Red soil,the most critical soil resource in tropical/subtropical regions worldwide,faces tremendous threats,including nutrient deficiency,acidification,and heavy metal *** is a great demand for multifunctional eco-mat...
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Red soil,the most critical soil resource in tropical/subtropical regions worldwide,faces tremendous threats,including nutrient deficiency,acidification,and heavy metal *** is a great demand for multifunctional eco-materials capable of modifying this ***,we used widely distributed soil and biomass to develop a zeolite/biochar composite for synergistic red soil remediation and *** the composite material,the Pb^(2+) and Cd^(2+) remediation efficiencies reached 92.8%and 92.9%,respectively,in stems under optimal ***,the acidity and nutrient deficiency conditions of red soil significantly *** atomic-scale interaction mechanism during the remediation and amendment process was elucidated with complementary characterization methods,which revealed that in the zeolite/biochar composite material,zeolite contributes to longterm heavy metal remediation ***,biochar is responsible for soil quality amendment and short-term heavy metal ***,for the first time,single-atom heavy metal ions were observed on biochar during the remediation process,indicating the broad distribution of single atoms in the natural environment.
As urban populations grow, smart home technology has become a key enabler for enhancing energy efficiency, comfort, and convenience in residential environments. However, existing smart home implementations often strug...
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In this paper, a learning-based active fault-tolerant control (FTC) scheme for robot manipulators with uncertainties and actuator faults is proposed. Unlike traditional FTC methods, with dynamic learning theory, both ...
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Discrete event system(DES)models promote system engineering,including system design,verification,and *** advancement in manufacturing technology has endowed us to fabricate complex industrial ***,the adoption of advan...
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Discrete event system(DES)models promote system engineering,including system design,verification,and *** advancement in manufacturing technology has endowed us to fabricate complex industrial ***,the adoption of advanced modeling methodologies adept at handling complexity and scalability is ***,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the *** this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the *** traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone *** with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new ***,this general modeling approach has wide potential for future complex and intelligent industrial systems.
Due to the challenges of adjustment after installation and the elevated failure rate associated with the use of electric valves,which contributes to increased weight among other issues,single-hole restrictors(SHRs)are...
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Due to the challenges of adjustment after installation and the elevated failure rate associated with the use of electric valves,which contributes to increased weight among other issues,single-hole restrictors(SHRs)are commonly employed within the ventilation system of the manned space *** restrictors are pre-configured with parameters to ensure that the airflow at the termination of the ventilation system meets the designated ***,given their inability to be modified post-installation,a preliminary optimization design process becomes *** solutions relying solely on experience are insufficient in precise and optimal *** computational fluid dynamics(CFD)simulations offer accurate results,they encounter difficulties in modeling larger systems and are time-intensive due to multiple iterative ***,an optimizing design method through quicker Flowmaster simulations is proposed in this *** the Functional Mock-up Interface(FMI)protocol,the ventilation system model established in Flowmaster could be exported as FMU files and fine-tuned within Python using a genetic algorithm(GA),swiftly achieving a well-balanced ventilation system design by adjusting the parameters of the *** findings from CFD calculations can corroborate the simulations conducted in *** vents’unbalanced factor and the pressure drops of the system are used as optimization *** optimization,the system unbalanced factor and total pressure drop were 5.51%and 5.99 Pa,respectively,both of which are better than the results obtained using CFD through empirical and trial-and-error methods,and the computation time was reduced by 99.16%.
In order to improve the detection performance of small targets under sea clutter background, a detection method based on bagging decision tree with multi-feature information fusion is proposed. First, the time-frequen...
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Unsupervised domain adaptation (UDA) for time series classification (TSC) is an important but challenging task. In the process of UDA, feature learning is most critical. Most of the existing works in this area are bas...
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Dear editor,Boundary control of the distributed parameter systems(DPSs) described by partial differential equations(PDEs) or cascaded PDE-ODEs(ordinary differential equations) has received considerable attention over ...
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Dear editor,Boundary control of the distributed parameter systems(DPSs) described by partial differential equations(PDEs) or cascaded PDE-ODEs(ordinary differential equations) has received considerable attention over the last two decades(see [1–4] and the references therein). But most studies just consider the actuation of PDE boundary conditions, regardless of the actuator dynamics.
Opacity is a central concept in the issue of privacy security and has been studied extensively in fields such as finite automata, probabilistic automata, and stochastic automata. Here, we investigate the problem of va...
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Opacity is a central concept in the issue of privacy security and has been studied extensively in fields such as finite automata, probabilistic automata, and stochastic automata. Here, we investigate the problem of validating multi-step opaque properties through unambiguous weighted machines from the perspective of cyber-physical systems. First, the notion of multi-step state-based opacity for unambiguous weighted machines is presented and defined. It includes two variants of delays with a finite K and infinite steps. Subsequently, the weighted state estimate with K(infinite)-step delay is established by abstracting the possible state set that the system could have through these weighted observations. Meanwhile, to keep the observable weighted sequence consistent between the bidirectional observers, the unobserved weights of the reverse weighted machine are assumed to be reserved. Subsequently, the existence conditions are developed, and the corresponding algorithms, termed the weighted bidirectional observer, are generalized to verify these properties. Finally, several numerical examples are illustrated to demonstrate the effectiveness of the proposed method. Taken together, the current approach will be conducive to a deep understanding of the security and privacy of cyber-physical systems.
This paper considers a linear-quadratic(LQ) meanfield game governed by a forward-backward stochastic system with partial observation and common noise,where a coupling structure enters state equations,cost functionals ...
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This paper considers a linear-quadratic(LQ) meanfield game governed by a forward-backward stochastic system with partial observation and common noise,where a coupling structure enters state equations,cost functionals and observation ***,to reduce the complexity of solving the meanfield game,a limiting control problem is *** virtue of the decomposition approach,an admissible control set is *** a filter technique and dimensional-expansion technique,a decentralized control strategy and a consistency condition system are derived,and the related solvability is also ***,we discuss an approximate Nash equilibrium property of the decentralized control ***,we work out a financial problem with some numerical simulations.
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