Abstract: A radiation-sensitive device is disclosed. The device comprises a plurality of single photon avalanche diodes (SPADs) and circuitry configured to adapt a read-out rate of the plurality of SPADs in relation to an intensity of incident radiation. Also disclosed is an associated method of increasing a dynamic range of a radiation-sensitive device comprising a plurality of SPADs. The method comprises adapting a read-out rate of the plurality of SPADs in relation to an intensity of incident radiation.

Abstract: A method may for procurement in a computer simulated environment may include receiving, from the computer simulated environment and/or a client device interacting with the computer simulated environment, a first message associated with a procurement transaction being conducted in the computer simulated environment. The procurement transaction including a digital asset and/or a physical asset associated with the computer simulated environment. In response to receiving the first message, the procurement transaction may be validated based on one or more applicable procurement policies. Moreover, a second message including the result of validating the procurement transaction may be sent to the computer simulated environment and/or the client device interacting with the computer simulated environment. Related systems and computer program products are also provided.

Abstract: Aspects of the present disclosure relate generally to e-health insights of health monitoring of vibration impacts on the human body and, more particularly, to health monitoring of whole body vibration by the Internet of Things. For example, a computer-implemented method includes inputting into a health model, by the computing device, a plurality of health data and sensor data collected for an individual for a predetermined time period; determining, by the computing device, a probability of an onset of at least one symptom of whole body vibration syndrome for the individual from the plurality of health data and sensor data; and sending, by the computing device, a prediction of the onset of the at least one symptom of whole body vibration syndrome to a user device for display on the user device.

Abstract: Methods and systems are proposed for a communication network. In one example, a system for a vehicle comprises a controller of the vehicle comprising instructions stored in memory thereof that when executed enable the controller to gather data related to a vehicle event at a location and store the data in memory in response to the location being free of a road-side unit (RSU), where the controller is further configured to establish a vehicle-to-infrastructure network in wireless communication with the vehicle at a second location different from the location.

Abstract: A virtual assistant server determines at least one user intent based on an analysis of a received conversational user input. One or more of a plurality of views is identified based on the at least one user intent. Further, the virtual assistant server retrieves content based on the at least one user intent or the identified one or more views. The virtual assistant server determines one of a plurality of graphical user interface layers to display for each of one or more parts of the content and the identified one or more views based at least on one or more factors related to the content. Subsequently, the virtual assistant server outputs instructions based on the determined one of the graphical user interface layers in response to the received conversational user input.

Abstract: A cloud based network includes a plurality of nodes, each of which include at least one containerized microservice that enables intent-driven operation of the cloud based network. One or more resource controllers, each designated to manage a custom resource, communicate with a master controller of the node to manage operational and configuration states of the node and any microservices containerized within the node. The master enables a user to monitor and automate the management of microservices and the cloud based network as a whole. The containerized microservice architecture allows user customizable rendering of microservices, reconciliation of old and new versions of microservices, and facilitated management of a plurality of nodes.

Abstract: According to a first aspect of the invention, there is provided a system for optimising data communication between devices connected to a network, the system including: a server configured to: measure application performance metrics of the data communication between the devices; compare the application performance metrics against performance requirements; detect, in response to the application performance metrics being below the performance requirements, nodes having untapped computing resources within the network; determine operation parameters achieving service at the performance requirements; command one or more of the nodes to function at the operation parameters; and migrate at least a portion of workload associated with the data communication amongst the one or more nodes commanded to function at the operation parameters.

Abstract: A method includes receiving a representation of an N-mode interferometer and a representation of at least one imperfection associated with the N-mode interferometer at a processor, N being a positive integer value. The processor identifies multiple two-mode interferometers and multiple phases based on the representation of the N-mode interferometer and the representation of the at least one imperfection. The multiple two-mode interferometers and the multiple phases are configured to apply a unitary transformation to an input signal. The method also includes sending a signal to cause at least one of storage or display of a representation of the multiple two-mode interferometers and a representation of the multiple phases.

Abstract: The technology provides for a pair of earbuds. For instance, a first earbud and a second earbud may each include one or more sensors. The pair of earbuds may further include one or more processors configured to receive one or more first sensor signals from a first sensor in the first earbud and one or more second sensor signals from a second sensor in the second earbud. The one or more processors may compare the first sensor signals with the second sensor signals. Based on the comparison, the one or more processors may detect whether the first earbud and the second earbud are being worn by different users. Based on detecting that the first earbud and the second earbud are being worn by different users, the one or more processors may control the first earbud and the second earbud to use a shared mode.

Abstract: An example process includes receiving, from a user, an input corresponding to a request to render, without using a camera, and during a communication session with an external electronic device, an avatar associated with the user; and in accordance with receiving the input: in accordance with a determination that the electronic device is coupled to an external accessory device: during the communication session with the external electronic device, and while a camera corresponding to the communication session is disabled: receiving, from the external accessory device, a first data stream detected by a first type of sensor of the external accessory device; determining, based on the first data stream, a first set of data representing a first type of visual feature of the avatar; and rendering the avatar using the first set of data.

Abstract: Methods, apparatus and systems are disclosed for receiving an IEEE 802.11 frame at a WLAN station, determining whether the frame is decodable and addressed to the WLAN station, and entering a reduced power state if the frame is not decodable or not addressed to the WLAN station.

Abstract: A target-orientated navigation system and related method for a vehicle having a generic navigation system includes one or more processors and a memory. The memory includes one or more modules that cause the processor to receive perception data, discretize the perception data into a plurality of lattices, generate a collision probability array having a plurality of cells that correspond to the plurality of lattices, determine which cells of the collision probability array satisfy a safety criteria, receive an artificial potential field array having a plurality of cells that correspond to the plurality of cells of the collision probability array, generate, an objective score array having a plurality of cells corresponding to the cells of the collision probability array, and direct a vehicle control system of the vehicle to guide the vehicle to a location representative of a cell in the objective score array that has a highest value.

Abstract: Example methods and systems for service-aware global server load balancing are described. One example may involve a first load balancer receiving, from a client device, a request to access a service associated with an application deployed in at least a first cluster and a second cluster. In response to determination that a first pool in the first cluster is associated with an unhealthy status, the first load balancer may identify a second pool implementing the service in the second cluster, the second pool being associated with a healthy status and includes one or more second backend servers selectable by a second load balancer to process the request. Failure handling may be performed by interacting with the client device, or the second load balancer, to allow the client device to access the service implemented by the second pool in the second cluster.

Abstract: A method of streamlining multiple disparate workflows generated by equipment including: receiving workflow trigger sources from the equipment; generating two or more disparate workflow systems in response to the workflow trigger sources; transforming the two or more disparate workflow systems into a single unified workflow; and performing the unified workflow for the equipment.

Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.

Abstract: A contact center server receives an utterance from a customer device as part of a conversation. The contact center server identifies utterance parameters of the utterance, generates a first response to the utterance based on the utterance parameters, and outputs the utterance parameters and the first response to an agent device. The contact center server receives agent-identified-information corresponding to the utterance or agent-modified-information corresponding to the utterance parameters from the agent device. Subsequently, the contact center server generates a second response to the utterance based on the agent-identified-information or the agent-modified-information and outputs the second response to the agent device.

Abstract: A contact center server receives an input from a customer device as part of a conversation. The contact center server (CCS) identifies at least one of: one or more intents, one or more entities, or one or more entity values from the input. The CCS detects one or more escalation conditions based on the input and pauses the conversation based on the detected one or more escalation conditions. The CCS outputs a conversation transcript and the identified one or more intents, the one or more entities, or the one or more entity values to an agent device. The CCS receives agent-identified-information or agent-modified-information from the agent device. Subsequently, the CCS resumes the conversation by providing a response to the input based on the received agent-identified-information or the agent-modified-information.

Abstract: Computer-implemented techniques for repeatable and interpretable divisive analysis. In one embodiment, for example, a method comprises: identifying top-level cohorts of data items based on one or more characteristics of the data items in common; recursively or iteratively dividing a selected top-level cohort in a top-down manner resulting in a plurality of sub-level cohorts arranged in a hierarchy; detecting a particular data item that is a statistical outlier among data items of a leaf cohort in the hierarchy; and causing display of an indication in a computer user interface that the particular data item is an outlier.

Abstract: A dual-purpose Oral Appliances having smart sensors and control module for treating sleep apnea and simultaneously straightening the teeth or reducing the bruxism or reducing the TMJ disorder are disclosed. The appliance contains upper and or lower teeth trays with or without air passageway. The appliance can be with or without external housing. The episodes of sleep apnea are reducing by one or combination of several mechanisms such as mandibular advancement (MAD), air stimulation by control of inhaled air flow bypassing the tongue and or micro-holes in air passageways, neuro/muscle electric stimulation of tongue and sleep position training. The sensors located inside or outside of the mouth, measure physiological and or biological and or chemical aspects of the patients. The sensors are connected to control module system consists of battery, microprocessor, and data transmission technologies.

Abstract: An electronic control unit configured to control at least one motor used to reposition a seat assembly within an automotive vehicle. The electronic control unit comprises a mode manager configured to reposition the seat assembly from a first position to a second position and a performance evaluation module configured to monitor the repositioning of the seat assembly. The performance evaluation module detects and compensates for abrupt stops in the at least one motor.