Abstract: Various embodiments of apparatuses and methods for a continuous scanning engine with automatic protocol detection are described. In some embodiments, the continuous scanning engine comprises one or more discovery components and one or more protocol detection components. The discovery components, in some embodiments, send initial packets to a plurality of ports of a plurality of network addresses of a network, receive responses to a least some of the initial packets, asynchronously match the received responses to the sent initial packets, and determine that some ports at some network addresses require further analysis.

Abstract: The functional reliability of a cable shield system for a high voltage cable circuit is determined by electrically isolating a segment of the conductive shield from ground along the circuit length and supplying a test voltage of gradually increasing amplitude to the isolated shield segment. Current flows in the shield segment and a connected shield voltage limiter (SVL) in response to the supplied test voltage. The current through the SVL is monitored; and the operational integrity of the shield system is determined as a function of the voltage across and the monitored current through the SVL. Current flow is monitored by sensing the heat dissipated by the SVL included in the link box to which the shield segment is connected. Information representing the voltage across and monitored current through the SVL are transmitted to a remote location whereat the operational integrity of the SVL is determined.

Abstract: Scalar-longitudinal waves of a particular type are disclosed here which have the ability to slow down clock-measured time flow as well as the rate of all physical processes in a manner similar to the phenomenon of relativistic time dilation, but where said slowing occurs in a stationary frame of reference. An apparatus consisting of a high-voltage DC power supply whose high-voltage output is discharged through a thyratron to a dome electrode to produce a repeating series of scalar-longitudinal DC shock waves of short rise-time and arranged to pass through a target object or person for the purpose of slowing down the rate of flow of time for said target object or person.

Abstract: A remote monitoring system for monitoring parameters of an underground asset, such as an electric cable system, a pipeline serving as a conduit for water, gas, oil, sewage, or the like. Parameter detectors, such as sensors that measure temperature, voltage, current, moisture, etc., are distributed along the asset to provide electrical signals that represent respective monitored parameters of the asset. An underground hub disposed in an underground vault, or manhole, through which the asset passes is coupled to the parameter detectors to acquire the signals provided by the parameter detectors. The hub includes a controller to provide data derived from the acquired signals, the data being transmitted to a remote central location by a transceiver, or modem, via LP-WAN communication. Signals from the transceiver are transmitted directly from underground.

Abstract: A method for creating predictive damage models includes receiving a first predictive damage model, identifying latent space between a first and a second domain asset, building a regression model from first domain asset projected source data, creating target dependent variables of a second model, applying classification or regression techniques to determine a function expressing the dependent variables, determining data points from the function to develop a second regression model, applying the second regression model to data points to predict target dependent variables, evaluating the second predictive damage model using the predicted target dependent variables, performing a sensitivity study to determine a directionality parameter of the second predictive damage model, and if the results are within an acceptable predetermined range, providing maintenance or servicing recommendations generated by the second predictive model to a user platform display, else repeating the process by rebuilding the regression mo

Abstract: A method and system for providing personalized search results is disclosed. A computer receives input from a user to navigate to a web site (either directly or as a result of choosing a result from a search result page). The computer navigates to the web site and stores information about the web site in a file. The computer determines web sites associated with a search query of the user as the search query is being entered into a search area of a user interface. The associated web sites are sites that have been previously navigated to by the user. The determining step includes obtaining the web sites associated with the search query from a data structure previously generated from the file. The data structure includes parsed entries of URLs associated with the previously navigated web sites. Based on the determining step, web site links corresponding to the associated web sites are displayed as the search query is being entered.

Abstract: A method for creating predictive damage models includes receiving a first predictive damage model, identifying latent space between a first and a second domain asset, building a regression model from first domain asset projected source data, create target dependent variables of a second model, applying classification or regression techniques to determine a function expressing the dependent variables, determining data points from the function to develop a second regression model, applying the second regression model to data points to predict target dependent variables, evaluating the second predictive damage model using the predicted target dependent variables, performing a sensitivity study to determine a directionality parameter of the second predictive damage model, and if the results are within an acceptable predetermined range, providing maintenance or servicing recommendations generated by the second predictive model to a user platform display, else repeating the process by rebuilding the regression mode

Abstract: A method for automatic revision of a predictive damage model that assess a physical system and provides maintenance recommendations to a user platform includes evaluating the predictive model at periodic intervals, identifying alternate parameters for the model that satisfy real-world physical constraints, determining an impact of the alternate parameters on an accuracy of the predictive model, forecasting performance of a predictive model modified with the alternate parameters, optimizing data driven terms of the predictive model by deploying the alternate parameters, and providing updated maintenance recommendations to a user platform display based on the modified predictive model. The method can also include comparing the one or more maintenance recommendations to actual maintenance experiences on the physical system, and also performing a heuristic parameter search for the data-driven terms.

Abstract: Techniques are described for generating earth sub-surface thermal characteristics over an area include collecting real-time weather data and earth data for a plurality of locations associated with an underground electrical cable and calculating earth thermal properties at the plurality of locations based on the real-time weather data and the measured earth data by an iterative process. The calculated earth thermal properties at two or more of the plurality of locations are interpolated to determine interpolated earth thermal properties at another location associated with the underground electrical cable and a wide-area thermal property map created from at least some of the calculated earth thermal properties and the interpolated earth thermal properties.

Abstract: A method and system for providing personalized search results is disclosed. A computer receives input from a user to navigate to a web site (either directly or as a result of choosing a result from a search result page). The computer navigates to the web site and stores information about the web site in a file. The computer determines web sites associated with a search query of the user as the search query is being entered into a search area of a user interface. The associated web sites are sites that have been previously navigated to by the user. The determining step includes obtaining the web sites associated with the search query from a data structure previously generated from the file. The data structure includes parsed entries of URLs associated with the previously navigated web sites. Based on the determining step, web site links corresponding to the associated web sites are displayed as the search query is being entered.

Abstract: A method and system for providing personalized search results is disclosed. A computer receives input from a user to navigate to a web site (either directly or as a result of choosing a result from a search result page). The computer navigates to the web site and stores information about the web site in a file. The computer determines web sites associated with a search query of the user as the search query is being entered into a search area of a user interface. The associated web sites are sites that have been previously navigated to by the user. The determining step includes obtaining the web sites associated with the search query from a data structure previously generated from the file. The data structure includes parsed entries of URLs associated with the previously navigated web sites. Based on the determining step, web site links corresponding to the associated web sites are displayed as the search query is being entered.

Abstract: The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer.

Abstract: The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer.

Abstract: The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer.

Abstract: The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer.

Abstract: Techniques are described for generating earth sub-surface thermal characteristics over an area include collecting real-time weather data and earth data for a plurality of locations associated with an underground electrical cable and calculating earth thermal properties at the plurality of locations based on the real-time weather data and the measured earth data by an iterative process. The calculated earth thermal properties at two or more of the plurality of locations are interpolated to determine interpolated earth thermal properties at another location associated with the underground electrical cable and a wide-area thermal property map created from at least some of the calculated earth thermal properties and the interpolated earth thermal properties.

Abstract: The present invention creates and stores target representations in several coordinate representations based on biologically inspired models of the human vision system. By using biologically inspired target representations a computer can be programmed for robot control without using kinematics to relate a target position in camera eyes to a target position in body or head coordinates. The robot sensors and appendages are open loop controlled to focus on the target. In addition, the invention herein teaches a scenario and method to learn the mappings between coordinate representations using existing machine learning techniques such as Locally Weighted Projection Regression.

Abstract: The present disclosure describes a fused saliency map from visual and auditory saliency maps. The saliency maps are in azimuth and elevation coordinates. The auditory saliency map is based on intensity, frequency and temporal conspicuity maps. Once the auditory saliency map is determined, the map is converted into azimuth and elevation coordinates by processing selected snippets of sound from each of four microphones arranged on a robot head to detect the location of the sound source generating the saliencies.

Abstract: A method and apparatus for controlling robots based on prioritized targets extracted from fused visual and auditory saliency maps. The fused visual and auditory saliency map may extend beyond the immediate visual range of the robot yet the methods herein allow the robot to maintain an awareness of targets outside the immediate visual range. The fused saliency map may be derived in a bottom-up or top-down approach and may be feature based or object based.

Abstract: An apparatus for monitoring and measuring the electrical, thermal and mechanical operating parameters of high voltage power conductors. A toroidal shaped housing, which can be mounted onto an energized conductor, contains all of the necessary electrical instruments to monitor the parameters associated with the conductor. Moreover, the housing includes the processing capability to analyze disturbance and fault events based on these parameters.