Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives a declarative specification for creating a datacenter on a cloud platform. The system generates an aggregate pipeline comprising a hierarchy of pipelines. The system generates an aggregate deployment version map associating data center entities of the data center with versions of software artifacts targeted for deployment on the datacenter entities. The system collects a set of software artifacts according to the aggregate deployment version map. The system executes the aggregate pipeline in conjunction with the aggregate deployment version map to create the datacenter in accordance with the cloud platform independent declarative specification.

Abstract: A method includes processing event data to detect a status of a network function. The event data is processed based on two or more conditions defined by a correlation policy. The correlation policy includes a non-deterministic finite automata tree (NFAT) structure correlation policy having a policy type and a logic-gate. The method additionally includes determining the policy type of the NFAT structure correlation policy. The method also includes determining whether a first value of the two or more conditions is indicative of whether a first condition is satisfied. The method further includes determining whether a second value of the two or more conditions is indicative of whether the second condition is satisfied. The method additionally includes determining whether the NFAT structure correlation policy is satisfied based on the first value, the second value, the logic-gate and the policy type.

Abstract: Embodiments described herein include aspects related to previewing and capturing stroke outlines from a real-world image or a video feed. In one embodiment, a stroke outline preview image is generated by performing an edge detection process on an input image. The stroke outline preview image provides a preview indicating an example of a stroke outline image to be provided for the input image if the input image is selected. A detailed stroke outline image for the input image is generated using a detailed stroke outline process, and an alternative stroke outline image is obtained for the input image using an alternative outline process. Thereafter, the alternative stroke outline image is modified by including in the alternative stroke outline image a portion of stroke outlines from the detailed stroke outline image.

Abstract: A method includes receiving CSI frames among P CSI frames transmitted from another electronic device. The method includes estimating a CSI from each of the received CSI frames as an available CSI estimate. The method includes identifying an impairment model accounting for inclusion of amplitude or phase errors of an estimated CSI corresponding to a p-th CSI frame among the P CSI frames. The method includes compensating, via the impairment model, for the errors in amplitude and phase of P CSI estimates. Compensating for the errors in amplitude and phase of the P CSI estimates can be based on: approximating a missing CSI estimate based on the available CSI estimates; determining an AGC gain value; or computing the errors in the phase based on a weighted least-squares solution. The method includes estimating a breathing rate of a subject based on different spatial dimensions of the P compensated CSI estimates.

Abstract: A system and method include server computer which may generate a route service request to service a route with a vehicle and identify a start location for the route and one or more stop locations of the route based on historical data associated at least with one of the route or the vehicle. The server computer may proceed to determine a probability that each of the one or more stop locations for the route will be serviced by the vehicle for the route and automatically select, based on the probability associated with each one of the one or more stop locations for the route, a subset of stop locations among the one or more stop locations. The server computer may then assign the subset of stop locations to the route, and transmit routing navigation instructions to a device associated with the vehicle.

Abstract: Disclosed herein are modified mRNAs with poly(A) tails containing one or more additional poly-A tails or 5? caps, which may be made by ligation of nucleic acids onto the 3? terminal end or 5? terminal end of an RNA, respectively. Also provided are compositions comprising one or more modified mRNAs provided herein, and methods of using said compositions for therapeutic or agricultural applications.

Abstract: A system includes: an alternating current (AC) to direct current (DC) converter (AC-DC converter) including: a bulk capacitor, and an AC-DC converter switch connectable to a line voltage; a DC to DC converter (DC-DC converter) connected to the AC-DC converter, the DC-DC converter including: one or more transformers having a secondary side connectable to a battery, and a bridge driver connected to a primary side of the one or more transformers, the bridge driver including a bridge driver switch; and one or more controllers configured to control an operation of the bridge driver switch to control a discharge of the bulk capacitor to the battery at an end of a grid-to-battery operation, the grid-to-battery operation to supply electric power from the line voltage to the battery.

Abstract: Estimates of amounts of time to transfer data to be replicated based on sizes of expected data transfers resulting from accumulated data since a previous data transfer are monitored. A determination as to whether an estimated amount of time to transfer the data exceeds an interval for replicating the data is made. The interval is determined based on a recovery point objective (RPO) for replicating the data. In response to determining that the estimated amount of time to transfer the data exceeds the interval, a subsequent interval for replicating the data is determined that satisfies the RPO.

Abstract: A system including: one or more processors; a memory storing instructions that, when executed by the one or more processors are configured to cause the system to: scan a plurality of distributed cloud servers to identify a plurality of distributed cloud applications comprising a scheduler configuration file; determine whether each identified distributed cloud application includes a standard or nonstandard environment; shutdown each distributed cloud application of having a standard environment based on a shutdown schedule; reinitialize each distributed cloud application having a standard cloud environment based on the shutdown schedule; create a restore point for each distributed application having a nonstandard environment; convert the nonstandard environments into standard environments; shut down each distributed cloud application having a nonstandard environment, reinitialize each distributed cloud application having a nonstandard environment, and restore the nonstandard cloud environment based on the crea

Abstract: Certain aspects of the present disclosure are directed to apparatus and techniques for performing coordinated beamforming (CoBF) transmissions. The apparatus generally includes a processing system configured to generate at least one first frame including an invitation to share resources with one or more first wireless nodes, wherein the apparatus is part of a first basic service set and the one or more first wireless nodes are part of one or more second basic service sets, a first interface configured to output the at least one first frame for transmission to the one or more first wireless nodes, and a second interface configured to obtain, from the one or more first wireless nodes, an identification of one or more second wireless nodes if the invitation is accepted, wherein the second interface is configured to obtain one or more transmissions from at least one of the one or more second wireless nodes.

Abstract: The present disclosure provides systems and methods for animal health monitoring. Load data can be obtained from an animal monitoring device including three or more load sensors associated with a platform carrying contained litter thereabove, wherein individual load sensors of the three or more load sensors are separated from one another and receive pressure input from the platform independent of one another, wherein the three or more load sensors individually sample loads at from 2.5 Hz to 110 Hz. An animal behavior property associated with the animal can be recognized if it is determined based on load data that the interaction with the contained litter was due to the animal interaction with the contained litter. The animal behavior property can be classified into an animal classified event using a machine learning classifier.

Abstract: A system includes: an alternating current (AC) to direct current (DC) converter (AC-DC converter), the AC-DC converter including a bulk capacitor; a DC-DC converter connectable to the AC-DC converter; and one or more controllers configured to control the system by performing operations, the operations including: determining a current demand of a load, the load being connectable to the DC-DC converter, for a charging cycle of the load; performing a first comparison of the current demand to one or more current demand thresholds; and generating a voltage setpoint for the bulk capacitor based on the first comparison, wherein the generation of the voltage setpoint limits output current ripple of the DC-DC converter for the charging cycle.

Abstract: A system includes: an alternating current (AC) to direct current (DC) converter (AC-DC converter) including a bulk capacitor, the AC-DC converter connectable to a line voltage; a DC to DC converter (DC-DC converter) connected to the AC-DC converter, the DC-DC converter including: one or more transformers having a secondary side connectable to a battery, a bridge rectifier connected to the secondary side of the one or more transformers, the bridge rectifier including a bridge rectifier switch, and a filter capacitor; and one or more controllers configured to control an operation of the bridge rectifier switch to control a discharge of the filter capacitor to the bulk capacitor.

Abstract: A computer-implemented method, a computer system and a computer program product display a projection of driving risk to a vehicle from activity in the surrounding area. The method includes acquiring a vehicle path from the vehicle. The method also includes capturing driving conditions from the surrounding area using a sensor and recognizing an object in the surrounding area that is transmitting relevant data. The method further includes identifying a high-risk object in the surrounding area by calculating a risk score for the object relative to the vehicle based on the vehicle path and intended movements of the object and classifying the object as the high-risk object when the risk score is above a risk threshold for the vehicle. Lastly, the method includes generating an augmented reality display of the surrounding area using an augmented reality device, wherein the augmented reality display of the surrounding area indicates the high-risk object.

Abstract: A method for analyzing consumer behavior within a retail space can include receiving data associated with consumers in communications signals from local devices located in the retail space, where the local devices receive some of the data in visible light communication (VLC) signals broadcast by electrical devices, where each local device is associated with one of the consumers in the retail space at a point in time, and where the data lacks information that identifies the consumers. The method can also include attributing, by the controller using a multi-stage clustering process, the data to discrete consumers for a period of time that includes each point in time. The method can further include assigning the discrete consumers to at least one of a number of groups defined by one or more characteristics measured from the data, where the discrete consumers within a group share a common characteristic.

Abstract: The physical characteristics of one or more anatomical structures of a person may change in accordance with conditions surrounding the determination of such physical characteristics. Machine learning based techniques may be used to determine a template representation of the one or more anatomical structures that may indicate the physical characteristics of the one or more anatomical structures free of the impact imposed by changing conditions. The template representation may then be used to predict the physical characteristics of the one or more anatomical structures under a new set of conditions, without subjecting the person to additional medical scans.

Abstract: Methods and systems are described for provisioning cloud-based database systems and performing decoupled maintenance. For example, conventional systems may rely on database management systems to provision and modify databases hosted by a service provider. However, for entities operating complex database systems with the need for highly customized cloud infrastructure, database management systems fail to provide the granular customization and the control necessary to create and service these systems. In contrast, the described solutions provide an improvement over conventional database management system architecture by providing direct communication between an entity and its cloud-based database systems via command line prompts or API calls, decoupling database system maintenance from database system provisioning process to increase the speed and granular customization of the database system.

Abstract: Apparatus and method for efficient graphics processing including ray tracing. For example, one embodiment of a graphics processor comprises: execution hardware logic to execute graphics commands and render images; an interface to couple functional units of the execution hardware logic to a tiled resource; and a tiled resource manager to manage access by the functional units to the tiled resource, a functional unit of the execution hardware logic to generate a request with a hash identifier (ID) to request access to a portion of the tiled resource, wherein the tiled resource manager is to determine whether a portion of the tiled resource identified by the hash ID exists, and if not, to allocate a new portion of the tiled resource and associate the new portion with the hash ID.

Abstract: A graphical user interface is caused to be output by a display by an apparatus including a processor and a memory. The graphical user interface includes a first user input field configured to receive a first user input identifying a target key performance indicator (KPI) parameter associated with a network, a second user input field configured to receive a second user input identifying a KPI historical data parameter, a third user input field configured to receive a third user input identifying a baseline threshold parameter, and a fourth user input field configured to receive a fourth user input identifying a quantity of historical KPI values to be included in a first set of one or more historical KPI values. The target KPI parameter, the KPI historical data parameter, the quantity of historical KPI values, and the baseline threshold parameter are processed to generate a KPI management profile.

Abstract: Technologies are shown for shipping route selection involving receiving sender and recipient shipping information for an item to be shipped and obtaining shipping route options for the item based on the sender and recipient shipping information. The route options are provided for display and selection of an option. A routing data block is created for the item at an address on a blockchain that stores shipping information for each stage of the selected route. A shipping tag is encoded with the blockchain address and attached to the item. The tag can be scanned to obtain the blockchain address and request information for a next stage of the shipping route from the block. The next shipping information from the block is received and utilized to ship the item to a next geolocation. The next shipping information can be determined based on current conditions, such as weather, pricing and availability.