Yugang Chen

이길용(Lee, Gil Yong)

이성현(Lee, Sung Hyun)

이경태(Lee, Gyeong Tae)

김성후(Kim, Seong Hu)

정재학(Jeong, Jae-Hak)

이재덕(Lee, Jae Duck)

고병윤(Ko, Byeong Yun)

남현욱(Nam, Hyeonuk)

박강재(Park, Kang Jae)

신준오(Shin, Joon Oh)

박대희(Park, Dae Hee)

유혜원(Yoo, Hye Won)

이준혁(Lee, JunHyeok)

장인규(Jang, In Gyu)

권욱현 (Kwon, Wook Hyeon)

최상민 (Choi, Sang Min)

배재웅(Bae, Jae Woong)

우수민 (Woo, Soomin)

정성진(Cheong, Sung Jin)

윤성현 (Yun, Sung Hyun)

김도현(Kim, Dohyeon)

민덕기(Min, Deokki)

민창희(Min, Changhee)

Human-Machine Interaction Laboratory. The lab's research focuses on 3D image recognition for autonomous robot and vehicles, Fundamentals of structural vibration and system identification, 3D Lidar Sensor and Human Recognition, Human Auditory System-inspired Acoustic Recognition, Vibration Analysis and Condition Monitoring, Non-invasive biometric-health sensors, Voice recognition and sound transducers, Human Sound and Vibration for Health Sensors. Key applications include 구조진동해석 and 고장진단.

연구실의 연구는 자율 로봇 및 차량을 위한 3D 이미지 인식, 구조 진동 및 시스템 식별 기초, 3D Lidar 센서 및 인간 인식, 인간 청각 시스템에서 영감을 받은 음향 인식, 진동 분석 및 상태 모니터링, 비침습적 생체 건강 센서, 음성 인식 및 사운드 트랜스듀서, 건강 센서를 위한 인간 사운드 및 진동에 중점을 둡니다. 주요 응용 분야는 구조진동해석 및 고장진단입니다.

Thermal-Infrared Remote-Target Detection System for Maritime Rescue Using 3-D Game-Based Data Augmentation With GAN

A partitioned flexibility (PartFlex) method for structural analysis

Cardiovascular hardware simulator and artificial aorta-generated central blood pressure waveform database according to various vascular ages for cardiovascular health monitoring applications

Deep learning based cough detection camera using enhanced features

Reduced-order modeling via proper generalized decomposition for uncertainty quantification of frequency response functions

Application of DeepONet to predict transient drop motion of the control rod in real-time

Coherence-based phonemic analysis on the effect on reverberation to practical automatic speech recognition

A computational framework for drop time assessment of a control element assembly under fuel assembly deformations with fluid-structure interaction and frictional contact

Validation of the added mass effect in the narrow gaps of nuclear reactor pressure vessels

Highly accurate three-dimensional measurement of large structures using multiple stereo vision with improved two-step calibration algorithm

Model order reduction based on low-rank approximation for parameterized eigenvalue problems in structural dynamics

Vibration, and temperature run-to-failure dataset of ball bearing for prognostics

Hydrogel Ink for 3D Printing with High and Widely Tunable Mechanical Properties via the Salting-Out Effect

Cardiovascular hardware simulator and artificial aorta-generated central blood pressure waveform database according to various vascular age for cardiovascular health monitoring applications

Enhanced video motion magnification utilizing envelop shift for vision-based vibration measurements

Proper generalized decomposition-based iterative enrichment process combined with shooting method for steady-state forced response analysis of nonlinear dynamical systems

Real-Time Sound Recognition System for Human Care Robot Considering Custom Sound Events

Feasibility study on person identification utilizing frequency response functions of human fingers

Development of the upgraded single crystal dispersion interferometer (SCDI-U) and its first measurements of the line integrated electron densities in KSTAR during shattered pellet injections

Automatic Internal Stray Light Calibration of AMCW Coaxial Scanning LiDAR Using Black and White Image Patterns

Displacement-based partitioned equations of motion for structures: Formulation and proof-of-concept applications

PRTFNet: HRTF Individualization for Accurate Spectral Cues Using a Compact PRTF

Multipath Interference Suppression of Amplitude-Modulated Continuous Wave Coaxial-Scanning LiDAR Using Model-Based Synthetic Data Learning

Analysis-Based Optimization of Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification

Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis

Vibration and current dataset of three-phase permanent magnet synchronous motors with stator faults

Experimental characterization of a shape optimized acoustic lens: Application to compact speakerphone design

A proper generalized decomposition-based harmonic balance method with arc-length continuation for nonlinear frequency response analysis

Highly precise AMCW time-of-flight scanning sensor based on parallel-phase demodulation

Correlation analysis of human upper arm parameters to oscillometric signal in automatic blood pressure measurement

Normal data based rotating machine anomaly detection using CNN with self-labelling

Identifying Reflected Images From Object Detector in Indoor Environment Utilizing Depth Information

A method for identification of analyte concentration in aqueous solution by using a mistuned fluid-structure coupled vibration

A natural frequency sensitivity-based stabilization in spectral stochastic finite element method for frequency response analysis

A Helmholtz resonator on elastic foundation for measurement of the elastic coefficient of human skin

Reproduction of human blood pressure waveform using physiology-based cardiovascular simulator

Design and Evaluation of Enhanced Mock Circulatory Platform Simulating Cardiovascular Physiology for Medical Palpation Training

Interaural Coherence Estimation for Speech Processing in Reverberant Environment

A Combined Nonstationary Kriging and Support Vector Machine Method for Stochastic Eigenvalue Analysis of Brake Systems

A Parallel-Phase Demodulation-Based Distance-Measurement Method Using Dual-Frequency Modulation

Optoelectronic shutter, method of operating the same and optical apparatus including the optoelectronic shutter

Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection

Partitioned component mode synthesis via a flexibility approach

High-fidelity modeling of MEMS resonators. Part I. Anchor loss mechanisms through substrate

Filteraugment: An acoustic environmental data augmentation method

Camera for measuring depth image and method of measuring depth image using the same

Structural modification based on measured frequency response functions: an exact eigenproperties reallocation

Eye-type scanning mirror with dual vertical combs for laser display

CAMERA FOR MEASURING DEPTH IMAGE AND METHOD OF MEASURING DEPTH IMAGE

Biometric camera

Structure optimization to enhance its natural frequencies based on measured frequency response functions

Temporal dynamic convolutional neural network for text-independent speaker verification and phonemic analysis

Method and apparatus for calculating a distance between an optical apparatus and an object

High-fidelity modeling of MEMS resonators. part ii. coupled beam-substrate dynamics and validation

3D image acquisition apparatus and method of generating depth image in the 3D image acquisition apparatus

3D image acquisition apparatus and method of calculating depth information in the 3D image acquisition apparatus

Three-dimensional imaging using fast micromachined electro-absorptive shutter

Hyeonuk Nam

Seong-Hu Kim

Jung Wonho

Kwang-Chun (K. C.) Park, Professor E...

Jae-Hak Jeong

Bomi Lee

Junki Hong

Byeong-Yun Ko

Gyeong-Tae Lee, Ph.D.

Deokki Min

Sunghyun Lee

Jae-Hyung Jang

Gunwu Ju

Ilia Ovsiannikov

Dejan S. Filipovic

Hong-Seok Lee

Tae-Heon Yang

Chang Kwon Hwangbo

Sun Kwon Kim

Yong-Hwa Park

An optoelectronic shutter, a method of operating the same, and an optical apparatus including the optoelectronic shutter are provided. The optoelectronic shutter includes a pho totransistor which generates an output signal from incident input light and a light emitting diode serially connected to the phototransistor. The light emitting diode outputs output light according to the output signal, and the output signal is gain modulated according to a modulation of a current gain of the phototransistor.

Rotating machines are often operated under various operating conditions. However, the characteristics of the data varies with their operating conditions. This article presents the time-series dataset, including vibration, acoustic, temperature, and driving current data of rotating machines under varying operating conditions. The dataset was acquired using four ceramic shear ICP based accelerometers, one microphone, two thermocouples, and three current transformer (CT) based on the international organization for standardization (ISO) standard. The conditions of the rotating machine consisted of normal, bearing faults (inner and outer races), shaft misalignment, and rotor unbalance with three different torque load conditions (0 Nm, 2 Nm, and 4 Nm). This article also reports the vibration and driving current dataset of a rolling element bearing under varying speed conditions (680 RPM to 2460 RPM). The established …

2D convolution is widely used in sound event detection (SED) to recognize two dimensional time-frequency patterns of sound events. However, 2D convolution enforces translation equivariance on sound events along both time and frequency axis while frequency is not shift-invariant dimension. In order to improve physical consistency of 2D convolution on SED, we propose frequency dynamic convolution which applies kernel that adapts to frequency components of input. Frequency dynamic convolution outperforms the baseline by 6.3% in DESED validation dataset in terms of polyphonic sound detection score (PSDS). It also significantly outperforms other pre-existing content-adaptive methods on SED. In addition, by comparing class-wise F1 scores of baseline and frequency dynamic convolution, we showed that frequency dynamic convolution is especially more effective for detection of non-stationary sound events with intricate time-frequency patterns. From this result, we verified that frequency dynamic convolution is superior in recognizing frequency-dependent patterns.

SIMPLIFIED structural models are essential for a variety of rea-sons: shock isolation systems design, active vibration controller design, system identification and experimentally verified model development, and health monitoring of transportation infrastructures. Most existing methods work well for their intended applications, and the choice of a particular method depends largely on the experience and preference of the dynamics specialists. There exists one consensus among the dynamics specialists: The model reduction of each substructure still relies on a rule of thumb or paradigm, that is, retain the substructural modes about twice the global modes that need to be modeled in the overall system. In recent years several new developments have been emerging wherein this rule of thumb is not only inadequate but also can lead to grave consequences. Examples include distributed and/or localized active control of …

A computational model is developed for the prediction of wave propagation in the substrate of a MEMS resonator to study energy loss mechanisms from the vibrating beams to the substrate, viz., anchor loss. The model employs a modified classical Fourier transform method under periodic excitations at the anchor area. The present substrate model, when applied to a typical commercially fabricated substrate, estimates that the anchor loss of an ends-anchored resonator with its center frequency of 50 MHz can reach as high as 0.05% in terms of equivalent damping ratio. Anchor loss versus resonator center frequency is assessed by varying the beam dimension, which predicts that anchor loss increases a hundredfold for every tenfold increase in resonator center frequency in the case of two ends-anchored beam resonators. The substrate model has been integrated into a coupled beam-substrate-electrostatics model …

Acoustic environments affect acoustic characteristics of sound to be recognized by physically interacting with sound wave propagation. Thus, training acoustic models for audio and speech tasks requires regularization on various acoustic environments in order to achieve robust performance in real life applications. We propose FilterAugment, a data augmentation method for regularization of acoustic models on various acoustic environments. FilterAugment mimics acoustic filters by applying different weights on frequency bands, therefore enables model to extract relevant information from wider frequency region. It is an improved version of frequency masking which masks information on random frequency bands. FilterAugment improved sound event detection (SED) model performance by 6.50% while frequency masking only improved 2.13% in terms of polyphonic sound detection score (PSDS). It achieved equal …

Provided are a depth camera and methods of measuring a depth image by using the depth camera. The depth camera is a time-of-flight (TOF) depth camera including: an illumination device that illuminates a patterned light to an object; a filter unit that reduces noise light included in light reflected by the object; and an image sensor that provides a depth image of the object by receiving light that enters through the filter unit. The illumination device includes: a light source; and a patterned light generator that changes the light emitted from the light source into the patterned light. The filter unit includes a band pass filter and an optical modulator. The patterned light generator may be a diffractive optical element or a refractive optical element.

A structural modification method based on frequency response functions is presented in terms of an inverse eigenvalue problem. The design objective is to derive multiple lumped mass, damper and stiffness modifications needed to reallocate eigenvalues and specify eigenvectors of an existing structure. A frequency response function-based substructure-coupling concept is used to get the system dynamic equations. A linear algebraic equation is finally obtained to identify the necessary structural modifications. The exact structural modifications are determined. The existence and uniqueness of exact solutions are also investigated. The feasibility of structural modification is examined under the restrictions of structural modifications in the case where infinite many exact modifications can exist. The proposed method was applied to an example structure. Based on experiment data, the minimum stiffness modifications …

We designed a new electrostatically driven scanning mirror which consists of a circular mirror plate and an elliptic outer frame with vertical combs. The rotational actuation is done by the vertical combs attached to the elliptic outer frame. To increase the actuation force, stationary vertical comb electrodes are arranged on the upper and lower sides of the moving comb fingers, simultaneously. This eye-type mirror showed larger deflection angle compared to those of the previous works such as using rectangular and elliptic mirrors. The diameter of the mirror plate is 1.0mm, and the lengths of the major and minor axes of the outer frame are 2.5 and 1.0mm, respectively. Using this scanning mirror, we obtained an optical scanning angle of 32° when driven by sinusoidal driving voltage of system's resonant frequency in range of 22.1–24.5kHz with 100V dc bias voltage. We demonstrated a full color XGA-resolution video …

Exemplary embodiments for a biometric camera system for a mobile device, comprise: a near infrared (NIR) light source on the mobile device that flashes a user of the mobile device with near infrared light during image capture; a biometric camera located on the mobile device offset from the NIR light source, the biometric camera comprising: an extended depth of field (EDOF) imaging lens; a bandpass filter located adjacent to the EDOF imaging lens to reject ambient light during image capture; and an imaging sensor located adja cent the bandpass filter that converts an optical image of an object into an electronic signal for image processing, and a processor configured to receive video images of an iris of a user from the image sensor, and attempt to match the video images of the iris with previously registered images stored in an iris database, wherein if a match is found, the user is authenticated.

A measured frequency response function (FRF) based structural modification method is presented to obtain optimal structural changes to enhance its natural frequencies. Structural dynamics modification (SDM) has been widely used for improvements of built-in structures. However, the optimum design obtained by SDM differs from the true optimal solution when large modal changes happen. In this paper, a substructure-coupling concept is used to get system equations in order to extend its use to large modal changes. FRF matrix of baseline structure and those of modification structures are coupled at the connection points under the condition of force equilibrium and geometric compatibility constraints. Thus, exact modified modal properties can be calculated even for the case of large modal changes. The optimal structural modification is calculated by combining eigenvalue sensitivities and eigenvalue reanalysis …

Coughing is a typical symptom of COVID-19. To detect and localize coughing sounds remotely, a convolutional neural network (CNN) based deep learning model was developed in this work and integrated with a sound camera for the visualization of the cough sounds. The cough detection model is a binary classifier of which the input is a two second acoustic feature and the output is one of two inferences ( Cough or Others ). Data augmentation was performed on the collected audio files to alleviate class imbalance and reflect various background noises in practical environments. For effective featuring of the cough sound, conventional features such as spectrograms, mel-scaled spectrograms, and mel-frequency cepstral coefficients (MFCC) were reinforced by utilizing their velocity (V) and acceleration (A) maps in this work. VGGNet, GoogLeNet, and ResNet were simplified to binary classifiers, and were named V-net …

In the field of text-independent speaker recognition, dynamic models that adapt along the time axis have been proposed to consider the phoneme-varying characteristics of speech. However, a detailed analysis of how dynamic models work depending on phonemes is insufficient. In this paper, we propose temporal dynamic CNN (TDY-CNN) that considers temporal variation of phonemes by applying kernels optimally adapting to each time bin. These kernels adapt to time bins by applying weighted sum of trained basis kernels. Then, an analysis of how adaptive kernels work on different phonemes in various layers is carried out. TDY-ResNet-38(×0.5) using six basis kernels improved an equal error rate (EER), the speaker verification performance, by 17.3% compared to the baseline model ResNet-38(×0.5). In addition, we showed that adaptive kernels depend on phoneme groups and are more phoneme-specific at …

(57) ABSTRACT A method and apparatus for determining a distance between an optical apparatus and an object by considering a measured nonlinear waveform, as opposed to a mathematically ideal waveform. The method and apparatus may accurately calcu late distance information without being affected by a type of waveform projected onto the object and may not require an expensive light source or a light modulator for generating a light with little distortion and nonlinearity. Further, since the method may be able to use a general light source, a general light modulator, and a general optical apparatus, additional costs do not arise. Furthermore, a lookup table, in which previously calculated distance information is stored, may be used, and thus the amount of computation required to be performed to calculate the distance is Small, thereby allowing for quick calculation of the distance information in real time.

A computational multiphysics model of the coupled beam-substrate-electrostatic actuation dynamics of MEMS resonators has been developed for the model-based prediction of Q-factor and design sensitivity studies of the clamped vibrating beam. The substrate and resonator beam are modeled independently and then integrated by enforcing their interface compatibility condition and the force equilibrium to arrive at the multiphysics model. The present model has been validated with several reported single-beam clamped resonators. The validated model indicates that: the anchor loss is primarily engendered through coupling between the resonant modes and the waves propagating through the substrate inner layers; the resonant frequency of the beam decreases up to 5% due to substrate flexibilities interacting with beam at the anchors; and, for a given design the beam mass and its relative compliance with respect …

Provided are a three-dimensional (3D) image acquisition apparatus, and a method of generating a depth image in the

(57) ABSTRACT A 3-dimensional (3D) image acquisition apparatus and a method of calculating depth information in the 3D image acquisition apparatus, the 3D image acquisition apparatus including: an optical modulator for modulating light reflected from a subject by sequentially projected N (N is 3 or a larger natural number) light beams; an image sensor for generating NSub-images by capturing the light modulated by the optical modulator; and a signal processor for calculating depth infor mation regarding a distance to the Subject by using the N Sub-images.

A 20-MHz switching high-speed light-modulating device for three-dimensional (3-D) image capturing and its system prototype are presented. For 3-D image capturing, the system utilizes a time-of-flight (TOF) principle by means of a 20-MHz high-speed micromachined electro-absorptive modulator, the so-called optical shutter. The high-speed modulation is obtained by utilizing the electro-absorption mechanism of the multilayer structure, which has an optical resonance cavity and light-absorption epilayers grown by metal organic chemical vapor deposition process. The optical shutter device is specially designed to have small resistor–capacitor–time constant to get the high-speed modulation. The optical shutter is positioned in front of a standard high-resolution complementary metal oxide semiconductor image sensor. The optical shutter modulates the incoming infrared image to acquire the depth image. The …

Permanent magnet synchronous motors (PMSM) are widely used in industry applications such as home appliances, manufacturing process, high-speed trains, and electric vehicles. Unexpected faults of PMSM are directly related to the significant losses in the engineered systems. The majority of motor faults are bearing fault (mechanical) and stator fault (electrical). This article reports vibration and driving current dataset of three-phase PMSM with three different motor powers under eight different severities of stator fault. PMSM conditions including normal, inter-coil short circuit fault, and inter-turn short circuit fault in three motors are demonstrated with different powers of 1.0 kW, 1.5 kW and 3.0 kW, respectively. The PMSMs are operated under the same torque load condition and rotating speed. Dataset is acquired using one integrated electronics piezo-electric (IEPE) based accelerometer and three current …

HUMAN LAB

교수님 소개

박용화

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Application of DeepONet to predict transient drop motion of the control rod in real-time

Coherence-based phonemic analysis on the effect on reverberation to practical automatic speech recognition

Application of DeepONet to predict transient drop motion of the control rod in real-time

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

박용화

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Application of DeepONet to predict transient drop motion of the control rod in real-time

Coherence-based phonemic analysis on the effect on reverberation to practical automatic speech recognition

Application of DeepONet to predict transient drop motion of the control rod in real-time

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집