Journal of Artificial Intelligence in Electrical Engineering
Volume:2 Issue: 7, Autumn 2013

The video quality assessment must be adapted to the human visual system, which is why researchers have performed subjective viewing experiments in order to obtain the conditions of encoding of video systems to provide the best quality to the user. The objective of this study is to assess the video quality using image features extraction without using reference video. RMSE values and processing time of SVR for BMP and JPEG formats in quality assessment were 0.78×10-2, 0.81×10-2, 6.0s and 4.8s, respectively. In this study, a metric system for no-reference assessing the video quality is presented using wavelet transform and generalized Gaussian distribution parameters. Results of ITU-BT tests for each video were used to train SVR and its performance for video frames is evaluated.

Email: 2Faculty of Electrical and Computer Engineering, University of Kha, Tehran, IranEmail: Sadati@kntu.ac.ir3Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, IranEmail: a-sadighmanesh@iau-ahar.ac.ir.ABSTRACTIn this paper, to analyze the transport of autonomous robots, an artificial Capital market is used. Capital market is considered as a pier which loading and unloading of cargo is done. Autonomous robots load and unload from the ship to the warehouse wharf or vice versa. All the robots have the ability of transporting the loads, but depending on loads and the location of unloading (or loading) and position of robots, robots have different role in unloading tasks. The role of robots and their number is decided, planned, and managed by the partial swarm optimization (PSO) algorithm. The main goal of the paper is to optimize a multi-object function (MOF) which is a combination of total work time and fuel cost functions. In this paper, a new method of transporting from ships to warehouses and vice versa was developed and presented considering the cost of fuel and the shortest possible time.

We have examined the convergence behavior of the LSCMA in some simple environments. Algorithms such as Multi Target CMA, Multistage CMA, and Iterative Least Squares with Projection can be used for this purpose. The results presented here can form a basis for analysis of these multi-signal extraction techniques. Clearly, the variance and distribution of output SINR obtained with the LSCMA is also an important area for investigation. We finally comment on the hard-limit non linearity. For high SIR, the hard-limiter is the optimal non-linearity when the desired signal has a constant envelope. However, at low SIR other non-linearities can yield greater SIR gain. Thus, it is possible that non-linear functions other than the hard-limit can be used to develop blind adaptive algorithms, which converge faster for low initial SINR.

Systems of computers and their application in the lives of modern human beings are vastly expanding. In any kind of computer application، failure in computer systems can lead to a range of financial and mortal losses. Indeed، the major origin of software failure can be located in designing or implementing software. With regard to these statistics، 30% of the software projects have been prosperous and successful. The proposed method is intended to reduce the cost and time of testing and it focuses on enhancing the efficiency of software testing methods. In this paper، we investigated the effect of slicing techniques on the reduction rate of testing cost and time. The results of experiments show that we can cover a large number of program instructions، branches and paths by a small number of test cases in the sliced program.

The well-known electro-mechanical analogy that equates current, voltage, resistance, inductance and capacitance to force, velocity, damping, spring constant and mass has a shortcoming in that mass can only be used to simulate a capacitor which has one terminal connected to ground. A new model that was previously proposed by the authors that combines a mass with a pulley (MP) is shown to simulate a capacitor in the general case. This new MP model is used to model the off -diagonal elements of a mass matrix so that devices whose effective mass is coupled between more than one actuator can be represented by a mechanical system diagram that is topographically parallel to its equivalent electric circuit model. Specific examples of this technique are presented to demonstrate how a mechanical model can be derived for both a serial and a parallel robot with both two and three degrees of freedom. The technique, however, is extensible to any number of degrees of freedom.

In this paper, using annular resonator we have designed an adding and dropping filter light based on two-dimensional photonic crystals. The shape of ring resonator filter adding and dropping that we have proposed is Race Track. This filter has a hexagonal lattice structure of silicon bars with refractive index 3/46 that is located in the context of air with refractive index 1. Transmission efficiency and quality coefficient of our proposed filter are respectively 94% and 310. Finite difference method in two-dimensional time domain (2-D FDTD) used for normalized transmission spectra of photonic crystal ring resonator and to calculate the photonic band, plane wave expansion method (PWE) has been used.

In this paper, we proposed a novel structure for designing all optical filter based on photonic crystal structure. In designing the proposed filter, we simply employed a point defect localized between input and output waveguides as wavelength selecting part of the filter. The initial form of this filter is capable of selecting optical waves at =1560 nm, the transmission efficiency of the filter is 100%. In designing and studying the optical properties of the filter, we used plane wave expansion and finite difference time domain methods. After designing the filter, we studied the impact of different parameters on the filtering behavior of the structure. The total footprint of the filter is less than 100 100 m2. Simplicity of design and ultra-compact dimensions are the most significant characteristics of our filter.

In this paper, the modified linearized Phillips-Heffron model is utilized to theoretically analyze a single-machine infinite-bus (SMIB) installed with SSSC. Then, the results of this analysis are used for assessing the potential of an SSSC supplementary controller to improve the dynamic stability of a power system. This is carried out by measuring the electromechanical controllability through singular value decomposition (SVD) analysis. This controller is tuned for simultaneously shifting the undamped electromechanical modes to a prespecifed area in the s-plane. The issue of designing a robustly SSSC- based controller is considered and formulated as an optimization problem according to the eigenvalue-based multi-objective function consisting of the damping ratio of the undamped electromechanical modes and the damping factor. Next, considering its high capability to find the most optimistic results, the Gravitational Search Algorithm (GSA) is used to solve this optimization problem. Wide ranges of operating conditions are considered in design process of the proposed damping controller in order to guarantee its robustness. The effectiveness of the proposed controller is demonstrated through eigenvalue analysis, controllability measure, nonlinear time-domain simulation and some performance indices studies. The results show that the tuned GSA based SSSC controller which is designed by using the proposed multi-objective function has an outstanding capability in damping power system low frequency oscillations, also it significantly improves the power systems dynamic stability.