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Journal of Integrative Agriculture 2017年第7期16卷 1634-1644页

作者： ali mohammadi torkashvand Abbas Ahmadi Niloofar Layegh Nikravesh Department of Soil Science Science and Research Branch Islamic Azad University Department of Soil Science University of Tabriz

Many properties of fruit are influenced by plant nutrition. Fruit firmness is one of the most important fruit characteristics and determines post-harvest life of the fruit, in recent decades, artificial intelligence systems were employed for developing predictive models to estimate and predict many agriculture processes. In the present study, the predictive capabilities of multiple linear regressions （MLR） and artificial neural networks （ANNs） are evaluated to estimate fruit firmness in six months, including each of nutrients concentrations （nitrogen （N）, potassium （K）, calcium （Ca） and magnesium （Mg）） alone （P1）, com- bination of nutrients concentrations （P2）, nutrient concentration ratios alone （P3）, and combination of nutrient concentrations and nutrient concentration ratios （P4）. The results showed that MLR model estimated fruit firmness more accuracy than ANN model in three datasets （P1, P2 and P4）. However, the application of P3 （N/Ca ratio） as the input dataset in ANN model improved the prediction of fruit firmness than the MLR model. Correlation coefficient and root mean squared error （RMSE） were 0.850 and 0.539 between the measured and the estimated data by the ANN model, respectively. Generally, the ANN model showed greater potential in determining the relationship between 6-mon-fruit firmness and nutrients concentration.

关键词： artificial neural network firmness fruit kiwi multiple linear regression nutrient

Methodologies of preparing erosion features map by using RS and GIS

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International Journal of Sediment Research 2008年第2期23卷 130-137页

作者： mohammadi torkashvand ali Nikkami Davood Islamic Azad University-Rasht branch RashtIranAssis.Prof Soil Conservation and Watershed Management Research Institute TehranIranAssis.Prof

The erosion features map is one of the basic maps in erosion and sediment studies and watershed management *** methodologies of preparing erosion features map by using RS and GIS were compared in research which took place in the Jajrood sub-basin in north-east Tehran,*** the first phase,four working units’ maps were prepared by integration a) plant cover,geology and slope b) land use,geology and slope c) land use,rocks sensitivity to erosion and slope and d) land use,rocks sensitivity to erosion and land units’ *** addition to these four working units’ maps,three more maps were also evaluated in separating erosion features including e) land units f) sensitivity of rocks to erosion and g) image photomorphic *** efficiency of these seven working units’ maps was evaluated by 314 control *** this purpose,by using erosion features of control points regarding field views,surface,rill,gully and channel erosion maps were prepared and compared by crossing them with working units’ *** showed that method "d" was better than "a","b" and "c" in providing soil erosion features regarding economic and executive *** accuracy of methods "e" and "f" was 53.0 and 42.9% and their Root Mean Squared Error was more than method "g" and methods "a" to "d".The coefficient of variation was highest for methods "e" and "f" and the least for method "e" and the greatest precision was related to image interpretation.

关键词： Map of soil erosion Remote sensing GIS Jajrood river basin Iran

Electrocatalytic behaviour of Ni and NiCu alloy modified glassy carbon electrode in electro-oxidation of contraflam

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Journal of Central South University 2017年第8期24卷 1703-1712页

作者： Naeemy ali mohammadi ali Ehsani ali Aghassi ali Department of Drug and Food Control and Pharmaceutical Qtlality Assurance Research:Centre Faculty of PharmacyTehran University of Medical SciencesP.O.Box 14155-6451TehranIran Nanotechnology Research Centre Faculty of PharmacyTehran University of Medical SciencesP.O.Box 14155-6451TehranIran Department of Chemistry Faculty of ScienceUniversity of QomP.O.Box 37185-359QomIran

The electrocatalytic oxidation of contraflam was investigated in alkaline solution on nickel and nickel–copper alloy modified glassy carbon electrodes(GC/Ni and GC/NiCu). We prepared these electrodes by galvanostatic deposition and the surface morphologies and compositions of electrodes were determined by energy-dispersive X-ray(EDX) and scanning electron microscopy(SEM). Cyclic voltammetry and chronoamperometric methods were employed to characterize the oxidation process and its kinetics. Voltammetric studies exhibit one pair of well-defined redox peaks, which is ascribed to the redox process of the nickel and followed by the greatly enhanced current response of the anodic peak in the presence of contraflam and a decrease in the corresponding cathodic current peak. This indicates that the immobilized redox mediator on the electrode surface was oxidized contraflam via an electrocatalytic mechanism. The catalytic currents increased linearly with the concentration of contraflam in the range of 0.25– 1.5 mmol/L. The anodic peak currents were linearly proportional to the square root of scan rate. This behaviour is the characteristic of a diffusion-controlled process. The determination of contraflam in capsules is applied satisfactorily by modified electrode.

关键词： galvanostatic deposition nickel nickel-copper alloy contraflam modified electrodes cyclic voltammetry oxidation

A Review on Plug-in Electric Vehicles:Introduction, Current Status, and Load Modeling Techniques

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 412-425页

作者： ali Ahmadian Behnam mohammadi-Ivatloo ali Elkamel Department of Electrical Engineering University of BonabBonabIran Institute of Research and Development Duy Tan UniversityDa Nang 550000Vietnam College of Engineering Khalifa University of Science and Technologythe Petroleum InstituteAbu DhabiUnited Arab Emirates

Plug-in electric vehicle(PEV) load modeling is very important in the operation and planning studies of modern power system nowadays. Several parameters and considerations should be taken into account in PEV load modeling, making it a complex problem that should be solved using appropriate techniques. Different techniques have been introduced for PEV load modeling and each of them has individual specifications and features. In this paper, the most popular techniques for PEV load modeling are reviewed and their capabilities are evaluated. Both deterministic and probabilistic methods are investigated and some practical and theoretical hints are presented. Moreover, the characteristics of all techniques are compared with each other and suitable methods for unique applications are proposed. Finally, some potential research areas are presented for future works.

关键词： Plug-in electric vehicles load modeling deterministic and probabilistic techniques distribution networks

Bending and stress analysis of polymeric composite plates reinforced with functionally graded graphene platelets based on sinusoidal shear-deformation plate theory

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Defence Technology（防务技术） 2021年第1期17卷 64-74页

作者： Mohammad Arefi ali Tabatabaeian Masoud mohammadi Faculty of Mechanical Engineering Department of Solid MechanicsUniversity of KashanKashan 87317-51167Iran

The bending and stress analysis of a functionally graded polymer composite plate reinforced with graphene platelets are studied in this *** governing equations are derived by using principle of virtual work for a plate which is rested on Pasternak’s *** shear deformation theory is used to describe displacement *** different distribution patterns are employed in our *** analytical solution is presented for a functionally graded plate to investigate the influence of important *** numerical results are presented to show the deflection and stress results of the problem for four employed patterns in terms of geometric parameters such as number of layers,weight fraction and two parameters of Pasternak’s foundation.

关键词： Reinforced composite plate Graphene platelet Sinusoidal shear deformation theory Pasternak’s foundation Stress and deformation analysis

A New Insight into Energy Distribution of Electrons in Fuel-Rod Gap in VVER-1000 Nuclear Reactor

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Plasma Science and Technology 2015年第6期17卷 441-447页

作者： Fereshteh GOLIAN ali PAZIRANDEH Saeed mohammadi Payam Noor University Science & Research Branch Islamic Azad University

In order to calculate the electron energy distribution in the fuel rod gap of a VVER- 1000 nuclear reactor, the Fokker-Planck equation （FPE） governing the non-equilibrium behavior of electrons passing through the fuel-rod gap as an absorber has been solved in this paper. Besides, the Monte Carlo Geant4 code was employed to simulate the electron migration in the fuel-rod gap and the energy distribution of electrons was found. As for the results, the accuracy of the FPE was compared to the Geant4 code outcomes and a satisfactory agreement was found. Also, different percentage of the volatile and noble gas fission fragments produced in fission reactions in fuel rod, i.e. Krypton, Xenon, Iodine, Bromine, Rubidium and Cesium were employed so as to investigate their effects on the electrons＇ energy distribution. The present results show that most of the electrons in the fuel rod＇s gap were within the thermal energy limitation and the tail of the electron energy distribution was far from a Maxwellian distribution. The interesting outcome was that the electron energy distribution is slightly increased due to the accumulation of fission fragments in the gap. It should be noted that solving the FPE for the energy straggling electrons that are penetrating into the fuel-rod gap in the VVER-1000 nuclear reactor has been carried out for the first time using an analytical approach.

关键词： plasma electron energy distribution function Langevin approach based onFokker-Planck equation Geant4 Monte Carlo code

Experimental measurement and correlation of solubility of β-carotene in pure and ethanol-modified subcritical water

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Chinese Journal of Chemical Engineering 2020年第10期28卷 2620-2625页

作者： Hadi Share mohammadi ali Haghighi As Maryam Khajenoori Faculty of Chemical Petroleum and Gas EngineeringSemnan UniversitySemnan 35131-19111Iran

For the first time,the solubility ofβ-carotene in pure and ethanol-modified subcritical water(SW)using the static method was *** experimental runs were performed at a temperature ranging from 298.15 to 403.15 K and 0–10%(w/w)of ethanol as a modifier at a constant pressure of 5 *** were analyzed by UV–vis *** solubility ofβ-carotene was found to range from 1.084×10^-8 to 227.1×10^-8 mol fractions in the subcritical water in above mentioned *** obtainedβ-carotene solubility data were correlated using the linear model and modified Apelblat *** obtained results showed the modified Apelblat model was better for estimating the solubility ofβ-carotene in *** values of the rootmean-square deviation(RMSD)between experimental and correlated data were calculated and used as the index of validity and accuracy for the ***,thermodynamic properties of the solution such as the Gibbs free energy of solution,enthalpy,and entropy of solution were estimated.

关键词： Subcritical water β-Carotene Solubility Semi-empirical model

Automatic Extraction of Medical Latent Variables from ECG Signals Utilizing a Mutual Information-Based Technique and Capsular Neural Networks for Arrhythmia Detection

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Computers, Materials & Continua 2024年第10期81卷 971-983页

作者： Abbas ali Hassan Fardin Abdali-mohammadi Department of Computer Engineering and Information Technology Razi UniversityKermanshah***Iran

From a medical perspective,the 12 leads of the heart in an electrocardiogram(ECG)signal have functional dependencies with each ***,all these leads report different aspects of an *** differences lie in the level of highlighting and displaying information about that *** example,although all leads show traces of atrial excitation,this function is more evident in lead II than in any other *** this article,a new model was proposed using ECG functional and structural dependencies between heart *** the prescreening stage,the ECG signals are segmented from the QRS point so that further analyzes can be performed on these segments in a more detailed *** mutual information indices were used to assess the relationship between *** order to calculate mutual information,the correlation between the 12 ECG leads has been *** output of this step is a matrix containing all mutual ***,to calculate the structural information of ECG signals,a capsule neural network was implemented to aid physicians in the automatic classification of cardiac *** architecture of this capsule neural network has been modified to perform the classification *** the experimental results section,the proposed model was used to classify arrhythmias in ECG signals from the Chapman *** evaluations showed that this model has a precision of 97.02%,recall of 96.13%,F1-score of 96.57%and accuracy of 97.38%,indicating acceptable performance compared to other state-of-the-art *** proposed method shows an average accuracy of 2%superiority over similar works.

关键词： Heart diseases electrocardiogram signal signal correlation mutual information capsule neural networks

Micromechanics of breakage in sharp-edge particles using combined DEM and FEM

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Particuology 2008年第5期6卷 347-361页

作者： Ahad Bagherzadeh-Khalkhali ali Asghar Mirghasemi Soheil mohammadi School of Civil Engineering University College of EngineeringUniversity of Tehran

By combining DEM （Discrete Element Method） and FEM （Finite Element Method）, a model is established to simulate the breakage of twodimensional sharp-edge particles, in which the simulated particles are assumed to have no cracks. Particles can, however, crush during different stages of the numerical analysis, if stress-based breakage criteria are fulfilled inside the particles. With this model, it is possible to study the influence of particle breakage on macro- and micro-mechanical behavior of simulated angular materials. Two series of tests, with and without breakable particles, are simulated under different confining pressures based on conditions of biaxial tests. The results, presented in terms of micromechanical behavior for different confining pressures, are compared with macroparameters. The influence of particle breakage on microstructure of sharp-edge materials is discussed and the related confining pressure effects are investigated. Breakage of particles in rockfill materials are shown to reduce the anisotropy coefficients of the samples and therefore their strength and dilation behaviors.

关键词： DEM FEM Particle breakage Rockfill Micromechanics Anisotropy Confining pressure

Optimization of electrochemically synthesized Cu3(BTC)2 by Taguchi method for CO2/N2 separation and data validation through artificial neural network modeling

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Frontiers of Chemical Science and Engineering 2020年第2期14卷 233-247页

作者： Kasra Pirzadeh ali Asghar Ghoreyshi Mostafa Rahimnejad Maedeh mohammadi Chemical Engineering Department Babol Noshirvani University of TechnologyBabolIran

Cu(BTC),a common type of metal organic framework(MOF),was synthesized through electrochemical route for CO capture and its separation from *** method was employed for optimization of key parameters affecting the synthesis of Cu(BTC).The results indicated that the optimum synthesis conditions with the highest CO selectivity can be obtained using 1 g of ligand,applied voltage of 25 V,synthesis time of 2 h,and electrode length of 3 *** single gas sorption capacity of the synthetized microstructure Cu(BTC)for CO(at 298 K and 1 bar)was a considerable value of 4.40 mmol·*** isosteric heat of adsorption of both gases was calculated by inserting temperature-dependent form of Langmuir isotherm model in the Clausius-Clapeyron *** adsorption of CO/N binary mixture with a concentration ratio of 15/85 vol-%was also studied experimentally and the result was in a good agreement with the predicted value of IAST ***,Cu(BTC)showed no considerable loss in CO adsorption after six sequential *** addition,artificial neural networks(ANNs)were also applied to predict the separation behavior of CO/N mixture by MOFs and the results revealed that ANNs could serve as an appropriate tool to predict the adsorptive selectivity of the binary gas mixture in the absence of experimental data.

关键词： Cu3(BTC)2 electrochemical synthesis CO2 adsorption Taguchi optimization ANN modeling