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Intelligent frequency control of AC microgrids with communication delay: An online tuning method subject to stabilizing parameters

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Energy and AI 2024年第4期18卷 86-100页

作者： komeil nosrati Vjatseslav Skiparev Aleksei Tepljakov Eduard Petlenkov Juri Belikov Department of Computer Systems Tallinn University of TechnologyTallinn12616Estonia Department of Software Science Tallinn University of TechnologyTallinn12616Estonia

Smart control techniques have been implemented to address fluctuating power levels within isolated crogrids,mi-mitigating the risk of unstable frequencies and the potential degradation of power supply ***,a challenge lies in the fact that employing these computationally complex methods without stability preservation might not suffice to handle the rapid changes of this highly dynamic environment in real-world scenarios over communication *** study introduces a flexible real-time approach for the frequency control problem using an artificial neural network(ANN)constrained to stabilized *** solution integrates stabilizing PID controllers,computed through small-signal analysis and tuned via an automated search for optimal ANN weights and reinforcement learning(RL)-based selected ***,we design stabilizing PID controllers by applying the stability boundary locus method and the Mikhailov criterion,specifically addressing communication ***,we refine the controller parameters online through an automated process that identifies optimal coefficient combinations,leveraging a constrained ANN to manage frequency deviations within a restricted parameter *** approach is further enhanced by employing the RL technique,which trains the tuning system using an interpolated stability boundary curve to ensure both stability and *** one-of-a-kind combination of ANN,RL,and advanced PID tuning methods is a big step forward in how we handle frequency control problems in isolated AC *** experiments show that our solution outperforms traditional methods due to its reduced parameter search *** particular,the proposed method reduces transient and steady-state frequency deviations more than semi-and unconstrained *** improved metrics and stability analysis show that the method improves system performance and stability under changing conditions.

关键词： AC microgrid Constrained artificial neural networks Frequency control

A soil quality index for evaluation of degradation under land use and soil erosion categories in a small mountainous catchment, Iran

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Journal of Mountain Science 2019年第11期16卷 2577-2590页

作者： Kazem nosrati Adrian LCOLLINS Department of Physical Geography School of Earth SciencesShahid Beheshti University*** TehranIran Sustainable Agriculture Sciences Department Rothamsted ResearchNorth WykeOkehamptonEX202SBUK

Soil erosion and land use type have long been viewed as being particularly important drivers of soil *** objectives of this study,therefore,were to select a new soil quality index(SQI)which varies significantly with land use/soil erosion,and to evaluate the new SQI using expert *** total,18 soil physical,chemical,and biochemical properties(indicators)were measured on 56 soil samples collected from four land use/soil erosion categories(rangeland/surface erosion,rangeland/subsurface erosion,cultivated land/surface erosion and dry-farming land/surface erosion).Principal component and classification analysis(PCCA)identified five PCs that explained 77.7%of the variation in soil properties with the biochemical PC varying significantly with land use/soil *** discriminant analysis(GDA)selected urease and clay as the most sensitive properties distinguishing the land use/soil erosion *** GDA canonical scores for the new SQI were significantly correlated with expert opinion soil surface summed scores(for soil movement,surface litter,pedestalling,rills and flow pattern)derived using the *** of the Interior Bureau of Land Management(BLM)method.A forward stepwise general regression model revealed that the new SQI values were explained by soil movement,surface litter,and the summed values of the soil surface ***,this study confirmed that soil quality in the study area in Iran is controlled by land use and corresponding soil erosion.

关键词： Soil quality index Land use Erosion status Soil enzyme activities Multivariate statistical techniques

维普期刊数据库

Characteristics of turbulent flow in 3-D pools in the presence of submerged rigid vegetation in channel bed

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Journal of Hydrodynamics 2024年第1期36卷 158-169页

作者： Kourosh nosrati Hossein Afzalimehr Jueyi Sui Hamid Reza Reisifar Natural Disasters Prevention Research Center Faculty of Civil EngineeringIran University of Science and TechnologyTehranIran School of Engineering University of Northern British ColumbiaPrince GeorgeCanada

In this study,the interaction between 3-D bedforms and submerged rigid vegetation has been *** laboratory experiments were conducted to study the distribution of flow velocity,Reynolds shear stress,turbulent kinetic energy,and skewness coefficients for a constant density of *** showed that the velocity profile in the pool section deviates from those in the upstream section of the *** has been found that the dip parameter varied between 0.6H and 0.9H depending on various factors including bed roughness,vegetation distribution,and pool entrance/exit ***,scattered vegetation in the pool and differences in slopes created non-uniform flow ***,in the wake region behind each vegetated element,flow velocity reduced significantly,and small-scale eddies are formed,causing increased *** decreasing the entrance slope and bed roughness,relatively uniform flow and weaker turbulence was resulted,but the random distribution of vegetated elements counteracted this balance and intensified *** the decrease in the pool entrance slope,the contribution of sweep event decreased and the contribution of ejection event increased.

关键词： Submerged rigid vegetation 3-D pool Reynolds shear stress skewness coefficients

The kinetic of mass loss of grades A and B of melted TNT by isothermal and non-isothermal gravimetric methods

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Defence Technology（防务技术） 2018年第2期14卷 126-131页

作者： Hamid Reza Pouretedal Sajjad Damiri Parvaneh nosrati Ehsan Forati Ghaemi Faculty of Applied Chemistry Malek-ashtar University of Technology

The kintic and activation energy of mass loss of two grades of melted TNT explosive, grade A and grade B, with freezing points of 80.57 and 78.15 ℃, respectively, were studied by isothermal and nonisothermal gravimetric methods. In isothermal method, the mass loss of samples in containers of glass and aluminum was followed in temperatures of 80, 90 and 100 ℃. The kinetic of the mass loss of the samples in the aluminum container was higher than the kinetic of it in the glass container that can be related to the effects of heat transfer and catalytic of aluminm metal. Also, the presence of impurities in grade B was due to increasing of kinetic of mass loss of it versus grade A. The non-isothermal curves were obtained in range of 30-330 ℃ at heating rates of 10,15 and 20 ℃·min^(-1).The TG/DTG data were used for determination of activation energy(E_a) of mass loss of TNT samples upon degradation by using Ozawa, Kissinger, Ozawa-Flynn-Wall(OFW) and Kissinger-Akahira-Sunose(KAS) methods as model free methods. The activation energies of grades of A and B of TNT was obtained 99-120 and 66-70 kJ mol^(-1)respectively. The lower values of activation energy of the degradation reaction of grade B confirm the effect of impurities in the kinetics of mass loss of this grade.

关键词： TNT Isothermal Non-isothermal Kinetic Mass loss

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Rapid, accurate and serotype independent pipeline for in silico epitope mapping of SARS-CoV-2 antigens: a combined machine learning and Chou’s pseudo amino acid composition method

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Medical Data Mining 2023年第3期6卷 1-9页

作者： Arash Rahmani Mokhtar nosrati Department of Biotechnology Faculty of Biological Science and TechnologyUniversity of IsfahanIsfahan 0098-661573Iran Zistfile bioinformatics center Sanandaj 0098-66158Iran

Here,a new integrated machine learning and Chou’s pseudo amino acid composition method has been proposed for in silico epitope mapping of severe acute respiratorysyndrome-like coronavirus *** this,a training dataset including 266 linear B-cell epitopes,1,267 T-cell epitopes and 1,280 non-epitopes were *** epitope sequences were then converted to numerical vectors using Chou’s pseudo amino acid composition *** vectors were then introduced to the support vector machine,random forest,artificial neural network,and K-nearest neighbor algorithms for the classification *** algorithm with the highest performance was selected for the epitope mapping *** on the obtained results,the random forest algorithm was the most accurate classifier with an accuracy of 0.934 followed by K-nearest neighbor,artificial neural network,and support vector machine ***,the efficacies of predicted epitopes by the trained random forest algorithm were assessed through their antigenicity potential as well as affinity to human B cell receptor and MHC-I/II alleles using the VaxiJen score and molecular docking,*** was also clear that the predicted epitopes especially the B-cell epitopes had high antigenicity potentials and good affinities to the protein *** to the results,the suggested method can be considered for developing specific epitope predictor software as well as an accelerator pipeline for designing serotype independent vaccine against the virus.

关键词： severe acute respiratory syndrome-like coronavirus machine learning Chou’s pseudo amino acid composition epitope based vaccine

Sperm quality metrics were improved by a biomimetic microfluidic selection platform compared to swim-up methods

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Microsystems & Nanoengineering 2023年第2期9卷 261-274页

作者： Steven A.Vasilescu Lin Ding Farin Yazdan Parast Reza nosrati Majid Ebrahimi Warkiani NeoGenix Biosciences pty Itd SydneyNSW 2126Australia. School of Biomedical Engineering University of Technology SydneySydneyNSW 2007Australia Department of Mechanical&Aerospace Engineering Monash UniversityClaytonVIC 3800Australia institute for Biomedical Materials&Devices(IBMD) Faculty of ScienceUniversity of Technology SydneySydneyNSW.2007Australia

Sperm selection is an essential component of all assisted reproductive treatments(ARTs)and is by far the most neglected step in the ART workflow in regard to technological *** sperm selection methodologies typically produce a higher total number of sperm with variable motilities,morphologies,and levels of DNA ***-standard techniques,including density gradient centrifugation(DGC)and swim-up(SU),have been shown to induce DNA fragmentation through introducing reactive oxygen species(ROS)during ***,we demonstrate a 3D printed,biologically inspired microfluidic sperm selection device(MSSP)that utilizes multiple methods to simulate a sperms journey toward *** are first selected based on their motility and boundary-following behavior and then on their expression of apoptotic markers,yielding over 68%more motile sperm than that of previously reported methods with a lower incidence of DNA fragmentation and *** from the MsSP also demonstrated higher motile sperm recovery after cryopreservation than that of sU or neat *** were conducted side-by-side against conventional SU methods using human semen(n=33)and showed over an 85%improvement in DNA integrity with an average 90%reduction in sperm *** results that the platform is easy-to-use for sperm selection and mimics the biological function of the female reproductive tract during conception.

关键词： utilize yielding neglected

Performance evaluation of a modified step-feed anaerobic/anoxic/oxic process for organic and nutrient removal

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Chinese Journal of Chemical Engineering 2016年第3期24卷 394-403页

作者： A.R.Majdi Nasab S.M.Soleymani M.nosrati S.M.Mousavi Biotechnology Group Faculty of Chemical EngineeringTarbiat Modares UniversityTehranlran

A pilot scale modified step-feed process was lmproved to increase nutrient/N ano P） ano organic removal operations from municipal wastewater. It combined the step-feed process and a method named ＂University of Cape Town （UCT）＂. The effect of nutrient ratios and inflow distribution ratios were studied. The highest uptake efficiency of 95% for chemical oxygen demand （COD） has been achieved at the inflow distribution ratio of 40/35/25. However, maximum removal efficiency obtained for total nitrogen （TN） and phosphorus at 93% and 78%, respectively. The average mixed liquor suspended solids （MLSS） was 5500 mg·L- 1. In addition, convenient values for dissolved oxygen （DO） concentration, and pH were obtained throughout different stages. The proposed system was identified to be an appropriate enhanced biological nutrient removal process for wastewater treatment plants owing to relatively high nutrient removal, sturdy sludge settle ability and COD removal.

关键词： Biological nutrient remova Step-feed bioreactor Nitrification Denitrification Phosphorus removal

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An exploratory study on the use of enzyme activities as sediment tracers:biochemical fingerprints?

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International Journal of Sediment Research 2011年第2期26卷 136-151页

作者： Kazem nosrati Gerard GOVERS Hassan AHMADI Forood SHARIFI Mohammad Ali AMOOZEGAR Roel MERCKX Matthias VANMAERCKE Department of Physical Geography Faculty of Earth SciencesShahid Beheshti University Division of Geography Department of Earth and Environmental Sciences 3. Faculty ofNatural ResourcesUniversity of Tehran 4. ForestRange and Watershed Management Organization 5. Faculty of BiologyCollege of SciencesUniversity of Tehran 6. Division of Soil and Water ManagementDepartment of Earth and Environmental Sciences 7. Division of GeographyDepartment of Eaeth and Environmental Sciences

Little information exists on the potential of soil enzyme activities,which are sensitive to soil properties and management,for the characterization of sediment sources at the catchment *** objective of this study is to explore and evaluate enzyme activity as tracer for sediment fingerprinting in the Hiv catchment(55 km~2),***,four enzymes were measured from 42 different sampling sites,covering three sediment source areas(rangeland/surface erosion,orchard/surface erosion,and streambank erosion),as well as from 12 sediment samples from reservoir check dams (sediment sinks).The results indicate that,based upon backward mode discriminant analysis,βglucosidase and dehydrogenase,allowed more than 95%of the samples to be correctly assigned to their source *** enzymes were selected as input data for a mixing-model to determine the relative contribution of the sampled sediment *** mean contributions from rangeland, orchard and streambank sources in the study area were estimated as 11.3%,15.1%and 73.7%, *** geochemical tracers,the mean contribution from rangeland,orchard and streambank sources was estimated as 14.1%,9.5%and 74.8%,*** biochemical and geochemical tracers,similar values were obtained(18.7%,10.7%and 70.7%,respectively).Our results indicate that soil enzyme activity allows for a good characterization of sediment sources,and can provide a complementary tool to currently existing sediment fingerprinting ***, the method should be also tested in other regions.

关键词： Sediment source Enzyme activity Biochemical fingerprints Mixing model Hiv catchment

A Tutorial on Common Differential Equations and Solutions Useful for Modeling Epidemics Like COVID-19: Linear and Non-Linear Compartmentation Models

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Journal of Applied Mathematics and Physics 2022年第10期10卷 3053-3071页

作者： Robert V. Mulkern Reyhaneh nosrati Boston Children’s Hospital and Harvard Medical School Boston USA

Purpose: To review some of the basic models, differential equations and solutions, both analytic and numerical, which produce time courses for the fractions of Susceptible (S), Infectious (I) and Recovered (R) fractions of the population during the epidemic and/or endemic conditions. Methods: Two and three-compartment models with analytic solutions to the proposed linear differential equations as well as models based on the non-linear differential equations first proposed by Kermack and McKendrick (KM) [1] a century ago are considered. The equations reviewed include the ability to slide between so-called Susceptible-Infected-Recovered (SIR), Susceptible-Infectious-Susceptible (SIS), Susceptible-Infectious (SI) and Susceptible-Infectious-Recovered-Susceptible (SIRS) models, effectively moving from epidemic to endemic characterizations of infectious disease. Results: Both the linear and KM model yield typical “curves” of the infected fraction being sought “to flatten” with the effects of social distancing/masking efforts and/or pharmaceutical interventions. Demonstrative applications of the solutions to fit real COVID-19 data, including linear and KM SIR fit data from the first 100 days following “lockdown” in the authors’ locale and to the total number of cases in the USA over the course of 1 year with SI and SIS models are provided. Conclusions: COVID-19 took us all by surprise, all wondering how to help. Spreading a basic understanding of some of the mathematics used by epidemiologists to model infectious diseases seemed like a good place to start and served as the primary purpose for this tutorial.

关键词： COVID-19 Differential Equations Modelling Compartment Model