List of Articles

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  1 - The Combinational Use Of Knowledge-Based Methods and Morphological Image Processing in Color Image Face Detection
  Sima Emami1 Emami Ramin Meshkabadi
  The human facial recognition is the base for all facial processing systems. In this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.The proposed method is the simplest approach in face spatial localization, More

  The human facial recognition is the base for all facial processing systems. In this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.The proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. Inaddition, to do face recognition, there is no need for the existence of image. For the extraction offacial features, the combination of knowledge-based and morphological image processingmethods is utilized, which has a high accuracy, compared to other methods. The proposedmethod is analyzed by MATLAB software and tested on different images which demonstratedhigh accuracy and efficiency of the method. Manuscript profile
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  2 - Presenting a Novel Algorithm to Optimal Designing Power Distribution Network in the Presence of DG
  Amir Rahimi Hossein Nasiraghdam
  Regarding the nature of non-linear discrete placement, and in order to determine the optimal capacity of the substation, the goal in the present study will be a number of local optimum points. In this research, the problem of optimal placement posts to reduce power loss More

  Regarding the nature of non-linear discrete placement, and in order to determine the optimal capacity of the substation, the goal in the present study will be a number of local optimum points. In this research, the problem of optimal placement posts to reduce power losses by considering Distributed Generation (DG). In formulating the objective function, geographical distribution density in the study period and places constraints on electric posts and geographic terms were investigated. The proposed technique would be based on testing a sample network. Manuscript profile
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  3 - Crack Detection of Fixed-Simply Supported Euler Bernoulli Beam Using Elman Networks
  Siamak Ghadimi Seyed Sina Kourehli
  In this paper, the crack detection and depth ratio estimation method are presented in beamlikestructures using Elman Networks. For this purpose, by using the frequencies of modes asinput, crack depth ratio of each element was detected as output. Performance of the propo More

  In this paper, the crack detection and depth ratio estimation method are presented in beamlikestructures using Elman Networks. For this purpose, by using the frequencies of modes asinput, crack depth ratio of each element was detected as output. Performance of the proposedmethod was evaluated by using three numerical scenarios of crack for fixed-simply supportedbeam consisting of a single cracked, two cracked and three cracked beams have beeninvestigated. The results indicate that the proposed method is effective in the crack detection andestimation of crack depth ratio in beam-like structures. Manuscript profile
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  4 - Effect of Intelligent Vehicle Networks On Roadways Safety
  Mohammad Yahaghifar Asghar Charmin
  Most accidents happens because of lack of Visibility and not Driver’s reaction on time whenan accident occurs. Increasing required Time for driver’s reaction caused to decreasingaccidents on roadways .intelligent vehicle networks brings enough time for react More

  Most accidents happens because of lack of Visibility and not Driver’s reaction on time whenan accident occurs. Increasing required Time for driver’s reaction caused to decreasingaccidents on roadways .intelligent vehicle networks brings enough time for reaction by sendingalert and alternate messages to vehicles on roadway. Main propose in this paper is aroundmodulation on Reception interval Safety message and other effective parameters on vehiclessafety at CCWS applications. Effect of alert and alternate messages will be examined andmodeled with Markova chain. For verification, simulation result we will used Monte Carlomethod, compare result with each other, and calculated probability of collision for those vehiclesthat used vehicles network on roadway. Manuscript profile
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  5 - Generation Scheduling in Large-Scale Power Systems with Wind Farms Using MICA
  Hossein Nasiragdam Nariman Najafian
  The growth in demand for electric power and the rapid increase in fuel costs, in whole of theworld need to discover new energy resources for electricity production. Among of the nonconventionalresources, wind and solar energy, is known as the most promising deviceselect More

  The growth in demand for electric power and the rapid increase in fuel costs, in whole of theworld need to discover new energy resources for electricity production. Among of the nonconventionalresources, wind and solar energy, is known as the most promising deviceselectricity production in the future. In this thesis, we study follows to long-term generationscheduling of power systems in the presence of wind units considering demand responseprograms for a power generation system with the conventional structure containing 10 units ofthermal power plants, 2 units of large-scale wind farms, with regard to demand responseprograms. In this study, the model of equation order 2, used to model the cost of thermal powerplants. Due to the apparent wind farm modeling of wind speed in the months of the year has beenused the productivity of each month. For modeling the demand, response of the concept of virtualgeneration demand resources is used and production costs of the final objective function areapplied. All simulations, performed in MATLAB. The results showed that the cost of basic stateallocated more values by itself, by considering responding load would be happened the costreduction and the amount of this reduction changes with participation value and increasesamount of lower cost by increasing participation value. Manuscript profile
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  6 - The Optimal Placement of Distributed Generation (DG) to Improve the Voltage Profile and Reduce Losses in Radial Distribution Networks Using PSO
  Ali mohammadigeyklu Morteza aliasghari
  Voltage profile and losses are important factors in a distribution network in which there arevariety of ways to improve them. In this paper, distributed generation (DG) is used as a solutionto improve the above characteristics. Backward/Forward Sweep load flow algorithm More

  Voltage profile and losses are important factors in a distribution network in which there arevariety of ways to improve them. In this paper, distributed generation (DG) is used as a solutionto improve the above characteristics. Backward/Forward Sweep load flow algorithm is used dueto the inefficiency of usual load flow algorithms because of high R/X ratio and their lack ofconvergence in distribution networks. This algorithm is applied to the system and the best placeto install DG is selected by Particle Swarm Optimization (PSO). Manuscript profile
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  7 - Fuel cell control based on the maximum power using neural networks
  Zolekh Teadadi
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