36 research outputs found
Chance Constrained Stochastic Optimal Control for Linear Systems with Time Varying Random Plant Parameters
We propose an open loop control scheme for linear systems with time-varying
random elements in the plant's state matrix. This paper focuses on joint chance
constraints for potentially time-varying target sets. Under assumption of
finite and known expectation and variance, we use the one-sided
Vysochanskij-Petunin inequality to reformulate joint chance constraints into a
tractable form. We demonstrate our methodology on a two-bus power system with
stochastic load and wind power generation. We compare our method with situation
approach. We show that the proposed method had superior solve times and
favorable optimally considerations.Comment: Final submission for ACC 202
Graphene oxide and its derivatives as promising In-vitro bio-imaging platforms
Intrinsic fluorescence and versatile optical properties of Graphene Oxide (GO) in visible and near-infrared range introduce this nanomaterial as a promising candidate for numerous clinical applications for early-diagnose of diseases. Despite recent progresses in the impact of major features of GO on the photoluminescence properties of GO, their modifications have not yet systematically understood. Here, to study the modification effects on the fluorescence behavior, poly ethylene glycol (PEG) polymer, metal nanoparticles (Au and Fe3O4) and folic acid (FA) molecules were used to functionalize the GO surface. The fluorescence performances in different environments (water, DMEM cell media and phosphate buffer with two different pH values) were assessed through fluorescence spectroscopy and fluorescent microscopy, while Fourier-transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD) and Scanning electron microscopy (SEM) were utilized to evaluate the modifications of chemical structures. The modification of GO with desired molecules improved the photoluminescence property. The synthesized platforms of GO-PEG, GO-PEG-Au, GO-PEG-Fe3O4 and GO-PEG-FA illustrated emissions in three main fluorescence regions (blue, green and red), suitable for tracing and bio-imaging purposes. Considering MTT results, these platforms potentially positioned themselves as non-invasive optical sensors for the diagnosis alternatives of traditional imaging agents. A correction for this article can be viewed at https://doi.org/10.1038/s41598-020-75090-
An improved method for fabrication of Ag-GO nanocomposite with controlled anti-cancer and anti-bacterial behavior; a comparative study
In this study, two green procedures for Silver-Graphene Oxide (Ag-GO) nanocomposite synthesis were investigated. As a common method, AgNO3 was first loaded on the GO surface and then was reduced and stabilized by walnut green husk extract, producing Ag-GO-I. As an innovative approach, GO was first exposed to the extract and then the AgNO3 was added as the second step, producing Ag-GO-Pi. Physicochemical properties, antibacterial and cytotoxicity activity of both nanocomposites were subsequently studied comparing with free silver nanoparticles (AgNPs) and pure GO. Based on the results, exposure of GO to the extract, as a reducing agent, at the first/last step of the synthesis process resulted in the fundamental differences in the final products. So that, high amounts of agglomerated silver nanoparticles were formed between the GO sheets, when using the common method, whereas in Ag-GO-Pi, small AgNPs were formed on the GO sheets without aggregation, entirely covering the sheets. Antibacterial and cytotoxic behavior of these nanomaterials could be compared as AgNPs > AgGO-Pi > Ag-GO-I. It is assumed that these differences are due to control of unwanted nucleation in the synthesis process that Ag nanoparticles are smaller with less agglomeration when the GO surfaces are pre-treated with reducing agent
Guest editorial: Application of cloud energy storage systems in power systems
Cloud energy storage system (CESS) technology is a novel idea to eliminate the distributed energy storage systems from the consumers into a cloud service centre, where CESS acts as a virtual energy storage capacity instead of the actual devices. The power and energy of several distributed energy storages are combined using a CESS to assure providing storage services for small consumers. A CESS is a shared pool of grid-scale energy storage systems to reduce the cost of energy storage services in the power system which can increase the penetration level of onsite distributed renewable energy sources, reduce the electricity bills of consumers, and provide flexibility to the power grid by reducing the peak loads. The current Special Issue aims to explore technologies, methodologies, and solutions to develop CESSs with an efficient, secure, and stable operation of power systems.Scopu