Sungkyunkwan University

Ik Jun Yeom

Yu Sung Kim

Dong Hyeok An

Hong Uk Woo

Young Hoon Kim

Gwang Pyo Yoo

Min Jong Yoo

Young Seok Lee

Jeong Hwan Choi

Chan Gue Jung

Su Hwan Kim

Min Jae Park

Seung Hwan Jeong

A wireless local area network (WLAN) communication method and apparatus using multiple transmission speed partitioning and cooperative transmission are disclosed. The WLAN communication method includes transmitting, by access point to the nodes, transmission time slots, partitions and internal transmission priorities using transmission time slot information, partition information and internal transmission priority information, receiving uplink packet from one node, determining whether downlink data to be transmitted to the high speed or the low speed node is present, or not in the download queue, transmitting, if present, the downlink packet to the nodes, removing downlink data from the download queue for ACK, and transmitting, if not present, transmitting ACK to the nodes.

Fast wireless local area network communication method and apparatus using multiple transfer rate partitioning and cooperative transmission

A reinforcement learning-based sensor data management system includes a processor configured to: manage virtualized objects that correspond to sensors included in a sensor network to update data received from each sensor and queries representing a data quality requested by an application; calculate an abstracted action that abstracts a size of an action space of the sensor network based on present state information of the virtualized objects and the queries; calculate scores for virtualized objects based on position relationships between the calculated abstracted action the virtualized objects; and assign priorities to the virtualized objects based on the calculated scores to update data received from the sensors to the virtualized objects according to the priorities.

Reinforcement learning-based sensor data management method and system

The disclosure relates to a method and device for inputting and outputting packets inside a GPU based on a commodity Ethernet device. According to embodiments of the disclosure, a method for commodity Ethernet device-based graphic processing unit (GPU) internal packet input/output performed by a GPU internal packet input/output device comprises being allocated an available packet buffer from a memory pool inside a GPU, after packets received from a network interface controller (NIC) are directly transferred to the allocated packet buffer, processing the directly transferred packets through a reception (Rx) kernel, transmitting a transmission packet to a network through the NIC according to an operation of a transmission (Tx) kernel, and returning the allocated packet buffer.

GPU-native packet I/O method and apparatus for GPU application on commodity ethernet

The present invention provides a graph embedding-based virtual network mapping method including inputting a virtual network and a substrate network corresponding to a virtual network mapping scenario, in an optimized mapping mode, generating an embedding value for every substrate node by applying a graph convolution network (GCN), by a network encoder, to embed the virtual network, determining whether a difference between an embedding value for every substrate node and an embedding value for every previous substrate node which is previously embedded exceeds a set threshold, by a network decoder, and mapping an allocation node of the virtual network to a mapping node of a previous substrate network which is previously mapped according to an embedding value for every previous substrate node when the difference value does not exceed the threshold value, by the network decoder.

Graph embedding-based virtual network mapping method

Disclosed herein are a method and apparatus for delivering user-assisted multimedia data using periodic multicast, which provide stable high-capacity Video-On-Demand (VOD) streaming service by proposing a user-assisted video transfer scheme capable of replacing a client-server configuration in providing high-capacity VOD streaming service.

Growing community of inventors

Suwon-si, South Korea

Ik Jun Yeom