Khorasan Institute of Higher Education

Mashhad, Iran

Khorasan Institute of Higher Education

Mashhad, Iran
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Heydari V.,Khorasan Institute of Higher Education | Karsaz A.,Khorasan Institute of Higher Education | Heydari R.,Ferdowsi University of Mashhad
Proceedings - 19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016 | Year: 2017

Diabetes is one of the important issues in the medical field in which blood glucose level control and regulation needs to permanent care. Determination of appropriate rate of insulin injection in order to blood glucose level stabilization to a normal level is vital for diabetics. In this paper, optimal plasma blood glucose tracking using subcutaneous insulin administration is investigated. Here one of the recent mathematical models is used for glucose-insulin regulation system which consists of delayed nonlinear differential equations and is one of the most comprehensive models in this field, known as Palumbo. In this paper for the first time, employing combination of the fuzzy logic controller optimized by genetic algorithm with Palumbo control method is used to regulate the blood glucose level in diabetic patients. One of the most important features of the proposed controller is the ability to set the parameters for patients using genetic algorithm. Finally, the simulation results of the fuzzy control method and fuzzy-genetic control method are compared with the control method based on Palumbo feedback linearization, which indicates the proper functioning of the proposed controller for tracking of desired blood glucose level at the lowest possible error. © 2016 IEEE.

Vosooghi-poostindoz V.,Islamic Azad university at Kashmar | Foroughi A.R.,Khorasan Institute of Higher Education | Delkhoroshan A.,Islamic Azad university at Kashmar | Ghaffari M.H.,Ferdowsi University of Mashhad | And 2 more authors.
Small Ruminant Research | Year: 2014

The effects of different levels of protein and probiotics offered before and after weaning on growth performance, blood metabolites, and rumen fermentation were investigated in two experiments. In Exp. 1 (the pre-weaning phase), twenty-four single lambs, 10 days of age with an average live body weight of 15.3±1.8kg, were individually penned and randomly assigned to the treatments in a 2×2 factorial arrangement of protein levels (16% vs. 18% CP of DM) and probiotic levels (0 vs. 2g Protexin®/d). The diets consisted of 20% lucerne hay and 80% concentrate (on a DM basis) offered over a total of 60days including 15days of adjustment period and 45days of experimental period until weaning. The lambs were transferred to separate pens where they were allowed to suckle their respective dams twice a day (in the morning and in the evening). The experimental procedure in Exp. 2 (the post-weaning phase) was the same as that in Exp. 1 except for the protein levels (14.5% vs. 16.5% CP of DM) administered and the lucerne hay (30.0%) included in the diets. Twenty-four 78-days-old lambs, weighing 30.5±2.6kg, were individually penned and offered the diets for 60 days inclusive of 15 days of feed adjustment. The results of Exp. 1 showed that raising the protein content of the diet from 16% to 18% CP led to increased weaning weights (28.2 vs. 32.4±1.83kg; P<0.05), average daily gain (ADG) (288g/d vs. 381±19.4g/d; NS), and feed intake (490g/d vs. 541±19.4g/d; P<0.05). However, no significant differences were observed in food conversion ratio (FCR; P>0.05) among the treatments. BUN concentration was on the 18% CP diet (14.3mg/dl vs. 17.4±0.50mg/dl; P<0.05), and on diets without probiotics compared to those with probiotics (15.0mg/dl vs. 16.7±0.50mg/dl; P<0.05). Probiotic supplementation increased feed intake (485g/d vs. 546±19.4g/d; P<0.05) and rumen NH3-N (7.13mg/dl vs. 8.39±0.19mg/dl; P<0.05) during the pre-weaning period. Cortisol concentration was significantly lower (P<0.05) in lambs fed the probiotic significantly lower in the 16% CP diet than that supplemented diets than in those fed probiotic-lacking diets 24h after weaning (17.3mg/dl vs. 16.6±0.21mg/dl) and 48h after weaning (16.8mg/dl vs. 15.9±0.21mg/dl). In Exp. 2, final weight, ADG, feed intake, and FCR were not significantly different among the diets with different protein levels or between those with or without probiotic supplementation. In addition, feeding diets with the lower CP level (14.5% vs. 16.5%; DM basis) resulted in lower concentrations of blood metabolites, urea nitrogen (19.9mg/dl vs. 25.0±1.16mg/dl; P<0.05), rumen pH (5.99±vs. 6.22±0.03; P<0.05), and ruminal NH3-N (10.99mg/dl vs. 11.22±0.03mg/dl; P<0.05). It was concluded that the higher protein level (18% CP; DM basis) fed during the pre-weaning phase led to increasing feed intake and weaning weight compared to the lower CP diet (16%) but that a higher level of protein in the post-weaning diet (16.5% vs. 14.5% CP; DM basis) did not affect performance. Supplementing the diets with probiotics might have reduced stress (lower cortisol concentration) after weaning but it did not improve the performance of the lambs. © 2013 Elsevier B.V.

Mashhad A.M.,Khorasan Institute of Higher Education | Mashhadi S.K.M.,Iran University of Science and Technology
4th Iranian Joint Congress on Fuzzy and Intelligent Systems, CFIS 2015 | Year: 2015

With the increasing usage of autonomous underwater vehicles in offshore applications, it has been important to have a controller that can satisfy a convincing performance throughout the mission. Due to non-linear and time varying dynamic, controlling this vehicle has some special difficulties. Modeling errors that may exist and Uncertainties which associated with the environment firstly evokes that the idea of a robust controller to control the underwater robot. For this purpose, after the linearization of underwater robot model with six degrees of freedom at the optimum operating point, then design H-infinity controller. Furthermore fuzzy logic controller which can works with nonlinear model and unpredictable uncertainty Such as sea currents which influence on autonomous underwater vehicle performance is designed. Finally compare obtained results in fuzzy logic controller with H-infinity robust controller. As shown in simulation results fuzzy logic controller has better performance in the presence of uncertainties in compare with H-infinity robust controller. © 2015 IEEE.

Zeynal H.,University of Selangor | Eidiani M.,Khorasan Institute of Higher Education
22nd Iranian Conference on Electrical Engineering, ICEE 2014 | Year: 2014

This paper presents an efficient MILP algorithm to solve hydrothermal scheduling problem with enhanced flexibility via multiple pumped-storage units. A comprehensive Hydraulic model for pumped-storage and river system constraints is developed. The performance improvement of the proposed algorithm falls in two-fold. First, a piecewise approximation approach is applied throughout all nonlinear functions of the model, representing fully linear HTS model. Second, multi-threadng technology which accelerates the solution process of Branch and Cut method. Simulation results show that the developed linear MIP-HTS algorithm exhibits high performance in terms of objective cost and execution time. Further results demonstrated that implementation of multi-thread parallel programming can further improve the computation time as compared to the serial executions. This, however, allowed one to procure better solution by taking tighter optimality gap that results in more accurate solution. © 2015 IEEE.

Hamidzadeh S.M.,Khorasan Institute of Higher Education | Yaghoobi M.,Islamic Azad University at Mashhad
Conference Proceedings of 2015 2nd International Conference on Knowledge-Based Engineering and Innovation, KBEI 2015 | Year: 2015

In this paper focuses on the problem of chaos control based on single feedback controller. The proposed feedback control scheme has a simple control structure, and is theoretically and numerically proved to be less conservative than some existing results. In the fact, we solve the problem of set-point control of a permanent-magnet synchronous motor via single feedback control. Using the Lyapunov theory stability controller has been demonstrated. The simulation results demonstrate the effectiveness of the control scheme. © 2015 IEEE.

Mashhad A.M.,Khorasan Institute of Higher Education | Karsaz A.,Khorasan Institute of Higher Education | Mashhadi S.K.M.,Khorasan Institute of Higher Education
International Journal on Communications Antenna and Propagation | Year: 2013

Tracking high maneuvering underwater targets with radar is very complex, because the acceleration is not directly measurable. This may cause the tracking errors which will diverge the estimation when maneuver happened. In this article Optimal Two-Stage Kalman Filter (OTSKF) used for tracking purpose, which can estimate the acceleration in maneuvering targets. Under this method, Acceleration of the targets has been identified and it is estimated at the moment. Also an effective data fusion method plays critical role in order to track the objects accurately. We use Competitive Hopfield Neural Network (CHNN) to associate obtained data from radar measurements with existing target. In this paper we investigate new method, which combine these two algorithms for tracking highly maneuvering targets. As simulation results show, to solve multiple-underwater vehicles tracking problem, investigated method have good ability and suitable performance in high maneuvering targets. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.

Moayyedian F.,Khorasan Institute of Higher Education | Kadkhodayan M.,Ferdowsi University of Mashhad
Journal of Computational and Applied Research in Mechanical Engineering | Year: 2015

One of the new research fields in plasticity is related to choosing a proper non-associated flow rule (NAFR), instead of the associated one (AFR), to predict the experimental results more accurately. The idea of the current research is derived from combining von Mises and Tresca criteria in the places of yield and plastic potential surfaces in rate-independent plasticity. This idea is implemented using backward Euler method in non-linear finite element simulation. The results are compared with the experimental data for an internally pressurized thick-walled cylinder and it is demonstrates that, using the proposed NAFR in rate-independent plasticity, the experimental results could be predicted more accurately. Finally, it can be said that the current research confirms the results of the previous works on rate-dependent plasticity (viscoplasticity) in steady state conditions. © 2015, Shahid Rajaee Teacher Tarining University (SRTTU). All rights reserved.

Bahari M.H.,Catholic University of Leuven | Karsaz A.,Khorasan Institute of Higher Education | Pariz N.,Ferdowsi University of Mashhad
International Journal of Innovative Computing, Information and Control | Year: 2011

In this paper, a fast target maneuver detection technique and high accurate tracking scheme is proposed with the use of a new hybrid Kalman filter-fuzzy logic architecture. Due to the stressful environment of target tracking problem such as inaccurate detection and target maneuver, most of existing trackers do not represent desired performance in different situations. In practice, while the conventional Kalman filters (KF) perform well in tracking a target with constant velocity, their performance may be seriously degraded in the presence of maneuver. To reach an accurate target tracking system in such a stressful environment, fuzzy logic-based algorithms with intelligent adaptation capabilities have recently been issued. Although these methods yield reasonable performance in tracking maneuvering targets, their accuracy in non-maneuvering mode was not satisfactory. In this research, based on information about the target maneuver dynamics, a new hybrid tracker (HT) is introduced. The proposed algorithm combines two methodologies into one architecture synergistically. In other words, the KF is used when the target velocity is approximately constant, whereas fuzzy estimator is used when the target maneuvers. Simulation results show that the proposed method is superior to some conventional approaches in tracking accuracy. ICIC International © 2011.

Khorasani J.,Khorasan Institute of Higher Education | Mashhadi H.R.,Ferdowsi University of Mashhad
2013 21st Iranian Conference on Electrical Engineering, ICEE 2013 | Year: 2013

Regarding the importance of the strategic bidding problem in wholesale energy markets, a method is proposed to design the optimal piece-wise bid function from the viewpoint of a generation company. In this paper, the bidding problem is formulated, assuming the market clearing price as a stochastic variable. The method is used to calculate the optimal bidding curve. A simple example is presented to show the technique of the paper. © 2013 IEEE.

Karsaz A.,Khorasan Institute of Higher Education | Mashhadi H.R.,Ferdowsi University of Mashhad | Mirsalehi M.M.,Ferdowsi University of Mashhad
International Journal of Electrical Power and Energy Systems | Year: 2010

The deregulation of electric power supply industries has raised many challenging problems. One of the most important ones is forecasting the market clearing price (MCP) of electricity. Decisions on various issues, such as to buy or sell electricity and to offer a transaction to the market, require accurate knowledge of the MCP. Another problem, which has also been an important issue of the traditional power systems, is load forecasting for both short and long terms. In this paper, a new forecasting method is introduced to predict the next day electricity price and load. The proposed method is based on cooperative co-evolutionary (Co-Co) approach and has been applied to the real power market. Most of the conventional forecasting methods are based on a single neural network prediction. These methods might misrepresent parts of the input-output data mapping that could have been correctly represented by cooperation of multiple networks. In this paper, a new Co-Co adaptive algorithm with adjustable connections in a recursive procedure is proposed. The obtained results show significant improvement in both price and load forecasting. © 2009 Elsevier Ltd. All rights reserved.

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