Abstract: A method and system for detecting anomalies in waveforms in an industrial plant. During a learning stage, one or more training waveforms are received from sensors monitoring a plurality of equipment in the industrial plant. The one or more training waveforms are used to generate a representative waveform and deviations of the one or more training waveforms from the representative waveform are determined. Based on the deviations, groups are created. A model may be associated with each group for building an expected waveform pattern. When test waveforms are received, based on the electrical and physical properties of the test waveforms, each test waveform is classified into one of the groups. Thereafter, each waveform is compared with the expected waveform pattern associated with the group to which the respective test waveform belongs, to detect the anomaly.

Abstract: Embodiments disclosed herein include an RF return assembly. In an embodiment, the RF return assembly comprises a first plate with a flange, where a first hole and a second hole pass through the flange. The RF return assembly may further comprise a second plate over the first plate, and a first body positioned above the flange. In an embodiment, the RF return assembly further comprises a second body positioned below the flange, where the first body is affixed to the second body by a pillar that passes through the first hole. In an embodiment, the RF return assembly further comprises a spring attached between the second plate and the second body, where the spring passes through the second hole, and a conductive band to electrically couple the first body to the flange.

Abstract: A method and a device for controlling at least one device in a wireless communication system are provided. The method includes rendering a digital representation of a real world environment on a display unit, wherein the digital representation includes a graphical representation of the at least one device based on a status information of the at least one device; receiving a user-input indicating control information of the at least one device; and controlling one or more operations of the at least one device in the real world environment based on the control information.

Abstract: One embodiment provides a method, including: receiving a technical diagram comprising a plurality of nodes and edges, wherein each edge connects two of the plurality of nodes; extracting, from the technical diagram, entities represented within the technical diagram, wherein the entities are extracted from the nodes and edges; creating groupings of entities from the extracted entities by grouping entities into groups based upon a logical relationship between the entities within a given group; generating, from the groupings, a visual representation of the technical diagram, wherein the visual representation comprises the groupings being represented as text and arranged based upon contextual relationships between the groupings; and providing a natural language summary of the technical diagram, wherein the providing comprises converting the visual representation into natural language text.

Abstract: Systems, methods, techniques and apparatuses of short circuit protection are disclosed. One exemplary embodiment is a method for protecting a semiconductor switch comprising receiving a measurement corresponding to an electrical characteristic of the semiconductor switch; determining a semiconductor switch resistance value using the received measurement; estimating a junction temperature of the semiconductor switch using the semiconductor switch resistance value; determining a short circuit voltage threshold using the estimated junction temperature; comparing the short circuit voltage threshold to a test voltage corresponding to a drain-source voltage of the semiconductor switch; determining a short circuit condition is occurring in response to comparing the short circuit voltage threshold and the test voltage; and opening the semiconductor switch in response to determining the short circuit condition is occurring.

Abstract: A test planning device builds up a boiler model data by using a plurality of input parameters of the boiler classified into a plurality of parameter groups. The apparatus selects one of the plurality of parameter groups as a parameter group subjected to learning, presents test conditions in which an input parameter thereof is defined as a variable, and an input parameter of a parameter group not subjected to learning is defined as a fixed value. The device modifies the model data on the basis of the result of comparison between an actual process value and a virtual process value using the present test conditions, selects a new parameter groups subjected to learning, and presents new test conditions which use the input parameter of the test conditions in which the input parameter of the previous parameter group subjected to learning is optimal, as the fixed value.

Abstract: An information management system according certain aspects for archiving file system content may include a third-party application archiving data agent configured to: access third-party application archiving rules for archiving data to one or more secondary storage devices, wherein the third-party application archiving rules are defined by a third-party application to archive files associated with the third-party application; access third-party metadata associated with a plurality of files in a file system, wherein the plurality of files is associated with the third-party application and the third-party metadata is defined by the third-party application; determine whether to archive one or more files of the plurality of files based at least in part on the third-party application archiving rules and the third-party metadata; and in response to determining that a first file of the plurality of files should be archived, archive the first file to the one or more secondary storage devices.

Abstract: A system for configuring an Electric Vehicle (EV) charging infrastructure, the apparatus comprising. The system receives user direction and inputs regarding a custom EV charging infrastructure, submits the data an optimal planning module which is configured for performing optimization based on objectives in view of a set of constraints; and generates a recommendation from the optimal planning module for a custom EV charging infrastructure based on charging needs and behavior of the consumers toward deferring upgrades in electric infrastructure without compromising energy required for electrical transportation.

Abstract: An SCR after-treatment system for a locomotive engine includes an enclosure defining an exhaust flow path from an inlet to an outlet, the inlet being flexibly connected to an exhaust outlet of the engine, an injector located in the inlet and configured to provide an aerosolized reductant into the exhaust flow path, a mixing tube extending from the inlet into the enclosure towards a back wall of the enclosure; a plurality of catalyst cells extending parallel to the mixing tube; the exhaust flow path traveling through the plurality of catalyst cells between the mixing tube and the outlet, and a side channel located between the mixing tube and the plurality of catalyst cells. The enclosure is configured to create low back pressure and an even distribution of the exhaust flow path across the plurality of catalyst cells.

Abstract: Motion activity data is collected from at least one sensor. An initial motion activity classifier function is applied to the motion activity data to produce an initial motion activity posteriorgram. Pre-processing and segmenting the motion activity data into windows produces segmented motion activity data from which sensor specific features are extracted. An updated motion activity classifier function is generated from the extracted sensor specific features. Subsequent motion activity data is also collected from the at least one sensor, and the updated motion activity classifier function is applied to the subsequent motion activity data to produce an updated motion activity posteriorgram.

Abstract: A method used in forming a memory array comprising strings of memory cells comprises forming a stack comprising vertically-alternating first tiers and second tiers comprising memory-block regions having channel-material strings therein. Conductor-material contacts are directly against the channel material of individual of the channel-material strings. First insulator material is formed directly above the conductor-material contacts. The first insulator material comprises at least one of (a) and (b), where (a): silicon, nitrogen, and one or more of carbon, oxygen, boron, and phosphorus, and (b): silicon carbide. Second insulator material is formed directly above the first insulator material and the conductor-material contacts. The second insulator material is devoid of each of the (a) and (b). Third insulator material is formed directly above the second insulator material, the first insulator material, and the conductor-material contacts. The third insulator material comprises at least one of the (a) and (b).

Abstract: The present invention is in the field of treating and/or preventing viral infections. In particular, the present invention relates to immunogenic or pharmaceutical compositions comprising self-replicating RNA molecules that encode influenza virus antigens for treating and/or preventing influenza infections.

Abstract: A method and system monitors activity of a user of a data management system and detects a trigger event in the activity of the user. The method and system generates a support case responsive to the trigger event. The support case includes support rules defining what types of the user's personal data will be accessible to an assistance agent when the user requests assistance related to the trigger event. The method and system utilizes machine learning processes to determine what types of user related data should be accessible to assistance agents in support cases.

Abstract: A method may include receiving, from a client, a query dictated by a user. The query may request to retrieve, from a database, data stored in the database. A structure determination may be performed by identifying one of a plurality of ground truth query strings having a minimum edit distance relative to a transcription of the dictated query. Each the plurality of ground truth query strings may be consistent with at least a syntax of a query language associated with the dictated query. A rendered query string is generated by performing a literal determination that includes by comparing a literal token in the identified ground truth query string to one or more literal tokens present in the database. The rendered query string may be executed to retrieve, from the database, data requested by the dictated query string. Related methods and computer program products are also provided.

Abstract: An experimentation platform controls testing of features by an application server. Based on a user identifier, the experimentation platform determines which feature should be provided, and the application server provides the corresponding version of a user interface. If the user behavior data shows that using a tested feature results in an improvement, the tested feature will be adopted. To determine whether or not an improvement is observed, a statistically significant amount of data is gathered. The experimentation platform gathers data regarding user behavior for the feature versions and, in response, adjusts the frequency at which each version is served. Providing the proposed version to an increased percentage of users decreases the total number of page serves required to gather statistically significant data. The experimentation platform may provide an updated projected time to completion of testing based on the changed percentage of users receiving the proposed version.

Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.

Abstract: A method of determining a return option for a customer of a retail enterprise. The method includes receiving a request to return a previously-ordered inventory item. The request includes item attributes including an item description and an item cost of the previously-ordered inventory item. Customer attributes are received, which include a customer profile, historical sales order metrics, and historical return metrics from a customer attribute database. A risk score for the customer is determined. The risk score is based, at least in part, on the customer attributes and one or more rules assessed by a customer risk assessment tool of the retail enterprise. Based on the risk score and the item attributes, at least one return processing option for the customer is automatically determined. The at least one return processing option is presented to the customer for selection.

Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.

Abstract: A charging pad includes a power drive unit and a transmitting unit. The power drive unit includes a first oscillator to generate a first AC voltage signal having a first frequency, and a first amplifier to amplify the first AC voltage signal. Also, the power drive unit includes a second oscillator to generate a second AC voltage signal having a second frequency, and a second amplifier to amplify the second AC voltage signal. Additionally, the power drive unit includes an adder to combine the amplified first AC voltage signal and the amplified second AC voltage signal. Furthermore, the transmitting unit includes a first frequency coil configured to transmit the amplified first AC voltage signal having the first frequency, and a second frequency coil configured to transmit the amplified second AC voltage signal having the second frequency.

Abstract: There are described ROR? modulators of the formula (I), or stereoisomers, tautomers, pharmaceutically acceptable salts, solvates, or prodrugs thereof, wherein all substituents are defined herein. Also provided are pharmaceutical compositions comprising the same. Such compounds and compositions are useful in methods for modulating ROR? activity in a cell and methods for treating a subject suffering from a disease or disorder in which the subject would therapeutically benefit from modulation of ROR? activity, for example, autoimmune and/or inflammatory disorders.