Table of Contents
Fuzzy Multi-Objective PSO, an Approach for Office
Space Allocation
S. H. Zahiri
PP. 61-70
S. Kyanzadeh, M. M. Farsangi, and H.
Nezamabadi-pour
PP. 71-79
M. Aliakbar Golkar and M. Zarringhalami
PP. 80-88
H. Kazemi Karegar, V. Nabaei, and S.
Jalilzadeh
PP. 89-96
M. Kamandar and S. A. Seyedin
PP. 97-104
A Blind Watermarking Scheme for Binary Image
Authentication
S. Saryazdi, H. Nezamabadi-pour, and A.
Hakimi
PP. 105-111
Effects of MEMS Material on Designing a Multi-Band
Reconfigurable Antenna
A. H. M. Zahirul Alam, Md. Rafiqul
Islam, Sheroz Khan, N. Bt. Mohd Sahar, and N. Bt. Zamani
PP. 112-118
Sensorless Speed Control of Brushless DC Motor
with Fuzzy Based Estimation
B. Mahesh Kumar, G. Ravi, and R.
Chakrabarti
PP. 119-125
DC-OPF of Interconnected Power System Using
Fuzzified Evolutionary Algorithms
T. S. Prasanna, M. Devesh Raj, and P.
Somasundaram
PP. 126-132
Fast Training of SVDD by Extracting Boundary
Targets
J. Liang, S. Liu, and D. Wu
PP. 133-137
Limitation and Diameter Effects on Carrier Drift
Velocity in Carbon Nanotubes
M. Taghi Ahmadi, R. Ismail, and V. K.
Arora
PP. 138-142
N. Noori, R. Karimzadeh Baee, and A.
Abolghasemi
PP. 143-147
Abstracts:
Fuzzy Multi-Objective PSO, an Approach for Office Space Allocation
S. H. Zahiri*
*
Department of Elec. Eng., Faculty of Eng., Birjand University, Birjand, I. R. Iran
Abstract: An adaptive fuzzy system is designed and integrated with a proposed integer-valued multi-objective particle swarm optimizer (MOPSO) to develop a more powerful technique named Fuzzy-MOPSO. The designed fuzzy controller adapts the values of important structural parameters of integer-valued MOPSO which are swarm size, neighborhood size, and constriction coefficient. Three main goals have been considered for designing the proposed method. Those are: a) good generalization, b) maximizing the number of non-dominated solutions, and c) maximizing the spread of non-dominated solutions. Two performance metrics -named aggregation factor and minimal spacing- are introduced and utilized to reach above goals. The proposed method is tested on two well-known benchmarks. Besides, it is investigated as an effective approach for space allocation which is real-world combinatorial optimization problem. Experimental results show that Fuzzy-MOPSO can be successfully developed for well-known benchmarks and space allocation problems, producing solutions of acceptable quality in comparison to similar approaches.
Damping of Low-Frequency Oscillations by Designing the Supplementary Controller of AVR and SVC Using Immune Algorithm
S. Kyanzadeh*, M. M. Farsangi*, and H. Nezamabadi-pour*
*
Electrical Department, Shahid Bahonar University of Kerman, Kerman, Iran
Abstract:This paper investigates the ability of Immune Algorithm (IA) in designing the supplementary controller of Automatic Voltage Regulator (AVR) and Static Var Compensators (SVC) to damp the power system low-frequency oscillations. For this, the conventional lead-lag structure is used for the supplementary controllers and the parameters of two controllers are determined by IA. The numerical results are presented on a 2-area 4-machine system to illustrate the feasibility of the proposed method. To show the effectiveness of the designed controllers, a three phase fault is applied at a bus. The simulation study shows that the designed controllers improve the stability of the system. Also, to validate the results obtained by IA, a simple Genetic Algorithm (GA) is applied for comparison.
Coordinated Design of PSS and STATCOM Parameters for Power System Stability Improvement Using Genetic Algorithm
M. Aliakbar Golkar* and M. Zarringhalami*
*
Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Abstract: In this paper the Parameters of the classic PSS and STATCOM internal AC and DC voltage controllers and AC-damping stabilizer are designed in order to damp the Low Frequency Oscillations (LFO). The STATCOM is used for adjusting the voltage in line and the dynamic effect of STATCOM is considered. The design of PSS and STATCOM parameters is considered as an optimization problem and GA is used for searching optimized parameters. The introduced objective function in this paper is based on the system modes of oscillation considering all modes in the objective function. The participation factors method is used for identifying the type of each mode. The study is performed on the linearized power system model with presence of STATCOM and PSS. The analysis of the eigenvalue method is used for optimal parameter adjustment. These studies are performed for five operating points. The design is performed using nonlinear simulation. The results show that the design according to simultaneous optimization is an effective procedure for power system stability improvement.
Multi-Objective Reconfiguration of Restructured Distribution Network Considering Energy Supply Cost and Power Losses Using Micro Genetic Algorithm
H. Kazemi Karegar*, V. Nabaei**, and S. Jalilzadeh***
*
Electrical and Computer Department of Shahid Beheshti University (SBU), Tehran, Iran** Electrical Engineering Department of Hidaj Azad University, Hidaj, Iran
*** Electrical Engineering Department of Zanjan University, Zanjan, Iran
Abstract:In this paper, the problem of finding the optimal configuration of a restructured distribution network is considered. The new features of this paper are proposing a multi-objective function and its application on restructured distribution networks for finding the optimal configuration. The multi-objective function will be defined for minimizing total Energy Supply Costs (ESC) and Power Losses (PL) subject to load flow constraints. The optimal configuration will be obtained by using Micro Genetic Algorithm (Micro-GA) as one of the Evolutionary Multi-objective Optimization (EMO) techniques. The proposed method has been tested to analyze a sample and a practical distribution networks.
Directional Procrustes Snake
M. Kamandar* and S. A. Seyedin**
*
Electrical Engineering Department of Tarbiat Modres University, Tehran, Iran**
Electrical Engineering Department of Ferdowsi University of Mashhad, Iran
Abstract: A novel method of parametric active contours with geometric shape prior is presented in this paper. The main idea of the method consists in minimizing an energy function that includes additional information on a shape reference called a prototype (mean shape). Shape prior introduced through a similarity measurement between evolving contour and Procrustes mean shape of desired object. This similarity measurement is Procrustes distance between these two contours that is invariant with respect to similarity transformations (translation, scaling, and rotation). Procrustes mean shape is extracted from a set of sample shapes. We apply k-mean clustering to sample shapes for overcoming non Gaussian distribution of them e.g., multiple views of a 3D object. In this case the final energy function is invariant with respect to changing viewpoint of 3D object. This extra shape knowledge enhances the model robustness to noise, occlusion and complex background. We also use gradient direction information in addition to its magnitude for more robustness to complex background and noise. We obtain promising results for 3D object tracking and segmentation showing the robustness of our method against noise, complex background, similarity transformations, occlusion, and changing viewpoint of 3D object.
A Blind Watermarking Scheme for Binary Image Authentication
S. Saryazdi*, H. Nezamabadi-pour*, and A. Hakimi*
*
Department of Electrical University, Shahid Bahonar University of Kerman, Kerman, Iran
Abstract: A blind fragile watermarking scheme for binary image authentication is proposed. In authentication watermarking a hidden data is inserted into an image in order to detect any alterations. In the proposed method, the host binary image is first divided into non-overlapping sub-blocks. Then, for the last position in each of the blocks, the probability of bit occurrence, conditional to different patterns of its 4-neighborhood, is calculated. The last pixel is predicted using the value of its neighbors. Bit embedding is done by modifying the predicted value instead of the real value. The proposed method is simple, fast, blind, and capable of detecting modifications. Several experiments using text binary images are presented which confirm the effectiveness of the algorithm.
Effects of MEMS Material on Designing a Multi-Band Reconfigurable Antenna
A. H. M. Zahirul Alam*, Md. Rafiqul Islam*, Sheroz Khan*, N. Bt. Mohd Sahar*, and N. Bt. Zamani*
*
International Islamic University Malaysia, Kuala Lumpur, Malaysia
Abstract: In this work, two adjacent patches and MEMS switches are proposed a reconfigurable antenna that is capable of operating at several frequencies. Optimization of wing patches is done to obtain more than three resonant frequencies of the antenna by selecting the MEMS cantilever bridge materials. The study shows that the material of MEMS switches has influenced the performance of the antenna. SiN as MEMS bridge material makes the antenna to operate at 16.76 GHz, 23.56 GHz and 27.7 GHz at “OFF” states and at 23.5 GHz at “ON” states of the MEMS switches. A comparative study has done for Alumina, SiN, GaAs and Teflon as MEMS bridge materials. Further re-configurability can be obtained by varying the MEMS switch position. The design is performed by using 3D electromagnetic simulator HFSS considering ideal MEMS switches.
Sensorless Speed Control of Brushless DC Motor with Fuzzy Based Estimation
B. Mahesh Kumar*, G. Ravi**, and R. Chakrabarti***
* Pondicherry Engineering College, Pondicherry, India
** G. Ravi. is with the Pondicherry Engineering College, Pondicherry, India
*** Jadavpur University, Kolkata, India
Abstract:This paper describes a simple way to control the Brush Less DC Motor (BLDCM) for electrical applications. To control this machine it is generally required to measure the speed and position of rotor by using the sensor because the inverter phases, acting at any time, must be commutated depending on the rotor position. The position sensors make the motor system more complicated and mechanically unreliable. A method for the estimation of the speed and rotor position of a BLDCM is presented in this work. Fuzzy based Back EMF observer is employed to estimate the speed by using measurements of the stator line voltage and line current. Most existing sensorless methods of the BLDC motor have low performance at transients or low speed range and occasionally require an additional circuit. To overcome this problem, the estimation of a back-EMF is carried out by fuzzy logic techniques to improve the performance of the system. This method proposes back-EMF observer based on fuzzy function approximation and the system state equation of the BLDC motor. The fuzzy logic technique is used to estimate the speed of the BLDC motor under variable and fixed condition of the back-EMF. Finally, the speed is controlled by using Proportional-Integral (PI) Controller with the help of fuzzy based estimation of the speed and rotor position. Here, fuzzy based estimation of speed and rotor position which is also verified with the sensor, feeds input to the PI controller which does really well for good performance.
T. S. Prasanna*, M. Devesh Raj*, and P. Somasundaram*
*
Department of Electrical and Electronics Engineering, Power System Division, College of Engineering (Guindy), Anna University, Chennai, Tamilnadu, India
Abstract:In this paper, two new computationally efficient improved stochastic algorithms for solving multi-area DC Optimal Power Flow (DC-OPF) in interconnected power systems have been presented. These algorithms are based on the combined application of Fuzzy Logic strategy incorporated in both Evolutionary Programming (EP) and Tabu Search (TS) algorithms, hence termed as Fuzzy Mutated Evolutionary Programming (FMEP) and Fuzzy Guided Tabu Search (FGTS). Multi-area DC-OPF calculations determine optimum generation schedule, optimal control variables and system quantities of each area with due consideration of generation and transmission system limitations for efficient power system operation. The popularity of EP and TS algorithms are due to their significant property of dealing with the optimization problems without any restrictions on the structure or type of the function to be optimized and due to the ease of computation. The proposed methods are tested on single area, two area and four area IEEE 30-bus interconnected systems. The optimal solutions obtained using SLP (Successive Linear Programming), EP, TS, FMEP and FGTS are compared and analyzed. The analysis reveals that the proposed algorithms are relatively simple, efficient, reliable and suitable for real-time applications. And these algorithms can provide accurate solution with fast convergence and have the potential to be applied to other power engineering problems.
Fast Training of SVDD by Extracting Boundary Targets
J. Liang*, S. Liu*, and D. Wu**
*
Department of Mathematical Sciences, Xidian University, Shaanxi Xi’an, China**
School of Computer Science and Technology, Xidian University, Shaanxi Xi’an, China
Abstract:Training support vector domain description (SVDD) involves solving a constrained convex quadratic programming, which requires large memory and enormous amounts of training time for large-scale data, an extraction strategy is proposed to extract boundary targets, based on the observation that the description boundary is determined by a small subset of training data called support vectors. Namely, the number of samples that scatter around each training target is calculated and taken as the measure of nearness to boundary targets, according to which the training samples are ranked in ascending order. Those former ranked samples are extracted as the boundary targets and are used for SVDD training. We compare the effectiveness of the proposed SVDD using extraction strategy with SVDD in terms of training accuracy, training scale and training time on artificial and benchmark data. Numerical experiments show that: the training scales and the training times are reduced without any loss of accuracy, which therefore can be used for large-scale data.
Limitation and Diameter Effects on Carrier Drift Velocity in Carbon Nanotubes
M. Taghi Ahmadi*, R. Ismail*, and V. K. Arora**
*
Electrical Engineering, Department, University Technology Malaysia, Malaysia**
Electrical Engineering Department, University wilkes, USA
Abstract:Due to the chemical stability and perfection of Carbon Nanotubes (CNTs) structure, carrier mobility is not affected by processing and roughness scattering as it is in the conventional semiconductor channel. Therefore, CNTs are being considered as viable candidates for high-speed applications. The mobility and saturation velocity are the two important parameters that control the charge transport in a conducting MOSFET channel. It is shown that the high mobility does not always lead to higher carrier velocity. Owing to the high electric-field streaming, the ultimate drift velocity in semiconducting CNTs are based on the asymmetrical distribution function that converts randomness in zero-field to streamlined one in a very high electric field. The limitation drift velocity is found to be appropriate thermal velocity for non- degenerate regime, increasing with the temperature, but independent of carrier concentration. In this condition, velocity rises with increasing the diameter. However, the limitation drift velocity is the Fermi velocity for degenerate regime which increasing with carrier concentration but independent of the temperature. Moreover, in degenerate regime, degeneracy occurs at lower values of the carrier concentration with increasing the CNTs diameter.
Measurement and Characterization of Ultra Wideband Radiowave Propagation in Indoor Laboratory Environments
N. Noori*, R. Karimzadeh Baee*, and A. Abolghasemi*
*
Iran Telecommunication Research Center, Tehran, Iran
Abstract:In this paper, the results of some ultra wideband (UWB) time-domain propagation measurements performed in modern laboratory (Lab) environments are presented. These measurements have been down for both line of sight (LOS) and non-LOS (NLOS) scenarios. The measurement results are used to investigate large-scale channel characteristics, temporal dispersion parameters and coherence bandwidth of the channel. An appropriate model is presented for UWB signal transmission in the Lab environment based on the obtained results.
IRIEE-ACECR