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29,325 Article Results

dSPACE Implementation for a Fuzzy Logic Voltage Control using a Self-Excited Induction Generator and a Voltage Source Inverter

10.11591/ijece.v7i4.pp1749-1759
Rachid El Akhrif , Ahmed Abbou , Mohamed Barara , Mohamed Akherraz , Youssef Majdoub
The present work describes the analysis  of a control scheme for keeping  the  RMS voltage output  constant, the system is  supplying  by a self-excited induction generator with variable speed and load. A comparison is examined between simulation and experimental results using dSPACE board. the results are provided to verify the effectiveness of this approach and gives very high performance.
Volume: 7
Issue: 4
Page: 1749-1759
Publish at: 2017-08-01

FPGA-based Design System for a Two-Segment Fibonacci LFSR Random Number Generator

10.11591/ijece.v7i4.pp1882-1891
Zulfikar Zulfikar , Yuwaldi Away , Rafiqa Shahnaz Noor
For a long time, random numbers have been used in many fields of application. Much work has been conducted to generate truly random numbers and is still in progress. A popular method for generating random numbers is a linear-feedback shift register (LFSR). Even though a lot of work has been done using this method to search for truly random numbers, it is an area that continues to attract interest. Therefore, this paper proposes a circuit for generating random numbers. The proposed circuit is designed to produce different sequences of numbers. Two segments of Fibonacci LFSR are used to form a generator that can produce more varied random numbers. The proposed design consists of blocks: segment 1, segment 2, and a clock controller. The system produces random numbers based on an external clock. The clock signal for the first segment is that of the external clock, whereas that for the second segment is modified by the clock controller. The second stage (segment 2) is executed only after every 2n1−1 clock cycles. The proposed design can generate different sequences of random numbers compare to those of the conventional methods. The period of the proposed system is less than that of the original Fibonacci LFSR. However, the period is almost equal to the original one when the system is realized in 32-bit or 64-bit form. Finally, the proposed design is implemented on a field-programmable gate array (FPGA). It occupies more area and runs at a lower frequency compared with the original Fibonacci LFSR. However, the proposed design is more efficient than the segmented leap-ahead method concerning space occupancy.
Volume: 7
Issue: 4
Page: 1882-1891
Publish at: 2017-08-01

Formal Specification of QoS Negotiation in ODP System

10.11591/ijece.v7i4.pp2045-2053
Abdessamad Jarrar , Youssef Balouki , Taoufiq Gadi
The future of Open Distributed Processing systems (ODP) will see an increasing of components number, these components are sharing resources. In general, these resources are offering some kind of services. Due to the huge number of components, it is very difficult to offer the optimum Quality of service (QoS). This encourages us to develop a model for QoS negotiation process to optimize the QoS in an ODP system. In such system, there is a High risk of software or hardware failure. To ensure good performance of a system based on our model, we develop it using a formal method. In our case, we will use Event-B to get in the end of our development a system correct by construction.
Volume: 7
Issue: 4
Page: 2045-2053
Publish at: 2017-08-01

Techno-economic Evaluation of Stand-alone Hybrid Renewable Energy System for Remote Village Using HOMER-pro Software

10.11591/ijape.v6.i2.pp73-88
Ajoya Kumar Pradhan , Mahendra Kumar Mohanty , Sanjeeb Kumar Kar
The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar Photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the Unit Cost Of Energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (hybrid optimization model of electric renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.
Volume: 6
Issue: 2
Page: 73-88
Publish at: 2017-08-01

The Analysis of Performace Model Tiered Artificial Neural Network for Assessment of Coronary Heart Disease

10.11591/ijece.v7i4.pp2183-2191
Wiharto Wiharto , Harianto Herianto , Hari Kusnanto
The assessment model of coronary heart disease is so much developed in line with the development of information technology, particularly the field of artificial intelligence. Unfortunately, the assessment models developed mostly do not use such an approach made by the clinician, the tiered approach. This study aims to analyze the performance of a tiered model assessment. The method used for each level is, preprocessing, building architecture artificial neural network (ANN), conduct training using the Levenberg-Marquardt algorithm and one step secant, as well as testing the system. The study is divided into the terms of the stages in the examination procedure. The test results showed the influence of each level, both when the output level of the previous positive or negative, were tested back at the next level. The performance evaluation may indicate that the top level provides performance improvement and or reinforce the previous level. 
Volume: 7
Issue: 4
Page: 2183-2191
Publish at: 2017-08-01

Improving Performance of Mobile Ad Hoc Network Using Clustering Schemes

10.11591/ijict.v6i2.pp69-75
Mohamed Er-Rouidi , Houda Moudni , Hassan Faouzi , Hicham Mouncif , Abdelkrim Merbouha
Mobile ad hoc network become nowadays more and more used in different domains, due to its flexibility and low cost of deployment. However, this kind of network still suffering from several problems as the lack of resources. Many solutions are proposed to face these problems, among these solutions there is the clustering approach. This approach tries to partition the network into a virtual group. It is considered as a primordial solution that aims to enhance the performance of the total network, and makes it possible to guarantee basic levels of system performance. In this paper, we study some schemes of clustering such as Dominating-Set-based clustering, Energy-efficient clustering, Low-maintenance clustering, Load-balancing clustering, and Combined-metrics based clustering.
Volume: 6
Issue: 2
Page: 69-75
Publish at: 2017-08-01

A Survey on Comparisons of Cryptographic Algorithms Using Certain Parameters in WSN

10.11591/ijece.v7i4.pp2232-2240
Pooja Singh , R.K. Chauhan
The Wireless Sensor Networks (WSNs) have spread its roots in almost every application. Owing to their scattered nature of sensor nodes, they are more prone to attacks. There are certain applications e.g. military, where sensor data’s confidentiality requirement during transmission is essential. Cryptography has a vital role for achieving security in WSNs.WSN has resource constraints like memory size, processing speed and energy consumption which bounds the applicability of existing cryptographic algorithms for WSN. Any good security algorithms has higher energy consumption by the nodes, so it’s a need to choose most energy-efficient cryptographic encryption algorithms for WSNs. This paper surveys different asymmetric algorithms such as RSA, Diffie-Hellman, DSA, ECC, hybrid and DNA cryptography. These algorithms are compared based on their key size, strength, weakness, attacks and possible countermeasures in the form of table.
Volume: 7
Issue: 4
Page: 2232-2240
Publish at: 2017-08-01

System Diagnosis of Coronary Heart Disease using A Combination of Dimensional Reduction and Data Mining Techniques: A Review

10.11591/ijeecs.v7.i2.pp514-523
Wiharto Wiharto , Hari Kusnanto , Herianto Herianto
Coronary heart disease is a disease with the highest mortality rates in the world. This makes the development of the diagnostic system as a very interesting topic in the field of biomedical informatics, aiming to detect whether a heart is normal or not. In the literature there are diagnostic system models by combining dimension reduction and data mining techniques. Unfortunately, there are no review papers that discuss and analyze the themes to date. This study reviews articles within the period 2009-2016, with a focus on dimension reduction methods and data mining techniques, validated using a dataset of UCI repository. Methods of dimension reduction use feature selection and feature extraction techniques, while data mining techniques include classification, prediction, clustering, and association rules.
Volume: 7
Issue: 2
Page: 514-523
Publish at: 2017-08-01

Asymptotic Stabilization of Delayed Systems with Input and Output Saturations

10.11591/ijape.v6.i2.pp63-72
Adel Mahjoub , Nabil Derbel
We consider in this paper the problem of controlling an arbitrary linear delayed system with saturating input and output. We study the stability of such a system in closed-loop with a given saturating regulator. Using inputoutput stability tools, we formulated sufficient conditions ensuring global asymptotic stability.
Volume: 6
Issue: 2
Page: 63-72
Publish at: 2017-08-01

Optimal Sizing and Economical Analysis of PV-Wind Hybrid Power System for Water Irrigation using Genetic Algorithm

10.11591/ijece.v7i4.pp1797-1814
Ninet Mohamed Ahmed , Hanaa Mohamed Farghally , Faten Hosney Fahmy
In the present study three renewable power systems are proposed to select the most optimum one for powering an irrigation pumping system and a farmer’s house in two different locations in Sinai, Egypt. Abu-Rudies in south Sinai and El-Arish in north Sinai are the two selected locations. The three suggested power systems are; standalone photovoltaic (PV) system, standalone wind system and standalone PV-wind hybrid system. HOGA (Hybrid Optimization by Genetic Algorithms) simulation software tool based on genetic algorithm (GA) is used for sizing, optimization and economical evaluation of three suggested renewable power systems. Optimization of the powersystem is based on the components sizing and the operational strategy.  The calculated maximum amount of water required for irrigating ten acres of olive per day is 170 m3. In terms of cost effectiveness, the optimal configurations are the hybrid PV-wind system and the standalone PV system for Abu-Rudies and El-Arish locations respectively. These systems are the most suitable than the others for the selected sites metrological data and the suggested electrical load
Volume: 7
Issue: 4
Page: 1797-1814
Publish at: 2017-08-01

Single Channel Speech Enhancement using Wiener Filter and Compressive Sensing

10.11591/ijece.v7i4.pp1941-1951
Amart Sulong , Teddy Surya Gunawan , Othman O Khalifa , Mira Kartiwi , Hassan Dao
The speech enhancement algorithms are utilized to overcome multiple limitation factors in recent applications such as mobile phone and communication channel. The challenges focus on corrupted speech solution between noise reduction and signal distortion. We used a modified Wiener filter and compressive sensing (CS) to investigate and evaluate the improvement of speech quality. This new method adapted noise estimation and Wiener filter gain function in which to increase weight amplitude spectrum and improve mitigation of interested signals. The CS is then applied using the gradient projection for sparse reconstruction (GPSR) technique as a study system to empirically investigate the interactive effects of the corrupted noise and obtain better perceptual improvement aspects to listener fatigue with noiseless reduction conditions. The proposed algorithm shows an enhancement in testing performance evaluation of objective assessment tests outperform compared to other conventional algorithms at various noise type conditions of 0, 5, 10, 15 dB SNRs. Therefore, the proposed algorithm significantly achieved the speech quality improvement and efficiently obtained higher performance resulting in better noise reduction compare to other conventional algorithms. 
Volume: 7
Issue: 4
Page: 1941-1951
Publish at: 2017-08-01

Packaging Technique for Gain Improvement of Multi-resonance CPW-fed Antenna for Satellite Applications

10.11591/ijece.v7i4.pp2094-2100
Jalal Naghar , Azzeddin Naghar , Otman Aghzout , Ana Vazquez Alejos , Francisco Falcone
A suitable technique for gain improvement of multi-resonance CPW-fed antenna for satellite application at Ku-, K- and Ka-bands for user terminals is presented in this paper. New concept of stacking numerous layers with different dielectric material has been also presented. The conventional antenna design consists of a CPW-fed patch antenna with modified CPW elements printed on Rogers TMM4 substrate. In order to improve the antenna performance in term of gain and bandwidth, we propose two different configurations. The first one consists of designing a stacked structure by adding on the top of the single antenna an additional layer with parasitic elements. The dielectric added consists in Rogers RO3010 substrate with a high permittivity of 10.2. The proposed antenna is formed by two layers separated by an air gap; this new configuration provides major reduction on antenna beam width and allows gain enhancement. The second one implement the design of 2×1 and 4×1 series feed antenna arrays based on the conventional CPW-fed antenna. These array configurations are used to achieve higher gain in comparison with stacked solution. Finally we combined both techniques yielding the stacked 4×1 series feed antenna array. Fabricated CPW-fed antenna and the achieved results demonstrate the performance of presented techniques for gain improvements.
Volume: 7
Issue: 4
Page: 2094-2100
Publish at: 2017-08-01

Comparison of Instantaneous Reactive and Notch Filter Algorithms Seven Level Parallel Active Filter

10.11591/ijece.v7i4.pp1779-1788
Farouk Hadj Benali , Fouad Azzouz
This work focused on the association of a seven level Neutral Point Clamped inverter and a parallel active filter. In order to test the efficiency of the 7 level parallel active filter, two reference current generating algorithms are used. The instantaneous reactive power algorithm and the notch filter algorithm. In this study, the instantaneous reactive power method and the notch filter method are presented. Than a section which gives a recall of the NPC multilevel inverter and PWM strategy. A comparison between the two reference current generating algorithms is made. The subjects of comparison are the total harmonic distortion (THD) and the fundamental value of the source current. The obtained simulation results have proved that the instantaneous reactive power technique is better than the notch filter technique. Simulations are carried out by PSIM program.
Volume: 7
Issue: 4
Page: 1779-1788
Publish at: 2017-08-01

Power System Performance Improvement by Optimal Placement and Sizing of SVC using Genetic Algorithm

10.11591/ijape.v6.i2.pp55-62
Prasanth Duraisamy , Arul Ponnusamy
The power system loss minimization becomes more important as the need of power generation is more recent days. The loss minimization improves the voltage profile which improves the loadability of the system. In many types of flexible AC transmission system (FACTS) devices static var compensators (SVC) are cost vise it is affordable and it improves the system performance with lesser size. Here SVC is optimally placed in a test system of 30 bus system. Genetic algorithm is used to find the optimal results.
Volume: 6
Issue: 2
Page: 55-62
Publish at: 2017-08-01

EV-SIFT - An Extended Scale Invariant Face Recognition for Plastic Surgery Face Recognition

10.11591/ijece.v7i4.pp1923-1933
Archana H. Sable , Sanjay N. Talbar , Haricharan Amarsing Dhirbasi
Automatic recognition of people faces many challenging problems which has experienced much attention due to many applications in different fields during recent years. Face recognition is one of those challenging problem which does not have much technique to solve all situations like pose, expression, and illumination changes, and/or ageing. Facial expression due to plastic surgery is one of the additional challenges which arise recently. This paper presents a new technique for accurate face recognition after the plastic surgery. This technique uses Entropy based SIFT (EV-SIFT) features for the recognition purpose. The corresponding feature extracts the key points and volume of the scale-space structure for which the information rate is determined. This provides least effect on uncertain variations in the face since the entropy is the higher order statistical feature. The corresponding EV-SIFT features are applied to the Support vector machine for classification. The normal SIFT feature extracts the key points based on the contrast of the image and the V- SIFT feature extracts the key points based on the volume of the structure. But the EV- SIFT method provides the contrast and volume information. This technique provides better performance when compare with PCA, normal SIFT and V-SIFT based feature extraction.
Volume: 7
Issue: 4
Page: 1923-1933
Publish at: 2017-08-01
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