Abstract: A system and method for monitoring operations and detecting failures of a plurality of connected devices installed on a premises determines the correct vendor for failure resolution and provides the vendor with a secure and limited mechanism to access assigned devices remotely for servicing. The system limits vendor access to only devices configured on a respective virtual network provisioned in a container provided on a network monitoring device.

Abstract: Disclosures herein may be directed to a method, technique, or apparatus directed to a computer-assisted or autonomous driving (CA/AD) vehicle that includes a system controller, disposed in a first CA/AD vehicle, to manage a collaborative three-dimensional (3-D) map of an environment around the first CA/AD vehicle, wherein the system controller is to receive, from another CA/AD vehicle proximate to the first CA/AD vehicle, an indication of at least a portion of another 3-D map of another environment around both the first CA/AD vehicle and the another CA/AD vehicle and incorporate the at least the portion of the 3-D map proximate to the first CA/AD vehicle and the another CA/AD vehicle into the 3-D map of the environment of the first CA/AD vehicle managed by the system controller.

Abstract: Embodiments of a device and method are disclosed. In an embodiment, a method of communications involves from a wireless sensor deployed at a customer site, connecting to a wireless access point (AP) deployed at the customer site and based on a private key stored in the wireless sensor, performing mutual authentication between the wireless sensor and an authentication server connected to the wireless AP.

Abstract: A system and method for monitoring operations and detecting failures of a plurality of connected devices installed on a premises determines the correct vendor for failure resolution and provides the vendor with a secure and limited mechanism to access assigned devices remotely for servicing. The system limits vendor access to only devices configured on a respective virtual network provisioned in a container provided on a network monitoring device.

Abstract: Robotics control system (10) and method for training said robotics control system are provided. Disclosed embodiments make a gracefully blended utilization of Reinforcement Learning (RL) with conventional control by way of a dynamically adaptive interaction between respective control signals (20, 24) generated by a conventional feedback controller (18) and an RL controller (22). Additionally, disclosed embodiments make use of an iterative approach for training a control policy by effective use of virtual sensor and actuator data (60) interleaved with real-world sensor and actuator data (54). This is effective to reducing a training sample size to fulfill a blended control policy for the conventional feedback controller and the reinforcement learning controller. Disclosed embodiments may be used in a variety of industrial automation applications.

Abstract: In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.

Abstract: A method for secure approval of a check includes: reading a machine-readable code to obtain a block identifier and a validation value, wherein the machine-readable code is displayed on a physical check and encoded with the block identifier and validation value; receiving a digital signature from an external device; identifying a blockchain data value stored in a blockchain, wherein the blockchain data value includes at least the block identifier and an additional value; validating the received digital signature using a public key; validating the validation value based on a comparison of the validation value to the additional value; and approving use of the physical check to fund a payment transaction upon successful validation of the received digital signature and validation value.

Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provides an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.

Abstract: Techniques for optimal changeover in a multicell environment when conditional cell changeover is configured are disclosed. A user equipment (UE) may receive a conditional changeover command (e.g., conditional handover (CHO), conditional primary secondary cell (PSCell) change CPC)) from a serving cell. The conditional changeover command may include a neighbor cell configuration of a neighbor cell set comprising one or more cells that neighbor the serving cell. The neighbor cell configuration may indicate resource configurations of uplink (UL) and/or downlink (DL) resources the neighbor cell set. The UE may utilize the neighbor cell configuration to determine potential interferences due to the resources of the serving cell colliding with the resources of the neighbor cell set, and take mitigation steps to address the potential interferences.

Abstract: Disclosed are aspects of network function placement in virtual graphics processing unit (vGPU)-enabled environments. In one example a network function request is associated with a network function. A scheduler selects a vGPU-enabled GPU to handle the network function request. The vGPU-enabled GPU is selected in consideration of a network function memory requirement or a network function IO requirement. The network function request is processed using an instance of the network function within a virtual machine that is executed using the selected vGPU-enabled GPU.

Abstract: A method and an electronic device providing multi-views with an augmented reality (AR) device are provided. The method includes establishing a connection with at least one browsing device, receiving content source information from the at least one browsing device, transmitting the content source information to a second server to fetch AR content from the second server, and displaying, based on the content source information, the AR content on an AR plane which is separately viewable from a webpage displayed on a display of the at least one browsing device.

Abstract: A design and manufacturing system includes a multi-axis machine tool including a cutting head able to support a plurality of available tools and a part support, the cutting head and part support fully controllable in at least two axes, a design system operable using a computer to generate a 3-D model of a part to be manufactured, and a machine learning model operable using the computer to analyze the part to be manufactured to identify features and develop a manufacturing plan at least partially based on the multi-axis machine tool and the plurality of available tools, the manufacturing plan including a type of tool used for each feature, a feed-rate for each type of tool for each feature, and a speed of the tool for each type of tool for each feature.

Abstract: Techniques for optimal interference handling in a multicell environment when conditional cell changeover is configured are disclosed. A user equipment (UE) may receive a conditional changeover command (e.g., conditional handover (CHO), conditional primary secondary cell (PSCell) change CPC)) from a serving cell. The conditional changeover command may include a neighbor cell configuration of a neighbor cell set comprising one or more cells that neighbor the serving cell. The neighbor cell configuration may indicate resource configurations of downlink (DL) resources the neighbor cell set. The UE may utilize the neighbor cell configuration to determine potential interferences due to the resources of the serving cell colliding with the resources of the neighbor cell set, and take mitigation steps to address the potential interferences.

Abstract: A cloud network may include a distributed security switch (DSS). The DSS may be to receive configuration information from the hypervisor. The configuration information may include a set of access mode attributes and a security policy. The DSS may be to determine that a packet is to be directed from a source virtual machine to a target virtual machine. The DSS may be to identify an egress interface of the source virtual machine and an ingress interface of the target virtual machine. The egress interface may be associated with a first access mode attribute and the ingress interface being associated with a second access mode attribute. The DSS may be to selectively route the packet, using the shared memory, based on the first access mode attribute, the second access mode attribute, and the security policy.

Abstract: A frangible strut for a gas turbine engine includes a first end to couple to a first structure of the gas turbine engine, and a second end opposite the first end. The second end is to couple to a second structure of the gas turbine engine. The second end includes an outer portion coaxial with and spaced radially apart from an inner portion. The inner portion is to receive a fastening device to couple the second end to the second structure. The outer portion is coupled to a body of the frangible strut. The inner portion is interconnected to the outer portion by a plurality of frangible members that are spaced apart about a perimeter of the inner portion, and each of the frangible members are configured to release the inner portion from the outer portion. The frangible strut includes the body interconnecting the first end and the second end.

Abstract: A stiffener for an aircraft assembly is disclosed. The stiffener provides structural stability to the aircraft assembly. The stiffener has a first stiffener part having a planar web portion and a second stiffener part arranged with the first stiffener part. The second stiffener part includes a corrugated web portion having a corrugation. The present application also relates to an aircraft assembly, a fuselage for an aircraft, an aircraft and a method of forming a stiffener for an aircraft assembly.

Abstract: This disclosure describes a card-scan system that can update a card-scan machine learning model to improve card-character predictions for payment cards, driver licenses, or other character-bearing cards by using an active-learning technique that learns from card-scan representations indicating corrections by users to predicted card characters. In particular, the disclosed systems can use a client device to capture and analyze a set of card images of a character-bearing card to predict card characters using a card-scan machine learning model. The disclosed systems can further receive card-scan gradients representing one or more corrections to incorrectly predicted card characters. Based on the card-scan gradients, the disclosed systems can generate active-learning metrics and retrain or update the card-scan machine learning model based on such active-learning metrics.

Abstract: A method for performing a backup operation includes obtaining a backup request, wherein the backup request specifies a virtual machine (VM) set, and, in response to the backup request: identifying a first set of virtual machines (VMs), wherein the first set of VMs comprises a first portion of the VM set, performing a criticality analysis on the first set of VMs using a machine learning algorithm and a trained machine learning model to obtain an ordered list of critical VMs, performing a non-critical VM prioritization on a second set of VMs using the machine learning algorithm and the trained machine learning model to obtain an ordered list of non-critical VMs, consolidating the ordered list of critical VMs and the ordered list of non-critical VMs to obtain a final list, and initiating a backup of virtual machines using the final list.

Abstract: In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.

Abstract: This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for implementing a dual registration mode and a dual receive mode using a single radio for wireless communications. A UE may determine that a wireless communication network supports the dual registration mode and dynamic spectrum sharing (DSS). The UE may establish a first connection with a first base station using a first radio access technology (RAT) of the wireless communication network. The UE may determine, based on one or more parameters associated with the DSS, that a second RAT of the wireless communication network has a second operating frequency band that overlaps a first operating frequency band of the first RAT. The UE may establish, via the second operating frequency band, a second connection with a second base station using the second RAT based on the dual registration mode and the DSS.