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Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI 2023

作者： Pirone, Daniele Mugnano, Martina Memmolo, Pasquale Merola, Francesco Lama, Giuseppe Cesare Castaldo, Rachele Miccio, Lisa Bianco, Vittorio Grilli, Simonetta Ferraro, Pietro CNR-ISASI Institute of Applied Sciences and Intelligent Systems "E. Caianiello" Via Campi Flegrei 34 Pozzuoli Napoli80078 Italy DICMaPI Department of Chemical Materials and Production Engineering University of Naples "Federico II" Piazzale Tecchio 80 Napoli80125 Italy CEINGE—Biotecnologie Avanzate Napoli Italy CNR-IPCB Institute of Polymers Composites and Biomaterials Via Campi Flegrei 34 Pozzuoli Napoli80078 Italy

ISBN: (数字)9781510664548

ISBN: (纸本)9781510664531

Nanoparticles (NPs) internalization process in living cells has large perspectives for drug-delivery applications, but the efficient cellular uptake is still a remarkable challenge. Recently, it has been demonstrated that nanographene oxide (nGO) particles are massively internalized into the cell cytoplasm, opening the way of using graphene family materials for the above goal. Internalized nGO can interact with intracellular elements, thus modifying the life cycle pathways. Therefore, there is a great interest in studying the cellular uptake process and the volumetric distribution of nGO inside the cells. He we report on the use of holographic microscopy for quantitatively evaluating the nGO cellular uptake in both 2D and 3D. In particular, quantitative phase images of adherent cells with internalized nGO are used to measure the cells biovolume variation in time, while tomographic reconstructions of cells in flow cytometry condition are exploited to visualize in 3D the distribution of nGO within the cells cytoplasm. The study is conducted on NIH-3T3 cells to analyze the effects of nGO in vitro and monitoring the cell culture was for several hours to allow a time-lapse of nGO uptake. © 2023 SPIE.

关键词： Cells

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Privacy Preservation by Intermittent Transmission in Cooperative LQG control systems

Privacy Preservation by Intermittent Transmission in Coopera...

引用

Asian control Conference

作者： Wenhao Lin Yuqing Ni Wen Yang Chao Yang Department of Automation Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Engineering Jiangnan University Wuxi China

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

In this paper, we study a cooperative linear quadratic Gaussian (LQG) control system with a single user and a server. In this system, the user runs a process and employs the server to meet the needs of computation. However, the user regards its state trajectories as privacy. Therefore, we propose a privacy scheme, in which the user sends data to the server intermittently. By this scheme, the server's received information of the user is reduced, and consequently the user's privacy is preserved. In this paper, we consider a periodic transmission scheme. We analyze the performance of privacy preservation and LQG control of different transmission periods. Under the given threshold of the control performance loss, a trade-off optimization problem is proposed. Finally, we give the solution to the optimization problem.

关键词： Measurement Privacy Data privacy Networked control systems Trajectory Servers Optimization

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A Novel DWT-based Encoder for Human Pose Estimation

A Novel DWT-based Encoder for Human Pose Estimation

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2022 Scholar's Yearly Symposium of Technology, engineering and Mathematics, SYSTEM 2022

作者： De Magistris, Giorgio Romano, Matteo Starczewski, Janusz Napoli, Christian Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 Roma00185 Italy Department of Computational Intelligence Czstochowa University of Technology al. Armii Krajowej 36 Częstochowa42-200 Poland Institute for Systems Analysis and Computer Science Italian National Research Council Via dei Taurini 19 Roma00185 Italy

The proposed approach for pose estimation is based on the construction of a Convolutional Neural Network with an encoding-decoding structure and a spatial pyramid based on WASP structure in its bottleneck and a Discrete wavelet transform encoder. These techniques already shown their capabilities to solve the main problems in state of the art related to: different Field of view (FoV) required to analyze the different possible sizes of a specific subject. we want to solve the faulty structure of the modern CNN based Neural Networks in the encoding part using DWT encoder and WASP. This Work also have the objective of demonstrating from a more general point of view which could be the advantages of a Discrete Wavelet Transform (DWT) encoder in any CNN-based approach for Pose Estimation and Object detection in any form, such as for several subjects in the same image or in the internal video due to the almost redundant use of the usual most famous encoding structures for CNN such as ResNet-101, U-Net or VGG16-19. we will do our tests using a U-net Based CNN in order to evaluate the importance of the results of the Discrete Wavelet Transform encoder also in the decoding part through the cropping of theme at the last layers of the network. This is necessary due to the loss of border's pixels during encoding that could be useful for the result's evaluation. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

关键词： Discrete wavelet transforms

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Mn, N co-doped carbon nanospheres for efficient capture of uranium (VI) via capacitive deionization

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Chemosphere 2023年 342卷 140190页

作者： Jin, Meiyue Huang, Xinhua Wang, Zhirou Chan, Vincent Hu, Jinsong Wu, Ai Hu, Guangzhi School of Materials Science and Engineering Anhui University of Science and Technology Huainan232001 China Department of Biomedical Engineering Khalifa University of Science and Technology Abu Dhabi United Arab Emirates School of Chemical Engineering Anhui University of Science and Technology Huainan232001 China Institute of Energy Hefei Comprehensive National Science Center Hefei230031 China Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental Science Yunnan University Kunming650504 China

Heteroatom doping, involving the introduction of atoms with distinct electronegativity into carbon materials, has emerged as an effective approach to optimize their charge distribution. In this study, we designed a strategy to synthesize in-situ Mn, N co-doped carbon nanospheres (Mn-NC) through the polycondensation of 2,6-diaminopyridine and formaldehyde in synchronization with Mn2+ chelation to form Mn-polytriazine precursor, followed by calcination to form carbonaceous solid. Then Mn-NC was fabricated into a capacitive deionization (CDI) electrode for the selective removal of uranium ions (U (VI)), which is commonly found in radioactive water. Interestingly, Mn-NC exhibited good selectivity for UO22+ capture with a demonstrated adsorption capacity of approximately 194 mg/g @1.8 V. The systematic analysis of the adsorption mechanism of UO22+ revealed that N dopants within Mn-NC can coordinate with the U (VI) ions, thereby facilitating the removal process. Our study presents a straightforward and convenient strategy for removing UO22+ ions by harnessing the coordination effect, eliminating the requirement for pore size control. © 2023 Elsevier Ltd

关键词： Ions

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Three-Dimensional Seismic Response in Complex Site Conditions: A New Approach Based on an Auxiliary-Model Method

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Journal of Earth Science 2021年第5期32卷 1152-1165页

作者： Xiaolong Zhang Xiaobo Peng Xiaojun Li Zhenghua Zhou Chong Xu Zhan Dou Bideng Liu National Institute of Natural Hazards Ministry of Emergency Management of ChinaBeijing 100085China Jiangsu Earthquake Agency Nanjing 210014China College of Architecture and Civil Engineering Beijing University of TechnologyBeijing 100124China College of Transportation Science of Engineerings Nanjing Tech University Nanjing 210009China Key Laboratory of Compound and Chained Natural Hazards Dynamics(Under Construction) Ministry of Emergency Management of ChinaBeijing 100085China Department of Safety Engineering College of Mechanical and Electrical EngineeringBeijing University of Chemical TechnologyBeijing 100029China State Environmental Protection Engineering Center for City Noise and Vibration Control Beijing Municipal Institute of Labor ProtectionBeijing 100054China

In this paper, an auxiliary-model method is proposed for calculating equivalent input seismic loads in research of ground motions. This method can be used to investigate the local effect of 3 D complex sites subjected to obliquely incident SV and P waves. Using this method, we build a fictitious auxiliary model along the normal direction of the boundary of the area of interest, with the model’s localized geological features remaining the same along a vector normal to this boundary. This model is divided into five independent auxiliary models, which are then dynamically analyzed to obtain the equivalent input seismic loads. Unlike traditional methods, in this new technique, the mechanical behavior of the auxiliary model can be nonlinear, and its geometry can be arbitrary. In addition, a detailed description of the steps to calculate the equivalent input seismic loads is given. Numerical examples of incident plane-wave propagation at uniform sites with local features validate the effectiveness of this method. It is also applicable to elastic and non-elastic problems.

关键词： seismic-wave input topography effect oblique incidence equivalent input seismic load free field motion

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Removal of petroleum asphaltenes by improved activity of NiO nanoparticles supported on green AlPO-5 zeolite: Process optimization and adsorption isotherm

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Petroleum 2020年第2期6卷 182-188页

作者： Majid Mohammadi Mehdi Sedighi Meysam Hemati Department of Energy Engineering Faculty of ScienceQom University of TechnologyQomIran Division of Energy Systems Department of Chemical EngineeringUniversity of QomQomIran Center of Environmental Research University of QomQomIran Department of Management Zanjan BranchIslamic Azad UniversityZanjanIran

Asphaltenes removal enhances the quality of the oil and facilitates the *** the present work,a NiO/AlPO-5 nanocomposite using green TMG was synthesized as a particular adsorbent for asphaltenes ***/AlPO-5 was characterized using FTIR,BET,TEM,and XRD *** Response Surface Method was used to optimize three important independent operating parameters,including D/C0[(g)adsorbent/(mg/L)initial](X1),initial pH(X2)and temperature(X3),to remove asphaltenes by the NiO/AlPO-5 nanocomposites in a model oil *** a CCD,a quadratic mathematical model formula was obtained to calculate asphaltene *** results revealed that the model showed valid agreement with the experimental results,with R2=*** optimum values for D/C0,pH as well as temperature would be 0.08[g/(mg/L)],3.39 and 298 K,*** was revealed that the optimal asphaltenes removal was 83.73%at the optimum *** isothermal models of Langmuir and Freundlich represented the asphaltenes adsorption on the new adsorbent with acceptable accuracy.

关键词： Asphaltene Removal Nanocomposite Optimization Adsorption

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Meta-Reinforcement Learning for the Tuning of PI controllers: An Offline Approach

arXiv

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arXiv 2022年

作者： McClement, Daniel G. Lawrence, Nathan P. Backström, Johan U. Loewen, Philip D. Forbes, Michael G. Gopaluni, R. Bhushan Department of Chemical and Biological Engineering University of British Columbia VancouverBC Canada Department of Mathematics University of British Columbia VancouverBC Canada Backstrom Systems Engineering Ltd. Honeywell Process Solutions North Vancouver BC Canada Canada

Meta-learning is a branch of machine learning which trains neural network models to synthesize a wide variety of data in order to rapidly solve new problems. In process control, many systems have similar and well-understood dynamics, which suggests it is feasible to create a generalizable controller through meta-learning. In this work, we formulate a meta reinforcement learning (meta-RL) control strategy that can be used to tune proportional-integral controllers. Our meta-RL agent has a recurrent structure that accumulates "context" to learn a system's dynamics through a hidden state variable in closed-loop. This architecture enables the agent to automatically adapt to changes in the process dynamics. In tests reported here, the meta-RL agent was trained entirely offline on first order plus time delay systems, and produced excellent results on novel systems drawn from the same distribution of process dynamics used for training. A key design element is the ability to leverage model-based information offline during training in simulated environments while maintaining a model-free policy structure for interacting with novel processes where there is uncertainty regarding the true process dynamics. Meta-learning is a promising approach for constructing sample-efficient intelligent controllers. © 2022, CC BY.

关键词： Reinforcement learning

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Data-driven Self-triggered control via Trajectory Prediction

arXiv

引用

arXiv 2022年

作者： Liu, Wenjie Sun, Jian Wang, Gang Bullo, Francesco Chen, Jie The State Key Lab of Intelligent Control and Decision of Complex Systems The School of Automation Beijing Institute of Technology Beijing100081 China The Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China The Mechanical Engineering Department The Center of Control Dynamical Systems and Computation UC Santa BarbaraCA93106-5070 United States The Department of Control Science and Engineering Tongji University Shanghai201804 China The State Key Lab of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China

Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity. However, existing methods for self-triggered control require explicit system models that are assumed perfectly known a priori. An end-to-end control paradigm known as data-driven control learns control laws directly from data, and offers a competing alternative to the routine system identification-then-control method. In this context, the present paper puts forth data-driven self-triggered control schemes for unknown linear systems using data collected offline. Specifically, for output feedback control systems, a data-driven model predictive control (MPC) scheme is proposed, which computes a sequence of control inputs while generating a predicted system trajectory. A data-driven self-triggering law is designed using the predicted trajectory, to determine the next triggering time once a new measurement becomes available. For state feedback control systems, instead of capitalizing on MPC to predict the trajectory, a data-fitting problem using the pre-collected input-state data is solved, whose solution is employed to construct the self-triggering mechanism. Both feasibility and stability are established for the proposed self-triggered controllers, which are validated using numerical examples. © 2022, CC BY.

关键词： Model predictive control

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Coincidence analysis of Stackelberg and Nash equilibria in three-player leader-follower security games

arXiv

引用

arXiv 2022年

作者： Xu, Gehui Chen, Guanpu Cheng, Zhaoyang Hong, Yiguang Qi, Hongsheng Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing China JD Explore Academy Beijing China Department of Control Science and Engineering Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China The Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China

There has been significant recent interest in leader-follower security games, where the leader dominates the decision process with the Stackelberg equilibrium (SE) strategy. However, such a leader-follower scheme may become invalid in practice due to subjective or objective factors, and then the Nash equilibrium (NE) strategy may be an alternative option. In this case, the leader may face a dilemma of choosing an SE strategy or an NE strategy. In this paper, we focus on a unified three-player leader-follower security game and study the coincidence between SE and NE. We first explore a necessary and sufficient condition for the case that each SE is an NE, which can be further presented concisely when the SE is unique. This condition not only provides access to seek a satisfactory SE strategy but also makes a criterion to verify an obtained SE strategy. Then we provide another appropriate condition for the case that at least one SE is an NE. Moreover, since the coincidence condition may not always be satisfied, we describe the closeness between SE and NE, and give an upper bound of their deviation. Finally, we show the applicability of the obtained theoretical results in several practical security cases, including the secure transmission problem and the cybersecurity defense. Copyright © 2022, The Authors. All rights reserved.

关键词： Game theory

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Atomistic Analysis on Implantation Effects of Hydrogen Ions and Copper Ions into 4h-Sic

SSRN

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SSRN 2024年

作者： Fang, Xudong Kang, Qiang Wu, Xiaoyu Fang, Ziyan Sun, Hao Wu, Chen Zhang, Zhongkai Verma, Prateek Maeda, Ryutaro Tian, Bian Kang, Chengwei State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies Xi’an Jiaotong University Xi’an710049 China School of Mechanical Engineering Xi'an Jiaotong University Xi’an710049 China Shandong Laboratory of Advanced Materials and Green Manufacturing Yantai Yantai264000 China Department of Chemical Engineering University of Arkansas FayettevilleAR72701 United States School of Instrument Science and Technology Xi’an Jiaotong University Xi’an710049 China

Microstructure evolution of 4H-SiC by implantation of hydron ions and copper ions is investigated by molecular dynamics (MD) simulation and experiments. MD models of single Cu2+ and H+ implanting into SiC were established, respectively. During ion implantation, lattice damage, amorphous defects, and temperature distribution etc. were analyzed. Implantation of H+ induced more amorphous atoms than Cu2+. Maximum atomic temperature (1635K) of the model with Cu2+ was significantly higher than that of the model with H+ (950K), while the volume of temperature rising region in the model with H+ was much larger. Lattice vibration caused by Cu2+ was severer than that of H+ ions. Atoms on the crystal structure were prone to move along the region where the lattice binding energy was weak. The mechanism of overlapping multiple ions implanting was studied. Ion type, initial energy, and incident angle were varied. Sputtering yield, projection range, number of amorphous atoms, and energy increment of the model with Cu2+ were each smaller than those of H+. An incident angle of 0° induced higher sputtering yield and more amorphous structure due to the channeling effect. Channeling effect of H+ model was severer than that of Cu2+ model. Experimental results supported the MD simulation analysis. © 2024, The Authors. All rights reserved.

关键词： Molecular dynamics

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