公开(公告)号：US20140111183A1

公开(公告)日：2014-04-24

申请号：US14059032

申请日：2013-10-21

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： SungIk JUN ,  Baik Song AN ,  Byeong Thaek OH ,  Young Choon WOO ,  Wan CHOI

IPC: G01R21/00

CPC classification number: G01R21/00 ,  G01R21/133

Abstract: An apparatus and method for measuring power using a sensing tag are provided. The power measuring apparatus includes a power sensing tag and a power measurement control system. The power sensing tag is installed in a line along which power is supplied to a load of a target device, and measures power consumed by the load. The power measurement control system receives power information measured by the power sensing tag from the power sensing tag, and determines power consumed by the load by using the measured power information.

Abstract translation: 提供了一种使用感测标签测量功率的装置和方法。 功率测量装置包括功率检测标签和功率测量控制系统。 功率检测标签安装在向目标设备的负载供电的线路中，并且测量负载所消耗的功率。 功率测量控制系统从功率检测标签接收由功率检测标签测量的功率信息，并且通过使用所测量的功率信息来确定负载所消耗的功率。

公开(公告)号：US20210216495A1

公开(公告)日：2021-07-15

申请号：US17216322

申请日：2021-03-29

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Shin-Young AHN ,  Eun-Ji LIM ,  Yong-Seok CHOI ,  Young-Choon WOO ,  Wan CHOI

IPC: G06F15/173 ,  G06N3/08 ,  H04L29/08 ,  G06F9/50

Abstract: Disclosed herein are a parameter server and a method for sharing distributed deep-learning parameters using the parameter server. The method for sharing distributed deep-learning parameters using the parameter server includes initializing a global weight parameter in response to an initialization request by a master process; performing an update by receiving a learned local gradient parameter from the worker process, which performs deep-learning training after updating a local weight parameter using the global weight parameter; accumulating the gradient parameters in response to a request by the master process; and performing an update by receiving the global weight parameter from the master process that calculates the global weight parameter using the accumulated gradient parameters of the one or more worker processes.

公开(公告)号：US20180349313A1

公开(公告)日：2018-12-06

申请号：US15984262

申请日：2018-05-18

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Shin-Young AHN ,  Eun-Ji LIM ,  Yong-Seok CHOI ,  Young-Choon WOO ,  Wan CHOI

IPC: G06F15/173 ,  H04L29/08 ,  G06N3/08

Abstract: Disclosed herein are a parameter server and a method for sharing distributed deep-learning parameters using the parameter server. The method for sharing distributed deep-learning parameters using the parameter server includes initializing a global weight parameter in response to an initialization request by a master process; performing an update by receiving a learned local gradient parameter from the worker process, which performs deep-learning training after updating a local weight parameter using the global weight parameter; accumulating the gradient parameters in response to a request by the master process; and performing an update by receiving the global weight parameter from the master process that calculates the global weight parameter using the accumulated gradient parameters of the one or more worker processes.

公开(公告)号：US20170139738A1

公开(公告)日：2017-05-18

申请号：US15354651

申请日：2016-11-17

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Dae-Won KIM ,  Sun-Wook KIM ,  Jong-Bae MOON ,  Myeong-Hoon OH ,  Byeong-Thaek OH ,  Soo-Cheol OH ,  Seong-Woon KIM ,  Ji-Hyeok CHOI ,  Hag-Young KIM ,  Wan CHOI

IPC: G06F9/455 ,  G06F9/44

Abstract: Disclosed herein are a method and apparatus for virtual desktop service. The apparatus includes a connection manager configured to perform an assignment task of assigning a virtual machine to a user terminal using virtual desktop service, a resource pool configured to allocate software resources to a virtual desktop, wherein the software resources include an OS, applications, and user profiles, and a virtual machine infrastructure configured to support hardware resources including a CPU and a memory, wherein the connection manager is configured to perform a coordination task of coordinating a delivery protocol used between the user terminal and servers that provide the virtual desktop service, wherein the resource pool has a management function, wherein the management function is based on usage pattern information about a user's average usage of resources, and wherein the management function uses a physical distance on network from the user terminal to a server.