Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: A method, computer system, and computer program product for model selection for training a new dataset is provided. The present invention may include choosing a model from a set of models to be evaluated for training the new dataset, selecting a sample input from a subset of the new dataset, calculating a model activation score for each of the sample inputs in the chosen model, calculating an accumulated model activation score for the chosen model, depending on the model activation score of each of the sample inputs in the chosen model, calculating an accumulated model activation score for each model from the set of models to be evaluated for training the new dataset, and selecting the model for training the new dataset with the highest accumulated model activation score.

Abstract: Example methods are provided to perform disk assignment for multiple distributed computing clusters in a virtualized computing environment. The method may include determining whether disk assignment is required for a host to support a first virtualized computing instance from a first distributed computing cluster and a second virtualized computing instance from a second distributed computing cluster. The method may also include migrating first data placed on one or more second disks to one or more first disks, reassigning the one or more second disks from the first virtualized computing instance to the second virtualized computing instance, and placing second data on the one or more second disks. The first data may be for access by the first virtualized computing instance to execute a first distributed computing application, and the second data may be for access by the second virtualized computing instance to execute a second distributed computing application.

Abstract: Synchronization method and apparatus for a wireless wide band system in an interference environment. The method includes: obtaining interference information of a network; selecting at least one channel based at least in part on the interference information; and transmitting resource information through the at least one channel, wherein the resource information indicates a resource allocation determined at least in part on the interference information; and wherein a position of the at least one channel is indicated by a synchronization sequence. The present invention also provides another method and apparatus for synchronization.

Abstract: A method, system and computer program product for accelerating a deep neural network (DNN) in a field-programmable gate array (FPGA) are disclosed. The method includes receiving a DNN net file and weights, converting the received DNN net file to one or more source files, generating an executable FPGA bit file using the one or more source files, and downloading the executable FPGA bit file from the DNN conversion platform to the FPGA. Converting of the received DNN net file and the weights to the one or more source files can further include analyzing the DNN net file to identify a plurality of neural layers, decomposing one or more neural layers of the plurality of neural layers to one or more operation blocks, instantiating the one or more source files, based on the one or more operation blocks.

Abstract: Embodiments include methods and apparatuses for allocating computing elements in a data receiving link. Aspects include receiving baseband data in the data receiving link and allocating a computing element from a resource pool of computing elements for converting the baseband data to transmission block data.

Abstract: Example methods are provided to perform disk assignment for multiple distributed computing clusters in a virtualized computing environment. The method may include determining whether disk assignment is required for a host to support a first virtualized computing instance from a first distributed computing cluster and a second virtualized computing instance from a second distributed computing cluster. The method may also include migrating first data placed on one or more second disks to one or more first disks, reassigning the one or more second disks from the first virtualized computing instance to the second virtualized computing instance, and placing second data on the one or more second disks. The first data may be for access by the first virtualized computing instance to execute a first distributed computing application, and the second data may be for access by the second virtualized computing instance to execute a second distributed computing application.

Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: A radio unit configured to connect to a baseband processing unit includes a transformation unit configured to obtain uplink time domain signal data and transform the uplink time domain signal data into uplink frequency domain signal data; and a compression unit configured to compress the uplink frequency domain signal data by using a compression algorithm.

Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: The present invention relates to a wireless network, and more specifically, to a method and apparatus for partitioning a coordination area in a wireless network, the method comprising: obtaining antenna directions of respective cells, base station locations of respective cells, and scope of a coordination area within the wireless network; determining an initial coordination area based on the scope of the coordination area and the base station locations in respective cells; partitioning the initial coordination area into an inner area and an outer area; partitioning the outer area into an inward area and an outward area based on the antenna directions of cells within the outer area and the base station locations of cells within the outer area; and combining the inner area and the inward area within the outer area into a new coordination area. The method is simple and easy.

Abstract: An adaptive modulation coding method includes obtaining an estimated signal-to-interference-plus-noise ratio (SINR) and a packet error rate (PER) of a communication link of a user terminal; setting a first adjustment amount of the SINR of the communication link according to the PER of the communication link; calculating an effective SINR of the communication link according to the estimated SINR of the communication link and the first adjustment amount of the SINR of the communication link; and determining a modulation coding scheme of the communication link according to the effective SINR of the communication link.

Abstract: An adaptive modulation coding method includes obtaining an estimated signal-to-interference-plus-noise ratio (SINR) and a packet error rate (PER) of a communication link of a user terminal; setting a first adjustment amount of the SINR of the communication link according to the PER of the communication link; calculating an effective SINR of the communication link according to the estimated SINR of the communication link and the first adjustment amount of the SINR of the communication link; and determining a modulation coding scheme of the communication link according to the effective SINR of the communication link.

Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: A method comprises receiving a first received signal strength indicator (RSSI) of a first beacon in an array of beacons and receiving a second RSSI of a second beacon in an array of beacons, calculating a RSSI of the array (r) as a function of the first RSSI and the second RSSI, retrieving a calibrated RSSI value of the array (r?) from a memory, determining whether r>r?, and outputting a signal to a user device responsive to determining that r>r?.

Abstract: The present invention relates to a wireless network, and more specifically, to a method and apparatus for partitioning a coordination area in a wireless network, the method comprising: obtaining antenna directions of respective cells, base station locations of respective cells, and scope of a coordination area within the wireless network; determining an initial coordination area based on the scope of the coordination area and the base station locations in respective cells; partitioning the initial coordination area into an inner area and an outer area; partitioning the outer area into an inward area and an outward area based on the antenna directions of cells within the outer area and the base station locations of cells within the outer area; and combining the inner area and the inward area within the outer area into a new coordination area. The method is simple and easy.