Abstract: System and method for controlling synchronous rectification. For example, the system for controlling synchronous rectification includes: a switch including a first switch terminal configured to receive a first voltage, the switch further including a second switch terminal and being configured to be closed or opened by a control signal; a voltage generator configured to receive a second voltage from the second switch terminal and generate a third voltage based at least in part on the second voltage; a filter circuit including a resistor and a capacitor, the filter circuit being configured to receive the second voltage from the second switch terminal and generate a fourth voltage based at least in part on the second voltage; a first comparator configured to receive the third voltage and the fourth voltage and generate a first comparison signal based at least in part on the third voltage and the four voltage.

Abstract: System and method for synchronous rectification of a power converter. For example, the system for synchronous rectification includes: a first system terminal configured to receive an input voltage; and a second system terminal configured to output a drive signal to a first transistor terminal of a transistor, the transistor further including a second transistor terminal and a third transistor terminal, the second transistor terminal being connected to a secondary winding of the power converter, the power converter further including a primary winding coupled to the secondary winding; wherein the system is configured to: determine whether the input voltage becomes lower than a predetermined voltage threshold; and if the input voltage becomes lower than the predetermined voltage threshold, determine whether a time when the input voltage becomes lower than the predetermined voltage threshold is during or not during a demagnetization process of the secondary winding.

Abstract: The presently disclosed subject matter includes an apparatus that receives a dataset with values associated with different digital resources captured from a group of compute devices. The apparatus includes a feature extractor, to generate a set of feature vectors, each feature vector from the set of feature vectors associated with a set of data included in the received dataset. The apparatus uses the set of feature vectors to validate multiple machine learning models trained to determine whether a digital resource is associated with a cyberattack. The apparatus selects at least one active machine learning model and sets the remaining trained machine learning models to operate in an inactive mode. The active machine learning model generates a signal to alert a security administrator, blocks a digital resource from loading at a compute device, or executes other remedial action, upon a determination that the digital resource is associated with a cyberattack.

Abstract: A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

Abstract: A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

Abstract: The presently disclosed subject matter includes an apparatus that receives a dataset with values associated with different digital resources captured from a group of compute devices. The apparatus includes a feature extractor, to generate a set of feature vectors, each feature vector from the set of feature vectors associated with a set of data included in the received dataset. The apparatus uses the set of feature vectors to validate multiple machine learning models trained to determine whether a digital resource is associated with a cyberattack. The apparatus selects at least one active machine learning model and sets the remaining trained machine learning models to operate in an inactive mode. The active machine learning model generates a signal to alert a security administrator, blocks a digital resource from loading at a compute device, or executes other remedial action, upon a determination that the digital resource is associated with a cyberattack.

Abstract: A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

Abstract: A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

Abstract: A method for generating rule recommendation utilized in a creation of malware detection rules is described. Meta-information associated with a plurality of events collected during a malware detection analysis of an object by a cybersecurity system is received and a first plurality of features is selected from the received meta-information. Machine learning (ML) models are applied to each of the first plurality of features to generate a score that represents a level of maliciousness for the feature and thereby a degree of usefulness of the feature in classifying the object as malicious or benign. Thereafter, a second plurality of features is selected as the salient features, which are used in creation of the malware detection rules in controlling subsequent operations of the cybersecurity system. The second plurality of features being lesser in number that the first plurality of features.

Abstract: A method for detecting a cyberattack on a network device is described. The method features receiving script text and performing a normalization operation on the script text to produce a normalized script text. The normalized script text includes a plurality of analytic tokens each being an instance of a sequence of characters grouped together as a useful semantic unit for natural language processing (NLP). Thereafter, a NLP model is applied to the normalized script text to classify a script associated with the script text as malicious or benign. Responsive to the script being classified as malicious, generating an alert message provided to an administrator to identify the malicious script.

Abstract: A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

Abstract: A method, system and computer program product for performing video analytics on content, by collecting content (video data) from a plurality of sources, wherein the content pursues a streaming protocol; and performing at least one of storing the content in a local repository for downtime recording wherein on negative determination of a network connection, wherein servers directly coupled to a plurality of sources cache content until the network connection retains normalcy or performing analytics at least one of a real-time insight or an interactive insight or a batch insights on the content, and displaying to the user a resulting insight wherein the resulting insights are in a human readable form.

Abstract: A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

Abstract: Techniques to detect backup-related anomalies are disclosed. In various embodiments, a processor is used to generate based at least in part on backup log data associated with a training period a predictive model. The predictive model is to detect, using the processor, anomalies in corresponding backup log data associated with a detection period.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing semi-supervised learning on partially labeled nodes on a bipartite graph. One described method can determine a useful score of malware infection risk from partial known facts for entities modeled as nodes on a bipartite graph, where network traffic is measured between inside-the-enterprise entities and outside-the-enterprise entities. This and other methods can be implemented in a large-scale massively parallel processing database. Methods of scaling the partial label input and of presenting the results are also described.

Abstract: A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

Abstract: A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

Abstract: Techniques to detect backup-related anomalies are disclosed. In various embodiments, a processor is used to generate based at least in part on backup log data associated with a training period a predictive model. The predictive model is to detect, using the processor, anomalies in corresponding backup log data associated with a detection period.

Abstract: Machine generated event log data which includes events occurring over a window of time is received where each event includes a first node, a second node, and a timestamp. The events are aggregated into a plurality of aggregated graph snapshots. Communities within the plurality of aggregated graph snapshots are identified and community tracking links are determined between communities in the plurality of aggregated graph snapshots. A community that has an anomalous evolution in the plurality of aggregated graph snapshots compared to the evolution of other communities is identified based at least in part on the community tracking links. The communities are displayed where the display includes the community tracking links and identifies the community that has the anomalous evolution.

Abstract: Techniques to detect backup-related anomalies are disclosed. In various embodiments, a processor is used to generate based at least in part on backup log data associated with a training period a predictive model. The predictive model is to detect, using the processor, anomalies in corresponding backup log data associated with a detection period.