Abstract: Engine order cancellation (EOC) systems generate feed forward noise signals based on the engine or other rotating shaft RPM and use those signals and adaptively configured W-filters to reduce the in-cabin SPL by radiating anti-noise through speakers. An EOC system may include a drive mode detector for detecting different vehicle drive modes based on an analysis of signals indicative of current vehicle operating conditions. Upon detection, the EOC system may adaptively adjust various tuning parameters for the EOC algorithm based on the current vehicle drive mode. The EOC system may also selectively target different sets of engine orders for noise cancellation according to the current vehicle drive mode based on which engine orders are dominant during that drive mode.

Abstract: A computer-implemented method includes accessing virtual private cloud flow logs of network traffic data originating from a virtual private cloud, generating filtered flow logs by filtering the virtual private cloud flow logs, extracting features based on a plurality of attributes from the filtered flow logs, training one or more machine learning models based on the features, applying the one or more machine learning models to the network traffic data to identify potential beacons, generating an alert notification that identifies the potential beacons, and communicating the alert notification to an alerting system.

Abstract: The disclosure provides for ribozyme-mediated fusion constructs and systems and methods thereof, for use in a variety of applications, including for inducible gene expression systems, gene therapy, and combinatorial screening.

Abstract: A method of monitoring a flame rod of a furnace including: detecting an average current of the flame rod during a burn cycle of the furnace; determining a burn time of the burn cycle of the furnace; and determining a remaining life of the flame rod based on at least the average current and the burn time.

Abstract: Provided is a method for suggesting a caption for an image, comprising: receiving the image; determining a plurality of impacting categories associated with a plurality of contextual keywords for the image, each of the plurality of impacting categories representing a sentiment associated with the plurality of contextual keywords; grouping the plurality of contextual keywords into a plurality of groups based on the plurality of impacting categories; determining an order associated with the plurality of contextual keywords, based on a pre-determined impacting function; generating at least one caption by processing each contextual keyword, based on the order associated with the plurality of contextual keywords; determining a priority value associated with each of the at least one caption based on information associated with the corresponding caption, a user profile, and the image; and suggesting the caption from the at least one caption based on the priority value.

Abstract: A datacenter that hosts a client instance may receive an input to perform discovery against a containerized application orchestration infrastructure that includes computing clusters associated with one or more resource providers. The datacenter retrieves cluster data associated with each computing cluster from the one or more resource providers, automatically creates respective discovery schedules for the computing clusters based on the cluster data, automatically executes the respective discovery schedules for the computing clusters, automatically retrieves respective authentication bearer tokens associated with the computing clusters, automatically performs respective discovery processes against the computing clusters using the respective authentication bearer tokens, and stores the resource data received from the computing clusters in a database.

Abstract: Disclosed is a method of detecting anomalies in time series data. The method includes computing a first bound for a first window of the time series a second bound for a second window of the time series, wherein the second window includes more samples of the time series data. The method also includes generating a first outlier status that indicates whether a current value of the time series data exceeds the first bound, and generating a second outlier status that indicates whether the current value of the time series data exceeds the second bound. The method also includes determining, by a processing device, whether an anomaly is detected in the time series data based on values of the first outlier status and the second outlier status. The method also includes generating an alert in response to determining that the anomaly is detected and sending the alert to a notification system.

Abstract: Embodiments of the present disclosure relate to substrate transfer systems, including the use of a carrier configured to transfer objects through a substrate processing system. The carrier generally includes a base, a first magnetic levitation element and a second magnetic levitation element coupled to the base. The first magnetic levitation element and the second magnetic levitation element may be aligned in a first direction, the first magnetic levitation element may include a first array of features, and the second magnetic levitation element may include a second array of features. The carrier may also include a first support member coupled to the base and a second support member coupled to the base. The first support member and the second support member are disposed below the first magnetic levitation element and the second magnetic levitation element, and the first support member and the second support member are configured to support an object.

Abstract: Provided herein are engineered linear RNA polynucleotide molecules that form circular RNA polynucleotide molecules in cells. Also provided are DNA constructs encoding the engineered linear RNA polynucleotide molecules.

Abstract: A computer-implemented method includes accessing virtual private cloud flow logs of network traffic data originating from a virtual private cloud, generating filtered flow logs by filtering the virtual private cloud flow logs, extracting features based on a plurality of attributes from the filtered flow logs, training one or more machine learning models based on the features, applying the one or more machine learning models to the network traffic data to identify potential beacons, generating an alert notification that identifies the potential beacons, and communicating the alert notification to an alerting system.

Abstract: The present disclosure is generally directed to the use of mixed reality to provide safety information as well as infotainment during flight. Demonstrations of the safety information for the aircraft are augmented in a 3-D way with a virtual representation of the aircraft. The virtual representation provides the safety instructions to the passengers. The mixed reality concept provides the safety information with the help of video-see through mixed reality by way of a head-mounted display worn by the passengers. The safety instructions are provided with a complete working view of locations and operations for the safety jackets, emergency exits, and oxygen passenger service units.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria, rules, indicators, or scenarios so as to generate scores, reports, alerts, or conclusions that the analyst may quickly and efficiently use to evaluate the groups of data clusters.

Abstract: Provided is a method for suggesting a caption for an image, comprising: receiving the image; determining a plurality of impacting categories associated with a plurality of contextual keywords for the image, each of the plurality of impacting categories representing a sentiment associated with the plurality of contextual keywords; grouping the plurality of contextual keywords into a plurality of groups based on the plurality of impacting categories; determining an order associated with the plurality of contextual keywords, based on a pre-determined impacting function; generating at least one caption by processing each contextual keyword, based on the order associated with the plurality of contextual keywords; determining a priority value associated with each of the at least one caption based on information associated with the corresponding caption, a user profile, and the image; and suggesting the caption from the at least one caption based on the priority value.

Abstract: Embodiments relate to the autonomous remediation of IT asset records in accordance with rules-based asset management policies. An IT asset record associated with an IT asset and having a first piece of IT asset information is received and evaluated for compliance in accordance with defined asset management rules. The asset management rules require the IT asset record to include both the first piece and a second piece of IT asset information. In view of the rules, a determination is made that the IT asset record requires remediation. Based on a determination that the IT asset record requires remediation, a decision-tree machine learning model is utilized to infer, based on IT asset information available in the IT asset record, at least the second piece of IT asset information to place the IT asset record in compliance with the asset management rules.

Abstract: According to some embodiments, a system, method and non-transitory computer readable medium are provided comprising a memory storing processor-executable steps; and a processor to execute the processor-executable steps to cause the system to: receive a first data value of a plurality of data values from a data store, wherein the first data value is from a digital twin model of an industrial asset; determine, via a vulnerability module, whether the received at least one data value is a near boundary case or not a near boundary case; in a case it is determined the first data value is a near boundary case, generate one or more adversarial samples for the first data value; input each of the one or more adversarial samples to the digital twin model; execute the digital twin model to output a system response for each input adversarial sample; determine whether the system response to each input adversarial sample has a negative impact; in a case it is determined the system response has a negative impact for a given

Abstract: Methods and systems for operating a Heating, Ventilating and Air Conditioning (HVAC) system in accordance with one of a plurality of operating modes. The plurality of operating modes include one or more of a health mode, an energy savings mode and a balanced mode. In some cases, the operating modes include two or more energy saving modes. The currently operating mode is selected based on the current operating conditions of the building and the desired goals of the building operator. The goals can include, for example, reducing energy usage, reducing pathogen risks, increasing air quality and/or a combination of these goals. In some cases, the operating modes are autonomously controlled. In some cases, the operating modes are manually controlled.

Abstract: A system for monitoring and controlling carbon emission, energy usage and/or utility costs at one or more facilities includes an input for receiving information regarding use of a commodity or service provided by each of one or more utilities at one or more facilities, a memory for storing the received information including historical information, and a controller that is configured to receive an input from a user to control one or more of the devices to reduce carbon emission, energy usage and/or utility costs at one or more of the facilities, and to send control commands to control the one or more devices based on the received user input. The controller is configured to render a dashboard for display on a display, where the dashboard may concurrently display a carbon emission card, an energy usage card and a utility cost card.

Abstract: A signal transmission system includes an equalization filter configured to filter an input signal based at least in part on a feedback signal, a slicer configured to generate data based on the filtered input signal at a plurality of different phases, a synchronizer configured to compute a phase delay between the input signal at each of the different phases and the data, and a pattern generator configured to generate the feedback signal at a phase adjusted by the phase delay.