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Jinwei Wang,Xirong Ma,Jizhou Sun,Ziping Zhao,Yuanping Zhu 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5
Affective state detection, as an emerging field of artificial intelligence, is the key to designing effective natural human-computer interaction, especially for e-learning. It will be helpful to make the computer understand learners’ perceptions and provide appropriate guidance, just like teachers in traditional face-to-face classroom learning. Puzzlement is the most frequent non-neutral affective state in learning, and it is usually a sign that learners need more information and guidance. In this paper, we explore a machine learning approach for puzzlement detection from natural facial expression. We use active appearance models (AAMs) to decouple shape and appearance parameters from the face video sequences. Support vector machines (SVMs) are utilized to classify puzzlement and non-puzzlement with several features derived from AAMs. Using a 10-fold cross validation, we achieve the highest recognition rate of 98.9%. Experimental results indicate the feasibility of automatic frame-level puzzlement detection.
Improved Variable Step Size (IVSS) LMS for Active Noise Control System
SUN Jinwei,HUANG Boyan,WEI Guo,LIU Dan 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Adaptive filters based on the least-mean-square (LMS) algorithm in active noise control (ANC) system have an important limitation that the selection of a certain value for the step size implies compromise between speed of convergence and steady-state misadjustment. Traditional variable step size (VSS) LMS algorithms aiming at thisproblem have little efficiency in the high filter order case because of the small step variable range limited by the convergence condition. A proposed algorithm based on a novel principle is established to overcome this shortcoming.By increasing the variable range of the step size, it raises the convergence speed and tracking ability in the steady state of the system and lowers the steady-state misadjustment error in the high filter order case in ANC system.
Jinwei SUN,Dan LIU,Xin LIU,Guo WEI 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Meshless methods popularized in recent years are attractive choices for solving discontinuous and large de-formation problems. As one of the most popular methods to form trial function, Moving Least Squares (MLS) can ac-curately fulfill input signal reconstruction of nonlinear multiple-input multiple-output sensor. However, the parameter matrix obtained from MLS approximation sometimes is ill-conditioned even singular, which makes the signal estima-tion incorrect. By considering this problem, a novel method, the Improved Moving Least Squares (IMLS) is applied to data reconstruction in this paper. The algebra system based on IMLS method is not ill-conditioned with the weighted orthogonal functions replaced as the basis functions. Furthermore the estimation of sensor input signals can be obtainedwithout calculating the inversions of any matrices, and the computing procedure is also faster than that of MLS method.At last the comparison of approximation accuracy between these two methods is presented and illustrates that IMLS is more superior in signals regression for nonlinear multiple-input multiple-output sensors.
Interplay Between Optical Bianisotropy and Magnetism in Plasmonic Metamolecules
Sun, Liuyang,Ma, Tzuhsuan,Yang, Seung-Cheol,Kim, Dong-Kwan,Lee, Gaehang,Shi, Jinwei,Martinez, Irving,Yi, Gi-Ra,Shvets, Gennady,Li, Xiaoqin American Chemical Society 2016 Nano letters Vol.16 No.7
<P>The smallness of natural molecules and atoms with respect to the wavelength of light imposes severe limits on the nature of their optical response. For example, the well-known argument of Landau and Lifshitz and its recent extensions that include chiral molecules show that the electric dipole response dominates over the magneto-electric (bianisotropic) and an even smaller magnetic dipole optical response for all natural materials. Here, we experimentally demonstrate that both these responses can be greatly enhanced in plasmonic nanoclusters. Using atomic force microscopy nanomanipulation technique, we assemble a plasmonic metamolecule that is designed for strong and simultaneous optical magnetic and magneto-electric excitation. Angle-dependent scattering spectroscopy is used to disentangle the two responses and to demonstrate that their constructive/destructive interplay causes strong directional scattering asymmetry. This asymmetry is used to extract both magneto-electric and magnetic dipole responses and to demonstrate their enhancement in comparison to ordinary atomistic materials.</P>
Bioengineering Aspects of Sensors and Instruments for Continuous Monitoring of a Ventilated Newborn
Peter Rolfe,Jinwei Sun,Fabio Scopesi,Giovanni Serra 한국정밀공학회 2009 International Journal of Precision Engineering and Vol.10 No.1
This paper examines critical aspects of sensors and measurement instruments used in the clinical care of mechanically ventilated newborn babies. The key variables for ventilator control are described and sensors for gas flow and volume are evaluated. The continuous real-time monitoring of critical physical and chemical variables can provide important data that can be used to optimize mechanical ventilator parameters. The options for invasive and noninvasive measurement approaches are introduced and issues relating to the trade-offs between measurement precision and accuracy and patient safety are discussed. Sensors for blood gases, hemodynamic variables, pulmonary mechanics parameters, and ventilator characteristics are described. Accurate gas flow sensors are needed for the effective delivery of an optimized ventilator therapy; the hot-wire anemometer and the pneumotachograph are evaluated. A preliminary study to develop a rationale based on artificial intelligence decision trees for choosing sensors and instruments is presented.
Decentralized Automatic Speed Control System of Controlled Retarder based on Genetic Algorithm
JI Yundong,SUN Jinwei,WEI Guo 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Railway is the lifeline of national economy and automatic speed control system of train is one important methodfor automation of railway marshalling. Genetic Algorithm is applies to this system for optimizing the control parametersadaptively in the paper, which solves the long-term problem that the control performance usually decreases withenvironment changing such as temperature variation. Furthermore, the proposed method has the ability of self-learning. Therefore, the control parameters can be regulated according to the varieties of external condition to ensure the system atits best.
Complementary Filter Performance Enhancement through Filter Gain
Dung Duong Quoc,Jinwei Sun,Van Nhu Le,Lei Luo 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.7
Complementary filters coupled with MEMS IMU are preferred in applications where computational simplicity, low power and low cost is of prime importance. Such algorithms are equipped with fixed filter’s gain, however improvements can be realized by changing the filter’s gain as per the dynamic situation experienced by the platform. This paper is intended to evaluate the performance of conventional fixed gain complementary algorithm against adoptive gain complementary filter for attitude estimation using MEMS IMU as a test subject. As only IMU (Inertial Measurement Unit) has been exploited without using any aided sensory system, so the mandate is limited to evaluate performance of these algorithms on the basis of Euler angles roll and pitch estimation. Significant performance improvement is observed by varying filter gain in accordance with dynamic situation experienced by the system.
Guo Changxin,Lai, Yuanyuan,Sun Mengjia,Liu Nuo,Li Jinwei,Li Ying 한국지능정보시스템학회 2022 한국지능정보시스템학회 학술대회논문집 Vol.2022 No.6
The isolation measures of COVID-19 have caused problems in elderly peoples psychological, material and service access. Taking the current situation of community pension in CY District of Qingdao as an example, this paper constructed an online and offline smart pension mode based on the tripartite cooperation between the government, the community and enterprises, with the community home pension service database as the core and five service platforms as the main work.
DYNAMIC PROPERTIES OF ACTIVE NOISE CONTROL WITH AUXILIARY NOISE SCALED BY RESIDUAL NOISE SIGNAL
Jian Liu,Yegui Xiao,Jinwei Sun 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
In an active noise control (ANC) system with online secondary-path modeling based on auxiliary white noise injection, the residual noise power may be reduced by scaling the auxiliary noise with a function of the residual noise signal. In this paper, dynamics of a filtered-X LMS (FXLMS) based narrowband ANC system with online secondary-path modeling using an auxiliary white noise scaled by one-sample-delayed residual noise signal is analyzed. Difference equations governing the dynamics of the system are derived and discussed. Extensive simulations are conducted to illustrate the effectiveness of auxiliary noise scaling and the validity of the analytical results.
NONDESTRUCTIVE MEASUREMENT SYSTEM FOR WELDING RESDIUAL STRESS BY ULTRASONIC METHOD
ZHANG Shiping,LI Ying,SUN Jinwei,FANG Hongyuan 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Residual stresses are one of the most important challenges to the safety of parts and structures. Considering the disadvantages of the traditional measurement of residual stress which are time-consuming, consumption, destruction, huge volume??Ultrasonic stress measurement installation is improved to meet the measurement of thin wall welded structure. The acoustical theory is introduced. Ultrasonic stress measurement experimental installation is designed. The longitudinal residual stress and transverse residual stress of twin wire welded plate are measured by the proposed system. The result of the ultrasonic method is verified by laser hologram interference hole-drilling method and finite element method. The measurement process by Ultrasonic method is not only nondestructive, but also real-time.