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Showing papers by "Islamic Azad University published in 2022"


Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: The obtained results confirm that the coordinated model can efficiently handle the P2P transactive energy trading for different energy hubs, addressing the minimum data exchange issue, and achieving the least-cost operation of the energy hubs in the system.

66 citations


Journal ArticleDOI
15 Jan 2022-Fuel
TL;DR: In this article, a multi-generation system driven by geothermal energy, which produces electrical power, hydrogen, oxygen, and cooling, is proposed, appraised from thermodynamic and economic standpoints.

61 citations


Journal ArticleDOI
15 Jan 2022-Energy
TL;DR: A hybrid teaching-learning-based optimization (TLBO) and crow search algorithm (CSA) is used to obtain a reliable optimal solution with a low standard deviation for flexible EH in the presence of renewable energy sources and active loads.

54 citations


Journal ArticleDOI
TL;DR: In this paper, a higher-order unified gradient elasticity theory is conceived in a mixed variational framework based on suitable functional space of kinetic test fields, and the intrinsic form of the differential and boundary conditions of equilibrium along with the constitutive laws is consistently established.

51 citations


Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: The proposed method for designing the hybrid system provides better performance than the PSO in achieving less TNPC and better reliability with higher convergence speed and accuracy.

50 citations


Journal ArticleDOI
TL;DR: In this paper, the authors examined how environmental technology contributes to wastewater improvement in 16 selected OECD countries during 2000-2019 and showed that a heterogeneous behaviour in the quantiles of wastewater treatment, environmental technology and renewable energy are positively related to an increase in wastewater treatment between 0.09% - 0.20% and 3.5 e-12% - 5.74 e- 12%, respectively.

47 citations


Journal ArticleDOI
TL;DR: In this paper, a novel thermal management system including wavy/stair channel liquid cooling and copper sheath is developed and studied experimentally in this investigation to control the temperature of cylindrical lithium-ion batteries.

45 citations


Journal ArticleDOI
TL;DR: A detailed survey of the most significant literature on continuum mechanics models of micro-nano-structures can be found in this article, which can orient researchers in their future studies in this field of research.
Abstract: Recently, the mechanical behavior of micro-/nano-structures has sparked an ongoing debate, which leads to a fundamental question: what steps can be taken to investigate the mechanical characteristics of these structures, and characterize their performance? From the standpoint of the non-classical behavior of materials, size-dependent theories of micro-/nano-structures can be considered to analyze their mechanical behavior. The application of classical theories in the investigation of small-scale structures can lead to inaccurate results. Many studies have been published in the past few years, in which continuum mechanics models have been used to investigate micro-/nano-structures with different geometry such as rods, tubes, beams, plates, and shells. The mechanical behavior of these systems under different loading – resulting in vibration, wave propagation, bending, and buckling phenomena – is the focus of the review covered in this work. The present objective is to provide a detailed survey of the most significant literature on continuum mechanics models of micro-/nano-structures, and thus orient researchers in their future studies in this field of research.

40 citations


Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the dispersion characteristics of flexural waves in a functionally graded (FG) porous nanobeam and established integro-differential constitutive laws of the stress resultant fields with equivalent differential relations equipped with non-standard boundary conditions.

39 citations


Journal ArticleDOI
TL;DR: There were significant differences in all growth parameters, including final weight (FW), weight gain (WG), specific growth rate (SGR), and food conversion ratio (FCR) between CMO supplemented fish and control with the maximum values in the 5% CMO treatment.

38 citations


Journal ArticleDOI
TL;DR: In this article, a mixture stress gradient theory of elasticity is conceived via consistent unification of the classical elasticity theory and the stress gradients theory within a stationary variational framework, and the boundary-value problem associated with a functionally graded nano-bar is rigorously formulated.
Abstract: The mixture stress gradient theory of elasticity is conceived via consistent unification of the classical elasticity theory and the stress gradient theory within a stationary variational framework. The boundary-value problem associated with a functionally graded nano-bar is rigorously formulated. The constitutive law of the axial force field is determined and equipped with proper non-standard boundary conditions. Evidences of well-posedness of the mixture stress gradient problems, defined on finite structural domains, are demonstrated by analytical analysis of the axial displacement field of structural schemes of practical interest in nano-mechanics. An effective meshless numerical approach is, moreover, introduced based on the proposed stationary variational principle while employing autonomous series solution of the kinematic and kinetic field variables. Suitable mathematical forms of the coordinate functions are set forth in terms of the modified Chebyshev polynomials, satisfying the required classical and non-standard boundary conditions. An excellent agreement between the numerical results of the axial displacement field of the functionally graded nano-bar and the analytical solution counterpart is confirmed on the entire span of the nano-sized bar, in terms of the mixture parameter and the stress gradient characteristic parameter. The effectiveness of the established meshless numerical approach, demonstrating a fast convergence rate and an admissible convergence region, is hence ensured. The established mixture stress gradient theory can effectively characterize the peculiar size-dependent response of functionally graded structural elements of advanced ultra-small systems.

Journal ArticleDOI
TL;DR: In this paper, α-amylase from Bacillus subtilis was successfully immobilized on three supports, and their enzymatic activities were effectively tested in the starch hydrolysis.

Journal ArticleDOI
15 Jan 2022-Fuel
TL;DR: Comparison of the prediction performance of the HML models developed with those of the previous empirical equations and artificial intelligence models reveals that the novel MELM-PSO model presents superior prediction efficiency and higher computational accuracy.

Journal ArticleDOI
01 Jan 2022-Fuel
TL;DR: In this paper, the authors synthesized a novel heterogeneous catalyst using lanthanum titanium dioxide (LaTiO3) nanoparticles via co-precipitation and calcination processes.

Journal ArticleDOI
TL;DR: In this article, the authors developed a predictive tool based on computational fluid dynamics and machine learning to examine the distribution of sneezing droplets in realistic configurations, and identified an optimal range of temperature, humidity and ventilation rate to maintain human comfort while minimising the transmission of droplets.

Journal ArticleDOI
TL;DR: Evaluations demonstrate the capability of the C-LSTM followed by SVM, DT, k-NN, CNN, and LSTM in categorizing the type and location of transmission line faults.


Journal ArticleDOI
TL;DR: In this article, the effects of four 90-degree horizontal elbows with different curvature radii (17, 34, 51, and 68 cm) and an identical rectangular cross-section (20 * 34mm) on a gas-liquid slug flow pattern have been studied experimentally and numerically.
Abstract: In the present research, the effects of four 90-degree horizontal elbows with different curvature radii (17, 34, 51, and 68 cm) and an identical rectangular cross-section (20 * 34 mm) on a gas–liquid slug flow pattern have been studied experimentally and numerically. Gas and liquid superficial velocities in numerical and experimental parts were set in 2.5 m/s and 0.44 m/s, respectively. In the computational fluid dynamics section, the distribution of volume fraction, velocity, pressure, turbulence intensity, and swirling intensity parameters were investigated using the VoF model and the SST k-ω method. Experimental studies were conducted utilizing pressure data and signal processing tools to study the dominant frequency of slug flow alongside bandwidth distribution as well as the Shannon entropy. The results exhibited that although the dominant frequency of slug flow did not change after passing the 90-degree elbow, the frequency signal's bandwidth increased. In this regard, the application of Shannon entropy quantity revealed that the frequency distribution signal experienced a greater increase in bandwidth as the elbows’ curvature radius increases. The turbulent intensity of the elbows’ outlet reveals that by increasing the curvature radius, the flow field behaves smoother. Also, swirling intensity distribution shows that decreasing the elbow radius leads to increment in the swirling intensity.

Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: In this article, a high-accuracy hybrid approach for short-term wind power forecasting is proposed using historical data of wind farm and Numerical Weather Prediction (NWP) data.

Journal ArticleDOI
TL;DR: In this article, a PVDF/g-C3N4/chitosan (PCC) membrane was used for the removal of Rhodamine B from aqueous solutions.

Journal ArticleDOI
TL;DR: In this paper, a dynamic generalized genetic algorithm (GDGA) was used to obtain a dynamic seed set in social networks under independent cascade models to identify influential nodes in these snapshot graphs.
Abstract: Over the recent decade, much research has been conducted in the field of social networks. The structure of these networks has been irregular, complex, and dynamic, and certain challenges such as network topology, scalability, and high computational complexities are typically evident. Because of the changes in the structure of social networks over time and the widespread diffusion of ideas, seed sets also need to change over time. Since there have been limited studies on highly dynamical changes in real networks, this research intended to address the network dynamicity in the classical influence maximization problem, which discovers a small subset of nodes in a social network and maximizes the influence spread. To this end, we used soft computing methods (i.e., a dynamic generalized genetic algorithm) in social networks under independent cascade models to obtain a dynamic seed set. We modeled several graphs in a specified timestamp through which the edges and the nodes changed within different time intervals. Attempts were made to find influential individuals in each of these graphs and maximize individuals’ influences in social networks, which could thereby lead to changes in the members of the seed set. The proposed method was evaluated using standard datasets. The results showed that due to the reduction of the search areas and competition, the proposed method has higher scalability and accuracy to identify influential nodes in these snapshot graphs as compared with other comparable algorithms.

Book ChapterDOI
01 Jan 2022
TL;DR: A comprehensive comparative study of a few existing proposals with different approaches to detect and predict Myocardial infarction is done and a deep learning approach is proposed for future implementation in order to achieve superior performance.
Abstract: Myocardial Infarction (MI) is a life-threatening heart disease, timely medical intervention of which can reduce the mortality rate. It can be detected from Electrocardiogram or ECG. Diagnostic methods of this disease by clinical approaches are typically invasive. They also do not fulfill the detection accuracy, and there is a chance of human error. In the medical field, machine learning techniques have great potential for disease diagnosis. We can achieve accurate detection from ECG by using deep learning methods. In this paper, we did a comprehensive comparative study of a few existing proposals with different approaches to detect and predict Myocardial infarction. And then we proposed a deep learning approach for future implementation in order to achieve superior performance.

Journal ArticleDOI
15 Jan 2022-Energy
TL;DR: In this paper, the authors proposed an Information Gap Decision Theory (IGDT) to model the uncertainties of the market uncertainties in a virtual power plant (VPP) scheduling problem and investigated the role of the renewable-based VPP in minimizing emission and maximizing profit.

Journal ArticleDOI
TL;DR: In this paper, a hybrid planning of distributed generation and distribution automation in distribution networks aiming to improve the reliability and operation indices is presented, where the objective function minimizes the sum of the expected daily investment, operation, energy loss and reliability costs.


Journal ArticleDOI
TL;DR: In this paper, a nuclear zinc(II) Schiff base complexes were synthesized through the reaction of ONNO tetradentate Schiff base ligands derived from the condensation of 2,2-dimethyl-1,3-propanediamine and 5-chlorosalicylaldehyde or 5-bromosalicityylaldehyde with zinc acetylacetonate salt.

Journal ArticleDOI
TL;DR: In this article, the authors proposed a conceptual framework for project-oriented organizations to select the most appropriate portfolio based on organizational resilience strategy, which can make them flexible in dealing with risks and decreasing the recovery time after disruptions.
Abstract: The COVID-19 pandemic has affected the world's economic condition significantly, and construction projects have faced many challenges and disruptions as well. This should be an alarm bell for project-oriented organizations to be prepared for such events and take necessary actions at the earliest time. In this regard, project-oriented organizations should establish their business based on the resilience concept, making them flexible in dealing with risks and decreasing the recovery time after disruptions. The current study proposes a practical conceptual framework for project-oriented organizations to select the most appropriate portfolio based on organizational resilience strategy. First, portfolios are identified, and the projects are clustered based on organizational resilience strategy using the Elbow and Fuzzy C-Means methods. The projects' scores are then determined employing the stakeholders' opinions and Robust Ordinal Priority Approach (OPA-R), which can handle the uncertainty of the input data. After that, each portfolio's score is determined using the obtained scores of the projects, and the best portfolio linked to the organizational resilience strategy is selected. The application of the proposed method to a project-oriented organization is examined, and its usage for the managers of project-oriented organizations is discussed in detail.

Journal ArticleDOI
15 Jan 2022-Energy
TL;DR: In this article, a flexible coordinated power system expansion planning (CPSEP) framework is proposed to minimize the summation of the expansion planning, operation and reliability costs while taking the network model based on AC optimal power flow constraints, and the reliability and flexibility considerations into account.

Journal ArticleDOI
TL;DR: In this article, the effects of doped nanoparticles (NPs) and nanocomposites (NCs) such as SnO2/TiO2 NCs, Ni-doped TiO2 NPs, Agdoped NO2 and TiO 2 NCs as photoanode on the performance of Dye synthesized solar cells (DSSCs) were studied.

Journal ArticleDOI
TL;DR: In this paper, the authors evaluated the effects of supplementation of Caspian roach fry (Rutilus caspicus) diet with different doses of savory essential oil (SEO) (Satureja hortensis) on growth performance, haematological parameters, serum and mucus immunological indices, serum antioxidant indices, and salinity stress resistance.