468 results about "Network analytics" patented technology

A method includes providing a source resonator including a first conductive loop in parallel with a first capacitive element and in series with a first adjustable element the source resonator having a source target impedance, providing a plurality of device resonators each including a conductive loop and having a device target impedance, connecting, for each of the plurality of device resonators, a resistor corresponding to the device target impedance in series with the conductive loop of each of the plurality of device resonators, connecting a network analyzer in series with the first conductive loop and adjusting at least one of the first capacitive element and the first adjustable element until a measured impedance of the source resonator is within a predetermined range of the source target impedance.

Embodiments of the invention may further provide a method for adjusting the granularity of a network analysis sample while maintaining validity. The method includes calculating states for each device in the network for a first number of predetermined equal intervals within a first sample window, selecting a second sample window that is smaller than the first sample window, selecting a second predetermined number of equal intervals for the second sample window, and determining an interval from the first number of predetermined intervals that immediately precedes an initial interval of the second predetermined number of equal intervals. The method further includes using the calculated state from the preceding interval to calculate a starting state for the initial interval, and calculating state for each device in the network for each of the second predetermined number of equal intervals.

A proactive network analysis system is a single unit for diagnosing network problems, measuring network performance, and monitoring network status in a comprehensive manner. The system is a compilation of individual tools including a distributed network packet capture data stream collector; a traffic analyzer; a performance graphing unit; a syslog recorder analyzer and archiving unit; a system availability monitor; a device configuration archiving unit; and a throughput measurement tool. The system can further provide an access list generator, an access list analyzer, a router DNS name generator and a service level agreement measurement device.

Methods and systems for proactively maintaining a telephone system local loop. One embodiment includes communicating with a communications network and acquiring information associated with pressure or flow sensors along fiber optic cables. Proactive maintenance of the fiber optic cables is predicted using the information associated with pressure or flow sensors. The embodiment may further include generating and dispatching work order information describing the predicted proactive maintenance. The embodiment may also include predicting proactive maintenance of telephone lines using information from a Dynamic Network Analyzer and using information from a Loop Facilities and Control System. Another embodiment includes a system for predicting proactive maintenance of a telephone system local loop. This embodiment includes a Pressure Alarms and Reports System Module, a database stored in memory, and a processor. The Pressure Alarms and Reports System Module communicates with a communications network and acquires at least one of i) pressure information associated with fiber optic cables and ii) flow information associated with fiber optic cables. The database stores the acquired information. The processor processes information stored in the database and generates predicted proactive maintenance.

A method, system, and apparatus are provided for creating a knowledge interchange (“KI”) profile for a user that identifies the interests of the user, the individuals with which the user has communicated, and the topics on which the communication with the user was made. In order to create the KI profile, items of interest are gathered at the client computer by monitoring the interaction between a user and programs executing on the client computer. Once the items of interest have been identified, the KI profile is created by performing a social network analysis, an interest analysis, and a noun phrase analysis. Once the KI profile has been created, it may be uploaded to a server computer where it is aggregated with KI profiles created for other users.

A system, method and computer program product are provided for network and network application monitoring. Accordingly, one or more media modules are each coupled to an associated network segment. In the case of network application monitoring, each media module is coupled to a network segment on which a network application is running. Each media module monitors and collects data relating to traffic on the associated network segment corresponding to the network application, wherein each media module is tailored for network analysis. An application server module is coupled to the at least one media module and receives the data and analyzes the data for helping to improve the performance of the network and/or network application.

A method, system, and computer program product for enabling dynamic detection of anomalies occurring within an input graph representing a social network. More specifically, the invention provides an automated computer simulation technique that implements the combination of Social Network Analysis (SNA) and statistical pattern classification for detecting abnormal social patterns or events through the expanded use of SNA Metrics. The simulation technique further updates the result sets generated, based on observed occurrences, to dynamically determine what constitutes abnormal behavior, within the overall context of observed patterns of behavior.

A test signal generator at a transmitter station and a facsimile generator at a receiver station go through an acquisition and tracking process which aligns the two signals so that a logical processor can compute the frequency transfer function of the entire propagation path for use in an adaptive, concurrently sent communication signal. The frequency transfer function is conveyed back to the transmit end via a control channel permitting an adaptivity function at the transmit end to influence subsequent selection of communication parameters, among which are typically transmitted data rate, selection of modulation, selection of forward error correcting coding, and selection of frequency band for transmission. The same measurement is conveyed to an adaptivity function at the receive end for use in the communications receiver to select demodulator variables such as gain control, and equalization of amplitude and phase, versus frequency. The adaptivity function also permits interspersing of reverse-direction communications over the same frequency bands in a time-share mode between forward-direction and reverse-direction communication with the measurement signals having to be transmitted in only one direction. An alternate embodiment invention of this type is described which is additionally useful for mobile communications channels. Another variation embodiment is described for pure propagation measurements only, absent conveyance of end-user information.

Embodiments of the invention provide a graphical user interface for a network analysis method. The method includes processing a data trace captured from the network to determine a network topology, processing the data trace to determine errors in network conversation, processing the data trace to determine at least one metric for the network conversation, and displaying an interface screen to the user, the interface screen comprising a graphical topology representation, a determined error representation, and a representation of at least one determined metric.

Embodiments of the invention provide a scalable method for analyzing a network. The method includes generating a data trace representative of the network, determining a topology for the network from the data trace, and sequentially analyzing each frame in the data trace to determine at least one of network errors, warnings, and metrics. The analysis of each frame generally includes analyzing a first protocol layer of the frame with a first expert engine, determining if a second protocol layer is present in the frame, passing the frame to a second expert engine, and passing the frame to additional expert engines if the frame contains additional protocol layers.

A method, system, device and computer program product are provided for analyzing a cellular wireless communication network of a first type. For analyzing the cellular wireless communication network of the first type, communication connection condition parameters for one cell are measured, which communication connection condition parameters are derived from signals received by a mobile station from the one cell and from a plurality of other cells. The communication connection condition parameters are transmitted to a network control element in the form of mobile measurement reports. A network analysis functionality associated with the network control element processes the mobile measurement reports and evaluates, on the basis of processing results, a potential of the one cell for a usage in a wireless communication network of a second type, and/or estimated network parameters of the wireless communication network of the second type, like network performance or network dimensioning. This is repeated in all other cells in the wireless communication network of the first type.

Methods and systems for proactively maintaining a telephone system local loop. One embodiment includes communicating with a communications network and acquiring information associated with defective line pairs. Proactive maintenance is predicted based upon the information. The information associated with defective line pairs may be weighted and combined with information from a Dynamic Network Analyzer or with information from a Loop Facilities and Control System. Work orders describing the predicted proactive maintenance may be generated and dispatched.

Methods and system for social network analysis are described. In one embodiment, user interaction data of a time period for a plurality of users in a social network may be accessed. Network analysis may be performed on the user interaction data. A necktie-shaped graph may be generated from the user interaction data in accordance with the performing of the network analysis. The necktie-shaped graph may be utilized for analysis of the social network.

A graphical user interface provides a link to network related measurements by network analysis devices, to present a test including perceptibly correlated network-related measurements by two or more of the network analysis devices through a selectable graphical display corresponding to the network analysis devices, and a selectable graphical display corresponding to at least one measurement for each selected network analysis device. The test provides a newly added measurement.

The invention relates to a criminal suspect mining association method and a system based on social network analysis and is characterized in that the method comprises the following steps: pre-processing the user input data, extracting the key information from the input data; establishing the social network graph model; setting the parameter; executing the community discovery algorithm; outputting the discovery result and listing the criminal suspects; compared with the prior art, the method and the system have the beneficial effects as follows: the potential associated criminal suspect can be found from the social circle of the given criminal suspect, the method is good in performance and fast in system operation, by considering the requirement of the real scenes, good expansibility can be achieved for analyzing in the range appointed by the user.

The present disclosure describes an apparatus and methods for performing data analysis, in particular network analysis. Specifically it provides a framework and user interface whereby raw data may be imported into a data model with entities, attributes, and relationships between the entities and multiple data analysis algorithms may be pipelined into a larger data analysis model and applied to the data model. Offline and online data visualization and data exploration techniques, may be applied to the results of the data analysis enabling real-time and near real-time interactive online analysis. Extensibility models and market transaction models are also provided.