This paper established an electric automobile closed-loop chain and obtained optimal pricing and carbon reduction strategies. Then, the system dynamics (SD) method was adopted to define the electric automobile battery...
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Dark chocolate gets popularity for several decades due to its enormous health benefits. It contains several health-promoting factors (bioactive components - polyphenols, flavonoids, procyanidins, theobromines, etc, an...
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In this paper, novel gradient-based online learning algorithms are developed to investigate an important environmental application: real-time river pollution source identification, which aims at estimating the release...
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Peak/off-peak spreads on European electricity forward and spot markets are eroding due to the ongoing nuclear phaseout in Germany and the steady growth in photovoltaic capacity. The reduced profitability of peak/off-p...
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We consider the problem of selecting a good enough alternative from a finite set of alternatives. Instead of selecting the exactly best alternative, our work aims to maximize the probability of correctly selecting an ...
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ISBN:
(数字)9781728169040
ISBN:
(纸本)9781728169057
We consider the problem of selecting a good enough alternative from a finite set of alternatives. Instead of selecting the exactly best alternative, our work aims to maximize the probability of correctly selecting an alternative in an acceptable subset. Under a Bayesian framework, we formulate the problem as a stochastic control problem. We propose a dynamic allocation scheme for selecting a good enough alternative, which optimizes a value function approximation one-step ahead. Numerical results demonstrate the proposed sampling procedure is more efficient than other sampling allocation methods.
Nanoplastics (NPs) are widespread in wastewater systems and more toxic than microplastics (MPs), necessitating effective removal techniques. Although membranes can effectively remove MPs, their efficiency and mechanis...
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Nanoplastics (NPs) are widespread in wastewater systems and more toxic than microplastics (MPs), necessitating effective removal techniques. Although membranes can effectively remove MPs, their efficiency and mechanisms for NPs removal require further study. A novel hydroxyapatite functionalized PVDF (HAPF) membrane was developed for NPs removal. The optimized HAPF membrane was prepared via a one-step method with 800 mg/L HAP at pH 7.3 for 8 hours. It achieved a water flux of 4376.44 LMH, 3.4 times higher than that of the pristine PVDF membrane, while maintaining a polystyrene (PS) NPs rejection above 99.5 %. The HAPF membrane maintained 95 % of its pure water flux when treating wastewater with only PS NPs, but exhibited severe flux decline under varying conditions, such as surface-functionalized PS NPs, pH changes, or coexisting contaminants. Among these, the presence of MgSO 4 alongside PS NPs caused the most severe water flux reduction, with the HAPF membrane undergoing complete blocking, followed by the formation of a cake layer. XDLVO results revealed that there is an attractive interaction between the HAPF membrane and PS NPs, primarily driven by acid-base interaction. The HAPF membrane exhibited significantly lower R m and R f values than the PVDF membrane and achieved a flux recovery rate of 92.94 % over multiple fouling-cleaning cycles. Its water flux was 18.9 times that of the PVDF membrane during long-term filtration. The developed HAPF membrane holds significant potential for advanced water treatment and fouling resistance .
The set-point control problem of underactuated mechanical systems is a challenging issue and needs to be further investigated. This research work focuses on such problem for underactuated Lagrangian-type robotic syste...
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ISBN:
(纸本)9781665490597
The set-point control problem of underactuated mechanical systems is a challenging issue and needs to be further investigated. This research work focuses on such problem for underactuated Lagrangian-type robotic systems, and then the objective lies in designing a suitable controller to change the robot’s current position to a desired state. Thus, our main idea is to control the robotic systems through an affine-type PD controller and by virtue of the LMI-based optimization techniques. Thus, we will develop LMI conditions on the controller gains to ensure the stability of the underactuated robot at the desired state. Then, to achieve this goal, we will consider the rescaled dynamical model describing the difference between the nonlinear model and its approximate linear dynamics, where we assume that this rescaled dynamics satisfies such some Lipschitz condition. Finally, the pendubot manipulator is adopted in order to verify the efficiency of the proposed controller.
The selection of an economical carbon source is a fundamental parameter to establish a successful industrial succinic acid (SA) bioprocess. In this work, corn fiber (CF), a renewable and an inexpensive source of carbo...
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Since the launch of the One Belt, One Road (OBOR) initiative in 2015, China has announced its intention to invest in major infrastructure projects to promote trade and co-operation with its trading partners along OBOR...
Since the launch of the One Belt, One Road (OBOR) initiative in 2015, China has announced its intention to invest in major infrastructure projects to promote trade and co-operation with its trading partners along OBOR. This paper examines the current level of trading and key projects underway along OBOR so as to provide insights to understand its strategic intent. In particular, a network model is constructed to analyze the impact to China current and future demand for energy under various conditions especially during prolonged periods of supply uncertainties. Since these key projects are closely connected to the current and proven oil and natural gas reserves locations, the findings propound the OBOR initiative is more than trade and a key motivation is to enhance China’s energy supply resilience amongst other imperatives.
The parallel machine scheduling problem has been a popular topic for many years due to its theoretical and practical importance. This paper addresses the robust makespan optimization problem on unrelated parallel mach...
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