Abstract:
Provided herein are an acceleration system and a driving method thereof. The acceleration system includes a configuration memory, and a plurality of processing units which receive works from the configuration memory, perform the received works, and output results of the performed works. Each of the processing units include an n (n is an integer of three or more) number of processing elements which generate an n number of results, and each of which receives one of the works, and a select module which selects, using a majority-vote system, one of the n number of generated results and generates a selected result.
Abstract:
A cost-cognitive base station apparatus, a cost-cognitive user terminal, and a cost-cognitive network method, in which by recognizing costs based on network congestion, a user may select and receive appropriate network services, thereby reducing telecommunication expenses and inducing the user to a less congested network, which leads to improved network management efficiency.
Abstract:
The present invention relates to smart glasses, and the smart glasses include: a frame mounted with lens; a pair of temples extended in one direction from both side ends of the frame so as to face each other; a rear camera mounted at an end of the temple and configured to photograph a rear image of a wearer; a display unit installed at one side of the lens and configured to display the rear image photographed by the rear camera; and a control device configured to control an operation of each of the constituent elements, thereby enabling a user to check a situation in the rear view without turning his/her head.
Abstract:
Disclosed herein are a neural network fusion apparatus and a modular neural network fusion method and a matching interface generation method of the neural network fusion apparatus. The modular neural network fusion method in a neural network fusion apparatus includes collecting meta-information of a first neural network and a second neural network, connecting a matching module between the first neural network and the second neural network using the collected meta-information so that output data of the first neural network matches input data of the second neural network, and executing a neural network interworking service for obtaining output data of the second neural network from input data of the first neural network through the first and second neural networks connected to each other via the matching module.
Abstract:
An apparatus and a method for managing instant connection based on a wireless local area network are provided. The method includes: creating, by an accessed terminal, connection information required for setting connection therewith; creating, by the accessed terminal, a management frame by using the connection information; transmitting, by the accessed terminal, the created management frame to a peripheral terminal; receiving, by the peripheral terminal, the management frame and extracting connection information from the received management frame; and setting, by the peripheral terminal, connection with the accessed terminal by accessing the accessed terminal by using the extracted connection information to rapidly access a desired terminal without performing a device discovery process.
Abstract:
There is provided a heterogeneous computing method. A heterogeneous computing method includes performing offline learning on an algorithm using compilations and runtimes of application programs, executing a first application program in a mobile device, distributing a workload to a central processing unit (CPU) and a graphic processing unit (GPU) in the first application program, using the algorithm, performing online learning to reset the workload distributed to the CPU and GPU in the first application program, and resetting the workload distributed to the CPU and GPU in the first application program, corresponding to a result of the online learning.