• The Object Detection Efficiency in Synthetic Aperture Radar Systems 

  Chernoyarov, O. V.؛ Dobrucky, B.؛ Ivanov, V. A.؛ Faulgaber, A. N. (Materials and Energy Research Center, 2020-02-01)

  The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in ...

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• An Experimental Investigation of Enclosure’s Effect on Noise Reduction in Portable Generators (Technical Note) 

  Al-Bugharbee, H.؛ Jubear, A. (Materials and Energy Research Center, 2020-02-01)

  The portable generators are the main means of compensating the shortage of national electricity power as in Iraq. However, their noise causes a huge disturbance, uncomforting and loss of concentration of the nearby resident. ...

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• Investigation on Forming of Titanium Bipolar Plates Using Micro-stamping Process 

  Modanloo, V.؛ Alimirzaloo, V.؛ Elyasi, M. (Materials and Energy Research Center, 2020-02-01)

  Micro-stamping process is one of the most cost-effective methods to manufacture metallic bipolar plates (BPPs). This research investigates the forming of titanium thin sheet as a potential candidate for BPPs in proton ...

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• Corrosion Behavior of TiN/CrN Nanoscale Multi-layered Coating in Ringer's Solution 

  Faghani, G.؛ Rabiee, S. M.؛ Nourouzi, S.؛ Elmkhah, H. (Materials and Energy Research Center, 2020-02-01)

  In this article, corrosion behavior of the single-layered TiN, single-layered CrN and multi-layered TiN/CrN coatings have been fabricated on 420C stainless steel (SS) by Cathodic Arc Evaporation (CAE) method in Ringer's ...

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• Numerical Study of Flow Field in New Design Dynamic Cyclone Separators 

  Safikhani, H.؛ Esmaeili, F.؛ Salehfard, S. (Materials and Energy Research Center, 2020-02-01)

  In this paper the numerical simulation of flow field in the new design dynamic cyclone separator is investigated. The effects of different geometrical parameters such as impeller diameter, number of vanes, length and the ...

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• Radar Absorption Performance of Fe3O4/AC/PANI Nanocomposites Prepared from Natural Iron Sand 

  Taufiq, A.؛ Sutiami, R.؛ Subadra, S. U. I؛ Hidayat, A.؛ Diantoro, M.؛ Sunaryono, S.؛ Hidayat, N.؛ Adi, W. A. (Materials and Energy Research Center, 2020-02-01)

  In this work, the Fe3O4 nanoparticles from natural iron sand were combined with active carbon (AC) and polyaniline (PANI) to obtain Fe3O4/AC/PANI nanocomposites with mass variations ...

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• Tensile and Flexural Analysis of a Hybrid Bamboo/Jute Fiber-reinforced Composite with Polyester Matrix as a Sustainable Green Material for Wind Turbine Blades 

  Mekonnen, B. Y.؛ Mamo, Y. J. (Materials and Energy Research Center, 2020-02-01)

  Recently, there has been a fast growth in research and investigation in the natural fibre composite due to the advantages of these materials, such us low environmental impact, low cost and good mechanical properties compared ...

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• Generating and Focusing the Ultrasound Waves Using Elastomer-based Capacitive Micro-Speakers 

  Soosani, M.؛ Fathalilou, M.؛ Rezazadeh, G.؛ Homaei, M. (Materials and Energy Research Center, 2020-02-01)

  Ultrasound wave is a kind of waves with the frequency higher than the human audible frequency. Although ultrasound was first used for military identification purposes, it has been used for decades for various other ...

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• A New Approach Generating Robust and Stable Schedules in m-Machine Flow Shop Scheduling Problems: A Case Study 

  Abtahi, Z.؛ Sahraeian, R.؛ Rahmani, D. (Materials and Energy Research Center, 2020-02-01)

  This paper considers a scheduling problem with uncertain processing times and machine breakdowns in industriall/office workplaces and solves it via a novel robust optimization method. In the traditional robust optimization, ...

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• Speech Emotion Recognition Using Scalogram Based Deep Structure 

  Aghajani, K.؛ Esmaili Paeen Afrakoti, I. (Materials and Energy Research Center, 2020-02-01)

  Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, ...

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• Identification of Wind Turbine using Fractional Order Dynamic Neural Network and Optimization Algorithm 

  Aslipour, Z.؛ Yazdizadeh, A. (Materials and Energy Research Center, 2020-02-01)

  In this paper, an efficient technique is presented to identify a 2500 KW wind turbine operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with wind behavior is identified by using a proposed ...

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• Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator 

  Ouada, L.؛ Benaggoune, S.؛ Belkacem, S. (Materials and Energy Research Center, 2020-02-01)

  The combination of neural networks and fuzzy controllers is considered as the most efficient approach for different functions approximation, and indicates their ability to control nonlinear dynamical systems. This paper ...

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• Novel Phase-frequency Detector based on Quantum-dot Cellular Automata Nanotechnology 

  Gholami, M.؛ Binaei, R.؛ Gholamnia Roshan, M. (Materials and Energy Research Center, 2020-02-01)

  The electronic industry has grown vastly in recent years, and researchers are trying to minimize circuits delay, occupied area and power consumption as much as possible. In this regard, many technologies have been introduced. ...

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• Optimization of Quantum Cellular Automata Circuits by Genetic Algorithm 

  Parvane, M.؛ Rahimi, E.؛ Jafarinejad, F. (Materials and Energy Research Center, 2020-02-01)

  Quantum cellular automata (QCA) enables performing arithmetic and logic operations at the molecular scale. This nanotechnology promises high device density, low power consumption and high computational power. Unlike the ...

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• Using Sliding Mode Controller and Eligibility Traces for Controlling the Blood Glucose in Diabetic Patients at the Presence of Fault 

  Noori, A.؛ Sadrnia, M. A.؛ Naghibi Sistani, M. B. (Materials and Energy Research Center, 2020-02-01)

  Some people suffering from diabetes use insulin injection pumps to control the blood glucose level. Sometimes, the fault may occur in the sensor or actuator of these pumps. The main objective of this paper is controlling ...

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• Nonlinear Control for Positive Output Super Lift Luo Converter in Stand Alone Photovoltaic System 

  Fallahzadeh, S. A. A؛ Abjadi, N. R.؛ Kargar, A.؛ Blaabjerg, F. (Materials and Energy Research Center, 2020-02-01)

  This paper proposes a stand-alone photovoltaic (PV) system based on a DC-DC positive output super lift Luo (POSLL) converter. A conventional sliding mode control, a sliding mode controller using a simple sign function and ...

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• Application of Decoupled Scaled Boundary Finite Element Method to Solve Eigenvalue Helmholtz Problems (Research Note) 

  Khodakarami, M. I.؛ Khalaj Hedayati, H. R. (Materials and Energy Research Center, 2020-02-01)

  A novel element with arbitrary domain shape by using decoupled scaled boundary finite element (DSBFEM) is proposed for eigenvalue analysis of 2D vibrating rods with different boundary conditions. Within the proposed element ...

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• An Effective Model for SMS Spam Detection Using Content-based Features and Averaged Neural Network 

  Sheikhi, S.؛ Kheirabadi, M. T.؛ Bazzazi, A. (Materials and Energy Research Center, 2020-02-01)

  In recent years, there has been considerable interest among people to use short message service (SMS) as one of the essential and straightforward communications services on mobile devices. The increased popularity of this ...

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• Modelling Departure Time, Destination and Travel Mode Choices by Using Generalized Nested Logit Model: Discretionary Trips 

  Elmorssy, M.؛ Onur, T. H. (Materials and Energy Research Center, 2020-02-01)

  Despite traditional four-step model is the most prominent model in majority of travel demand analysis, it does not represent the potential correlations within different travel dimensions. As a result, some researches have ...

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• Feature Selection for Small Sample Sets with High Dimensional Data Using Heuristic Hybrid Approach 

  Biglari, M.؛ Mirzaei, F.؛ Hassanpour, H. (Materials and Energy Research Center, 2020-02-01)

  Feature selection can significantly be decisive when analyzing high dimensional data, especially with a small number of samples. Feature extraction methods do not have decent performance in these conditions. With small ...

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