Abstract: An example method includes initiating training of an hierarchical clustering algorithm using training data. The method further includes determining a first factor, the first factor being a number of analyzed nodes compared to a number of discovered nodes. The method further includes determining a second factor, the second factor being a first time elapsed compared to a first typical training duration for environments with a data set size substantially similar to a data set size of the training data. The method further includes determining a third factor, the third factor being a second time elapsed compared to a second typical training duration for environments with a data having a uniformity substantially similar to a uniformity of the training data. The method further includes estimating a progress of the training of the hierarchical clustering algorithm based at least in part on the first factor, the second factor, and the third factor.

Abstract: An optical distance measurement or ranging apparatus, the apparatus including at least one optical pulse generator for generating a train of gating pulses and a train of probe pulses, the train of gating pulses having a different repetition rate than the train of probe pulses. The gating and probe pulses may be ultrashort laser pulses generated by different free-running, mode-locked lasers. An optical probing arrangement for directing the train of probe pulses to one or more objects and for collecting returned probe pulses returned from the one or more objects. The objects may include a target object and a reference object. The apparatus includes a multi-photon effect detector and is configured to direct both the train of gating pulses and the returned probe pulses to the multi-photon effect detector. The apparatus may be used for industrial inspection, machine calibration, position measurement or the like.

Abstract: Managing client access token requests is provided. It is determined whether a current time interval between a last allowed access token request matches a regular access token request interval for a client. In response to determining that the current time interval does match the regular access token request interval for the client, a current access token request is allowed. An access token is generated for the client to access a protected resource hosted by a resource server based on allowing the current access token request. The access token is issued to the client via a network.

Abstract: Methods and systems are provided for a platform and language agnostic method for generating inter-and intra-data type aggregations of heterogeneous disparate data upon which various operations can be performed without altering the structure of the query or resulting distributed data set representation to account for which specific data sources are included in the query.

Abstract: Methods and systems are provided for a platform and language agnostic method for generating inter-and intra-data type aggregations of heterogeneous disparate data upon which various operations can be performed without altering the structure of the query or resulting distributed data set representation to account for which specific data sources are included in the query.

Abstract: A processor may receive a packet configured to travel in a network. The packet may be configured to travel from a first device to a second device. The processor may analyze the packet. The processor may detect a password with the packet. The processor may determine whether the detected password complies with at least one password policy. The processor may provide a password policy compliance output to a user. The password policy compliance output may indicate to the user whether the detected password complies with the at least one password policy.

Abstract: Managing client access token requests is provided. It is determined whether a current time interval between a last allowed access token request matches a regular access token request interval for a client. In response to determining that the current time interval does match the regular access token request interval for the client, a current access token request is allowed. An access token is generated for the client to access a protected resource hosted by a resource server based on allowing the current access token request. The access token is issued to the client via a network.

Abstract: Methods and systems are provided for viewing multi-modal data in three dimensions. In one example, a method for visualizing and manipulating multi-modal features of a plurality of data objects includes accessing a plurality of datasets associated with a subject of interest, where data in the plurality of datasets changes in real-time; displaying a hub object representing the subject of interest; dynamically displaying a plurality of axis objects associated with the subject of interest, each comprising a representation of a summary metric of a respective dataset of the plurality of datasets and each displayed proximate the hub object, including adjusting a length and/or intensity of one or more of the plurality of axis objects as the data change; and in response to selection of a first axis object, displaying a first track object including a plurality of representations of data points within a first dataset of the plurality of datasets.

Abstract: A technique to identify and distinguish flow sessions begins by capturing a flow record indicating an initiation of a network flow. A unique session identifier associated with the captured flow record is computed by applying a given function over data comprising a set of information (e.g., a tuple) captured in the flow record, together with a time value associated with collection interval having a start time. The given function may be a hash function. The unique session identifier is associated with one or more additional network flows captured during the collection interval, e.g., from another network flow device that computes the same identifier for at least a second flow record captured during the collection interval. In one embodiment, the flow records are captured by distinct data collectors and comprise portions of a same flow session. The distinct data collectors may utilize the same or different flow record types or protocols.

Abstract: Methods and systems are provided for a platform and language agnostic method for generating inter-and intra-data type aggregations of heterogeneous disparate data upon which various operations can be performed without altering the structure of the query or resulting distributed data set representation to account for which specific data sources are included in the query.

Abstract: Methods and systems are provided for a platform and language agnostic method for generating inter- and intra-data type aggregations of heterogenous disparate data upon which various operations can be performed without altering the structure of the query or resulting distributed data set representation to account for which specific data sources are included in the query.

Abstract: A processor may receive a packet configured to travel in a network. The packet may be configured to travel from a first device to a second device. The processor may analyze the packet. The processor may detect a password with the packet. The processor may determine whether the detected password complies with at least one password policy. The processor may provide a password policy compliance output to a user. The password policy compliance output may indicate to the user whether the detected password complies with the at least one password policy.

Abstract: A technique to identify and distinguish flow sessions begins by capturing a flow record indicating an initiation of a network flow. A unique session identifier associated with the captured flow record is computed by applying a given function over data comprising a set of information (e.g., a tuple) captured in the flow record, together with a time value associated with collection interval having a start time. The given function may be a hash function. The unique session identifier is associated with one or more additional network flows captured during the collection interval, e.g., from another network flow device that computes the same identifier for at least a second flow record captured during the collection interval. In one embodiment, the flow records are captured by distinct data collectors and comprise portions of a same flow session. The distinct data collectors may utilize the same or different flow record types or protocols.

Abstract: A method, apparatus and computer program to protect an application in an underlying multiprocessor computing system, e.g., one in which a processor has local memory available but can access memory assigned to other processors. In operation, a set of hardware characteristics for the underlying computing system are extracted. These characteristics preferably comprise processing power, available memory, and a topology. For each hardware characteristic, an operating limit for that characteristic is determined based at least in part on a baseline value that is determined for the application with respect to the hardware characteristic. Based on the operating limit determined for each hardware characteristic, a recommended limit for a system feature (e.g., network traffic) of the underlying computing system is computed. Thereafter, and during runtime execution of the application, the recommended limit is then enforced, e.g.

Abstract: A method, apparatus and computer program to protect an application in an underlying multiprocessor computing system, e.g., one in which a processor has local memory available but can access memory assigned to other processors. In operation, a set of hardware characteristics for the underlying computing system are extracted. These characteristics preferably comprise processing power, available memory, and a topology. For each hardware characteristic, an operating limit for that characteristic is determined based at least in part on a baseline value that is determined for the application with respect to the hardware characteristic. Based on the operating limit determined for each hardware characteristic, a recommended limit for a system feature (e.g., network traffic) of the underlying computing system is computed. Thereafter, and during runtime execution of the application, the recommended limit is then enforced, e.g.

Abstract: Methods and systems are provided for a platform and language agnostic method for generating inter-and intra-data type aggregations of heterogenous disparate data upon which various operations can be performed without altering the structure of the query or resulting distributed data set representation to account for which specific data sources are included in the query.

Abstract: A method for analyzing automatic line insulation testing (ALIT) data comprising inserting ALIT error data into an ALIT database that includes records for exceptions located in the error data. A number of exceptions occurring on a selected summary date is calculated in response to receiving a summary request from a user including the selected summary date. Input to the calculating is the selected summary date and the ALIT database. The number of exceptions occurring on the summary date is transmitted to the user in response to the calculating. The user records located in the ALIT database that include a selected detail date are transmitted to the user in response to receiving from the user a request including the selected detail date. The ALIT database is updated with repair package information in response to receiving an add repair package request.

Abstract: A method for analyzing automatic line insulation testing (ALIT) data comprising inserting ALIT error data into an ALIT database that includes records for exceptions located in the error data. A number of exceptions occurring on a selected summary date is calculated in response to receiving a summary request from a user including the selected summary date. Input to the calculating is the selected summary date and the ALIT database. The number of exceptions occurring on the summary date is transmitted to the user in response to the calculating. The user records located in the ALIT database that include a selected detail date are transmitted to the user in response to receiving from the user a request including the selected detail date. The ALIT database is updated with repair package information in response to receiving an add repair package request.

Abstract: A method for analyzing automatic line insulation testing (ALIT) data comprising receiving an electronic version of ALIT test results and parsing the ALIT test results to extract error data. The error data is inserted into an ALIT database. A number of exceptions per wire center occurring on a selected summary date is calculated in response to receiving a summary request from a user, and the summary date is transmitted to the user in response to the calculating. User records located in the ALIT database that include a selected wire center and a selected detail date are transmitted to the user in response to receiving from the user a wire center detail request. The ALIT database is updated with repair package information in response to receiving an add repair package request.

Abstract: A method of providing documentation from a source of telecommunications documentation. The method includes receiving a list of telecommunications work items and creating a report based on the list of work items, wherein the report includes a link to a source of telecommunications documentation associated with a work item on the list. The method also includes providing the report to a user and retrieving the documentation from the source of telecommunications documentation when the user selects the link.