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Enhanced Electrical Properties of Styrene-grafted Polypropylene Insulation for Bulk Power Transmission HVDC Cables

CSEE Journal of Power and Energy systems 2024年第1期10卷 361-370页

作者： Hao Yuan Shixun Hu Yao Zhou Chao Yuan Wenbo Song Qing Shao Hongwei Shi Juan Li Jun Hu Qi Li Jinliang He SINOPEC Beijing Research Institute of Chemical Industry Beijing 100013China State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

Polypropylene(PP)is considered to be a rather promising material for HVDC cable *** modification has proved to be an effective method on the electrical property improvements of *** paper reports on the highlyenhanced electrical properties of styrene-grafted polypropylene(PP-g-St)and their related *** influence of grafting styrene on crystallization structures,thermal properties and electrical properties of PP-g-St are characterized and *** results show that PP-g-St exhibits remarkably enhanced DC volume resistivity,suppressed space charge accumulation and improved DC breakdown strengths as compared to *** observation shows PP-g-St has small,imperfect spherulites with indistinct boundaries,which is strongly correlated to enhanced electrical *** study provides an effective grafting strategy to design high-performance HVDC cable insulation materials for bulk power transmission systems.

关键词： Electrical properties grafting modification polypropylene styrene

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Screening and pilot-scale evaluation of a highly efficient pesticide-degrading Pseudomonas *** BL5

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Chinese Journal of chemical engineering 2024年第10期74卷 287-294页

作者： Rui Chen Xinyu Zuo He Bai Ruolin Qin Zhiguo Chen Yiyun Liu Wenqing Cao Jingpeng Song Xiaoqiang Jia Department of Biochemical Engineering School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China Tianjin Huakan Environmental Protection Technology Co. Ltd.Tianjin 300170China Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300350China

The widespread use of pesticides has caused serious harm to ecosystems,necessitating effective and environmentally friendly treatment *** stands out as a promising approach for pollutant treatment,wherein the metabolic activities of microorganisms can transform toxic pesticides into compounds with lower or no *** this study,we obtained eight pesticide-degrading strains from pesticide-contaminated sites through continuous enrichment and *** highly efficient pesticide-degrading strains(degradation ratios exceeding 80%)were *** them,Pseudomonas ***5 exhibited the strongest growth(exceeding 10^(9) CFU·ml^(-1))and outstanding degradation of benzene derivatives and chlorinated hydrocarbons at both laboratory and pilot scales,with degradation ratios exceeding 98%and 99.6%,*** research provides new tools and insights for the bioremediation of pesticide-related pollutants.

关键词： Pesticides Pilot-scale Degradation Remediation Pseudomonas sp. Benzene

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Open-loop equilibrium seeking in two-agent noncooperative linear-quadratic dynamic game with asymmetric horizon length

Open-loop equilibrium seeking in two-agent noncooperative li...

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作者： Wasa, Yasuaki Tanaka, Taichi Hayakawa, Tomohisa Department of Electrical Engineering and Bioscience Waseda University Tokyo Japan Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan

This article proposes an iterative-based algorithm for open-loop equilibrium seeking in a two-agent noncooperative dynamic game. The finite-horizon dynamic games handled in almost all existing articles assume the common prediction horizon length. From the viewpoint of divergence and differences in personal values, it is socially rational to solve the equilibrium of the games with asymmetric prediction horizon length. We thus propose an open-loop equilibrium-seeking algorithm without the private knowledge of the other agent's horizon information through a receding-horizon linear-quadratic game. Our proposed algorithm is based on iterative optimization. Each agent obtains its own best response control strategy while estimating the other agent's state feedback gain from the state information and guaranteeing the stability of the whole system. We also discuss the performance of the proposed equilibrium-seeking algorithm through numerical examples. © 2023 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd.

关键词： Iterative methods

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CFD simulation of hydrodynamics and mixing performance in dual shaft eccentric mixers

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Chinese Journal of chemical engineering 2023年第10期62卷 297-309页

作者： Songsong Wang Xia Xiong Peiqiao Liu Qiongzhi Zhang Qian Zhang Changyuan Tao Yundong Wang Zuohua Liu School of Chemistry and Chemical Engineering Chongqing UniversityChongqing 400044China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing 400044China School of Mechanical and Transportation Engineering Chongqing UniversityChongqing 400044China Department of Chemical Engineering Tsinghua UniversityBeijing 100084China

This work aims to systematically study hydrodynamics and mixing characteristics of non-Newtonian fluid(carboxyl methyl cellulose,CMC)in dual shaft eccentric *** rheology was described by the power law rheological *** fluid dynamics was employed to simulate the velocity field and shear rate inside the stirred *** influence mechanism of the rotational modes,height difference between impellers,impeller eccentricities,and impeller types on the flow field have been well *** studied the performance of different dual-shaft eccentric mixers at the constant power input with its fluid velocity profiles,average shear strain rate,mixing time and mixing *** counter-rotation mode shows better mixing performance than co-rotation mode,and greater eccentricity can shorten mixing time on the basis of same stirred *** intensify the hydrodynamic interaction between impellers and enhance the overall mixing performance of the dual shaft eccentric mixers,it is critical to have a reasonable combination of impellers and an appropriate spatial position of impellers.

关键词： Dual shaft eccentric mixers Non-Newtonian fluid Mixing Laminar flow Computational fluid dynamics

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Achieving stable partial nitrification through synergistic inhibition of free ammonia and salinity on nitrite-oxidizing bacteria

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Frontiers of Environmental Science & engineering 2025年第4期19卷 1-13页

作者： Kaiqi Xiao Rui Tang Jun Wei Jun Wu Yanjun Shao Zihang Ma Libing Wang Zhenhu Hu Zhen Zhou Shanghai Engineering Research Center of Energy-Saving in Heat Exchange Systems College of Environmental and Chemical EngineeringShanghai University of Electric PowerShanghai 200090China Huadong Engineering Corporation Limited Hangzhou 311122China Shanghai Chengtou Wastewater Treatment Co. Ltd.Shanghai 201203China Department of Municipal Engineering School of Civil EngineeringHefei University of TechnologyHefei 230009China

Partial nitrification(PN)is a highly promising strategy for energy-and carbon-efficient wastewater *** suppressing nitrite-oxidizing bacteria(NOB)is a critical challenge for stable PN *** work presents a NOB inhibition strategy on the basis of intrinsic substances in wastewater,namely salt and free ammonia(FA).Three different start-up strategies were adopted:1)first increasing NH_(4)^(+)-N and then increasing salinity,2)first increasing NH_(4)^(+)-N and then increasing salinity,and 3)increasing NH_(4)^(+)-N and salinity *** FA or salinity alone caused a temporary decrease in nitrite oxidation efficiency,resulting in a nitrite accumulation rate(NAR)<35%.Under their combined effect,NAR>80%was achieved beginning on day 8(0.61 mg FA/L and 5 g NaCl/L),with a sustained increase in NAR,demonstrating the synergistic inhibitory effect of salinity and FA on NOB *** contrast,the enzymatic activity of ammonia-oxidizing bacteria(AOB)increased by 159.5%-203.9%due to the increased concentration of the substrate NH_(4)^(+)-*** response to the three combined inhibition strategies,polysaccharide excretion was stimulated in all stratified extracellular polymeric substances,while the synergistic effect of FA and salinity further enhanced protein *** PN initiation with the three strategies,Nitrospira,the only NOB observed,was nearly washed out,and Nitrosomonas became the dominant *** strategy of simultaneously increasing FA and salinity led to the greatest abundance of Nitrosomonas(28.42%).This study offers a novel strategy to achieve PN,which is beneficial for promoting PN-based carbon-efficient wastewater treatment.

关键词： Nitritation Salinity Free ammonia Synergistic inhibition Nitrite-oxidizing bacteria

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DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases

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Neural Computing and Applications 2025年第15期37卷 8799-8823页

作者： Talaat, Fatma M. Shams, Mahmoud Y. Gamel, Samah A. ZainEldin, Hanaa Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh33516 Egypt Faculty of Computer Science and Engineering New Mansoura University Gamasa35712 Egypt Faculty of Engineering Horus University Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt

Plant diseases can cause severe losses in agricultural production, impacting food security and safety. Early detection of plant diseases is crucial to minimize crop damage and ensure agricultural sustainability. Manual monitoring is often impractical due to the complexity and time involved, making automated disease recognition essential. This study presents a new Plant Disease Detection Algorithm (PDDA) called DeepLeaf focused on identifying four common grapevine diseases: leaf blight, black rot, stable, and black measles. The PDDA integrates three key modules: an Image Preprocessing Module, a Feature Extraction Module, and an Optimized Convolutional Neural Network (OCNN)-based Classification Module. The OCNN forms the core of the classification system, with its hyperparameters fine-tuned using fuzzy optimization to enhance performance. Preprocessing techniques are applied to analyze diseased leaves, and a logistic regression algorithm is used to downsample the features for better analysis. The CNN is trained on images from the Plant Village dataset, allowing it to detect and classify grapevine leaf diseases accurately. The proposed model's efficiency in the automated diagnosis of grapevine diseases is demonstrated by its remarkable 99.7% accuracy rate. This high accuracy indicates that the PDDA may help with more effective and scalable plant disease monitoring, which will ultimately allow better agricultural practices. © The Author(s) 2025.

关键词： CNN Detection of leaf disease Extracting features Plant disease

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Data-driven intelligent modeling framework for the steam cracking process

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Chinese Journal of chemical engineering 2023年第9期61卷 237-247页

作者： Qiming Zhao Kexin Bi Tong Qiu Department of Chemical Engineering Tsinghua UniversityBeijing 100084China Beijing Key Laboratory of Industrial Big Data Systems and Applications Tsinghua UniversityBeijing 100084China School of Chemical Engineering Sichuan UniversitySichuan 610065China Department of Bioprocess Engineering Institute of BiotechnologyTechnische Universität BerlinBerlin 10623Germany

Steam cracking is the dominant technology for producing light olefins,which are believed to be the foundation of the chemical *** models of the cracking process can boost production efficiency and profit *** advancements in machine learning research have recently enabled data-driven solutions to usher in a new era of process ***,its practical application to steam cracking is still hindered by the trade-off between prediction accuracy and computational *** research presents a framework for data-driven intelligent modeling of the steam cracking *** data preparation and feature engineering techniques provide computational-ready datasets for the framework,and feedstock similarities are exploited using k-means *** propose LArge-Residuals-Deletion Multivariate Adaptive Regression Spline(LARD-MARS),a modeling approach that explicitly generates output formulas and eliminates potentially outlying *** framework is validated further by the presentation of clustering results,the explanation of variable importance,and the testing and comparison of model performance.

关键词： Mathematical modeling Data-driven modeling Process systems Steam cracking Clustering Multivariate adaptive regression spline

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A Lightweight Target Following Architecture for Indoor Mobile Robot 25

A Lightweight Target Following Architecture for Indoor Mobil...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Wang, Fuli Hutabarat, Windo Tiwari, Ashutosh The University Of Sheffield Department Of Automatic Control And Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798350340266

Manufacturing efficiency and transport operations are being significantly improved by mobile robots. As the implementation of a configurable, lightweight, and stateof-the-art robotic system is required for current manufacturing sectors to maximize the use of mobile robots, this paper presents a software architecture comprised of perception and action systems for human following in real time. The perception system uses the YOLOv8 computer vision model to identify and estimate human pose. Additionally, an algorithm is developed using the 3D information from a stereo camera to determine which target and whether to follow. Once the perception system perceives the desired target information, the action system can control and coordinate the robot using the ROS. Experimental results from the physical robot demonstrate the feasibility of the system architecture. © 2024 IEEE.

关键词： Mobile robots

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Optimized Spatial Filter Selection for Transfer Learning in Brain-Computer Interface 3

Optimized Spatial Filter Selection for Transfer Learning in ...

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3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2024

作者： A A Mohamed, Mohamed Giles, Joshua Arvaneh, Mahnaz University of Sheffield Automatic control and Systems Engineering Department Sheffield United Kingdom

ISBN: (纸本)9798350378009

The Common Spatial Patterns (CSP) algorithm has shown great efficacy in extracting features for Brain-Computer Interfaces (BCIs), particularly in motor imagery BCIs. However, CSP performs poorly when dealing with limited labeled data, which leads to long calibration time at the beginning of each session. To overcome this challenge, we leverage source data, i.e., labeled data from other subjects, to transfer knowledge across subjects. This work proposes a novel approach termed Scaled and Warped CSP-based Transfer Learning (SW-CSP-TL). This method aligns source data with the temporal and amplitude structure of target data before computing CSP filters, ensuring optimization for capturing discriminative features relevant to the target domain. We evaluate the proposed SW-CSP-TL algorithm using the publicly available dataset 2a from BCI Competition IV and compare its performance with that of the classical CSP algorithm and the transfer learning CSP algorithm (CSP-TL) without amplitude scaling and temporal warping. Our algorithm exhibits superior performance particularly when the training data size is relatively small. Results demonstrate that for 5 and 15 training trials per class from the target session, SW-CSP-TL outperformed the classical CSP by an average of 10%, and 8%, respectively. © 2024 IEEE.

关键词： Transfer learning

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A Power-Communication Co-Simulation Platform for Real-Time Microgrid Cyber Security Analysis

A Power-Communication Co-Simulation Platform for Real-Time M...

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2024 International Conference on Artificial Intelligence of Things and systems, AIoTSys 2024

作者： Qiu, Dongmeng Liu, Mengxiang Zhang, Xin University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798331507886

The rapid digitalisation process in power system has greatly benefited the large-scale integration of distributed energy resources (DERs), essentially accelerating the progress towards net zero. However, numerous cyber attacks such as false data injection (FDI) attacks are impeding the normal control and operation activities. This paper aims to establish a real-Time microgrid co-simulation platform to fully study the impacts of realistic attack events on micorgrid's control performance. Although there exist a large number of power-communication co-simulation platforms for the power system, they are designed to mainly provide validation services for control and operation algorithms and little attention has been paid to the cyber security. In the established microgrid platform, power and communication parts are simulated in Typhoon Hardware-in-The-loop(HIL) 602+ and EXata Network Simulator, respectively, and a dedicated synchronisation scheme is developed and embedded in Raspberry Pis to achieve master-slave data exchange between them. Based on the advanced cyber libraries provided by EXata, realistic FDI and packet drop attacks are mounted against the mapped communication links within EXata. The results indicate that these cyber attacks can severely influence the microgrid control performance including destabilising system states and specific state deviations, further demonstrating the necessity of deploying effective cyber-resilience enhancement mechanisms. © 2024 IEEE.

关键词： Cyber attacks

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