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- RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSJin, Long Yan, Jingkun Du, Xiujuan Xiao, Xiuchun Fu, Dongyang 出版年：2020
- A generalized Sylvester equation is a special formulation containing the Sylvester equation, the Lyapunov equation and the StEIn equation, which is often encountered in various fields. However, the time-variant generaliz...
- Internet of Things in Marine Environment Monitoring: A Review
- SENSORSXu, Guobao Shi, Yanjun Sun, Xueyan Shen, Weiming 出版年：2019
- Marine environment monitoring has attracted more and more attention due to the growing concern about climate change. During the past couple of decades, advanced information and communication technologies have been applie...
- A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators
- IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGYXie, Zhengtai Jin, Long Luo, Xin Li, Shuai Xiao, Xiuchun 出版年：2021
- Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model inf...
- Multiscale attention-based LSTM for ship motion prediction
- OCEAN ENGINEERINGZhang, Tao Zheng, Xiao-Qing Liu, Ming-Xin 出版年：2021
- Ship motion prediction is applied to the shipboard stabilized platform to keep the equipment on the platform stable all the time, which is of great practical significance to the safety and efficiency of shipboard equipme...
- Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion
- NEUROCOMPUTINGLiao, Shan Liu, Jiayong Xiao, Xiuchun Fu, Dongyang Wang, Guancheng Jin, Long 出版年：2020
- In scientific and engineering fields, the solutions to many problems can be transformed into finding the solutions to Sylvester equation, for which various computational methods (e.g., recurrent neural network, RNN) have...
- Uniform resistive switching properties of fully transparent TiO2-based memory devices
- JOURNAL OF ALLOYS AND COMPOUNDSZou, Lilan Hu, Wei Xie, Wei Bao, Dinghua 出版年：2017
- Uniform resistive switching properties were observed in fully transparent indium-tin-oxide (ITO)/TiO2 film/F-doped SnO2 (FTO) devices where the TiO2 films were fabricated by chemical solution deposition method. In additi...
- A High-Sensitive Fiber-Optic Fabry-Perot Sensor With Parallel Polymer-Air Cavities Based on Vernier Effect for Simultaneous Measurement of Pressure and Temperature
- IEEE SENSORS JOURNALPan, Rui Yang, Wenlong Li, Linjun Yang, Yuqiang Zhang, Lijie Yu, Xiaoyang Fan, Jianying Yu, Shuang Xiong, Yanling 出版年：2021
- A novel high-sensitive fiber-optic Fabry-Perot sensor with parallel polymer-air cavities based on Vernier effect was proposed and demonstrated for simultaneous measurement of pressure and temperature. The sensor is compo...
- A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion
- INFORMATION SCIENCESXiao, Xiuchun Jiang, Chengze Lu, Huiyan Jin, Long Liu, Dazhao Huang, Haoen Pan, Yi 出版年：2020
- This paper analyzes the existing zeroing neural network (ZNN) models from the perspective of control theory. It proposes an exclusive ZNN model for solving the dynamic complex-valued matrix Moore-Penrose inverse problem:...
- A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems
- IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSXiao, Xiuchun Xiong, Neal N. Lai, Jianhuang Wang, Chang-Dong Sun, Zhenan Yan, Jingwen 出版年：2021
- The issue of impulse noise detection and reduction is a critical problem for image processing application systems. In order to detect impulse noises in corrupted images, a statistic named local consensus index (LCI) is p...
- Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSJiang, Chengze Xiao, Xiuchun Liu, Dazhao Huang, Haoen Xiao, Hua Lu, Huiyan 出版年：2021
- Many methods are known to solve the problem of real-valued and static quadratic programming (QP) effectively. However, few of them are still useful to solve the time-varying QP problem in the complex domain. In this stud...
- Multi-Source Data Analysis of Mesoscale Eddies and ThEIr Effects on Surface Chlorophyll in the Bay of Bengal
- REMOTE SENSINGYang, Xiao Xu, Guangjun Liu, Yu Sun, Wenjin Xia, Changshui Dong, Changming 出版年：2020
- Mesoscale eddies are important to ocean circulation due to thEIr roles in the transport of mass, energy, and heat. This study employs a combination of data sources to initiate a statistical analysis of eddy spatiotempora...
- Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation
- IEEE ACCESSYan, Jingkun Xiao, Xiuchun Li, Hongxin Zhang, Jiliang Yan, Jingwen Liu, Mei 出版年：2019
- As a crucial means for stability analysis in control systems, the Lyapunov equation is applied in many fields of science and engineering. There are some methods proposed and studied for solving the non-stationary Lyapuno...
- Two neural dynamics approaches for computing system of time-varying nonlinear equations
- NEUROCOMPUTINGXiao, Xiuchun Fu, Dongyang Wang, Guancheng Liao, Shan Qi, Yimeng Huang, Haoen Jin, Long 出版年：2020
- The problem of solving time-varying nonlinear equations has recEIved much attention in many fields of science and engineering. In this paper, firstly, considering that the classical gradient-based neural dynamics (GND) m...
- Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations
- INFORMATION SCIENCESWang, Guancheng Hao, Zhihao Zhang, Bob Jin, Long 出版年：2022
- Recurrent neural networks have been reported as an effective approach to solve dynamic Lyapunov equations, which widely exist in various application fields. Considering that a bounded activation function should be impose...
- Modified Newton Integration Neural Algorithm for Dynamic Complex-Valued Matrix Pseudoinversion Applied to Mobile Object Localization
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSHuang, Haoen Fu, Dongyang Xiao, Xiuchun Ning, Yangyang Wang, Huan Jin, Long Liao, Shan 出版年：2021
- A dynamic complex-valued matrix pseudoinversion (DCVMP) is encountered in some special environments, where the system parameters contain the dynamic, magnitude, and phase information. Currently, most of the existing mode...
- Tuning dielectric properties and energy density of poly(vinylidene fluoride) nanocomposites by quasi core-shell structured BaTiO3@graphene oxide hybrids
- JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICSLi, Yunming Yang, Wenhu Ding, Shanjun Fu, Xian-Zhu Sun, Rong Liao, Wei-Hsin Wong, Ching-Ping 出版年：2018
- High energy density polymer-based nanocomposites have shown significant potential in modern electronic devices. However, it is still a great challenge to achieve high dielectric permittivity and low dielectric loss witho...
- Hierarchical graphite foil/CoNi2S4 flexible electrode with superior thermal conductivity for high-performance supercapacitors
- JOURNAL OF ENERGY CHEMISTRYLi, Yunming Chen, Jiahui Ji, Yaqiang Yang, Wenhu Fu, Xian-Zhu Sun, Rong Wong, Ching-Ping 出版年：2018
- Effective heat dissipation is a crucial issue in electrochemical energy storage devices. Thus, it is highly desirable to develop high-performance electrode materials with high thermal conductivity. Here, we report a faci...
- Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded
- MICROMACHINESLiu, Liankun Chen, Liang Wang, Saijie Yin, Yi Liu, Dazhuang Wu, Sen Liu, Zhijian Pan, Xinxiang 出版年：2019
- The inductive detection of wear debris in lubrication oil is an effective method to monitor the machine status. As the wear debris is usually micro scale, a micro inductive sensor is always used to detect them in researc...
- Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection
- IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTINGYing Liufu Jin, Long Xu, Jinqiang Xiao, Xiuchun Fu, Dongyang 出版年：2022
- Equality-constrained optimization problem captures increasing attention in the fields of computer science, control engineering, and applied mathematics. Almost all of the relevant issues suffer from kinds of intense or w...
- An Integration-Implemented Newton-Raphson Iterated Algorithm With Noise Suppression for Finding the Solution of Dynamic Sylvester Equation
- IEEE ACCESSWang, Guancheng Huang, Haoen Yan, Jingkun Cheng, Yihang Fu, Dongyang 出版年：2020
- Solving dynamic Sylvester matrix equations is a prevalent research topic and many methods have been arisen to solve the dynamic Sylvester equation, but few of them consider the noise effect. To investigate the new approa...
- A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems
- INFORMATION SCIENCESWang, Guancheng Huang, Haoen Shi, Limei Wang, Chuhong Fu, Dongyang Jin, Long Xiao Xiuchun 出版年：2021
- The Newton-Raphson iteration (NRI) algorithm is a prevalent computational methodology in many fields and can be used to solve the time-varying Lyapunov equation. However, the performance of the traditional NRI (TNRI) alg...
- Ultrafast dynamics of 4f electron spins in TbFeCo film driven by inter-atomic 3d-5d-4f exchange coupling
- NEW JOURNAL OF PHYSICSChen, Zhifeng Li, Shufa Zhou, Shiming Lai, Tianshu 出版年：2019
- The ultrafast demagnetization dynamics of 3d and 4f spins, respectively, in FeCo and Tb of TbFeCo alloy film are studied independently by employing a dual-color time-resolved magneto-optical Kerr spectroscopy. The demagn...
- High-sensitive fiber-optic pressure sensor based on Fabry-Perot interferometer filled with ultraviolet glue film and Vernier effect
- OPTICAL FIBER TECHNOLOGYPan, Rui Yang, Wenlong Li, Linjun Yang, Yuqiang Yu, Xiaoyang Fan, Jianying Yu, Shuang Xiong, Yanling Zhang, Lijie 出版年：2021
- A high sensitivity fiber-optic pressure sensor based on Fabry-Perot interferometer filled with ultraviolet (UV) glue film and Vernier effect was proposed and demonstrated. The sensor is composed of a sensing Fabry-Perot ...
- Parallel Polydimethylsiloxane-Cavity Fabry-Perot Interferometric Temperature Sensor Based on Enhanced Vernier Effect
- IEEE SENSORS JOURNALMu, Xiaoguang Gao, Jiale Yang, Yuqiang Wang, Ji Bi, Lei 出版年：2022
- This study proposes an experimental implementation of temperature sensing system to study the enhanced Vernier effect using two polydimethylsiloxane (PDMS)-cavity Fabry-Perot interferometers (FPIs) arranged in parallel. ...
- A Novel Multichannel Inductive Wear Debris Sensor Based on Time Division Multiplexing
- IEEE SENSORS JOURNALWu, Sen Liu, Zhijian Yu, Kezhen Fan, Zixiao Yuan, Ziyi Sui, Zhuohang Yin, Yi Pan, Xinxiang 出版年：2021
- Inductive wear debris sensor has been proved to be an effective device for lubricant oil condition monitoring and fault diagnosis. However, the narrow internal diameter of current sensing coil, designed for high sensitiv...
- Dissolved oxygen responses to tropical cyclones "Wind Pump" on pre-existing cyclonic and anticyclonic eddies in the Bay of Bengal
- MARINE POLLUTION BULLETINXu, Huabing Tang, Danling Liu, Yupeng Li, Ying 出版年：2019
- This study examines how dissolved oxygen (DO) responds to tropical cyclones (TCs) "Wind Pump" in a preexisting cyclonic and an anticyclonic eddy over the Bay of Bengal (BoB) based on Argo and satellite data. Both TCs ind...
- All-Fiber Fabry-Perot Interferometer Gas Refractive Index Sensor Based on Hole-Assisted One-Core Fiber and Vernier Effect
- IEEE SENSORS JOURNALPan, Rui Yang, Wenlong Li, Linjun Yang, Yuqiang Yu, Xiaoyang Fan, Jianying Yu, Shuang Xiong, Yanling Zhang, Lijie 出版年：2021
- A novel high sensitivity all-fiber Fabry-Perot interferometer (FPI) gas refractive index (RI) sensor based on hole-assisted one-core fiber (HAOCF) and Vernier effect was proposed and demonstrated. The sensor is fabricate...
- Stability analysis of incremental concept tree for concept cognitive learning
- INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICSZhang, Tao Rong, Mei Shan, Haoran Liu, Mingxin 出版年：2022
- Incremental concept cognitive learning is an emerging active issue that concerning incremental concept learning and dynamic knowledge processing in the dynamic context environments. As the development of that, how to mea...
- Multi-Scale Ship Detection Algorithm Based on YOLOv7 for Complex Scene SAR Images
- REMOTE SENSINGChen, Zhuo Liu, Chang Filaretov, V. F. Yukhimets, D. A. 出版年：2023
- Recently, deep learning techniques have been extensively used to detect ships in synthetic aperture radar (SAR) images. The majority of modern algorithms can achieve successful ship detection outcomes when working with m...
- A game theory-based controller approach for identifying incidents caused by aberrant lane changing behavior
- PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONSSheikh, Muhammad Sameer Wang, Ji Regan, Amelia 出版年：2021
- Aggressive driving is a key contributor to traffic incidents which deteriorate traffic flow, increase traffic congestion, and pose serious threats to driver and passenger safety. This paper presents a methodology for the...
