Abstract: Systems and methods for detecting and verifying closed places (e.g., claims no longer in business) from trip data are provided. A networked system accesses trip data associated with the POI. The networked system processes the trip data to generate at least two time buckets based on timestamps from the trip data associated with the POI, and calculates trip counts associated with the POI for each of the time buckets. Using a machine learning algorithm and based on the at least two time buckets, the networked system determines that the trip counts show a decline over time that indicates that the POI is likely closed. In response to the determining, the networked system updates a database to indicate the POI is closed.

Abstract: Sum of bid quantities (across price bands) placed by generators in energy markets have been observed to be either constant OR varying over a few finite values. Several researches have used simulated data to investigate desired aspect. However, these approaches have not been accurate in prediction. Embodiments of the present disclosure identified two sets of generators which needed specialized methods for regression (i) generators whose total bid quantity (TBQ) was constant (ii) generators whose total bid quantity varied over a few finite values only. In first category, present disclosure used a softmax output based ANN regressor to capture constant total bid quantity nature of targets and a loss function while training to capture error most meaningfully. For second category, system predicts total bid quantity (TBQ) of a generator and then predicts to allocate TBQ predicted across the various price bands which is accomplished by the softmax regression for constant TBQs.

Abstract: A system for providing backup services for limited-access user data includes persistent storage for storing a user data visualization enhanced user data backup and a manager. The manager identifies a backup generation event for limited-access user data based on a protection policy; in response to identifying the backup generation event, obtains fragmented user data from an application that gates access to the limited-access user data; obtains organizational metadata associated with the fragmented user data from the application; makes a determination that the fragmented user data is associated with a user data visualization; in response to making the determination, obtains user data visualization metadata associated with the fragmented user data from the application; and generates the user data enhanced user data backup using the organizational metadata, the user data visualization metadata, and the fragmented user data.

Abstract: A method and system for providing profile-based data and visualization access through a semantic domain layer is disclosed. In some embodiments, the method includes receiving a user request to access data. The method further includes determining a user profile from a plurality of user profiles associated with the user. The method further includes extracting a first access level from a first set of access levels associated with the user profile. The method further includes mapping the user profile with a domain object from a plurality of domain objects, based on a second access level from the first set of access levels associated with the domain object. The method further includes selectively rendering at least a portion of the data requested in the user request to the user, in response to mapping the user profile with the domain object.

Abstract: A system for handling object pallets in a storage facility is provided. The system includes a plurality of pallet pick-put (PPP) stations, a plurality of movable pallet units (MPUs), a material handling equipment (MHE), and a control server. The control server receives a first request for storing a first object pallet in the storage facility, and selects a first PPP station from the plurality of PPP stations for temporarily placing the first object pallet. The control server identifies a first MPU of the plurality of MPUs for storing the first object pallet, and communicates a placement instruction to an instruction device of the MHE for placing the first object pallet in the first MPU. Based on the placement instruction, the first object pallet is placed in the first MPU by the MHE, when the first MPU reaches a first location of the first PPP station.

Abstract: Credentials management and usage in application modernization can be implemented as computer-readable methods, media and systems. A notification identifying an application modernization operation is received. The operation is to be performed on an application deployed by multiple resources arranged in multiple hierarchical levels. A resource residing at a hierarchical level of the multiple hierarchical levels is identified. The application modernization operation is to be performed on the identified resource which has a resource type. A search for a credential is performed. The credential grants access to the resource to enable performing the application modernization operation. In response to the searching, a credential included in the multiple credentials is identified. The identified credential grants access either to the resource or to resources of the resource type. In response to receiving the notification, the identified credential is provided.

Abstract: A method for scoring a cloud SaaS application to rate the level of cloud security provided by that application. The application URLs are crawled iteratively for data corresponding to a set of predetermined features using keyword strings. The features are determined to be those which are indicative of effective cloud security. The crawled data corresponding to features are stored in text files. The data are used for training and supervised machine learning algorithm to determine the probability score that a feature is present for that application. The feature scores are numerically combined to arrive at an overall cloud confidence index score (CCI) for that application. Every SaaS application is rated with a score between 1 and 100, depending on whether the selected features are present or not. The CCI score provides an easy way to determine the level of cloud security provided the application. It also provides a way to compare different SaaS applications as to their effectiveness in providing cloud security.

Abstract: A method and system for asset protection threat detection and mitigation using interactive graphics. Specifically, the disclosed method and system entail discerning protection vulnerabilities exhibited by assets (or databases) based on maintained backup metadata. These protection vulnerabilities may subsequently be visualized as part of a projected graphical user interface, which may not only disclose the protection vulnerabilities to a user but also may enable the user to rectify the disclosed protection vulnerabilities through on-demand asset backup operations.

Abstract: An information handling system includes a shared device, first and second compute nodes, and a chassis management controller. The first compute node includes a first management controller, which initiates a firmware update for firmware in the shared device. The first management controller detects that that the firmware update is complete. In response to the firmware update being completed, the management controller sends rollback information for the firmware to the chassis controller. The chassis controller stores the rollback information as a rollback image within a storage location of a memory. The chassis controller further sends the rollback information to the second compute node. The second compute node includes a second management controller, which in turn receives the rollback information from the chassis controller, and updates the rollback information within the second compute node.

Abstract: A system for providing data protection services for user data generated by an application, includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for user data based on a protection policy, in response to identifying the backup generation event, obtain user data associated with the backup generation event from the application, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, and generate a user data backup using the user data and the user metadata, in which the user data backup comprises calendar events of the calendar and portions of the user metadata associated with the calendar events.

Abstract: Certain aspects of the present disclosure provide techniques for providing an augmented reality user interface, including: receiving, by an image sensor of an electronic device, an image of a physical document; determining a document type associated with the physical document by performing image recognition on the image of the physical document; determining an augmented reality template to display on a display of the electronic device; displaying the augmented reality template on the display of the electronic device, wherein the augmented reality template is aligned in three dimensions with the physical document; determining a distance between the physical document and the electronic device; and enabling one or more interactive user interface elements within the augmented reality template displayed on the display of the electronic device if the determined distance between the physical document and the electronic device is less than a threshold distance.

Abstract: The present invention relates to process for the preparation of cannabidiol (A) from the coupling of (D) and (E) through the intermediates (C) and (D) starting from compound (B). The invention further relates to the novel compounds (B), (C), (D) and (E) and reagents used in this process. More specifically, this invention provides the manufacturing of Cannabidiol (A) in milligram to gram or kilogram scale.

Abstract: A system for providing data protection services for user data generated by an application includes persistent storage that includes an archive storage and a backup storage. The system also includes a manager. The manager is programmed to generate data chunks using user data, generate backup object metadata associated with the data chunks; obtain previously generated backup object metadata associated with the user data using an archive value, make a first determination that at least one data chunk of the data chunks is to be archived using the backup object metadata and the previously generated backup object metadata, and, in response to the first determination: store the at least one data chunk in the archive storage as a portion of a user data backup, and store remaining data chunks of the data chunks in the backup storage as the remaining portion of the user data backup.

Abstract: Anti-hog TCN1 monoclonal antibodies are disclosed, along with epitopes recognized by same. Also disclosed are kits containing the monoclonal antibodies and methods of producing the antibodies. Further disclosed are methods of using the monoclonal antibodies, such as (but not limited to) in methods of estimating and/or removing TCN1 from hog intrinsic factor preparations.

Abstract: A system for providing data protection services for user data associated with calendar groups generated by an application includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for the user data associated with a calendar group based on a protection policy, obtain user data associated with the backup generation event from the application in response to identifying the backup generation event, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, generate calendar group information associated with the calendar using the user data and the user metadata, generate a user data backup using the user data, the calendar group information, and the user metadata, in which the user data backup comprises backup data and backup metadata.

Abstract: In energy markets in which bidding process is used to sell energy, it is important that a mechanism for deciding bidding amount is in place. State of the art systems in this domain have the disadvantage that they rely on simulation data, and also they make certain assumptions, and both the factors can affect accuracy of results when the systems are deployed and are expected to handle practical scenarios. The disclosure herein generally relates to energy markets, and, more particularly, to a method and a system for Reinforcement Learning (RL) based model for generating bids. The system trains a RL agent using historical data with respect to competitor bids places and Market Clearing Prices (MCPs). The RL agent then processes real-time inputs and generates bidding recommendations.

Abstract: An information handling system includes a shared device, first and second compute nodes, and a chassis management controller. The first compute node includes a first management controller, which initiates a firmware update for firmware in the shared device. The first management controller detects that that the firmware update is complete. In response to the firmware update being completed, the management controller sends rollback information for the firmware to the chassis controller. The chassis controller stores the rollback information as a rollback image within a storage location of a memory. The chassis controller further sends the rollback information to the second compute node. The second compute node includes a second management controller, which in turn receives the rollback information from the chassis controller, and updates the rollback information within the second compute node.

Abstract: A system for providing backup services for limited-access user data includes persistent storage for storing a user data visualization enhanced user data backup and a manager. The manager identifies a backup generation event for limited-access user data based on a protection policy; in response to identifying the backup generation event, obtains fragmented user data from an application that gates access to the limited-access user data; obtains organizational metadata associated with the fragmented user data from the application; makes a determination that the fragmented user data is associated with a user data visualization; in response to making the determination, obtains user data visualization metadata associated with the fragmented user data from the application; and generates the user data enhanced user data backup using the organizational metadata, the user data visualization metadata, and the fragmented user data.

Abstract: Present disclosure relates to system and method for converting RTMP stream into HLS format for live stream. The solution architecture can include three main components: a Publisher (106), a Streamer (108) and an API server (112). The publisher (106) manages incoming RTMP streams and converts RTMP stream into multiple (resolutions) HLS streams with an adaptive bit rate. The streamer (108) manages end users consuming HLS feed. As publisher (106) can be busy doing transcoding, the streamer (108) can serve HLS format to an end user. At streamer level, caching is done instead of sending all requests to publisher. The API server (112) manages load on the publishers and the streamers, and makes sure that the servers are available all the time. Live stream API server keeps record of the streams which are available as well as the corresponding publishers having the streams.

Abstract: A system for providing data protection services for user data generated by an application includes persistent storage that includes an archive storage and a backup storage. The system also includes a manager. The manager is programmed to generate data chunks using user data, generate backup object metadata associated with the data chunks; obtain previously generated backup object metadata associated with the user data using an archive value, make a first determination that at least one data chunk of the data chunks is to be archived using the backup object metadata and the previously generated backup object metadata, and, in response to the first determination: store the at least one data chunk in the archive storage as a portion of a user data backup, and store remaining data chunks of the data chunks in the backup storage as the remaining portion of the user data backup.