Lg Innotek Co., Ltd.

Osong Medical Innovation Foundation, Korea University Research and Business Foundation

Eeum, Inc

Dong Hyuk Park

Dong Gyu Lee

Seung Hoon Sa

Cheong Yong Park

Seong Hyung Park

Hyun Jong Ji

Jung Chan Kyoung

Jung Wan Jeong

Jong Min You

Chun Hee Jeong

Seung Hyun Kim

Young Ki Hong

Woon Il Choi

Min Ho Koo

Jinsoo Joo

Woon Ii Choi

Seong Gi Jo

Hyun Jin Yun

Il Guen Seo

The present disclosure relates to a font detection method using a neural network. The font detection method using the neural network according to the present disclosure includes receiving a target text image including a text; resizing a horizontal or vertical size to a reference input size according to an aspect ratio of the input target text image; and inputting the resized target text image into a trained neural network and outputting a font of the text included in the text image, and the neural network may be trained with a unit image extracted as a unit region of the reference input size from a training image generated by synthesizing a background with the text. According to the present disclosure, fonts according to various usage examples may be effectively detected.

Font detection method and system using artificial intelligence-trained neural network

Disclosed are a pixel, a pixel array, an image sensor including the pixel array and a method for operating the image sensor. The pixel includes a photo-electro conversion unit; a capacitor for storing charges converted by the photo-electro conversion unit; an output switching device for outputting an electric potential of the capacitor; and a removal unit for removing a part of the charges converted by the photo-electro conversion unit.

Pixel, pixel array, image sensor including the same and method for operating the image sensor

Disclosed are a pixel, a pixel array, an image sensor including the pixel array and a method for operating the image sensor. The pixel includes a photo-electro conversion unit; a first capacitor for storing a first quantity of charges of the photo-electro conversion unit; a second capacitor for storing a second quantity of charges of the photo-electro conversion unit; and an output unit to output the first and second quantities of the charges.

According to one embodiment of the present invention, a portion of a light-emitting polymer material or a conductive polymer material can be irradiated with a focused electron beam, so that the physical properties of that portion can be modified. For this purpose, one embodiment of the present invention comprises an apparatus for modifying the physical properties of a nanostructure using a focused electron beam, the apparatus comprising: a nanostructure; a focused electron beam-irradiating unit that serves to irradiate a nanoscale electron beam such that it is focused on the nanostructure; and a focused electron beam-controlling unit that serves to control the irradiation position of the nanoscale electron beam so as to modify the physical property of a portion of the nanostructure.

Apparatus and method for modifying physical properties of nanostructure using focused electron beam, and nano-barcode and serial-junction nanowire fabricated thereby

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Seoul, South Korea

Dong Hyuk Park