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Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder Research Articles

Xin HE, Zhe ZHANG, Li XU, Jiapei YU,xinhe_ee@zju.edu.cn,xupower@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 452-462 doi: 10.1631/FITEE.2000667

Abstract: employed to conduct the driving cycle test, the approach we propose directly normalizes the using an auto-encodera positive correlation between the vehicle speed and , a gate constraint is imposed in between the encoder

Keywords： Driving behavior     Normalization     Gated auto-encoder     Quantitative evaluation    

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Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) is

Keywords： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

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Stability analysis of slopes with planar failure using variational calculus and numerical methods

Norly BELANDRIA, Roberto ÚCAR, Francisco M. LEÓN, Ferri HASSANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1262-1273 doi: 10.1007/s11709-020-0657-9

Abstract: This study investigates the technique of variational calculus applied to estimate the slope stability

Keywords： slopes stability     planar failure     variational calculus     numerical methods    

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The Way in Development of China's Auto Industry: Cooperation & Self-Reliance

Guo Konghui

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 17-20

Abstract: paper gives an observation and review of serious arguments on the way in development of China's autoindustry, presents some points on the way out for the auto industry, and explains that China will be

Keywords： china's auto industry     way in development     cooperation & self-reliance    

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Optimal production strategy for auto manufacturers with government subsidies in competitive environments

Frontiers of Engineering Management doi: 10.1007/s42524-023-0261-5

Abstract: Hotelling model and evolutionary game theory, this paper studies the optimal production strategy of duopoly autoSpecifically, when consumer environmental preference is sufficiently high, both auto manufacturers willFinally, when it is low, neither auto manufacturer will produce EVs.further reveal that the more significant the difference in EV production costs is, the more inclined auto

Keywords： supply chain management     low-carbon emission     electric vehicle     subsidy     evolutionary game theory    

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An experimental study on spray auto-ignition of RP-3 jet fuel and its surrogates

Yaozong DUAN, Wang LIU, Zhen HUANG, Dong HAN

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 396-404 doi: 10.1007/s11708-020-0715-y

Abstract: In the latter case, fuel spray auto-ignition behavior is an important index for engine operation reliabilityThe spray auto-ignition characteristics of RP-3 jet fuel and its three surrogates, the 70% mol -decaneExperimental results indicate that Surrogate 1 overestimates the auto-ignition propensity of RP-3 jetfuel, whereas Surrogates 2 and 3 show quite similar auto-ignition propensity with RP-3 jet fuel.Therefore, to capture the spray auto-ignition behaviors, DCN is the most important parameter to match

Keywords： RP-3 jet fuel     surrogate     spray auto-ignition     constant volume combustion chamber    

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Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900571

Abstract: Opinion question (MRC) requires a machine to answer questions by analyzing corresponding passages. Compared with traditional MRC tasks where the answer to every question is a segment of text in corresponding passages, opinion question MRC is more challenging because the answer to an opinion question may not appear in corresponding passages but needs to be deduced from multiple sentences. In this study, a novel framework based on is proposed to address such problems, in which a new hybrid embedding training method combining text features is used. Furthermore, extra attention and output layers which generate auxiliary losses are introduced to jointly train the stacked recurrent . To deal with imbalance of the dataset, irrelevancy of question and passage is used for . Experimental results show that the proposed method achieves state-of-the-art performance. We are the biweekly champion in the opinion question MRC task in Artificial Intelligence Challenger 2018 (AIC2018).
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Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 78-81

Abstract:

According to the fuzzy theory and practical experience, the authors propose a rules autoconditioning fuzzy controller, whose dynamic performance and stability are all prior to the conventional PID controller and the basic fuzzy controller. It is also shown that the controller has good disturbance rejection properties and insensitivity to plant parameter variations. Both simulation and engineering prove that it is feasible actually and convenient to put into practical control project.

Keywords： fuzzy controller     rules auto-tuning     adaptive    

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Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 46-49 doi: 10.1007/s11465-007-0007-9

Abstract: A blind identification method was developed for the threshold auto-regressive (TAR) model.The proposed method was then combined with the hidden Markov model (HMM) to determine the auto-regressive

Keywords： speed-up     classifier     practical     extraction     experiment    

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Cutting Down Oil Consumption and Reducing Emission for the Healthy Development of China's Auto Industry

Cao Xianghong

Strategic Study of CAE 2005, Volume 7, Issue 1,   Pages 1-8

Abstract: oil supply-demand situation,the paper point out the way for the healthy development of China’s auto

Keywords： auto industry     oil consumption     emission    

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Acoustic analysis of lightweight auto-body based on finite element method and boundary element method

LIANG Xinhua, ZHU Ping, LIN Zhongqin, ZHANG Yan

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 99-103 doi: 10.1007/s11465-007-0017-7

Abstract: the body structure is calculated by a finite element method (FEM) to get the dynamic behavior of the auto-body

Keywords： harshness     automotive prototype     structural optimization     vibration     efficient    

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Experiment and surge analysis of centrifugal two-stage turbocharging system

HE Yituan, MA Chaochen

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 365-368 doi: 10.1007/s11465-008-0073-7

Abstract: similarity criterion, because the air flow in a HP stage compressor has entered the Reynolds number () auto-modeling

Keywords： auto-modeling     compressor     Reynolds number     characteristic     standard condition    

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Developing China's Auto Industry Through the “CHERY” Pattern

Jin Lüzhong

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 9-13

Abstract: That is the road for developing China's auto industry.The government should support such auto enterprises as CHERY, GEELY and HAFEI, which take the road of

Keywords： auto industry     the CHERY pattern     self-reliance development     preferential policy    

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Variational Bayesian multi-sparse component extraction for damage reconstruction of space debris hypervelocity Research Article

Xuegang HUANG, Anhua SHI, Qing LUO, Jinyang LUO,emei-126@126.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 530-541 doi: 10.1631/FITEE.2000575

Abstract: To improve the survivability of orbiting spacecraft against space debris impacts, we propose an impact method. First, a multi-area damage mining model, which can describe damages in different spatial layers, is built based on an infrared thermal image sequence. Subsequently, to identify different impact damage types from infrared image data effectively, the inference is used to solve for the parameters in the model. Then, an image-processing framework is proposed to eliminate errors and compare locations of different damage types. It includes an image segmentation algorithm with an energy function and an image fusion method with . In the experiment, the proposed method is used to evaluate the complex damages caused by the impact of the secondary debris cloud on the rear wall of the typical Whipple shield configuration. Experimental results show that it can effectively identify and evaluate the complex damage caused by , including surface and internal defects.

Keywords： Hypervelocity impact     Variational Bayesian     Sparse representation     Damage assessment    

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A virtual reality system for arm and hand rehabilitation

Zhiqiang LUO, Chee Kian LIM, I-Ming CHEN, Song Huat YEO

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 23-32 doi: 10.1007/s11465-011-0202-6

Abstract:

This paper presents a virtual reality (VR) system for upper limb rehabilitation. The system incorporates two motion track components, the Arm Suit and the Smart Glove which are composed of a range of the optical linear encoders (OLE) and the inertial measurement units (IMU), and two interactive practice applications designed for driving users to perform the required functional and non-functional motor recovery tasks. We describe the technique details about the two motion track components and the rational to design two practice applications. The experiment results show that, compared with the marker-based tracking system, the Arm Suit can accurately track the elbow and wrist positions. The repeatability of the Smart Glove on measuring the five fingers’ movement can be satisfied. Given the low cost, high accuracy and easy installation, the system thus promises to be a valuable complement to conventional therapeutic programs offered in rehabilitation clinics and at home.

Keywords： motion tracking     rehabilitation     optical linear encoder (OLE)     virtual reality    

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Title Author Date Type Operation

Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder

Xin HE, Zhe ZHANG, Li XU, Jiapei YU,xinhe_ee@zju.edu.cn,xupower@zju.edu.cn

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Stability analysis of slopes with planar failure using variational calculus and numerical methods

Norly BELANDRIA, Roberto ÚCAR, Francisco M. LEÓN, Ferri HASSANI

Journal Article

The Way in Development of China's Auto Industry: Cooperation & Self-Reliance

Guo Konghui

Journal Article

Optimal production strategy for auto manufacturers with government subsidies in competitive environments

Journal Article

An experimental study on spray auto-ignition of RP-3 jet fuel and its surrogates

Yaozong DUAN, Wang LIU, Zhen HUANG, Dong HAN

Journal Article

Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Journal Article

Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Journal Article

Cutting Down Oil Consumption and Reducing Emission for the Healthy Development of China's Auto Industry

Cao Xianghong

Journal Article

Acoustic analysis of lightweight auto-body based on finite element method and boundary element method

LIANG Xinhua, ZHU Ping, LIN Zhongqin, ZHANG Yan

Journal Article

Experiment and surge analysis of centrifugal two-stage turbocharging system

HE Yituan, MA Chaochen

Journal Article

Developing China's Auto Industry Through the “CHERY” Pattern

Jin Lüzhong

Journal Article

Variational Bayesian multi-sparse component extraction for damage reconstruction of space debris hypervelocity

Xuegang HUANG, Anhua SHI, Qing LUO, Jinyang LUO,emei-126@126.com

Journal Article

A virtual reality system for arm and hand rehabilitation

Zhiqiang LUO, Chee Kian LIM, I-Ming CHEN, Song Huat YEO

Journal Article