Abstract: An artificial intelligence-based system and method for scalable screening of individuals for respiratory infection, such as COVID-19. The system is trained to distinguish distinct latent features of cough sounds produced by a COVID-19 infected person from cough sounds produced by patients suffering from any other respiratory infection or involuntary cough sounds produced by a healthy person. Cough sound samples from individuals can be remotely collected and evaluated by the system for likelihood of the COVID-19 infection. Additionally, images of affected body parts, biomarkers, metadata, and other respiratory sound samples can also be used for screening.

Abstract: An apparatus comprises: a memory; and a processor coupled to the memory and configured to: build a prediction model that predicts next cells of UEs in a future time step of a mobile network; map the next cells to future user locations; determine future loads of BSs in the mobile network based on the future user locations; determine an optimization of the mobile network using the future loads; and implement the optimization by instructing the BSs to adjust a parameter in the future time step.

Abstract: Systems and methods for improving cellular handover performance are provided. A user individual offset parameter (UIO) is provided which may modify a measured signal strength parameter for a particular user equipment, improving handover performance. The UIO may be calculated and optimized such that one or more key performance indicators including signal to interference and noise ratio, handover success rate, and signaling overhead are maximized. A base station may compute or retrieve the value of a UIO for a particular user equipment, and adjust a measured signal strength and quality metric using the UIO. The UIO may be calculated either by the user equipment, the base station, or the core network.

Abstract: A host controller for a distributed wireless local area network (WLAN) includes: a communications interface connected to each of a set of wireless access points (APs); a memory storing (i) identifiers of each of the wireless access points, and (ii) a master identifier of the host controller; and a processor configured to: receive a notification, from a first one of the APs, that the first AP has completed an association with a client device; in response to receiving the notification: deploy association data, including an identifier of the client device, to each of the APs; initiate a handshake mechanism with the client device, via a selected one of the APs, to generate an encryption key; and provide the encryption key to each or the APs to enable data exchange between the client device and each of the APs.

Abstract: The present invention relates to a novel naphthyridinone derivative compound, a pharmaceutically acceptable salt thereof, a hydrate thereof, or a stereoisomer thereof, which are each relevant to a compound for inhibiting ENPP1, a composition for inhibiting ENPP1, and a method for inhibiting ENPP1.

Abstract: The present invention relates to a novel benzotriazole derivative compound, a tautomer thereof, a pharmaceutically acceptable salt thereof, a hydrate thereof, or a stereoisomer thereof, which are related to a compound for inhibiting ENPP1, a composition for inhibiting ENPP1, and a method for inhibiting ENPP1.

Abstract: A host controller for a distributed wireless local area network (WLAN) includes: a communications interface connected to each of a set of wireless access points (APs); a memory storing (i) identifiers of each of the wireless access points, and (ii) a master identifier of the host controller; and a processor configured to: receive a notification, from a first one of the APs, that the first AP has completed an association with a client device; in response to receiving the notification: deploy association data, including an identifier of the client device, to each of the APs; initiate a handshake mechanism with the client device, via a selected one of the APs, to generate an encryption key; and provide the encryption key to each or the APs to enable data exchange between the client device and each of the APs.

Abstract: A host controller for a distributed wireless local area network (WLAN) includes: a communications interface connected to each of a set of wireless access points (APs); a memory storing (i) identifiers of each of the wireless access points, and (ii) a master identifier of the host controller; and a processor configured to: receive a notification, from a first one of the APs, that the first AP has completed an association with a client device; in response to receiving the notification: deploy association data, including an identifier of the client device, to each of the APs; initiate a handshake mechanism with the client device, via a selected one of the APs, to generate an encryption key; and provide the encryption key to each or the APs to enable data exchange between the client device and each of the APs.

Abstract: An apparatus comprises: a memory; and a processor coupled to the memory and configured to: build a prediction model that predicts next cells of UEs in a future time step of a mobile network; map the next cells to future user locations; determine future loads of BSs in the mobile network based on the future user locations; determine an optimization of the mobile network using the future loads; and implement the optimization by instructing the BSs to adjust a parameter in the future time step.

Abstract: An artificial intelligence-based system and method for scalable screening of individuals for respiratory infection, such as COVID-19. The system is trained to distinguish distinct latent features of cough sounds produced by a COVID-19 infected person from cough sounds produced by patients suffering from any other respiratory infection or involuntary cough sounds produced by a healthy person. Cough sound samples from individuals can be remotely collected and evaluated by the system for likelihood of the COVID-19 infection. Additionally, images of affected body parts, biomarkers, metadata, and other respiratory sound samples can also be used for screening.

Abstract: An artificial intelligence-based system and method for scalable screening of individuals for respiratory infection, such as COVID-19. The system is trained to distinguish distinct latent features of cough sounds produced by a COVID-19 infected person from cough sounds produced by patients suffering from any other respiratory infection or involuntary cough sounds produced by a healthy person. Cough sound samples from individuals can be remotely collected and evaluated by the system for likelihood of the COVID-19 infection. Additionally, images of affected body parts, biomarkers, metadata, and other respiratory sound samples can also be used for screening.

Abstract: A host controller for a distributed wireless local area network (WLAN) includes: a communications interface connected to each of a set of wireless access points (APs); a memory storing (i) identifiers of each of the wireless access points, and (ii) a master identifier of the host controller; and a processor configured to: receive a notification, from a first one of the APs, that the first AP has completed an association with a client device; in response to receiving the notification: deploy association data, including an identifier of the client device, to each of the APs; initiate a handshake mechanism with the client device, via a selected one of the APs, to generate an encryption key; and provide the encryption key to each or the APs to enable data exchange between the client device and each of the APs.

Abstract: A method comprises operating in an idle user state; determining to exit the idle user state and enter an active user state; obtaining cell loads of cells; calculating association functions based on the cell loads; determining, from among the association functions, a first association function with a maximum value; selecting a first cell associated with the first association function as a target cell; and entering the active user state by connecting to the first cell.

Abstract: Provided are a communication method based on a peak-to-average ratio (PAPR) and a transmission apparatus and a receive apparatus using the same and a communication method based on a peak-to-average ratio (PAPR) by a transmission apparatus according to an exemplary embodiment of the present disclosure includes: obtaining each of PAPR values corresponding to respective data symbols from a lookup table having a unique PAPR value; Generating a synchronization signal configured in a random sequence based on a the PAPR value of each data symbol; and transmitting the synchronization signal.

Abstract: A method comprises operating in an idle user state; determining to exit the idle user state and enter an active user state; obtaining cell loads of cells; calculating association functions based on the cell loads; determining, from among the association functions, a first association function with a maximum value; selecting a first cell associated with the first association function as a target cell; and entering the active user state by connecting to the first cell.

Abstract: Provided are a communication method based on a peak-to-average ratio (PAPR) and a transmission apparatus and a receive apparatus using the same and a communication method based on a peak-to-average ratio (PAPR) by a transmission apparatus according to an exemplary embodiment of the present disclosure includes: obtaining each of PAPR values corresponding to respective data symbols from a lookup table having a unique PAPR value; Generating a synchronization signal configured in a random sequence based on a the PAPR value of each data symbol; and transmitting the synchronization signal.

Abstract: Disclosed is a method of optimizing tilt angle of antennas of a plurality of cells in a wireless cellular system. The method comprising the steps of autonomously determining focal point of each cell of the plurality of cells whose angle of tilt is to be optimized; determining jointly optimal tilt values of the antennas of the plurality of cells based on the determined focal points; and configuring the tilt angle of the antennas of the plurality of cells based on said optimal tilt values.

Abstract: Disclosed is a method of optimizing tilt angle of antennas of a plurality of cells in a wireless cellular system. The method comprising the steps of autonomously determining focal point of each cell of the plurality of cells whose angle of tilt is to be optimized; determining jointly optimal tilt values of the antennas of the plurality of cells based on the determined focal points; and configuring the tilt angle of the antennas of the plurality of cells based on said optimal tilt values.