Lg Electronics Inc.

Samsung Sds Co., Ltd.

Neofidelity, Inc.

Sungil Kim

Jonghwan Kim

Taejin Lee

Wooseok Ko

Ilkon Kim

Taejoo Kim

Wonjung Doo

Sungjin Kwon

Kyuho Choi

Kwangho Eom

Yeongha Choi

Sundeuk Kim

Hyuntaek Oh

Minsoo Kim

Seokil Jeong

According to an embodiment, a method for recognizing a user's face using an intelligent electronic device comprises obtaining a face area from the user's face captured and obtaining face information from the face area, comparing the obtained face information with a default cluster, selecting whether to extract a face vector from the face information according to a result of the comparison, determining an age variation state for the user's face based on the extracted face vector, and upon determining that the face vector is in the age variation state for the user's face, extracting a face feature vector from the face vector and configuring an expanded cluster by adding the face feature vector to the default cluster. According to the disclosure, the intelligent electronic device may be related to artificial intelligence (AI) modules, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

Method for recognizing face using intelligent electronic device

A mobile terminal is presented. The mobile terminal includes a display module, a short-range communication module configured to perform short-range communication, and a controller configured to search for at least one device available for short-range communication via the short-range communication module, acquire location information of the at least one searched other electronic device, and display the at least one searched electronic device reflecting the acquired location information on the display module.

Electronic device and control method thereof

Provided are a system and method for detecting and predicting anomalies based on analysis of time-series data. According to an embodiment of the present disclosure, an abnormality detecting and predicting system includes a database configured to store past case data related to a state of a monitored object; a data collector configured to collect time-series status information of the monitored object; an abnormality detector configured to compare the status information with an abnormality detecting reference in a preset detecting interval and detect an occurrence of an abnormality of the monitored object; a similar case selector configured to select a similar case having a highest degree of similarity to the status information among the past case data when the occurrence of an abnormality is detected by the abnormality detector; and a predictor configured to predict proliferation or diminishing of a detected abnormality using the similar case and an abnormality proliferation predicting reference.

System and method for detecting and predicting anomalies based on analysis of time-series data

A switching device of a digital amplifier and a method for controlling the same are disclosed. In accordance with the present invention, a linearity is maintain even for a short pulse width since a data signal having a pulse width shorter than a predetermined length. Moreover, when an MLP signal is located at both sides of a compensating signal without overlapping with each other, a problem due to a common mode may be prevented.

Switching device of digital amplifier and method for driving the same

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Seoul, South Korea

Sungil Kim