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 Application Programming Interface (API) based flow control and API based security at the application layer of the networking protocol stack. The invention additionally provides an API deception environment to protect a server backend from threats, attacks and unauthorized access.

Abstract: A fuselage assembly for an aircraft including a stringer extending longitudinally along the fuselage. The stringer defines a fluid channel. The fluid channel is configured to form at least part of a distribution duct of a cabin air distribution system.

Abstract: Techniques related to calibration of wide-baseline outside-in multi camera systems are discussed. Such techniques include receiving video sequences and intrinsic parameters corresponding to each of the cameras in the system, generating first extrinsic parameters for the cameras using tracked features and the intrinsic parameters and second extrinsic parameters using location parameters corresponding to motion control systems coupled to the cameras, and combining the first and second extrinsic parameters to provide real-time calibration of extrinsic parameters for the cameras.

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: A bioinspired protein pore-based nanostructure that can provide selective, real-time sampling of protein-protein interactions at single-molecule resolution. This modular nanostructure relied on a single polypeptide chain that encompassed a heavily truncated outer membrane protein, a highly flexible connector, a protein receptor element, as well as a polypeptide adapter. The presence of a protein ligand analyte in solution produced reversible binding and release events, in the form of discrete and stochastic current transitions between open substates of the transmembrane pore, the nature of which depend on both the amount of protein ligand analyte and the strength of the transient PPIs in aqueous phase.

Abstract: Methods and apparatus are described for reducing subtitle information for just-after-broadcast (JAB) content. Redundant information in subtitle entries is removed so that some client devices with limited memory can handle the single subtitle file that is delivered with JAB content.

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 fuselage assembly for an aircraft including a stringer extending longitudinally along the fuselage. The stringer defines a fluid channel. The fluid channel is configured to form at least part of a distribution duct of a cabin air distribution system.

Abstract: A method for performing a restoration operation includes obtaining a restoration request, wherein the restoration request specifies a virtual machine (VM) set to be restored, and in response to the restoration request: identifying a first set of virtual machines (VMs), performing a critical VM prioritization on the first set of VMs using 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 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 restoration of virtual machines using the final list.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit information identifying one or more capabilities of the UE in connection with an inactive bandwidth part (BWP) of the UE, wherein the one or more capabilities include at least one of a gapless channel state information (CSI) measurement capability or a gapless reference signal transmission capability. The UE may perform at least one of a CSI measurement or a reference signal transmission on the inactive BWP in accordance with the one or more capabilities. Numerous other aspects are provided.

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 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: 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: 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: An embodiment of a semiconductor package apparatus may include technology to capture two or more concurrent images of a scene with two or more cameras, detect a feature in a first image from a first camera of the two or more cameras, match the feature in a second image from a second camera of the two or more cameras, and perform a photometric calibration between the first camera and the second camera based on a portion of the first image corresponding to the detected feature and a portion of the second image corresponding to the matched feature. Other embodiments are disclosed and claimed.

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: 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 device includes a communication interface, an input interface, and a processor. The communication interface is configured to receive an audio signal associated with an audio call. The input interface is configured to receive user input during the audio call. The processor is configured to generate an audio recording of the audio signal in response to receiving the user input. The processor is also configured to generate text by performing speech-to-text conversion of the audio recording. The processor is further configured to perform a comparison of the text to a pattern. The processor is also configured to identify, based on the comparison, a portion of the text that matches the pattern. The processor is further configured to provide the portion of the text and an option to a display. The option is selectable to initiate performance of an action corresponding to the pattern.

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: 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 Application Programming Interface (API) based flow control and API based security at the application layer of the networking protocol stack. The invention additionally provides an API deception environment to protect a server backend from threats, attacks and unauthorized access.