Electronics and Telecommunications Research Institute

Anygen Co., Ltd.

Jae In Kim

Geun Yong Kim

Sung Chang Kim

Hark Yoo

Hee Do Kim

Dongsoo Lee

Dong Soo Lee

Ryang Soo Kim

Chor Won Kim

Byung Hee Son

Sang Kook Lee

Yong-Chul Kim

Moon Kyun Oh

Jung-Hoon Yoon

Gi Ha Yoon

Byung-Hee Son

Tae Sung Kim

Si Wouk Kim

Sang-Gun Ahn

Myoung Ju Moon

Disclosed is an adaptive deep learning inference system that adapts to changing network latency and executes deep learning model inference to ensure end-to-end data processing service latency when providing a deep learning inference service in a mobile edge computing (MEC) environment. An apparatus and method for providing a deep learning inference service performed in an MEC environment including a terminal device, a wireless access network, and an edge computing server are provided. The apparatus and method provide deep learning inference data having deterministic latency, which is fixed service latency, by adjusting service latency required to provide a deep learning inference result according to a change in latency of the wireless access network when at least one terminal device senses data and requests a deep learning inference service.

Adaptive deep learning inference apparatus and method in mobile edge computing

Provided are a system and method for providing a microservice-based device control interface. The system for providing a microservice-based device control interface includes a Docker registry server in which resources required for providing a device control interface are located and a gateway which receives and installs resources and provides a device control interface using a Docker-based microservice structure.

System and method for providing microservice-based device control interface

A terminal status monitoring apparatus connected to a terminal at an optical subscriber side in an optical network is provided. A signal transferring unit transfers a downlink optical signal to the terminal and receives, as a reflected optical signal, the downlink optical signal which is reflected at the terminal. A signal receiving unit measures an intensity of the reflected optical signal. A signal processing unit determines a connection status of a terminal device at the terminal by comparing an intensity of the downlink optical signal with the intensity of the reflected optical signal. A signal output unit outputs the connection status.

Apparatus and method for monitoring status of terminal

Disclosed are a method and system for determining and controlling power of an optical transmitter of an optical network unit (ONU) for a time and wavelength division multiplexing passive optical network (TWDM-PON). The system includes an RSSI collector configured to collect received signal strength indication (RSSI) information from upstream optical signals received from the ONUs connected to optical line terminal (OLT) ports, an ONU power level determiner configured to gather the pieces of RSSI information about the ONUs from the RSSI collector, and to determine power of optical transmitters of the ONUs based on the gathered information, and a power mode controller configured to receive power mode setting information of the optical transmitters of the ONUs from the ONU power level determiner, and to generate a physical layer operation and maintenance (PLOAM) message to control power modes of the ONUs based on the received power mode setting information.

Method and system for determining and controlling power of optical transmitter of optical network unit for time and wavelength division multiplexing passive optical network

Provided is an apparatus of recognizing optical connector connection including an IC tag connection unit configured to provide bus power and detect whether the optical connector is connected to an optical adapter, an IC tag configured to store an IC tag ID uniquely given to the optical connector, which is connected to a corresponding optical cable, and to receive the bus power to be driven for bus communication, and an IC tag ID obtaining unit configured to obtain the IC tag ID stored in the IC tag through the IC tag connection unit, when the optical connector is connected to the optical adapter.

Apparatus and method for recognizing optical connector connection

Disclosed is a smart remote node optical network node including an optical layer monitoring unit configured to transmit a monitoring light signal to an optical network unit through an optical switch and receive a monitoring light signal reflected from the optical network unit, an infra recognition unit configured to recognize whether an optical connector is connected to an output port of a remote node and an identification number of the optical connector when the optical connector is connected thereto, and a control unit connected to the optical layer monitoring unit and the infra recognition unit and configured to control recognition and monitoring operations of the remote node according to a remote node application.

Smart remote node optical network unit and operation method thereof

The present invention relates to an indirubin derivative having anticancer property by inhibiting cell proliferation as to human cancer cell line. More particularly, this invention provides the synthesis of indirubin derivative known as CDK(Cyclin-dependent kinase) inhibitor. Further, inhibition activity of proliferation as to human cancer cell line and apoptosis against induced-differentiation of said indirubin derivative are researched to develop a novel indirubin derivative having efficacious anticancer properties as to various human cell lines.

Indirubin derivatives having anticancer property against human cancer cell line

Growing community of inventors

Gwangju, South Korea

Jae In Kim