公开(公告)号：US20240103892A1

公开(公告)日：2024-03-28

申请号：US18462721

申请日：2023-09-07

Applicant: Korea Electronics Technology Institute

Inventor： In Pyo CHO ,  Sang Yub LEE ,  Jaekyu LEE ,  Ki Won KWON

IPC: G06F9/451 ,  G06F11/34

CPC classification number: G06F9/453 ,  G06F11/3495

Abstract: Proposed is a system for managing a multi-service for smart navigation aids based on microservice architecture. The system may include a smart navigation aid integrated platform, and a main operating system (OS) that operates on the smart navigation aid integrated platform. The system may also include a lightweight virtual OS manager based on a docker engine, which operates on the main OS, a plurality of lightweight virtual OSs that operate on a container basis by the lightweight virtual OS manager. The system may further include service applications that operate to correspond to the plurality of lightweight virtual OSs, respectively.

公开(公告)号：US20210042615A1

公开(公告)日：2021-02-11

申请号：US16537293

申请日：2019-08-09

Applicant: Korea Electronics Technology Institute

Inventor： Sang Yub LEE ,  Jae Jin KO ,  In Pyo CHO ,  Jae Kyu LEE

IPC: G06N3/063 ,  G06F12/02

Abstract: Provided are a system and method for managing a neuromorphic memory. The system includes a memory having a multi-dimensional lattice structure, a prescience estimator (PSE) configured to separately estimate memory use of two or more data sets and determine a sequence of inputting the two or more data sets to the memory, and a prescience manager (PSM) configured to allocate memory regions in which the two or more data sets will be stored according to estimation results of the PSE, store the data sets, and perform learning and inference.

公开(公告)号：US20240119203A1

公开(公告)日：2024-04-11

申请号：US18466271

申请日：2023-09-13

Applicant: Korea Electronics Technology Institute

Inventor： In Pyo CHO ,  Sang Yub LEE ,  Jaekyu LEE

IPC: G06F30/28 ,  G06F30/27

CPC classification number: G06F30/28 ,  G06F30/27

Abstract: Proposed is a continuous result collection system of license-independent computational fluid dynamics (CFD) simulation and data-driven machine learning for hybrid modeling. The continuous result collection system may include a user input processor configured to receive a 3D resource, a CFD simulation result, and structured data. The system may also include a framework processor configured to establish a database by accumulating data received from the user input processor and to perform hybrid modeling of the CFD simulation and a machine learning model.