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Defense for Advanced Persistent Threat with Inadvertent and Malicious Insider Threats

无人系统（英文） 2024年第2期12卷 341-358页

作者： Ziqin Chen Guanpu Chen Yiguang Hong Department of Control Science and Engineering and Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghaiP.R.China School of Electrical Engineering and Computer Science KTH Royal Institute of TechnologyStockholmSweden

In this paper,we propose a game theory framework to solve advanced persistent threat problems,especially considering two types of insider threats:malicious and *** this framework,we establish a unified three-player game model and derive Nash equilibria in response to different types of insider *** analyzing these Nash equilibria,we provide quantitative solutions to advanced persistent threat problems pertaining to insider ***,we have conducted a comparative assessment of the optimal defense strategy and corresponding defender's costs between two types of insider ***,our findings advocate a more proactive defense strategy against inadvertent insider threats in contrast to malicious ones,despite the latter imposing a higher burden on the *** theoretical results are substantiated by numerical results,which additionally include a detailed exploration of the conditions under which different insiders adopt risky *** conditions can serve as guiding indicators for the defender when calibrating their monitoring intensities and devising defensive strategies.

关键词： Security game advanced persistent threat insider threats Nash equilibrium

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Concussion case classification based on brain strain waveforms using dynamic time warping and cluster analysis

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Journal of Biomechanical Science and engineering 2024年第2期19卷 1-13页

作者： MIYAZAKI, Yusuke MASUDA, Hiroki Department of Systems and Control Engineering Tokyo Institute of Technology 2-12-1 O-okayama Meguro-ku Tokyo152-0052 Japan

In sports, concussion prevention measures require the development of concussion evaluation criteria for improved head protective gear or early intervention through impact measurement in the field. The peak value of the brain strain has been used as a brain strain metric to evaluate the risk of brain injury. However, it extracts the instantaneous moment of strain history experienced by the brain tissue;therefore, it lacks the characteristics of the entire strain waveform experienced by the brain tissue during a head impact. This study developed a new method for classifying concussion cases based on the overall characteristics of the brain strain waveform. First, 53 head collision cases tagged with the concussion status in American football were simulated using a finite element head model, and the brain strain waveforms in four regions (right brain, left brain, brainstem, and cerebellum) were obtained. By applying the dynamic time-warping distance and clustering method to the brain strain waveforms in each case, a concussion classification method that considers the overall characteristics of the waveforms was constructed. The classification evaluation results showed that the concussion classification method had a higher performance than the conventional method using the peak value of brain strain. Brain strain waveforms in concussion cases have multiple high peaks, and it is important to understand the characteristics of the entire brain strain waveform, not just the instantaneous peak value, to classify concussion cases. © (2024), (Japan Society of Mechanical Engineers). All Rights Reserved.

关键词： Finite element method

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Data-Driven Robust Optimization for the Operation Optimization of Industrial Power Station 7

Data-Driven Robust Optimization for the Operation Optimizati...

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7th International Conference on Energy Conservation and Efficiency, ICECE 2024

作者： Ashraf, Waqar Muhammad Dua, Vivek The Sargent Centre for Process Systems Engineering University College London Department of Chemical Engineering London United Kingdom

ISBN: (纸本)9798350370898

Operation optimization of industrial power stations is a challenging task owing to the operational uncertainties associated with the variables and hyperdimensional system design. Thus, conducting the mathematical model based robust optimization for such large system is computationally prohibitive as well as expensive task. To this end, we have presented data-driven robust optimization framework that is built on machine learning based model (Data Information integrated Neural Network (DINN)) and nonlinear programming (NLP) technique. The robust optimization framework is applied for the operation optimization of 660 MW capacity power station. The DINN models are trained on the historical data of the industrial power station to model thermal efficiency, power and heat rate -three performance metrics of the power station. Extensive hyperparameters tuning and validation of the DINN models are carried out to select better predictive models for the three output variables. Later, multiobjective optimization problem is formulated to maximize thermal efficiency, power, and minimize the turbine heat rate by NLP technique. The estimated solution of the multi-objective function is perturbed by 10000 gaussian noise to evaluate the robustness of the estimated solution. The achieved robust solution offers optimal thermal efficiency of 42.11% and heat rate of 7642 kJ/kWh at power = 658 MW while the variance produced in the function remains less than 0.01 -the threshold can be set by the user. The proposed data-driven robust optimization framework presented in this paper can be a computational effective and cheap approach to conduct the operation optimization analytics of the industrial systems subjected to the various operational uncertainties. © 2024 IEEE.

关键词： Nonlinear programming

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Electrical tree degradation of MgO/epoxy resin composites at different voltage frequencies

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High Voltage 2024年第3期9卷 581-590页

作者： Yunxiao Zhang Wenxin Lin Yuanxiang Zhou Weiwei Xing Jiayu Cheng Chenyuan Teng College of Electrical Engineering and Automation Fuzhou UniversityFujian Key Laboratory of New Energy Generation and Power ConversionFuzhouChina State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijingChina

Electrical tree degradation is one of the main causes of insulation failure in high-frequency *** tree degradation is studied on pure epoxy resin(EP)and MgO/EP composites at frequencies ranging from 50 Hz to 130 *** results show that the tree initiation voltage of EP decreases,while the growth rate and the expansion coefficient increase with ***,the bubble phenomenon at high frequencies in EP composites is *** with trap distribution character-istics within the material,the intrinsic mechanism of epoxy composites to inhibit the growth of the electrical tree at different frequencies is *** can be concluded that more deep traps and blocking effect are introduced by doping nano-MgO into EP bulks,which can improve the electrical tree resistance performance of EP composites in a wide frequency range.

关键词： composites tree Electrical

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Position Regulation of Industrial Robots via Bounded Integral Terminal Sliding Mode control Algorithm

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IEEE Transactions on Industrial Electronics 2024年第7期71卷 7403-7412页

作者： Cong, Yongzheng Du, Haibo Zhu, Wenwu Chen, Chih-Chiang Hefei University of Technology School of Electrical Engineering and Automation Hefei230009 China Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China National Cheng Kung University Department of Systems and Naval Mechatronic Engineering Tainan70101 Taiwan

For the position regulation problem of six degrees of freedom (6-DOF) industrial robots, a novel bounded finite-time position regulate algorithm is developed and employed to improve the dynamic performance of the industrial robots. First, based on the model feature, a bounded finite-time position regulate law is proposed to overcome input saturation constraints for the considered systems. Rigorous analysis guarantees the finite-time stability of the closed-loop system in the absence of disturbance. Then, to improve the disturbance rejection property of the robot systems in the presence of disturbance, an improved bounded finite-time control law based on the integral terminal sliding mode is constructed. Finally, simulations and experimental results are provided to show the effectiveness of the proposed bounded control law. © 1982-2012 IEEE.

关键词： Asymptotic stability

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Experimental study on removal of chromium using nano-silica coated pyrolysed biochar in batch, fixed bed and fluidized bed reactor: Synthesis, characterization, experimentation and mechanism

Waste Management Bulletin

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Waste Management Bulletin 2024年第4期1卷 60-66页

作者： Das, Papita Chakraborty, Vijoyeta Department of Chemical Engineering Jadavpur University India School of Advanced Studies for Industrial Pollution Control Engineering Jadavpur University India 700032 India

Nowadays Nano technology is used as one of the alternative for removal of pollutants. In this study, raw sawdust was used as biomass and was pyrolyzed at high temperature in an inert environment. The synthesized char was finally coated with nano-silica in a Teflon coated hydrothermal reactor. The characterization of the synthesized composite was performed. Nano silica coated (AcSi) activated carbon was further used to reduce Cr⁺⁶ in three type of reactors (batch, fixed bed and fluidized bed reactor). With increased in concentration of Cr⁺⁶, the fluidization behaviour in case of Fluidized reactor and the breakthrough time in case of fixed bed reactor was decreasing. Reaction time and availability of the active surface group played an important role in both fixed and fluidised bed reactor and observed that biochar coated with nano-silica was capable to remove pollutants efficiently using all the reactor. The batch study suggested monolayer adsorption and exothermic reaction and maximum adsorption capacity was observed as 88.2 mg/g and removal was 99.8% after 120 min. Regeneration study suggested that the composite can be regenerated with alkali solution and upto 5 cycles this composite can be used. © 2023 The Authors

关键词： Biochar Chromium Fixed bed reactor Fluidized bed reactor Nano-silica

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engineering Shewanella-re duce d graphene oxide aerogel biohybrid to efficiently synthesize Au nanoparticles

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Journal of Materials Science & Technology 2024年第1期168卷 50-61页

作者： Baocai Zhang Shulin Shao Huan Yu Qijing Liu Sicheng Shi Qingyuan Wu Zijie Wu Yiyu Feng Yifei Wang Xi Sun Deguang Wu Feng Li Hao Song Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) Tianjin UniversityTianjin 300072China Collaborative Innovation Center of Chemical Science and Engineering(Tianjin) School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China School of Materials Science and Engineering Tianjin UniversityTianjin 300350China College of Biological Engineering Tianjin Agricultural UniversityTianjin 300384China Department of Brewing Engineering Moutai InstituteLuban AveRenhuai 564507China

Biosynthesizing Au nanoparticles(AuNPs)from gold-bearing scraps provides a sustainable method to meet the urgent demand for ***,it remains challenging to efficiently biosynthesize AuNPs of which the diameter is less than 10 nm from a trace amount of Au^(3+)concentration at the level of tens ***,we constructed an exoelectrogenic cell(eCell)-conductive reduced-graphene-oxide aero-gel(rGA)biohybrid by assembling Shewanella sp.S1(SS1)as living biocatalyst and rGA as conductive ad-sorbent,in which Au^(3+)at trace concentrations would be enriched by the adsorption of rGA and reduced to AuNPs through the extracellular electron transfer(EET)of *** regulate the size of the synthe-sized AuNPs to 10 nm,the strain SS1 was engineered to enhance its EET,resulting in strain RS2(pYYD-P tac-ribADEHC&pHG13-P_(bad)-omcC in SS1).Strain RS2 was further assembled with rGA to construct the RS2-rGA biohybrid,which could synthesize AuNPs with the size of 7.62±2.82 nm from 60 ppm Au^(3+)*** eCell-rGA biohybrid integrated Au^(3+)adsorption and reduction,which enabled AuNPs biosyn-thesis from a trace amount of Au^(3+).Thus,the required Au^(3+)ions concentration was reduced by one or two orders of magnitude compared with conventional methods of AuNPs *** work devel-oped an AuNPs size regulation technology via engineering eCell’s EET with synthetic biology methods,providing a feasible approach to synthesize AuNPs with controllable size from trace level of gold ions.

关键词： Au nanoparticles Exoelectrogenic cell(e-Cell) Shewanella Synthesis biology Extracellular electron transfer Reduced graphene oxide aerogel

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Stability and Performance Analysis of Model Predictive control of Uncertain Linear systems 63

Stability and Performance Analysis of Model Predictive Contr...

引用

63rd IEEE Conference on Decision and control, CDC 2024

作者： Liu, Changrui Shi, Shengling De Schutter, Bart Delft University of Technology Delft Center for Systems and Control Delft Netherlands Massachusetts Institute of Technology Department of Chemical Engineering Cambridge United States

ISBN: (纸本)9798350316339

Model mismatch often presents significant challenges in model-based controller design. This paper investigates model predictive control (MPC) for uncertain linear systems with input constraints, where the uncertainty is characterized by a parametric mismatch between the true system and its estimated model. The main contributions of this work are twofold. First, a theoretical performance bound is derived using relaxed dynamic programming. This bound provides a novel insight into how the prediction horizon and modeling errors affect the suboptimality of the MPC controller to the oracle infinite-horizon optimal controller, which has complete knowledge of the true system. Second, sufficient conditions are established under which the nominal MPC controller, which relies solely on the estimated system model, can stabilize the true system despite model mismatch. Numerical simulations are presented to validate these theoretical results, demonstrating the practical applicability of the derived conditions and bounds. These findings offer practical guidelines for achieving desired modeling accuracy and selecting an appropriate prediction horizon in designing certainty-equivalence MPC controllers for uncertain linear systems. © 2024 IEEE.

关键词： Predictive control systems

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Dual Spatial-Temporal Feature Pyramid With Decoupled Temporal Mining for Video Semantic Segmentation

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-12页

作者： Hong, Yuanduo Pan, Huihui Sun, Weichao Wang, Yulei Bian, Ning Gao, Huijun Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China Department of Control Science and Engineering Tongji University Shanghai China Dongfeng Motor Corporation Wuhan China

Semantic segmentation plays a pivotal role in environmental perception for autonomous driving. Video semantic segmentation (VSS) further takes temporal information into consideration for better scene parsing and temporal consistency. Previous research on VSS is mostly dedicated to developing new techniques (e.g. optical flows, attention) to better mine temporal information. In this work, we contribute from a different angle by efficiently incorporating multi-scale temporal information. The dual spatial-temporal feature pyramid is proposed to enable the direct enhancement of multi-scale features for target frames and unlash the design of temporal information mining modules. It contains a spatial feature pyramid from a target frame and a spatial-temporal feature pyramid from multiple reference frames. Building on the dual feature pyramid, we further propose to decouple motional contexts and static contexts to fully leverage temporal information. Specifically, multi-scale motional contexts are mined with the introduced dedicated module and static contexts are enhanced by making temporally fused category-level representations interact with the target frame feature. The final segmentation maps are obtained by regarding the enhanced category-level representations as powerful feature classifiers to classify the target frame feature of rich motional contexts. Experimental results on two popular VSS benchmarks demonstrate that the proposed method with decent parameter and inference efficiency clearly outperforms previous advanced methods. IEEE

关键词： Semantics

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Hydrogen-assisted toughness reduction of a 42CrMo4 steel assessed by single edge notched tension tests

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International Journal of Hydrogen Energy 2025年 136卷 651-662页

作者： Cauwels, Margo Depraetere, Robin De Waele, Wim Hertelé, Stijn Verbeken, Kim Depover, Tom Ghent University Department of Materials Textiles and Chemical Engineering Sustainable Materials Science Technologiepark 46 Zwijnaarde9052 Belgium Ghent University Department of Electromechanical Systems and Metal Engineering Soete Laboratory Technologiepark 46 Zwijnaarde9052 Belgium

This paper aims to investigate the hydrogen-assisted toughness reduction of a quenched and tempered 42CrMo4 steel by single edge notched tension fracture toughness tests. Two different hydrogen concentrations were tested and both ex-situ and in-situ tests were performed. For both ex-situ and in-situ charging, hydrogen mostly influenced the crack initiation stage, expressed as a shift from ductile dimples to quasi-cleavage fracture. Crack blunting was reduced by hydrogen charging and seemingly disappeared for the most severe test condition. In-situ hydrogen charging promoted branching of the crack, especially at the higher hydrogen concentration. Some quasi-cleavage linked to inclusions was observed in the stable crack growth region on the fracture surface. Cross-sections of fractured specimens indicated increased void formation below the fracture surface with increasing hydrogen concentration as a preliminary finding. © 2024 Hydrogen Energy Publications LLC

关键词： Ductile fracture

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