Abstract: Techniques for using more-specific routing to perform scalable Layer-2 (L2) stretching of subnets across hybrid-cloud environments. Routing tables in a public cloud may allow for routes that are more specific than the default local route, and the more-specific routes may be used to send all traffic to a dedicated, cloud router. The more-specific routes are set up for a VPC where a subnet resides such that the more specific-routes cover at least a portion of subnet range. The next hop for the more-specific routes point to the cloud router which is capable of doing host routing and segmentation extension. Thus, traffic originating from endpoints in a VPC is routed to the cloud router, and the cloud router determines whether the traffic is to be re-routed back to a destination endpoint in the VPC (or another cloud location), or sent to a destination endpoint residing in the on-premises site.

Abstract: One embodiment provides a method comprising determining multi-dimensional metadata corresponding to an input image, and determining ambient light information indicative of a level of ambient light in an ambient environment of a display device. The multi-dimensional metadata comprises a cumulative distribution function (CDF) of pixels in the input image. The method further comprises determining, based on the multi-dimensional metadata and the ambient light information, one or more gains that adaptively compensate for the level of ambient light in the ambient environment. The method further comprises generating a tone mapping function based on the one or more gains, and applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the level of ambient light in the ambient environment. The tone-mapped image is provided to the display device for presentation.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to generate potential paths for the vehicle to navigate an intersection in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputs—such as heat maps corresponding to key points associated with the intersection, vector fields corresponding to directionality, heading, and offsets with respect to lanes, intensity maps corresponding to widths of lanes, and/or classifications corresponding to line segments of the intersection. The outputs may be decoded and/or otherwise post-processed to reconstruct an intersection—or key points corresponding thereto—and to determine proposed or potential paths for navigating the vehicle through the intersection.

Abstract: Provided are forward osmosis processes to increase the concentration of a dilute metal salt solution, e.g., a vanadium electrolyte solution. In embodiments, such a process comprises: (a) delivering a draw solution to a draw chamber of a forward osmosis module, the draw solution comprising water and sulfuric acid at a draw acid concentration, wherein the draw solution is free of vanadium cations; and (b) delivering a feed solution to a feed chamber of the forward osmosis module, the draw and feed chambers separated by a membrane, the feed solution comprising water, vanadium cations, and sulfuric acid at a feed acid concentration that is lower than the draw acid concentration, wherein water passes across the membrane from the feed solution to the draw solution, thereby providing a concentrated vanadium electrolyte solution as a feed chamber output and a diluted acid solution as a draw chamber output.

Abstract: An HVAC sensor device (50) comprising a control signal input (54in) for receiving control signal(s) for controlling one or more HVAC actuator(s) (10) from an HVAC controller (20); a control signal output (54out) for transmitting control signal(s) for controlling the HVAC actuator(s) (10) and an electronic circuit (56). The electronic circuit (56) is configured to: receive a sensor signal(s) indicative of condensation and/or relative humidity in the HVAC system; pass through the control signal(s) received at the control signal input (54in) to the control signal output (54out) if the sensor signal(s) indicative of condensation and/or relative humidity is within a defined range(s); and overwrite the control signal(s) received at the control signal input (54in) with a control reference value (V1) and output the overwritten control signal(s) at the control signal output (54out) if the sensor signal(s) indicative of condensation and/or relative humidity is outside the defined range.

Abstract: A computer-implemented method for grouping target entities into clusters. A base association in which a cluster is associated with each of the target entities is determined in a computation step for the target entities as a function of an association for entities. Inference rules are determined as a function of the association for entities and as a function of the base association, each of the inference rules defining an association of entities with one of the clusters. An altered association is determined as a function of the association for entities and the inference rules. A check is made as to whether a difference between the base association and the altered association falls below a threshold value. When it does, an association of the target entities with the clusters is output or stored. Otherwise, a feedback value is determined as a function of the difference.

Abstract: The passively q-switched diode end-pumped solid-state laser is used the gain medium made of Er:Yb doped crystal and the Q-switch made of Co2+:MgAl2O4 crystal. The optical elements are optimally designed for the resonator to achieve pulse energy in a range 0.5 mJ?E?2 mJ with the pulse width in a range of 4 ns-15 ns. The resonator is appropriate to use in laser rangefinders, target designator, and other products in military and civilian applications.

Abstract: A floating master controller system is provided that includes a plurality of hardware units, each capable of carrying out at least one mechanical function. Each hardware unit includes a processor configured via controller code included in a memory to cause the respective hardware unit to operate and carry out the at least one mechanical function. The controller code for each hardware unit includes a master controller (MC) application and at least one floating master controller (FMC) application. Each MC application is operably configured to function as an active master controller that controls the at least one mechanical function in each of the plurality of hardware units in the system and is operably configured to control the at least one mechanical function for its respective hardware unit responsive to tracking another one of the MC applications that is functioning as the active master controller in the system.

Abstract: A method for transferring alignment marks between substrate systems includes providing a substrate having semiconductor devices and alignment marks in precise alignment with the semiconductor devices; and physically transferring and bonding the semiconductor devices and the alignment marks to a temporary substrate of a first substrate system. The method can also include physically transferring and bonding the semiconductor devices and the alignment marks to a mass transfer substrate of a second substrate system; and physically transferring and bonding the semiconductor devices and the alignment marks to a circuitry substrate of a third substrate system. A system for transferring alignment marks between substrate systems includes the substrate having the semiconductor devices and the alignment marks in precise alignment with the semiconductor devices. The system also includes the first substrate system, and can include the second substrate system and the third substrate system.

Abstract: The present invention relates to novel lipidated peptide inhibitors of the interleukin-23 receptor (IL-23R) or pharmaceutically acceptable salts, solvates and/or other forms thereof, corresponding pharmaceutical compositions, methods and/or uses of the IL-23R inhibitors for treatment of autoimmune inflammation diseases and/or related disorders.

Abstract: Systems and methods for lifelong schema matching are described. The systems and methods include receiving data comprising a plurality of information categories, classifying each information category according to a schema comprising a plurality of classes, wherein the classification is performed by a neural network classifier trained based on a lifelong learning technique using a plurality of exemplar training sets, wherein each of the exemplar training sets includes a plurality of examples corresponding to one of the classes, and wherein the examples are selected based on a metric indicating how well each of the examples represents the corresponding class, and adding the data to a database based on the classification, wherein the database is organized according to the schema.

Abstract: A child seat having a coupling element mountable to a free-standing base and mountable to a supportable base is disclosed. The free-standing base includes a bench and at least one leg extending from the bench. The supportable base includes a support mechanism for coupling the supportable base to a support structure. A system including the child seat and the free-standing base is also disclosed. A system including the child seat and the supportable base is also disclosed.

Abstract: Described herein are supervised machine learning techniques for generating a first machine learned model, which receives, as input, values for a set of utilization metrics for a server computer and generates, as output, a service-specific health score for the server computer, and for generating a second machine learned model, which receives, as input, values for the volume of application traffic directed to a group of server computers hosting the service for each of several prior time periods and generates, as output, an application traffic forecast for the group of server computers, for a future time period.

Abstract: Methods and systems for management of uplink HARQ processes where fewer than a defined number of repetitions of uplink data are transmitted on configured grant resources. The applied HARQ processes may be varied dependent on the number of repetitions transmitted and dependent on the reception status at the base station.

Abstract: A method performed by a terminal in a wireless communication system is provided. The method includes receiving, from a serving base station, a radio resource control (RRC) message including a handover command to new radio (NR) cell, while performing an emergency service on long term evolution (LTE) cell. The method includes identifying whether the NR cell supports a reduced capability (RedCap) function, based on system information on the NR cell. The method includes switching an operation mode of the terminal from RedCap mode to an NR normal mode, in case that the NR cell does not support RedCap function. The method includes, while the terminal operates in the NR normal mode, performing the emergency service on the NR cell through access to the NR cell. The method includes, in response to termination of the emergency service, switching the operation mode of the terminal from NR normal mode to RedCap mode.

Abstract: This invention relates to a process for producing cyanoacetates involving contacting a salt of an alkyl, alkenyl, alkynyl or aryl formyl acetate with a hydroxyl amine acid under appropriate conditions and for a time sufficient to yield a cyanoacetate.

Abstract: Techniques are described for creating a container environment that implements direct communications between pods. This includes the creation of a management component (such as a control plane) of the container environment, the creation of nodes within an implementation component (such as a data plane) of the container environment, and the attaching of virtualized network interface cards (VNICs) to each node. This also includes creating a custom resource for each node, where the custom resource stores internet protocol (IP) addresses assigned to the node and stored within the VNICs for the node. Pods implemented within these nodes obtain an IP address from the VNICs for their respective node and communicate with each other utilizing the IP addresses via virtual communication devices and the VNICs.

Abstract: A sheet feeder includes: a sheet rack; a pair of side plates movable along a width of a sheet on the sheet rack and abuttable against both widthwise ends of the sheet; a widthwise drive device that moves the side plates along the width of the sheet; a pair of end detecting devices provided one for each of the side plates and capable of detecting both the ends of the sheet abutting the side plates, respectively; and a control device that includes a processor, controls the widthwise drive device through the processor executing a control program to allow the widthwise drive device to move, based on outputs of the end detecting devices, the side plates until abutment against both the ends of the sheet, acquires respective travel distances of the side plates moved by the widthwise drive device, and determines a size of the sheet based on the travel distances.

Abstract: In various embodiments, a server stores a set of cryptographic keys associated with a client that includes a server-stored bootstrap key, a server-stored authentication key, and a server-stored proposed key. The server receives an authentication request from the client that includes a client-indicated bootstrap key, a client-indicated authentication key, and a client-indicated proposed key. The server makes a determination that the client is authenticated based in part on whether there is a match between the client-indicated authentication key and either the server-stored authentication key or the server-stored proposed key. The server provides, based on the determination, an authentication response to the client indicating that the client has been authenticated.

Abstract: The present disclosure describes a model for large scale color prediction of objects identified in images. Embodiments of the present disclosure include an object detection network, an attention network, and a color classification network. The object detection network generates object features for an object in an image and may include a convolutional neural network (CNN), region proposal network, or a ResNet. The attention network generates an attention vector for the object based on the object features, wherein the attention network takes a query vector based on the object features, and a plurality of key vector and a plurality of value vectors corresponding to a plurality of colors as input. The color classification network generates a color attribute vector based on the attention vector, wherein the color attribute vector indicates a probability of the object including each of the plurality of colors.