Electronics and Telecommunications Research Institute

So Yung Park

Kang Bok Lee

Kyu Won Han

Hyun Seok Kim

Hoe Sung Yang

Soo Cheol Kim

Kwang Soo Cho

Kee Seong Cho

Hyunseok Kim

Hoe-Sung Yang

Hwa Suk Kim

Kwang-Soo Cho

Jin Hwa Ryu

Soocheol Kim

Sang Hyun Mo

Sang Gi Hong

Sun Joong Kim

Jeong Woo Son

Sun-Hwa Lim

Cho Rong Yu

Jae Cheol Sim

Kyong Ha Lee

Won Il Chang

JeongKyun Kim

The disclosure relates to a non-dispersive infrared (NDIR) gas sensor which detects the concentration of gas with a simple structure and method by manufacturing an optical waveguide with a gas-permeable polymer material instead of a conventional cavity or chamber type. An optical signal travels through the optical waveguide of gas-permeable polymer by total internal reflection, and the gas naturally penetrates the optical waveguide without the use of separate inlet and outlet openings, so that the optical signal and gas particles come into contact with each other within the optical waveguide. Since the optical signal detected by a photodetector at the other end of the optical waveguide after traveling while contacting the gas particles has properties changed according to the concentration of the gas which they have contacted in the optical waveguide, it is possible to measure the concentration of a specific gas from the detected optical signal.

Non-dispersive infrared gas sensor using gas-permeable polymer optical waveguide and manufacturing method

A surface plasmon resonance imaging apparatus is provided. The surface plasmon resonance imaging apparatus includes a light irradiation unit configured to irradiate polarized light onto a metal coating film provided on one surface of a prism, a light modulator configured to spatially pattern-encode light reflected by the metal coating film and the prism, a light detector configured to detect a pattern-encoded light signal, obtained through pattern-encoding by the light modulator, as a spectral signal, a signal processor configured to spatially decode the spectral signal and analyze a decoded spectral signal to generate characteristic data of a sample provided on the metal coating film, and an output unit configured to output the characteristic data of the sample as a two-dimensional (2D) image.

Surface plasmon resonance imaging apparatus and method

Provided is an apparatus for detecting smoke based on polarization. The apparatus includes a chamber into which smoke is introduced, a detection unit comprising a light-emitting unit configured to emit light beams having a plurality of different wavelengths into a space in the chamber, and a light-receiving unit configured to receive scattered light from a plurality of light sources, a control unit configured to control an operation of the detection unit, and a fire determination unit configured to distinguish between fire smoke and non-fire analogous smoke by detecting and analyzing a light-receiving signal received by the light-receiving unit, in which horizontal polarization and vertical polarization are applied to the plurality of light sources of the light-emitting unit and the light-receiving unit.

Apparatus and method for detecting smoke based on polarization

A smoke detection apparatus based on multiple wavelengths is provided, which includes: a chamber configured to receive an inflow of a smoke; a detector including a light emitter having a plurality of light sources that radiate light having a plurality of different wavelengths into a space in the chamber, and a light receiver configured to receive scattered light by the plurality of light sources; and a controller configured to control an operation of the detector and to distinguish between fire smoke and non-fire quasi-smoke by detecting and analyzing a light receiving signal of the light receiver.

Apparatus and method for detecting smoke based on multiple wavelengths

Optical data is collected from an optical sensor of a dual wavelength, and in order to detect the fire from the collected optical data, an average value of a first wavelength, an average value of a second wavelength, and a ratio of the average values of the two wavelengths are calculated, and an amount of change of a slope of the ratio is used to detect the fire and determine the fire occurrence time. From the determined fire occurrence time, fire features are extracted from the optical data in real time according to defined rules to configure a data set. The data set may be used for learning and inference techniques to identify a fire or non-fire, a fire source, a combustion material, and the like.

Fire detection and feature extraction apparatus and method based on dual optical wavelength

Provided is a system for detecting flame, which includes a light collecting module configured to collect light emitted from flame and sense location information and intensity information of the collected light, a memory configured to store a program for determining fire information on the basis of the sensed location information and intensity information of the light, and a processor configured to calculate intensity information and fluttering information of the flame from the intensity information of the light by executing the program stored in the memory, to calculate centroid spatial distribution information of the flame from the location information of the light, and to detect whether there is flame on the basis of at least one of the intensity information of the flame, the fluttering information of the flame, and the centroid spatial distribution information.

System and method for detecting flame based upon fluttering information and centroid spatial distribution information of a flame

An apparatus and method for verifying broadcast content object identification based on web data. The apparatus includes: a web data processor configured to collect and process web data related to broadcast content and create content knowledge information by tagging the web data to the broadcast content; a content knowledge information storage portion configured to store the content knowledge information; and an object identification verifier configured to verify a result of identifying an object contained in the broadcast content, using the content knowledge information.

Apparatus and method for verifying broadcast content object identification based on web data

An apparatus and method for recognizing an object using correlation information about an object and content-related information which is generated based on the content-related information. The apparatus includes a data classifier, a data analyzer, a correlation manager, and an object identifier.

Apparatus and method for recognizing object using correlation between object and content-related information

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Daejeon-si, South Korea

So Yung Park