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Unraveling the Interfacial Charge Migration Pathway at the Atomic Level in a Highly Efficient Z‐Scheme Photocatalyst

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Angewandte Chemie 2019年第33期131卷

作者： Pengfei Wang Yueshuang Mao Lina Li Zhurui Shen Xiao Luo Kaifeng Wu Pengfei An Haitao Wang Lina Su Yi Li Sihui Zhan MOE Key Laboratory of Pollution Processes and Environmental Criteria Tianjin Key Laboratory of Environmental Remediation and Pollution Control College of Environmental Science and Engineering Nankai University Tianjin 300350 P. R. China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Shanghai 201800 P. R. China School of Materials Science and Engineering Nankai University Tianjin 300350 P. R. China State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 P. R. China Beijing Synchrotron Radiation Facility Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 P. R. China Department of Chemistry Tianjin University Tianjin 300072 P. R. China

A highly efficient Z‐scheme photocatalytic system constructed with 1D CdS and 2D CoS 2 exhibited high photocatalytic hydrogen‐evolution activity of 5.54 mmol h −1 g −1 with an apparent quantum efficiency of 10.2 % at 420 nm. More importantly, its interfacial charge migration pathway was unraveled: The electrons are efficiently transferred from CdS to CoS 2 through a transition atomic layer connected by Co–S 5.8 coordination, thus resulting in more photogenerated carriers participating in surface reactions. Furthermore, the charge‐trapping and charge‐transfer processes were investigated by transient absorption spectroscopy, which gave an estimated charge‐separation yield of approximately 91.5 % and a charge‐separated‐state lifetime of approximately (5.2±0.5) ns in CdS/CoS 2 . This study elucidates the key role of interfacial atomic layers in heterojunctions and will facilitate the development of more efficient Z‐scheme photocatalytic systems.

关键词： Direkte Z-Schema-Photokatalysatoren Heteroübergänge Ladungsmigration Photokatalyse Schnittstellen

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Harmony search algorithm with differential evolution based control parameter co-evolution and its application in chemical process dynamic optimization

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Journal of Central South University 2015年第6期22卷 2227-2237页

作者：范勤勤王循华颜学峰 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education (East China University of Science and Technology)

A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rate and pitch adjusting rate, are encoded as a symbiotic individual of an original individual(i.e., harmony vector). Harmony search operators are applied to evolving the original population. DE is applied to co-evolving the symbiotic population based on feedback information from the original population. Thus, with the evolution of the original population in DEHS, the symbiotic population is dynamically and self-adaptively adjusted, and real-time optimum control parameters are obtained. The proposed DEHS algorithm has been applied to various benchmark functions and two typical dynamic optimization problems. The experimental results show that the performance of the proposed algorithm is better than that of other HS variants. Satisfactory results are obtained in the application.

关键词： harmony search differential evolution optimization co-evolution self-adaptive control parameter dynamic optimization

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Fault diagnosis and process monitoring using a statistical pattern framework based on a self-organizing map

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Journal of Central South University 2015年第2期22卷 601-609页

作者：宋羽姜庆超颜学峰 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education(East China University of Science and Technology)

A multivariate method for fault diagnosis and process monitoring is proposed. This technique is based on a statistical pattern(SP) framework integrated with a self-organizing map(SOM). An SP-based SOM is used as a classifier to distinguish various states on the output map, which can visually monitor abnormal states. A case study of the Tennessee Eastman(TE) process is presented to demonstrate the fault diagnosis and process monitoring performance of the proposed method. Results show that the SP-based SOM method is a visual tool for real-time monitoring and fault diagnosis that can be used in complex chemical *** with other SOM-based methods, the proposed method can more efficiently monitor and diagnose faults.

关键词： statistic pattern framework self-organizing map fault diagnosis process monitoring

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Concentrate your mind by counting the flashing point: A new P300 pattern in BCI

Concentrate your mind by counting the flashing point: A new ...

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International Conference on Information Science and Technology (ICIST)

作者： Hanhan Zhang Huiping Hu Sijie Zhou Xingyu Wang Jing Jin Key Laboratory of Advanced Control and Optimization for Chemical Processes University of Science and Technology Shanghai China

ISBN: (纸本)9781509012251

Brain-computer interface (BCI) can help patients who lost control over most muscles but are still conscious to communicate or interact with the environment. In the offline experiment, all the subjects have to do is counting the target stimulus when they were using the visual-evoked event-related potential (ERP) based BCIs. The recorded electroencephalogram (EEG) data was used to train the classification mode. However, subjects may get distracted in counting the target stimulus when the non-target stimulus affected the subjects or subjects lost their attentions which may negatively affect the task performance. In this study, some green flashing points was added into the stimuli. The subjects have to focus on the target stimulus and count the number of the green points in target stimulus at the same time. In this way, it will make subjects concentrate more on the target to count the green points compared to the pattern without green points. The result showed that the performance of the BCI system could be improved using the method presented in this paper.

关键词： P300 brain-computer interface (BCI) concentration event-related potentials (ERP)

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Robust order scheduling in the fashion industry: A multi-objective optimization approach

arXiv

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arXiv 2017年

作者： Du, Wei Tang, Yang Leung, Sunney Yung Sun Tong, Le Vasilakos, Athanasios V. Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Institute of Textile and Clothing Hong Kong Polytechnic University Hong Kong Hong Kong Department of Computer Science Electrical and Space Engineering Lulea University of Technology Lulea97187 Sweden

—In the fashion industry, order scheduling focuses on the assignment of production orders to appropriate production lines. In reality, before a new order can be put into production, a series of activities known as pre-production events need to be completed. In addition, in real production process, owing to various uncertainties, the daily production quantity of each order is not always as expected. In this research, by considering the pre-production events and the uncertainties in the daily production quantity, robust order scheduling problems in the fashion industry are investigated with the aid of a multi-objective evolutionary algorithm (MOEA) called nondominated sorting adaptive differential evolution (NSJADE). The experimental results illustrate that it is of paramount importance to consider pre-production events in order scheduling problems in the fashion industry. We also unveil that the existence of the uncertainties in the daily production quantity heavily affects the order scheduling. Copyright © 2017, The Authors. All rights reserved.

关键词： Multiobjective optimization

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Attack Frequency Estimation of Networked control Systems under Denial of Service with Energy Constraints

Attack Frequency Estimation of Networked Control Systems und...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Hongtao Sun Chen Peng Wangli He Zhiwen Wang School of Mechatronic Engineering and Automation Shanghai University Shanghai China Shandong Foreign Languages Vocational College School of Information Engineering Rizhao China The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China

This paper addresses the attack frequency estimation for networked control systems suffering from denial of service (DoS) attacks. First, the networked control systems (NCSs) subjecting to DoS attacks are modeled as switched systems between normal systems and attacked systems. Secondly, by considering the worst scenario of DoS attacks with energy constraints, the maximum allowable update interval is well characterized under consideration of the limitation of the event-triggered control scheme and discrete sampling. Then, by use of Lyapunov theory, a stability criterion is derived to obtain the maximum number of DoS attacks while ensuring the globally exponentially stable of studied system. Finally, an example is used to show the validity of proposed results.

关键词： Switched systems Stability criteria Networked control systems Security Switches

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Joint Probability Density and Weighted Probabilistic PCA Based on Coefficient of Variation for Multimode Process Monitoring

Joint Probability Density and Weighted Probabilistic PCA Bas...

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2016 International Conference on Artificial Intelligence: Techniques and Applications(AITA 2016)

作者： Tian-xian ZHU Jian HUANG Xue-feng YAN Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

For probabilistic monitoring of multimode processes,this paper introduced a monitoring scheme that integrates joint probability density and weighted probabilistic principal component analysis based on coefficient of variation(CV-WPPCA). A joint probability based on 2 statistic was constructed for mode identification. After it concentrated maximum fault-relevant information into dominant subspace by identifying and extracting important noise factors from the residual subspace,the new approach utilized a weighting strategy based on coefficient of variation method to highlight the useful information in the reconstructed dominant subspace. A case study on the Tennessee Eastman process was applied to demonstrate the efficiency of the proposed method.

关键词： Multimode process monitoring Joint probability Weighted probabilistic PCA Coefficient of variation

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EXPLORING(C)OVERT ATTENTION FOR MULTI-OBJECTIVE GAZE-INDEPENDENT BCIS, VISUAL ANGLE NOT EXCEEDING 1 DEGREE

EXPLORING(C)OVERT ATTENTION FOR MULTI-OBJECTIVE GAZE-INDEPEN...

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2016 4th IEEE International Conference on Cloud Computing and Intelligence Systems（IEEE CCIS2016）

作者： Sijie Zhou Long Chen Yu Zhang Jing Jin Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781509012572

Studies had reported that the performance of multi-objective gaze-independent BCIs under covert attention conditions was lower than the matrix speller BCIs under overt attention conditions. However, no research has compared the performance of multi-objective gaze-independent BCIs under covert attention conditions with under overt attention conditions,when visual angle doesn't exceed 1o. For exploration of the above problem, two paradigms developed from Geometric Speller(Geo Spell) have been built. Ten healthy participants had participated in this study. Results show that the performance of the gaze-independent BCI is substantially higher when the participant could gaze directly at targets. However, the multi-objective gaze-independent BCIs under covert attention conditions are competitive in terms of evoking N200(p<0.05).

关键词： Brain computer interface event-related potentials multi-objective gaze-independent

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A gaze-independent BCI paradigm used dummy face with only eyes region as stimuli

A gaze-independent BCI paradigm used dummy face with only ey...

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International Conference on Information Science and Technology (ICIST)

作者： Long Chen Sijie Zhou Yu Zhang Jing Jin Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

The gaze-independent brain-computer interface (BCI) based on rapid serial visual presentation (RSVP) is an extension of the oddball paradigm, and can facilitate communication for people with severe neuromuscular disorders. Recently, some researches showed that the gaze-independent BCIs based on RSVP used dummy face pictures as stimuli obtained high performance. However, the user' fatigue wasn't be fully considered. Therefore, it is necessary to reduce users' fatigue and to further improve the performance of them. Some studies suggested that face elicited high event related potential (ERP) were mediated by the eye region. That is, face with only eyes region could evoke as high ERPs as completed face. In this paper, an improved paradigm was presented which used dummy face with only eyes region as stimulus. Ten healthy subjects participated in our experiment. Compared with the complete dummy face stimulus, the results showed that the dummy face with only eyes region stimulus could evoke higher N200 and VPP amplitudes. Results from users' feedback also showed the dummy face with only eyes region pattern made them more relaxed.

关键词： Decision support systems

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Improvement of Echo State Network Generalization by Selective Ensemble Learning Based on BPSO

Improvement of Echo State Network Generalization by Selectiv...

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2016第二届电气工程与工业工程国际会议

作者： Xiaodong Zhang Xuefeng Yan Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

The Echo State Network(ESN) is a novel and special type of recurrent neural network that has become increasingly popular in machine learning domains such as time series forecasting, data clustering, and nonlinear system identification. This network is characterized by large randomly constructed recurrent neural networks(RNN) called "reservoir", in which the neurons are sparsely connected and the weights remain unchanged during training, leaving the simple training of the output layer. However, the reservoir is criticized for its randomness and instability because of the random initialization of the connectivity and weights. In this article, we introduced the selective ensemble learning based on BPSO to improve the generalization performance of ESN. Two widely studied tasks are used to prove the feasibility and priority of the selective ESN ensemble based on BPSO(SESNE-BPSO) model. And the results indicate that the SESNE-BPSO model performs better than the general ESN ensemble, the single standard ESN and several other improved ESN models.

关键词： Echo State Network Reservoir Computing Artificial Neural Network Ensemble Learning Selective Ensemble Particle Swarm Optimization

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