Abstract: Methods, apparatuses, and computer-readable storage medium for resolving state mismatch between a dual subscriber identity module (SIM) dual standby (DSDS)UE and a network are provided. An example method may include receiving, from at least one base station, a connected mode discontinuous reception (DRX) (CDRX) configuration and an idle DRX (IDRX) configuration, the CDRX configuration being associated with a first subscriber and the IDRX configuration being associated with a second subscriber. The example method may further include transmitting, to an upper layer, a radio resource control (RRC) release request based on the CDRX configuration and the IDRX configuration. The example method may further include transmitting, to an associated base station of the at least one base station, a synchronization message to get in synchronization with the associated base station.

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: This disclosure relates generally to method and system for providing assistance to interviewers. Technical interviewing is immensely important for enterprise but requires significant domain expertise and investment of time. The present disclosure aids assists interviewers with a framework via an interview assistant bot. The method initiates an interview session for a job description by selecting a set of qualified candidates resume to be interviewed. Further, the IA bot recommends each interviewer with a set of question and reference answer pairs prior initiating the interview. At each interview step, the IA bot records interview history and recommends interviewer with the revised set of questions. Further, an assessment score is determined for the candidate using the reference answer extracted from a resource corpus. Additionally, statistics about the interview process is generated, such as number and nature of questions asked, and its variation across to identify outliers for corrective actions.

Abstract: Arrangements for using a cognitive convergence engine for resource optimization are provided. Requests for service, such as a loan, an account, or the like, may be received via different communication channels. The requests for service may be aggregated based on type of request and transferred to a cloud environment for evaluation. A request may be evaluated to determine whether it is eligible for bot processing. If so, the request may be transferred to a bot server for processing. If not, the request may be evaluated to identify a best fit resource for processing. Identifying the best fit resource may include scores computed by a plurality of computational instances or virtual machines configured to process the computations. A number of computational instances may be determined based on a volume of requests. The computational instances may then be deployed to determine a best fit resource for the first request.

Abstract: Questions play a central role in assessment of a candidate's expertise during an interview or examination. However, generating such questions from input text documents manually needs specialized expertise and experience. Further, techniques that are available for automated question generation require input sentence as well as an answer phrase in that sentence to generate question. This in-turn requires large training datasets consisting tuples of input sentence answer-phrase and the corresponding question. Additionally, training datasets are available are for general purpose text, but not for technical text. Present application provides systems and methods for generating technical questions from technical documents. The system extracts meta information and linguistic information of text data present in technical documents. The system then identifies relationships that exist in provided text data. The system further creates one or more graphs based on the identified relationships.

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: Disclosed are techniques for communication. In an aspect, a communications devices communicates, from an upper communication layer (e.g., application layer) to a lower communication layer (e.g., transport layer), indication(s) to prioritize certain frames (e.g., recovery frames and/or feedback frames) over other frames (e.g., Inter frames) associated with the same QCI bearer for a video streaming session. The lower communication layer may place the prioritized frames ahead of the non-prioritized frames in a lower layer transmission buffer based on the indication. The communications device may transmit one or more packets carrying the first set of frames before one or more packets carrying the second set of frames based on the first set of frames being placed ahead of the second set of frames in the lower layer transmission buffer.

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 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 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.