562 results about "Influence analysis" patented technology

A method of root cause analysis in a virtual machine environment includes receiving a plurality of events from a system monitoring the virtualized environment. The events may include alarms or alerts, such as alarms or alerts associated with a resource reaching or exceeding a threshold. The capacity manager consumes these events and performs event correlation to produce a set of correlated events. The capacity manager performs a root cause analysis on the set of correlated events to identify one or more root causes. The capacity manager further performs an impact analysis to determine how the root cause impacts the system, such as other virtual machines, hosts or resource in the virtual environment. Based on the root cause and impact analysis, the capacity manager makes one or more recommendations to address issues with or to improve the operations and/or performance of the virtualized environment.

The present invention is directed to a system, method, and article of manufacture that employs a sentiment engine for conducting sentiment and influence analysis of various types of messages from the social media hosts or websites to extract opinions on different categories, which includes services, products or hotels, and others, collectively referred to as “the keyword product”. The sentiment engine includes a sentiment module configured to gather opinions or determine sentiment expressed in documents, a crawling module configured to servers of social network websites to obtain at least a subset of the documents or opinions from social media websites, a keyword module configured to extract keywords from documents, a filtering module configured to filter keywords and documents, and a classification module configured to classify documents, sentences, and/or keywords, a polarity prediction module configured to predict the polarity of a sentiment sentence, and a social media net promoter score configured to calculate a loyalty metric of users from social media websites, and a message analysis module configured to conduct analysis of a message from host social media sites, forums, blogs and product/service providers. The message analysis module includes analyzing message from other host social media sites.

A system and method for debt management is provided, comprising logic for receiving financial information, wherein the financial information comprises debt information. The system further comprises logic for generating a debt impact analysis based on the financial information, and logic for generating a first debt management proposal by analyzing a first impact of the first proposal on the financial information. The system further comprises logic for generating a second debt management proposal by analyzing a second impact of the second proposal on the financial information, and logic for comparing the first and second debt management proposals. The system further comprises logic for generating a user interface comprising one of the first and second debt management proposals, based on the comparison of the first and second proposals.

A technique for determining an impact of a condition (e.g., service outage) of at least one subject component in a computing environment comprises the following steps/operations. First, one or more components in the computing environment which depend on the at least one subject component (e.g., dependents) are identified. Identification comprises traversing at least a portion of a model representative of an existence of one or more relationships associated with at least a portion of components of the computing environment and which is capable of accounting for a full lifecycle (e.g., including deployment, installation and runtime) associated with at least one component of the computing environment. Then, one or more procedures are performed in accordance with the one or more identified components to determine a condition status associated with each of the one or more identified components. By way of example, the inventive techniques may be applied to a distributed computing environment. The computing environment may also be an autonomic computing environment.

A virtual domain management system is provided which associates application, physical and virtual domains to enable propagation of events, symptoms and other information across the domains. The virtual domain manager collects events and symptom information across multiple domains by correlating domain topology models. Using a causality matrix and codebook technology the virtual domain manager uses the information to perform root cause and impact analysis across domains. Information from the analysis may be fed back into the domains to enhance domain management.

A system and methods are provided for operating and building graphically XML processing programs, guiding the user in development of the program, preventing and detecting development errors as the program is being designed, ensuring that the program is valid, i.e. satisfies required input and output constraints at all times, i.e. from the time it is developed to when it is deployed in a production environment, ensuring the automated change management if the internal logic of the Web service, or data sources called by the service or the schema that underlies the Web service are modified. The system includes a graphical XML Programming system where XML processing programs are built and represented in a graphical fashion, a real-time metadata computation and visualization method for each selected execution point in the visual program that provides guided programming, error prevention and detection, and change impact analysis and change management, and, an automated execution path exploration method that enables overall program validation and error identification. The system and methods allow a user to reduce by at least a factor of 2 the costs of development and maintenance of reliable XML processing programs such as Web Services.

A system and associated method for asynchronous code testing in an Integrated Development Environment (IDE). The IDE has components of a source code editor, an impact analyzer, a test case launcher, a graphical user interface (GUI), and a database. All components run concurrently for asynchronous and real-time code editing. Upon modification of a code block of an input code, a test case is automatically generated and a launching priority is calculated based on the relationship between the modified code block and each code block affected by the modification. Generated test cases are automatically run by the test case launcher or manually selected by the user to produce a test run result.

Computer method and apparatus for managing traceability of a software program are disclosed. Given a subject software program, the invention method/apparatus provides a respective history log for each artifact of the program. The invention method/apparatus records in the respective history log changes made to an artifact of the subject software program. During a change being made to the artifact, a processor routine determines from the respective history log related artifacts. An indication of the determined related artifacts is displayed to a user as impact analysis results.

A method for risk analysis using information asset modeling. The method has the steps of: (a) identifying an information asset which uses or provides a network service; (b) identifying a threat on the information asset through a computer network; (c) identifying a vulnerability of the information asset; (d) calculating an AL (attack likelihood) by using a CVSS (Common Vulnerability Scoring System) score obtained by converting a severity caused by a success of an attack on the vulnerability into a standardized value; (e) computing the value of the information asset so as to calculate an IM (impact analysis); and (f) multiplying the calculated AL and IM so as to determine an RL (risk level) for the information asset.

A headspace instrument (10, 70) operates to equilibrate a vapor phase of a headspace sample in a sample loop (40, 74). The sample is equilibrated by flow through the headspace between variable volume chambers (28, 50, 86, 90). The volume of the variable volume chambers are changed in coordinated relation so that a constant total volume is always maintained. An aliquot of the equilibrated sample in the sample loop is delivered to an analytical instrument. The headspace instrument enables delivering a vapor sample from a headspace under conditions which do not disturb the thermodynamic equilibrium between the vapor phase and the non-vapor phase of the sample and avoids having the sampling process impact the results of the analysis. Alternative forms of the headspace instrument enable the conduct of concentration dependent processes and absorption and desorption experiments.

The invention relates to a multi-target division prognostication method based on feature analysis and belongs to video monitoring image processing technical field. The method includes extracting background, determining motion detecting threshold, performing clustering on the motion detection and processing into rectangles, performing first matching and wave filtering, determining corner points, forming vectors, and performing second matching. With the invention, no influence on the analysis prognostication results occurs even if the target object is shielded locally; therefore problem of interference among mobile targets which cannot be solved with the prior arts is solved. By applying the invention on a video monitoring system, recognition, tracking and monitoring on adjacent targets can be realized effectively.

The invention discloses a document citation network visualization and document recommendation method and system, and relates to the fields of document influence analysis and information visualization. The method comprises the following steps of calculating the importance degree of documents according to authors, time information, citation numbers and other inherent attributes, document similarities and transfer values generated by introducing behavior quantitative analysis, and sorting the documents; then performing clustering on the sorted documents and performing visualization on the clustered result to establish a dual-layer network model, and displaying important documents in a clear manner; and finally, recommending the documents in the center of clustering displayed in the visualization manner to a user. The document citation network visualization and document recommendation method and system are high in usability and can help science researchers to rapidly screen out most authoritative papers.

Provided is a method, system, and program for performing an impact analysis of program statements in a source code file, wherein each program statement has at least one of an input parameter and output parameter. A selection is received of at least one program statement in the source code file. For each selected program statement, a determination is made of program statements in the source code file having as one input parameter one program artifact that is affected by the selected program statement.

Techniques for accurate determination of service impact are provided by provisioning network deployed probes with actual business object information related to business entities, such as VPN sites. Such probes are capable of sending a network trap (or alarm) containing actual business information in response to detecting a loss of connectivity. As a result, service impact caused by the loss of connectivity may be determined accurately by simply parsing the contents of a network trap, thus avoiding the complication and inaccuracy of conventional impact analysis.

The invention discloses a dynamic equivalence modeling method for a double-fed set wind power station based on the action condition of an pitch angle, relating to the technical field of wind power generation and solving the problem of low accuracy and difficult realization of the existing equivalence modeling method. The method comprises the following steps: firstly, acquiring the active power, generator terminal voltage and wind speed of the double-fed set before the fault of a model to be modeled in the wind power station; according to the parameter, extracting the characteristic vector reflecting the action of the pitch angle, inputting into a support vector machine classifier, and dividing the vector into three cluster; and finally equaling the three clusters into three equivalent double-fed wind power sets respectively and calculating the parameters and the equivalent cable parameter of each set, thereby obtaining a wind power station equivalent model. The modeling method has less number of the equivalent wind power sets, is convenient to use, can more accurately reflect the sychronization point dynamic characteristics of the wind power station, is applied to the dynamic equivalence modeling of the high-capacity wind power station and the impact analysis of the high-capacity wind power station to a power system, and has the important project application value.

The invention discloses comprehensive device monitoring system architecture. The comprehensive device monitoring system architecture comprises a data collection layer, a data processing layer and a data presentation layer; the data collection layer comprises a data collection engine and a data collection script and monitors the automatic generation of a configuration file; the data processing layer comprises a CMDB library data processing module, a business engine, a data collection engine monitoring configuration file transmission module, a collected transmission module of a data collection engine and a business engine and an analyzing and processing module of alarm data; the comprehensive device monitoring system architecture disclosed by the invention has a large alarm data size, thereby requiring a good alarm collection processing means to ensure the instantaneity; as the definitions of alarm fields of different industries and manufacturers are different, a large amount of works are required to trim the alarms; a flat management structure collectively processes the alarms in the industries on the basis of standardization of the alarms, thereby requiring an extract alarm association and preprocessing rule; and the incidence relation among the alarms, the IT resources and business is confirmed, and a model of alarm influence analysis is established.

The invention relates to a physics-of-failure-based MOS (metal oxide semiconductor) device reliability simulation evaluation method. The method comprises the following steps: first, acquiring related parameters of an MOS device; second, analyzing a failure mode, a mechanism and an influence; third, establishing CFD (computational fluid dynamics), FEA (finite element analysis) and failure prediction models; fourth, carrying out the simulation analysis on temperature, vibration and electrical characteristics; fifth, performing stress damage analysis; sixth, performing cumulative damage analysis; seventh, considering deviation and performing parameter randomization simulation; eighth, obtaining a time vector before a failure by utilizing a competition failure mechanism; ninth, estimating the average starting failure time of the device. According to the method, a potential failure mechanism and a corresponding failure physical model of the device are obtained by analyzing, the using stress of the device is determined by simulating and analyzing, and finally, the average starting failure time of the MOS device under using conditions is obtained by calculating from the possible failure reasons of the MOS device on the basis of a failure physical theory. The method belongs to the technical field of MOS device reliability simulation and evaluation.

A system efficiently and proactively assesses the impact of user's actions on a network storage system. The system generally operates on a storage area network that includes a database represented by states and policies, before the user action is executed. The system comprises a storage monitor that captures a snapshot of the database states. An impact analysis module of the system then applies a user action to the snapshot; and further selectively applies at least some of the policies to the snapshot. The impact analysis module simulates the user action on the snapshot without applying actually changes to the database, and further analyzes whether the simulated user action violates at least one applied policy. The system takes the appropriate action based on the result of the analysis.

The invention discloses a hierarchical cluster aviation pump multiple fault diagnostic method based on frequency multiplication relative energy sum. In the method, firstly fault mode effect influence analysis technology is used for carrying out sensor optimal distribution on an aviation hydraulic pump and acquiring sensor signal; then common faults of the aviation hydraulic pump are classified by hierarchical cluster to determine the sequence and hierarchy of fault diagnosis; and finally fault diagnosis of a first diagnosis layer, a second diagnosis layer and a third diagnosis layer is carried out to complete the multiple fault diagnosis on the aviation pump. The method realizes the multiple fault diagnosis of the aviation pump with high accuracy; a extraction method of fault feature and frequency doubling relative energy sum is designed aiming that typical gradual fault of the aviation hydraulic pump is extremely weak at fault initial signature, the method can effectively realize the fault feature extraction of weak signal, and the method is proved to be accurate and efficient by plenty of experiments.

The invention discloses a data origin collection method of relational databases. The method comprises following steps: defining a data original model based on SQL data flow origin semantics; analyzing SQL sentences to generate an abstract syntax tree; browsing the abstract syntax tree to extract source lists, target lists and logic operators; and making structural descriptions of source lists, target lists and logic operator based on the data origin model to generate origin information metadata. The data origin collection method of relational databases has following beneficial effects: data-processing logic in SOL scripts can be described by data conversion graphs and attribute mapping graphs such that a data origin analysis function and a field affecting and analyzing function can be provided for a relation database system; data scripts can be analyzed; and the relationship between data tracing and analysis of data can be achieved based on analysis information.