Abstract: In one embodiment, a device computes states of a network path associated with an online application by representing time series of telemetry data regarding the network path as discrete values. The device makes, using a machine learning model, a prediction that a quality of experience metric for the online application will be degraded, based on a particular transition pattern of the states being observed for the network path. The device determines one or more performance metrics for the machine learning model with respect to the network path. The device provides an indication of the particular transition pattern of the states for display, based in part on the one or more performance metrics for the machine learning model with respect to the network path.

Abstract: In one embodiment, a device computes an efficiency metric regarding ingestion of telemetry data from a particular portion of a network by a predictive routing engine used to make predictive routing decisions for that portion of the network. The device makes a comparison between the efficiency metric and one or more control rules. The device determines, based on the comparison, whether ingestion of the telemetry data from the particular portion of the network by the predictive routing engine should be disabled. The device causes the predictive routing engine to stop ingesting telemetry data from the particular portion of the network.

Abstract: In one embodiment, a device obtains path probe data between one or more end-user sites and an online application. The device makes, based on the path probe data, a prediction as to whether a direct Internet access path or a backhaul path would offer better application performance for the online application. The device generates, based on the prediction, a split tunnel policy for a particular end-user site. The device causes a particular end-user site to connect to the online application in accordance with the split tunnel policy.

Abstract: A method and system of controlling operation of wind turbines is provided, the method including (a) receiving a parameter value which is based on at least one sensor signal, (b) determining a difference between the received parameter value and a predetermined value, (c) comparing the difference with a threshold value, and (d) if the difference is below the threshold value, operating the wind turbines in a first mode of operation, (e) if the difference is not below the threshold value, incrementing an alert counter, comparing the alert counter with an alert threshold value, operating the wind turbines in a second mode of operation if the alert counter is smaller than the alert threshold value or if the alert counter exceeds the second threshold value and the difference is decreasing, triggering an alarm if the alert counter exceeds the alert threshold value and the difference is not decreasing.

Abstract: In one embodiment, a device obtains metadata for routing decisions made by a predictive routing service for a plurality of network deployments. The device identifies a network topology for a network deployment that does not use the predictive routing service. The device estimates, based on the metadata for routing decisions made by the predictive routing service, performance metrics for the predictive routing service were it to be used to make routing decisions for the network topology. The device sends, to a user interface, report data indicative of the performance metrics estimated for the predictive routing service were it to be used to make routing decisions for the network topology.

Abstract: In one embodiment, a service receives software version data regarding versions of software executed by devices in a network. The service detects a version change in the version of software executed by one or more of the devices, based on the received software version data. The service makes a determination that a drop in data quality of input data for a machine learning model used to monitor the network is associated with the detected version change. The service reverts the one or more devices to a prior version of software, based on the determination that the drop in quality of the input data for the machine learning model used to monitor the network is associated with the detected version change.

Abstract: An apparatus comprises a processing device configured to monitor development of a plurality of software applications, to identify a first one of the plurality of software applications that has a given version ready for deployment to a production environment of an information technology infrastructure, and to determine at least one dependency between the given version of the first one of the plurality of software applications and a given version of at least a second one of the plurality of software applications. The processing device is further configured to control deployment of the given version of the first one of the plurality of software applications in the production environment of the information technology infrastructure based at least in part on evaluating a deployment status of the given version of the second one of the plurality of software applications.

Abstract: Presented herein are methods, non-transitory computer readable media, and devices triggering a metadata recovery process within a network storage system, which include: dividing metadata into metadata segments, wherein each of the metadata segments is tasked to perform a specific file system operation function, validating each of the metadata segments during the specific file system operation function; upon failure to validate at least one of the metadata segments, triggering an automatic repair process while maintaining the operation function tasked to the metadata segment, and upon finalizing the automatic repair process, resuming the specific file system operation function tasked to the metadata segment.

Abstract: An apparatus for directing fluid flow is disclosed, including a valve structure having a chamber, a main port, a first port, and a second port, each of the ports being connected to the chamber. A poppet structure in the chamber is moveable between a first position blocking the first port and a second position blocking the second port. A first compliant member connecting the poppet structure to an inner wall of the chamber, is configured to alternate application of forces to the poppet structure, in opposite directions, between the first and second positions.

Abstract: Embodiments of a hydraulic reservoir cooler include a backward curve centrifugal fan located rearward of a vented front cover of the cooler, the centrifugal fan having a center point “c” and a radius “r”; and a core area including fins and a manifold in fluid communication with a hydraulic fluid tank, the core area being located between the vented front cover and the backward curve centrifugal fan and including: a straight vertical portion extending in height less than an uppermost upper end of the centrifugal fan; a straight horizontal portion located above the uppermost upper end of the centrifugal fan; and a curved portion connecting the straight vertical and horizontal portions, the curved portion having a center point “C” and a radius “R”; where C is located above c and R is greater than r. The cooler may be adapted for use with an agricultural pumper truck.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a terminal in a wireless communication system includes receiving a medium access control (MAC) protocol data unit (PDU) for a unicast; starting a hybrid automatic repeat request (HARQ) round trip time (RTT) timer for the unicast in a first symbol after an end of a transmission carrying a HARQ feedback for a HARQ process corresponding to a downlink (DL) assignment; stopping a retransmission timer for the unicast for the HARQ process corresponding to the DL assignment; and stopping a retransmission timer for a multicast for the HARQ process corresponding to the DL assignment.

Abstract: Described embodiments provide system and methods for selecting a device via which a client is to connect with a server. A client may identify a server and a plurality of devices intermediary to the client and the server via one of which the client is authenticated to connect to access the server using a certificate. The client may detect that the server is unreachable from the client authenticated to use a first connection via a first device of the plurality of devices using the certificate. The client may select, responsive to detecting that the server is unreachable, a second device of the plurality of devices via which the client is to access the server. The client may authenticate, using the certificate used to authenticate with the first device, the client to establish a second connection with the second device to access the server.

Abstract: In one embodiment, a device obtains performance data regarding failures of a tunnel in a network. The device generates a failure profile for the tunnel by applying machine learning to the performance data regarding the failures of the tunnel. The device determines, based on the failure profile for the tunnel, whether the tunnel exhibits failure flapping behavior. The device adjusts one or more Bidirectional Forwarding Detection (BFD) probing timers used to detect failures of the tunnel, based on the determination as to whether the tunnel exhibits failure flapping behavior.

Abstract: A computer system for assessing sound to analyze a user's sleep includes a processor configured to perform operations including: (i) storing sample sound data associated with a plurality of sample sleep events, the sample sound data including a plurality of sample characteristics each respectively associated with at least one sample sleep event of the plurality of sample sleep events; (ii) receiving, from a client device, subject sound data collected during a sleep interval; (iii) analyzing, using a machine learning algorithm, the subject sound data collected during the sleep interval; (iv) identifying, based upon the analyzing, a subject characteristic associated with the subject sound data; (v) comparing the subject characteristic with the plurality of sample characteristics; and (vi) determining, based upon the comparing, whether the subject characteristic substantially matches at least one sample characteristic to identify one or more subject sleep events occurring during the sleep interval.

Abstract: The disclosure relates to a 5th generation (5G) or 6th generation (6G) communication system for supporting a higher data transmission rate. A method for supporting multiple measurement gaps in a wireless network by a radio access network node (RAN node) is provided. The method includes creating a radio resource control (RRC) message comprising one of a RRC Reconfiguration or a RRC Resume with additional Information Elements (IEs) for configuration of the multiple measurement gaps, transmitting the RRC message with the additional IEs in the gap configuration of each of the measurement gap to a user equipment (UE) in the wireless network for configuration of the multiple measurement gaps. Further, the method includes receiving an RRC message comprising of one of an RRC Reconfiguration Complete or an RRC Resume Complete indicating successful application of the received measurement gap configuration from the UE.

Abstract: The disclosure relates to a fifth generation (5G) or sixth generation (6G) communication system for supporting a higher data transmission rate. A method is provided. The method includes receiving, by a Next Generation Radio Access Network (NG-RAN) node, a multicast group paging message from an Access and Mobility Management Function (AMF) node, determining, by the NG-RAN node, one or more User Equipment (UE) that has to be page (e.g., multicast group paging) for the MBS multicast session activation notification based on the received multicast group paging message, performing, by the NG-RAN node, the multicast group paging for one or more determined UE, wherein the NG-RAN node pages the MBS multicast session activation notification to one or more determined UE.

Abstract: An explainable artificial intelligence based decisioning management method and system for processing financial transaction is disclosed. The method includes receiving a request for performing a financial transaction from applicant and from data sources. The method further includes performing a data sufficiency check using one or more neural network on the request by validating the request of the applicant with one or more external data sources. Further, the method includes generating a decision for the received request using neural network model if the data sufficiency check is successful. Additionally, the method includes validating the decision by reverse calculating, through the neural layers of the neural network model, an importance weightage distribution across each of the neural nodes. Also, the method includes generating a case assessment report for the generated decision based on the validation.

Abstract: Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle. Combinations of co-occurring driving events may be detected and used to warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.

Abstract: Methods and devices for quantifying creatinine in a test sample are provided. The test sample is contacted with a sensing composition to obtain a product comprising a hydantoin-transition metal complex and ammonia. The sensing composition comprises creatinine deaminase and a transition metal salt. The creatinine deaminase enzymatically reacts with creatinine to provide the N-methyl hydantoin and ammonia. The N-methyl hydantoin forms the hydantoin-transition metal complex with the transition salt. A potential difference is applied to the product to measure a current signal provided by the hydantoin-transition metal complex. Concentration of N-methyl hydantoin is obtained based on the measured current signal using a calibration equation. The concentration of N-methyl hydantoin is correlated with concentration of creatinine to quantify the creatinine in the test sample.

Abstract: The present invention relates to a gastro-resistant pharmaceutical composition comprising a solid solution prepared by hot-melt extrusion, whereby the solid solution contains posaconazole, an enteric polymer and a non-enteric polymer. The composition is preferably a granulate material that can be filled into a capsule or compressed into a tablet.