Samsung Electronics Co., Ltd.

Lg Electronics Inc.

Mangoslab Co., Ltd.

Kwangyong Lee

Jangsun Yoo

Myeonggil Lee

Jihye Moon

Cheehwan Yang

Jaedeok Lim

Hyein Park

Jongmyung Kim

Hyun Joong Yu

Yejin Kim

Myoungjun Choi

Seungwoon Lee

Sumin Lee

Byeongha Kim

Dongwon Seo

Myoungkyu Lee

Jingyu Choi

Sunggeun Go

Taejune Kim

Moonhee Lee

Sang Bong Lee

Jiwon Lee

An electronic device may obtain a security rule for supporting split tunneling, check a condition for executing a first operation related to bypassing the VPN tunnel by comparing a first value to information based on a first offset in a first element of the packet based on the security rule, check a condition for performing a second operation related to bypassing the VPN tunnel by comparing a second value to information based on a second offset in a second element of the packet when the condition for executing the first operation is satisfied and the first operation instructs that the second element of the packet be inspected, encapsulate the packet while not including the packet in the VPN tunnel and transmit the encapsulated packet to a packet forwarding server, and include the packet in the VPN tunnel and transmit the packet to the packet forwarding server.

Method and device for split tunneling

According to an embodiment, an electronic device may comprise: a first housing structure comprising a first surface facing in a first direction, a second surface facing in a second direction opposite to the first direction, a first side surface and a second side surface facing opposite to each other and surrounding at least a part of the space between the first surface and the second surface, and a third side surface and a fourth side surface facing opposite to each other while being perpendicular to the first side surface; a second housing structure comprising a third surface facing in a third direction, a fourth surface facing in a fourth direction opposite to the third direction, a fifth side surface and a sixth side surface facing opposite to each other and surrounding at least a part of the space between the third surface and the fourth surface, and a seventh side surface and an eighth side surface facing opposite to each other while being perpendicular to the fifth side surface; a hinge structure connecting between the first side surface and the fifth side surface; a display disposed along at least a part of the third surface; at least one antenna disposed near the first side surface inside the first housing structure; and at least one wireless communication module configured to transmit and/or receive a signal in a selected or designated frequency band through the at least one antenna. Various other embodiments may be possible.

Electronic device including antenna

A voice processing method is disclosed. The voice processing method applies first and second sentence vectors extracted from first and second utterances, that are included in one dialog group and are separated from each other, to a learning model and generates an output from which at least one word having an overlapping meaning is removed. The voice processing method can be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Voice processing method based on artificial intelligence

An electronic device and a shielding film are disclosed herein. The electronic device includes a printed circuit board and at least one electrical component mounted on the printed circuit board. The shielding film is disposed on at least a part of the printed circuit board to block electromagnetic waves generated by the printed circuit board and/or the electronic component. The shielding film includes a plurality of layers, and is attached to at least part of the printed circuit board and contacting an upper side surface of the electronic component, wherein at least part of the shielding film includes a nano-conductive fiber and is electrically connected with a ground part of the printed circuit board through the nano-conductive fiber.

Shielding film including plurality of layers and electronic device using the same

In an embodiment, an electronic device may include a first cover covering an upper portion of a main body and containing a first antenna module disposed on a lateral portion thereof, a spacer member disposed over the first cover, and a second cover disposed over the spacer member. The first and second covers may be spaced apart from each other at a predetermined distance due to the spacer member, and a separation space between the first and second covers may be configured to operate as a second antenna module. It is therefore possible to guarantee high-efficiency wireless performance having iso-directionality without compromising the design of the electronic device. Other embodiments are also possible.

Electronic device including slot antenna module

A method for improving performance of a local device based on guide data from a remote device, according to one embodiment of the present disclosure, includes transmitting, to the remote device, first image data generated by the local device at a first time point, receiving guide data related to the first image data from the remote device, and registering, by a processor, the guide data to second image data generated by the local device at a second time point, based on first spatial information on the first image data, wherein the second time point is a time point that is after the first time point. A trained model for object recognition according to the present disclosure may include a deep neural network generated through machine learning, and the transmitting of the guide data may be performed in an Internet of Things (IoT) environment using a 5G network.

Enhancing performance of local device

An electronic device including a shielding member for performing an electromagnetic interference (EMI) shielding function is provided. The electronic device includes a printed circuit board including a first area in which first electronic components having a first frequency as a driving frequency are mounted, and a second area in which second electronic components having a second frequency as a driving frequency are mounted, a shielding film disposed to cover the first area and the second area of the printed circuit board and attached to a first ground portion of the printed circuit board, and at least one conductive member formed to extend in a direction perpendicular to an extending direction of the printed circuit board. The at least one conductive member includes a first end that contacts the shielding film, and a second end that contacts a second ground portion of the printed circuit board, the second end being disposed between the first area and the second area of the printed circuit board.

Shielding member and electronic device including the same

Disclosed are a method and apparatus for remotely controlling an imaging apparatus. A method of controlling a remote control apparatus includes converting a spoken utterance of a user into an utterance text or receiving the utterance text, applying a generative model-based first learning model to the utterance text and generating an image having attributes corresponding to a context of the utterance text, and externally transmitting the image and the utterance text. In addition, a method of controlling an imaging apparatus includes receiving a first input including text or speech data and a second input including a first image, capturing at least one second image based on the first input, comparing the first image and the second image, and transmitting the second image in response to a comparison result of the first image and the second image.

Remote control method and apparatus for an imaging apparatus

The present disclosure relates to a convolutional-neural-network structure for acquiring intent words, and a speech recognition device and method using the network. the method includes receiving input data generated from speech, performing convolution on the input data and N3 filters each having N2 channels, and acquiring a feature map having N4 pieces of data for each channel, applying max pooling to the N4 pieces of data to acquire a representative value, and acquiring a feature map having N2 pieces of data for each filter, performing concatenation on the feature maps for the respective filters, and acquiring one feature map of an N3&#xd7;N2 matrix, performing convolution on the feature map of the N3&#xd7;N2 matrix and a filter of a 1&#xd7;N3 matrix, and acquiring a feature map of a 1&#xd7;N2 matrix; and inputting the feature map of the 1&#xd7;N2 matrix into an artificial neural network, and acquiring at least one intent word.

Device with convolutional neural network for acquiring multiple intent words, and method thereof

In accordance with an aspect of the disclosure, an electronic device comprises a first housing, a second housing, a hinge housing disposed between the first housing and the second housing and containing a metallic material, a hinge structure, at least partially disposed in the hinge housing, wherein the hinge structure connects the first housing and the second housing to allow a selectable angle of rotation between the first housing and the second housing, and a conductive pattern formed on a surface of the hinge housing.

Electronic device including hinge housing having conductive pattern formed thereon

Disclosed herein is an artificial intelligence apparatus for performing speech recognition including a microphone configured to receive a speech command of a user, a learning processor configured to determine anaphora included in text data corresponding to the speech command using an anaphora recognition model for determining anaphora included in predetermined text data, and a processor configured to specify an object referred to by the determined anaphora based on context information including information input to or output from the artificial intelligence apparatus, determine a response to the speech command based on the specified object, and control the artificial intelligence apparatus according to the determined response.

Artificial intelligence apparatus for performing speech recognition and method thereof

An artificial intelligence apparatus for recognizing an object included in image data can include a camera, a communication modem, a memory configured to store an image recognition model, a natural language processing (NLP) model, and an NLP model-based image recognition model learned based on the NLP model, and a processor is configured to receive image data from the camera or the communication modem, in response to recognizing an object included in the image data using the image recognition model, generate first recognition information on the object included in the image data, and in response to the recognizing the object included in the image data using the image recognition model being unsuccessful, generate second recognition information on the object included in the image data based on recognizing the object using the NLP model-based image recognition model.

Growing community of inventors

Gyeonggi-do, South Korea

Kwangyong Lee