Abstract: Multiple data paths may be available to a data management system for transferring data between a primary storage device and a secondary storage device. The data management system may be able to gain operational advantages by performing load balancing across the multiple data paths. The system may use application layer characteristics of the data for transferring from a primary storage to a backup storage during data backup operation, and correspondingly from a secondary or backup storage system to a primary storage system during restoration.

Abstract: The invention provides systems, methods, and devices relating to the provision of system-wide coordinated voltage regulation support in power transmission and distribution networks using multiple inverter-based based power generation or absorption facilities, which are coupled to the power transmission and distribution networks for minimizing transmission and distribution line losses and for performing Conservation Voltage Reduction. The invention uses a novel control method of inverter-based based Distributed Generators as Static Synchronous Compensator (STATCOM) in a way that provides a dynamic voltage regulation/control with the inverter capacity remaining after real power generation or absorption, thereby decreasing line losses, performing Conservation Voltage Reduction (CVR), reducing load demand, decreasing peak demand, and reducing energy consumption.

Abstract: This disclosure describes using a dynamic proxy for securing communications between a source within a cloud environment and an application container. The techniques include intercepting traffic directed to an application container, analyzing the traffic and traffic patterns, and allowing or preventing the traffic from being delivered to the application container based on the analysis. A traffic analysis engine may determine whether the traffic is considered safe and is to be allowed to be delivered to the application container, or whether the traffic is considered unsafe and is to be prevented from being delivered to the application container, According to some configurations, the address(es) to the network interfaces (e.g., WIFI or Eth0) are abstracted to help ensure security of the application containers.

Abstract: For each discovered smart socket, the smart socket is automatically added to a supervisor database and a predetermined set of two or more objects for the smart socket are automatically added to the supervisor database. One or more predetermined alarm extensions are automatically added to predetermined ones of the two or more objects of the smart socket in the supervisor database. One or more predetermined history extensions are automatically added to predetermined ones of the two or more objects of the smart socket in the supervisor database. Predetermined ones of the two or more objects and/or extensions of each of the discovered smart sockets are automatically mapped to a predetermined dashboard.

Abstract: A method for maintaining a measure of accumulated energy delivered to an appliance includes a supervisor repeatedly receiving from a first smart socket a measure of energy delivered to the appliance by the first smart socket and maintaining a measure of accumulated energy delivered to the appliance. When the first smart socket fails and is replaced, the method includes repeatedly receiving from the second smart socket a measure of energy delivered to the appliance by the second smart socket, maintaining the measure of accumulated energy delivered to the appliance based at least in part on the measures previously received from the first smart socket and the measures repeatedly received from the second smart socket of energy delivered to the appliance by the second smart socket, and displaying the measure of accumulated energy delivered to the appliance on a dashboard.

Abstract: A system and method for using a graph-based data structure to capture complex relations between different healthcare entities, analyze and mine healthcare data. The system sets up a framework for analyzing and mining historical healthcare data to help clinical patients and practitioners to guide care and make early decisions for interventions. More particularly, the system and method use graph embedding and machine learning modeling to process healthcare data in order to match member/patients with healthcare facilities or providers for performing a particular medical procedure or other health intervention needed by the patient.

Abstract: A system and method for using a graph-based data structure to capture complex relations between different healthcare entities, analyze and mine healthcare data. The system sets up a framework for analyzing and mining historical healthcare data to help clinical patients and practitioners to guide care and make early decisions for interventions. More particularly, the system and method use graph embedding and machine learning modeling to process healthcare data in order to match member/patients with healthcare facilities for performing a particular medical procedure needed by the patient.

Abstract: In one embodiment, a method herein comprises: determining a set of flows to be monitored within a computer network; determining, by the device, a set of nodes within the computer network through which the set of flows traverse; determining monitoring capabilities for the set of nodes; generating an assignment for each particular node of the set of nodes to monitor a subset of one or more flows of the set of flows based on the monitoring capabilities of each particular node, wherein the assignment for each particular node of the set of nodes ensures that each flow of the set of flows is monitored by at least one or more nodes of the set of nodes; and instructing the set of nodes to monitor the set of flows according to the assignment for each particular node of the set of nodes.

Abstract: Energy consumption may be reduced by tracking a measure of baseline energy over time in order to determine which of the one or more appliances have a power on mode and a power standby mode based at least in part on the measure of baseline energy delivered to each of the appliances during the baseline time period, wherein the power standby mode consumes less power than the power on mode. During subsequent operation, the supervisor identifies when an appliance is in a power standby mode, and turns off the socket receptacles of the smart sockets that corresponds to those appliances identified as being in their power standby mode.

Abstract: A method includes receiving distillation data including a plurality of out-of-domain training utterances. For each particular out-of-domain training utterance of the distillation data, the method includes generating a corresponding augmented out-of-domain training utterance, and generating, using a teacher ASR model trained on training data corresponding to a target domain, a pseudo-label corresponding to the corresponding augmented out-of-domain training utterance. The method also includes distilling a student ASR model from the teacher ASR model by training the student ASR model using the corresponding augmented out-of-domain training utterances paired with the corresponding pseudo-labels generated by the teacher ASR model.

Abstract: Disclosed herein is an object detection system, including apparatuses and methods for object detection. An implementation may include receiving a first class of a first object depicted in an image frame from a classification model and subsequently receiving a second image frame. The implementation further includes predicting, using a classification tracking model, that the classification model will output the first class for the second image frame and then detecting whether the first class is in fact outputted. The implementation includes determining that the second image frame should be added to a training dataset for the classification model when detecting that the classification model did not generate the first class for the second image frame as predicted and re-training the classification model using the training dataset.

Abstract: Systems, methods, and computer program products may store, in a distributed cache, a rule associated with a plurality of accounts in a Real-Time Payments (RTP) network, the rule being stored in association with account data associated with the plurality of accounts; receive an account level exclusion directive associated with the account; store, in the distributed cache, the account level exclusion directive in association with the account; receive transaction data associated with a transaction in the RTP network between the account and another account; retrieve, from the distributed cache, the rule, the account level exclusion directive, and the account data associated with the account; exclude, based on the account level exclusion directive, use of the rule for processing the transaction; and process, without applying the rule, the transaction in the RTP network.

Abstract: Embodiments of an adapter, a system including the adapter, and methods of using the adapter may be for mixing a first substance and a second substance. The adapter may include a body having a first port configured to connect with a first container to receive a first substance, a second port configured to connect with a second container to receive a second substance, a third port configured to connect with a recipient container to output a mixture of the first substance and the second substance, and a mixing chamber having a first portion in communication with the first port and the second port and a second portion in communication with the third port. The adapter may further include a mixing pin inserted into the mixing chamber. In some embodiments, the mixing pin at least partially defines at least one microfluidic path for mixing the first substance and the second substance. In some embodiments, at least one of the first channel and the second channel are oriented offset of a central plane of the body.

Abstract: Embodiments of an adapter, a system including the adapter, and methods of using the adapter may be for mixing a first substance and a second substance. The adapter may include a body having a first port configured to connect with a first container to receive a first substance, a second port configured to connect with a second container to receive a second substance, a third port configured to connect with a recipient container to output a mixture of the first substance and the second substance, and a mixing chamber having a first portion in communication with the first port and the second port and a second portion in communication with the third port. The adapter may further include a mixing pin inserted into the mixing chamber. In some embodiments, the mixing pin at least partially defines at least one microfluidic path for mixing the first substance and the second substance. In some embodiments, at least one of the first channel and the second channel are oriented offset of a central plane of the body.

Abstract: Disclosed herein is an object detection system, including apparatuses and methods for object detection. An implementation may include receiving a first image frame from an ROI detection model that generated a first ROI boundary around a first object detected in the first image frame and subsequently receiving a second image frame. The implementation further includes predicting, using an ROI tracking model, that the first ROI boundary will be present in the second image frame and then detecting whether the first ROI boundary is in fact present in the second image frame. The implementation includes determining that the second image frame should be added to a training dataset for the ROI detection model when detecting that the ROI detection model did not generate the first ROI boundary in the second image frame as predicted and re-training the ROI detection model using the training dataset.

Abstract: In some embodiments, apparatuses and methods are provided to support individuals in a retail environment. Some embodiments, provide systems, comprising: a plurality of cameras positioned in a retail store; an image processing control circuit configured to determine a customer field of view; a product identification control circuit configured to identify a set of multiple products within the identified customer field of view, assign a viewing probability to each product without the first customer having to touch the first product; a product selection control circuit configured to determine a purchase probability of the first product; add the first product to a virtual electronic cart when the purchase probability of the first product exceeds a purchase probability threshold; and communicate instructions to control the worker personal computing device to instruct a worker to retrieve the first product.

Abstract: A microfluidic device may have at least one inlet channel; a microfluidic channel having a first portion fluidly connected to the at least one inlet channel; and at least one outlet channel fluidly connected to a second portion of the microfluidic channel, wherein the microfluidic channel has a plurality of dimples extending away from an axis of the microfluidic channel. The at least one inlet channel includes a first inlet channel and a second inlet channel, and/or the at least one outlet channel includes a first outlet channel and a second outlet channel. In some embodiments, the plurality of dimples may be configured to separate nanoparticles of different sizes to the first outlet channel and the second outlet channel.

Abstract: The present disclosure envisages an edible film composition for delivering predetermined amount of at least one edible composition to the oral cavity, a packaged dosage form packed in an edible film and a process for preparing the edible film composition and the dosage form, where the edible film composition disintegrates quickly upon placement in the oral cavity. Additionally, the edible composition can be at least one selected from the group consisting of mouth fresheners, mukhawas, mint, chocolate, arica nut, coconut, aftermeal snack or digestive aid, confectioner food product, and fennel seeds.

Abstract: Implementations disclosed herein are directed to a hybrid federated learning (FL) technique that utilizes both federated averaging (FA) and federated distillation (FD) during a given round of FL of a given global machine learning (ML) model. Implementations may identify a population of client devices to participate in the given round of FL, determine a corresponding quantity of instances of client data available at each of the client devices that may be utilized during the given round of FL, and select different subsets of the client devices based on the corresponding quantity of instances of client data. Further, implementations may cause a first subset of the client devices to generate a corresponding FA update and a second subset of client devices to generate a corresponding FD update. Moreover, implementations may subsequently update the given global ML model based on the corresponding FA updates and the corresponding FD updates.

Abstract: A method includes acquiring blended seismic data representing a subsurface volume of interest from a plurality of seismic sources, estimating a signal mode using one or more first priors by applying sparse inversion to the blended seismic data, predicting multi-source interference in the blended seismic data based at least in part on the estimated signal mode, removing the estimated signal mode and the predicted multi-source interference from the blended seismic data, such that a residual signal is left, and estimating a coherent signal from the residual signal by solving a sparse inversion.