Graduate University of Advanced Technology
Graduate University of Advanced Technology
Roohollahi E.,Shahid Bahonar University of Kerman |
Mehrabian M.A.,Shahid Bahonar University of Kerman |
Abdolzadeh M.,Graduate University of Advanced Technology
Energy and Buildings | Year: 2013
In this study, the solar energy gain on 3-D geometries and the amounts of energy output from photovoltaic panels fixed on selected geometries were determined using the radiation data collected by the Iranian Meteorological Organization on a horizontal surface. The results can be used in designing solar houses, street and traffic lights, and rail transport systems. The K-T model was used to calculate the daily average solar radiation intensity; the solar radiation data on a horizontal surface in Kerman was used as input in the above mentioned model. The solar energy on 3-D geometries was calculated in different directions throughout the year. Finally, the geometries were compared with each other in terms of solar energy gain in different months of the year. The results show that the solar energy gain on selected geometries in hot season of the year prevails in east-west direction. © 2013 Elsevier B.V. All rights reserved.
Kouhi S.,Graduate University of Advanced Technology |
Ranjbar M.R.,Graduate University of Advanced Technology |
Mohammadian M.,Shahid Bahonar University of Kerman |
Khavaninzadeh M.,Graduate University of Advanced Technology |
Khavaninzadeh M.,Tehran Regional Electrical Company
International Journal of Engineering, Transactions A: Basics | Year: 2014
According to importance and security of energy in recent years, too many research about renweable energy have been done. Among renewable energy sources, fuel cell has far attention, because the efficiency of fuel cells is always higher as compared with other distributed generation systems. Fuel cell has a lot of advantages such as: high efficiency (35% - 60%), low to zero emissions, quiet operation, high reliability due to the limited number of moving parts and the ability to be placed at any site in a distribution system without geographic limitations. Management in supplying residential load with fuel cell power plant (FCPP) connected to grid is the aim of this paper. Economical fuel cell model includes Operational cost, startup cost and different tariffs on electricity during the day hour is discussed. In the present research, reformer is used to produce hydrogen for FCPP. Genetic algorithm (GA) is used to determine optimal operation of FCPP with six-minute change in load pattern. The results are discussed in conclusion.
Marandi S.M.,Shahid Bahonar University of Kerman |
Anvar M.,Graduate University of Advanced Technology |
Bahrami M.,Shahid Bahonar University of Kerman
Computers and Geotechnics | Year: 2016
Uncertainty in safety factor (FS) of slope stability is a main subject in geotechnical engineering. Uncertainties are associated with shear strength parameters of the soil, their complex nature, numerical analysis methods, etc. The main aim of this research was to improve the model used by other researchers for determination of FS of embankments built on stone column improved soft soils, and compare the results with what was found in literature using α-cut fuzzy technique (FAC). The results showed that the highest and lowest uncertainty occurred at equivalent area with existence of underground water, and for single stone column with no underground water respectively. A reduction factor proposed to amend the FS calculated using the equivalent area method. In the equivalent area model, the equivalent parameters were used. This contribution might have real and more precise behavior in comparison with what was suggested by other researchers in literature. In addition, with applying of membership functions, the height of embankment had the most effect on the values of FS obtained using finite element (FE) and finite difference (FD) methods. © 2016 Elsevier Ltd.
Nankali S.,Graduate University of Advanced Technology
Journal of applied clinical medical physics | Year: 2016
In external-beam radiotherapy, using external markers is one of the most reliable tools to predict tumor position, in clinical applications. The main challenge in this approach is tumor motion tracking with highest accuracy that depends heavily on external markers location, and this issue is the objective of this study. Four commercially available feature selection algorithms entitled 1) Correlation-based Feature Selection, 2) Classifier, 3) Principal Components, and 4) Relief were proposed to find optimum location of external markers in combination with two "Genetic" and "Ranker" searching procedures. The performance of these algorithms has been evaluated using four-dimensional extended cardiac-torso anthropomorphic phantom. Six tumors in lung, three tumors in liver, and 49 points on the thorax surface were taken into account to simulate internal and external motions, respectively. The root mean square error of an adaptive neuro-fuzzy inference system (ANFIS) as prediction model was considered as metric for quantitatively evaluating the performance of proposed feature selection algorithms. To do this, the thorax surface region was divided into nine smaller segments and predefined tumors motion was predicted by ANFIS using external motion data of given markers at each small segment, separately. Our comparative results showed that all feature selection algorithms can reasonably select specific external markers from those segments where the root mean square error of the ANFIS model is minimum. Moreover, the performance accuracy of proposed feature selection algorithms was compared, separately. For this, each tumor motion was predicted using motion data of those external markers selected by each feature selection algorithm. Duncan statistical test, followed by F-test, on final results reflected that all proposed feature selection algorithms have the same performance accuracy for lung tumors. But for liver tumors, a correlation-based feature selection algorithm, in combination with a genetic search algorithm, proved to yield best performance accuracy for selecting optimum markers.
Kourki H.,Graduate University of Advanced Technology |
Mortezaei M.,Polymer Engineering Group |
Famili M.H.N.,Tarbiat Modares University |
Malekipirbazari M.,Bilkent University
Journal of Composite Materials | Year: 2017
Organic and inorganic materials are usually added to polymers in order to achieve some benefits such as reducing the product cost, as well as achieving higher modulus and strength. Addition of these materials would change polymers’ behavior. Adding nano-materials to polymers on the other hand is a new challenge in the field of polymer composites where previous studies were unable to achieve good correlation with nano-composites at higher particle volume fractions. In this research, Yamamoto network theory is developed to investigate the behavior of highly nano-filled systems. For this purpose, five different types of sub-chain and two types of junctions are considered and the effect of particle size, concentration, and the model parameters in association with the behavior of the junctions are studied. Moreover, some experiments are performed on polystyrene filled with nano-silica at different particle size and concentration values in frequency mod in the linear region. At last, we compared the results of our final model with the experiments in order to evaluate its accuracy, which confirmed a very good agreement. © 2016, © The Author(s) 2016.
Noori H.R.,Islamic Azad University at Kermān |
Jomehzadeh E.,Graduate University of Advanced Technology
Mechanics and Industry | Year: 2014
In this paper, a Levy-type solution based on the modified couple stress theory is developed to study the buckling behaviors of micro-plates. Based on this theory, length scale parameter is considered to capture the size effect of rectangular micro-plates. Minimum potential energy and adjacent-equilibrium criteria are exploited to obtain the stability equations and corresponding boundary conditions. Different boundary conditions with two opposite edges simply supported and arbitrary boundary conditions along the other edges are considered. To illustrate the new model, both uniaxial and biaxial loads are applied and the critical buckling loads are defined for over a wide range of thickness, different length scale parameters and various boundary conditions. To show the accuracy of the formulations, present results are compared with available results in literature for specific cases and a very good agreement is observed. Results reveal that the critical buckling load increases as the length scale parameter increases especially when the thickness of the micro-plates becomes in order of length scale parameter and this effect is more significant for free boundary condition. © 2014 AFM, EDP Sciences.
Faraji R.,Graduate University of Advanced Technology |
Rouholamini A.,Graduate University of Advanced Technology |
Naji H.R.,Graduate University of Advanced Technology |
Fadaeinedjad R.,Graduate University of Advanced Technology |
Chavoshian M.R.,Graduate University of Advanced Technology
IET Power Electronics | Year: 2014
Maximum power point tracking (MPPT) is an important issue in photovoltaic (PV) systems. Hence, we need to design an efficient and cost-effective system which is able to transfer the maximum power received from PV cell to the load. This study describes the hardware implementation of a real time incremental conductance (INC) MPPT algorithm for a PV module. According to the PV dynamic model, a criterion is presented that by modifying the original algorithm, an adaptive variable step size INC algorithm is realised and efficiently is implemented on XILINX XC3S400 field programmable gate array (FPGA). At first, the PV model characteristics and the proposed algorithm with the mathematical equations are modelled and simulated using 'MATLAB/Simulink-system generator' environment; then the system performance is examined. It is worth that some solutions are proposed to simplify the system based on the design constraints for hardware implementation of digital controller on FPGA. The optimised design of hardware architecture and the high processing speed of FPGA have enhanced the performance of digital controller in designed MPPT system. The experimental results show the proposed method provides a good tracking speed and also mitigation of fluctuation output power. © The Institution of Engineering and Technology 2014.
Amoozegar M.,Iran University of Science and Technology |
Rashedi E.,Graduate University of Advanced Technology
Proceedings of the 4th International Conference on Computer and Knowledge Engineering, ICCKE 2014 | Year: 2014
Parameter tuning has critical influences on the performance of evolutionary algorithms. Deliberate parameter investigation and changing the value of them is very expensive and time consuming. This paper has applied Design of Experiment (DOE) method to tune the parameters of Gravitational Search Algorithms (GSA) systematically. Also, to reduce its complexity and increase the performance, simple modification has been presented to determine the number of effective objects (Kbest). Best configurations of 17 standard functions are obtained by executing DOE. Analysis of the results confirms that parameter tuning and Kbest modification have improved the performance of the GSA. Meanwhile, these results have been obtained by least experiments in acceptable time. © 2014 IEEE.
Esmaeilian H.R.,Graduate University of Advanced Technology |
Fadaeinedjad R.,Graduate University of Advanced Technology
IET Conference Publications | Year: 2013
This paper presents a methodology to reduce the power loss and improve the system performance by simultaneous applying the network reconfiguration and capacitor placement using a Fuzzy-Genetic Algorithm (FGA). The fuzzy multi-objective function comprises the overall annual cost of the network loss and that of shunt capacitors, total harmonic voltage distortion (THDV), voltage profile, and voltage unbalance factor at the network buses. An unbalanced 33-bus radial distribution system is studied in several cases to demonstrate the effectiveness of the proposed algorithm.
Eren T.,Pamukkale University |
Atar N.,Pamukkale University |
Yola M.L.,Sinop University |
Karimi-Maleh H.,Graduate University of Advanced Technology
Food Chemistry | Year: 2015
Lovastatin (LOV) is a statin, used to lower cholesterol which has been found as a hypolipidemic agent in commercial red yeast rice. In present study, a sensitive molecular imprinted quartz crystal microbalance (QCM) sensor was prepared by fabricating a self-assembling monolayer formation of allylmercaptane on QCM chip surface for selective determination of lovastatin (LOV) in red yeast rice. To prepare molecular imprinted quartz crystal microbalance (QCM) nanosensor, LOV imprinted poly(2-hydroxyethyl methacrylate-methacryloylamidoaspartic acid) [p(HEMA-MAAsp)] nanofilm was attached on the modified gold surface of QCM chip. The non-modified and improved surfaces were characterized by using contact angle, atomic force microscopy (AFM) and Fourier transform infrared (FTIR) spectroscopy. The imprinted QCM sensor was validated according to the ICH guideline (International Conference on Harmonisation). The linearity range was obtained as 0.10-1.25 nM. The detection limit of the prepared material was calculated as 0.030 nM. The developed QCM nanosensor was successfully used to examine red yeast rice. Furthermore, the stability and repeatability of the prepared QCM nanosensor were studied. The spectacular long-term stability and repeatability of the prepared LOV-imprinted QCM nanosensor make them intriguing for use in QCM sensors. © 2015 Elsevier Ltd. All rights reserved.