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28,451 Article Results

Design of Dual Band Sleeve Dipole Antenna for Mobile Jammer Applications

10.11591/ijeecs.v16.i1.pp106-110
Tariq Rahim , Jiaodong Xu
A multi band sleeve dipole antenna for jammer application is proposed. The antenna can cover band in which mobile and other wireless devices operate. The design antenna shows very good omni-directional characteristics and scattering parameter S11 value less than -10db. The dipole is made of two concentric hallow cylinder with different radius and different lengths. The antenna is fed at the center with coaxial cable pass through the bottom cylinder and thus avoids the use of complicated balun network. The impedance bandwidth and the radiation pattern are measured and analyzed both at 900 MHz and 1.8 GHz. The antenna can also be used GSM/DCS/WCDMA/CDMA2000/ TD-SCDMA /WLAN applications at both indoor and outdoor platform.
Volume: 16
Issue: 1
Page: 106-110
Publish at: 2015-10-01

New Methods for Reducing the Problems of Photovoltaic Systems

10.11591/ijeecs.v16.i1.pp13-18
Sobhan Dorahaki
Increasing of demand in the energy sphere and also unprecedented proliferation of environmental pollutants in the air has pushed human toward the using of renewable energy sources such as photovoltaic systems. Unfortunately, despite all the efforts made, in the field of photovoltaic systems, still the usability of this clean and renewable source is skeptical in the world. This paper examines some basic problems of photovoltaic systems and discusses a few new approaches to reduce some problems of photovoltaic systems. The proposed approaches have capabilities and difficulties which are investigated in this study.
Volume: 16
Issue: 1
Page: 13-18
Publish at: 2015-10-01

JADE Multi-agent Middleware Applied to Contribute to Certificate Management of Students

10.11591/ijeecs.v16.i1.pp176-181
Fatiha Aityacine , Badr Hssina , Belaid Bouikhalene
In this article, we present a multi-agent approach that aims to design, modeling and implementation of an application "smart school". Indeed Several institutions adopt the computerized management of education to meet the needs of students using multi-agent systems. They have the ability to act simultaneously in a shared environment. The purpose of this approach is to automate some administrative services of education, based on the theory of distributed artificial intelligence (DAI) and multi-agent systems (MAS). This multi-agent application integrates entities called agents that cooperate and communicate them to perform specific tasks. Our system is based on the middleware JADE (Java Agent DEvelopment Framework) used for the implementation and agents management. This model based on multi-agent systems is tested on the personal data of an experiment conducted with the students of Sultan Moulay Slimane University in Beni Mellal.
Volume: 16
Issue: 1
Page: 176-181
Publish at: 2015-10-01

Identification of Lung Cancer Using a Back Propagation Neural Network

10.11591/ijeecs.v16.i1.pp91-97
Bambang Guruh Irianto , Mohamad Ridha Mak'ruf , Dyah Titisari
Reading image of lung cancer screening well-known as X-ray by practitioners are sometimes subjective. This research tried to create software that can detect lung cancer as a comparison of the work of medical practitioners using artificial neural networks (ANN), with X-ray movies taken from the tool diagnostic radiography (DR) stored in the compact disc. The dependent variable observation in this study is the identification of DR X-ray image size of 1024 x 1024 pixels. A total of 10 images X-ray which has been observed by the physician radiology. With 5 images X-ray normal and 5 images lung cancer. In this study, the image processing is done through three stages: neighborhood averaging, median filter and histogram equalization. The result of these features are grouped in normal categories. From test results stating the truth 80%. To facilitate the user in the lung disease pattern recognition. GUI applications design using MATLAB. We use some form of image processing which includes form training andtesting. The best parameters obtained from this research include learning rate=0.3, the number of hidden layer=30 and tolerance error=10-8. From the results obtained by the level of accuracy of the training image of normal lung, lung cancer in a row is 80%. Overall the level of accuracy of the results is 80%.
Volume: 16
Issue: 1
Page: 91-97
Publish at: 2015-10-01

Modeling and Analysis of Inductive Coil ELF Sensor

10.11591/ijeecs.v16.i1.pp38-45
Rajendra Aparnathi , Vedvyas Dwivedi
Mathematical statistical analysis of inductive loop coil-sensor is carried out for its magnetic field effects operating on extremely low frequency (
Volume: 16
Issue: 1
Page: 38-45
Publish at: 2015-10-01

OFDM PAPR Reduction Using Recurring SLM with Cyclic and Linear Block Codes Schemes

10.11591/ijeecs.v16.i1.pp1-6
Pratima Manhas , M.K Soni
Orthogonal Frequency division multiplexing is a type of multicarrier modulation technique which is used in various wireless & telecommunication standards. In OFDM, higher data rate is split into several narrowband data stream that is transmitted simultaneously over a number of subcarriers.  One major disadvantage of using OFDM is high Peak to Average power ratio. This paper presents the simulation result which compares the PAPR using SLM with Cyclic & Linear block codes. The simulation study verifies that the PAPR reduction by proposed method is better than the existing technique (SLM).
Volume: 16
Issue: 1
Page: 1-6
Publish at: 2015-10-01

Fire Detection Using Multi Criteria Image Processing Technique in Video Sequences

10.11591/ijeecs.v16.i1.pp136-144
Behrouz Memarzadeh , Mohammad Ali Mohammadi
Vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. This paper proposes a multi criterion method to detect fire or flames by processing the video data generated by a high speed camera. Since flame images are special class of images, some of the unique features of a flame may be used to identify flame. There are some differences between flame images and other general images. By using these features we are able to detect fire correctly with least false alarm. In this paper we present an algorithm which can detect fire and reduce number of false alarms by counting number of identified pixels. In the algorithm, we preprocess the images to have better results. So first we adjust the gray level of a flame image according to its statistical distribution to have better processing. After that we try to extract fire features in images. First by using color characteristics, the ratio of red to green, we can identify probable fire-like or fire like pixels. Second, to highlight the regions with high gray level contrast at their edges, we use the extended prewitt filter. We use AND operation on two above processing images to remove unrelated pixels, at last by using flicker frequency, the oscillating change in the number of identified pixels over time is transformed into the frequency domain to complete detection algorithm. Simulation proves the algorithm ability to detect fire in different situations in video sequences.
Volume: 16
Issue: 1
Page: 136-144
Publish at: 2015-10-01

Quality Enhancement of AC Chopper Using Genetic Algorithm

10.11591/ijeecs.v16.i1.pp30-37
S. Mahendran , Gnanambal I , Maheswari A
This paper mainly deals with the design of AC chopper using Genetic Algorithm based harmonic elimination technique. Genetic Algorithm is used to calculate optimum switching angles to eliminate lower order harmonics in the output voltage. Total Harmonic Distortion of output voltage is calculated from the obtained switching angles and also adopted in the proposed fitness function. Comparative analysis is made for the switching angles obtained by the Newton Raphson method and the proposed Genetic Algorithm. The analysis reveals that the proposed technique is on par with conventional method. Additionally, the Genetic Algorithm approach offers less computational burden, guaranteed global optima in most cases and faster convergence. The proposed method is simulated in Matlab/Simulink model and the results shows that the proposed method works with high effectiveness, accuracy and rapidity.
Volume: 16
Issue: 1
Page: 30-37
Publish at: 2015-10-01

Optimal Placement of Sensors in Mission-specific Mobile Sensor Networks

10.11591/ijeecs.v16.i1.pp191-198
Hicham Ouchitachen , Abdellatif Hair , Najlae Idrissi
Placement of nodes has been the major challenge in wireless sensor networks. The data reported from a sensor is only useful when the position of that sensor is found. In this context, several techniques have been proposed to conserve power consumption and to prolong the lifetime of the wireless sensor networks. In this paper, we propose a new algorithm that accurately finds the best locations of sensors while minimizing the average energy consumed in the network. More precisely, we consider a critical network in each sensor satisfying its own missions and depending on its locations. In addition to fulfill their mission, the sensor tries to maintain a good neighboring nodes quality. we determine the location of node by using two criteria: the cost and the quality of communication. The aim of this work is to develop a new algorithm so as to solve the complicated optimization problem posed in this case while minimize the total energy consumption. Our simulation results demonstrate that our algorithm is very advantageous in terms of convergence to the appropriate locations.
Volume: 16
Issue: 1
Page: 191-198
Publish at: 2015-10-01

Competitive intelligence: Leaven of a New Managerial Device for Decision Support

10.11591/ijeecs.v16.i1.pp167-175
Salima El Fadili , Firdaous Gmira
In a highly competitive environment saturated in information traversing the earth in nanosecond, the major challenge for companies is to have the right information at the right time, to exploit it and transform it into useful organizational knowledge for strategy formulation and decision-making. Nowadays, several management practices have been developed and designed to cope with the complexity that exists in the business environment and to maintain a sustained competitive advantage. Competitive intelligence is one of these innovative strategic management practices that play an increasingly important role in decision-making. This article attempts to present an overview of its fundamental concepts, functions and process and to explain how information is utilized in supporting decision-making process. The findings of this research suggest that decision makers should focus on developing competitive intelligence process in their organizations. This paper falls under a research task that was not confronted yet with the test of the terrain survey.
Volume: 16
Issue: 1
Page: 167-175
Publish at: 2015-10-01

Power Generation and Voltage Regulation of 132KV Karbala Grid using DFIG Wind Turbine Generator

10.11591/ijeecs.v16.i1.pp19-29
Qasim Kamil Mohsin , Xiangning Lin , Owolabi Sunday , Asad Waqar
Due to increasing demand on electrical energy in Iraq and to have clean energy that is environmental friendly, wind energy would be one of the most important and promising sources of renewable energy to achieve this goal. This paper discussed the reasons to use the Doubly-Feed Induction Generator (DFIG) amongst the available types of wind turbine generators, and in section (4) illustrate Motivations to select place to the wind farm construction. using decupling method (the vector control strategy) to change reactive power of DFIG 2MW connected to middle of the 132KV transmission line (Karbala north – Alahkader) without effect about the active power generated from DFIG itself with fixed wind speed value assumed to provide the voltage regulation, and control of the transmission line In addition to power generating. By using PSCAD/EMTDC, different simulation results are presented based on various scenarios.
Volume: 16
Issue: 1
Page: 19-29
Publish at: 2015-10-01

A Review on Development and Operational Strategy of Fault Current Limiters

10.11591/ijeecs.v16.i1.pp145-153
S.P. Janani Priyadharshna , T. Venkatesan
Distributed Generation (DG) plays a major role in existing power system. When such distributed generation system is interconnected with micro-grid improves voltage profile, power quality but at the same time results in fault conditions. Among various faults occurring in the power system, short circuit faults are the most predominant case. This results in the increase in flow of the fault current in the line. Also the equipments installed in such a line get damaged internally due to flow of excess fault current. Therefore in order to improve the transient conditions and limit the fault current to a manageable level, a device called Fault Current Limiters (FCLs) are being used in recent trend. This paper reviews about various fault current limiters, their development, characteristics and operating performance in the system. It gives a detailed knowledge about various operations performed by fault current limiters that is compared with other conventional techniques.
Volume: 16
Issue: 1
Page: 145-153
Publish at: 2015-10-01

Compared with PI, Fuzzy-PI and PSO-PI Controllers of Robotic Grinding Force Servo System

10.11591/ijeecs.v16.i1.pp65-74
Adnan Jabbar Attiya , Yang Wenyu , Salam Waley Shneen
By grinding process, when an industrial robot is used to finish a curved surface, both feed movement and contact force must controlled at the similar time in order that the grinding tool would machine the work-piece at  the  right  position  in  right  posture with  required  force. A passive wrist system is advanced, in this paper, to conform the shape of the machining propeller by altering its posture along with the surface. The proportional-integral (PI) controller, due to its simplicity, robustness, and affordable price, is extremely often used in practical applications, but it is effective for linear systems, as well as, the challenging task is to find its optimal gains. If the processes involved higher order and time delay systems, many intelligent controllers were appeared. In this paper, to cope with nonlinearities, improve the controller parameters and at the same time modeling uncertainties of grinding marine propeller surface, a PI torque controller is proposed such that its optimal gains are derived via a modern systems based on fuzzy logic theory and particle swarm optimization algorithm which are used to solve various engineering problems. Grinding force is controlled under Fuzzy-PI controller which is being assembled and compared with a PSO-PI controller to obtain which controller that provides grinding with higher quality. The compared controllers have been optimized together with the parameters of the Two-Phase Hybrid Stepping Motor. The suggested fuzzy rule function and PSO algorithm improve the response of the controlled system and searches a high-quality solution impressively. Simulation and comparison results are presented and that the proposed control systems are coping well with nonlinearities and uncertainties while find PI control parameter set effectively, the PSO-PI controller has a better control performance with improved step response for robotic grinding force servo system. These control methods was simulated using MATLAB/SIMULINK.
Volume: 16
Issue: 1
Page: 65-74
Publish at: 2015-10-01

Comparative Study of Wavelet Image Compression: JPEG2000 Standart

10.11591/ijeecs.v16.i1.pp83-90
Ansam Ennaciri , Mohammed Erritali , Mustapha Mabrouki , Jamaa Bengourram
The objective of this paper is to study the main characteristics of wavelets that affect the image compression by using the discrete wavelet transform and lead to an image data compression while preserving the essential quality of the original image. This implies a good compromise between the image compression ratio and the PSNR (Peak Signal Noise Ration).
Volume: 16
Issue: 1
Page: 83-90
Publish at: 2015-10-01

A 45 nm 6 Bit Low Power Current Steering Digital to Analog Converter Using GDI Logic

10.11591/ijeecs.v16.i1.pp46-51
Bharat H. Nagpara
In this paper, The Design and Implementation low power Current Steering Digital to Analog Converter in 45 nm technology using GDI Logic using TANNER TOOL, V15 is presented. This architecture gives the most optimized results in terms of speed, resolution and power. The designed 6-bit DAC operates with two supply voltages, 1 V and 3.3 V. The simulation result shows the transient analysis waveforms of current Steering DAC. The average power dissipation is 364.06 μW. The tool used for simulation is Tanner S-Edit and T-Spice. Comparisons show that using GDI logic, it consists low power as compare to the CMOS logic.
Volume: 16
Issue: 1
Page: 46-51
Publish at: 2015-10-01
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