Abstract: Apparatuses, methods, and systems are disclosed for reporting transmission for discontinuous reception. One method includes determining whether a symbol occurs within a discontinuous reception on duration time period. The method includes, in response to determining that the symbol occurs within the discontinuous reception on duration time period, determining whether to transmit a report. The method includes transmitting the report regardless of whether a discontinuous reception on duration timer is running.

Abstract: A method and apparatus are disclosed. In an example from the perspective of a first device configured to discontinuously monitor one or more sidelink control channels, the first device performs a first sidelink transmission to a second device. In response to the first sidelink transmission, the first device starts or restarts a timer. The first device monitors a first sidelink control channel, from at least the second device, when the timer is running.

Abstract: In one embodiment, a device in a network receives a machine learning encoder and decoder trained by a supervisory service. The service trains the encoder and decoder using vibration measurement data sent to the service by a plurality of devices. The device trains, based on the received encoder, a classifier to determine whether vibration measurement data is indicative of a behavioral anomaly. The device receives vibration measurement data captured by a particular set of one or more vibration sensors of a monitored system. The device evaluates, using the trained decoder, the received vibration measurement data to determine whether the data is indicative of a structural anomaly in the monitored system. The device evaluates, using the trained classifier, the received vibration measurement data to determine whether the data is indicative of a behavioral anomaly in the monitored system.

Abstract: A method and a device for signal transmission are provided, the method comprising: a terminal device determining a QCL relationship between a paging related signal and an energy saving signal, wherein the paging related signal comprises a physical downlink control channel (PDCCH) for scheduling a paging message and/or a physical downlink shared channel (PDSCH) carrying the paging message; and the terminal device receiving the energy saving signal on the basis of the QCL relationship, or the terminal device receiving the paging related signal on the basis of the QCL relationship.

Abstract: An arithmetic processing apparatus, includes a memory; and a processor coupled to the memory and the processor configured to: estimate an optical flow between consecutive frames of a moving image, and generate a sound wave corresponding to a target moving image, based on an optical flow estimated for the target moving image, and a deep neural network that generates a sound wave corresponding to an input optical flow and that has performed learning, by associating with time, an optical flow estimated for a moving image with sound wave and a sound wave of the moving image with sound wave.

Abstract: It is disclosed a method for managing a PDU session in a wireless communication system and an apparatus for supporting the same. Particularly, a method for performing handover of a User Equipment (UE) performed by a source Radio Access Network (RAN) that includes a processor, a memory and a communication module in a wireless communication system may include determining to initiate handover to a target RAN; and transmitting a Handover Required message to a source Access and Mobility Management Function (AMF), and the handover is a handover in a case that there is no interface between the RANs or AMF change is required, and the Handover Required message includes a PDU session Identifier (ID) of an activated Protocol Data Unit (PDU) session.

Abstract: A method of updating a PDU session and a network-side device are provided. The method includes: after a User Equipment UE moves across PLMNs or across systems, determining that the UE has a first PDU session of which an anchor SMF is not in a current PLMN; determining a Session Management Function V-SMF in a Visited Public Land Mobile Network VPLMN for the first PDU session, and updating the first PDN session by using the V-SMF.

Abstract: Provided is a machine learning-based semiconductor manufacturing yield prediction system and method. A result prediction method according to an embodiment of the present invention comprises: learning different neural network models by classifying different types of data according to their types and respectively inputting the classified different types of data to the different neural network models; and predicting result values by classifying input data according to their types and respectively inputting the classified input data to different neural network models. Therefore, it is possible to apply different neural network models to respective data according to their types, thereby ensuring a neural network model having a structure appropriate for the characteristics of each type of data and thus accurately predicting a result value.

Abstract: Interacting between users of mobile devices is provided by initiating a desired interaction at a first user device using a gesture sensed by the first user device, determining a gesture area, submitting a desired interaction request for interaction with associated users within the gesture area, and sending a notification to user devices indicating the desired interaction of the first user with one or more users of a local subset, wherein the notification identifies the first user with an identifier independent of identifiers used by the first user outside of interactions with a remote server.

Abstract: Certain aspects of the present disclosure relate to techniques for secondary cell (SCell) configuration signaling and activation procedures. For example, certain aspects provide a method for activating at a user equipment one or more secondary cells of a target base station. The method includes transmitting a measurement report for the one or more secondary cells. The method includes receiving secondary cell activation information for the user equipment from the target base station prior to completion of connection of the user equipment to the target base station, wherein the secondary cell activation information indicates the one or more secondary cells. The method includes activating the one or more secondary cells at the user equipment after completion of connection to the target base station.

Abstract: A system for acquiring three-dimensional (3-D) models of objects includes a first camera group including: a first plurality of depth cameras having overlapping fields of view; a first processor; and a first memory storing instructions that, when executed by the first processor, cause the first processor to: control the first depth cameras to simultaneously capture a first group of images of a first portion of a first object; compute a partial 3-D model representing the first portion of the first object; and detect defects in the first object based on the partial 3-D model representing the first portion of the first object.

Abstract: A user equipment (UE) configured to establish a multimedia data stream with a further UE, identify a predetermined condition, wherein the predetermined condition indicates a decrease in quality of the multimedia data stream at the further UE and implement a mechanism to mitigate the degradation of the decrease in quality of the multimedia data stream at the further UE.

Abstract: Disclosed are methods, systems, devices, servers, apparatus, computer-/processor-readable media, and other implementations, including a method that includes: establishing an emergency call session between a wireless device and a public safety answering point (PSAP) server, via a first communication link, in response to an emergency indication provided by the wireless device; and sending location information indicating a location of the wireless device to the PSAP server via a second communication link, the location information indicating the location of the wireless device and being associated with the emergency call session; where the first communication link is different from the second communication link.

Abstract: In a geographic area with limited satellite coverage, multiple signal sources are statically disposed along a path through the geographic area. To automatically determine geographic positions of the signal sources, signal data collected by a receiver moving along the path is received, where the signal data indicates changes, over a period of time, in strength of respective signals emitted by the signal sources. Indications of a first position of the receiver at a first time prior to entering the geographic area and a second position of the receiver at a second time subsequent to leaving the geographic area are received, and positions for the signal sources are determined using the received signal data and the received indications of the positions and the times. The determined positions for the signal sources are used to geoposition a device moving along the path.

Abstract: Some embodiments of the present disclosure provide a neural network location classifier that is designed and trained in accordance with a hierarchical architecture, thereby producing a hierarchical neural network location classifier. Further embodiments relate to obtaining, through use of the hierarchical neural network location classifier, an inferred hierarchical label for a user equipment location. The inferred hierarchical label may then be decoded to obtain a location.

Abstract: An allocation method of communication resources is use with at least a user mobile device, at least first and second wireless network access point devices, and a base station device for mobile communication. In the allocation method, the base station device receives a registration request from the user mobile device; and the base station device determines an order of the first and second wireless network access point devices for the user mobile device to register in according to intensities of signals of the first and second wireless network access point devices, which are measured by the user mobile device, and counts of user mobile devices having registered in the first and second wireless network access point devices, respectively.

Abstract: A system comprises an integrated small cell and WiFi (ISW) gateway (GW). The ISW GW is integrated with a mobility management entity (MME) and serving gateway (SGW) and has interfaces with both a 3GPP access network and a TWAN. The ISW GW operates as a common control gateway and a common user gateway for both LTE networks and TWANs. User equipment (UE) by means of the ISW GW is able to access the capabilities of a packet data network (PDN) through either the LTE network or TWAN. Further, the ISW GW provides for an existing communication connection between a UE and a PDN to be handed over from one of the LTE network or TWAN to the other. Still further, the ISW GW supports simultaneously maintaining two communication paths, one via the LTE network and one via the TWAN, between a UE and a packet network.

Abstract: A system and a method for multimedia data analysis. The system includes a computing device. The computer device includes a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: encode task description and task meta info into concatenated task vectors; encode context text and context meta info into concatenated context text vectors; encode context image and the context meta info into concatenated context image vectors; perform dual coattention on the concatenated task vectors and the concatenated context text and image vectors to obtain attended task vectors and attended context vectors; perform BiLSTM on the attended task vectors and the attended context vectors to obtain task encoding and context encoding; and decode the task encoding and the context encoding to obtain an answer to the task.

Abstract: A core provider predicts that a device will enter an area of poor coverage by a wireless network provider. Based on the prediction, one or more rules are applied to prioritize data traffic to be received prior to entering the area of poor coverage. The prediction that the device will enter the area of poor coverage may be based on cell coverage data received from the wireless network provider, connection quality data received from other devices, a location of the device, a speed of the device, a direction of the device, or any suitable combination thereof. A route of the device may be changed to avoid or minimize an amount of time in the area of poor coverage. As another alternative, the device may be switched from the wireless network provider to another wireless network with better coverage.

Abstract: Systems, methods and computer software are disclosed for providing a bubble network are described. In one embodiment, a method is disclosed including providing an isolated base station having a coverage area, providing a local HetNet Gateway (HNG) disposed within the coverage area and in communication with the isolated base station, providing a local Evolved Packet Core (EPC) in communication with the local HNG and disposed within the coverage area, and wherein the bubble network is disconnected from a mobile operator core network.