Abstract: A method for limiting fitting distortion when welding a fitting to an in-service pipeline—where the fitting includes a thick, longitudinally extending, seam located between fitting halves—involves welding, on each side of the fitting, a middle third section of the seam in a pyramid-like fashion using an inward progression starting from an end of the middle third section along a profile of a seam bevel, and welding outer third sections of the seam using an outward progression from an end adjacent to the middle third section along a profile of the seam bevel. The welding of each of the three sections per side includes a temper bead welding technique of at least two layers to provide stress relief in lieu of traditional post weld heat treatment.

Abstract: The system receives a stream of authentication events, which are associated with authentication events. Next, the system attempts to detect a formation of authentication events, wherein a formation comprises a time window of authentication events that satisfy a formation criterion, which is based on one or more of: a username for the authentication attempt, an Internet Protocol (IP) address from which the authentication attempt originated, and a resource identifier for a computing resource that the authentication attempt was directed to. If a formation is detected, the system determines a number of valid usernames in the formation. If the number of valid usernames is one or less, the system computes a username similarity score for authentication events in the formation, which is a function of a string distance between usernames in the formation. If the username similarity score exceeds a threshold value, the system reports a potential username guessing attack.

Abstract: Systems, methods, and other embodiments associated with multi-distance clustering are described. In one embodiment, a method includes reading a multi-distance similarity matrix S that records pair-wise multi-distance similarities between respective pairs of data points in a data set. Each pair-wise similarity is based on distances between a pair of data points calculated using K different distance functions, where K is greater than one. The method includes clustering the data points in the data set into n clusters based on the similarity matrix S. The number of clusters n is not determined prior to the clustering.

Abstract: During operation, the system obtains a training dataset during a training mode, wherein the training dataset includes counts of actions performed by users while operating applications in the computer system. Next, the system uses the training dataset to produce corresponding per-action datasets. The system then cleanses the training dataset based on counts of actions in the per-action datasets to produce a cleansed training dataset, and uses the cleansed training dataset to produce corresponding per-user datasets. Next, the system trains per-user models based on the per-user datasets to detect anomalous actions of users. The system then obtains a surveillance dataset during a surveillance mode, wherein the surveillance dataset includes counts of actions performed by users while operating applications in the computer system. Next, the system uses the trained per-user models to detect anomalous actions in the surveillance dataset. Finally, when an anomalous action is detected, the system triggers an alert.

Abstract: Apparatus comprising a first image projecting device for projecting a first image, an optical arrangement located optically downstream of the first image projecting device such that the first image appears to a viewer, to be located on an opposite side of the optical arrangement to said first image projecting device, forwardly of the apparatus at a first image plane, the apparatus further comprising a secondary image and an at least partially transparent screen or surface, the second screen or surface positioned on the same side of the optical arrangement as the viewer and is for displaying the secondary image on the screen which appears to the viewer to be located behind the first image plane.

Abstract: Disclosed are compounds having enhanced potency in the modulation of NMDA receptor activity. Such compounds are contemplated for use in the treatment of diseases and disorder such as learning, cognitive activities, and analgesia, particularly in alleviating and/or reducing neuropathic pain. Orally available formulations and other pharmaceutically acceptable delivery forms of the compounds, including intravenous formulations, are also disclosed.

Abstract: An image projection apparatus comprising a frame structure having first and second opposing panels (6, 8) and a further panel (26) extending between the opposing panels (6, 8) and defining an opening, the frame structure supporting at least one image projection device (10, 12) mounted to the frame structure and arranged for front-projection of an image onto a gauze scrim ((14) covering the opening, and one or more reflective surfaces ((22, 24) mounted to the opposing panels (6, 8) of the frame structure and extending rearwardly. Also disclosed is a system (40) and method of presenting live entertainment comprising projecting a computer-generated image onto a surface (46), electronically driving in real time the projected image and controlling the projected image by way of an operator (52) hidden from one or more viewers (54) of the projected image, the operator (52) able to produce a reaction from the projected image in relation to an action of the one or more viewers (54).

Abstract: The system obtains a multimodal dataset containing different types of data gathered during operation of the computer system, wherein the multimodal dataset includes time-series data for different variables associated with operation of the computer system. Next, the system forms a set of feature groups from the multimodal dataset, wherein each feature group comprises variables from the multimodal dataset containing the same type of data. The system then computes a tripoint similarity matrix for each feature group, and aggregates the tripoint similarity matrices for the feature groups to produce a crossmodal tripoint similarity matrix. Next, the system uses the crossmodal tripoint similarity matrix to cluster the multimodal dataset to form a model. The system then performs prognostic-surveillance operations on real-time multimodal data received from the computer system, wherein the prognostic-surveillance operations use the model as a classifier to detect anomalies.

Abstract: The disclosed embodiments provide a system that detects an anomaly in a computer system based on log messages. During operation, the system receives log messages generated by the computer system during operation of the computer system. Next, the system maps each received log message to a cluster in a set of clusters of log messages, wherein each cluster is associated with a specific event. The system then forms events for consecutive log messages into sequences of events. Finally, the system performs anomaly detection based on the sequences of events, wherein if an anomaly is detected, the system triggers an alert.

Abstract: Embodiments allow different viewers of a shared display to see different images. Images may have different combinations of polarization and time slices that correspond to filters in glasses worn by the viewers. The images viewed by each of the glasses may be based on the tracked position and orientation of the glasses, so that the images correspond to the user's viewpoint. Different images may be presented to left and right eyes for 3D stereoscopic viewing. The lenses of the glasses may have a filter that selects light of a specific polarization combined with a shutter that passes images during a specific time slice. The polarization filter may select circularly polarized images of a desired orientation and emit linearly polarized images. The shutter may use liquid crystals to twist the linearly polarized images during the desired time slice so that a final linear polarizer passes the image to the viewer.

Abstract: The system receives a stream of authentication events, which are associated with authentication events. Next, the system attempts to detect a formation of authentication events, wherein a formation comprises a time window of authentication events that satisfy a formation criterion, which is based on one or more of: a username for the authentication attempt, an Internet Protocol (IP) address from which the authentication attempt originated, and a resource identifier for a computing resource that the authentication attempt was directed to. If a formation is detected, the system determines a number of valid usernames in the formation. If the number of valid usernames is one or less, the system computes a username similarity score for authentication events in the formation, which is a function of a string distance between usernames in the formation. If the username similarity score exceeds a threshold value, the system reports a potential username guessing attack.

Abstract: The disclosed embodiments provide a system that detects an anomaly in a computer system based on log messages. During operation, the system receives log messages generated by the computer system during operation of the computer system. Next, the system maps each received log message to a cluster in a set of clusters of log messages, wherein each cluster is associated with a specific event. The system then forms events for consecutive log messages into sequences of events. Finally, the system performs anomaly detection based on the sequences of events, wherein if an anomaly is detected, the system triggers an alert.

Abstract: A stereoscopic display method or system includes an image display panel, object tracking sensors, and a means to create first or left, and second or right stereoscopic images based upon viewpoint location. This allows the user to perceive the viewed 3D stereoscopic image as approximately fixed in space. A first embodiment employs differently filtered colored, stereoscopic images. The first and second differently filtered colored images may be perceived as a 3D stereoscopic image by applying anaglyph glasses. In a second embodiment the method of passively polarized glasses may be applied with the result being a stereoscopic image whose location is approximately fixed in space. A third embodiment employs passively polarized anaglyph glasses. This provides the advantage of allowing two different viewers to see different virtual 3D stereoscopic images whose location remains approximately fixed in space.

Abstract: The disclosed embodiments relate to a system for performing prognostic surveillance operations on sensor data. During operation, the system obtains a group of signals from sensors in a monitored system during operation of the monitored system. Next, if possible, the system performs a clustering operation, which divides the group of signals into groups of correlated signals. Then, for one or more groups of signals that exceed a specified size, the system randomly partitions the groups of signals into smaller groups of signals. Next, for each group of signals, the system trains an inferential model for a prognostic pattern-recognition system based on signals in the group of signals. Then, for each group of signals, the system uses a prognostic pattern-recognition system in a surveillance mode and the inferential model to detect incipient anomalies that arise during execution of the monitored system.

Abstract: The disclosed embodiments relate to a system that compactly stores time-series sensor signals. During operation, the system receives original time-series signals comprising sequences of observations obtained from sensors in a monitored system. Next, the system formulizes the original time-series sensor signals to produce a set of equations, which can be used to generate synthetic time-series signals having the same correlation structure and the same stochastic properties as the original time-series signals. Finally, the system stores the formulized time-series sensor signals in place of the original time-series sensor signals.

Abstract: The disclosed embodiments relate to a system that facilitates development of machine-learning techniques to perform prognostic-surveillance operations on time-series data from a monitored system, such as a power plant and associated power-distribution system. During operation, the system receives original time-series signals comprising sequences of observations obtained from sensors in the monitored system. Next, the system decomposes the original time-series signals into deterministic and stochastic components. The system then uses the deterministic and stochastic components to produce synthetic time-series signals, which are statistically indistinguishable from the original time-series signals. Finally, the system enables a developer to use the synthetic time-series signals to develop machine-learning (ML) techniques to perform prognostic-surveillance operations on subsequently received time-series signals from the monitored system.

Abstract: The disclosed embodiments relate to a system for performing prognostic surveillance operations on sensor data. During operation, the system obtains a group of signals from sensors in a monitored system during operation of the monitored system. Next, if possible, the system performs a clustering operation, which divides the group of signals into groups of correlated signals. Then, for one or more groups of signals that exceed a specified size, the system randomly partitions the groups of signals into smaller groups of signals. Next, for each group of signals, the system trains an inferential model for a prognostic pattern-recognition system based on signals in the group of signals. Then, for each group of signals, the system uses a prognostic pattern-recognition system in a surveillance mode and the inferential model to detect incipient anomalies that arise during execution of the monitored system.

Abstract: Disclosed are compounds having enhanced potency in the modulation of NMDA receptor activity. Such compounds are contemplated for use in the treatment of diseases and disorder such as learning, cognitive activities, and analgesia, particularly in alleviating and/or reducing neuropathic pain. Orally available formulations and other pharmaceutically acceptable delivery forms of the compounds, including intravenous formulations, are also disclosed.

Abstract: Systems, methods, and other embodiments associated with multi-distance tri-point arbitration are described. In one embodiment, a method includes using a K different distance functions, calculating K per-distance tri-point arbitration similarities between a pair of data points with respect to an arbiter point. A multi-distance tri-point arbitration similarity S between the data points is calculated by determining that the data points are similar when a dominating number of the K per-distance tri-point arbitration similarities indicate that the data points are similar; and determining that the data points are dissimilar when a dominating number of the K per-distance tri-point arbitration similarities indicate that the data points are dissimilar. The multi-distance tri-point arbitration similarity is associated with the data points for use in future processing.