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1,021 results on '"WANG Jinhai"'

1. Research on Real-time Wheel-rail Force Identification Network of Rail Transit under Compound Line Conditions

Author

ZHANG Zeteng, WANG Jinhai, YANG Jianwei, and YAO Dechen

Subjects
rail transit, composite line, real-time wheel-rail force identification network, Transportation engineering, TA1001-1280
Abstract

Objective Wheel-rail force plays an important role in the study of train running state, wheel off roundness and rail corrugation in rail transit. Current wheel-rail force identification methods have some problems, such as difficulty in data collection, high cost and inability to identify wheel-rail force under rail transit line conditions, so it is necessary to study the real-time wheel-rail force identification network of rail transit lines. Method A real-time wheel-rail force identification network of rail transit lines is constructed based on convolutional neural network. According to the measured data of a type of urban rail transit trailing car, the simulation model is established using SIMPACK software. Based on the simulation data, the accuracy and speed of the real-time wheel-rail force identification network for the lateral and vertical wheel-rail forces under working conditions, such as different curve radii lines and different train running speeds are studied. Result & Conclusion The real-time wheel-rail force identification network has an excellent ability to identify the wheel-rail vertical force, with the correlation coefficients all up to 0.99, and the average absolute error about 500 N and only 1% of the true value. The identification ability of the network for wheel-rail lateral force decreases with the increase of train operating speed, but it is still within the acceptable range. The correlation coefficient decreases from 0.93 to 0.65, and the average absolute error increases from 1 480 N to 3 000 N, which is approximately 20% of the actual value. The proposed network has a fast calculation speed and can meet the needs of wheel-rail force real-time identification.

Published
2024
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2. BENDING FATIGUE LIFE PREDICTION OF GEARS BASED ON DAMAGE SCALE FACTOR

Author

GAO Xiang, YANG JianWei, LI Xin, WANG JinHai, and LIU Fu

Subjects
Spur gear, Endurance bending test, Fatigue damage, Life prediction, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

To ensure the safe operation of mechanical transmission equipment, it is necessary to predict gears′ fatigue life accurately. Based on the cumulative damage theory and the flexural fatigue test results under two-stage loads, the relationship between the ratio of two-stage stress amplitudes and the bending fatigue damage is established in this paper. The relationship is used to improve the original model. The improved bending fatigue life prediction model can accurately predict the bending fatigue life of gears. Compared with the bending fatigue test results under multi-stage loading under various modes, the prediction result has a small deviation from the average test life.

Published
2022
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3. An Effective Method for Distinguishing Sleep Apnea and Hypopnea Based on ECG Signals

Author

Yao Wang, Siyu Ji, Tianshun Yang, Xiaohong Wang, Huiquan Wang, Xiaoyun Zhao, and Wang Jinhai

Subjects
Sleep apnea, hypopnea, multi-scale entropy, complexity, Heart rate variability analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Good sleep quality is essential to our life and work. The two major challenges in evaluating sleep quality are the scoring of sleep stages and sleep apnea detection. In addition to sleep apnea, hypopnea is also a respiratory event that occurs at an equal or even higher frequency compared to that of apnea. However, the two phenomena are not only different in terms of physical manifestation, there are also significant differences in the methods and means of clinical treatment. Therefore, in this study we propose an effective algorithm to distinguish between hypopnea and apnea events. We consider two aspects of feature extraction. On the one hand, from the original time-domain waveform of electrocardiogram signals, we extract the time difference sequence between the appearance of the R-R wave in two adjacent QRS waves (RR intervals) and explore the way they change when apnea and hypopnea event occur. On the other hand, considering that the degree of sequence disorder caused by hypopnea and apnea events is different, multi-scale entropy and complexity are chosen as the features that describe this change. The results obtained using the proposed algorithm show that the classification between hypopnea events and any type of apnea events all reach an accuracy rate greater than 90%. For obstructive apnea events, which occur most frequently among the three different types of apneas, the classification accuracy, sensitivity, specificity and F1-score were 91.78%, 92.21%, 91.30%, 92.20%, respectively. The classification results between central apnea events and hypopnea events reached an accuracy of 93.18%, sensitivity of 95.00%, specificity of 91.67% and F1-score of 92.68%. At the same time, the algorithm achieved an accuracy of 92.59%, sensitivity of 90.38%, specificity of 94.64% and F1-score of 92.16% when classifying mixed apnea and hypopnea events. In the classification of normal breathing, hypopnea events and apnea events, the total accuracy rate achieved was 91.92%, with that for normal breathing reaching 93.62%, for hypopnea events reaching 90.39%, and 91.91% for apnea events, with a Kappa coefficient of 0.99. The algorithm proposed in this study constitutes an efficient and convenient approach for apnea and hypopnea event detection and classification.

Published
2021
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4. Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs

Author

Hua, Min, Chen, Dong, Jiang, Kun, Zhang, Fanggang, Wang, Jinhai, Wang, Bo, Zhou, Quan, and Xu, Hongming

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Cooperative adaptive cruise control (CACC) has been recognized as a fundamental function of autonomous driving, in which platoon stability and energy efficiency are outstanding challenges that are difficult to accommodate in real-world operations. This paper studied the CACC of connected and autonomous vehicles (CAVs) based on the multi-agent reinforcement learning algorithm (MARL) to optimize platoon stability and energy efficiency simultaneously. The optimal use of communication bandwidth is the key to guaranteeing learning performance in real-world driving, and thus this paper proposes a communication-efficient MARL by incorporating the quantified stochastic gradient descent (QSGD) and a binary differential consensus (BDC) method into a fully-decentralized MARL framework. We benchmarked the performance of our proposed BDC-MARL algorithm against several several non-communicative andcommunicative MARL algorithms, e.g., IA2C, FPrint, and DIAL, through the evaluation of platoon stability, fuel economy, and driving comfort. Our results show that BDC-MARL achieved the highest energy savings, improving by up to 5.8%, with an average velocity of 15.26 m/s and an inter-vehicle spacing of 20.76 m. In addition, we conducted different information-sharing analyses to assess communication efficacy, along with sensitivity analyses and scalability tests with varying platoon sizes. The practical effectiveness of our approach is further demonstrated using real-world scenarios sourced from open-sourced OpenACC.

Published
2024

5. Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning

Author

Hua, Min, Shuai, Bin, Zhou, Quan, Wang, Jinhai, He, Yinglong, and Xu, Hongming

Subjects
Electrical Engineering and Systems Science - Systems and Control, Computer Science - Machine Learning
Abstract

The growing adoption of hybrid electric vehicles (HEVs) presents a transformative opportunity for revolutionizing transportation energy systems. The shift towards electrifying transportation aims to curb environmental concerns related to fossil fuel consumption. This necessitates efficient energy management systems (EMS) to optimize energy efficiency. The evolution of EMS from HEVs to connected hybrid electric vehicles (CHEVs) represent a pivotal shift. For HEVs, EMS now confronts the intricate energy cooperation requirements of CHEVs, necessitating advanced algorithms for route optimization, charging coordination, and load distribution. Challenges persist in both domains, including optimal energy utilization for HEVs, and cooperative eco-driving control (CED) for CHEVs across diverse vehicle types. Reinforcement learning (RL) stands out as a promising tool for addressing these challenges. Specifically, within the realm of CHEVs, the application of multi-agent reinforcement learning (MARL) emerges as a powerful approach for effectively tackling the intricacies of CED control. Despite extensive research, few reviews span from individual vehicles to multi-vehicle scenarios. This review bridges the gap, highlighting challenges, advancements, and potential contributions of RL-based solutions for future sustainable transportation systems.

Published
2023

10. Planning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario

Author

Chen, Guoying, Hua, Min, Liu, Wei, Wang, Jinhai, Song, Shunhui, and Liu, Changsheng

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Full drive-by-wire electric vehicles (FDWEV) with X-by-wire technology can achieve independent driving, braking, and steering of each wheel, providing a good application platform for autonomous driving technology. Path planning and tracking control, in particular, are critical components of autonomous driving. However, It is challenging to comprehensively design an robust control algorithm by integrating vehicle path planning in a complicated unstructured scenario for FDWEV. To address the above issue, this paper first proposes the artificial potential field (APF) method for path planning in the prescribed park with different static obstacles to generate the reference path information, where speed planning is incorporated considering kinematics and dynamic constraints. Second, two tracking control methods, curvature calculation (CC-based) and model predictive control (MPC-based) methods with the lateral dynamics model, are proposed to track the desired path under different driving conditions, in which a forward-looking behavior model of the driver with variable preview distance is designed based on fuzzy control theory. CarSim-AMESim-Simulink co-simulation is conducted with the existence of obstacles. The simulation results show that the proposed two control approaches are effective for many driving scenarios and the MPC-based path-tracking controller enhances dynamic tracking performance and ensures good maneuverability under high-dynamic driving conditions.

Published
2023

11. Aspect-Level Sentiment Analysis by Fusing Local Information with Graph Attention Networks

Author

Wang, Jinhai, Zhang, Haijun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, and Na, Zhenyu Na, editor

Published
2024
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12. An Adaptive Fourier Decomposition Method for Gear Fault Diagnosis of Railway Vehicle in the Non-stationary Process

Author

Hu, Zhongshuo, Li, Qiang, Wang, Jinhai, Yang, Jianwei, Yao, Dechen, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Yang, Jianwei, editor, Diao, Lijun, editor, Yao, Dechen, editor, and An, Min, editor

Published
2024
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13. Analysis of the Electromechanical Coupling Characteristics of the Traction Drive System of a Constant Torque Zone Body-Suspended Train

Author

Wang, Xuan, Wang, Jinhai, Huang, Ji, Fang, Hao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Yang, Jianwei, editor, Yao, Dechen, editor, Liu, Zhigang, editor, and Diao, Lijun, editor

Published
2024
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14. Adaptive Maximum High-Order Cyclostationarity Blind Deconvolution Method for Rolling Bearing Fault Diagnosis

Author

Wu, Yi, Wang, Jinhai, Yang, Jianwei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Yang, Jianwei, editor, Yao, Dechen, editor, Liu, Zhigang, editor, and Diao, Lijun, editor

Published
2024
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16. Efficacy of Polyethylene Glycol Electrolyte Powder Combined with Linaclotide for Colon Cleansing in Patients with Chronic Constipation undergoing colonoscopy: a Multi-centre, single-blinded, Randomized-Controlled Trial.

Author

Wang, Lianli, Zhang, Yue, Li, Jingyao, Ran, Yan, Wang, Xuehong, Ma, Xueqin, Yang, Qi, Wang, Fang, Hu, Jianping, Zhuang, Kun, Wang, Jinhai, Quan, Xiaojing, Wang, Shenhao, Meng, Ruiting, Chen, Yindi, Li, Xuerong, Song, Yahua, Han, Shuang, Hu, Huige, Li, Laifu, and Dai, Fei

Published
2024
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18. Contributors

Author

Amodio, Piero, primary, Amor, Michael, additional, Bo, Qikang, additional, Borges, Francisco, additional, Bower, John R., additional, Caamal-Monsreal, Claudia, additional, Caldwell, Roy L., additional, Carrasco, Sergio A., additional, Castellanos-Martínez, Sheila, additional, Che, Leo J., additional, Cisneros, Rosario, additional, Court, Melanie, additional, Dantas, Renato J.S., additional, Di Cosmo, Anna, additional, Díaz, Fernando, additional, Díaz-Santana-Iturrios, Mariana, additional, Farías, Ana, additional, Fiorito, Graziano, additional, Galindo-Sánchez, Clara E., additional, Gallardo, Pedro, additional, Gestal, Camino, additional, Gleadall, Ian G., additional, González, Ángel F., additional, González-Gómez, Roberto, additional, Guerra, Ángel, additional, Haimovici, Manuel, additional, Hall, Karina C., additional, Hanlon, Roger T., additional, Hofmeister, Jennifer K.K., additional, Hutchinson, Neil, additional, Ibáñez, Christian M., additional, Ikeda, Yuzuru, additional, Imperadore, Pamela, additional, Ivaylova, Silvina, additional, Juárez, Oscar E., additional, Kommritz, Juergen G., additional, Kuba, Michael, additional, Lajbner, Zdenek, additional, Leite, Tatiana S., additional, Lima, Françoise D., additional, Lishchenko, Fedor, additional, Lopes, Vanessa M., additional, López-Galindo, Laura L., additional, López-Rocha, Jorge, additional, Lourenço, Silvia, additional, Markaida, Unai, additional, Matos, Fábio L., additional, Moltschaniwskyj, Natalie A., additional, Monteiro, Silvia S., additional, Morillo-Velarde, Piedad S., additional, Nabhitabhata, Jaruwat, additional, Narvarte, Maite Andrea, additional, Noro, Kyosei, additional, Ortiz, Nicolas, additional, Otjacques, Eve, additional, Pardo-Gandarillas, María Cecilia, additional, Pascual, Cristina, additional, Pereira, João, additional, Petchkamnerd, Jinda, additional, Pierce, Graham J., additional, Pissarra, Vasco, additional, Pizzulli, Federica, additional, Polese, Gianluca, additional, Ponte, Giovanna, additional, Raffini, Francesca, additional, Re, Denisse, additional, Ren, Jing, additional, Rosa, Rui, additional, Rosas, Carlos, additional, Roumbedakis, Katina, additional, Roura, Álvaro, additional, Sakurai, Yasunori, additional, Sampaio, Eduardo, additional, Santos, Catarina P., additional, Scheel, David, additional, Segawa, Susumu, additional, Shau Hwai, Aileen Tan, additional, Simakov, Oleg, additional, Sobrino, Ignacio, additional, Storero, Lorena Pia, additional, Tang, Yan, additional, Tongtherm, Kittichai, additional, Tuanapaya, Surangkana, additional, Uriarte, Iker, additional, Ventura-López, Claudia, additional, Villanueva, Roger, additional, Voight, Janet R., additional, Voss, Kelley M., additional, Wang, Jinhai, additional, Williams, Becky L., additional, Xing, De, additional, Yamrungrueng, Anyanee, additional, and Zheng, Xiaodong, additional

Published
2024
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30. Efficacy of Polyethylene Glycol Electrolyte Powder Combined With Linaclotide for Colon Cleansing in Patients With Chronic Constipation Undergoing Colonoscopy: A Multicenter, Single-Blinded, Randomized Controlled Trial

Author

Wang, Lianli, Zhang, Yue, Li, Jingyao, Ran, Yan, Wang, Xuehong, Ma, Xueqin, Yang, Qi, Wang, Fang, Hu, Jianping, Zhuang, Kun, Wang, Jinhai, Quan, Xiaojing, Wang, Shenhao, Meng, Ruiting, Chen, Yindi, Li, Xuerong, Song, Yahua, Han, Shuang, Hu, Huige, Li, Laifu, and Dai, Fei

Published
2024
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32. Direct and pleiotropic effects of antimicrobial peptide transgene integration on reproductive, growth regulating, and non-coding loci in channel catfish (Ictalurus punctatus)

Author

Wang, Jinhai, Torres, Indira Medina, Shang, Mei, Al-Armanazi, Jacob, Dilawar, Hamza, Hettiarachchi, Darshika U., Paladines-Parrales, Abel, Chambers, Barrett, Pottle, Kate, Soman, Misha, Wise, Allison L., Simora, Rhoda Mae C., Bruce, Timothy J., Su, Baofeng, and Dunham, Rex A.

Published
2024
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38. CRISPR/Cas9-mediated knock-in of masu salmon (Oncorhyncus masou) elongase gene in the melanocortin-4 (mc4r) coding region of channel catfish (Ictalurus punctatus) genome

Author

Coogan, Michael, Xing, De, Su, Baofeng, Alston, Veronica, Johnson, Andrew, Khan, Mohd, Khalil, Karim, Elaswad, Ahmed, Li, Shangjia, Wang, Jinhai, Lu, Cuiyu, Wang, Wenwen, Hettiarachchi, Darshika, Shang, Mei, Hasin, Tasnuba, Qin, Zhenkui, Cone, Roger, Butts, Ian A. E., and Dunham, Rex A.

Published
2023
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44. L-EfficientUNet: Lightweight End-to-End Monocular Depth Estimation for Mobile Robots

Author

Liu, Xiangyu, Chen, Junyan, Zhou, Yan, Zhou, Yuexia, Wang, Jinhai, Ou, Xiaoquan, Lei, Haotian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Huayong, editor, Liu, Honghai, editor, Zou, Jun, editor, Yin, Zhouping, editor, Liu, Lianqing, editor, Yang, Geng, editor, Ouyang, Xiaoping, editor, and Wang, Zhiyong, editor

Published
2023
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49. CRISPR/Cas9 microinjection of transgenic embryos enhances the dual-gene integration efficiency of antimicrobial peptide genes for bacterial resistance in channel catfish, Ictalurus punctatus

Author

Wang, Jinhai, Su, Baofeng, Bruce, Timothy J., Wise, Allison L., Zeng, Peng, Cao, Guanqun, Simora, Rhoda Mae C., Bern, Logan, Shang, Mei, Li, Shangjia, Xing, De, Wang, Wenwen, Johnson, Andrew, Coogan, Michael, Hettiarachchi, Darshika U., Al-Armanazi, Jacob, Farias, Renata S., and Dunham, Rex A.

Published
2023
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