Industry-University Cooperation Foundation Sogang University

Lg Innotek Co., Ltd.

Seoul National University

Yonsei University

Sogang University Research Foundation

Hyundai Mobis Co., Ltd.

Korea Engineering & Clean Technology Co., Ltd.

Other

Hyundai Autron Company Ltd.

Hyundai Motor Company

Kia Motors Corporation

Goldstar, Co., Ltd.

Mpwav Inc.

Sogang University Research Business Development Foundation

Hyung Min Park

Kwang Suk Lee

Byung Joon Cho

Dong On Jang

Won Hee Jo

Joo Yeon Park

Ji Haeng Lee

Kyo Chul Koo

Sun Ju Lee

Dae Sick Choi

Ye Eun Kang

Seok Gyu Park

Jae Hyuk Jang

Sang Jun Park

Moo Ryong Park

Kwang Ho Park

Chul Hong Kim

Jin Hee Kim

Jong Sun Kim

Kyoung Soo Ahn

Hyun Hee Chae

Ki Beom Kim

Jeong Oh Lee

Uihyeop Shin

Jaechan Lim

Yeon Ho Kim

Na Yeon Kim

Seoyoung Lee

Jae Hyuck Woo

Jun Chul Hyun

Yong In Lee

Doo Jin Jang

Young Suk Kim

Seo Young Lee

Joo Won Park

Tae Hwan Kang

Dae Hyun Choi

Beom Cheol Cho

Yun Ho Choi

Myung Woo Oh

Seung-Yun Kim

Ran Lee

Yunil Hwang

Biho Kim

A target signal extraction apparatus according to an embodiment of the present invention may comprise a steering vector estimator and a beamformer. The steering vector estimator may generate an input signal covariance according to input results for each frequency over time, generate a noise covariance on the basis of a variance determined according to output results corresponding to the input results, and generate a steering vector on the basis of the input signal covariance and the noise covariance. The beamformer may generate a beamforming weight according to a beamforming covariance determined according to the variance and the steering vector, and provide the output results on the basis of the input results and the beamforming weight. The target signal extraction apparatus according to the present invention may generate the steering vector by calculating the noise covariance on the basis of the variance determined according to output results corresponding to input results, and increases extraction performance for a target sound source by updating a beamforming weight.

Beamforming method using online likelihood maximization combined with steering vector estimation for robust speech recognition, and apparatus therefor

Disclosed is an apparatus for excitation signal generation for a resolver. The apparatus includes a sine wave generator that generates a sine wave based on a square wave, an amplifier that amplifies the sine wave, a differential signal generator that converts, into a differential signal, the amplified sine wave, a driver that inputs the differential signal to a coil, and a processor that generates an excitation signal by increasing a voltage of the sine wave from a start voltage to a target voltage through at least one of the sine wave generator and the amplifier based on a transient current that flows into the coil in a transient response interval.

Apparatus and method for generating excitation signal for resolver

The present disclosure relates to a vehicle-type mobile infectious disease clinic, and more particularly, to a mobile infectious disease clinic, which is a vehicle-type mobile infectious disease clinic, that allows a test subject to be tested by a healthcare provider using an infectious disease test kit while exposure of the body parts is minimized and the healthcare provider and the test subject are isolated in the vehicle-type mobile infectious disease clinic, that performs sterilization of an infectious disease using an ultraviolet C (UV-C) lamp to reduce the time taken for disinfecting the clinic, and that allows the light radiation intensity of the UV-C lamp to be adaptively adjusted according to the body temperature of the test subject.

Vehicle-type mobile infectious disease clinic

The present disclosure relates to a booth-type mobile infectious disease clinic, and more particularly, to a mobile infectious disease clinic, which is a booth-type mobile infectious disease clinic which makes it possible to assemble and disassemble a large number of mobile infectious disease clinics, that allows a test subject to be tested by a healthcare provider using an infectious disease test kit while exposure of the body parts is minimized and the healthcare provider and the test subject are isolated in the booth-type mobile infectious disease clinic, that performs sterilization of an infectious disease using an ultraviolet C (UV-C) lamp to reduce the time taken for disinfecting the clinic, and that allows the light radiation intensity of the UV-C lamp to be adaptively adjusted according to the body temperature of the test subject.

Booth-type mobile infectious disease clinic

The present disclosure relates to a tent-type mobile infectious disease clinic, and more particularly, to a mobile infectious disease clinic, which is a tent-type mobile infectious disease clinic that makes it possible to promptly install a large number of mobile infectious disease clinics due to having mobility and being easy to install and remove, that allows a test subject to be tested by a healthcare provider using an infectious disease test kit while the test subject is isolated in the tent-type mobile infectious disease clinic, the healthcare provider is outside the tent-type mobile infectious disease clinic, and exposure of the body parts is minimized, that performs sterilization of an infectious disease using an ultraviolet C (UV-C) lamp to reduce the time taken for disinfecting the clinic, and that allows the light radiation intensity of the UV-C lamp to be adaptively adjusted according to the body temperature of the test subject.

Tent-type mobile infectious disease clinic

A target speech signal extraction method for robust speech recognition includes: initializing a steering vector for a target speech source and an adaptive vector, setting a real output channel of the target speech source as an output by the adaptive vector, initializing adaptive vectors for a noise and setting a dummy channel as an output by the adaptive vectors for the noise; setting a cost function for minimizing dependency between a real output for the target speech source and a dummy output for the noise; setting an auxiliary function to the cost function, and updating the adaptive vector for the target speech source and the adaptive vectors for the noise by using the auxiliary function and the steering vector; estimating the target speech signal by using the adaptive vector thereby extracting the target speech signal from the input signals; and updating the steering vector for the target speech source.

Online target-speech extraction method based on auxiliary function for robust automatic speech recognition

A device can be coupled to a foley catheter inserted into the bladder of a patient, where the foley catheter includes a urine passage through which urine can be drained from the bladder. The device includes a pressure sensor that is connected to a urine outlet of the urine passage and configured to measure a pressure value of the urine being drained through the urine outlet, a processor connected to the pressure sensor and configured to determine whether the foley catheter can be removed by comparing the pressure value and a predetermined threshold value, and a display unit connected to the processor and displaying whether the foley catheter can be removed according to the control of the processor.

Device for determining removability of Foley catheter

A motor drive system with a correction function of a temperature deviation of an IGBT module is provided. The system may include: a gate board configured to detect a plurality of sensing temperature information by sensing the IGBT module, acquire a difference value between maximum temperature information among the plurality of sensing temperature information and at least one sensing temperature information, and correct and output the at least one sensing temperature information by using the acquired difference value.

Motor drive system with correction function of temperature deviation of IGBT module

A real time clock device for a vehicle may include: a register set provided with a first register, in which second time information is stored, and configured to store Real Time Clock (RTC) data including the time or date; and a data compensation circuit to block an input of a 1 second (1 s) tick to the first register and compensate for a delay time according to the block of the input of the 1 s tick to the first register by an RTC lock signal during a process of transmitting the RTC data to an external device or receiving setting data for the RTC data from the external device.

Real time clock device for vehicle and operating method thereof

Provided is a source localization in an apparatus for performing a source localization, a target sound source enhancement or speech recognition. The source localization method using input signals input from a plurality of microphones, comprising steps of: (a) obtaining a log likelihood function or an auxiliary function under the assumption that a target source signal mixed with noises satisfies a CGMM model; (b) obtaining an equation for estimating parameter values of the log likelihood function or the auxiliary function so that a value of the log likelihood function or the auxiliary function is maximized recursively in each time frame; (c) estimating a covariance matrix recursively in each time frame; and (d) estimating a steering vector recursively by using the estimated covariance matrix, wherein the steering vector of the target sound source is estimated from the input signals.

Source localization method by using steering vector estimation based on on-line complex Gaussian mixture model

A method of noise cancellation comprises providing a first estimated output signal based on an input signal and a first prior far-end channel filter and a second prior far-end channel filter corresponding to a prior frame, updating a first current far-end channel filter corresponding to a current frame according to the first estimated output signal and the first prior far-end channel filter, providing a second estimated output signal based on the input signal, the first current far-end channel filter, and the second prior far-end channel filter, updating a second current far-end channel filter corresponding to the current frame according to the second estimated output signal and the second prior far-end channel filter, and providing a resultant signal based on the input signal, the first current far-end channel filter, and the second current far-end channel filter.

Device and method for stereo noise cancellation

A multi-master system includes a first master, a second master, and an integrated control circuit controlled by each of the first and second masters. The integrated control circuit includes a first dedicated block configured to provide a first function to the first master, a second dedicated block configured to provide a second function to the second master, and a global using block configured to provide a common function to each of the first and second masters.

Multi-master system, power controller and operating method of the multi-master system

Provided is a target speech signal extraction method for robust speech recognition including: receiving information on a direction of arrival of the target speech source with respect to the microphones; generating a nullformer by using the information on the direction of arrival of the target speech source to remove the target speech signal from the input signals and to estimate noise; setting a real output of the target speech source using an adaptive vector as a first channel and setting a dummy output by the nullformer as a remaining channel; setting a cost function for minimizing dependency between the real output of the target speech source and the dummy output using the nullformer by performing independent component analysis (ICA) or independent vector analysis (IVA); setting an auxiliary function to the cost function; and estimating the target speech signal by using the cost function and the auxiliary function.

Provided are a prediction value correction method and apparatus. The prediction value correction method includes steps of: (a) determining a prediction condition to be predicted; (b) receiving past prediction values and past measurement values according to the determined prediction condition; (c) filtering the past prediction values and the past measurement values by using an H-infinity filter to obtain an output value for a final time point; (d) estimating a future bias for a date and time point to be predicted by using the output value of the H-infinity filter; and (e) correcting a future prediction value for the date and time point to be predicted by using the estimated future bias to obtain a corrected future prediction value for the date and time point to be predicted.

Method and device for post-correction of predicted parameters by using a H-infinity filter

Provided is a method for beamforming by using maximum likelihood estimation in a speech recognition apparatus, including: (a) receiving an input signal (X) at a time frame n and a frequency k where noise is mixed: (b) determining a probability density function for a target signal (Y) obtained by removing the noise from the input signal satisfies a complex generalized Guassian distribution or a complex gamma distribution where an average value is zero in a time-frequency domain; (c) estimating a variance (&#x3bb;) of the target signal so as to maximize log likelihood for the probability density function; (d) estimating a filter (w) maximizing a cost function so as to maximize the log likelihood for the probability density function; and (e) repeatedly performing the estimation of the steps (c) and (d) until the filter (w) coverages, and finally acquiring a final filter (w).

Method for beamforming by using maximum likelihood estimation for a speech recognition apparatus

Growing community of inventors

Seoul, South Korea

Hyung Min Park