Islamic Azad University of Damavand is a campus of Islamic Azad University system in Iran. has been established in 2002 with two major fields.This branch, now, has 54 fields – majors and more than 12000 students in Bachelor and master level, located in the east of Tehran, is a significant branch of technical and engineering departments in the country. Wikipedia.
Zangeneh A.,Islamic Azad University at Damavand |
Rahimi-Kian A.,University of Tehran
Energy | Year: 2011
To determine the optimal size, location and also the proper technology of distributed generation (DG) units in distribution systems, a static fuzzy multiobjective model is proposed in this paper. The proposed model can concurrently optimize a number of conflicting and competing objective functions including economic, technical and environmental attributes. The economic function is the profit of a distribution company (DisCo) from selling the DG output power to its customers. The contribution of this model is the consideration of some DG marginal revenues in the economic function. Inclusion of marginal revenues would not only reduce the investment risks of DG technologies, but also would enable the optimal penetration of DG units. The proposed DG planning framework considers various DG technologies such as photovoltaic (PV), wind turbine (WT), fuel cell (FC), micro-turbine (MT), gas turbine (GT) and diesel engine (DE). The system uncertainties (including those for the energy demand, energy price and DG technologies operating and investment costs) are modeled using fuzzy numbers. The numerical case studies have been carried out using the IEEE 37-node distribution test system to demonstrate the performance of the proposed DG planning model. © 2011.
Ilbeygi M.,Islamic Azad University at Damavand |
Shah-Hosseini H.,Shahid Beheshti University
Engineering Applications of Artificial Intelligence | Year: 2012
Emotion recognition plays an effective and important role in HumanComputer Interaction (HCI). Recently, various approaches to emotion recognition have been proposed in the literature, but they do not provide a powerful approach to recognize emotions from Partially Occluded Facial Images. In this paper, we propose a new method for Emotion Recognition from Facial Expression using Fuzzy Inference System (FIS). This novel method is even able to recognize emotions from Partially Occluded Facial Images. Moreover, this research describes new algorithms for facial feature extraction that demonstrate satisfactory performance and precision. In addition, one of the main factors that have an important influence on the final precision of fuzzy inference systems is the membership function parameters. Therefore, we use a Genetic Algorithm for parameter-tuning of the membership functions. Experimental results report an average precision rate of 93.96% for Emotion Recognition of six basic emotions, which is so promising. © 2011 Elsevier Ltd. All rights reserved.
Javadi-Moghaddam J.,Islamic Azad University at Damavand |
Bagheri A.,Guilan University
Expert Systems with Applications | Year: 2010
This study presents an adaptive neuro-fuzzy sliding-mode-based genetic algorithm (ANFSGA) control system for a remotely operated vehicle (ROV) with four degrees of freedom (DOF)s. In many applications, ROVs will need to be capable of maneuvering to any given point, following object, and to be controllable from the surface. Therefore, an ANFSGA control system is introduced for tracking control of the ROV to achieve a high precision position control. Since the dynamic of ROVs are highly nonlinear and time varying, an ANFSGA control system is investigated according to direction-based genetic algorithm (GA) with the spirit of sliding mode control and adaptive neuro-fuzzy sliding mode (ANFS) based evolutionary procedure. In this way, on-line learning ability is employed to deal with the parametric uncertainty and disturbance by adjusting the ANFS inference parameters. In this proposed controller a GA control system is utilized to be the major controller, and stability can be indirectly insured by the concept of sliding mode control system without strict constraints and detailed system knowledge. © 2009 Elsevier Ltd. All rights reserved.
Zabihiyeganeh M.,Tehran University of Medical Sciences |
Jahed A.,Islamic Azad University at Damavand |
Nojomi M.,Tehran University of Medical Sciences
Clinical Endocrinology | Year: 2013
Objective Vitamin D deficiency is a worldwide health problem. Usual supplements are inadequate for prevention of hypovitaminosis D, and much higher doses are needed for its treatment. This study was designed to compare the efficacy and practicality of high-dose intramuscular and oral cholecalciferol in treatment of hypovitaminosis D and to evaluate durability of the effect of each remedy. Design Ninety-two patients with hypovitaminosis D [serum 25(OH) D level < 75 nmol/l] were enrolled in a randomised clinical trial. Participants were randomly assigned to receive 300 000 IU cholecalciferol, either intramuscularly as a single injection or orally in six divided doses during 3 months period. Serum 25(OH) D level was measured at baseline and at 3 and 6 months. Results Both treatment regimens significantly increased the serum 25(OH)D level. Delta change in serum 25(OH) D level from baseline (presented as mean ± SEM) at month 3 was significantly higher in oral than injection group (90 ± 11·2 and 58·8 ± 8·9 nmol/l, respectively, P = 0·03); but was similar at 6th month intervention (52·1 ± 7·6 and 62·2 ± 6·7 nmol/l, respectively, P = 0·32). There was a marginally significant trend in favour of oral group in the proportion of cases attained vitamin D adequacy at 6th month (P = 0·06); but still 15% of all patients remained at < 50 nmol/l. Conclusion Both regimens were considerably effective, safe and practical in treating hypovitaminosis D. Although we revealed superiority of oral route, at least at early short time, the way of treatment may depend on the patient's choice, compliance and availability of various forms of the drug in any regions. © 2012 Blackwell Publishing Ltd.
Mohammadi-ivatloo B.,Sharif University of Technology |
Rabiee A.,Islamic Azad University at Abhar |
Soroudi A.,Islamic Azad University at Damavand |
Ehsan M.,Sharif University of Technology
Energy | Year: 2012
Dynamic economic dispatch (DED) aims to schedule the committed generating units' output active power economically over a certain period of time, satisfying operating constraints and load demand in each interval. Valve-point effect, the ramp rate limits, prohibited operation zones (POZs), and transmission losses make the DED a complicated, non-linear constrained problem. Hence, in this paper, imperialist competitive algorithm (ICA) is proposed to solve such complicated problem. The feasibility of the proposed method is validated on five and ten units test system for a 24 h time interval. The results obtained by the ICA are compared with other techniques of the literature. These results substantiate the applicability of the proposed method for solving the constrained DED with non-smooth cost functions. Besides, to examine the applicability of the proposed ICA on large power systems, a test case with 54 units is studied. The results confirm the suitability of the ICA for large-scale DED problem. © 2012 Elsevier Ltd.