Abstract: Techniques for determining a network health score for a network are disclosed. In one embodiment, a method is disclosed comprising obtaining network data associated with one or more user equipments (UEs) connected to a network, generating UE data for the one or more UEs using the network data, the generating comprising assigning each UE to a UE category from a set of UE categories, determining a set of UE category weights corresponding to the set of UE categories using the network data, determining at least one network health score for the one or more UEs using the network data, the generated UE data and the set of UE category weights and causing performance or at least one action in accordance with the determined at least one network health score.

Abstract: Systems and methods of dynamic IoT device regulation and control can aid in shifting a user's emotional state from a first state of mind to a preferred second state of mind, using the user's biomarker response to device settings. Particularly, an IoT device controller may be embedded within a wearable device that is wirelessly connected to a computing device and one or more IoT devices. Initially, each wearable device can be calibrated, wherein a matrix of sensed user biomarker responses can be generated. In some embodiments, the system continuously monitors user biomarkers to detect which physiological state exists. When the user enters into the first physiological/psychological state, the system can adjust each IoT device to align with the second state. When the system detects that the user biomarker response has not shifted, the system can continuously adjust IoT settings based upon a learning algorithm having monitored user biomarkers as input.

Abstract: In embodiments, an electronic device may include a housing, a display panel, and an optical sensor module. The display panel is disposed in an inner space of the housing and is at least partially visible from an outside through the housing, the display including a display area, a first non-display area disposed adjacent to at least a peripheral portion of the display area, and a second non-display area disposed adjacent to at least a peripheral portion of the first non-display area. The optical sensor module is disposed in the inner space at least partially overlapping the display panel, and includes a flexible printed circuit board (FPCB), a light emitting structure disposed on the FPCB at least partially overlapping the first non-display area when the display panel is viewed from above, and a light receiving structure disposed on the FPCB at least partially overlapping the display area when the display panel is viewed from above.

Abstract: An electronic device is provided. The electronic device includes a communication circuit, a memory, and a processor configured to identify an occurrence of a conference event for establishing a conference call in which a plurality of external electronic devices participate, identify whether at least one of the plurality of external electronic devices is anonymous, generate an identification key to be mutually shared by a pair of an anonymous electronic device among the plurality of external electronic devices and the electronic device and transmit the identification key to the anonymous electronic device through the communication circuit when the at least one of the plurality of external electronic devices is anonymous, and generate the conference call in which the plurality of external electronic devices participate.

Abstract: In one embodiment, a first path computation element (PCE) receives a request from a gateway for service chain functions (SFs) to be applied to a traffic flow, wherein a first subset of the SFs is located in a first zone. The first PCE identifies a boundary node located at a border between the first zone and a second zone where a second subset of the SFs are located. The first PCE sends a response to the gateway indicating a path within the first zone between the gateway and the boundary node to apply the first subset of SFs to the flow. The first PCE provides information regarding the flow and the boundary node to a second PCE that uses the information to configure the boundary node to route the flow in the second zone to apply the second subset of SFs to the flow.

Abstract: Techniques are described for linked blockchains that allow computing devices to access information from an acceptance blockchain about acceptance reports stored in an enterprise delivery blockchain that are also linked to a product blockchain that stores information of the products of the acceptance reports. An acceptance report is indicative of operability of a product in a service provided by a service provider. A processor is configured to access the block in the enterprise delivery blockchain, retrieve the acceptance report from the block in the enterprise delivery blockchain, determine an identifier, identified in the block in the enterprise delivery blockchain, to a block in an acceptance blockchain, access the block in the acceptance blockchain via the determined identifier, retrieve from the block in the acceptance blockchain contextual information of the acceptance report, and output the acceptance report and contextual information of the acceptance report.

Abstract: A method for protecting a power system having inverter-interfaced renewable energy sources is provided. The power system includes an inverter and a control system. The control system includes a current controller including a saturation limiter and a proportional and integral (PI) controller, a phase-locked system, and a low-voltage ride-through (LVRT)control unit. The method includes: by using a Park transformation matrix, determining an output voltage of the inverter; determining a modulated voltage of the output voltage; upon detecting a grid fault, obtaining current references by the LVRT control unit; determining a fault current in a first stage of a transient phase of the grid fault; determining a fault current in a second stage of the transient phase; determining a fault current in a third stage of the transient phase; and switching the control system to a fault control mode by tracking the fault currents in the first, second and third stages, to the current references.

Abstract: A direct speech-to-speech translation (S2ST) model includes an encoder configured to receive an input speech representation that to an utterance spoken by a source speaker in a first language and encode the input speech representation into a hidden feature representation. The S2ST model also includes an attention module configured to generate a context vector that attends to the hidden representation encoded by the encoder. The S2ST model also includes a decoder configured to receive the context vector generated by the attention module and predict a phoneme representation that corresponds to a translation of the utterance in a second different language. The S2ST model also includes a synthesizer configured to receive the context vector and the phoneme representation and generate a translated synthesized speech representation that corresponds to a translation of the utterance spoken in the different second language.

Abstract: A liquid crystal display device includes a first substrate, a second substrate located closer to an observer than the first substrate, and a liquid crystal layer provided between the first substrate and the second substrate, and performs display in a twisted vertical alignment mode. Each pixel includes a reflective region where display is performed in a reflection mode. The first substrate includes a reflective electrode including a portion located in the reflective region, and a first vertical alignment film. The second substrate includes a second vertical alignment film. The liquid crystal layer includes a liquid crystal material having negative dielectric anisotropy, and a chiral agent. The reflective electrode includes silver or a silver alloy. The reflective region includes a plurality of liquid crystal domains in which reference alignment azimuths of liquid crystal molecules are different from each other.

Abstract: A non-transitory computer readable storage medium has instructions executed by a processor to invoke an image processing module to ingest a digital invoice. An evaluation module derives metrics from the digital invoice. A semantic document processing module forms entity extracts from the digital invoice, where each entity extract from the digital invoice has a potential mapping to a trained machine learning model element. An entity extraction correction module overrides the potential mapping to the trained machine learning model element when user feedback from a similar entity extract from a previously processed digital invoice exists to produce a processed digital invoice with a user feedback element inconsistent with the potential mapping to the trained machine learning model element. The processed digital invoice is delivered to an accounting module for final disposition of the digital invoice.

Abstract: A display apparatus includes display panel including a pixel array in which pixels, each of which including a plurality of inorganic light emitting elements, are disposed in a plurality of row lines, and sub pixel circuits corresponding to inorganic light emitting elements of the pixel array, a driving unit configured to set an image data voltage sequentially to the sub pixel circuits based on a first driving voltage, and drive the sub pixel circuits so that a driving current corresponding to the set image data voltage is provided sequentially to the inorganic light emitting elements of the pixel array based on a second driving voltage; a sensing unit configured to sense a current flowing through a driving transistor included in each of the sub pixel circuits based on a specific voltage which is applied to the sub pixel circuits, and output sensing data corresponding to the sensed current; and a correction unit configured to correct an image data voltage to be applied to each of the sub pixel circuits based o

Abstract: Disclosed embodiments provide techniques to identify the in-context meanings of natural language in order to decipher the evolution or creation of new vocabulary words and create a more holistic user experience. Thus, disclosed embodiments improve the technical field of digital content comprehension. In embodiments, machine learning is used to identify sentiment of text, perform entity detection to determine topics of text, and/or perform image analysis on images used in digital content. Words, symbols, and images that are determined to be potentially unfamiliar to a user are augmented with a supplemental definition indication. Invoking the supplemental definition indication enables rendering of additional definition information for the user. This serves to accelerate understanding of digital content such as webpages and social media posts.