomes of economic and financial variables, and generate optimal portfolios that mitigate risks.

The embodiments herein provide a system and method for improving employee performance and engagement at the workplace. The embodiments herein employ gamification and predictive analytics to improve employee performance and engagement at the workplace. The system includes an action tracking module, a gamified performance management module, and a gamified learning module. The system provides a metric to measure employee engagement (measured through activity and impact points) and reward the employees accordingly. The system enables overall transparency and monitoring of input and output metrics. Further, the system brings together peer feedback, senior management feedback, advanced analytics, learning and knowledge levels and self-management practices (such as personalized goal-setting) onto a common platform, thus serving to be a comprehensive new age performance management system.

An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

The invention discloses a failure analysis and exhibition method of a power generator excitation system. The failure analysis and exhibition method comprises the following steps of: 1, on the basis of failure analysis and induction, establishing a power generator excitation system failure tree; 2, classifying failure signals of the failure tree obtained in the step 1 according to the severity orders of the failures; 3, determining the priority of signal processing according to the severity orders of the failures in accordance with the failure signal classifying in the step 2, and locating a failure source; 4, exhibiting a diagnosis result in the step 3 on the failure tree by using different modes according to different types of the failures in accordance with the correspondence of the diagnosis result in the step 3 to the failure tree of the power generation excitation system, wherein the failure tree is established in the step 1; and 5, establishing an expert knowledge base. According to the invention, the timeliness of the failure diagnosis of the power generation excitation system can be increased, abnormal information is subjected to high-level analysis, the failure source is finally located, a simple and visual failure display interface is provided for a worker, and the maintenance time can be greatly reduced.

A wireless, battery-powered electrocardiograph (ECG) monitoring system, along with a method of use for detecting and analyzing patient's cardiovascular activity and interactively transmitting the data to a wireless computing device via telemetry. The wireless computing device can include but is not limited to a mobile phone, Tablet-PC or a laptop computer. ECG monitor contains a processor that continuously processes received ECG signals, stores the signals in memory and performs a series of analysis on the recorded data using pre-stored software algorithms. When an abnormality is detected, a wireless transceiver transmits the processed ECG data to a wireless computing device for viewing and further analysis, by displaying the received ECG data for doctor's viewing, sending the data to a web-based server computer for remote access, performing additional advanced analysis on the data and downloading new algorithms and instructions into the ECG monitoring device via telemetry.

The System for the automated analysis of a sporting match comprises:a video acquisition module for receiving video data related to a tennis match;a video processing module operatively connected to the video acquisition module and suitable for processing the video data;a database operatively connected to the video processing module and suitable for saving the processed video data;a debriefing module operatively connected to the database for the debriefing of the processed video data on at least a user device;wherein the video processing module comprises a high-level analysis unit for generating high-level statistic data from the processed video data.

The invention provides an intelligent retrieval method and system for a patent. The method comprises steps including a first retrieval formula acquisition step, a retrieval result A acquisition step, a high-frequency key word extraction step, a second retrieval formula acquisition step, a retrieval result B acquisition step, a feature vector extraction step and a retrieval result C acquisition step. With the adoption of the intelligent retrieval method and system for the patent, key words can be adjusted intelligently and automatically for correction of the retrieval direction, features are extracted from preliminary retrieval results, so that key word retrieval is replaced by feature retrieval, the retrieval precision is improved, and missing retrieval can be effectively prevented; secondary screening is performed in combination with key words such as the publication date and the like, retrieval results with advanced analysis functions such as patent early-warning, patent value and the like can be acquired, all retrieval results are acquired step by step through repeated retrieval in different ranges, so that the retrieval calculation quantity and the retrieval quantity are reduced, and the retrieval time is shortened.

The invention belongs to the technical field of medical apparatuses, and in particular relates to a wearable digital electroencephalogram monitoring helmet, which comprises acquisition electrodes, emitting systems, a helmet abnormal electroencephalogram recognition and alarm system, a helmet shell, a monitoring terminal system and a remote advanced electroencephalogram epileptiform discharge automatic analysis recognition and early warning system, wherein the acquisition electrodes are fixedly connected to the inner side of the helmet shell; the emitting systems are fixedly connected to two sides of the helmet shell; and the helmet recognition and alarm system is fixedly arranged in the helmet shell. The problem that effective protective and treatment measures cannot be adopted timely since it is low in rate of discovering the positive rate of epileptiform attack in a conventional electroencephalogram and monitoring and alarming effects for epileptiform of a patient are in lack can besolved; the helmet provided by the invention, on the basis of double early warning measures, namely simple alarming and remote advanced analysis recognition alarming, can timely and precisely discoveroncoming attack and in-attack of patient's epilepsy and can detect the positive rate of epileptiform discharge, so that preventing and alarming effects can be achieved, and subsequently effective protective and treatment measures can be adopted timely so as to protect patient's security.

Embodiments of the invention provide data management solutions that go beyond the traditional warehousing system to support advanced analytics. Furthermore, embodiments of the invention relate to systems and methods for extracting data from an existing data warehouse, storing the extracted data in a reusable (intermediate) form using data parallel and compute parallel techniques over cloud, query processing over the data with / without compute parallel techniques, and providing querying using high level querying languages.

An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

The present invention relates to a system for managing and diagnosing a state of a facility apparatus, and an object thereof is to provide a system for diagnosing the facility apparatus wherein, if information falling under a level of abnormality is extracted from gathered information on an operating state of the facility apparatus, an advanced analysis and diagnosis section on a facility diagnosis center side performs an advanced analysis and diagnosis process and promptly notifies a user side of the information on the best way of dealing with the facility apparatus determined to be abnormal, and further uploads a facility management data analysis program from the advanced analysis and diagnosis section to a facility monitoring section on the user side so that raw information of a large information amount can be analyzed on the user side without sending it to the facility diagnosis center side. A facility management data processing section (3a) signal-processes facility state detecting information detected by facility state detectors (2a, 2b) mounted on a facility apparatus (1), a facility state determining section (4) determines a level of the signal-processed information comparing with a management reference value and outputs it, the facility monitoring section (5) gathers and processes the information related to the level-determined facility apparatus (1) and sends it to the advanced analysis and diagnosis section (6) via a communication network (10), and the advanced analysis and diagnosis section (6) performs an advanced analysis of the information and identifies a cause of the abnormality of the facility apparatus (1) concerned and improvement measures thereof to send the identified results to the facility monitoring section (5). In addition, it is characterized in that the facility management data analysis program is uploaded from the advanced analysis and diagnosis section (6) to the facility monitoring section (5) so that the advanced analysis can be performed on the user side B.

A system that incorporates teachings of the present disclosure may include, for example network device having a controller to receive multiple streams of content for portions of a multimedia work (MMW), perform a high level analysis for features in each of the streams for the MMW, perform a specialized analysis on the portion having a detected general feature to generate a content analysis output, correlate the content analysis output with other content analysis of the MMW, and output a weighted content description based on the correlation function. Other embodiments are disclosed.

A computer implemented method, apparatus, and computer program product is provided for selecting subjects for treatment study cohorts. A set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study is identified. Attribute data associated with subjects in the pool of available subjects is clustered at the atomic level to form clustered cohort data. A set of optimized subjects from a pool of available subjects is selected using the clustered cohort data and the set of selected dimensions. Subjects in the set of optimized subjects are optimized across the set of selected dimensions. Each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group.

Systems and methods for cloud-based surveillance for an operation area are disclosed. At least two input capture devices, at least one safety control device and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform automatically generates 3-Dimensional (3D) surveillance data based on received 2-Dimensional (2D) video and / or image inputs and perform advanced analytics and activates the at least one safety control device based on analytics data from advanced analytics.

The scalable high-level fusion of structured and unstructured data includes ingesting and processing unstructured data to produce a statistical model stored as extracted entities then mapped to a collection of resource description framework (RDF) triples, and applying a semantic analysis to a set of structured data to produce a logical model stored as a collection of triples. Reasoners are applied to both models generating an extended knowledge graph of both base and inferred knowledge that is decomposed into a wide table database, with each row storing a corresponding triple, and a reasoner converting the RDF triples into associated triples by adding a new column to the database in response to detecting a new predicate for a subject already present in one of the rows of the database so that the new predicate is stored in the new column in a new row created for the subject already present.

Systems and methods for cloud-based surveillance for an operation area are disclosed. At least two input capture devices, at least one safety control device and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform automatically generates 3-Dimensional (3D) surveillance data based on received 2-Dimensional (2D) video and / or image inputs and perform advanced analytics and activates the at least one safety control device based on analytics data from advanced analytics.

The present invention relates generally to a system and device for compartmentalizing data acquisition functions within hardware and software components, web services, and the like. More specifically, the system comprises a number of data providers including web services configured to receive transaction parameters from a payment network gateway system. The gateway system routes payment requests to appropriate payment processors and further parses the payment request for parameters. An information request including the parameters is sent to a cataloging service, which selects one or more web services based on the information request and parameters. The cataloging service sends the parameters to the one or more web services, which retrieves information based on a parameter and returns the information to the gateway server. The gateway server processes the information with the original transaction data and stores the combined information in a database.

A computer implemented method, apparatus, and computer program product is provided for selecting subjects for treatment study cohorts. A set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study is identified. Attribute data associated with subjects in the pool of available subjects is clustered at the atomic level to form clustered cohort data. A set of optimized subjects from a pool of available subjects is selected using the clustered cohort data and the set of selected dimensions. Subjects in the set of optimized subjects are optimized across the set of selected dimensions. Each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group.

The present invention relates generally to a system and device for compartmentalizing data acquisition functions within various hardware and software components and web services. More specifically, the system comprises a number of data providers including web services configured to receive transaction parameters from a payment network gateway system. The gateway system routes payment requests to appropriate payment processors and further parses the payment request for parameters. An information request including the parameters is sent to a cataloging service, which selects one or more web services based on the information request and parameters. The cataloging service sends the parameters to the one or more web services, which retrieves information based on a parameter and returns the information to the gateway server. The gateway server processes the information with the original transaction data and stores the combined information in a database.

A system for integrated performance measurement environment comprises a plurality of composite data from a plurality of composite data sources, wherein the plurality of composite data further comprises a plurality of structured data, a plurality of unstructured data, and a plurality of signal data; an extract transform load module; a database receiving the plurality of composite data from extract transform load module and storing the plurality of composite data as the plurality of stored data; a business logic module; at least one graphical user interface; a set of graphical presentations of a plurality of processed data comprising charts, graphs, reports, and tables, and a combination thereof on a computer device; and at least one network; and methods performing the same including extracting, transforming, and loading composite data into the system, retrieving data in accordance with rules in metrics catalog and business intelligence blocks, drilling down the metrics catalog and business intelligence blocks, and collaborating over the system and method thereof.

Systems and methods for cloud-based surveillance in a retail store is disclosed. At least two input capture devices and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform generates 3-Dimensional (3D) visual representation based on received 2-Dimensional (2D) video and / or image inputs, perform advanced analytics based on input data and generated 3D visual representation, and generates a graphical representation based on analytics data from advanced analytics. In one embodiment, the graphical representation is a heat map, which is an overlay of the 3D visual representation of the entire retail store.