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Robust control of isopropyl benzene production process using H_(∞) loop shaping control scheme

Journal of Control and Decision 2024年第1期11卷 153-163页

作者： Vinila Mundakkal Lakshmanan Aparna Kallingal Sreepriya Sreekumar Department of Chemical Engineering National Institute of Technology CalicutKozhikodeKeralaIndia Department of Robotics and Automation Adi Shankara Institute of Engineering and TechnologyKaladyIndia

This paper discusses robust control strategy for isopropyl benzene production process using the method of loop shaping H_(∞) *** cumene production process is a part of phenol plant in HOCL,Kochi.H_(∞) control of the propylene concentration is done *** H_(∞) controller is derived from the linearised model of the *** optimal H_(∞) controller is obtained by simplifying two algebraic Riccati *** proposed PID-like H_(∞) controller provides a single tuning parameter which makes the controller design more *** proposed controller has been compared with other robust controllers like H_(2) and *** H_(∞) controller is found to be superior in a wide frequency range and has a feature of low distortion and good regulating *** reactor model has been developed in COMSOL Multiphysics with the parameters obtained from HOCL plant,*** model extracted is reduced using model order reduction for the controller design.

关键词： Cumene reactor H_(∞)loop shaping model order reduction Riccati equation PID control stability robustness

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Developing deep learning-based large-scale organic reaction classification model via sigma-profiles

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Green chemical engineering 2025年第2期6卷 181-192页

作者： Wenlong Wang Chenyang Xu Jian Du Lei Zhang State Key Laboratory of Fine Chemical Frontiers Science Center for Smart Materials Oriented Chemical EngineeringInstitute of Chemical Process Systems EngineeringSchool of Chemical EngineeringDalian University of TechnologyDalian116024China Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore117585Singapore

Advanced technologies like deep learning have accelerated the discovery of novel chemical reactions,especially in the field of organic *** hundreds of thousands of reactions available for reference,one way to effectively leverage them is by classifying chemical reactions into different clusters based on their specific characteristics,which makes target-guided navigation in the vast chemical space *** previous attempts that apply deep learning to reaction classification tasks have made substantial progress,developing a model with good interpretability as well as high accuracy for large-scale reaction classification tasks remains an open *** this work,a deep learning-based model for a large-scale reaction classification task is first constructed by utilizing pre-trained BERT and ***,the model is trained under the open-source dataset USPTO_TPL which contains recorded reactions of up to 1000 different *** multi-classification accuracy of the model on the testing dataset is 99.382%,showing its great potential for practical ***,a reaction similarity map is presented to correlate the reactions in the USPTO_TPL dataset based on their sigmaprofile-based statistical ***,representative reactions from the testing dataset are provided to illustrate the model's effectiveness on the reaction classification task.

关键词： Reaction classification Reaction fingerprint Sigma-profiles Deep learning

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Light-driven high-precision cell adhesion kinetics

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Light(Science & Applications) 2022年第10期11卷 2256-2257页

作者： Zhiyuan Zhang Daniel Ahmed Acoustic Robotics Systems Laboratory Institute of Robotics and Intelligent SystemsDepartment of Mechanical and Process EngineeringETH ZurichS?umerstrasse 4CH-8803 ZurichSwitzerland

Existing single-cell adhesion kinetics methods are performed under conditions highly unlike the physiological cell adhesion ***,researchers have developed a new optical technique for high-precision measurement of cell... 详细信息

关键词： conditions. kinetics formed

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Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

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Frontiers of chemical Science and engineering 2022年第2期16卷 221-236页

作者： Yachao Dong Christos Georgakis Jacob Santos-Marques Jian Du Institute of Chemical Process Systems Engineering School of Chemical EngineeringDalian University of TechnologyDalian 116024China Department of Chemical and Biological Engineering and Systems Research Institute Tufts UniversityMedfordMA 02155USA

To study the dynamic behavior of a process,time-resolved data are collected at different time instants during each of a series of experiments,which are usually designed with the design of experiments or the design of dynamic experiments *** utilizing such time-resolved data to model the dynamic behavior,dynamic response surface methodology(DRSM),a datadriven modeling method,has been *** approaches can be adopted in the estimation of the model parameters:stepwise regression,used in several of previous publications,and Lasso regression,which is newly incorporated in this paper for the estimation of DRSM ***,we show that both approaches yield similarly accurate models,while the computational time of Lasso is on average two magnitude *** case studies are performed to show the advantages of the proposed *** the first case study,where the concentrations of different species are modeled directly,DRSM method provides more accurate models compared to the models in the *** second case study,where the reaction extents are modeled instead of the species concentrations,illustrates the versatility of the DRSM ***,DRSM with Lasso regression can provide faster and more accurate datadriven models for a variety of organic synthesis datasets.

关键词： data-driven modeling pharmaceutical organic synthesis Lasso regression dynamic response surface methodology

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HIGH EXPLOSIVES AS NOVEL RAPID GAS GENERATORS

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International Journal of Energetic Materials and chemical Propulsion 2025年第4期24卷 1-12页

作者： Kumar, K. Sunil Chakraborty, A. Srinivasan, R. Srikanth, I. Srinath, S. Advanced Systems Laboratory Defence Research & Development Organisation Hyderabad India Department of Chemical Engineering National Institute of Technology Warangal India

Explosives are materials that rapidly generate high-temperature gases. This study focuses on transforming the energy from high explosives into controlled gas-generating compositions for practical applications. A pentaerythritol tetranitrate–based linear mild detonating cord (MDC) with a 5 g/m core load density was selected for investigation. MDCs of 200, 250, and 500 mm were tested within a 500 cc closed vessel (CV), where the pressure produced was measured internally. The measured pressure was compared to theoretical predictions, showing a strong correlation. Upon initiating the cord, the explosive reaches peak pressure, which decreases exponentially over time. This innovative approach to harnessing high explosive energy for gas generation is beneficial in systems requiring rapid actuation, typically within milliseconds. In contrast, traditional pyrotechnic gas generators (GG) have activation times in the range of hundreds of milliseconds, making them slower. For GG applications, it is essential to design a gas chamber that is completely leak proof to ensure efficient energy transfer. This technology applies to systems such as stage separation and payload fairing separation systems, where minimal shock, no debris, and smoke-free operation are critical. The remote initiation of MDC is beneficial for demonstrating redundancy in initiation, providing reduced shock, safer detonation transfer, and enabling simultaneous multipoint initiation. In this research, remote initiation was achieved using a low-caliber explosive cord with a density of 0.5 g/m MDC. Additionally, leak-proof end connectors were developed to contain gases within the CV. © 2025 by Begell House, Inc.

关键词： Detonation

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

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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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Programming-via-spinning: Electrospun shape memory polymer fibers with simultaneous fabrication and programming

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Smart Materials in Medicine 2024年第4期5卷 477-487页

作者： Gunderson, Avery Ramezani, Maryam Orado, Thalma K. Monroe, Mary Beth B. Department of Biomedical and Chemical Engineering and BioInspired Syracuse: Institute for Material and Living Systems Syracuse University SyracuseNY13244 United States

Porous shape memory polymer (SMP) scaffolds are promising ‘smart’ materials for potential use in a wide range of biomedical applications. Electrospinning provides an approach to produce fibrous SMP scaffolds to enhance their porosity, mass transfer, and flexibility. Here, we studied the effects of electrospinning parameters (rotating collector rotational speed and solvent) on shape memory and mechanical properties of a biostable thermoplastic polyurethane (PUr) SMP. Scanning electron microscopy confirmed that fiber diameter and tortuosity could be tuned using varied collector rotation speeds and/or solvents. Mechanical properties, including modulus, tensile strength, and ultimate elongation, were tuned independently of chemistry based on variations in fiber architectures. All scaffolds demonstrated shape memory properties. Additionally, due to strains that are trapped in the fibers during the electrospinning process, SMP fibers are programmed into a strained, temporary shape during the fabrication step. These fibers can be immediately triggered to recover to a non-strained primary shape after fabrication to reduce sample preparation time and complexity. As a proof-of-concept, bacterial protease-responsive SMPs were electrospun and exposed to S. aureus in programmed secondary shapes. Upon exposure to bacteria, these SMPs underwent shape recovery, which resulted in reduced bacterial attachment and biofilm formation. These materials could be employed as bacteria-responsive wound dressings in future work. Overall, electrospinning provides a valuable tool for tuning mechanical and shape memory properties independently from chemistry and for programming SMPs during fabrication to enable scale-up of electrospun SMP scaffolds. © 2024 The Authors

关键词： Tensile strength

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Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第11期5卷 5575-5588页

作者： Jiang, Zihan Ma, Yiqun Shi, Bingyu Lu, Xin Xing, Jian Goncalves, Nuno Jin, Bo Suzhou215000 China Northeast Forestry University College of Computer and Control Engineering Harbin150000 China University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Coimbra3030-290 Portugal

This article introduces a novel model for low-quality pedestrian trajectory prediction, the social nonstationary transformers (NSTransformers), that merges the strengths of NSTransformers and spatiotemporal graph transformer (STAR). The model can capture social interaction cues among pedestrians and integrate features across spatial and temporal dimensions to enhance the precision and resilience of trajectory predictions. We also propose an enhanced loss function that combines diversity loss with logarithmic root mean squared error (log-RMSE) to guarantee the reasonableness and diversity of the generated trajectories. This design adapts well to complex pedestrian interaction scenarios, thereby improving the reliability and accuracy of trajectory prediction. Furthermore, we integrate a generative adversarial network (GAN) to model the randomness inherent in pedestrian trajectories. Compared to the conventional standard Gaussian distribution, our GAN approach better simulates the intricate distribution found in pedestrian trajectories, enhancing the trajectory prediction's diversity and robustness. Experimental results reveal that our model outperforms several state-of-the-art methods. This research opens the avenue for future exploration in low-quality pedestrian trajectory prediction. © 2024 IEEE.

关键词： Stars

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Recent advances on monolithic perovskite-organic tandem solar cells

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Interdisciplinary Materials 2024年第1期3卷 113-132页

作者： Guanshui Xie Huan Li Longbin Qiu Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems Department of Mechanical and Energy EngineeringSUSTech Energy Institute for Carbon NeutralitySouthern University of Science and TechnologyShenzhenChina

Perovskite-organic tandem solar cells(TSCs)have emerged as a groundbreaking technology in the realm of photovoltaics,showcasing remarkable enhancements in efficiency and significant potential for practical ***-organic TSCs also exhibit facile fabrication surpassing that of all-perovskite or all-organic TSCs,attributing to the advantageous utilization of orthogonal solvents enabling sequential solution process for each *** perovskite-organic TSCs capitalize on the complementary light absorption characteristics of perovskite and organic *** is a promising prospect of achieving further enhanced power conversion efficiencies by covering a broad range of the solar spectrum with optimized perovskite absorber,organic semiconductors as well as the interconnecting layer's optical and electrical *** review comprehensively analyzes the recent advancements in perovskite-organic TSCs,highlighting the synergistic effects of combining perovskite with a low open-circuit voltage deficit,organic materials with broader light absorption,and interconnecting layers with reduced optical and electrical ***,the underlying device architecture design,regulation strategies,and key challenges facing the high performance of the perovskite-organic TSCs are also discussed.

关键词： interconnecting layer narrow‐bandgap organic solar cells recombination layer tandem solar cells wide‐bandgap perovskite solar cells

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Exploring Player's Body as a Game Controller for Fitness Activity Promotion 6

Exploring Player's Body as a Game Controller for Fitness Act...

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6th Experiment at International Conference, exp.at 2023

作者： Simoes, Diogo Menezes, Paulo University of Coimbra Institute of Systems and Robotics Electrical and Computer Engineering Department Coimbra Portugal

ISBN: (纸本)9798350314403

In recent years, there has been a tendency for people to resort to a more sedentary lifestyle, which has only been aggravated by the COVID-19 pandemic and the evermore common remote work policies. This lack of physical activity brings negative health outcomes and can generally be difficult to overcome due to how challenging it can be for a person to find the motivation to adopt a more physically active routine. To address this issue, we propose the use of serious games as an engaging, fun, and highly motivational tool that can aid people in their quest for a healthier lifestyle. We focus on three problem areas: motor control improvement and rehabilitation, post-stroke rehabilitation, and physical activity for general health. There exist multiple solutions for these problems which often require specific equipment that may not be available to the common user. Therefore, we propose a different approach requiring solely a laptop equipped with a camera, thus making it more practical and accessible to the wider public. © 2023 IEEE.

关键词： Serious games

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