Abstract: A method for recovery point objective compliant star replication, the method includes: obtaining, by a SSS, a user defined RPO value; performing replication iterations to each DSS according to replication schedules of the DSSs, wherein at least two DSSs of the multiple DSSs are assigned with replication schedules having different frequencies of replication iterations; wherein each replication iteration includes sending a content related to a scheduled snapshot; determining a conformance to the RPO, of a time elapsed since a content related to a last common snapshot was replicated to each one of the multiple DSSs; and performing a non-scheduled common (NSC) replication iteration to each of the multiple DSSs to prevent a violation of the RPO, wherein the NSC replication iteration includes sending content related to a NSC snapshot to each one of the multiple DSSs.

Abstract: A method for obtaining information related to a filesystem path in a file system that is stored in a storage system, the method may include (i) receiving a request to obtain hierarchy information related to file system entities stored under the filesystem path; and (ii) retrieving the hierarchy information; wherein the retrieving comprises accessing a filesystem hierarchy table that stores information regarding pathnames of file system entities of the file system; wherein the retrieving includes searching for path components of the filesystem path in subsets of cells of the filesystem hierarchy table, wherein each subset of cells is part of a set of cells that include path components of a certain pathname of a filesystem entity that belong to the file system.

Abstract: The present disclosure provides acoustic model training methods and systems, and speech synthesis methods and systems. An acoustic model training method may include obtaining a plurality of training samples. Each of the plurality of training samples may include a sample text input, a sample emotion label corresponding to the sample text input, and a sample reference mel spectrum corresponding to the sample text input. The acoustic model training method may include inputting the plurality of training samples into a target model. The target model may include the acoustic model and an auxiliary module. The acoustic model training method may further include iteratively adjusting at least one model parameter of the acoustic model based on a loss target.

Abstract: Provided herein are devices, systems, methods and various means, including those related to providing a community internet drive that may utilize a centrally-managed hub as well as storage devices distributed among various networked machines. In some embodiments, the community internet drive can also include features to enable its users to promote and utilize the user's trusted personal relationships while also enabling an open platform for peer-to-peer and/or other types of sharing schemes.

Abstract: This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.

Abstract: A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bank server stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bank server, and stays connected to it, for allowing a communication session initiated by the tunnel bank server. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.

Abstract: Described are methods, systems and computer readable media for keyed row data selection and processing.

Abstract: The present disclosure provides systems and methods for improving a product conversion rate based on federated learning and blockchain. The system may in response to receiving a federated learning request sent by an initiator node, broadcast the federated learning request within a blockchain federation; in response to obtaining a response to the federated learning request from at least one node in the blockchain federation, determine at least one participant node; obtain first representation data related to first user data from the initiator node and second representation data related to second user data from the at least one participant node; determine a federated learning strategy corresponding to the federated learning request based on the first representation data and the second representation data; and coordinate the initiator node and the at least one participant node for federated learning based on the federated learning strategy to generate a trained conversion rate model.

Abstract: An autonomous distributed wise area network (AD-WAN) includes several nodes, where each node connects a local area network to an open wide area network, and provides tunnels over the open wide area network to other nodes in the AD-WAN so that computing resources behind each node can communicate as if they were located on a common intranet. Each node has a blockchain wallet and receives updates to a private permissioned blockchain ledger for that AD-WAN. The updates are provided by a control node. Set up, and subsequent change to the AD-WAN are commenced via a customer portal which provides order information to the control node, where the control node processes the order information and generates a blockchain update that informs the affected nodes in the AD-WAN as to what changes are to be made. As a result, the blockchain provides both control plane and order management operation of the AD-WAN.

Abstract: In an embodiment, a method of performance-enhanced machine-learning model creation is performed by a computer system. The method includes receiving a command to port a first bot from a first RPA platform to a second RPA platform, where the first bot executes a robotic process in a computing environment provided by a particular computer system using the first RPA platform. The method further includes extracting bot configurations for the first bot from the first RPA platform, where the bot configurations include an instruction set that at least partially defines the robotic process. The method also includes creating a second bot for the second RPA platform, where the creating includes transforming the instruction set to a format of the second RPA platform. In addition, the method includes deploying the second bot on the second RPA platform, wherein the deployed second bot executes the robotic process.

Abstract: Quantitative evaluations of friction within a customer experience may be provided to reduce abandonment and improve conversion of transactions. One or more transactions may be identified. One or more personas corresponding to the one or more transactions may be identified. One or more customer friction factor (CFF) scores corresponding to the one or more transactions may be determined. A given CFF score may be a quantification of an aspect of a given transaction that has a negative impact on a customer experience associated with the given transaction. The one or more CFF scores may be compared with one or more valid comparisons relating to the same industry and the same transaction type. One or more friction points may be identified based on the comparison of the one or more CFF scores. Addressing a friction point may reduce abandonment and improves conversion associated with transactions.

Abstract: The disclosure provides a data sharing system and a data sharing method. The data sharing system includes a storage device and a processor. The processor executes multiple modules stored by the storage device. When a first software as a service (SaaS) application program sends a data sharing request to a second SaaS application program, a mutual trust relationship service module receives a request for confirmation of a mutual trust relationship transmitted by the second SaaS application program, so as to confirm the mutual trust relationship. When the mutual trust relationship is confirmed, the mutual trust relationship service module obtains virtual user identification data from a tenant management service module, and provides the virtual user identification data to the second SaaS application program, so that the second SaaS application program obtains data authority, and shares specific data to the first SaaS application program.

Abstract: This disclosure describes systems, methods, and computer-readable media related to providing a point of sale platform. In some embodiment, a point of sale (POS) device may receive information associated with an order and payment information associated with the order. The POS device may generate a first object based at least in part on the information associated with the order and a second object based at least in part on the payment information. The POS device may store the first object and the second object in a queue. The POS device may transmit the first object and the second object to a remote server.

Abstract: A method for analyzing social network accounts includes querying a first social network for data about a first user account associated with the first social network. The received data is stored in a social graph structure and used to determine derived characteristics of the first user account. The derived characteristics are quantified and used to generate a first feature vector for the first user account. The first feature vector of the first user account is compared with a second feature vector of a second user account associated with a second social network different from the first social network. Based on the comparison of the first and second feature vectors, it is determined whether the first user account and the second user account are associated with a same entity.

Abstract: A method of computing a heart rate value compensates for noise derived from the subject, the sensor, the transmission, and/or other variables that can lead to false R-peak detection or missed R-peak detection. The method computes an updated heart rate based on a window of approximately ten seconds of digitized ECG readings broadcast from a sensor. A new value is calculated approximately every second such that the window of ECG readings overlaps considerably between consecutive calculations. The method compensates for noisy data by discarding heart rate samples that differ by more than a threshold amount from a previously calculated heart rate value. The threshold is adjusted based on a standard deviation of differences between heart rate samples. Prior to calculating a heart rate value, a forward-looking, pre-filter logic may be applied in situations where the raw data has an extremely low signal-to-noise ratio.

Abstract: An animal data compliance system includes one or more sources of animal data from one or more targeted individuals wherein the animal data is transmitted electronically. A collecting computing device gathers the animal data. One or more rules related to at least a portion of the animal data are created or modified based upon one or more terms. The one or more rules are associated with at least a portion of the animal data. At least a portion of animal data and the one or more rules are provided to one or more receiving computing devices. The one or more rules informs the one or more receiving computing devices of one or more permissions or restrictions related to the animal data. The one or more receiving computing devices take at least one action based upon the one or more rules.

Abstract: A tracking management method for commodity circulation information, relating to the field of information technology, and implemented by means of a Transaction Settlement System. By determining whether the seller of a commodity is legally holding the commodity, fake goods can be prevented from being mixed into a commodity circulation process. By means of the method, fake goods cannot enter a circulation channel, and ordinary consumers do not need to distinguish the genuine from the fake when purchasing commodities.

Abstract: To train models, training data is needed. As personal data changes over time, the training data can get stale, obviating its usefulness in training the model. Embodiments deal with this by developing a database with a running log specifying how each person's data changes at the time. When data is ingested, it may not be normalized. To deal with this, embodiments clean the data to ensure the ingested data fields are normalized. Finally, the various tasks needed to train the model and solve for accuracy of personal data can quickly become cumbersome to a computing device. They can conflict with one another and compete inefficiently for computing resources, such as processor power and memory capacity. To deal with these issues, a scheduler is employed to queue the various tasks involved.

Abstract: In general, this disclosure describes techniques for applying a distributed pipeline model in a distributed computing system to cause processing nodes of the distributed computing system to process data according to a distributed pipeline having an execution topology, specified within a pipeline statement, to perform a task.

Abstract: Techniques are disclosed relating to sharing data. A first computer system may receive data shared by a second computer system to permit the first computer system to perform processing of the data according to a set of policies. The first computer system may instantiate a verification environment in which to process the shared data. The first computer system may process a portion of the shared data by executing a set of processing routines to generate a result based on the shared data. The verification environment may verify whether the result is in accordance with the set of policies. The verification environment may determine whether to output the result based on the verifying and may send an indication of an outcome of the determining to the second computer system. The indication may be usable to determine whether to provide the first computer system with continued access to the shared data.