Abstract: An RF pulse correlator comprising a track database, an antenna, a receiver, and a processor. The track database is configured to store established tracks of RF emissions. The antenna and receiver are configured to receive RF pulses. The tracker is configured to generate improved geolocation data for every received RF pulse based on kinematics of the received RF pulses. The processor is communicatively coupled to the database, the receiver, and the tracker. The processor is configured to associate each received RF pulse with an existing track in the track database or to create a new track.

Abstract: Exemplary embodiments provide computer-implemented methods, mediums, and apparatuses configured to perform targeted isotope clustering. A mass spectrum for a sample may be obtained from an analytical laboratory instrument, and a set of peaks within the mass spectrum may be identified. A list of fragments expected to be potentially present in the sample may be obtained, and a set of predicted peaks may be generated from the list. The spectrum may be searched for the predicted peaks to determine if any combination of the peaks present in the spectrum match the expected fragment patterns. Accordingly, isotope (charge) clusters may be built in a targeted way using a priori knowledge to target the matches. As a result, spectrum analysis can be done more quickly and efficiently than in conventional systems that use neutral or untargeted matching, and the matches can be made more accurately.

Abstract: Exemplary embodiments described herein provide improved techniques for identifying and accounting for molecule variants when modeling a fragmentation of the molecule. The variants may be identified by comparing possible modifications of molecule fragments against experimental data to rank or score the possible modifications. Possible modifications may be shown in a variant interface where a modification may be selected as a candidate for comparison to experimental data.

Abstract: Exemplary embodiments described herein provide improved techniques for matching an experimental mass spectrometry fragmentation against a known or predicted fragmentation from a library. Among other improvements, exemplary embodiments provide more accessible interfaces that are easier to interpret, thus allowing for more accurate and faster matches. They also may automatically accumulate multiple experimental results to determine whether several runs of a given sample cumulatively represent a library fragmentation pattern. Furthermore, exemplary embodiments provide simplified techniques for identifying and accounting for molecule variants.

Abstract: In a computer-implemented method of data collection in a computing environment, the method including, operational data is captured within a computing environment, wherein the computing environment includes a plurality of managed components, wherein the managed components are interrelated. The operational data is dynamically filtered within the computing environment to identify event data and managed component relationship data, wherein the event data and managed component relationship data include temporal information. The event data and managed component relationship data is communicated to a remote service provider configured to perform analytics on the event data and managed component relationship data.

Abstract: The current document is directed to methods and systems for frequency-domain analysis of operational and performance metric values and other data generated and collected within computer systems, including large distributed computer systems and virtualized data centers. In one implementation, each set of time-ordered values for each metric in a set of metrics is partitioned into time intervals, transformed from the time domain to the frequency domain, and aligned to generate a metric surface in a frequency-time-amplitude space. The metric surfaces are then pairwise compared to identify related metrics. Transfer functions are generated for transforming metric surfaces into one another. The comparison values and transfer functions are used to produce graphs that encapsulate discovered relationships between metrics.

Abstract: In a computer-implemented method for generating a temporal topology graph of a computing environment, managed component relationship data is received for a plurality of managed components of a computing environment, the managed component relationship data including parent/child information for a managed component of the plurality of managed components at a moment in time. The managed component relationship data is transformed into graphical data of a temporal topology graph of the computing environment, wherein the temporal topology graph includes the moment in time for each instance of the managed component relationship data within the temporal topology graph. The temporal topology graph including the managed component relationship data is generated based at least in part on the graphical data. The temporal topology graph for the computing environment is maintained at a service provider.

Abstract: In a computer-implemented method for temporal analysis of a computing environment using event data and managed component relationship data, a temporal topology graph of a computing environment including a plurality of managed components is accessed at a service provider, wherein the temporal topology graph includes managed component relationship data, wherein the service provider is remote to the computing environment. Event data for the plurality of managed components of the computing environment is received. Anomaly detection of the computing environment is performed based on the event data and the temporal topology graph of the computing environment, where an anomaly is indicative of a non-ideal state of the computing environment.

Abstract: In a computer-implemented method of presenting a temporal topology graph of a computing environment at a graphical user interface, a temporal topology graph of a computing environment including a plurality of managed components is accessed at a service provider, wherein the temporal topology graph includes managed component relationship data for the plurality of managed components over an available time range, wherein the service provider is remote to the computing environment. A selected time of the available time range for displaying a visualization of the temporal topology graph is determined. A visualization of the temporal topology graph of the computing environment is displayed at the selected time in a graphical user interface, wherein the visualization includes a topology of the plurality of managed components and parent/child relationships interconnecting the plurality of managed components at the selected time.

Abstract: In a computer-implemented method of data collection in a computing environment, the method including, operational data is captured within a computing environment, wherein the computing environment includes a plurality of managed components, wherein the managed components are interrelated. The operational data is dynamically filtered within the computing environment to identify event data and managed component relationship data, wherein the event data and managed component relationship data include temporal information. The event data and managed component relationship data is communicated to a remote service provider configured to perform analytics on the event data and managed component relationship data.

Abstract: In a computer-implemented method for generating a temporal topology graph of a computing environment, managed component relationship data is received for a plurality of managed components of a computing environment, the managed component relationship data including parent/child information for a managed component of the plurality of managed components at a moment in time. The managed component relationship data is transformed into graphical data of a temporal topology graph of the computing environment, wherein the temporal topology graph includes the moment in time for each instance of the managed component relationship data within the temporal topology graph. The temporal topology graph including the managed component relationship data is generated based at least in part on the graphical data. The temporal topology graph for the computing environment is maintained at a service provider.

Abstract: In a computer-implemented method of presenting a temporal topology graph of a computing environment at a graphical user interface, a temporal topology graph of a computing environment including a plurality of managed components is accessed at a service provider, wherein the temporal topology graph includes managed component relationship data for the plurality of managed components over an available time range, wherein the service provider is remote to the computing environment. A selected time of the available time range for displaying a visualization of the temporal topology graph is determined. A visualization of the temporal topology graph of the computing environment is displayed at the selected time in a graphical user interface, wherein the visualization includes a topology of the plurality of managed components and parent/child relationships interconnecting the plurality of managed components at the selected time.

Abstract: In a computer-implemented method for temporal analysis of a computing environment using event data and managed component relationship data, a temporal topology graph of a computing environment including a plurality of managed components is accessed at a service provider, wherein the temporal topology graph includes managed component relationship data, wherein the service provider is remote to the computing environment. Event data for the plurality of managed components of the computing environment is received. Anomaly detection of the computing environment is performed based on the event data and the temporal topology graph of the computing environment, where an anomaly is indicative of a non-ideal state of the computing environment.

Abstract: The current document is directed to methods and systems for frequency-domain analysis of operational and performance metric values and other data generated and collected within computer systems, including large distributed computer systems and virtualized data centers. In one implementation, each set of time-ordered values for each metric in a set of metrics is partitioned into time intervals, transformed from the time domain to the frequency domain, and aligned to generate a metric surface in a frequency-time-amplitude space. The metric surfaces are then pairwise compared to identify related metrics. Transfer functions are generated for transforming metric surfaces into one another. The comparison values and transfer functions are used to produce graphs that encapsulate discovered relationships between metrics.

Abstract: A process for increasing the rate of biocatalysis reactions, which comprises applying a direct current electric field to a reaction mixture, wherein the reaction mixture and the electrodes used to apply said electric field are separated such that the reaction mixture does not come into contact with said electrodes.

Abstract: A method, a system and a server are provided for managing networks in a multiple domain environment is provided. A user request may be received via a first secure session. A domain pertaining to the user request may be automatically determined by accessing a database. A request, based on the user request, is generated and sent to a device of the determined domain.